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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Plant Sci.</journal-id>
<journal-title>Frontiers in Plant Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Plant Sci.</abbrev-journal-title>
<issn pub-type="epub">1664-462X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpls.2021.670369</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Plant Science</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Crucial Cell Signaling Compounds Crosstalk and Integrative Multi-Omics Techniques for Salinity Stress Tolerance in Plants</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Singhal</surname> <given-names>Rajesh K.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1191158/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Saha</surname> <given-names>Debanjana</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Skalicky</surname> <given-names>Milan</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/454996/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Mishra</surname> <given-names>Udit N.</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1319199/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Chauhan</surname> <given-names>Jyoti</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Behera</surname> <given-names>Laxmi P.</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Lenka</surname> <given-names>Devidutta</given-names></name>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1319239/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Chand</surname> <given-names>Subhash</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1259315/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Kumar</surname> <given-names>Vivek</given-names></name>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1251200/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Dey</surname> <given-names>Prajjal</given-names></name>
<xref ref-type="aff" rid="aff9"><sup>9</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Indu</surname></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1251155/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Pandey</surname> <given-names>Saurabh</given-names></name>
<xref ref-type="aff" rid="aff10"><sup>10</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/585646/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Vachova</surname> <given-names>Pavla</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Gupta</surname> <given-names>Aayushi</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Brestic</surname> <given-names>Marian</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff11"><sup>11</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/289749/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>El Sabagh</surname> <given-names>Ayman</given-names></name>
<xref ref-type="aff" rid="aff12"><sup>12</sup></xref>
<xref ref-type="aff" rid="aff13"><sup>13</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/662715/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>ICAR-Indian Grassland and Fodder Research Institute</institution>, <addr-line>Jhansi</addr-line>, <country>India</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Biotechnology, Centurion University of Technology and Management</institution>, <addr-line>Bhubaneswar</addr-line>, <country>India</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Botany and Plant Physiology, Faculty of Agrobiology, Food, and Natural Resources, Czech University of Life Sciences Prague</institution>, <addr-line>Prague</addr-line>, <country>Czechia</country></aff>
<aff id="aff4"><sup>4</sup><institution>Faculty of Agriculture, Sri Sri University</institution>, <addr-line>Cuttack</addr-line>, <country>India</country></aff>
<aff id="aff5"><sup>5</sup><institution>Narayan Institute of Agricultural Sciences, Gopal Narayan Singh University</institution>, <addr-line>Jamuhar</addr-line>, <country>India</country></aff>
<aff id="aff6"><sup>6</sup><institution>Department of Agriculture Biotechnology, Orissa University of Agriculture and Technology</institution>, <addr-line>Bhubaneswar</addr-line>, <country>India</country></aff>
<aff id="aff7"><sup>7</sup><institution>Department of Plant Breeding and Genetics, Orissa University of Agriculture and Technology</institution>, <addr-line>Bhubaneswar</addr-line>, <country>India</country></aff>
<aff id="aff8"><sup>8</sup><institution>Institute of Agriculture Sciences, Banaras Hindu University</institution>, <addr-line>Varanasi</addr-line>, <country>India</country></aff>
<aff id="aff9"><sup>9</sup><institution>Faculty of Agriculture, Sri Sri University</institution>, <addr-line>Cuttack</addr-line>, <country>India</country></aff>
<aff id="aff10"><sup>10</sup><institution>Department of Agriculture, Guru Nanak Dev University</institution>, <addr-line>Amritsar</addr-line>, <country>India</country></aff>
<aff id="aff11"><sup>11</sup><institution>Department of Plant Physiology, Slovak University of Agriculture in Nitra</institution>, <addr-line>Nitra</addr-line>, <country>Slovakia</country></aff>
<aff id="aff12"><sup>12</sup><institution>Department of Agronomy, Faculty of Agriculture, University of Kafrelsheikh</institution>, <addr-line>Kafr El Sheikh</addr-line>, <country>Egypt</country></aff>
<aff id="aff13"><sup>13</sup><institution>Department of Field Crops, Faculty of Agriculture, Siirt University</institution>, <addr-line>Siirt</addr-line>, <country>Turkey</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Bok-Rye Lee, Chonnam National University, South Korea</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Bhaskar Gupta, Government General Degree College, Singur, India; Jian Sun, Jiangsu Normal University, China</p></fn>
<corresp id="c001">&#x002A;Correspondence: Ayman El Sabagh, <email>ayman.elsabagh@agr.kfs.edu.eg</email></corresp>
<fn fn-type="other" id="fn002"><p><sup>&#x2020;</sup>These authors have contributed equally to this work</p></fn>
<fn fn-type="other" id="fn004"><p>This article was submitted to Plant Abiotic Stress, a section of the journal Frontiers in Plant Science</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>13</day>
<month>08</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>670369</elocation-id>
<history>
<date date-type="received">
<day>21</day>
<month>02</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>28</day>
<month>05</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2021 Singhal, Saha, Skalicky, Mishra, Chauhan, Behera, Lenka, Chand, Kumar, Dey, Indu, Pandey, Vachova, Gupta, Brestic and El Sabagh.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Singhal, Saha, Skalicky, Mishra, Chauhan, Behera, Lenka, Chand, Kumar, Dey, Indu, Pandey, Vachova, Gupta, Brestic and El Sabagh</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<p>In the era of rapid climate change, abiotic stresses are the primary cause for yield gap in major agricultural crops. Among them, salinity is considered a calamitous stress due to its global distribution and consequences. Salinity affects plant processes and growth by imposing osmotic stress and destroys ionic and redox signaling. It also affects phytohormone homeostasis, which leads to oxidative stress and eventually imbalances metabolic activity. In this situation, signaling compound crosstalk such as gasotransmitters [nitric oxide (NO), hydrogen sulfide (H<sub>2</sub>S), hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>), calcium (Ca), reactive oxygen species (ROS)] and plant growth regulators (auxin, ethylene, abscisic acid, and salicylic acid) have a decisive role in regulating plant stress signaling and administer unfavorable circumstances including salinity stress. Moreover, recent significant progress in omics techniques (transcriptomics, genomics, proteomics, and metabolomics) have helped to reinforce the deep understanding of molecular insight in multiple stress tolerance. Currently, there is very little information on gasotransmitters and plant growth regulator crosstalk and inadequacy of information regarding the integration of multi-omics technology during salinity stress. Therefore, there is an urgent need to understand the crucial cell signaling crosstalk mechanisms and integrative multi-omics techniques to provide a more direct approach for salinity stress tolerance. To address the above-mentioned words, this review covers the common mechanisms of signaling compounds and role of different signaling crosstalk under salinity stress tolerance. Thereafter, we mention the integration of different omics technology and compile recent information with respect to salinity stress tolerance.</p>
</abstract>
<kwd-group>
<kwd>antioxidant defense</kwd>
<kwd>crosstalk</kwd>
<kwd>homeostasis</kwd>
<kwd>omics approaches</kwd>
<kwd>signaling network</kwd>
<kwd>plant growth regulators</kwd>
<kwd>salinity stress tolerance</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="365"/>
<page-count count="26"/>
<word-count count="0"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1">
<title>Introduction</title>
<p>Soil is an indispensable component of the environment and a fundamental prerequisite for nourishing optimistic plant growth and development. Along with its supporting role, soil provides essential nutrient and mineral elements for the vigorous and productive growth of plants. Despite this, the extensive use of chemical fertilizers, excess irrigation, farm mechanization, and other anthropogenic activities act as stress factors for soil natural properties and lead to soil salinity (<xref ref-type="bibr" rid="B241">Pessarakli and Szabolcs, 1999</xref>). Soil salinity is one of the global indispensable stress factors, affecting plant growth drastically in both irrigated and rain-fed areas (<xref ref-type="bibr" rid="B122">Hussain et al., 2019</xref>; <xref ref-type="bibr" rid="B263">Sabagh et al., 2019</xref>; <xref ref-type="bibr" rid="B179">Liu L. et al., 2020</xref>). According to the Land and Plant Nutrition Management Service report, approximately 6% (&#x003E;45 Mha) of the world&#x2019;s cultivated areas and about one-third of irrigated land on earth is affected by the salinity stress (<xref ref-type="bibr" rid="B34">Carillo et al., 2011</xref>; <xref ref-type="bibr" rid="B60">Deinlein et al., 2014</xref>; <xref ref-type="bibr" rid="B231">Parihar et al., 2015</xref>). Soil salinity situations emerge when glut salts leach and accrue in soil and at the same time, there is no room to flush out the accumulated salts to a well-managed drainage system (<xref ref-type="bibr" rid="B250">Qadir et al., 2008</xref>). At the same time, salt concentration swiftly reaches levels that are injurious to salt-sensitive species and beyond this, salt concentration levels can also affect salt-tolerant species. The initial stage of salinity stress is osmotic stress and perused by ion toxicity, which mainly targets uptake and transport of essential ions in plant roots (<xref ref-type="bibr" rid="B276">Serrano and Rodriguez-Navarro, 2001</xref>). Salinity stress induces considerable changes in physiological, biochemical, and molecular processes, depending on the extent and severity of the stress, types of genotypes, and crop stages which ultimately leads to huge yield penalty in important agricultural crops (<xref ref-type="bibr" rid="B348">Zeng et al., 2001</xref>; <xref ref-type="bibr" rid="B311">Thitisaksakul et al., 2015</xref>; <xref ref-type="bibr" rid="B221">Negr&#x00E3;o et al., 2017</xref>). Osmotic stress culminates in loss of water absorption capacity of the root system, water potential of leaves, membrane damage, nutrients inequity, reduced photosynthetic and metabolic processes, and abatement of the antioxidant defense of plants (<xref ref-type="bibr" rid="B12">Amirjani, 2010</xref>; <xref ref-type="bibr" rid="B345">Yan et al., 2013</xref>; <xref ref-type="bibr" rid="B231">Parihar et al., 2015</xref>). Severe toxicity leads to alterations in crucial plant processes and destroys root functions via modifying redox potential, ion homeostasis, hormonal balance, transpiration, and generates a high amount of ROS [singlet oxygen, superoxide, hydroxyl radical, and hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>)], which damages the cellular membrane integrity and macromolecular structure (carbohydrate, proteins, lipids, and DNA) (<xref ref-type="bibr" rid="B161">L&#x00E4;uchli and Grattan, 2007</xref>; <xref ref-type="bibr" rid="B78">Farkhondeh et al., 2012</xref>). The consequences of salinity on root and plant functions, fundamental processes, and at molecular levels are illustrated in <xref ref-type="fig" rid="F1">Figure 1</xref>.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>The effect of salinity stress on root growth, ionic homeostasis, physiological, biochemical, and molecular processes.</p></caption>
<graphic xlink:href="fpls-12-670369-g001.tif"/>
</fig>
<p>Hence, salt stress adaptivity or tolerance responses are very crucial to develop stress-tolerant varieties under unfavorable situations. As a consequence, plants activate some exclusive physiological, biochemical, and molecular mechanisms in order to survive under stress conditions, which involve the activation of antioxidant enzymes, compartmentalization, uptake and transport of ions, accumulation of osmoprotectants and compatible solutes, ion homeostasis, and secondary metabolites (<xref ref-type="bibr" rid="B101">Gupta and Huang, 2014</xref>; <xref ref-type="bibr" rid="B292">Singhal et al., 2017</xref>). Nevertheless, the natural capacity of plants enable them to achieve the desired food potential under these circumstances. Therefore, researchers are continuously working on finding strategies and mechanisms to boost their final potential. In this regard, identifying differentially expressed genes and gene products and transgenic approaches that are associated with stress tolerance are promising approaches to develop smart crops (<xref ref-type="bibr" rid="B347">Yang and Guo, 2018</xref>). Even if, due to the complex nature and effects of abiotic stresses on plant processes, these strategies are also completely efficient to achieve the goal of food security under climate change. Therefore, recently scientists have been working on finding and elucidating sophisticated signaling and molecular approaches to develop multiple stress-tolerant crops.</p>
<p>At this point, actuating the signal-transduction cascade for versatile climate plant responses includes various adjustments that are produced in an exceptionally well-coordinated way for exhibiting great opportunities to provide stress tolerance. The promoter-reporter approach has also been exceptionally helpful for identifying genes involved in osmotic stress (<xref ref-type="bibr" rid="B124">Ishitani et al., 1997</xref>), and has significantly improved salt-stress monitoring in higher plants. Ionic homeostasis under salt stress is mediated by the SOS (salt overlay sensitive) pathway in a Ca<sup>+2</sup>-dependent manner, which transduces the salt stress signal in a regulated pattern with the SOS3-SOS2 protein kinase complex at the cell membrane that adds an Na<sup>+</sup> ion into the cell and balances ion homeostasis (<xref ref-type="bibr" rid="B133">Ji et al., 2013</xref>; <xref ref-type="bibr" rid="B101">Gupta and Huang, 2014</xref>). Interestingly, several other signaling compounds such as nitric oxide (NO), hydrogen sulfide (H<sub>2</sub>S), H<sub>2</sub>O<sub>2</sub>, Ca, ROS, and plant growth regulators salicylic acid (SA), jasmonic acid (JA), ethylene (ET), and abscisic acid (ABA) have crucial roles during cell signaling and crosstalk as they provide tolerance to multiple stresses (<xref ref-type="bibr" rid="B37">Chauhan et al., 2017</xref>; <xref ref-type="bibr" rid="B225">Noctor et al., 2018</xref>; <xref ref-type="bibr" rid="B236">Pei et al., 2018</xref>). Moreover, germplasm resources and integrated &#x201C;omics-assisted&#x201D; approaches such as phenomics, ionomics, transcriptomics, proteomics, genomics, miRNAomics, lipidomics, and metabolomics are prominently used for developing salt tolerance in crop species (<xref ref-type="bibr" rid="B114">Ho et al., 2020</xref>). Correspondingly, epigenetics and next generation phenotyping also provide efficient platforms in context to the production of salt stress-tolerant species (<xref ref-type="bibr" rid="B132">Jha et al., 2019</xref>). All integrated omics-assisted approaches have contributed extraordinarily to understanding the outcomes of salinity stress and the alterations which plants adopt for survival and mitigation under unfavorable conditions (<xref ref-type="bibr" rid="B197">Mehta et al., 2019</xref>; <xref ref-type="bibr" rid="B228">Pan et al., 2020</xref>; <xref ref-type="bibr" rid="B257">Rasel et al., 2020</xref>). It is important to keep in mind that, in the present perspective, we point out the recent advances in the crosstalk of important signaling compounds and their role under salinity stress tolerance. Further, we address the recent advances in integrative multi-omics approaches, which are crucial to provide salinity tolerance and a future platform to develop promising salt-tolerant varieties for salt stress conditions.</p>
</sec>
<sec id="S2">
<title>Plant Signaling Compounds and Crosstalk Mechanisms Under Stress Regulations</title>
<p>Plants under stressed conditions such as abiotic (heat, cold, salinity, heavy metal) and biotic stresses must be acknowledged and the innate immune system must be activated for survival and better fitness. The survival of plants under stressful conditions depends on compact signaling networks and their crosstalk (<xref ref-type="bibr" rid="B310">Tena et al., 2011</xref>; <xref ref-type="bibr" rid="B293">Sm&#x00E9;kalov&#x00E1; et al., 2014</xref>). Signaling pathway activities are activated after the sensation of a signal produced by a specified receptor that triggers the urging of secondary signals and protein phosphorylation cascades like MAPK signaling. Secondary messengers such as ROS, Ca<sup>2+</sup>, NO, H<sub>2</sub>S, H<sub>2</sub>O<sub>2</sub>, phospholipids, and PGRs act as secondary signals during signaling cascades (<xref ref-type="bibr" rid="B59">DeFalco et al., 2010</xref>; <xref ref-type="bibr" rid="B303">Suzuki et al., 2012</xref>). These signals are involved in signaling pathways through multiple ways and administer fundamental processes such as cell division and growth, differentiation, and programmed cell death under normal as well as abiotic and biotic interactions (<xref ref-type="bibr" rid="B214">M&#x00FC;ller et al., 2010</xref>; <xref ref-type="bibr" rid="B310">Tena et al., 2011</xref>; <xref ref-type="bibr" rid="B270">Sasabe and Machida, 2012</xref>).</p>
<p>Salt stress changes to membrane structures induce metabolic stress, form ROS, and prevent photosynthesis leading to nutrient deficiency (<xref ref-type="bibr" rid="B111">Hasegawa et al., 2000</xref>; <xref ref-type="bibr" rid="B315">Tuteja, 2007</xref>). The growth responses to salinity include two distinct stages (<xref ref-type="bibr" rid="B215">Munns, 1993</xref>). Hormonal signals from the root&#x2019;s delay development, and then switch off the signal when the plant is mature. Growth reduction can be attributed to a salt-specific effect, which often takes a while (varies between weeks to years) to create. The second step is a result of decreased water availability and accumulation of salt in transpiring leaves, adding to thresholds that surpass the capacity of a cell to sequester salts into vacuoles (<xref ref-type="bibr" rid="B215">Munns, 1993</xref>, <xref ref-type="bibr" rid="B216">2005</xref>; <xref ref-type="bibr" rid="B161">L&#x00E4;uchli and Grattan, 2007</xref>). Na<sup>+</sup> reaches cells quite quickly just after the occurrence of salt stress. The increased sodium in this water might influence its salinity adaptation. Therefore, the crucial mechanism of mitogen activates protein kinase and Ca signaling under stress conditions are discussed in the next section.</p>
<sec id="S2.SS1">
<title>Mitogen-Activated Protein Kinase Signaling (MAPK)</title>
<p>The function of MAPK relies on post translational phosphorylation signaling, established by a serine/threonine kinase, i.e., mitogen-activated protein kinase kinase kinase (MAPKKK or MAP3K) that reversibly phosphorylates MAPKK (a dual-specificity kinase), then that phosphorylates MAPKs (<xref ref-type="bibr" rid="B144">Keshet and Seger, 2010</xref>; <xref ref-type="bibr" rid="B293">Sm&#x00E9;kalov&#x00E1; et al., 2014</xref>). MAPKs are involved in phosphorylation of transcription factors, cytoskeleton-associated protein, and protein kinase in plants (<xref ref-type="bibr" rid="B219">Nakagami et al., 2005</xref>). Recently, various researchers established that root growth initiation was due to the activity of Ca<sup>2+</sup> channels and production of auxin which boost the accumulation of NO. This NO is culpable for the modulation in Ca<sup>2+</sup> channel movement and MAPK cascade enzyme activities. ROS molecules, which form as metabolic by-products under stressed conditions, can also induce the activation of MAPKs (<xref ref-type="bibr" rid="B219">Nakagami et al., 2005</xref>).</p>
<p>Plant hormones act as an impressive signaling molecule under both normal and stress conditions. MAPK cascades also respond to various hormone signaling like auxin, SA, JA, brassinosteroids (BRs), strigolactones, ABA, and ET. These signaling molecules accomplish a distinct signaling network, which crosstalk to each other and respond under normal and stress conditions (<xref ref-type="bibr" rid="B63">Devoto and Turner, 2003</xref>; <xref ref-type="bibr" rid="B62">Depuydt and Hardtke, 2011</xref>; <xref ref-type="bibr" rid="B44">Chini et al., 2016</xref>). Treatment with natural and synthetic auxin triggers the prompt actuation of MAPKs in the roots of Arabidopsis (<xref ref-type="bibr" rid="B204">Mockaitis and Howell, 2000</xref>). ABA signaling has a massive role in the plant growth process that deals with the turgor and stomatal activity of plant cells. MPK4, MPK9, MPK12, and MPK15 proteins exist in guard cells (<xref ref-type="bibr" rid="B359">Zhao et al., 2008</xref>), which exhibit the decisive role in ABA signaling and are possibly associated with the activation of the ABA-dependent anion channel (<xref ref-type="bibr" rid="B130">Jammes et al., 2009</xref>). Under stress conditions, ABA induces the production of H<sub>2</sub>O<sub>2</sub> and the expression of catalase (CAT) isoform CAT1. This expression is mediated by Arabidopsis MAP2K, in response to H<sub>2</sub>O<sub>2</sub> (<xref ref-type="bibr" rid="B335">Xing et al., 2008</xref>). H<sub>2</sub>S is considered an endogenous gaseous transmitter that exhibits a specific role in the germination of seed, root growth, stomatal activity, photosynthesis, and abscission of plant organs under normal as well as stressed conditions (<xref ref-type="bibr" rid="B51">Corpas and Palma, 2020</xref>). H<sub>2</sub>S interacts with other signal molecules such as ABA, ethylene, auxin, Ca<sup>2+</sup>, CO, and NO, and controls post transitional modification of proteins (<xref ref-type="bibr" rid="B107">Hancock and Whiteman, 2016</xref>; <xref ref-type="bibr" rid="B343">Xuan et al., 2020</xref>). ABA induced H<sub>2</sub>S accumulation via activating SnRK2.6 activities at Cys131 and Cys137 by <italic>S</italic>-sulfhydration of SnRK2.6 that enhances the interaction of SnRK2.6 with ABA responsive element-binding factor ABF2 (<xref ref-type="bibr" rid="B41">Chen S. et al., 2020</xref>). NO is involved in ABA and ethylene crosstalk (<xref ref-type="bibr" rid="B69">Domingos et al., 2015</xref>). Indeed, NO was produced during the initial phase of seed germination and promoted seedling growth by inducing ABA 8&#x2032;-hydroxylase gene expression and ethylene production. Ethylene protects the Brassicaceae seed from the inhibitory effect of ABA by stimulating weakening and rupturing seed testa and endosperm (<xref ref-type="bibr" rid="B15">Arc et al., 2013</xref>). NO donors inhibit ethylene biosynthesis and prevent the dormancy of seeds and stimulate germination in apples (<xref ref-type="bibr" rid="B95">Gniazdowska et al., 2007</xref>). Breaking of apple seed dormancy by NO encourages ROS production, which stimulates ethylene accumulation due to an increase in ACS and ACO activity (<xref ref-type="bibr" rid="B96">Gniazdowska et al., 2010</xref>). EREBPs, which are described as transcriptional factors induced by NO, and ethylene stimulate EREBP-3 just before the rupturing of endosperm during tobacco seed germination, which is inhibited by ABA (<xref ref-type="bibr" rid="B165">Leubner-Metzger et al., 1998</xref>). H<sub>2</sub>S effectively alleviated ethylene-mediated fruit softening in Kiwi fruits and enhanced the ascorbic acid, starch, sugar protein, and titratable acidity (<xref ref-type="bibr" rid="B170">Li T. T. et al., 2017</xref>). Combined treatment of H<sub>2</sub>S-ET inhibited ET synthesis and its related genes such as ACS6, ACO1, ACO4, ERF1, and ETR4, thus suppressed ET induced petiole abscission in tomatoes (<xref ref-type="bibr" rid="B177">Liu D. et al., 2020</xref>). Treatment with a higher level of NaHS inhibited primary root growth, initiated by ROS and NO accumulation and activation of the MPK6 gene (<xref ref-type="bibr" rid="B352">Zhang et al., 2017</xref>), which denoted that ROS-MPK6-NO cascading intermediates have repressive impacts of high concentration of H<sub>2</sub>S on root activity (<xref ref-type="bibr" rid="B352">Zhang et al., 2017</xref>). H<sub>2</sub>S strengthens the plant capacity to heat and aluminum (Al) tolerance by reducing oxidative damage after interaction with NO (<xref ref-type="bibr" rid="B301">Sun et al., 2016</xref>). Both H<sub>2</sub>S and NO interactions improved the survival rate of plants under heat stress conditions, due to a decrease in malondialdehyde (MDA) accumulation and enhanced antioxidant capacity in maize and strawberry (<xref ref-type="bibr" rid="B316">Uchida et al., 2002</xref>; <xref ref-type="bibr" rid="B47">Christou et al., 2014</xref>; <xref ref-type="bibr" rid="B167">Li J. et al., 2014</xref>; <xref ref-type="bibr" rid="B173">Li Z. G. et al., 2014</xref>).</p>
</sec>
<sec id="S2.SS2">
<title>Calcium (Ca<sup>2+</sup>) Signaling</title>
<p>Under salinity stress, plants depict two forms at the same time including osmotic and ionic stresses. &#x201C;Cell apoptosis versus adaptation&#x201D; is dependent on the timing of two cellular responses: the first prompted by Ca, and the second prompted by oxidative outburst in the apoplast. A delay in the formation and dissipation of a salinity-triggered Ca-dependent signal coupled with ROS activates JA signaling, leading to the death of the cells. In contrast to the same molecular signal, calcium will, when properly timed, activate various adaptive processes including sequestration and extrusion of sodium, and also through ABA signaling. With respect to the perception of external inputs, calcium transients, from a number of extracellular compartments, become cytosolic through transient Ca<sup>2+</sup>-dependent Ca<sup>2+</sup> channels. The &#x201C;Ca<sup>2+</sup>-signature/Ca<sup>2+</sup>-spiking&#x201D; concept became common when it was defined by <xref ref-type="bibr" rid="B329">Webb et al. (1996)</xref>. The pattern of calcium signaling is determined by the type and amplitude of the stimuli. The calcium level in the body has an enormous impact on the success level of life forms. Calcium-binding proteins, functioning as calcium receptors, relay the information to be conveyed from Ca signals. An unprecedented rate of sensitivity is accomplished by a group of calcium binding modules, that include &#x2018;calmodulin&#x2019; (CaM), &#x2018;calmodulin-like protein (CML) family,&#x2019; &#x2018;Ca<sup>2+</sup>-dependent protein kinases&#x2019; (CDPK), Ca<sup>2+</sup>-binding proteins serving as &#x201C;Ca<sup>2+</sup> sensors,&#x201D; &#x2018;calcineurin B-like proteins (CBLs),&#x2019; &#x201C;Ca<sup>2+</sup>-decoders,&#x201D; and &#x2018;CBL-interacting protein kinases (CIPKs)&#x2019; which all together transmit the information embedded within calcium signatures. CaM is conserved regardless of species, while CML, CDPK, and CBL are unique to plants and some prokaryotes (<xref ref-type="bibr" rid="B57">Day et al., 2002</xref>; <xref ref-type="bibr" rid="B108">Harper and Harmon, 2005</xref>; <xref ref-type="bibr" rid="B23">Batisti&#x010D; and Kudla, 2009</xref>). Single-cell systems, including pollen germination, provide an excellent model to unveil the coding mechanism and determinants of &#x201C;Ca<sup>2+</sup>-signature.&#x201D; Induction of calcium transients mainly occurs at the organ level <italic>via</italic> a single spike. The induction of &#x201C;Ca<sup>2+</sup>-signature&#x201D; is in accordance with (i) Ca<sup>2+</sup> in various plasma membrane (PM) and endomembrane (EM) flux channels, (ii) cytosolic Ca<sup>2+</sup> rallying (in and out) induced by Ca<sup>2+</sup> influx and efflux transporters, respectively (<xref ref-type="bibr" rid="B196">McAinsh and Pittman, 2009</xref>; <xref ref-type="bibr" rid="B152">Kudla et al., 2010</xref>). Therefore, plant signaling is very complex in nature and numerous signaling compounds regulate the plant processes under normal and stress conditions.</p>
</sec>
</sec>
<sec id="S3">
<title>Signaling Compounds Crosstalk During Salt Stress Tolerance</title>
<p>Salt tolerance is very complex in nature and affects various processes in plants. In this regard, signaling compounds such as NO, H<sub>2</sub>S, H<sub>2</sub>O<sub>2</sub>, ROS, and plant growth regulators crosstalk with each other and coordinate numerous plant functions and processes, which are associated with salinity tolerance. The crosstalk of various signaling compounds for salinity tolerance are discussed, followed, and represented in <xref ref-type="table" rid="T1">Table 1</xref> and <xref ref-type="fig" rid="F2">Figure 2</xref>.</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>The crosstalk of crucial signaling compounds under salinity stress and their salt tolerance mechanism in different crops.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Crosstalk</td>
<td valign="top" align="left">Crop</td>
<td valign="top" align="left">Salt tolerance mechanism</td>
<td valign="top" align="left">References</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">GST-NO</td>
<td valign="top" align="left"><italic>Glycine max</italic> L.</td>
<td valign="top" align="left">NO induces the GST1 and GST4 isoenzymes and transcript levels in ABA-dependent and independent pathways</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B67">Dinler et al. (2014)</xref></td>
</tr>
<tr>
<td valign="top" align="left">NO-CaCl<sub>2</sub></td>
<td valign="top" align="left"><italic>Brassica juncea</italic> L. cv. Varuna</td>
<td valign="top" align="left">Enhances the antioxidant enzymes activities (SOD, CAT, APX, GR, and POX), osmoprotectant (proline and glycinebetaine), and nutrient homeostasis (increase leaf K<sup>+</sup>, Ca, and decrease Na<sup>+</sup>). Combined application reduces oxidative stress by decreasing H<sub>2</sub>O<sub>2</sub> content and lipid peroxidation</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B146">Khan et al. (2012)</xref></td>
</tr>
<tr>
<td valign="top" align="left">H<sub>2</sub>O<sub>2</sub>-NO</td>
<td valign="top" align="left"><italic>Oryza sativa</italic> L. cv. Nipponbare</td>
<td valign="top" align="left">Improves antioxidant enzymes activity, and induces the expression of sucrose phosphate synthase (SPS), &#x0394;&#x2032;-pyrroline-5-carboxylate synthase, and HSP26</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B316">Uchida et al. (2002)</xref></td>
</tr>
<tr>
<td valign="top" align="left">H<sub>2</sub>O<sub>2</sub>-NO</td>
<td valign="top" align="left"><italic>P. euphratica</italic> and <italic>P. popularis</italic></td>
<td valign="top" align="left">Improves antioxidant defense by activating antioxidant enzymes, reduces oxidative stress, and maintains redox and nutrient homeostasis</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B302">Sun et al. (2010)</xref></td>
</tr>
<tr>
<td valign="top" align="left">H<sub>2</sub>S-NO</td>
<td valign="top" align="left"><italic>Medicago sativa</italic> L., Victoria</td>
<td valign="top" align="left">Induction of APX1, APX2, Mn-SOD, Fe-SOD, Cu/Zn-SOD isoforms transcripts level, and re-establishment of ion homeostasis</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B328">Wang et al. (2012)</xref></td>
</tr>
<tr>
<td valign="top" align="left">H<sub>2</sub>S-H<sub>2</sub>O<sub>2</sub></td>
<td valign="top" align="left"><italic>Arabidopsis thaliana</italic></td>
<td valign="top" align="left">Promotes the expression and phosphorylation of PM H<sup>+</sup>-ATPase and Na<sup>+</sup>-H<sup>+</sup> antiporter protein, and regulates the activity of G6PDH and PM NADPH oxidase in roots</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B147">Khan et al. (2020)</xref></td>
</tr>
<tr>
<td valign="top" align="left">H<sub>2</sub>S-H<sub>2</sub>O<sub>2</sub></td>
<td valign="top" align="left"><italic>Vicia faba</italic></td>
<td valign="top" align="left">Increased L/D cysteine desulfhydrase activity and induction of stomata closing</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B188">Ma et al. (2019)</xref></td>
</tr>
<tr>
<td valign="top" align="left">H<sub>2</sub>O<sub>2</sub>-NO</td>
<td valign="top" align="left"><italic>Citrus aurantium</italic> L.</td>
<td valign="top" align="left">Prevents the modification in accumulation levels of crucial enzymes in the Calvin-Benson cycle, switches &#x2018;on&#x2019; the antioxidant immunity system, prevents protein carbonylation, protects plant metabolism by regulating the enzymes in mitochondria, and protein reprogramming by prevention of NaCl responsive proteins</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B309">Tanou et al. (2009)</xref></td>
</tr>
<tr>
<td valign="top" align="left">H<sub>2</sub>O<sub>2</sub>-NO-Ca</td>
<td valign="top" align="left"><italic>Bruguiera gymnorrhiza</italic> and <italic>Kandelia candel</italic></td>
<td valign="top" align="left">Maintains ion flux and K<sup>+</sup>/Na<sup>+</sup> ion homeostasis</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B184">Lu et al. (2013b)</xref></td>
</tr>
<tr>
<td valign="top" align="left">NO-H<sub>2</sub>S</td>
<td valign="top" align="left"><italic>Capsicum annuum</italic> L</td>
<td valign="top" align="left">Improves total, shoot, and root biomass, decreases oxidative stress by reducing H<sub>2</sub>O<sub>2</sub> production, prevents electrolyte leakage and MDA content, promotes CAT and SOD antioxidant activity, and maintains ion homeostasis</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B143">Kaya et al. (2020)</xref></td>
</tr>
<tr>
<td valign="top" align="left">Ca-ROS</td>
<td valign="top" align="left"><italic>Arabidopsis thaliana</italic> and Halophytes</td>
<td valign="top" align="left">Promotes cytosolic ion balance and downstream signaling in activation of antioxidant enzymes</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B155">Kurusu et al. (2015)</xref></td>
</tr>
<tr>
<td valign="top" align="left">H<sub>2</sub>O<sub>2</sub>-NO-Ca</td>
<td valign="top" align="left"><italic>Chenopodium quinoa</italic></td>
<td valign="top" align="left">Induces amylase activity, seed reserve hydrolysis, accumulation of water-soluble sugar, and enhances protein and amino acid contents in seedlings</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B106">Hajihashemi et al. (2020)</xref></td>
</tr>
<tr>
<td valign="top" align="left">Ca-H<sub>2</sub>S</td>
<td valign="top" align="left"><italic>Vigna radiate</italic></td>
<td valign="top" align="left">Promotes ion homeostasis, improves transport of nutrients, reduces oxidative damage, and induces antioxidants defense and proline metabolism</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B147">Khan et al. (2020)</xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<attrib><italic>&#x03A8; HSP, heat shock protein; G6PDH, glucose-6-phosphate dehydrogenase; ROS, reactive oxygen species; CAT, catalase; SOD, sodium dismutase; MDA, malondialdehyde; APX, ascorbate peroxidase; POX, peroxidase.</italic></attrib>
</table-wrap-foot>
</table-wrap>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>The crosstalk of signaling compounds and function regulated under salinity stress.</p></caption>
<graphic xlink:href="fpls-12-670369-g002.tif"/>
</fig>
<sec id="S3.SS1">
<title>NO Crosstalk</title>
<p>Nitric oxide is the primary gasotransmitter, administering numerous physiological and signaling functions, and also promotes salinity tolerance in plants (<xref ref-type="bibr" rid="B334">Xie et al., 2008</xref>). In recent years, it was confirmed that NO crosstalk with other signaling compounds and phytohormone signaling pathways helps in alleviating salinity stress (<xref ref-type="bibr" rid="B309">Tanou et al., 2009</xref>; <xref ref-type="bibr" rid="B242">Po&#x00F3;r and Tari, 2011</xref>; <xref ref-type="bibr" rid="B356">Zhao et al., 2018</xref>). Auxin (AUX), ET, and ABA are imperative plant hormones that move from salt-treated roots to leaves that induce synthesis of NO or are transported throughout the plant (<xref ref-type="bibr" rid="B206">Molassiotis et al., 2010</xref>). Further, an increase in antioxidant activity and a decrease in thiobarbituric acid, which is reactive material content, is associated with NO-induced alleviation of oxidative damage in saline areas (<xref ref-type="bibr" rid="B339">Xu J. et al., 2011</xref>). In cotton, supplying exogenously NO (using SNP sodium nitroprusside for the NO donor) reduces the salt-induced senescence in leaves through downregulating the manifestation of ABA biosynthesis genes such as <italic>NCED 9</italic> (9-<italic>cis</italic>-epoxycarotenoid- dioxygenase) and <italic>NCED 2</italic> (<xref ref-type="bibr" rid="B150">Kong et al., 2016</xref>). In Arabidopsis, a callus treated with 100 mM of NaCl stimulated NO accumulation that added to ET emission, and resulted in induction of H<sup>+</sup>-ATPase gene expression in the plasma membrane (PM) (<xref ref-type="bibr" rid="B326">Wang et al., 2009</xref>). However, an antagonistic relationship between NO and ET in a suspension culture of tomato cells treated with 100 and 200 mM of NaCl was reported and suggested that an increase in ET synthesis encourages ROS production that is associated with high dead cell ratio, whereas production of NO curtails the dead cell ratio (<xref ref-type="bibr" rid="B242">Po&#x00F3;r and Tari, 2011</xref>). In the cell suspension culture and segments of apical root, both lack NO and ET-generated (Na<sup>+</sup>/K<sup>+</sup>) ionic imbalance, respectively, that leads to an increase in susceptibility toward salinity stress (<xref ref-type="bibr" rid="B243">Po&#x00F3;r et al., 2011</xref>). Application of SA and SNP, in combination, reduces NaCl-induced toxicity by supplementing the accumulation of proline and stimulation of GPX (glutathione peroxidase), CAT (catalase), and APX (ascorbate peroxidase) in soybean seedlings (<xref ref-type="bibr" rid="B289">Simaei et al., 2011</xref>). SA interaction along with signaling flow of NO alters the photosynthetic capacity along with diminished accumulation of H<sub>2</sub>O<sub>2</sub>, which enhances the influx of H<sup>+</sup>-ATPase into PM. The collaborative effect of both SA and NO promotes the absorption of Ca<sup>2+</sup>/Mg<sup>2+</sup> with decreased Na<sup>+</sup> uptake in saline conditions (<xref ref-type="bibr" rid="B70">Dong et al., 2015</xref>).</p>
<p>Among metabolites, sulfur is the main constituent present in reduced glutathione (GSH), methionine, coenzyme A, cysteine (Cys), iron&#x2013;sulfur (Fe&#x2013;S), thioredoxin, and sulfo-lipid systems associated with regulating the physiological process in salt stress environments (<xref ref-type="bibr" rid="B145">Khan et al., 2013</xref>). Further, NO enhances S-assimilation which is linked with ET synthesis through cysteine production. Sulfur and NO interact to regulate ABA and ET level in the guard cell and regulate photosynthetic and stomatal activities under salt conditions (<xref ref-type="bibr" rid="B80">Fatma et al., 2016</xref>). NO acts as a crucial regulatory signal, which activates various biochemical activities and their interaction with the sulfhydryl and nitro class during nitration enhances tolerance against salinity (<xref ref-type="bibr" rid="B164">Leterrier et al., 2011</xref>). NO along with other signaling compounds like H<sub>2</sub>S helps in building tolerance toward salinity stress in plants. It is observed that exogenous application of NO under saline conditions alters proline (Pro) metabolism and enhances the ratio of free proline accumulation that maintains the turgor potential and protects cucumber seedlings from salinity (<xref ref-type="bibr" rid="B76">Fan et al., 2012</xref>). In mustard, CaCl<sub>2</sub> and/or SNP application alleviates salt stress by influencing antioxidant enzyme activities along with promoting glycinebetaine (gb) and proline (pro) accumulation, which is associated with a decrease in H<sub>2</sub>O<sub>2</sub>, TBARS (thiobarbituric acid reactive substances), and electrolyte leakage (<xref ref-type="bibr" rid="B146">Khan et al., 2012</xref>). In <italic>Lactuca sativa</italic>, application of NaCl triggers osmotic, oxidative, and ionic stress that arise into hormonal imbalances and reduced growth of the plant. Exogenous NO application results in reduction of Na<sup>+</sup> accumulation, balancing the concentration of mineral nutrient, which is associated with balanced photosynthetic rate along with the established growth (<xref ref-type="bibr" rid="B33">Campos et al., 2019</xref>). Through NO signaling, phytohormone balance leads to osmotic regulation and also activates the antioxidant system with subsequent increase in tolerance level against salinity. The corm of <italic>Crocus sativus</italic> treated with NO shows more growth under salt-stress and promotes biosynthesis of the secondary metabolites, deposition of compatible solutes, and accelerates antioxidative enzyme activity, whereas treatment with SA did not boost plant growth during salinity (<xref ref-type="bibr" rid="B20">Babaei et al., 2021</xref>). Under saline conditions, NO-releasing substances and melatonin application counteracted inhibition of NaCl-treated seedling growth in addition to redox and ion homeostasis which is proved by retardation of ROS overproduction, Na+/K+ ratio, and reduction in the synthesis of TBARS. Consequently, increased level of NO augments addition of melatonin in seedling roots under salt stress (<xref ref-type="bibr" rid="B356">Zhao et al., 2018</xref>). Therefore, NO acts as an important signaling network with different signaling factors in plant systems under salinity stress.</p>
</sec>
<sec id="S3.SS2">
<title>H<sub>2</sub>S Crosstalk</title>
<p>Hydrogen sulfide is a signaling molecule, which plays a major role in adventitious rooting, postharvest senescence, and seed germination (<xref ref-type="bibr" rid="B61">Deng et al., 2020</xref>), and provides a protective response toward multiple abiotic and biotic stresses (<xref ref-type="bibr" rid="B50">Corpas, 2019</xref>). Salt tolerance is enhanced through H<sub>2</sub>S by increased soluble protein content and chlorophyll under saline conditions but also inhibits ROS accumulation (<xref ref-type="bibr" rid="B212">Mostofa et al., 2015a</xref>). H<sub>2</sub>S donors which are identified/synthesized include CaS<sub>2</sub>, morpholin-4-ium 4-methoxyphenyl (morpholino) phosphinodithioate (GYY4137), sodium hydrosulfide (NaHS), NOSH-aspirin, dialkyldithiophosphate (ZDDP), AP39, and diallyl trisulfide (DATS). NOSH-aspirin releases two gasotransmitters simultaneously, H<sub>2</sub>S and NO (<xref ref-type="bibr" rid="B149">Kodela et al., 2012</xref>).</p>
<p>In plants, ROS levels are regulated by two ways, by scavenging excess ROS through antioxidant substances (like glutathione and ascorbate) and antioxidant enzymes linked with the AsA&#x2013;GSH (ascorbate&#x2013;glutathione) cycle. Accumulation of ROS is reduced by external application of H<sub>2</sub>S because H<sub>2</sub>S promotes antioxidant enzyme activities like SOD and CAT in Chinese cabbage (<xref ref-type="bibr" rid="B350">Zhang et al., 2015</xref>). From this we can assume that activity of antioxidant enzymes may be controlled by H<sub>2</sub>S through their protein expressions, thus decreasing accumulation of ROS due to Al toxicity. It can also maintain membrane integrity and ROS homeostasis by controlling the antioxidant mechanism (AsA-GSH cycle and enzymes), therefore enhancing the tolerance level in plants toward salinity stress. In recent studies, by maintaining Na<sup>+</sup>/K<sup>+</sup> homeostasis, H<sub>2</sub>S helps in enhancing plant salt tolerance level. Under salinity conditions, the content of cellular Na<sup>+</sup> mainly increased whereas K<sup>+</sup> content reduced in rice, which shows a hike in Na<sup>+</sup>/K<sup>+</sup> ratio in leaves and roots of rice. Therefore, exogenous H<sub>2</sub>S application maintains Na<sup>+</sup>/K<sup>+</sup> homeostasis in saline conditions in rice (<xref ref-type="bibr" rid="B213">Mostofa et al., 2015b</xref>).</p>
<p>Along with NO as a molecule for signaling, H<sub>2</sub>S is also included in stress responses as they exist in a synergistic relationship (<xref ref-type="bibr" rid="B107">Hancock and Whiteman, 2016</xref>). The upstream and downstream relationship between H<sub>2</sub>S and NO focuses on two factors: NO involvement in the stress tolerance enhances H<sub>2</sub>S in plants and NO-induced stress tolerance where H<sub>2</sub>S acts as a downstream signal molecule. Nitrosothiol is a new compound produced when H<sub>2</sub>S reacts with NO and also results in a decrease of both the compound levels (<xref ref-type="bibr" rid="B117">Huang et al., 2020</xref>). In Arabidopsis roots, treatment with 100 mM of NaCl causes electrolyte discharge and also disturbs the Na<sup>+</sup>/K<sup>+</sup> ratio but post treatment with NaHS promoted tolerance toward salt in roots (<xref ref-type="bibr" rid="B172">Li et al., 2016</xref>). Production of H<sub>2</sub>S in alfalfa plants boosted the tolerance level against salinity in the germination stage of seeds which may be induced through oxidative damage (<xref ref-type="bibr" rid="B328">Wang et al., 2012</xref>). H<sub>2</sub>S and NO modify the activity of many antioxidant enzymes like CAT, APX, and SOD to scavenge ROS which deceases their accumulation, thus helping in enhancing the tolerance level of plants toward higher salinity conditions (<xref ref-type="bibr" rid="B56">da-Silva et al., 2018</xref>).</p>
<p>Hydrogen sulfide interaction with various phytohormones such as ET, MT, ABA, and SA plays a fundamental role in response to abiotic stress (<xref ref-type="bibr" rid="B117">Huang et al., 2020</xref>). Gene expression related to ABA metabolism is increased by the exogenous H<sub>2</sub>S along with an upregulation of ABA receptor expression levels in roots of wheat during stress conditions, which indicates that the stress tolerance of wheat is promoted by H<sub>2</sub>S through the involvement of the ABA signaling pathway (<xref ref-type="bibr" rid="B186">Ma et al., 2016</xref>). When production of NO is restricted, ET is reduced which enhances the level of H<sub>2</sub>S. A study on <italic>Vicia faba</italic> L. showed that H<sub>2</sub>S biosynthesis inhibitors do not block the stomatal closure which is ET-induced with NO accumulation (<xref ref-type="bibr" rid="B180">Liu et al., 2016</xref>). Through the activation of endogenously synthesized H<sub>2</sub>S, SA enhances the tolerance level of plants toward several other abiotic stresses. Crosstalk of NO and H<sub>2</sub>S plays a crucial role in promoting the tolerance level against abiotic stresses. H<sub>2</sub>S not only regulates the uptake along with transport of metal ions and maintains Na<sup>+</sup>/K<sup>+</sup> homeostasis during salinity but also shows an interaction with different signaling molecules such as Cys, phytohormones, and NO for enhancing the plant tolerance toward salinity stress.</p>
</sec>
<sec id="S3.SS3">
<title>H<sub>2</sub>O<sub>2</sub> Crosstalk</title>
<p>Hydrogen peroxide is synthesized in a form of ROS and as a result of oxidative stress that cause damage due to excess accumulation of ROS under different stress conditions, which results in the death of cells (<xref ref-type="bibr" rid="B83">Fotopoulos et al., 2006</xref>). H<sub>2</sub>O<sub>2</sub> production is induced in plants following exposure to a different range of environmental stimuli. Further, it was found that H<sub>2</sub>O<sub>2</sub> acts as a signal to determine different physiological, biochemical, and molecular responses within plants and cells and their crosstalk in between other signaling pathways (<xref ref-type="bibr" rid="B222">Neill et al., 2002</xref>). NO and H<sub>2</sub>O<sub>2</sub> signaling pathways are coordinated and tightly linked to different plant responses toward the environmental stimuli (<xref ref-type="bibr" rid="B205">Molassiotis and Fotopoulos, 2011</xref>). Alteration in production of both NO and H<sub>2</sub>O<sub>2</sub> is considered under these plant responses toward salt stress (<xref ref-type="bibr" rid="B354">Zhang et al., 2006</xref>). Further, it was reported that expression of the <italic>AtNOA1</italic> gene in Arabidopsis was suppressed by NaCl treatment which leads to a reduced NO level (<xref ref-type="bibr" rid="B357">Zhao M. G. et al., 2007</xref>). In contrast, expression of <italic>OsNOA1</italic>, the rice homolog of <italic>AtNOA1</italic>, was moderately enhanced due to salinity (<xref ref-type="bibr" rid="B252">Qiao et al., 2009</xref>). By pre-treating wheat seeds with H<sub>2</sub>O<sub>2</sub>, the salt tolerance level of the seedlings was improved (<xref ref-type="bibr" rid="B324">Wahid et al., 2007</xref>). Apart from the biosynthetic level, H<sub>2</sub>O<sub>2</sub> and NO crosstalk are also included in protein activity and regulation of gene expression (<xref ref-type="bibr" rid="B251">Qiao et al., 2014</xref>). In Bermuda grass, NO and H<sub>2</sub>O<sub>2</sub> regulate induction of CAT and SOD activity through ABA (<xref ref-type="bibr" rid="B182">Lu et al., 2009</xref>). From further studies, it has been observed that both ABA-dependent NO and H<sub>2</sub>O<sub>2</sub> influenced the activity of antioxidant enzymes and transcription under salt tolerance (<xref ref-type="bibr" rid="B353">Zhang et al., 2009</xref>). Consequently, SA enhances endogenous H<sub>2</sub>O<sub>2</sub> levels significantly through regulating activation of SOD. Therefore, SA and H<sub>2</sub>O<sub>2</sub> work together in a self-amplifying process (<xref ref-type="bibr" rid="B256">Rao et al., 1997</xref>). The high concentration of H<sub>2</sub>O<sub>2</sub> causes oxidative/nitrosative stress, while in low concentrations H<sub>2</sub>O<sub>2</sub> acts as a signaling molecule to regulate stress responses.</p>
</sec>
<sec id="S3.SS4">
<title>Ca Crosstalk</title>
<p>Calcium is an important signaling molecule, and secondary messenger crosstalk with several other signaling compounds help in the mitigation of salinity stress. Several studies have shown that flavonoids and phenylalanine ammonia lyase (PAL) activity are elevated after adding calcium chloride or an ionophore to the nutrient medium of a plant species (<xref ref-type="bibr" rid="B229">Paranhos, 2014</xref>). Ca<sup>2+</sup>-mediated modulation for the development of the specialized metabolites is collectively induced by JA(<xref ref-type="bibr" rid="B162">Lee-Parsons and Ert&#x00FC;rk, 2005</xref>), ABA (<xref ref-type="bibr" rid="B322">Vighi et al., 2019</xref>), and SA (<xref ref-type="bibr" rid="B99">Guo H. et al., 2015</xref>). The effects of MT and Ca, and how they affect the development of phenolic compounds (PCs), were investigated in the plant <italic>Dracaena kotschy</italic>i under stress conditions of salt water and compared with control. <xref ref-type="bibr" rid="B319">Vafadar et al. (2020b)</xref> reported that external NaCl application (mimicking salinity stress) reduces dry biomass of shoots but elevates H<sub>2</sub>O<sub>2</sub> content, electrolyte leakage (EL) level, and 2,2-diphenyl-1-picrylhydrazyl (DPPH) scavenging ability, and upregulates gene expression of PAL, RAS, and TAL enzymes. <xref ref-type="bibr" rid="B317">Vafadar et al. (2020a)</xref> found that pre-treatment of <italic>D. kotschyi</italic> with a Mel biosynthetic pathway inhibitor has no effect on Ca<sup>2+</sup>-mediated production of PCs in salt-affected plants. On the contrary, pre-treatment of <italic>D. kotschyi</italic> with a plasma membrane channel blocker, Ca<sup>2+</sup> chelator, and calmodulin (CaM) antagonist resulted in impairment of Mel effects under salinity stress. This suggests that biosynthetic triggering of phenolics is attributed to Mel application only when influx of Ca<sup>2+</sup> (carry out Ca<sup>2+</sup>/CaM signaling) ions are there (<xref ref-type="bibr" rid="B317">Vafadar et al., 2020a</xref>,<xref ref-type="bibr" rid="B319">b</xref>,<xref ref-type="bibr" rid="B318">c</xref>).</p>
<p>Under stress conditions, H<sub>2</sub>O<sub>2</sub> and NO interact with Ca<sup>2+</sup> ions forming an intricate signaling web to withstand salinity (<xref ref-type="bibr" rid="B110">Hasanuzzaman et al., 2018</xref>). Under salt stress conditions, it was observed that pre-treated quinoa seeds with an NO donor (sodium nitroprusside; SNP), a reactive oxygen species (H<sub>2</sub>O<sub>2</sub>), and CaCl<sub>2</sub> showed a significant positive linear correlation with germination rate (GR) and germination index (GI), whereas a reversed linear correlation occurred between them with mean germination time (MGT) (<xref ref-type="bibr" rid="B106">Hajihashemi et al., 2020</xref>). The pretreatment enabled seed germination and rapid seedling establishment in the salt-affected soil. Pre-treating with NaCl completely prevented the decrease in the activities of alpha amylase and beta amylase. Salinity stress decreases seed germination by inhibiting the main enzymes, &#x03B1;- and &#x03B2;-amylase, which hydrolyze starch during germination, and pretreatment lowered this negative effect of salinity on these enzymes. Studies indicate that exposure to molecules, such as H<sub>2</sub>O<sub>2</sub> or CaCl<sub>2</sub>, may reduce the adverse effect of environmental stress on amylase activity and restore normal germination (<xref ref-type="bibr" rid="B360">Zheng et al., 2009</xref>; <xref ref-type="bibr" rid="B171">Li et al., 2013</xref>; <xref ref-type="bibr" rid="B174">Li Z. et al., 2017</xref>; <xref ref-type="bibr" rid="B30">Bouall&#x00E8;gue et al., 2017</xref>). The most significant finding from the study conducted by <xref ref-type="bibr" rid="B106">Hajihashemi et al. (2020)</xref> was that the presence of NO, H<sub>2</sub>O<sub>2</sub>, and Ca<sup>2+</sup> resulted in enhanced amylase activity. The rise in starch degradation increases germination, and more seeds sprout (<xref ref-type="bibr" rid="B171">Li et al., 2013</xref>). This connection could alleviate the negative impact of salt stress on quinoa germination.</p>
<p>Polyamines (PAs), like putrescine, spermidine, and spermine, are well regarded besides their substantial plant developmental processes and adaptation toward environmental cues (<xref ref-type="bibr" rid="B233">Pathak et al., 2014</xref>). It has been established that PAs play a vital role in a variety of cellular pathways including programmed cell death. Expression levels of PA biosynthesis-related genes were shown to be modulated under stress (<xref ref-type="bibr" rid="B102">Gupta et al., 2013</xref>; <xref ref-type="bibr" rid="B285">Shi and Chan, 2014</xref>). The modulatory response of arginine decarboxylase (ADC) (regulatory enzyme of PA biosynthesis) to salinity is a key regulator of the adaptive response in plants (<xref ref-type="bibr" rid="B178">Liu et al., 2006</xref>). Transcriptomics of PA biosynthetic genes in different varieties of rice revealed that the ADC gene is induced under salinity stress (<xref ref-type="bibr" rid="B68">Do et al., 2014</xref>). Studies indicated that perhaps the PA metabolic pathway is in intricate crosstalk with other signaling pathways including ABA, H<sub>2</sub>O<sub>2</sub>, and gamma-aminobutyrate (GABA) (<xref ref-type="bibr" rid="B193">Marco et al., 2011</xref>; <xref ref-type="bibr" rid="B275">Seifikalhor et al., 2019</xref>). Within that direction, <xref ref-type="bibr" rid="B138">Kalhor et al. (2018)</xref> have demonstrated that GABA helps increase salinity tolerance in lettuce. PA metabolism further induces NO output, which has been linked to several other stress intermediaries like Ca<sup>2+</sup> ions and protein kinases. Under salinity conditions, PAs can engage ion channel proteins thereby affecting their conductivity (<xref ref-type="bibr" rid="B355">Zhao F. et al., 2007</xref>; <xref ref-type="bibr" rid="B320">Velarde-Buend&#x00ED;a et al., 2012</xref>). <xref ref-type="bibr" rid="B88">Garufi et al. (2007)</xref> proposed that PAs perform through regulating the activity of multiple ion channels indirectly by enhancing interactions with &#x201C;14&#x2013;3&#x2013;3 proteins&#x201D; (a family of highly conserved regulatory molecules). In stressful conditions, it is possible that high levels of cytoplasmic Ca<sup>2+</sup> can be deleterious to standard cellular metabolism. Since active Ca<sup>2+</sup> efflux networks play a pivotal role in sustaining cell Ca<sup>2+</sup> contents, PAs activate Ca<sup>2+</sup> efflux mechanisms, such as the PM channel and the membrane Ca<sup>2+</sup>-ATPase, while maintaining steady plasma Ca<sup>2+</sup> levels (<xref ref-type="bibr" rid="B248">Pottosin et al., 2012</xref>, <xref ref-type="bibr" rid="B247">2014</xref>; <xref ref-type="bibr" rid="B246">Pottosin and Shabala, 2014</xref>). In this regard, PAs metabolism is related to Ca<sup>2+</sup> signaling indirectly, even though underlying regulatory mechanisms remain unclear.</p>
<p>Several studies indicate the control of NO metabolism during salt tolerance (<xref ref-type="bibr" rid="B331">Wimalasekera et al., 2011</xref>; <xref ref-type="bibr" rid="B7">Ahmad et al., 2016</xref>). As a major NO production pathway, NO synthase (NOS) enzyme leads to most of the NO production in animals (<xref ref-type="bibr" rid="B269">Santolini et al., 2017</xref>) and plants (<xref ref-type="bibr" rid="B210">Moreau et al., 2008</xref>). When realizing that NO is a molecule linked to PAs via the common precursor of 1-arginine, it could be probable that PAs like spermidine and spermine produce NO in plants. The role of NO in signaling may be influenced by mobilization of intracellular calcium or interaction with calcium channels which ultimately elicit Ca<sup>2+</sup> signaling (<xref ref-type="bibr" rid="B54">Courtois et al., 2008</xref>). These underlying mechanisms of Ca<sup>2+</sup> and NO signaling affect each other. NO synthesis mediated by NOS operates via Ca<sup>2+</sup> and CaM signaling (<xref ref-type="bibr" rid="B52">Corpas et al., 2004</xref>, <xref ref-type="bibr" rid="B53">2006</xref>). <xref ref-type="bibr" rid="B159">Lamotte et al. (2006)</xref> found that NO plays a massive part in the activation of plasma membrane channels and the subsequent release of Ca<sup>2+</sup> under salt stress recovery.</p>
</sec>
<sec id="S3.SS5">
<title>ROS Crosstalk</title>
<p>The &#x2018;salt overly sensitive&#x2019; (SOS) pathway could potentially play an important role in the membrane conductance of the root epidermal cell of plants to the extracellular acidic environment, thereby helping to detoxify this ion in the root epidermal cells and thereby extruding this ion form the root epidermal cells (<xref ref-type="bibr" rid="B253">Quintero et al., 2002</xref>; <xref ref-type="bibr" rid="B194">Mart&#x00ED;nez-Atienza et al., 2007</xref>). The &#x201C;salt overly sensitive&#x201D; (SOS) pathway forms a critical pillar for preserving ion homeostasis when exposed to salinity stress (<xref ref-type="bibr" rid="B133">Ji et al., 2013</xref>). Nevertheless, during salinity, sustained accumulation and scavenging of ROS serve mostly as distress indicators, whereas redox homeostasis as well as antioxidant signaling at the cellular levels are engaged in stress sensing and tolerance. However, high levels of ROS accumulation can impair essential plant metabolic processes and development (<xref ref-type="bibr" rid="B92">Gill and Tuteja, 2010</xref>; <xref ref-type="bibr" rid="B29">Bose et al., 2014</xref>; <xref ref-type="bibr" rid="B128">Jajic et al., 2015</xref>). Electrons released by oxidants serve as a signaling cue in the cell to alert the plant to stress adaptation (<xref ref-type="bibr" rid="B203">Mittler et al., 2011</xref>). Salinity stress also causes ROS-mediated damage to lipids and proteins, and contributes to programmed cell death (<xref ref-type="bibr" rid="B244">Po&#x00F3;r et al., 2012</xref>). Yet, ROS and calcium (Ca<sup>2+</sup>) are considered to be effective intracellular signals (<xref ref-type="bibr" rid="B94">Gilroy et al., 2014</xref>). In response to a high salinity environment, cytosolic calcium increases, which stimulates calcium sensors and calcium signaling pathways (<xref ref-type="bibr" rid="B31">Boudsocq and Sheen, 2009</xref>). However, plants also employ ion transport control (e.g., sodium and potassium accumulation), compatible solute aggregation, and expression of genes under salt stress (<xref ref-type="bibr" rid="B155">Kurusu et al., 2015</xref>).</p>
<p>Reactive oxygen species are continually formed in plant organelles as inevitable byproducts of metabolic activities (<xref ref-type="bibr" rid="B13">Apel and Hirt, 2004</xref>; <xref ref-type="bibr" rid="B3">Abogadallah, 2010</xref>). Although, the increased oxidative stress that would lead to cell death through apoptosis is preventable and can be counteracted with antioxidants, it would also be a point of differentiation. It is clearly right, as many plants often undergo necroptosis, including those that do not typically reside in a stressful climate (<xref ref-type="bibr" rid="B48">Coll et al., 2011</xref>). In comparison, singlet oxygen is utilized as a substrate of lipoxygenases activating a metabolic cascade that will produce a further essential stress signal, JA (<xref ref-type="bibr" rid="B79">Farmer and Mueller, 2013</xref>). Furthermore, ABA synthesis is also triggered by ROS (<xref ref-type="bibr" rid="B336">Xiong and Zhu, 2003</xref>). Plant species under salinity or drought stress will close their stomata and thus reduce moisture loss and their CO<sub>2</sub> influx (<xref ref-type="bibr" rid="B116">Hsu and Kao, 2003</xref>). Subsequently, carbon reduction and photosynthetic NADPH utilization by the Calvin cycle decreases, resulting in the development of electron holes in photosystem I that leads to electron leakage to O<sub>2</sub> (<xref ref-type="bibr" rid="B313">T&#x00FC;rkan and Demiral, 2009</xref>).</p>
<p>Peroxisomal glycolate oxidase is a major source of ROS that is involved both in basal conditions and stress conditions (<xref ref-type="bibr" rid="B202">Mittler, 2002</xref>). ROS quenching can also be accomplished by other signaling molecules such as NO. NO nullifies Fenton-type oxidative stress by scrounging superoxide thus inhibiting the development of oxidizing agents that leads to recovery of redox homeostasis (<xref ref-type="bibr" rid="B158">Lamattina et al., 2003</xref>). As an alternate regulator of NO and GSH, H<sub>2</sub>S, recently identified as a signaling molecule in crops, enhances GSH concentrations, affects enzymatic activity, and communicates with NO (<xref ref-type="bibr" rid="B234">Paul and Snyder, 2012</xref>; <xref ref-type="bibr" rid="B176">Lisjak et al., 2013</xref>). The NO formed by the phytohormone will serve as a crosstalk intermediary between the two signaling pathways. This signal attenuation is comprehensive, since even ROS derived from NADPH oxidase activity in the plasma membrane are vital to trigger ABA signaling (<xref ref-type="bibr" rid="B156">Kwak et al., 2003</xref>).</p>
<p>Reactive oxygen species aggregation throughout stress conditions often depends on the capabilities of ROS recycling through the scavenging system. The buildup of different reactive oxygen forms gradually contributes to the adaptability to stress factors and culminates in apoptosis. SA administered through the root system resulted in a raised H<sub>2</sub>O<sub>2</sub> concentration in young leaf and root tissue which caused plant death (<xref ref-type="bibr" rid="B91">G&#x00E9;mes et al., 2011</xref>). <xref ref-type="bibr" rid="B306">Szepesi et al. (2009)</xref> observed that even under salinity, plants pre-treated with SA contained even more Na<sup>+</sup> than controls. The leaves did not exhibit any signs of salt damage, and rather, their photo- and membrane-integrity remained intact. As intracellular ROS is hugely involved in salt responses and active oxygen radical production within the cell is sometimes correlated with abiotic stress, it was of concern whether intracellular ROS and NO could make a significant contribution to the loss of vitality of distressed leaf protoplasts.</p>
<p>Reactive oxygen species-activated calcium-permeable channels including &#x201C;respiratory burst oxidase homolog&#x201D; (Rboh) are being hypothesized to entail an optimistic feedback loop that activates calcium ion and active radical signals in root cells (<xref ref-type="bibr" rid="B307">Takeda et al., 2008</xref>). RbohC/RHD2 has an affect on the production of ROS and controls Arabidopsis root hair elongation in a Ca<sup>2+</sup>-dependent fashion (<xref ref-type="bibr" rid="B307">Takeda et al., 2008</xref>; <xref ref-type="bibr" rid="B209">Monshausen et al., 2009</xref>). Salinity-induced (Ca<sup>2+</sup>) cyt is enhanced through hyperpolarization- and depolarization-activated PM Ca<sup>2+</sup>-permeable channels (<xref ref-type="bibr" rid="B312">Tracy et al., 2008</xref>). Salinity-induced escalation of cytosolic Ca<sup>2+</sup> entry plays an important role in ROS signaling and saline tolerance (<xref ref-type="bibr" rid="B278">Shabala and Newman, 2000</xref>; <xref ref-type="bibr" rid="B137">Kader and Lindberg, 2010</xref>). Polyamines induced by salinity can produce oxygen-derived free radicals as substrates for apoplastic ROS enzymes (<xref ref-type="bibr" rid="B140">K&#x00E4;rk&#x00F6;nen and Kuchitsu, 2015</xref>). Both OH and polyamines may significantly change the cationic and anionic conducting pathways and affect Ca<sup>2+</sup> signaling in plants (<xref ref-type="bibr" rid="B247">Pottosin et al., 2014</xref>). It can unwrap a novel feature of ROS development during salinity adaptation and/or the acclimation process. A notable research paper demonstrates that perhaps the recruitment of Ca<sup>2+</sup>/CaM-like proteins (CDPKs) are far more pronounced in halophytes compared to glycophytes which experiences salt stress (<xref ref-type="bibr" rid="B340">Xu P. et al., 2013</xref>). Such calcium-binding proteins can play a pivotal role as critical amplifiers of initial calcium influx under salt stress. Ca<sup>2+</sup> signaling is also very important in seawater stress&#x2019;s impact on signaling mechanisms. It is suggested that TPC1 is engaged in the dissemination of salt stress cues and seems also to participate in the plant defense response (<xref ref-type="bibr" rid="B46">Choi et al., 2014</xref>). Inflammation triggered by Ca<sup>2+</sup>-ROS pulses concerning TPC1 can be one of the plant stresses tolerating mechanisms (<xref ref-type="bibr" rid="B46">Choi et al., 2014</xref>; <xref ref-type="bibr" rid="B94">Gilroy et al., 2014</xref>). Furthermore, NO has been demonstrated to have potent antioxidant activity; preventing and minimizing lipid peroxidation and protein oxidation (<xref ref-type="bibr" rid="B77">Fancy et al., 2017</xref>). Saline conditions enhance NO output that minimizes salinity-induced damages (<xref ref-type="bibr" rid="B80">Fatma et al., 2016</xref>; <xref ref-type="bibr" rid="B55">Da Silva et al., 2017</xref>). At about the same time, numerous sources claim a preventive action for NO in salt-stress tolerance due to upregulating antioxidant activity in various native plants (<xref ref-type="bibr" rid="B360">Zheng et al., 2009</xref>; <xref ref-type="bibr" rid="B284">Sheokand et al., 2010</xref>).</p>
</sec>
<sec id="S3.SS6">
<title>Plant Growth Regulators Crosstalk</title>
<p>The productivity of agricultural crops has continuously and adversely been affected by soil salinity. A plant&#x2019;s ability to tolerate salinity stress can be augmented by application of signaling molecules such as H<sub>2</sub>S, NO, and H<sub>2</sub>O<sub>2</sub>. For example, exogenous application of NO decreases the accumulation of Na<sup>+</sup> and stabilizes the concentration of mineral nutrients, and thereby results in a balanced photosynthetic rate and re-establishment of vegetative growth in lettuce (<italic>Lactuca sativa</italic>). Osmotic regulation, activation of the antioxidant system, and balanced phytohormones help to increase plant tolerance against salinity stress (<xref ref-type="bibr" rid="B33">Campos et al., 2019</xref>). Salinity stress adversely affects plant growth through upregulation of proline, MDA, and ABA content while downregulating K<sup>+</sup>/Na<sup>+</sup> ratio and electrolyte leakage. Exogenous application of sodium nitroprusside (SNP) and 24-epibrassinolide (EBL) in combined form increases the endogenous level of ABA in Indian mustard (<italic>Brassica juncea</italic> var, Varuna) through proline, nitrogen, and ABA metabolism (<xref ref-type="bibr" rid="B103">Gupta et al., 2017</xref>). Soil salinity has a detrimental effect on agricultural crops through water deficiency and modified K<sup>+</sup>/Na<sup>+</sup>. This process leads to altered cellular redox pathways by producing reactive oxygen species such as H<sub>2</sub>O<sub>2</sub>, superoxide (O<sub>2</sub><sup>&#x2013;</sup>), and hydroxyl radicles (<sup>&#x2022;</sup>OH). These free radicals pose a severe toxic impact on a molecular, biochemical, physiological, and cellular level via the lipid peroxidation pathway and lead to protein and nucleic acid destruction, and thereby negatively affect several vital pathways such as gaseous exchange, plant growth and development, and proline and nitrogen metabolism (<xref ref-type="bibr" rid="B288">Siddiqui et al., 2012</xref>; <xref ref-type="bibr" rid="B103">Gupta et al., 2017</xref>). The crosstalk of PGRs with other signaling compounds under salinity stress tolerance are illustrated in <xref ref-type="table" rid="T2">Table 2</xref>. NO metabolism regulates several biochemical pathways of ABA homeostasis in plants such as seed germination, dormancy, leaf senescence, stomatal movement, and fruit ripening in normal and stress conditions. The signaling molecule NO induces post translational modifications such as tyrosine nitration and sulfur-nitrosylation of proteins which regulate ABA signaling pathways. NO modulates antioxidant systems such as SODs and the catalase and ascorbate GSH cycle, and also affect ABA-induced reactive oxygen species production (<xref ref-type="bibr" rid="B249">Prakash et al., 2019</xref>). Phytohormones play a critical role in plants to adapt them to an unfavorable environment such as salinity via modulating physiological responses. Both phytohormone-ethylene and GAs play crucial roles to mitigate salinity stress by activating defense regulatory genes or increasing plant growth. However, both ethylene and GA are interconnected with each other; GA is well known to increase ethylene synthesis while its signaling is also dependent on ethylene (<xref ref-type="bibr" rid="B123">Iqbal et al., 2012</xref>). Transcript-based meta-analysis studies have illustrated that both ethylene and GA metabolism-related genes are expressed in plants under salinity stress. The precursor ACC may be synthesized unanimously for ethylene and GA synthesis. Exogenous application of ethephon and GA<sub>3</sub> reduces the adverse effect of salinity on seed germination of <italic>Amaranthus caudatus</italic> (<xref ref-type="bibr" rid="B27">Bialecka and Kepczynski, 2009</xref>). Ethephon showed a more stimulatory effect on seed germination than GA<sub>3</sub> under soil salinity. <xref ref-type="bibr" rid="B82">Foo et al. (2006)</xref> studied the interaction effect of ethylene and GA synthesis in pea and revealed that ethylene synthesis was negatively controlled by phytohormones and also tended to reduce GA production. Similarly, ethylene and GA have a positive effect on hypocotyl elongation in Arabidopsis (<xref ref-type="bibr" rid="B58">De Grauwe et al., 2007</xref>). It has been reported that GA alone is ineffective but acts synergistically with ethylene and promotes the number of penetrating roots and growth rate of emerged roots (<xref ref-type="bibr" rid="B296">Steffens et al., 2006</xref>). Their effect is not additive in nature, but both are synergistic with each other.</p>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>The crosstalk of plant growth regulators with crucial signaling compounds under salinity stress and their salt tolerance mechanism in different crops.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Crosstalk</td>
<td valign="top" align="left">Crop</td>
<td valign="top" align="left">Tolerance mechanisms</td>
<td valign="top" align="left">References</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">NO-Melatonin</td>
<td valign="top" align="left"><italic>Brassica napus</italic> L. zhongshuang 11</td>
<td valign="top" align="left">Promotes seedlings root growth, maintains redox balance, lowers the Na<sup>+</sup>/K<sup>+</sup> ratio, and modulates the antioxidant defense genes, <italic>NHX1</italic>, and (<italic>SOS2</italic>) transcripts</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B356">Zhao et al. (2018)</xref></td>
</tr>
<tr>
<td valign="top" align="left">NO-Salicylic acid (SA)</td>
<td valign="top" align="left"><italic>P. sativum</italic> L. (var. Shubhra IM-9101)</td>
<td valign="top" align="left">Improves seedlings radicle length, reduces oxidative stress by decreasing superoxide radicles and H<sub>2</sub>O<sub>2</sub>, induces the isoform transcript of SOD, POX, APX, and enhances osmolytes accumulation</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B344">Yadu et al. (2017)</xref></td>
</tr>
<tr>
<td valign="top" align="left">NO-SA</td>
<td valign="top" align="left"><italic>Capsicum annuum</italic> L.</td>
<td valign="top" align="left">Regulates the enzymes of AsA-GSH cycle enzymes, lowers the Na<sup>+</sup>/K<sup>+</sup> ratio and electrolyte leakage, reduces H<sub>2</sub>O<sub>2</sub>, MDA, and proline contents</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B143">Kaya et al. (2020)</xref></td>
</tr>
<tr>
<td valign="top" align="left">SA-H<sub>2</sub>O<sub>2</sub>-Ca</td>
<td valign="top" align="left">vena nuda cv. North China No. 1</td>
<td valign="top" align="left">Improves shoot and root dry weight, improves SOD, CAT, GSH, and ascorbic acid, and reduces MDA contents</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B341">Xu et al. (2008)</xref></td>
</tr>
<tr>
<td valign="top" align="left">24-Epibrassinolide-SNP</td>
<td valign="top" align="left"><italic>Brassica juncea</italic> L. cv. Varuna</td>
<td valign="top" align="left">Improves length and biomass of root and shoot, enhances leaf area, chlorophyll, and carotenoid contents, 51% decline in electrolyte leakage and 37% in lipid peroxidation, improves stomatal opening by enhancing length and width of stomatal aperture, maintains ion homeostasis, and lowers ABA content</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B103">Gupta et al. (2017)</xref></td>
</tr>
<tr>
<td valign="top" align="left">SA-ROS-NO</td>
<td valign="top" align="left"><italic>Solanum lycopersicum</italic> cv. Rio Fuego</td>
<td valign="top" align="left">Reduces the production of ROS, improves cell viability, and readjusts polyamines</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B91">G&#x00E9;mes et al. (2011)</xref></td>
</tr>
<tr>
<td valign="top" align="left">NO-Phytohormones</td>
<td valign="top" align="left"><italic>Lactuca sativa</italic></td>
<td valign="top" align="left">Decreases Na+ accumulation, stabilizes mineral nutrient concentration, improves photosynthesis rate, activates the antioxidant system, adjusts osmotic and hormone balance</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B33">Campos et al. (2019)</xref></td>
</tr>
<tr>
<td valign="top" align="left">ABA-JA</td>
<td valign="top" align="left"><italic>Nicotiana tabacum</italic> NC89</td>
<td valign="top" align="left">Improves photosynthetic efficiency, reduces photo damage, induces stomatal closure, and improves antioxidant defense genes</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B346">Yang et al. (2018)</xref></td>
</tr>
<tr>
<td valign="top" align="left">Melatonin-Ca</td>
<td valign="top" align="left"><italic>Dracocephalum kotschyi</italic> Boiss.</td>
<td valign="top" align="left">Improves relative water, proline contents, and ion homeostasis, enhances antioxidant enzymes activities, and induce systematic salt tolerance via influencing other signaling compounds</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B318">Vafadar et al. (2020c)</xref></td>
</tr>
<tr>
<td valign="top" align="left">Ethylene-H<sub>2</sub>O<sub>2</sub></td>
<td valign="top" align="left"><italic>Solanum lycopersicum</italic> cv. Yuanbao</td>
<td valign="top" align="left">Improves seedling biomass, chlorophyll content, and photosynthetic rate, enhances brassinosteroids synthesis, and reduces oxidative damage by enhancing antioxidant enzymes</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B362">Zhu et al. (2016)</xref></td>
</tr>
</tbody>
</table></table-wrap>
<p>Seed germination is affected by both ethylene and NO under salinity in plants. Exogenous application of ACC (a precursor of ethylene biosynthesis) or SNP (an NO donor) inhibits the negative impact of salinity on seed germination of Arabidopsis (<xref ref-type="bibr" rid="B175">Lin et al., 2013</xref>). However, the stimulatory effect of both ACC and SNP was reduced by the inhibitor of ethylene biosynthesis, i.e., aminoisobutyric acid (AIB) or NO scavenger compound, i.e., 2-phenyl-4,4,5,5-tetramethyl-imidazoline-1-oxyl-3-oxide (cPTIO) and indicated the interaction effect of both NO and ethylene on seed germination under salinity. Moreover, NO production was increased by ACC and overexpression of the <italic>ACS2</italic> gene was noticed by SNP which is directly involved in ethylene biosynthesis. Thus, this indicates the importance of both in their production under salinity stress. Interestingly, exogenous application of ACC increased seed germination under oxidative stress induced by H<sub>2</sub>O<sub>2</sub>. However, NO-treated wild-type Arabidopsis plants were less affected and no effect was observed on ethylene-insensitive mutant seeds.</p>
</sec>
</sec>
<sec id="S4">
<title>Omics Technology in Salinity Stress Tolerance</title>
<p>The major influences on plant growth limitation in salt-affected soil are due to osmotic stress and ion toxicity (<xref ref-type="bibr" rid="B217">Munns and Tester, 2008</xref>; <xref ref-type="bibr" rid="B22">Bargaz et al., 2016</xref>). Plants adapt distinct strategies (molecular, biochemical, and physiological adjustments) to modulate metabolic pathways and at the same time, to combat cellular salt levels via regulating water and ion homeostasis. In this regard, the modern integrative &#x201C;omics&#x201D; approach in plant biology has taken momentum over the last two decades in the research area powered by advances in platforms for nucleic acid sequence, peptide sequencing platforms, mass spectrometry (MS), efficient computational skills, and data analysis methodologies. This integrated &#x201C;omics&#x201D; system offers a snapshot of cells, tissues or organisms&#x2019; developments, functions, and relationships by characterizing and quantifying all their biomolecules using a high-performance approach (<xref ref-type="bibr" rid="B295">Soda et al., 2015</xref>; <xref ref-type="bibr" rid="B211">Mosa et al., 2017</xref>; <xref ref-type="bibr" rid="B230">Parida et al., 2018</xref>). In recent years, omics technologies have shown promising results and been tested in numerous crops, which are highlighted in <xref ref-type="table" rid="T3">Table 3</xref>. Among them the application of some omics approaches under salinity stress tolerance are represented in <xref ref-type="fig" rid="F3">Figure 3</xref> and discussed below.</p>
<table-wrap position="float" id="T3">
<label>TABLE 3</label>
<caption><p>The crucial genomics, transcriptomics, metabolomics, and proteomics approaches used in different crops.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Omics approach</td>
<td valign="top" align="left">Crop</td>
<td valign="top" align="left">Technology</td>
<td valign="top" align="left">References</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Genomics</td>
<td valign="top" align="left">Arabidopsis</td>
<td valign="top" align="left">BAC (bacterial artificial chromosome) by BAC</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B141">Kaul et al. (2000)</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Rice</td>
<td valign="top" align="left">Whole-genome sequencing analysis Genome-wide meta-analysis</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B299">Subudhi et al. (2020)</xref>, <xref ref-type="bibr" rid="B192">Mansuri et al. (2020)</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Barley</td>
<td valign="top" align="left">BAC by BAC Hierarchical shotgun sequencing Roche/454 pyrosequencing Genome-wide association study</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B274">Schulte et al. (2009)</xref>, <xref ref-type="bibr" rid="B330">Wicker et al. (2009)</xref>, <xref ref-type="bibr" rid="B218">Mwando et al. (2020)</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Maize</td>
<td valign="top" align="left">BAC by BAC</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B239">Pennisi (2008)</xref>, <xref ref-type="bibr" rid="B273">Schnable et al. (2009)</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Poplar</td>
<td valign="top" align="left">Whole-genome shotgun sequencing (WGS)</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B314">Tuskan et al. (2006)</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Grape</td>
<td valign="top" align="left">WGS</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B126">Jaillon et al. (2007)</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Papaya</td>
<td valign="top" align="left">WGS</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B199">Ming et al. (2008)</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Sorghum</td>
<td valign="top" align="left">WGS</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B232">Paterson et al. (2009)</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Soybean</td>
<td valign="top" align="left">WGS</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B272">Schmutz et al. (2010)</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Apple</td>
<td valign="top" align="left">Genome-wide duplication (GWD)</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B321">Velasco et al. (2010)</xref>.</td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Potato</td>
<td valign="top" align="left">WGS</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B245">Potato Genome Sequencing Consortium (2011)</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Mango</td>
<td valign="top" align="left">PAC biosequencing</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B290">Singh et al. (2014)</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Peach</td>
<td valign="top" align="left">WGS</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B8">Ahmad et al. (2011)</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Banana</td>
<td valign="top" align="left">WGS</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B64">D&#x2019;Hont et al., 2012</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Tomato</td>
<td valign="top" align="left">WGS</td>
<td valign="top" align="left"><ext-link ext-link-type="uri" xlink:href="https://www.wur.nl/en/show/Sequencing-of-the-tomato-genome.htm">https://www.wur.nl/en/show/Sequencing-of-the-tomato-genome.htm</ext-link></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Cucumber</td>
<td valign="top" align="left">WGS</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B119">Huang et al. (2009)</xref>.</td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Wild strawberries</td>
<td valign="top" align="left">Roche/454, Illumina/Solexa and Life Technologies/SOLiD platforms, next-generation sequencing (NGS)</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B287">Shulaev et al. (2011)</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Musk melon</td>
<td valign="top" align="left">NGS</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B86">Garcia-Mas et al. (2012)</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Watermelon</td>
<td valign="top" align="left">NGS</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B86">Garcia-Mas et al. (2012)</xref></td>
</tr>
<tr>
<td valign="top" align="left">Transcriptomics</td>
<td valign="top" align="left">Rice</td>
<td valign="top" align="left">Micro array SAGE (serial analysis of gene expression)</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B168">Li et al. (2006)</xref>, <xref ref-type="bibr" rid="B195">Matsumura et al. (1999)</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Wheat</td>
<td valign="top" align="left">DNA array</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B131">Jauregui et al. (2015)</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Maize</td>
<td valign="top" align="left">RNA sequencing</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B358">Zhao et al. (2019)</xref>.</td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Barley</td>
<td valign="top" align="left">RT-PCR (real time polymerase chain reaction)</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B304">Svensson et al. (2006)</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Arabidopsis</td>
<td valign="top" align="left">SAGE</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B74">Ekman et al. (2003)</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Cassava</td>
<td valign="top" align="left">ESTs (expression sequence tags)</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B298">Suarez et al. (2000)</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Peas</td>
<td valign="top" align="left">RNA display analysis</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B160">Lapopin et al. (1999)</xref></td>
</tr>
<tr>
<td valign="top" align="left">Proteomics</td>
<td valign="top" align="left">Rice</td>
<td valign="top" align="left">2D-GE (2-dimension gel electrophoresis) Isobaric Tags for Relative and Absolute Quantitation (iTRAQ)</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B363">Zi et al. (2012)</xref>, <xref ref-type="bibr" rid="B338">Xu et al. (2017)</xref>, and <xref ref-type="bibr" rid="B157">Lakra et al. (2019)</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Maize</td>
<td valign="top" align="left">2D-GE iTRAQ</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B10">Amara et al. (2012)</xref>, <xref ref-type="bibr" rid="B185">Luo et al. (2018)</xref>, and <xref ref-type="bibr" rid="B38">Chen et al. (2019)</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Wheat</td>
<td valign="top" align="left">2D-PAGE (<italic>Polyacrylamide gel electrophoresis)</italic> MS/MS (mass spectrometry)</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B11">Amiour et al. (2002)</xref>, <xref ref-type="bibr" rid="B291">Singh et al. (2017)</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Barley</td>
<td valign="top" align="justify"/>
<td valign="top" align="left"><xref ref-type="bibr" rid="B300">S&#x00FC;le et al. (2004)</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Soyabean</td>
<td valign="top" align="left">Mass spectrometry</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B85">Galant et al. (2012)</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Tomato</td>
<td valign="top" align="left">2D-PAGE</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B4">Afroz et al. (2009)</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Sugar beet</td>
<td valign="top" align="left">Liquid chromatography-tandem mass spectrometry (LC-MS/MS)</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B105">Hajheidari et al. (2005)</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Grape berry</td>
<td valign="top" align="left">2D-PAGE</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B65">Di Carli et al. (2011)</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Peanut</td>
<td valign="top" align="left">LC-Q-TOF (MS/MS)</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B35">Chassaigne et al. (2007)</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Apple</td>
<td valign="top" align="left">2D electrophoresis and IgE-reactivity. <italic>Electrophoresis</italic></td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B112">Herndl et al. (2007)</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Pear</td>
<td valign="top" align="justify"/>
<td valign="top" align="left"><xref ref-type="bibr" rid="B235">Pedreschi et al. (2008)</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Peach</td>
<td valign="top" align="justify"/>
<td valign="top" align="left"><xref ref-type="bibr" rid="B351">Zhang L. et al. (2011)</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Populus</td>
<td valign="top" align="left">Shotgun MS/MS profiling</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B139">Kalluri et al. (2009)</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Stone fruit</td>
<td valign="top" align="left">2D PAGE</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B2">Abdi et al. (2002)</xref></td>
</tr>
<tr>
<td valign="top" align="left">Metabolomics</td>
<td valign="top" align="left">Rice</td>
<td valign="top" align="left">GC-MS, NMR (nuclear magnetic resonance)</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B90">Gayen et al. (2019)</xref>, <xref ref-type="bibr" rid="B187">Ma et al. (2018)</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Maize</td>
<td valign="top" align="left">HNMR, GC-MS</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B89">Gavaghan et al. (2011)</xref>, <xref ref-type="bibr" rid="B364">Z&#x00F6;rb et al. (2013)</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Wheat</td>
<td valign="top" align="left">GC-MS, HPLC, GC-TOF/MS</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B100">Guo R. et al. (2015)</xref>, <xref ref-type="bibr" rid="B28">Borrelli et al. (2018)</xref>, and <xref ref-type="bibr" rid="B43">Che-Othman et al. (2019)</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Barley</td>
<td valign="top" align="left">TIC (total ion chromatogram)</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B281">Shelden et al. (2016)</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Arabidopsis</td>
<td valign="top" align="left">RHPLC (high performance liquid chromatography)</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B16">Arrivault et al. (2009)</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Tobacco</td>
<td valign="top" align="left">NMR</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B349">Zhang J. et al. (2011)</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Tomato</td>
<td valign="top" align="left">UHPLC-ESI/QTOF-MS</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B262">Rouphael et al. (2018)</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Nitraria</td>
<td valign="top" align="left">GC-TOF/MS</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B224">Ni et al. (2015)</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left">Lotus</td>
<td valign="top" align="left">GC-TOF/MS (gas chromatography- time-of-flight mass spectrometry)</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B267">Sanchez et al. (2011)</xref></td>
</tr>
<tr>
<td valign="top" align="left">Ionomics</td>
<td valign="top" align="left">Alfalfa Halophytes Lotus Barley</td>
<td valign="top" align="left">High-throughput sequencing, element-specific profiling, mass spectrometry, deletion mapping, X-ray fluorescence, neutron activation analysis, DNA microarray, and bulk segregant analysis</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B24">Baxter (2009)</xref>, <xref ref-type="bibr" rid="B25">Becker and Becker (2010)</xref>, <xref ref-type="bibr" rid="B267">Sanchez et al. (2011)</xref>, <xref ref-type="bibr" rid="B333">Wu et al. (2013)</xref>, <xref ref-type="bibr" rid="B120">Huang and Salt (2016)</xref>, and <xref ref-type="bibr" rid="B17">Arshad et al. (2017)</xref></td>
</tr>
<tr>
<td valign="top" align="left">Phenomics</td>
<td valign="top" align="left">Rice</td>
<td valign="top" align="left">PHENOPSIS WIWAM</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B97">Granier et al. (2006)</xref>, <xref ref-type="bibr" rid="B121">Humpl&#x00ED;k et al. (2015)</xref>, and <xref ref-type="bibr" rid="B198">Meng et al. (2017)</xref></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="justify"/>
<td valign="top" align="justify"/>
<td valign="top" align="justify"/>
</tr>
</tbody>
</table></table-wrap>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p>The application of different omics approaches in salinity stress tolerance.</p></caption>
<graphic xlink:href="fpls-12-670369-g003.tif"/>
</fig>
<sec id="S4.SS1">
<title>Genomics</title>
<p>It is very crucial to understand the plant genomic response toward environmental stress. Plants are acutely complex and consist of a large number of genes in the reaction to salinity. It has been difficult to absolutely understand how plants react to salinity because of their multi-genetic nature. Genomics has made considerable strides over the past decade and has played a critical role in delivering the information needed to promote crop production. Genomics is a branch of &#x201C;omics&#x201D; that studies a certain genome and discloses useful knowledge on the organism&#x2019;s biology (<xref ref-type="bibr" rid="B93">Gilliham et al., 2017</xref>). By genomics, the genes involved in salinity stress response have been identified and characterized; signaling pathways have been mapped and certainly this information can be used for salinity tolerance of existing plants. It is significant to mention that genomics as a tool primarily improves and does not replace current technologies. Several high-throughput approaches, such as forward genetics, candidate gene approach, serial analysis of gene expression (SAGE), expression sequence tag (EST), next generation sequencing (NGS), high resolution melting (HRM), targeting-induced local lesion in genomes (TILLING), RNA interference (RNAi), and genome wide association study (GWAS), etc. have enabled us to not only understand salinity tolerance in plants but have also opened the path for developing plants under salinity stress. Using forward genetics, fundamental genes (<italic>SOS1</italic>, <italic>SOS2</italic>, <italic>SOS3</italic>) of the salt tolerance pathway have been identified (<xref ref-type="bibr" rid="B361">Zhu et al., 1998</xref>) and this knowledge of candidate gene approach has been pursued to efficiently identify the SOS gene orthologs in rice (<xref ref-type="bibr" rid="B194">Mart&#x00ED;nez-Atienza et al., 2007</xref>), Poplar (<xref ref-type="bibr" rid="B308">Tang et al., 2010</xref>), and tomato (<xref ref-type="bibr" rid="B226">Ol&#x00ED;as et al., 2009</xref>). Eleven single nucleotide polymorphisms (SNPs) were identified in the coding region of five salt-tolerant rice genotypes by exploring the advance method of TILLING, i.e., Eco-TILLING (<xref ref-type="bibr" rid="B220">Negr&#x00E3;o et al., 2013</xref>). Because of its ability to boost the resolution of quantitative trait loci (QTL) detection without spending additional efforts in population development, GWAS receives greater attention. Recently, three novel QTLs were identified on chromosomes 4, 6, and 7, which are associated with salt tolerance in rice, through the use of molecular breeding approach GWAS (<xref ref-type="bibr" rid="B153">Kumar et al., 2015</xref>). Salinity tolerance may also be correlated with six genomic regions in soybean confirmed through SoySNP50K BeadChip iSelect (<xref ref-type="bibr" rid="B118">Huang et al., 2018</xref>). Consequently, nine SNP-rich regions were identified in 215 accessions of Asian cotton using the same GWAS approach as those related to plant parameters in salt stress conditions (<xref ref-type="bibr" rid="B66">Dilnur et al., 2019</xref>).</p>
<p>The use of RNAi technology in salt tolerances shows the positive control of tocopherol cyclase (<xref ref-type="bibr" rid="B227">Ouyang et al., 2011</xref>). New technologies of genomics like zinc finger nuclease (ZFN), transcription activator-like effector nucleases (TALENs), CRISPR-Cas9 (<xref ref-type="bibr" rid="B240">Pennisi, 2013</xref>), and Speed Breeding (<xref ref-type="bibr" rid="B166">Li et al., 2018</xref>) provides the opportunity to generate precisely engineered crops for salinity tolerance. The latest study of genotyping-by-sequencing in cowpea has been used to discover the effects of salinity tolerance on seed germination and seedling growth (<xref ref-type="bibr" rid="B259">Ravelombola et al., 2018</xref>). Nine haplotypes, two salt-tolerant and seven salt-sensitive, were addressed by a new genome sequencing experiment of 31 landraces and 22 wild soybeans (<xref ref-type="bibr" rid="B98">Guan et al., 2014</xref>).</p>
</sec>
<sec id="S4.SS2">
<title>Transcriptomics</title>
<p>Soil salinization is recognized as a major problem for agricultural production and sustainability at a global level. The mechanisms of salinity tolerance are well known to be complicated and governed by polygenic traits (<xref ref-type="bibr" rid="B217">Munns and Tester, 2008</xref>). Therefore, improvements in understanding other &#x201C;omics&#x201D; beyond genomics have helped assign functional roles to candidate gene(s)/QTL(s) that relate to multiple abiotic stresses including salinity stress in crop plants (<xref ref-type="bibr" rid="B265">Salt et al., 2008</xref>). Another branch of &#x201C;omics&#x201D; technology is transcriptomics which deals with the RNA expression profile of organisms at temporal and spatial bases (<xref ref-type="bibr" rid="B73">Duque et al., 2013</xref>; <xref ref-type="bibr" rid="B75">El-Metwally et al., 2014</xref>; <xref ref-type="bibr" rid="B283">Shen et al., 2019</xref>). Unlike genomics, the transcriptome is highly complex and dynamic, and changes depending on diverse factors (<xref ref-type="bibr" rid="B75">El-Metwally et al., 2014</xref>). Recent shifting of RNA sequencing (RNA-seq) high-performance technology from the microarray accelerated the response of the candidate gene to stress (<xref ref-type="bibr" rid="B181">Liu et al., 2014</xref>; <xref ref-type="bibr" rid="B323">Vu et al., 2015</xref>; <xref ref-type="bibr" rid="B49">Conesa et al., 2016</xref>). The recently developed transcriptomics measure the abundance of transcripts of thousands of genes in parallel. RNA profiling is currently being carried out by means of RNA sequencing, microarray platforms, digital gene expression profiling, and SAGE (<xref ref-type="bibr" rid="B208">Molina et al., 2011</xref>; <xref ref-type="bibr" rid="B255">Raney, 2012</xref>; <xref ref-type="bibr" rid="B73">Duque et al., 2013</xref>; <xref ref-type="bibr" rid="B342">Xu Y. et al., 2013</xref>; <xref ref-type="bibr" rid="B163">Leisner et al., 2017</xref>; <xref ref-type="bibr" rid="B169">Li P. et al., 2017</xref>; <xref ref-type="bibr" rid="B151">Kreszies et al., 2019</xref>). This technology improves the ability, in salt stress, to identify transcripts/genes that are essential in controlling transcription and translation machinery (<xref ref-type="bibr" rid="B264">Sahi et al., 2006</xref>; <xref ref-type="bibr" rid="B129">Jamil et al., 2011</xref>).</p>
<p>To understand the transcriptomic changes during salt stress, RNA sequencing (RNA-Seq) has become the most used method for identification of novel genes and their expression pathways (<xref ref-type="bibr" rid="B115">Hrdlickova et al., 2017</xref>). Transcriptome profiling has been extensively and successfully used to analyze salt stress response mechanisms of plants. It is an effective method to find common sets of genes that are differentially expressed between stress-tolerant and sensitive genotypes with diverse genetic backgrounds <underline>(</underline><xref ref-type="bibr" rid="B237">Peng et al., 2014</xref><underline>)</underline>. Comparing the difference in transcriptional levels between tolerant and sensitive genotypes under stress conditions, the genes related to stress tolerance can be isolated. A transcriptomics study also revealed different up- and downregulated transcriptional factors such as MYB, MYB-related, AP2-EREBP, NAC, and WRKY (<xref ref-type="bibr" rid="B39">Chen F. et al., 2020</xref>). This transcriptional profiling study gives a better insight into the understanding of the key components in the plant salt tolerance network which is important for developing more salt-tolerant plants. NGS and SAGE techniques were employed together by <xref ref-type="bibr" rid="B207">Molina et al. (2008</xref>, <xref ref-type="bibr" rid="B208">2011)</xref> to classify the entire chickpea salt transcriptome. Likewise, for <italic>Arabidopsis thaliana</italic> responses to salt stress, <xref ref-type="bibr" rid="B258">Rasmussen et al. (2013)</xref> used large-scale microarray analysis. The comprehensive genome-wide study of common beans was used to recover a total of 155 bHLH (helix loop helix) genes related to salt stress response (<xref ref-type="bibr" rid="B142">Kavas et al., 2016</xref>). A research was performed with Solexa/Illumina to investigate the transcriptome expression profiles for Poplar (<italic>Populus simonii</italic> X <italic>Populus nigra</italic>) under salinity stress (<xref ref-type="bibr" rid="B42">Chen et al., 2012</xref>). Similarly, differential expression levels were checked in salinity stress for WRKY-TF genes (<xref ref-type="bibr" rid="B87">Garg and Singla, 2016</xref>). Most currently, miR156 working in reaction to salinity stress in alfalfa was shown by <xref ref-type="bibr" rid="B17">Arshad et al. (2017)</xref>.</p>
</sec>
<sec id="S4.SS3">
<title>Proteomics</title>
<p>Salt stress is predicted to cause salinization of arable lands within the next 25 years, which may result in 30% land loss and up to 50% by the year 2050. Salinity stress causes different genes to be expressed and the result is reflected in the protein profiles. It could thus be essential to collect whole proteins created by various abiotic stresses, including salt stress, to enhance our knowledge of protein networks associated with salt-interacting pathways (<xref ref-type="bibr" rid="B134">Ji et al., 2016</xref>). Recently developed &#x201C;omics&#x201D; technologies are being designed in plant sciences to determine key proteins or metabolites that are novel, covering metabolomics, proteomics, and genomics responsible for plants stress tolerance and also biomolecules that regulate the genes. These omics studies give us a better insight into the agents affecting plant growth and development. Proteomics deals unshakably with the identification of proteins, expression profile, post-translational modifications (PTMs), and protein&#x2013;protein interactions underneath stress and non-stress conditions. Proteomics studies offer a new replacement approach to obtain proteins and pathways related to crop physiological and stress responses. Thus, determining plants at proteomic levels might facilitate the finding of pathways concerned in stress tolerance.</p>
<p>Plant responses to salt stress through the proteomics approach have been studied in both glycophytes and halophytes. Plant scientists have worked with model plants under saline stress at proteomic levels, <xref ref-type="bibr" rid="B260">Razavizadeh et al. (2009)</xref> in <italic>Nicotiana tabacum</italic>, <xref ref-type="bibr" rid="B42">Chen et al. (2012)</xref> in <italic>Populus cathayana</italic>, <xref ref-type="bibr" rid="B36">Chattopadhyay et al. (2011)</xref> in grass pea, and <xref ref-type="bibr" rid="B337">Xu C. et al. (2011)</xref> in <italic>Agrostis stolonifera</italic>. Moreover, agricultural plants have also been examined under saline stress in different analyses, e.g., durum wheat (<xref ref-type="bibr" rid="B238">Peng et al., 2009</xref>; <xref ref-type="bibr" rid="B125">Jacoby et al., 2010</xref>), canola (<xref ref-type="bibr" rid="B21">Bandehagh et al., 2011</xref>), sugarbeet (<xref ref-type="bibr" rid="B325">Wakeel et al., 2011</xref>), soybean (<xref ref-type="bibr" rid="B294">Sobhanian et al., 2010</xref>), peanut (<xref ref-type="bibr" rid="B127">Jain et al., 2006</xref>), S. bicolor (<xref ref-type="bibr" rid="B305">Swami et al., 2011</xref>; <xref ref-type="bibr" rid="B223">Ngara et al., 2012</xref>), maize (<xref ref-type="bibr" rid="B365">Z&#x00F6;rb et al., 2010</xref>), tomato (<xref ref-type="bibr" rid="B40">Chen et al., 2009</xref>; <xref ref-type="bibr" rid="B191">Manaa et al., 2011</xref>), potato (<xref ref-type="bibr" rid="B6">Aghaei et al., 2008</xref>), and cucumber (<xref ref-type="bibr" rid="B72">Du et al., 2010</xref>), etc.</p>
<p>Plant roots exhibit the foremost negative symptoms of salt stress because the few genes that are responsive to salinity stress are induced more in roots than in shoots as evident from the findings of different workers in soybean, rice, wheat, maize, and potato (<xref ref-type="bibr" rid="B109">Hasanuzzaman et al., 2013</xref>). A proteomics study in soybean was carried out under salt stress with the use of different tissues. They recognized that 50S ribosome protein was downregulated in leaves and that it was thought to participate in the biosynthesis of soybean protein and cause a decrease in plant growth. A phosphoproteome study of the roots of rice on exposure to NaCl (150 mM) for a few hours by using Pro-Q Diamond stain revealed that 20 proteins were upregulated and 18 downregulated. They positively identified 17 of the 20 upregulated proteins and 11 of the 18 downregulated ones. Proteins related to GST, Hsp70, and mannose binding rice lectin were upregulated, while protein kinase, ATP synthase beta-chain, GALP hydrogenase were downregulated. They believed that phosphorylated proteins could be identified using Pro-Q Diamond stain under saline conditions. Of all proteins, 17 overexpressed proteins were responsive to salinity, however, some other proteins identified did not express in any of the proteomic reports on rice on exposure to salinity (<xref ref-type="bibr" rid="B45">Chitteti and Peng, 2007</xref>).</p>
</sec>
<sec id="S4.SS4">
<title>Metabolomics</title>
<p>Higher plants have an excellent capacity to synthesize a broad variety of different molecules and play an important role in chemical defenses against biotic and abiotic stress. The synthesis and accumulation of all small molecule&#x2019;s metabolites (less than 1.5 kDa) is an evolved, conserved, and ubiquitous process that shows immense variety in chemical structure and function known as metabolome, analogous to transcriptome, and proteome. Metabolism is an effective plant physiology method that is closer to phenotype than genes and proteins in response to abiotic stresses and metabolites, quite accurately representing the overall effects of genetic expressions and complex regulatory procedures (<xref ref-type="bibr" rid="B271">Scherling et al., 2010</xref>; <xref ref-type="bibr" rid="B14">Arbona et al., 2013</xref>; <xref ref-type="bibr" rid="B254">Ramalingam et al., 2015</xref>). Metabolites include a number of organic acids, hormones, amino acids, ketones, vitamins, and steroids. In this regard, metabolomics (i.e., the study of the metabolome, or the set of metabolites found in a given plant tissue or organ) play an essential role in procuring metabolic fingerprints or metabolic profiles based on the physiochemical properties of each metabolite using different test instruments and separation technologies (<xref ref-type="bibr" rid="B136">Jogaiah et al., 2013</xref>).</p>
<p>Relative to proteome and transcriptomics, this method generates more reliable information (<xref ref-type="bibr" rid="B71">Dos Santos et al., 2017</xref>). The illustration of stress tolerance mechanisms and metabolite profiling in plants has been improved by progress in mass spectrometry liquid chromatography or gas chromatography (LC-MS and GC-MS), high performance liquid chromatography nuclear magnetic resonance (NMR), direct injection mass spectrometry (DIMS), and other metabolomics techniques (<xref ref-type="bibr" rid="B332">Wolfender et al., 2013</xref>; <xref ref-type="bibr" rid="B230">Parida et al., 2018</xref>). Different researchers have noticed that variations in metabolites involving carbohydrate metabolism, tri carboxylic and glycolytic acid, amino acid biosynthesis, and at other protective antioxidant levels under stress are easily analyzed using metabolomics (<xref ref-type="bibr" rid="B154">Kumari et al., 2015</xref>; <xref ref-type="bibr" rid="B135">Jiao et al., 2018</xref>). A study of <xref ref-type="bibr" rid="B183">Lu et al. (2013a)</xref> revealed that a comparative study between soybean wild-type W05 and cultivated soybean C08 indicated abundance at a metabolic level of several compounds in a wild form, such as disaccharides, sugar alcohols, and acetylated amino acids. The increase of tocopherol in maize shoots and the sharp decrease in ascorbic acid levels after salt stress were reported by <xref ref-type="bibr" rid="B1">AbdElgawad et al. (2016)</xref>. <xref ref-type="bibr" rid="B327">Wang et al. (2015)</xref> also stated that in <italic>Kosteletzkya virginica</italic> seedlings, proline levels increased when introduced to high salinity. In a study by <xref ref-type="bibr" rid="B282">Shen al. (2016)</xref>, a decrease in the levels of glycolysis pathway-associated sugars occurred in barley in response to salt stress. A review of metabolomics comparison reported by <xref ref-type="bibr" rid="B135">Jiao et al. (2018)</xref> in common wild-type soybean W1 and W2 salinity-tolerant wild-type soybean revealed increased accumulation of various organic acids, TCA cycle metabolites, and various amino acids, which in turn gave W2 greater tolerance to salinity than W1. The study of metabolome data from foxtail millet roots showed in this research that 17 associated genes of flavonoid biosynthesis were significantly raised 2- to 11-fold under salinity in Yugu 2 (<xref ref-type="bibr" rid="B228">Pan et al., 2020</xref>). Salinity stress-specific metabolites could therefore serve as biomarkers to evaluate a salt-tolerant and sensitive genotype.</p>
</sec>
<sec id="S4.SS5">
<title>Ionomics</title>
<p>The &#x201C;ionome&#x201D; is said to be the mineral and elemental collection of an organism (<xref ref-type="bibr" rid="B265">Salt et al., 2008</xref>). A landmark in ionomics research was identified in <italic>A. thaliana</italic> (<xref ref-type="bibr" rid="B113">Hirschi, 2003</xref>; <xref ref-type="bibr" rid="B261">Rea, 2003</xref>) where more than a thousand plants were analyzed for ionomic mutants. Ionomic circuits in crops are orchestrated and require critical reviews for high efficiency elemental profiling (<xref ref-type="bibr" rid="B265">Salt et al., 2008</xref>; <xref ref-type="bibr" rid="B24">Baxter, 2009</xref>). High-throughput sequencing, element-specific profiling, mass spectrometry, deletion mapping, X-ray fluorescence, neutron activation analysis, DNA microarray, bulk segregant analysis, and various reverse genetic tools confirmed the involvement of multiple regulators that regulate the ionome (<xref ref-type="bibr" rid="B24">Baxter, 2009</xref>; <xref ref-type="bibr" rid="B25">Becker and Becker, 2010</xref>; <xref ref-type="bibr" rid="B267">Sanchez et al., 2011</xref>; <xref ref-type="bibr" rid="B333">Wu et al., 2013</xref>; <xref ref-type="bibr" rid="B120">Huang and Salt, 2016</xref>). This has provided another possible avenue for exploration for plant-based genetic engineering for stress tolerance. Ionomics could lead to better management of root mineral nutrients status in plants (<xref ref-type="bibr" rid="B280">Shelden and Roessner, 2013</xref>). Ionomics has been deciphering the key elucidation toward ion homeostasis and ion detoxification in response to salinity stress in crops (<xref ref-type="bibr" rid="B267">Sanchez et al., 2011</xref>; <xref ref-type="bibr" rid="B333">Wu et al., 2013</xref>). The research findings indicate altered expression of calcium, magnesium, manganese, iron, and zinc within plants manifested with salinity stress. Phytogeographically plants reacted differently with increasing salinity. Research showed that a higher expression of salinity-responsive miR156 in alfalfa plants results in the accumulation of lower levels of Na<sup>+</sup> (<xref ref-type="bibr" rid="B17">Arshad et al., 2017</xref>).</p>
<p>To adjust high salinity, plants both manage an ion uptake and distribution system (<xref ref-type="bibr" rid="B268">Sanchez et al., 2008</xref>). Since normal plant cells require high amounts of K1 and Na1, this ratio should be high. Low retention of K1 results in high K1 levels in the cytosol at higher Na1 concentrations that get depolarized through membrane currents and causes K1 efflux through outward-rectifying potassium (KOR) channels (<xref ref-type="bibr" rid="B277">Shabala and Mackay, 2011</xref>; <xref ref-type="bibr" rid="B29">Bose et al., 2014</xref>). Entry of Na1 into the cytosol occurs either via selective transporters or via cation channels, in a saltier environment (<xref ref-type="bibr" rid="B267">Sanchez et al., 2011</xref>). During salt stress, Ca<sup>2+</sup> alters Na<sup>+</sup> influx through extracellular channels and then Na1, K1, and Ca1 remain in balance through SOS pathways (<xref ref-type="bibr" rid="B190">Mahajan and Tuteja, 2005</xref>). Membrane transporters maintain appropriate levels of ions such as sodium (Na), potassium (K), hydrogen (H), and others (<xref ref-type="bibr" rid="B286">Shi et al., 2002</xref>; <xref ref-type="bibr" rid="B189">Maathuis, 2006</xref>; <xref ref-type="bibr" rid="B266">Sanadhya et al., 2015</xref>). To expel Na1 from the cell, SOS1 controls SOS3 along with a Ca21 sensor pathway (<xref ref-type="bibr" rid="B148">Khan, 2011</xref>). Through Ca21 messages, SOS3 experiences the extracellular salt environment. SOS2 activates the SOS system.</p>
<p>Na1 transport proteins keep Na1 concentrations low in cell cytosol. In soil, HKT1 contributes to the import of anions into plant roots, and the uptake of cations. The electrochemical potential results in accumulation of Na<sup>+</sup> ions in the leaves in hyper-salinity environments (<xref ref-type="bibr" rid="B297">Su et al., 2003</xref>). The H1-ATPase complex consists of 11 heteromeric subunits (<xref ref-type="bibr" rid="B279">Shabala et al., 2014</xref>). By moving protons across the tonoplast of the endoplasmic reticulum (ER), V-type H1-ATPase produces the proton motive force which allows invisible influx of Na<sup>+</sup> into the vesicle and thus lowers Na<sup>+</sup> toxicity in the cell&#x2019;s cytoplasm. Therefore, Na<sup>+</sup> accumulation inside the vesicle of the cell emerged as an effective framework for osmotic pressure regulation in plant cells (<xref ref-type="bibr" rid="B72">Du et al., 2010</xref>). Halophytes have developed salt glands that remove surplus salts from metabolically active tissues (<xref ref-type="bibr" rid="B5">Agarie et al., 2007</xref>; <xref ref-type="bibr" rid="B81">Flowers and Colmer, 2008</xref>; <xref ref-type="bibr" rid="B279">Shabala et al., 2014</xref>).</p>
</sec>
<sec id="S4.SS6">
<title>Phenomics</title>
<p>With the increasing output of genomics data, phenotyping ability does not offer a crucial benefit in regard to the understanding of phenotypically affected genetic variants which are significantly affected by the environment (<xref ref-type="bibr" rid="B84">Furbank and Tester, 2011</xref>). Multi-laboratory automated phenotyping systems are in development. Of the next-generation techniques, phenotyping techniques provided multiple advantages over traditional tests including non-destructive testing, automating data, and spectral imaging (<xref ref-type="bibr" rid="B26">Berger et al., 2012</xref>; <xref ref-type="bibr" rid="B32">Campbell et al., 2015</xref>; <xref ref-type="bibr" rid="B9">Al-Tamimi et al., 2016</xref>; <xref ref-type="bibr" rid="B221">Negr&#x00E3;o et al., 2017</xref>). The technique for capturing molecular phenotypes at &#x201C;high levels of detail, at unprecedented times and spatial scales&#x201D; is gaining attention (<xref ref-type="bibr" rid="B221">Negr&#x00E3;o et al., 2017</xref>). Some findings have been reported on the color of leaves, as well as stomatal responses to a variety of stresses applied to growing progeny (<xref ref-type="bibr" rid="B26">Berger et al., 2012</xref>; <xref ref-type="bibr" rid="B104">Hairmansis et al., 2014</xref>; <xref ref-type="bibr" rid="B32">Campbell et al., 2015</xref>; <xref ref-type="bibr" rid="B19">Awlia et al., 2016</xref>). Relative growth rate dynamics of chickpea plants under high salinity stress are notable and worth working on (<xref ref-type="bibr" rid="B18">Atieno et al., 2017</xref>). High-throughput phenotyping would be useful in assessing the impact of salt stress on photosynthesis, transpiration, ionic relationships, plant senescence, and on yield. Automatic and digital imaging of plants can further increase understanding of diversity of response of genotype to salinity. Besides, active vision cell technology, deep learning, and other modern phenotyping techniques may be used for defining, quantifying, and predicting plant salinity response with enhanced precision.</p>
<p>Salinity stress can affect seedling growth and seed germination. During vegetative growth, it decreases germination percentage, leaf area, total chlorophyll content, total biomass, and root and shoot length. Visible imaging is used for research, while RGB is used to classify the chlorophyll content of various samples (<xref ref-type="bibr" rid="B200">Mishra et al., 2016a</xref>, <xref ref-type="bibr" rid="B201">b</xref>). Next-generation phenotyping assays are used to determine salt tolerance, for example, &#x201C;PHENOPSIS&#x201D; (<xref ref-type="bibr" rid="B97">Granier et al., 2006</xref>) and &#x201C;WIWAM&#x201D;<sup><xref ref-type="fn" rid="footnote1">1</xref></sup> in rice and other field crops (<xref ref-type="bibr" rid="B121">Humpl&#x00ED;k et al., 2015</xref>; <xref ref-type="bibr" rid="B198">Meng et al., 2017</xref>).</p>
</sec>
</sec>
<sec id="S5">
<title>Conclusion and Future Perspectives</title>
<p>The regulation of plant growth and development processes under salinity stress is very complex. Its effect varies with the type of crop species, their growth habit, growth stages, and with environmental conditions. It affects germination to vegetative stage and up to maturity stage from very low to very high levels depending upon the mechanisms adapted or acclimatized by plants. At present, research on salinity stress tolerance is mainly based on the physio-morphological, biochemical, and molecular levels. The most promising ways to enhance salinity stress tolerance will be (1) screening of stress-tolerant genotypes, (2) a deep understanding of the effects and mechanisms of salinity stress in plants, and (3) identifying new genes, proteins, alleles, and transcription factors in respect to higher salinity tolerance. This study aims to understand the signaling mechanisms under salinity stress and we focused on the important signaling components MAPK and Ca under stress conditions. Thereafter, we addressed the crosstalk of important signaling compounds and plant growth regulators and cleared some ideas regarding their function and regulations under salinity stress. Then we discussed the role of recent advanced technology &#x201C;omics&#x201D; (genomics, proteomics, transcriptomics, and metabolomics) and how these technologies have helped in recent developments in salinity stress tolerance.</p>
<p>To address the challenges identified by existing research and studies, we came to following conclusions, which can be considered for future research in salinity stress tolerance.</p>
<p>(1) Plant stress tolerance is very complex, therefore existing strategies such as physiological, biochemical, soil, agronomical, and molecular approaches should be integrated to achieve salinity stress tolerance.</p>
<p>(2) Gasotransmitters and plant growth regulators have a crucial role in cell signaling, which needs to be focused on more to help understand the complexity of signaling pathways.</p>
<p>(3) &#x201C;Omics&#x201D; technologies are very promising to develop smart crops under environmental fluctuations. Integration of omics technology is a good choice for stress crop improvement programs.</p>
<p>Therefore, this study comprised recent progress in signaling mechanisms, crosstalk mechanisms of signaling compounds, and omics technology for salinity stress tolerance. These developments give a novel insight into understanding the signaling mechanisms and crosstalk under salinity stress tolerance and development of salinity stress tolerance genotypes by applying omics approaches.</p>
</sec>
<sec id="S6">
<title>Author Contributions</title>
<p>All authors have prepared the draft of the manuscript. And also contributed during writing the manuscript, advised scientific suggestion as well as revised/edited the manuscript. All authors contributed to the article and approved the submitted version.</p></sec>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="pudiscl1">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
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<ref-list>
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