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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.2023.1227349</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Plant Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Transcriptomic analysis in tomato fruit reveals divergences in genes involved in cold stress response and fruit ripening</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Mitalo</surname>
<given-names>Oscar W.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/688161"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kang</surname>
<given-names>Seung Won</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1823287"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Tran</surname>
<given-names>Long T.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2228148"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kubo</surname>
<given-names>Yasutaka</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/668252"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ariizumi</surname>
<given-names>Tohru</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/301865"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Ezura</surname>
<given-names>Hiroshi</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/192312"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Graduate School of Life and Environmental Sciences, University of Tsukuba</institution>, <addr-line>Tsukuba</addr-line>, <country>Japan</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Tsukuba-Plant Innovation Research Center, University of Tsukuba</institution>, <addr-line>Tsukuba</addr-line>, <country>Japan</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Graduate School of Environmental and Life Science, Okayama University</institution>, <addr-line>Okayama</addr-line>, <country>Japan</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Luciano Freschi, University of S&#xe3;o Paulo, Brazil</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Diane Maria Beckles, University of California, Davis, United States; Ann Louise Thomas Powell, University of California, Davis, United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Hiroshi Ezura, <email xlink:href="mailto:ezura.hiroshi.fa@u.tsukuba.ac.jp">ezura.hiroshi.fa@u.tsukuba.ac.jp</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>28</day>
<month>07</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>14</volume>
<elocation-id>1227349</elocation-id>
<history>
<date date-type="received">
<day>23</day>
<month>05</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>10</day>
<month>07</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Mitalo, Kang, Tran, Kubo, Ariizumi and Ezura</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Mitalo, Kang, Tran, Kubo, Ariizumi and Ezura</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>Cold storage is widely used to extend the postharvest life of most horticultural crops, including tomatoes, but this practice triggers cold stress and leads to the development of undesirable chilling injury (CI) symptoms. The underlying mechanisms of cold stress response and CI development in fruits remain unclear as they are often intermingled with fruit ripening changes. To gain insight into cold responses in fruits, we examined the effect of the potent ethylene signaling inhibitor 1-methylcyclopropene (1-MCP) on fruit ripening, CI occurrence and gene expression in mature green tomatoes during storage at 20&#xb0;C and 5&#xb0;C. 1-MCP treatments effectively inhibited ethylene production and peel color changes during storage at 20&#xb0;C. Storage at 5&#xb0;C also inhibited both ethylene production and peel color change; during rewarming at 20&#xb0;C, 1-MCP treatments inhibited peel color change but failed to inhibit ethylene production. Furthermore, fruits stored at 5&#xb0;C for 14 d developed CI symptoms (surface pitting and decay) during the rewarming period at 20&#xb0;C regardless of 1-MCP treatment. Subsequent RNA-Seq analysis revealed that cold stress triggers a large-scale transcriptomic adjustment, as noticeably more genes were differentially expressed at 5&#xb0;C (8,406) than at 20&#xb0;C (4,814). More importantly, we have found some important divergences among genes involved in fruit ripening (up- or down-regulated at 20&#xb0;C; inhibited by 1-MCP treatment) and those involved in cold stress (up- or down-regulated at 5&#xb0;C; unaffected by 1-MCP treatment). Transcriptomic adjustments unique to cold stress response were associated with ribosome biogenesis, NcRNA metabolism, DNA methylation, chromatin formation/remodeling, and alternative splicing events. These data should foster further research into cold stress response mechanisms in fruits with the ultimate aim of improving tolerance to low temperature and reduction of CI symptoms during cold storage.</p>
</abstract>
<kwd-group>
<kwd>cold stress</kwd>
<kwd>chilling injury</kwd>
<kwd>&#x201c;Micro-Tom&#x201d;</kwd>
<kwd>&#x201c;Moneymaker&#x201d;</kwd>
<kwd>RNA-Seq</kwd>
<kwd>ripening</kwd>
</kwd-group>
<contract-num rid="cn001">21F21400</contract-num>
<contract-sponsor id="cn001">Japan Society for the Promotion of Science<named-content content-type="fundref-id">10.13039/501100001691</named-content>
</contract-sponsor>
<counts>
<fig-count count="9"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="66"/>
<page-count count="17"/>
<word-count count="7955"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Plant Physiology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Cold storage is an inevitable technique during postharvest handling of horticultural produce, mainly because of the broad spectrum inhibitory effects of low temperature on quality deterioration and postharvest loss. Low temperature is generally thought to slow most cell metabolic processes (<xref ref-type="bibr" rid="B9">Chinnusamy et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B43">Rao, 2015</xref>), including those which contribute to reduced postharvest life such as fruit ripening, respiration and senescence. Storage at low temperatures also inhibits growth of most postharvest pathogens which are popularly associated with reduced quality (<xref ref-type="bibr" rid="B57">Vico et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B34">Manning et&#xa0;al., 2016</xref>). However, certain crops particularly tropical and subtropical types are sensitive to low temperatures, and hence suboptimal cold storage triggers a multitude of physiological disorders collectively referred to as chilling injury (CI) (<xref ref-type="bibr" rid="B50">Sevillano et&#xa0;al., 2009</xref>). CI symptoms are complex in nature and vary depending on species, cultivar, tissue and organ, and maturity stage (<xref ref-type="bibr" rid="B58">Wang, 1994</xref>; <xref ref-type="bibr" rid="B50">Sevillano et&#xa0;al., 2009</xref>). As CI symptoms are deleterious and contribute greatly to horticultural crop loss and heavy economic losses, there is an ongoing effort to understand the regulatory mechanisms involved in order to develop resilient crops.</p>
<p>Relevant progress in understanding cold stress responses and CI development has been made in vegetative plant and organs, particularly leaves. In tolerant plants such as Arabidopsis, wheat and barley, cold stress triggers an adaptive response called cold acclimation, which refers to a suite of physiological and biochemical changes that are primarily regulated by three C-repeat binding factor/drought response element binding factor 1B (CBF/DREB1) genes (<xref ref-type="bibr" rid="B19">Jiang et&#xa0;al., 2017</xref>). Low temperature rapidly triggers the expression of <italic>CBFs</italic>, and the cold-induced CBF proteins activate the expression of numerous cold-regulated genes, thus enhancing tolerance to cold stress (<xref ref-type="bibr" rid="B22">Kidokoro et&#xa0;al., 2022</xref>). While cold sensitive plants generally lack the capacity to cold acclimate, a limited but relevant ability to adapt to chilling stress was reported in three-week old tomato seedlings (<xref ref-type="bibr" rid="B4">Barrero-Gil et&#xa0;al., 2016</xref>), as well as in the seedlings of maize (<xref ref-type="bibr" rid="B3">Anderson et&#xa0;al., 1994</xref>), rice (<xref ref-type="bibr" rid="B26">Kuk et&#xa0;al., 2003</xref>), and sweet pepper (<xref ref-type="bibr" rid="B32">Liu et&#xa0;al., 2001</xref>).</p>
<p>Unlike in the vegetative stages, cold stress responses and the mechanisms regulating CI development in the fruit remain unclear. This is partly because the adjustments that occur in response to cold stress at the vegetative stage are not necessarily similar to those taking place in the fruits of the same plant. For instance, cold stress activated the expression of <italic>SlCBF1</italic> in the leaves of &#x201c;Micro-Tom&#x201d; tomato plants but not in the fruits (<xref ref-type="bibr" rid="B62">Weiss and Egea-Cortines, 2009</xref>), while citrus <italic>COR15</italic>&#x2013;which encodes a dehydrin&#x2013;was swiftly induced by cold stress in leaves but expressed constitutively in fruits (<xref ref-type="bibr" rid="B46">Sanchez-Ballesta et&#xa0;al., 2004</xref>). Secondly, cold stress responses in fruits are often intermingled with fruit ripening and senescence (<xref ref-type="bibr" rid="B5">Biswas et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B52">Shipman et&#xa0;al., 2021</xref>), and hence it is hard to ascribe the resultant physio-molecular adjustments and symptoms to CI.</p>
<p>Tomato is an important horticultural crop and an established model for the study of fleshy fruit species (<xref ref-type="bibr" rid="B11">Ezura, 2009</xref>; <xref ref-type="bibr" rid="B36">Menda et&#xa0;al., 2013</xref>). Tomato fruits are very sensitive to cold stress and storage at temperatures below 10&#xb0;C triggers several CI symptoms such as flavor loss, impaired ripening, surface pitting, poor texture, increased susceptibility to postharvest decay and discoloration (<xref ref-type="bibr" rid="B5">Biswas et&#xa0;al., 2016</xref>). As a typical climacteric fruit, the ripening process in tomato is largely controlled by the phytohormone ethylene (<xref ref-type="bibr" rid="B30">Li et&#xa0;al., 2019</xref>), through up- or down-regulation of various ripening-associated genes. Mutations in ethylene receptors have been shown to significantly inhibit fruit ripening in tomatoes (<xref ref-type="bibr" rid="B27">Lanahan et&#xa0;al., 1994</xref>; <xref ref-type="bibr" rid="B41">Okabe et&#xa0;al., 2011</xref>), but partial retention of ethylene sensitivity in these mutants likely due to functional redundancy among several receptors was also reported (<xref ref-type="bibr" rid="B54">Tieman et&#xa0;al., 2000</xref>; <xref ref-type="bibr" rid="B15">Grat&#xe3;o et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B7">Chen et&#xa0;al., 2019</xref>). 1-Methylclopropene (1-MCP) is a synthetic compound that irreversibly binds to ethylene receptors (<xref ref-type="bibr" rid="B49">Serek et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B61">Watkins, 2006</xref>), at a higher affinity than ethylene (<xref ref-type="bibr" rid="B6">Blankenship and Dole, 2003</xref>), thus preventing the hormone from binding to the receptors and blocking ethylene activation of downstream events. A major advantage of using 1-MCP to block ethylene signaling over other approaches is that 1-MCP indiscriminately binds to all ethylene receptors in addition to providing precision and high efficiency (<xref ref-type="bibr" rid="B48">Schotsmans et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B21">Kamiyoshihara et&#xa0;al., 2012</xref>), which allows researchers to study both ethylene-dependent and -independent processes in a relatively short period of time.</p>
<p>Here, RNA-Seq analysis was used to identify transcriptional adjustments which occur during normal ripening at 20&#xb0;C or in response to cold stress (5&#xb0;C, 14 d) in &#x201c;Micro-Tom&#x201d; tomatoes. In an attempt to differentiate cold stress-induced <italic>versus</italic> ethylene-induced (to a large extent, fruit ripening) changes, we also monitored gene expression changes in both &#x201c;Micro-Tom&#x201d; and &#x201c;Moneymaker&#x201d; tomatoes that had been repeatedly treated with 1-MCP during storage at 20&#xb0;C and 5&#xb0;C. This analysis revealed that genes associated with epigenetic modifications, ribosome biogenesis, proteasome and non-coding RNA metabolism, alternative splicing events and several transcription factors could be involved in the series of events unique to cold stress and CI development in fruits.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Plant material and treatments</title>
<p>
<italic>Solanum lycopersicum</italic> &#x201c;Micro-Tom&#x201d; (TOMJPF00001) and &#x201c;Moneymaker&#x201d; cultivars were obtained from the National Bioresource Project (MEXT, Japan) through the TOMATOMA database (<xref ref-type="bibr" rid="B45">Saito et&#xa0;al., 2011</xref>). Fruits were harvested at the mature green stage (before onset of autocatalytic ethylene production), washed in commercial bleach (1:10 dilution of sodium hypochlorite) and sorted to ensure uniform size, color and absence of defects or damage. This timing of harvest was well thought out to avoid the effect of large amounts of ethylene, which are produced at later maturity stages, during cold stress tests. For each cultivar, two groups of 50 fruits were used to characterize the ripening behavior at 20&#xb0;C; the first group were treated (2&#x2013;3 times a week) with 2 &#xb5;LL<sup>-1</sup> 1-MCP for 12 h, while the second group were a non-treated control. For cold stress tests, two groups of 50 fruits were also used; the first group was treated with 1-MCP as described above while the other group was a non-treated control. &#x201c;Micro-Tom&#x201d; fruits were stored at 5&#xb0;C for 14 d before being transferred to 20&#xb0;C for up to 21 d. Three separate storage trials were carried out on &#x201c;Micro-Tom&#x201d; fruits. &#x201c;Moneymaker&#x201d; fruits were also stored at 5&#xb0;C but for 21 d; after every 7 d, 10 fruits were transferred to 20&#xb0;C to observe CI symptoms. 1-MCP treatments were carried out to keep the fruits insensitive to ethylene. To release 1-MCP gas, SmartFresh&#x2122; powder (AgroFresh, PA, USA) was dissolved in water and soda lime was added in the sealed treatment containers to reduce CO<sub>2</sub> accumulation. For DNA methylation inhibitor treatment, &#x201c;Moneymaker&#x201d; fruits at the mature green stage were used. The fruits were injected with 100 &#xb5;L of 50 mM 5-azacytidine aqueous solution into the columella at harvest and every 7 d during storage at 5&#xb0;C. The negative controls were injected with the same amount of distilled water. In all treatments, pericarp samples of three replicate fruits were collected, frozen in liquid nitrogen and stored at -80&#xb0;C for future analysis.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Determination of peel color</title>
<p>Peel color measurements were carried out on four evenly distributed equatorial sites using a Konica Minolta Color Reader CR-10 (Konica Minolta, Tokyo, Japan). The Hunter lab parameter a*, which is a measure of greenness or redness, was recorded and then expressed as the mean of six replicate fruits.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Ethylene measurements</title>
<p>Individual fruits were incubated at the respective storage temperatures for 1 h. Headspace gas (1 mL) was then withdrawn and injected into a Shimadzu 5890 series gas chromatograph (Shimadzu, Kyoto, Japan) equipped with a flame ionization detector (200&#xb0;C) and an activated alumina column (80&#xb0;C). Ethylene production rates were expressed as the mean of 10 replicate fruits.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Determination of CI index</title>
<p>Fruits were assessed visually for severity of CI symptoms based on a five-point scale (0&#x2009;=&#x2009;no injury; 1&#x2009;=&#x2009;&lt; 10%; 2&#x2009;=&#x2009;11 to 25%; 3&#x2009;=&#x2009;26&#x2013;40%, and 4&#x2009;=&#x2009;&gt; 40%) consisting of three parameters: surface pitting, uneven ripening, and decay (<xref ref-type="bibr" rid="B56">Vega-Garc&#xed;a et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B1">Albornoz et&#xa0;al., 2019</xref>). The CI index was then calculated by determining the average of the injury levels of surface pitting, uneven ripening, and decay. For each time point, 10 fruits were evaluated individually, and the CI indexes were averaged.</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Library construction and RNA sequencing</title>
<p>Pericarp samples of &#x201c;Micro-Tom&#x201d; fruits collected at harvest (0 d), after 14 d storage at either 5&#xb0;C or 20&#xb0;C, and after 21 d at 20&#xb0;C or 14 d at 5&#xb0;C followed by 7 d at 20&#xb0;C (three fruit per treatment) were used for RNA-Seq analysis. Total RNA was extracted from 100 mg samples using the RNeasy<sup>&#xae;</sup> Plant Mini Kit (Qiagen, Hilden, Germany), treated with DNase I (Nippon Gene, Tokyo, Japan) to remove genomic DNA contamination and further purified with FavorPrep after Tri-Reagent RNA Clean-up Kit (Favorgen Biotech. Co., Ping-Tung, Taiwan). Paired-end libraries were then constructed using NEBNext<sup>&#xae;</sup> Ultra<sup>&#x2122;</sup> II Directional RNA Library Prep Kit (New England Biolabs), and sequencing was performed on an Illumina Novaseq 6000 platform (Illumina, Inc.).</p>
</sec>
<sec id="s2_6">
<label>2.6</label>
<title>Differential gene expression analysis</title>
<p>The sequenced reads were analyzed primarily on the Galaxy online platform<xref ref-type="fn" rid="fn1">
<sup>1</sup>
</xref>. Trimming was first carried out to exclude both low quality sequences and adapter sequences. The trimmed reads were then mapped to the reference <italic>S. lycopersicum</italic> genome (SL4.0), and mapped reads were counted using the featureCounts tool. Gene expression levels were then normalized as transcripts per kilobase million (TPM) reads. Differentially expressed genes (DEGs) were obtained by comparing the expression levels in samples after 14 d of storage at either 5&#xb0;C or 20&#xb0;C with those of at-harvest (0 d) samples on the iDEP (v. 0.96) web-based toolkit (<xref ref-type="bibr" rid="B14">Ge et&#xa0;al., 2018</xref>). Three criteria were used to detect DEGs: (i) TPM &#x2265; 1.0 in either of the three replicate samples, (ii) false discovery rate &#x2264; 0.01, and (iii) two-fold increase or increase in expression levels. Weighted gene co-expression network analysis (WGCNA) method (<xref ref-type="bibr" rid="B29">Langfelder and Horvath, 2008</xref>) was then employed to generate clusters of highly correlated genes with 8 and 0.15 as thresholding power and tree-cut parameters, respectively. Significantly enriched gene ontology (GO) terms and KEGG pathways were established using the ShinyGO (v. 0.77) web-based toolkit (<xref ref-type="bibr" rid="B13">Ge et&#xa0;al., 2020</xref>). The cut-off for significantly enriched terms was <italic>P</italic> &lt; 0.05.</p>
</sec>
<sec id="s2_7">
<label>2.7</label>
<title>Quantitative real-time PCR (qPCR) analysis</title>
<p>cDNA was synthesized from 1 &#xb5;g of clean DNase I-treated RNA (same samples as those used for library construction) using the SuperScript<sup>&#xae;</sup> III First-Strand Synthesis SuperMix for qRT-PCR kit (Invitrogen). Gene-specific primers (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;1</bold>
</xref>) were designed using the Primer3 online software (version 0.4.0<xref ref-type="fn" rid="fn2">
<sup>2</sup>
</xref>). Gene expression of three biological replicates was examined on a Stratagene Mx3005P Real-Time QPCR System (Agilent Technologies, Santa Clara, CA, USA) using KOD SYBR<sup>&#xae;</sup> qPCR Mix (Toyobo, Osaka, Japan). <italic>SlActin</italic> (<italic>Solyc03g078400</italic>) was used as the housekeeping gene after examining its constitutive expression pattern from the RNA-Seq data. Relative expression values were calculated using the 2<sup>-&#x394;&#x394;Ct</sup> method with at-harvest (0 d) samples calibrated as 1.</p>
</sec>
<sec id="s2_8">
<label>2.8</label>
<title>McrBC-qPCR analysis</title>
<p>Genomic DNA was extracted from the pericarp of &#x201c;Moneymaker&#x201d; fruits (three replicates for each time point) using the Nucleospin<sup>&#xae;</sup> Plant II kit (Takara, Shiga, Japan).The genomic DNA (1 &#xb5;g) was then digested at 37&#xb0;C overnight with McrBC (Takara), before performing qPCR analysis as described in section 2.7 with 20 ng digested DNA as a template. Undigested gDNA samples were used as controls. Relative methylation was then calculated as 2<sup>Ct(digested) - Ct(undigested)</sup>, such that higher relative McrBC-qPCR signals correspond to higher methylation levels.</p>
</sec>
<sec id="s2_9">
<label>2.9</label>
<title>Gene expression analysis in tomato leaves</title>
<p>Three-week old &#x201c;Moneymaker&#x201d; seedlings were transferred to 5&#xb0;C or 20&#xb0;C for up to 7 d. Leaves were collected at 0, 3, 5, and 7 d for RNA extraction and qPCR analysis as described in section 2.7.</p>
</sec>
<sec id="s2_10">
<label>2.10</label>
<title>Statistical analysis</title>
<p>Data obtained in this study were subjected to statistical analysis using R v.3.4.0<xref ref-type="fn" rid="fn3">
<sup>3</sup>
</xref>. Differences in ethylene production rates, peel color, CI index, methylation levels and gene expression levels were determined using ANOVA followed by Tukey&#x2019;s <italic>post hoc</italic> tests.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Characterization of fruit ripening, chilling injury and the effect of 1-MCP</title>
<p>Non-treated tomato fruits started to lose their green peel color after 7 d at 20&#xb0;C, attaining a uniform red color after 21 d (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;1</bold>
</xref>). This was evidenced by an increase in parameter a* from negative values to positive values (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1C</bold>
</xref>; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;1</bold>
</xref>). The changes in peel color were consistent with ethylene production rates (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1D</bold>
</xref>), which increased from 7 d in fruits during storage at 20&#xb0;C and peaked at 14 d in a typical climacteric pattern. For the 1-MCP-treated fruits, both peel color changes and ethylene production rates did not change significantly in the first 14 d at 20&#xb0;C; although ethylene production rates increased later on, the peak was 58% lower than that of non-treated fruits, and the fruits never attained a red color throughout the 35 d storage period.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>External changes and ethylene production rates in mature green &#x201c;Micro-Tom&#x201d; tomato fruits during storage at 20 and 5&#xb0;C with or without 1-methylcyclopropene (1-MCP) treatment. <bold>(A)</bold> Effect of 1-MCP on external appearance during storage at 20&#xb0;C. <bold>(B)</bold> Effect of 1-MCP on external changes during storage at 5&#xb0;C and post-cold storage at 20&#xb0;C. <bold>(C)</bold> Changes in CIELAB color parameter a* during storage at 20&#xb0;C (left panel) and 5&#xb0;C (right panel) with or without 1-MCP treatment. Each datapoint represents the average (&#xb1; SE) of 6 fruits. <bold>(D)</bold> Ethylene production rates. Each datapoint represents the average (&#xb1; SE) of 10 fruits. <bold>(E)</bold> Chilling injury index in fruits during storage at 20&#xb0;C following 14 d at 5&#xb0;C. Each column represents the average (&#xb1; SE) of 10 fruits. <bold>(F)</bold> Images of fruits showing uneven ripening and surface pitting after storage at 5&#xb0;C, and decay with surface pitting in 1-MCP treated fruits. Fruits were stored at 5&#xb0;C for 14 d followed by post-cold shelf life at 20&#xb0;C for 7 d. Different letters in <bold>(C, D, E)</bold> indicate significant differences in ANOVA (Tukey&#x2019;s test, <italic>P</italic> &lt; 0.05). White horizontal bars in <bold>(A, B, F)</bold> indicate 1 cm.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1227349-g001.tif"/>
</fig>
<p>During storage at 5&#xb0;C, both non-treated and 1-MCP-treated fruits did not show any noticeable change in peel color (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1B, C</bold>
</xref>), and the ethylene production rates also did not change significantly (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1D</bold>
</xref>). On rewarming at 20&#xb0;C, ethylene production rates increased, with a lag of about 6 d in 1-MCP-treated fruits (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1D</bold>
</xref>). The rewarmed fruits, however, failed to ripen normally, developed pitted surfaces and showed decay symptoms as evidenced by the high CI index values (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1B, E, F</bold>
</xref>; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;1</bold>
</xref>).</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Transcriptomic responses in the pericarp: cold response <italic>versus</italic> fruit ripening</title>
<p>RNA-Seq analysis was then performed to identify gene expression changes during normal fruit ripening (at 20&#xb0;C) and in response to cold stress (triggered by storage at 5&#xb0;C for 14 d) in &#x201c;Micro-Tom&#x201d; fruits. By comparing samples collected after 14 d storage at 20&#xb0;C and 5&#xb0;C with at-harvest (0 d) samples, we identified 10,042 DEGs. Interestingly, we found more upregulated and downregulated genes at 5&#xb0;C (8,406) than at 20&#xb0;C (4,814) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). Subsequent hierarchical clustering of the DEGs against temporal expression patterns in at-harvest, stored and rewarmed samples outlined 9 major modules (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Tables&#xa0;2</bold>
</xref>-<xref ref-type="supplementary-material" rid="SM1">
<bold>10</bold>
</xref>). Among them, modules I, II, III, IV, VII and VIII comprised genes which were differentially expressed both at 20&#xb0;C and 5&#xb0;C, and 1-MCP treatment affected their expression levels at both temperatures; this indicated that they are regulated by either ethylene or low temperature. Genes in modules V and VI were up- or down-regulated during storage at 20&#xb0;C, a change that was reversed by 1-MCP treatment; these expression changes were suppressed during storage at 5&#xb0;C, but they recovered (at least to some extent) upon rewarming. Interestingly, module IX genes displayed insignificant expression changes during storage at 20&#xb0;C, but they were up- or down-regulated at 5&#xb0;C in both 1-MCP-treated and non-treated samples with a reversion to original levels upon rewarming at 20&#xb0;C.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Gene expression changes in mature green &#x201c;Micro-Tom&#x201d; tomato fruits during storage at 20 and 5&#xb0;C, and the effect of 1-MCP treatment. <bold>(A)</bold> Numbers of up- and down-regulated genes during storage at 20 and 5&#xb0;C. Samples after 14 d of storage were compared to those collected at-harvest (0 d). <bold>(B)</bold> Heatmap visualization of the highly co-expressed gene clusters. <bold>(C)</bold> GO terms enriched among the differentially expressed genes in each cluster. Color panels indicate the <italic>P</italic>-value of GO enrichment. <bold>(D)</bold> KEGG pathway enrichment analysis among the differentially expressed genes in each cluster. Color panels indicate the significance level of enrichment.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1227349-g002.tif"/>
</fig>
<p>To further understand the molecular changes that are induced during cold response <italic>versus</italic> fruit ripening, we performed GO term and KEGG pathway-based enrichment analyses of the DEGs in each of the modules identified above. GO analysis confirmed that genes in module VI were associated with &#x2018;fruit ripening&#x2019; (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2C</bold>
</xref>), especially the &#x2018;carotenoid biosynthesis pathway&#x2019; (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2D</bold>
</xref>). On the other hand, module IX genes were dominated by functions such as &#x2018;gene expression&#x2019;, &#x2018;translation&#x2019;, &#x2018;ribosome biogenesis&#x2019;, &#x2018;proteasome&#x2019; and &#x2018;NcRNA metabolism&#x2019; (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2C, D</bold>
</xref>). Other functions that were uniquely enriched in module IX genes included &#x2018;spliceosome&#x2019;, &#x2018;organonitrogen biosynthesis&#x2019;, and &#x2018;linolenic acid metabolism&#x2019;.</p>
<p>All in all, our results indicated that there was a divergence in the molecular adjustments triggered by cold response and those involved in fruit ripening in tomatoes. Module VI genes, in particular, were mostly involved in changes that lead to fruit ripening and they were under the influence of ethylene signaling (i.e., affected by 1-MCP treatment). Conversely, module IX genes were regulated by low temperature while ethylene signaling had little or no significant influence on their expression levels (i.e., unchanged by ethylene at 20&#xb0;C and unaffected by 1-MCP at 5&#xb0;C.</p>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Transcripts associated with fruit ripening</title>
<p>Genes that have been commonly associated with fruit ripening were selected from among the DEGs for further examination and to assert the inhibitory effect of 1-MCP. Most of these genes belonged to module VI; they were upregulated at 20&#xb0;C in accordance with ethylene production rates and 1-MCP treatment inhibited this change (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). However, one gene (<italic>SlSGR</italic>, <italic>Solyc12g056480</italic>), which encodes magnesium dechelatase that is involved in chlorophyll degradation (<xref ref-type="bibr" rid="B51">Shimoda et&#xa0;al., 2016</xref>), was upregulated only at 5&#xb0;C and 1-MCP treatment did not inhibit this expression change, indicating that it responded only to low temperature and was independent of ethylene signaling.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Expression patterns of selected genes commonly associated with fruit ripening and the effect of 1-MCP. <bold>(A)</bold>. Heatmap of DEGs encoding transcription factors and enzymes in mature green &#x201c;Micro-Tom&#x201d; tomato fruits at the indicated storage temperatures and duration. <bold>(B)</bold> RT-qPCR analysis of selected genes from <bold>(A)</bold> in mature green &#x201c;Micro-Tom&#x201d; tomato fruits at the indicated times. Expression values are relative to the value at harvest (0 d) and the housekeeping gene was <italic>SlActin</italic>. Datapoints indicate means (&#xb1; SE) of three replicate fruits. Different letters indicate significant differences in ANOVA (Tukey&#x2019;s test, <italic>P</italic> &lt; 0.05).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1227349-g003.tif"/>
</fig>
<p>Six of the genes in <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref> were then selected for validation by qPCR analysis. These included <italic>ripening inhibitor</italic> (<italic>SlRIN</italic>) and <italic>non-ripening</italic> (<italic>SlNOR</italic>) which encode established molecular regulators of fruit ripening, <italic>1-aminocyclopropane-1-carboxylic acid synthase 2</italic> (<italic>SlACS2</italic>) which encodes an ethylene biosynthetic enzyme, <italic>polygalacturonase 2a</italic> (<italic>SlPG2a</italic>) which is involved in fruit softening, <italic>phytoene synthase 1</italic> (<italic>SlPSY1</italic>) which is involved in carotenoid metabolism and the aroma volatile production-associated <italic>alcohol acyl transferase</italic> (<italic>SlAAT</italic>). As expected, the expression levels of these six genes increased markedly in non-treated fruits during storage at 20&#xb0;C (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>), which corresponded with the ethylene production patterns observed earlier (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1D</bold>
</xref>). In 1-MCP-treated fruits at 20&#xb0;C, little or insignificant changes in expression levels were registered during the first 14 d; increases however occurred at 21 d as ethylene production levels rose. The expression levels of these ripening-associated genes (except for <italic>SlSGR</italic>) remained mostly unchanged during storage at 5&#xb0;C and even after 1 d of rewarming at 20&#xb0;C; significant transcript accumulation occurred after post-cold storage for 7 d at 20&#xb0;C. Together, these results reaffirmed that ethylene signaling regulates the ripening process in tomatoes and 1-MCP treatment effectively blocks ethylene-mediated regulation of the genes involved.</p>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Transcripts associated with oxidative damage</title>
<p>Cold stress results in increased levels of reactive oxygen species which cause oxidative damage in fruits and vegetables (<xref ref-type="bibr" rid="B50">Sevillano et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B55">Valenzuela et&#xa0;al., 2017</xref>). To avoid or tolerate this oxidative damage, several enzymatic reactions catalyzed by lipoxygenases (LOX), peroxidases (POX), alternative oxidases (AOX), catalases (CAT), and superoxide dismutases (SOD) are generated in the affected plants. We therefore examined further the expression patterns of genes encoding these antioxidant defense enzymes from among the DEGs. Interestingly, out of the 18 genes that we found (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>), a majority (13 genes, 72%) belonged to module IX as they showed insignificant changes in expression levels during storage at 20&#xb0;C, but they were differentially expressed at 5&#xb0;C with or without 1-MCP treatment. Furthermore, only 2 out of these 13 genes were downregulated while the rest (11 genes) were upregulated in fruits stored at 5&#xb0;C.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Expression patterns of genes associated with oxidative damage. <bold>(A)</bold> Heatmap of DEGs responding to low temperature alone in mature green &#x201c;Micro-Tom&#x201d; tomato fruits at the indicated storage temperatures and duration. <bold>(B)</bold> RT-qPCR analysis of selected genes from <bold>(A)</bold> in mature green &#x201c;Micro-Tom&#x201d; tomato fruits at the indicated times. <bold>(C)</bold> RT-qPCR analysis of selected genes from <bold>(A)</bold> in mature green &#x201c;Moneymaker&#x201d; tomato fruits at the indicated times. Values in brackets on the horizontal axis indicate number of days at 5&#xb0;C + 7 days of rewarming at 20&#xb0;C. Expression values are relative to the value at harvest (0 d) and the housekeeping gene was <italic>SlActin</italic>. Datapoints in <bold>(B, C)</bold> indicate means (&#xb1; SE) of three replicate fruits. Different letters indicate significant differences in ANOVA (Tukey&#x2019;s test, <italic>P</italic> &lt; 0.05).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1227349-g004.tif"/>
</fig>
<p>We then studied the expression of <italic>SlAOX1a</italic> (<italic>Solyc08g075540</italic>) and <italic>SlPOX65</italic> (<italic>Solyc08g007150</italic>) in both &#x201c;Micro-Tom&#x201d; and &#x201c;Moneymaker&#x201d; fruits during storage at 5&#xb0;C and 20&#xb0;C via qPCR analysis. As indicated in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;1</bold>
</xref>, &#x201c;Moneymaker&#x201d; fruits also exhibited CI symptoms during rewarming at 20&#xb0;C following storage at 5&#xb0;C for 7, 14, and 21 d. <italic>SlAOX1a</italic> and <italic>SlPOX65</italic> transcript levels notably increased in both &#x201c;Micro-Tom&#x201d; and &#x201c;Moneymaker&#x201d; fruits during storage at 5&#xb0;C with or without 1-MCP treatment, and decreased immediately after the fruits were rewarmed to 20&#xb0;C (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4B, C</bold>
</xref>). During storage at 20&#xb0;C, the expression levels remained mostly unchanged except for a relatively slight but relevant increase in <italic>SlAOX1a</italic> transcript levels in &#x201c;Moneymaker&#x201d; fruits. Therefore, it appears that the adaptive responses to cold stress-triggered ROS accumulation in tomato fruits are typically not influenced by ethylene signaling.</p>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Transcripts associated with ribosome biogenesis</title>
<p>Term enrichment analysis of our RNA-Seq data (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2C, D</bold>
</xref>) indicated that one of the molecular responses to low temperature alone (with respect to fruit ripening) was adjustments among ribosomal proteins and the ribosome biogenesis pathway in addition to &#x2018;NcRNA metabolism&#x2019;. Visualization of enriched pathways suggested that low temperature triggers comprehensive changes in both large and small ribosomal subunits as well as ribosomal biogenesis factors (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5A</bold>
</xref>). After a closer look at the DEGs, we found 30 genes belonging to module IX (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5B</bold>
</xref>). Their expression levels did not change significantly during storage at 20&#xb0;C, but 18 of them were upregulated while the remaining 12 were downregulated during storage at 5&#xb0;C both in 1-MCP-treated and non-treated fruits. qPCR analysis further confirmed the upregulation of <italic>SlZFP622/REIL1</italic> (<italic>Solyc08g006470</italic>), encoding a ribosome biogenesis factor, during storage at 5&#xb0;C with transcript levels peaking at 7 d in both &#x201c;Micro-Tom&#x201d; and &#x201c;Moneymaker&#x201d; tomatoes (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5C</bold>
</xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Transcriptional changes associated with ribosome biogenesis. <bold>(A)</bold>. Enrichment of pathways related with ribosomal proteins and their biogenesis. <bold>(B)</bold> Heatmap of DEGs responding to low temperature alone in mature green &#x201c;Micro-Tom&#x201d; tomato fruits at the indicated storage temperatures and duration. <bold>(C)</bold> RT-qPCR analysis of <italic>ZFP622/REIL2</italic> (indicated by a black arrow in <bold>B</bold>) in mature green &#x201c;Micro-Tom&#x201d; tomato fruits (left panel) and mature green &#x201c;Moneymaker&#x201d; tomato fruits (right panel) at the indicated times. Expression values are relative to the value at harvest (0 d) and the housekeeping gene was <italic>SlActin</italic>. Values in brackets on the horizontal axis indicate number of days at 5&#xb0;C + 7 days of rewarming at 20&#xb0;C. Datapoints indicate means (&#xb1; SE) of three replicate fruits. Different letters indicate significant differences in ANOVA (Tukey&#x2019;s test, <italic>P</italic> &lt; 0.05).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1227349-g005.tif"/>
</fig>
</sec>
<sec id="s3_6">
<label>3.6</label>
<title>Transcripts associated with the spliceosome</title>
<p>Another category that stood out among the DEGs responding to low temperature alone (module IX) was &#x2018;spliceosome&#x2019; (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2D</bold>
</xref>), a protein complex in which introns are removed from immature mRNAs to generate uninterrupted open reading frames for translation or to produce different splicing variants of the same gene and hence potentially increase the total number of proteins in the cell (<xref ref-type="bibr" rid="B44">Reddy et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B60">Wang et&#xa0;al., 2022</xref>). Further visualization of the spliceosome pathway confirmed that several components were highly enriched among the module IX DEGs (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6A</bold>
</xref>). Twelve genes associated with the spliceosome were then isolated from the total DEGs (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6B</bold>
</xref>), of which 11 were upregulated only in fruits stored at 5&#xb0;C for 14 d with or without 1-MCP treatment while 1 gene was downregulated. This included <italic>SlSmEb</italic> (<italic>Solyc06g072280</italic>) whose ortholog in Arabidopsis has been associated with proper alternative splicing events during chilling stress responses (<xref ref-type="bibr" rid="B60">Wang et&#xa0;al., 2022</xref>). By qPCR analysis, we confirmed that <italic>SlSmEb</italic> transcripts accumulate in both &#x201c;Micro-Tom&#x201d; and &#x201c;Moneymaker&#x201d; tomatoes during storage at 5&#xb0;C irrespective of 1-MCP treatments, but little or insignificant changes in expression occur at 20&#xb0;C (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6C</bold>
</xref>). The cold-specific upregulation of <italic>SlSmEb</italic> is further supported by the swift drop in expression levels (within 1 d in &#x201c;Micro-Tom&#x201d; tomatoes) when fruits were transferred from 5&#xb0;C to 20&#xb0;C.</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Transcriptional changes associated with the spliceosome. <bold>(A)</bold>. Enrichment of spliceosome-associated components among DEGs responding to low temperature alone. <bold>(B)</bold> Heatmap of DEGs associated with the spliceosome in mature green &#x201c;Micro-Tom&#x201d; tomato fruits at the indicated storage temperatures and duration. <bold>(C)</bold> RT-qPCR analysis of the spliceosome component <italic>SlSmEb</italic> (indicated by black arrow in <bold>B</bold>) in mature green &#x201c;Micro-Tom&#x201d; tomato fruits (left panel) and mature green &#x201c;Moneymaker&#x201d; tomato fruits (right panel) at the indicated times. Expression values are relative to the value at harvest (0 d) and the housekeeping gene was <italic>SlActin</italic>. Values in brackets on the horizontal axis indicate number of days at 5&#xb0;C + 7 days of rewarming at 20&#xb0;C. Datapoints indicate means (&#xb1; SE) of three replicate fruits. Different letters indicate significant differences in ANOVA (Tukey&#x2019;s test, <italic>P</italic> &lt; 0.05).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1227349-g006.tif"/>
</fig>
</sec>
<sec id="s3_7">
<label>3.7</label>
<title>Transcripts associated with transcription factors, chaperones and signaling peptides</title>
<p>As is the case with other biotic and abiotic stresses, the physiological and biochemical alterations which occur in plants under cold stress are controlled by several regulatory hubs that include various transcription factors, hormones, chaperones and signaling peptides (<xref ref-type="bibr" rid="B25">Kosov&#xe1; et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B35">Mehrotra et&#xa0;al., 2020</xref>). We therefore scrutinized our DEGs particularly in module IX to see how genes associated with these regulatory hubs are affected by cold stress. This led to the identification of 99 DEGs of which 60 encoded various transcription factor families, 14 were associated with jasmonate and auxin signaling, 10 encoded heat shock proteins, 13 were related with calcium signaling and 2 encoded clavata3/embryo surrounding region-related (CLE) signaling peptides (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;11</bold>
</xref>). qPCR analyses were then performed on a selected nine genes to validate the RNA-Seq data and to evaluate their expression patterns in response to cold stress in &#x201c;Micro-Tom&#x201d; and &#x201c;Moneymaker&#x201d; tomatoes. In both cultivars, transcripts of <italic>SlERF13</italic>, <italic>SlNAC22</italic>, <italic>SlHSP</italic>, <italic>SlMADS43</italic>, <italic>SlJAZ2</italic>, <italic>SlBEL3</italic> and <italic>SlCLE2</italic> increased dramatically, while those of <italic>SlPIF3</italic> decreased during storage at 5&#xb0;C regardless of 1-MCP treatment; changes at 20&#xb0;C were insignificant (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>). Transcript levels in fruits at 5&#xb0;C also dropped following transfer to 20&#xb0;C. However, while <italic>SlCBF2</italic> transcripts increased during storage at both 5 and 20&#xb0;C in &#x201c;Micro-Tom&#x201d; fruits (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7A</bold>
</xref>), increased expression levels were registered only at 5&#xb0;C in &#x201c;Moneymaker&#x201d; fruits especially after 14 d (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7B</bold>
</xref>).</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Expression patterns of genes encoding various transcription factors, chaperones and signaling peptides. <bold>(A)</bold>. RT-qPCR analysis in mature green &#x201c;Micro-Tom&#x201d; tomato fruits. <bold>(B)</bold> RT-qPCR analysis in mature green &#x201c;Moneymaker&#x201d; tomato fruits. Expression values are relative to the value at harvest (0 d) and the housekeeping gene was <italic>SlActin</italic>. Values in brackets on the horizontal axis in B indicate number of days at 5&#xb0;C + 7 days of rewarming at 20&#xb0;C. Datapoints indicate means (&#xb1; SE) of three replicate fruits. Different letters indicate significant differences in ANOVA (Tukey&#x2019;s test, <italic>P</italic> &lt; 0.05) <italic>SlERF13</italic> (<italic>Solyc10g076370</italic>), <italic>SlNAC22</italic> (<italic>Solyc09g025310</italic>), <italic>SlHSP</italic> (<italic>Solyc06g054150</italic>), <italic>SlPIF3</italic> (<italic>Solyc01g102300</italic>), <italic>SlMADS43</italic> (<italic>Solyc05g013370</italic>), <italic>SlJAZ2</italic> (<italic>Solyc12g009220</italic>), <italic>SlBEL3</italic> (<italic>Solyc04g080790</italic>), <italic>SlCBF2</italic> (<italic>Solyc03g124110</italic>) and <italic>SlCLE2</italic> (<italic>Solyc01g098890</italic>).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1227349-g007.tif"/>
</fig>
</sec>
<sec id="s3_8">
<label>3.8</label>
<title>Transcripts associated with epigenetic modifications</title>
<p>The finding that &#x2018;NcRNA metabolism&#x2019; was one of the highly enriched GO terms among module IX DEGs (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2C</bold>
</xref>) prompted us to also look into the expression patterns of genes associated with epigenetic modifications. Out of the 20 genes that we identified, 12 were associated with DNA methylation while 8 were associated with chromatin formation/remodeling (<xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8A</bold>
</xref>). Among the DNA methylation-related genes, 6 encoded short interfering RNA-producing dicer-like enzymes of which 4 were upregulated while 2 were downregulated only during storage at 5&#xb0;C for 14 d regardless of 1-MCP treatments. Interestingly, we also found 2 genes that encode RNA-directed DNA methylation 1 (RDM1) protein; <italic>SlRDM1-like 1</italic> (<italic>Solyc10g045190</italic>) was slightly downregulated while <italic>SlRDM1-like 2</italic> (<italic>Solyc09g082480</italic>) was highly upregulated in both 1-MCP-treated and non-treated fruits after 14 d at 5&#xb0;C. For the genes associated with chromatin formation/remodeling, 5 were upregulated while only 3 were downregulated in both 1-MCP-treated and non-treated fruits after 14 d at 5&#xb0;C. All of these genes (both DNA methylation- and chromatin formation/remodeling-associated) showed insignificant expression changes during storage at 20&#xb0;C and the expression changes induced at 5&#xb0;C were reversed when fruit were rewarmed to 20&#xb0;C.</p>
<fig id="f8" position="float">
<label>Figure&#xa0;8</label>
<caption>
<p>Expression patterns of genes associated with epigenetic modifications. <bold>(A)</bold> Heatmap of DEGs associated with DNA methylation and chromatin formation/remodelling in mature green &#x201c;Micro-Tom&#x201d; tomato fruits at the indicated storage temperatures and duration. <bold>(B)</bold> RT-qPCR analysis of selected genes (indicated by black arrow in <bold>A</bold>) in mature green &#x201c;Micro-Tom&#x201d; tomato fruits. <bold>(C)</bold> RT-qPCR analysis in mature green &#x201c;Moneymaker&#x201d; tomato fruits. Expression values are relative to the value at harvest (0 d) and the housekeeping gene was <italic>SlActin</italic>. Values in brackets on the horizontal axis in <bold>(C)</bold> indicate number of days at 5&#xb0;C + 7 days of rewarming at 20&#xb0;C. Datapoints indicate means (&#xb1; SE) of three replicate fruits. Different letters indicate significant differences in ANOVA (Tukey&#x2019;s test, <italic>P</italic> &lt; 0.05).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1227349-g008.tif"/>
</fig>
<p>We then selected three genes which showed high and clear expression changes based on their TPM values, that is <italic>SlRDM1-like 2</italic>, <italic>dicer-like 2d</italic> (<italic>SlDCL2d</italic>, <italic>Solyc11g008530</italic>) and <italic>chromodomain helicase 9 (CHD9)-like</italic> (<italic>SlCHD9-like</italic>, <italic>Solyc04g074680</italic>), for further analysis by qPCR. In addition, we also examined the expression of <italic>Demeter-like 2</italic> (<italic>SlDML2</italic>, <italic>Solyc10g083630</italic>) which is associated with active DNA demethylation in tomatoes (<xref ref-type="bibr" rid="B28">Lang et&#xa0;al., 2017</xref>). In both &#x201c;Micro-Tom&#x201d; and &#x201c;Moneymaker&#x201d; tomatoes, <italic>SlDML2</italic> transcripts increased significantly during storage at 20&#xb0;C and peaked after 7 d, but this increase was inhibited in 1-MCP-treated fruits (<xref ref-type="fig" rid="f8">
<bold>Figures&#xa0;8B, C</bold>
</xref>). However, the expression of <italic>SlDML2</italic> did not change significantly during storage at 5&#xb0;C, but increases were observed only after rewarming at 20&#xb0;C. Transcripts of <italic>SlRDM1-like 2</italic>, <italic>SlDCL2d</italic>, and <italic>SlCHD9-like</italic> showed little or no significant changes during storage at 20&#xb0;C, but they accumulated highly during storage at 5&#xb0;C irrespective of 1-MCP treatments (<xref ref-type="fig" rid="f8">
<bold>Figures&#xa0;8B, C</bold>
</xref>). The increased expression registered at 5&#xb0;C was reversed within 1 d (in &#x201c;Micro-Tom&#x201d; fruits) and after 7 d (in &#x201c;Moneymaker&#x201d; fruits) of rewarming at 20&#xb0;C.</p>
<p>After examining gene expression patterns, we determined the involvement of DNA methylation in cold response and CI development in &#x201c;Moneymaker&#x201d; fruits using 5-azacytidine, an inhibitor of DNA methylation (<xref ref-type="bibr" rid="B17">Huang et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B66">Zhu et&#xa0;al., 2020</xref>) and McrBC, a restriction enzyme that cuts methylated DNA. Fruits injected with 5-azacytidine developed relatively severe symptoms (dark spots on the skin and darkening of columella) compared to those injected with distilled water (mock) (<xref ref-type="fig" rid="f9">
<bold>Figure&#xa0;9A</bold>
</xref>). Furthermore, fruits injected with 5-azacytidine were generally firmer at the end of cold storage than mock fruits (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;2</bold>
</xref>). We then assayed the DNA methylation levels of <italic>SlDML2</italic> and <italic>SlRDM1-like 2</italic> using McrBC-qPCR analysis. Genomic DNA was first extracted from the pericarp of fruits stored at either 5&#xb0;C or 20&#xb0;C for 7 d and then digested with McrBC before performing qPCR using both digested and undigested DNA as templates. Results revealed that methylation levels of both <italic>SlDML2</italic> and <italic>SlRDM1-like 2</italic> were higher in samples at 5&#xb0;C than at 20&#xb0;C, and treatment with 5-azacytidine significantly lowered the methylation levels at 5&#xb0;C with respect to mock samples (<xref ref-type="fig" rid="f9">
<bold>Figure&#xa0;9B</bold>
</xref>). To further investigate the influence of 5-azacytidine treatment on gene expression, we examined the transcript levels of 4 genes induced by low temperature alone which we previously identified by RNA-Seq analysis. As shown in <xref ref-type="fig" rid="f9">
<bold>Figure&#xa0;9C</bold>
</xref>, 5-azacytidine treatment decreased the expression of <italic>SlRDM1-like 2</italic>, <italic>SlCBF2</italic>, and <italic>SlAOX1a</italic> only after 7 d. However, it is intriguing that the inhibitor completely decreased the expression of <italic>SlERF13</italic> throughout the 21 d of storage at 5&#xb0;C (<xref ref-type="fig" rid="f9">
<bold>Figure&#xa0;9C</bold>
</xref>). These results show that DNA methylation has an important role in cold responses and CI development in tomato fruits.</p>
<fig id="f9" position="float">
<label>Figure&#xa0;9</label>
<caption>
<p>The importance of DNA methylation in cold response and chilling injury development in tomato fruit. <bold>(A)</bold> Images of &#x201c;Moneymaker&#x201d; tomato fruits that were treated with the DNA methylation inhibitor, 5-Azacytidine (5-Aza) or mock (distilled water) during storage at 5&#xb0;C for 21 d followed by 7 d holding at 20&#xb0;C. White horizontal bars indicate 1cm. <bold>(B)</bold> DNA methylation levels of <italic>SlDML2</italic> and <italic>SlRDM1-like 2</italic>. McrBC-qPCR analysis was carried out in fruits stored at 5&#xb0;C or 20&#xb0;C for 7 d, as well as in mock or 5-Aza-treated samples after 7 d at 5&#xb0;C. McrBC digests methylated DNA, thus higher McrBC-qPCR signals indicate higher Ct values and hence higher methylation levels. Asterisks indicate significant differences (<italic>P</italic> &lt; 0.05) <bold>(C)</bold> RT-qPCR analysis of selected low temperature-upregulated genes in mock and 5-Aza-treated samples during storage at 5&#xb0;C for the indicated times. Expression values are relative to the value at harvest (0 d) and the housekeeping gene was <italic>SlActin</italic>. Datapoints indicate means (&#xb1; SE) of three replicate fruit. Different letters indicate significant differences in ANOVA (Tukey&#x2019;s test, <italic>P</italic> &lt; 0.05).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1227349-g009.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>Cold stress responses and the underlying mechanisms have been well deliberated in the vegetative plant organs (<xref ref-type="bibr" rid="B22">Kidokoro et&#xa0;al., 2022</xref>), but conclusions from these studies cannot be directly extrapolated to fruits partly because ripening responses cloud our view. In this work, cold stress studies were performed in tomato fruits at the mature green stage to avoid the effects of autocatalytic ethylene (system II ethylene), which is produced at later maturity stages and largely controls fruit ripening. Additionally, treatments with 1-MCP were done regularly during cold storage to inhibit any probable effects of system I ethylene. Ultimately, we show by RNA-Seq analysis that low temperature triggers defined transcriptional adjustments, including those associated with epigenetic modifications, NcRNA metabolism, ribosome biogenesis, proteosome, alternative splicing and a certain set of transcription factors, which are clearly distinct from fruit ripening-related changes.</p>
<p>Tomatoes are typical climacteric fruits and thus ripening-associated are largely regulated by the phytohormone ethylene (<xref ref-type="bibr" rid="B30">Li et&#xa0;al., 2019</xref>). Ethylene-controlled ripening responses are completely inhibited by 1-MCP (<xref ref-type="bibr" rid="B61">Watkins, 2006</xref>), a synthetic chemical that boasts a competitive edge over ethylene for receptor binding sites (<xref ref-type="bibr" rid="B6">Blankenship and Dole, 2003</xref>). In agreement with these previous findings, our results show that peel color changes from green to red, which occurred in non-treated tomato fruits during storage at 20&#xb0;C (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1A, C</bold>
</xref>), were accompanied by a sharp increase in ethylene production rates (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1D</bold>
</xref>; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;1</bold>
</xref>). These changes were strongly inhibited in the 1-MCP-treated fruits. Recovery of ethylene sensitivity and fruit ripening following 1-MCP treatment, likely due to ethylene receptor turnover, has been reported previously (<xref ref-type="bibr" rid="B61">Watkins, 2006</xref>). The recovery periods vary depending on fruit species but in tomatoes, <xref ref-type="bibr" rid="B42">Opiyo and Ying (2005)</xref> demonstrated that it occurs 2 d after treatment with 1-MCP. In the present study, 1-MCP treatments were carried out 2&#x2013;3 times per week to overcome possible recovery and hence keep the fruits insensitive to ethylene throughout the experimental duration. As a result, fruit ripening was completely inhibited during the first 14 d (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>), and even though ethylene production rates increased afterwards, the fruits remained yellow and failed to attain the red ripe stage throughout the 35-d storage period. The role of ethylene in fruit ripening and the inhibitory effect of 1-MCP are further confirmed by the identification of module VI genes by RNA-Seq analysis. Precisely, module VI genes were up- or down-regulated at 20&#xb0;C (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>) in the presence of large ethylene amounts (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1D</bold>
</xref>), showed insignificant changes at 5&#xb0;C, and comprised well-known fruit ripening regulators such as <italic>SlRIN</italic>, <italic>SlNOR</italic>, and <italic>SlCNR</italic> (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). 1-MCP treatments also abolished these expression changes at 20&#xb0;C, confirming that the genes were under ethylene regulation. Interestingly, <italic>SlSGR</italic> (<italic>Solyc12g056480</italic>) failed to respond to ethylene (at 20&#xb0;C), but its transcript levels increased appreciably at 5&#xb0;C (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>), indicating that it is regulated by low temperature most likely in an ethylene-independent manner. This finding agrees with our previous findings in lemons (<xref ref-type="bibr" rid="B38">Mitalo et&#xa0;al., 2020</xref>), Satsuma mandarins (<xref ref-type="bibr" rid="B37">Mitalo et&#xa0;al., 2022</xref>), and kiwifruits (<xref ref-type="bibr" rid="B39">Mitalo et&#xa0;al., 2019a</xref>), where we demonstrated that the expression of certain fruit ripening-associated genes is modulated by low temperature independently of ethylene.</p>
<p>Like other cold sensitive crops, tomatoes develop CI symptoms when stored at sub-optimum low temperatures (&lt; 10&#xb0;C). Common CI symptoms, including impaired or blotchy ripening, surface pitting and decay, often occur during rewarming after cold storage (<xref ref-type="bibr" rid="B5">Biswas et&#xa0;al., 2016</xref>). In the present study, both &#x201c;Micro-Tom&#x201d; and &#x201c;Moneymaker&#x201d; fruits also showed CI symptoms during rewarming at 20&#xb0;C following storage at 5&#xb0;C (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1B, E, F</bold>
</xref>; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;1</bold>
</xref>), regardless of whether ethylene signaling was inhibited (by 1-MCP treatment) or not. RNA-Seq analysis revealed that cold stress causes a greater transcriptome response than fruit ripening, as the expression of more genes was altered after 14 d at 5&#xb0;C (8,406) than at 20&#xb0;C (4,814) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). It is however intriguing that 3,244 genes (in module IX) showed insignificant expression changes at 20&#xb0;C, but they were differentially expressed at 5&#xb0;C (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>), which implied that they responded to a low temperature stimulus. Furthermore, the observation that repeated 1-MCP treatments failed to inhibit their expression at 5&#xb0;C, indicated that their regulation by low temperature is independent of ethylene signaling. It is noteworthy that the expression of a considerable number of genes which are associated with oxidative damage, an indirect outcome of cold stress and abiotic stress in general, was also triggered uniquely by low temperature (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). Transcripts of <italic>SlAOX1a</italic> and several <italic>SlPOXs</italic> were also previously shown to accumulate in tomato fruits during cold storage (<xref ref-type="bibr" rid="B10">Cruz-Mend&#xed;vil et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B1">Albornoz et&#xa0;al., 2019</xref>). However, the present study is the first time we are demonstrating that several of these redox genes respond uniquely to cold stress. Furthermore, the existence of low temperature-induced and ethylene-independent gene expression has been previously reported in kiwifruits (<xref ref-type="bibr" rid="B39">Mitalo et&#xa0;al., 2019a</xref>), &#x201c;Passe Crassane&#x201d; pears (<xref ref-type="bibr" rid="B40">Mitalo et&#xa0;al., 2019b</xref>), and some citrus fruit species (<xref ref-type="bibr" rid="B38">Mitalo et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B37">Mitalo et&#xa0;al., 2022</xref>), but to the best of our knowledge, this study is the first report of such a phenomenon in tomato fruits.</p>
<p>We then used GO and KEGG pathway enrichment analysis to identify molecular processes that are uniquely triggered by cold stress in tomato fruits. The results pointed out that ribosome biogenesis, proteasome, spliceosome and regulation of gene expression are relevant processes (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2C, D</bold>
</xref>, <xref ref-type="fig" rid="f5">
<bold>5</bold>
</xref>, <xref ref-type="fig" rid="f6">
<bold>6</bold>
</xref>). A notable member of the ribosome biogenesis group was <italic>SlZFP622/REIL1</italic> (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5C</bold>
</xref>), while <italic>SlSmEb</italic> stood out among the spliceosome genes (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6C</bold>
</xref>). In Arabidopsis, <italic>AtREIL2</italic> encodes a cytosolic ribosomal 60S-biogenesis factor which was shown to activate the biosynthesis of specialized ribosomes during cold acclimation (<xref ref-type="bibr" rid="B47">Schmidt et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B8">Cheong et&#xa0;al., 2021</xref>), whereas AtSmEb was recently shown to control the splicing of pre-mRNAs during chilling stress (<xref ref-type="bibr" rid="B60">Wang et&#xa0;al., 2022</xref>). An understanding of why these genes are activated in tomato fruits under cold stress, yet the fruits still develop CI symptoms requires further research. The global transcriptome analysis revealed, moreover, that several genes encoding transcription factors, chaperones, hormone signaling, and small signaling peptides are induced uniquely by cold stress in tomato fruits (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;11</bold>
</xref>). Furthermore, qPCR analysis confirmed their low temperature-specific responsiveness (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>), as their induction was swiftly and consistently reversed upon rewarming of the fruits. Orthologs of some of these genes, including <italic>SlPIF3</italic>, <italic>SlJAZ2</italic> and <italic>SlERF13</italic>, have been linked with cold tolerance in leaves of other plant species (<xref ref-type="bibr" rid="B19">Jiang et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B31">Li et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B33">Lv et&#xa0;al., 2020</xref>). However, the others have not been reported previously even though several CLE peptides have been linked with various abiotic stresses in plants (<xref ref-type="bibr" rid="B23">Kim et&#xa0;al., 2021</xref>). It is also worth mentioning that <italic>SlCBF2</italic> showed a clearly cold-specific expression pattern in &#x201c;Moneymaker&#x201d; fruits (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7B</bold>
</xref>), but in &#x201c;Micro-Tom&#x201d; fruits, it was induced by both ethylene and cold stress (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7A</bold>
</xref>). The reason for this discrepancy cannot be expounded in this study, as both cultivars displayed CI symptoms at almost the same degree. However, it could be an indicator of minor cultivar differences in terms of the regulation of cold responsive genes.</p>
<p>Epigenetic regulation has been associated with plant responses to a broad range of stresses, including cold stress (<xref ref-type="bibr" rid="B24">Kim et&#xa0;al., 2015</xref>). In this respect, <xref ref-type="bibr" rid="B65">Zhang et&#xa0;al. (2016)</xref> demonstrated that cold stress triggers an increase in DNA methylation in red ripe tomatoes, which significantly affects the expression patterns of various ripening-related genes. In the present study, RNA-Seq analysis underscored the relevance of epigenetic modifications in cold-specific responses in tomato fruits. A considerable number of genes involved in <italic>de novo</italic> DNA methylation and chromatin formation/remodeling were up- or down-regulated at 5&#xb0;C with ethylene signaling having little or no significant effect on their expression (<xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8</bold>
</xref>), while expression changes at 20&#xb0;C were also minimal. Notable among these genes was <italic>SlRDM1-like 2</italic>, whose loss-of-function mutations in Arabidopsis showed reduced DNA methylation together with impaired accumulation of 24-nt short-interfering RNAs (<xref ref-type="bibr" rid="B12">Gao et&#xa0;al., 2010</xref>). Another major change was the exclusive accumulation of transcripts related with dicer-like enzymes, particularly <italic>SlDCL2d</italic>, during storage at 5&#xb0;C (<xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8</bold>
</xref>). <italic>SlDCL2s</italic> have been widely studied in terms of plant defense against viral pathogens (<xref ref-type="bibr" rid="B59">Wang et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B53">Suzuki et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B2">Alcaide et&#xa0;al., 2022</xref>). <xref ref-type="bibr" rid="B18">Hunter et&#xa0;al. (2021)</xref> also demonstrated that transcripts of both <italic>SlDCL2b</italic> and <italic>SlDCL2d</italic> accumulated to a great degree in ripe cherry tomato fruits during cold storage, but our present study is the first to show that this accumulation is unique to cold stress and is independent of ethylene signaling. Treatment of mature green tomato fruit with the DNA methylation inhibitor, 5-azacytidine, confirmed the existence of cold stress-induced methylation dynamics and its influence on gene expression (<xref ref-type="fig" rid="f9">
<bold>Figure&#xa0;9</bold>
</xref>). While 5-azacytidine effects are more pronounced in actively dividing cells (<xref ref-type="bibr" rid="B20">Jones and Taylor, 1980</xref>), recent reports have demonstrated the effectiveness of the chemical in studying methylation dynamics even in mature fruits having non-dividing cells (<xref ref-type="bibr" rid="B17">Huang et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B66">Zhu et&#xa0;al., 2020</xref>). Nevertheless, one of the major limitations of using 5-azacytidine is that it induces cytotoxicity. In the present study, we did not detect toxicity symptoms in 5-azacytidine-treated fruits at 20&#xb0;C for up to 14 d (data not shown), but at 5&#xb0;C treated fruits appeared to exhibit severe ripening inhibition symptoms than mock fruits. It is therefore possible that a complex interaction between cold stress and 5-azacytidine and this needs to be studied further. All in all, further research is required to understand the role and involvement of the cold-specific <italic>SlRDM1-like 2</italic> as well as <italic>SlDCLs</italic> in <italic>de novo</italic> DNA methylation (as shown in <xref ref-type="fig" rid="f9">
<bold>Figure&#xa0;9</bold>
</xref>) and RNA silencing mechanisms during cold responses and CI development in tomato fruits.</p>
<p>A diverse number of genes have been shown to be likely involved in cold tolerance in tomato plants. However, although it was demonstrated that <italic>LeGPA1</italic> and <italic>LeCOR413PM2</italic> are induced by cold stress in tomato leaves (<xref ref-type="bibr" rid="B16">Guo et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B64">Zhang et&#xa0;al., 2021</xref>), both genes were downregulated with no cold-specific expression in the fruit pericarp samples analyzed in the present study. A possible explanation is that cold stress-induced gene expression can differ due to variations in tissue-specific physiological and developmental responses, as previously reported in tomato (<xref ref-type="bibr" rid="B62">Weiss and Egea-Cortines, 2009</xref>), as well as other plant species (<xref ref-type="bibr" rid="B46">Sanchez-Ballesta et&#xa0;al., 2004</xref>; <xref ref-type="bibr" rid="B63">Xin et&#xa0;al., 2019</xref>). In the present study, most of the cold-specific genes identified in the fruits showed similar expression patterns in the leaves (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;3</bold>
</xref>), suggesting their involvement in cold responses in both tissues.</p>
<p>In conclusion, we have utilized RNA-Seq analysis to pinpoint the transcriptional dynamics triggered by cold stress in tomato fruits, particularly those which are clearly distinct from ethylene signaling (and by extension, fruit ripening)-mediated ones. We have further demonstrated the likely involvement of <italic>de novo</italic> DNA methylation in the regulation of these cold-specific transcriptional changes. Other cold-specific transcriptional adjustments like the spliceosome, ribosome biogenesis, peptide biosynthesis and proteasomal catabolism point towards a strong re-alignment to alter the protein composition of tomato fruit cells in response to cold stress. These changes present potential regulators and players in the regulatory network for cold stress sensing and signaling pathways in fruits. Furthermore, considering that these changes do not occur during normal fruit ripening (at 20&#xb0;C), the genes identified in the present study will encourage further research on genetic improvement of cold tolerance and CI reduction, without having to worry about undesirable effects on fruit ripening.</p>
</sec>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>The data presented in the study are deposited in the DNA Data Bank of Japan (DDBJ) repository, accession numbers DRR461198-DRR461224.</p>
</sec>
<sec id="s6" sec-type="author-contributions">
<title>Author contributions</title>
<p>OM, HE, and YK conceived and designed the study. OM did most of the experiments with close supervision from HE, TA, and SK. LT provided technical assistance especially with growing of plants and data analysis. OM wrote the first draft of the manuscript which was substantially improved by all authors. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec id="s7" sec-type="funding-information">
<title>Funding</title>
<p>This study was supported by a Grant-in-Aid for JSPS Fellows (grant no. 21F21400) to OM by the Japan Society for the Promotion of Science, Japan (JSPS).</p>
</sec>
<sec id="s8" sec-type="COI-statement">
<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 id="s9" sec-type="disclaimer">
<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>
</sec>
<sec id="s10" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fpls.2023.1227349/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpls.2023.1227349/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet_1.zip" id="SM1" mimetype="application/zip"/>
</sec>
<fn-group>
<fn id="fn1">
<label>1</label>
<p>
<ext-link ext-link-type="uri" xlink:href="https://usegalaxy.org/">https://usegalaxy.org/</ext-link>
</p>
</fn>
<fn id="fn2">
<label>2</label>
<p>
<ext-link ext-link-type="uri" xlink:href="http://bioinfo.ut.ee/primer3-0.4.0/">http://bioinfo.ut.ee/primer3-0.4.0/</ext-link>
</p>
</fn>
<fn id="fn3">
<label>3</label>
<p>
<ext-link ext-link-type="uri" xlink:href="http://www.r-project.org">www.r-project.org</ext-link>
</p>
</fn>
</fn-group>
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