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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Microbiol.</journal-id>
<journal-title>Frontiers in Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">1664-302X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmicb.2024.1485275</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Microbiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Integrating spore trapping technology with loop-mediated isothermal amplification assay for surveillance and sustainable management of rice false smut disease</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Arumugam Gopalakrishnan</surname> <given-names>Meena</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Chellappan</surname> <given-names>Gopalakrishnan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<contrib contrib-type="author">
<name><surname>Ayyanar</surname> <given-names>Kamalakannan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Ramasamy</surname> <given-names>Jagadeeswaran</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>Santhosh Ganapati</surname> <given-names>Patil</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name><surname>Nagaranai Karuppasamy</surname> <given-names>Sathyamoorthy</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>Department of Plant Pathology, Tamil Nadu Agricultural University</institution>, <addr-line>Coimbatore</addr-line>, <country>India</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of RS and GIS, Tamil Nadu Agricultural University</institution>, <addr-line>Coimbatore</addr-line>, <country>India</country></aff>
<aff id="aff3"><sup>3</sup><institution>Agricultural Statistics, Tamil Nadu Agricultural University</institution>, <addr-line>Coimbatore</addr-line>, <country>India</country></aff>
<aff id="aff4"><sup>4</sup><institution>Agro Climate Research Centre (ACRC), Tamil Nadu Agricultural University</institution>, <addr-line>Coimbatore</addr-line>, <country>India</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: Md. Motaher Hossain, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Bangladesh</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: Mehi Lal, ICAR-Central Potato Research Institute, Regional Station, India</p>
<p>Ani Widiastuti, Gadjah Mada University, Indonesia</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Gopalakrishnan Chellappan, <email>pcgopalagri@gmail.com</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>04</day>
<month>12</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1485275</elocation-id>
<history>
<date date-type="received">
<day>03</day>
<month>09</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>30</day>
<month>10</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2024 Arumugam Gopalakrishnan, Chellappan, Ayyanar, Ramasamy, Santhosh Ganapati and Nagaranai Karuppasamy.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Arumugam Gopalakrishnan, Chellappan, Ayyanar, Ramasamy, Santhosh Ganapati and Nagaranai Karuppasamy</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>Rice (<italic>Oryza sativa</italic> L.) is a vital crop feeding more than half of the world&#x2019;s population, with production occurring predominantly in Asian countries. However, rice cultivation faces challenges from various fronts, including biotic stresses intensified by climate change. False smut, caused by <italic>Ustilaginoidea virens</italic>, has emerged as a significant threat to rice production globally. The application of curative fungicides after symptom appearance has limited scope in managing this disease since the infection process usually starts during the early flowering stage of rice crops. This study investigates the utilization of spore-trapping technology coupled with Loop-Mediated Isothermal Amplification (LAMP) assay for monitoring airborne <italic>U. virens</italic> inocula in rice fields. For early detection and quantification of <italic>U. virens</italic>, sampling rods coated with silicone grease were deployed to collect airborne spores, and DNA extraction was performed using a modified method. Both PCR and LAMP assays were employed for detection, with LAMP offering advantages of rapidity, sensitivity, and simplicity. The study demonstrated the superior sensitivity of LAMP compared to PCR, detecting <italic>U. virens</italic> DNA at concentrations as low as 100&#x202F;femtograms. Continuous monitoring of <italic>U. virens</italic> inoculum using spore trapping revealed the spatio-temporal dynamics of <italic>U. virens</italic> dispersal, providing valuable insights for disease management. Implementing a fungicidal application schedule based on airborne inoculum detection led to significant reductions in both false smut incidence and severity and improved crop yield. The meteorological parameters including minimum temperature, relative humidity in the morning and evening, sunshine, and solar radiation were found to be correlated with disease incidence. Multi-operator validation confirmed the robustness and specificity of the LAMP assay. Overall, this integrated approach offers a proactive strategy for monitoring and managing false smut disease, enhancing sustainable rice production and food security.</p>
</abstract>
<kwd-group>
<kwd>spore trap</kwd>
<kwd>false smut</kwd>
<kwd>LAMP</kwd>
<kwd>rice</kwd>
<kwd>PCR</kwd>
<kwd><italic>Ustilaginoidea virens</italic></kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="4"/>
<equation-count count="1"/>
<ref-count count="36"/>
<page-count count="9"/>
<word-count count="6175"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Microbe and Virus Interactions with Plants</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<title>Introduction</title>
<p>Rice (<italic>Oryza sativa</italic> L.) is prominent in global agriculture and feeds more than half the world&#x2019;s population. Rice is grown in more than 100 countries, with the majority of production in Asian countries. The USA is also a significant producer of rice, with an estimated production of 11 million metric tons in 2022 (<xref ref-type="bibr" rid="ref29">USDA, 2023</xref>). However, rice production is hampered by various factors, especially the biotic stress related to climate change. It has been observed that old, historically minor diseases are emerging with high vigor due to climate change. False smut was first reported in India in 1878, and currently, it is prevailing in 6 continents and 59 countries, including Asia, tropical Africa, Australia, Oceania, Europe, and America (<xref ref-type="bibr" rid="ref14">Khanal et al.,2023</xref>; <xref ref-type="bibr" rid="ref8">Dangi et al.,2020</xref>). Rice false smut spreads through airborne spores and infects the crop mainly during the booting stage, where individual grain transforms into velvety spores or yellow smut balls. It decreases the grain quality and increases chaffy grain production. False smut not only leads to yield loss but also produces toxins inhibiting/causing abnormal cell mitosis in humans and animals (<xref ref-type="bibr" rid="ref31">Yang et al., 2022</xref>). After noticing initial symptoms, curative sprays of fungicides were ineffective against rice false smut since the infection process occurs during the early flowering stage (<xref ref-type="bibr" rid="ref21">Narinder and Singh, 1989</xref>; <xref ref-type="bibr" rid="ref28">Thurston, 1990</xref>). Hence, the effective management of this pathogen requires a thorough understanding of its dispersal dynamics, particularly the airborne inocula that serve as primary sources of infection. Traditional methods of disease monitoring often lack the temporal and spatial resolution needed to track <italic>U. virens</italic> dispersal accurately. However, recent advancements in spore trapping technology offer a promising avenue for studying the airborne dispersal of fungal pathogens in agricultural environments.</p>
<p>Although spore trap samples could be analyzed using a simple microscope, they are laborious and require a skilled professional (<xref ref-type="bibr" rid="ref11">Gowrisri et al., 2019</xref>). To overcome these issues, different molecular techniques, such as polymerase chain amplification (PCR), can be used based on reliability and specificity for the detection and quantification of <italic>U. virens</italic>. Though PCR is considered one of the standard and reliable detection methods, it requires a thermal cycler, and the amplification was further confirmed only by gel electrophoresis, apart from the presence of PCR inhibitors in plant samples. Alternatively, the Loop-Mediated Isothermal Amplification (LAMP) assay developed by <xref ref-type="bibr" rid="ref22">Notomi et al. (2000)</xref> was found to be an alternative to PCR as it works under isothermal conditions, making it ideal for onsite/infield applications. LAMP uses three sets of primers. Hence, they are highly specific and sensitive techniques and visible detection can be made in a short period (30&#x2013;60&#x202F;min; <xref ref-type="bibr" rid="ref18">Logeshwari et al., 2022</xref>). Application of LAMP can be extended for early detection of plant pathogens such as fungi, bacteria, viruses, and phytoplasma (<xref ref-type="bibr" rid="ref23">Prasannakumar et al.,2021</xref>; <xref ref-type="bibr" rid="ref1">Azizi et al., 2022</xref>; <xref ref-type="bibr" rid="ref25">Rafiq et al., 2021</xref>). The present study attempted to utilize a spore trapping technique coupled with the LAMP assay to track and quantify the airborne inocula of <italic>U. virens</italic> with the ultimate goal of devising targeted and effective disease management strategies.</p>
</sec>
<sec sec-type="materials|methods" id="sec2">
<title>Materials and methods</title>
<sec id="sec3">
<title>Spore trap and sampling rod preparation</title>
<p>This study used a modified low-cost impaction spore trap designed by <xref ref-type="bibr" rid="ref6">Chandrasekar (2022)</xref>. The trap consists of a photovoltaic module, 12&#x202F;V DC, 300 RPM gear motor, 6,000&#x202F;mAh Li-ion battery, solar panel, metallic sampling rods, rotating arm, and steel stand (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Solar power operated impaction spore trap. <bold>(A)</bold> Layout of impaction spore trap. a: Solar panel (18V); b: Tilt angular cum panel holder; c: Battery (6V); d: On/Off switch; e: G.I pipe; f: Coupling; g: Height adjuster screw; h: Wire (connecting solar panel&#x2014;battery-motor); i: L rod (motor holder); j: iron plate attached to L rod; k: Plastic causing; l: DC motor (12 V); m: Sampling arm; n: Sampling rods. <bold>(B)</bold> A solar operated impaction spore trap deployed at Paddy Breeding Station, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu.</p>
</caption>
<graphic xlink:href="fmicb-15-1485275-g001.tif"/>
</fig>
<p>Sampling rods designed for capturing airborne particles were crafted from 60-mm long and 3&#x202F;mm-wide stainless steel, following the method outlined by <xref ref-type="bibr" rid="ref27">Thiessen et al. (2018)</xref> with slight modifications. These rods were sterilized and coated with silicone vacuum grease, and then fixed to the rotary arm of the spore trap for sampling.</p>
</sec>
<sec id="sec4">
<title>A spore trap was set up in the field</title>
<p>The trap was set up at Paddy Breeding Station, Coimbatore, Tamil Nadu, India (Latitude 11.0068 &#x00B0;N, Longitude 79.9242 &#x00B0;E) with an average rainfall of 670&#x202F;mm per year. Geographically, it is located at an elevation of 426.72&#x202F;m, with an average annual minimum temperature of 22&#x00B0;C and a maximum temperature of 33&#x00B0;C for the year 2021 (<xref ref-type="bibr" rid="ref9001">Indian Meteorological Department official website, 2021</xref>, <ext-link xlink:href="https://mausam.imd.gov.in/imd" ext-link-type="uri">https://mausam.imd.gov.in/imd</ext-link>). The paddy variety Co-39, which is susceptible to false smut, was grown in the nursery, and the 20-day-old seedlings were transplanted in the main field with a spacing of 20&#x202F;&#x00D7;&#x202F;15&#x202F;cm. The spore trap was operated continuously from transplanting to the harvesting stage of rice crops from the 45th Standard meteorological week of 2023 to the 6<sup>th</sup> Standard meteorological week of 2024. Sampling rods were collected aseptically from the trap using sterile containers on a weekly basis, with two rods collected each week and replaced with sterilized rods freshly coated with grease.</p>
</sec>
<sec id="sec5">
<title>Microscopic observation</title>
<p>The temporary mounts were prepared by gentle scraping of airborne inocula adhered to the grease of sampling rods collected from the spore trap fixed under field conditions and observed under 40x magnification in a phase contrast microscope for observing false smut conidia. The presence and absence of inocula are mentioned by the + or &#x2212; sign (<xref ref-type="table" rid="tab1">Table 1</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Detection of <italic>U. virens</italic> using spore trap.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle" rowspan="2">S. No</th>
<th align="center" valign="middle" rowspan="2">SMW</th>
<th align="center" valign="middle" rowspan="2">Microscopic observation</th>
<th align="center" valign="middle" rowspan="2">PCR</th>
<th align="center" valign="middle" rowspan="2">LAMP assay</th>
<th align="center" valign="middle" colspan="3">PDI calculated for the treatments (%)</th>
</tr>
<tr>
<th align="center" valign="middle">T<sub>2</sub></th>
<th align="center" valign="middle">T<sub>1</sub></th>
<th align="center" valign="middle">T<sub>3</sub></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">1.</td>
<td align="center" valign="top">45<sup>th</sup></td>
<td align="center" valign="top">&#x2212;</td>
<td align="center" valign="top">&#x2212;</td>
<td align="center" valign="top">&#x2212;</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">2.</td>
<td align="center" valign="top">46<sup>th</sup></td>
<td align="center" valign="top">&#x2212;</td>
<td align="center" valign="top">&#x2212;</td>
<td align="center" valign="top">&#x2212;</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">3.</td>
<td align="center" valign="top">47<sup>th</sup></td>
<td align="center" valign="top">&#x2212;</td>
<td align="center" valign="top">&#x2212;</td>
<td align="center" valign="top">&#x2212;</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">4.</td>
<td align="center" valign="top">48<sup>th</sup></td>
<td align="center" valign="top">+</td>
<td align="center" valign="top">&#x2212;</td>
<td align="center" valign="top">+</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">5.</td>
<td align="center" valign="top">49<sup>th</sup></td>
<td align="center" valign="top">+</td>
<td align="center" valign="top">&#x2212;</td>
<td align="center" valign="top">+</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">6.</td>
<td align="center" valign="top">50<sup>th</sup></td>
<td align="center" valign="top">+</td>
<td align="center" valign="top">+</td>
<td align="center" valign="top">+</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">7.</td>
<td align="center" valign="top">51<sup>st</sup></td>
<td align="center" valign="top">+</td>
<td align="center" valign="top">+</td>
<td align="center" valign="top">+</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">6.53</td>
<td align="center" valign="top">7.64</td>
</tr>
<tr>
<td align="left" valign="top">8.</td>
<td align="center" valign="top">52<sup>nd</sup></td>
<td align="center" valign="top">+</td>
<td align="center" valign="top">+</td>
<td align="center" valign="top">+</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">8.24</td>
<td align="center" valign="top">12.59</td>
</tr>
<tr>
<td align="left" valign="top">9.</td>
<td align="center" valign="top">1<sup>st</sup></td>
<td align="center" valign="top">+</td>
<td align="center" valign="top">+</td>
<td align="center" valign="top">+</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">10.36</td>
<td align="center" valign="top">13.34</td>
</tr>
<tr>
<td align="left" valign="top">10.</td>
<td align="center" valign="top">2<sup>nd</sup></td>
<td align="center" valign="top">+</td>
<td align="center" valign="top">+</td>
<td align="center" valign="top">+</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">16.25</td>
<td align="center" valign="top">17.19</td>
</tr>
<tr>
<td align="left" valign="top">11.</td>
<td align="center" valign="top">3<sup>rd</sup></td>
<td align="center" valign="top">+</td>
<td align="center" valign="top">+</td>
<td align="center" valign="top">+</td>
<td align="center" valign="top">1.5</td>
<td align="center" valign="top">27.65</td>
<td align="center" valign="top">31.26</td>
</tr>
<tr>
<td align="left" valign="top">12.</td>
<td align="center" valign="top">4<sup>th</sup></td>
<td align="center" valign="top">+</td>
<td align="center" valign="top">+</td>
<td align="center" valign="top">+</td>
<td align="center" valign="top">3.74</td>
<td align="center" valign="top">36.06</td>
<td align="center" valign="top">39.90</td>
</tr>
<tr>
<td align="left" valign="top">13.</td>
<td align="center" valign="top">5<sup>th</sup></td>
<td align="center" valign="top">+</td>
<td align="center" valign="top">+</td>
<td align="center" valign="top">+</td>
<td align="center" valign="top">4.32</td>
<td align="center" valign="top">42.68</td>
<td align="center" valign="top">48.72</td>
</tr>
<tr>
<td align="left" valign="top">14.</td>
<td align="center" valign="top">6<sup>th</sup></td>
<td align="center" valign="top">+</td>
<td align="center" valign="top">+</td>
<td align="center" valign="top">+</td>
<td align="center" valign="top">4.48</td>
<td align="center" valign="top">50.67</td>
<td align="center" valign="top">58.53</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>The &#x2018;+&#x2019; sign indicates the presence of <italic>U. virens</italic> and the &#x2018;&#x2212;&#x2019; sign indicates an absence of <italic>U. virens</italic> in the samples collected from the spore trap.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec6">
<title>DNA extraction and PCR</title>
<p>DNA was extracted according to the method outlined by <xref ref-type="bibr" rid="ref24">Quesada et al. (2018)</xref>. The air particles adhered to the silicone grease of the sampling rods were scraped off using a sterilized toothpick. The scraped material was transferred to a screw-capped vial containing 5&#x202F;ml of cetyltrimethylammonium bromide (CTAB) buffer. The vial was vortexed, and 0.5&#x202F;ml of this mixture was transferred to a 1.5&#x202F;ml centrifuge tube. The tube was incubated at 65&#x00B0;C for 20&#x202F;min. Subsequently, an equal volume of phenol, chloroform, and isoamyl alcohol (25:24:1) was added, followed by centrifugation at 12,000&#x202F;rpm for 10&#x202F;min. The resulting supernatant was collected, and 600&#x202F;&#x03BC;l of ice-cold isopropanol was added. This mixture was then incubated overnight at &#x2212;20&#x00B0;C. The sample was centrifuged after 24&#x202F;h at 10,000&#x202F;rpm for 10&#x202F;min, followed by an ethanol wash. The supernatant was discarded, and the remaining pellet was resuspended in 50&#x202F;&#x03BC;l of TE buffer for storage.</p>
<p>The extracted DNA was then subjected to a conventional PCR check using species-specific primers US1 and US3 (<xref ref-type="table" rid="tab2">Table 2</xref>) to identify the presence of the target species, following the conditions mentioned by <xref ref-type="bibr" rid="ref32">Zhou et al. (2003)</xref>.</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Primers used in this study.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Primer</th>
<th align="left" valign="top">Sequence</th>
<th align="center" valign="top">Reference</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">US1</td>
<td align="left" valign="top">CCGGAGGATACAACCAAAAAAACTCT</td>
<td align="center" valign="top" rowspan="2">
<xref ref-type="bibr" rid="ref32">Zhou et al. (2003)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">US3</td>
<td align="left" valign="top">GCTCCAAGTGCGAGGATAACTGAAT</td>
</tr>
<tr>
<td align="left" valign="top">FIP</td>
<td align="left" valign="top">GACAAGGGGGGGAACCGTTGTTGACATCAGGGCAGACAGA</td>
<td align="center" valign="top" rowspan="4">
<xref ref-type="bibr" rid="ref6">Chandrasekar (2022)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">BIP</td>
<td align="left" valign="top">ACAATGTCACTCCCCTGCAGTCCTGACGTGGCAACAGAGG</td>
</tr>
<tr>
<td align="left" valign="top">F3</td>
<td align="left" valign="top">CACTGGTTCGGACGATGC</td>
</tr>
<tr>
<td align="left" valign="top">B3</td>
<td align="left" valign="top">AGCAAACAATAAGCGACCCG</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>FIP, forward inner primer; BIP, backward inner primer; F3, forward outer primer; and B3, backward outer primer.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec7">
<title>LAMP assay</title>
<p>The LAMP reactions mixture was made using 25&#x202F;&#x03BC;l of LAMP reagents containing 2.5&#x202F;&#x03BC;l of extracted sample DNA, 2.5&#x202F;&#x03BC;l of Thermopol buffer (10X), 1.4&#x202F;mM of each dNTPs, 0.3&#x202F;mM of both outer primers, 1.5&#x202F;mM of both inner primers (<xref ref-type="table" rid="tab2">Table 2</xref>), 1.2 M Betaine, 8&#x202F;mM MgSo<sub>4,</sub> 2&#x202F;U Bst DNA Polymerase (0.08&#x202F;U/&#x03BC;l), and 120&#x202F;&#x03BC;M of Hydroxy napthol blue (HNB) dye (<xref ref-type="bibr" rid="ref18">Logeshwari et al., 2022</xref>). The total reaction mixture, except sample DNA, served as a control. The reaction was performed in an Eppendorf thermal cycler for 60&#x202F;min at a constant temperature of 65&#x00B0;C. Then, the reaction was halted by thermal denaturation at 80&#x00B0;C for 2&#x202F;min.</p>
<p>The colorimetric observation was conducted after reaction termination, in which the sky-blue color indicated a positive reaction and the purple color indicated a negative reaction. The quality of amplification was evaluated using 2% gel electrophoresis. The presence of a ladder-like pattern indicated the positive amplification.</p>
</sec>
<sec id="sec8">
<title>In-field detection of airborne inocula and development of spray schedule</title>
<p>The sampling rods were collected at weekly intervals from transplanting to harvest of 45th Standard Meteorological Week (SMW) to 6th SMW of 2023&#x2013;2024, respectively. The DNA was extracted from each sample rod, as described earlier. The presence of airborne inocula was detected using the LAMP assay (2.4). The field trial was conducted using a randomized block design (RBD) with three treatments and seven replications to evaluate the effectiveness of an inoculum-based fungicidal spray schedule compared to the farmer&#x2019;s practice. The broad-spectrum fungicides Azoxystrobin 16.7%&#x202F;+&#x202F;Tricyclazole 33.3% @ 0.1% concentration were used. Detailed information on treatment is given in <xref ref-type="table" rid="tab3">Table 3</xref>. To evaluate the relationship between meteorological parameters and false smut disease incidence, field data on both environmental conditions and disease incidence were collected during the cropping season. The weather data were obtained from the automatic weather station (Yuktix Technologies, Bangalore, Karnataka) located at Paddy Breeding Station Coimbatore. The parameters such as maximum temperature (&#x00B0;C), minimum temperature (&#x00B0;C), relative humidity morning (%), relative humidity evening (%), and wind speed were recorded during the cropping season (45th to 6th SMW of 2023&#x2013;2024). The disease incidence was determined by calculating the percent disease incidence (PDI) based on visual field observations of false smut symptoms on infected rice plants. Weekly disease incidence was recorded for different treatments (T1, T2, and T3). The disease incidence was determined according to <xref ref-type="bibr" rid="ref2">Baite et al. (2020)</xref> using the following formula:</p>
<disp-formula id="E1">
<mml:math id="M1">
<mml:mi mathvariant="normal">P</mml:mi>
<mml:mi mathvariant="normal">D</mml:mi>
<mml:mi mathvariant="normal">I</mml:mi>
<mml:mo>=</mml:mo>
<mml:mspace width="thickmathspace"/>
<mml:mfrac>
<mml:mi mathvariant="normal">Number of infected tillers</mml:mi>
<mml:mi mathvariant="normal">Total number of tillers</mml:mi>
</mml:mfrac>
<mml:mspace width="thickmathspace"/>
<mml:mo>&#x00D7;</mml:mo>
<mml:mn>100</mml:mn>
</mml:math>
</disp-formula>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Treatment details on fixing the spray schedule for managing <italic>U. virens</italic> based on airborne inocula.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Treatments</th>
<th align="left" valign="top">Details</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">T<sub>1</sub></td>
<td align="left" valign="top">Inoculum <italic>cum</italic> weather-based application of azoxystrobin 16.7%&#x202F;+&#x202F;tricyclazole 33.3% SC @ 500&#x202F;ml/ha single spray</td>
</tr>
<tr>
<td align="left" valign="top">T<sub>2</sub></td>
<td align="left" valign="top">Farmers practice (Curative application of azoxystrobin 16.7%&#x202F;+&#x202F;tricyclazole 33.3% SC @ 500&#x202F;ml/ha) three sprays at a 15-day interval</td>
</tr>
<tr>
<td align="left" valign="top">T<sub>3</sub></td>
<td align="left" valign="top">Untreated control</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec9">
<title>Correlation analysis</title>
<p>A Pearson correlation analysis was conducted to assess the relationship between meteorological parameters and disease incidence. Pearson&#x2019;s correlation coefficient (r) was used to measure the strength and direction of the linear relationships between disease incidence (a dependent variable) and each of the meteorological parameters (independent variables). The correlation analysis was performed using statistical software R (version 4.3.1) with the cor function. The weekly meteorological data (relative humidity, wind speed, temperature, sunshine, and solar radiation) were paired with the corresponding disease incidence data for each week (W45&#x2013;W06). The results of the correlation were interpreted based on r values: (+1) indicates perfect positive correlation (as one variable increases, the other increases), (&#x2212;1) indicates perfect negative correlation (as one variable increases, the other decreases), and 0 indicates no correlation.</p>
<p>A graphical representation (<xref ref-type="fig" rid="fig2">Figure 2</xref>) showed the trends of meteorological parameters and disease incidence over time. Weekly trends were plotted using ggplot2 in R, where disease incidence was compared against key weather variables. This approach allowed for a comprehensive understanding of how weather conditions influenced the progression of false smut disease in the field over time.</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>The graphical representation of three different treatments associated with weather parameters. The different colour bars represent each weather parameter (Maximum Temperatre, Minimum Temperature, Relative Humidity morning, Relative Humidity evening, Rain fall, Wind speed, Sunshine, Solar Radiation). The line graph represents treatment 1, 2, and 3.</p>
</caption>
<graphic xlink:href="fmicb-15-1485275-g002.tif"/>
</fig>
</sec>
<sec id="sec10">
<title>Assessing the sensitivity of the LAMP assay</title>
<p>To determine the lowest limit of detection using the LAMP assay, the purified genomic DNA was quantified using Nano-Drop One (Thermo Fisher Scientific, Waltham, MA, United States; <xref ref-type="fig" rid="fig3">Figure 3</xref>). Ten-fold serial dilutions were prepared from 10&#x202F;ng to 1&#x202F;fg of genomic DNA in nuclease-free water. One microliter of DNA from each dilution was added to the individual LAMP reaction mixture. The LAMP assay was performed following the same conditions and components described above. The DNA extracted from the conidial suspension spiked sampling rods was also detected through LAMP by adding 1&#x202F;&#x03BC;l of DNA to the reaction mixture from each spiked sample. A negative control was included in each run.</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Overall flow on detection of <italic>Ustilaginoidea virens</italic>. (a) <italic>Ustilaginoidea virens</italic> culture grown on PSA media; (b) microscopic observation of U. virens spores; (c) sampling rods; (d) silicone grease coated over sampling rod; (e) the spore inocula added to rods in different dilution and DNA extracted; (f) as well as the DNA was extracted from the mycelial mat and diluted serially (100&#x202F;ng, 10&#x202F;ng, 1&#x202F;ng, 100&#x202F;pg,10&#x202F;pg, 1&#x202F;pg, 100&#x202F;fg, 10&#x202F;fg, 1&#x202F;fg); (g) the samples were then subjected to PCR and LAMP assay.</p>
</caption>
<graphic xlink:href="fmicb-15-1485275-g003.tif"/>
</fig>
</sec>
<sec id="sec11">
<title>Culture collection and spike sensitivity of the sampling rods</title>
<p>Smut ball samples were collected from the infected plant samples at the paddy breeding station Coimbatore, Tamil Nadu, in 2023. To isolate the pure culture, the smut balls were surface-sterilized with 0.1% sodium hypochlorite and rinsed three times with sterile water. The smut balls were then dried on sterilized filter paper. Using a sterilized needle, the chlamydospores were streaked on the potato sucrose agar plate amended with streptomycin, per the protocol followed by <xref ref-type="bibr" rid="ref17">Ladhalakshmi et al. (2012)</xref>. The plates were incubated at 27&#x00B0;C for 7&#x202F;days. The pure culture was obtained by repeated subculturing. The 100&#x202F;ml milky grain broth (165&#x202F;ml milky grain extract, made up to 1,000&#x202F;ml with sterilized water) was inoculated with the agar plug from the pure culture, and it was incubated for 8&#x202F;days at 25&#x00B0;C and 120&#x202F;rpm. After that, 100&#x202F;ml of potato sucrose broth (PSB) was added, and the mixture was once more incubated under the same conditions for a further week. Following this step, a cheesecloth was used to filter the culture, and then 0.05% Tween 20 (Sigma-Aldrich, St. Louis, MO, USA) was added to the suspension. The conidial suspensions were then pipetted onto rod sets placed in the vial.</p>
<p>To assess the sensitivity of the LAMP assay, the sampling rods were then spiked with a known concentration of serially diluted spore suspensions of <italic>U. virens</italic>. The conidial concentration was measured using a hemocytometer. Initially, the concentration was approxiamtely 1&#x202F;&#x00D7;&#x202F;10<sup>4</sup> conidia/ml. It was then 10-fold serially diluted to 1&#x202F;&#x00D7;&#x202F;10<sup>3</sup>, 1&#x202F;&#x00D7;&#x202F;10<sup>2</sup>, 1&#x202F;&#x00D7;&#x202F;10, and 1 conidia and spiked to the sampling rod, respectively; the rod spiked with 0 conidia (only nuclease-free water) served as a control (<xref ref-type="bibr" rid="ref9003">Villari et al., 2017</xref>). Before further processing, the rods were allowed to air dry under laboratory conditions (28&#x202F;&#x00B1;&#x202F;2&#x00B0;C) for 24&#x202F;h (<xref ref-type="fig" rid="fig3">Figure 3</xref>).</p>
</sec>
</sec>
<sec sec-type="results" id="sec12">
<title>Results</title>
<sec id="sec13">
<title>Monitoring dispersal of <italic>U. virens</italic> using spore trap</title>
<p><italic>U. virens</italic> conidia were detected using LAMP assay from the sample collected from an air sampler (spore trap) placed in the trial plot during the cropping period. The spore dispersal was recorded at weekly intervals from the 45th to the 6th SMW of 2023&#x2013;24 by collecting sampling rods from the spore trap. The microscopic observation of mounts prepared from sample rods revealed the presence of <italic>U. virens</italic>, <italic>Bipolaris oryzae</italic>, <italic>Pyricularia oryzae</italic>, <italic>Alternaria</italic>, and rice pollens (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure S1</xref>). Initially, the <italic>U. virens</italic> spores were not seen under a microscope. The spores were detected only at 48th SMW both under the microscope and LAMP assay, but in conventional PCR, it is detected only a week before visible symptom expression, i.e., on 50th SMW (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figures S2</xref>, <xref ref-type="supplementary-material" rid="SM1">S3</xref>). This implies the higher sensitivity of the LAMP assay compared to conventional PCR to detect the lowest possible inoculum of <italic>U. virens</italic>. The first visible symptoms were seen only after 3&#x202F;weeks from the detection of airborne inocula through the microscope, mainly observed at the panicle exertion stage 51<sup>st</sup> SMW. The presence and absence of <italic>U. virens</italic> was confirmed primarily by microscopic observation. <italic>Chlamydospores</italic> were mostly seen under microspores in the sample collected from the spore trap. Further confirmation was achieved by the development of sky-blue color and ladder-like pattern formation under 2% agarose gel electrophoresis.</p>
</sec>
<sec id="sec14">
<title>Development of a spray schedule based on airborne inocula</title>
<p>The spray schedule was developed by inoculum-based spraying of azoxystrobin and tricyclazole as a single spray @ 0.1% at 50th SMW after booting and before flowering was recorded, with the minimum incidence of false smut (4.48%) with a maximum yield of 6,500&#x202F;kg/ha. On the other hand, blanket application of fungicides based on farmers&#x2019; practices recorded a maximum of 50.67% of false smut incidence with a yield of 3,500&#x202F;kg/ha. In the untreated control, the incidence of false smut reached the maximum of 58.53% and recorded a minimum yield of 1,500&#x202F;kg/ha (<xref ref-type="table" rid="tab1">Table 1</xref>; <xref ref-type="fig" rid="fig2">Figure 2</xref>). Similarly, an association was found between the frequency of disease and the meteorological parameters that dominated during the cropping season. Specifically, disease incidence increased with relative humidity and wind speed and decreased with temperature, sunshine, and solar radiation (<xref ref-type="supplementary-material" rid="SM1">Supplementary Tables S1</xref>, <xref ref-type="supplementary-material" rid="SM1">S2</xref>).</p>
</sec>
<sec id="sec15">
<title>Limit of detection and spiked assays using PCR</title>
<p>The limit of detection of the <italic>U. virens</italic> using PCR assay was determined by performing the assay on a tenfold serially diluted purified genomic DNA. The PCR reaction detected the target DNA at a minimum concentration of 10&#x202F;pg (<xref ref-type="fig" rid="fig4">Figure 4</xref>). A total of six independent spore dilution series were used by adding 2.5&#x202F;&#x03BC;l of DNA derived from sampling rods spiked with 0 to 1&#x202F;&#x00D7;&#x202F;10<sup>4</sup> conidial spores. The PCR assay was able to amplify up to 1 &#x00D7; 10<sup>2</sup> conidia at 380&#x202F;bp, while it failed to amplify 1 and 10 conidia per sampling rod.</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Detection of <italic>Ustilaginoidea virens</italic> using PCR assay. <bold>(A)</bold> Agarose gel electrophoresis analysis of the PCR products, each Lane represents L:1Kb Ladder; 1-100&#x202F;ng; 2-10&#x202F;ng; 3-1&#x202F;ng; 4-100&#x202F;pg; 5-10&#x202F;pg; 6-1&#x202F;pg; 7-100&#x202F;fg; 8-10&#x202F;fg; 9-1&#x202F;fg; C-NFW (Negative control). <bold>(B)</bold> Agarose gel electrophoresis analysis of the PCR products, each Lane represents L:1Kb Ladder; 1&#x2013;1&#x202F;&#x00D7;&#x202F;10<sup>4</sup> conidia; 2-1&#x202F;&#x00D7;&#x202F;10<sup>3</sup> conidia; 3-1&#x202F;&#x00D7;&#x202F;10<sup>2</sup> conidia; 4-1&#x202F;&#x00D7;&#x202F;10 conidia; 5-1 conidia; C-NFW (Negative control). ng, nano gram; pg, pico gram; fg, femtogram; NFW, nuclease free water.</p>
</caption>
<graphic xlink:href="fmicb-15-1485275-g004.tif"/>
</fig>
</sec>
<sec id="sec16">
<title>Limit of detection and spiked assays using LAMP</title>
<p>The limit of detection of the <italic>U. virens</italic> LAMP assay was determined by performing the assay on a tenfold serially diluted preparation of purified genomic DNA. The results revealed strong sky-blue color development in all tubes containing different DNA concentrations except those containing 10 and 1&#x202F;fg of DNA. Similarly, the ladder-like pattern was seen at a minimum concentration of 100&#x202F;fg under 2% agarose gel electrophoresis (<xref ref-type="fig" rid="fig5">Figure 5</xref>). The LAMP amplified positive for all the serially diluted conidial spiking except for single conidia. The lowest possible detection of LAMP through spiking assay was about 1&#x202F;&#x00D7;&#x202F;10 conidia per sampling rod.</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>Detection of <italic>U. virens</italic> using LAMP assay. <bold>(A)</bold> Agarose gel electrophoresis analysis of the LAMP products, each Lane represents L:1Kb Ladder; 1-100&#x202F;ng; 2-10&#x202F;ng; 3-1&#x202F;ng; 4-100&#x202F;pg; 5-10&#x202F;pg; 6-1&#x202F;pg; 7-100&#x202F;fg; 8-10&#x202F;fg; 9-1&#x202F;fg; C-NFW (Negative control). <bold>(B)</bold> Agarose gel electrophoresis analysis of the LAMP products, each Lane represents L:1Kb Ladder; 1-1&#x202F;&#x00D7;&#x202F;104 conidia; 2-1&#x202F;&#x00D7;&#x202F;103 conidia; 3-1&#x202F;&#x00D7;&#x202F;102 conidia; 4-1&#x202F;&#x00D7;&#x202F;10 conidia; 5-1 conidia; C-NFW (Negative control). ng, nano gram; pg, pico gram; fg, femtogram; NFW, nuclease free water.</p>
</caption>
<graphic xlink:href="fmicb-15-1485275-g005.tif"/>
</fig>
</sec>
<sec id="sec17">
<title>Multi-operator validation and specificity</title>
<p>Three operators performed the LAMP assay with blind samples, including <italic>U. virens</italic> and other species, and a non-template control (<xref ref-type="table" rid="tab4">Table 4</xref>). As a result, all three operators correctly identified <italic>U. virens,</italic> and there was no cross-reactivity with any other non-target samples.</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Multi-operator validation of loop-mediated isothermal (LAMP) assay specific for <italic>U. virens.</italic></p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Crop</th>
<th align="center" valign="top" rowspan="2">Isolate</th>
<th align="center" valign="top" colspan="3">LAMP test</th>
</tr>
<tr>
<th align="center" valign="top">Operator 1</th>
<th align="center" valign="top">Operator 2</th>
<th align="center" valign="top">Operator 3</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Rice</td>
<td align="center" valign="top"><italic>Rhizoctonia solani</italic></td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">&#x2212;</td>
</tr>
<tr>
<td align="left" valign="top">Rice</td>
<td align="center" valign="top"><italic>Pyricularia Oryza</italic></td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">&#x2212;</td>
</tr>
<tr>
<td align="left" valign="top">Rice</td>
<td align="center" valign="top"><italic>Bipolaris Oryza</italic></td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">&#x2212;</td>
</tr>
<tr>
<td align="left" valign="top">Rice</td>
<td align="center" valign="top"><italic>Ustiloginoidea virens</italic></td>
<td align="center" valign="middle">+</td>
<td align="center" valign="middle">+</td>
<td align="center" valign="middle">+</td>
</tr>
<tr>
<td align="left" valign="top">Tomato</td>
<td align="center" valign="top"><italic>Alternaria solani</italic></td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">&#x2212;</td>
</tr>
<tr>
<td align="left" valign="top">Tomato</td>
<td align="center" valign="top"><italic>Fusarium solani</italic></td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">&#x2212;</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="sec18">
<title>Discussion</title>
<p>The management of plant diseases in the field primarily depends on reliable, efficient, and rapid detection methods. These methods must be affordable, field-compatible, and applicable to laboratories without sophisticated equipment. They should also be sensitive, specific, and able to detect various diseases (<xref ref-type="bibr" rid="ref30">Yang et al., 2018</xref>). Thus, tracking airborne inocula of <italic>U. virens</italic> using spore traps, combined with Loop-Mediated Isothermal Amplification (LAMP) assays, provided a comprehensive surveillance method. Continuous monitoring of <italic>U. virens</italic> dispersal throughout the cropping season offered insights into the airborne dynamics of the pathogen. The inocula were detected 1&#x2013;2&#x202F;weeks before visible symptoms appeared on the rice panicles, offering a predictive clue for disease onset. Additionally, conidia from various pathogens were detected during the study, providing real-time data crucial for predicting disease outbreaks and implementing timely management strategies.</p>
<p>Spore trap samples were initially analyzed using microscopy (<xref ref-type="bibr" rid="ref15">Kim et al., 2019</xref>). However, this method was labor-intensive, and identifying <italic>Diplocarpon coronariae</italic> spores in field samples proved difficult due to the complexity of the samples (<xref ref-type="bibr" rid="ref3">Boutry et al., 2023</xref>). Although quantitative PCR (qPCR) is another sensitive and specific method capable of quantifying as few as 10 conidia per sample, it shares some limitations: being labor-intensive and not cost-effective, similar to other qPCR techniques used for fungi (<xref ref-type="bibr" rid="ref4">Calderon et al., 2002</xref>; <xref ref-type="bibr" rid="ref9">Dvor&#x00E1;k et al., 2015</xref>; <xref ref-type="bibr" rid="ref19">Luchi et al., 2013</xref>). In contrast, the LAMP assay offers several advantages. It is labor-friendly, cost-effective, and highly specific when targeting conserved fungal sequences. When combined with spore trapping, it enables more effective disease management. For example, a LAMP assay targeting the cyt b region of <italic>Uromyces betae</italic> was developed by <xref ref-type="bibr" rid="ref13">Kaczmarek et al. (2019)</xref>. This assay, when coupled with spore traps in sugar beet fields, demonstrated timely pathogen detection, enabling effective disease control.</p>
<p>The coupling of LAMP with spore traps also helped reveal the spatiotemporal pattern of inoculum presence and was used to develop inoculum-based forewarning models for conidia detection. This proactive approach to managing false smut disease, by detecting airborne <italic>U. virens</italic> inocula, proved more effective than traditional methods. Detecting <italic>U. virens</italic> inocula before visible symptoms allowed fungicide application at an optimal time before or at infection onset. This early intervention minimized disease progression, as observed in the field trial, where the inoculum-based schedule (T1) resulted in a lower false smut incidence (4.48%) and a higher yield (6,500&#x202F;kg/ha). In contrast, the farmer&#x2019;s practice (T2) had a significantly higher disease incidence (50.67%) and a lower yield (3,500&#x202F;kg/ha), while the untreated control (T3) showed the highest disease incidence (58.53%) and the lowest yield (1,500&#x202F;kg/ha).</p>
<p>By reducing the need for multiple fungicide applications, this inoculum-based approach also lowered costs and minimized environmental impacts, aligning with sustainable agricultural practices. Additionally, targeted fungicide use reduces the risk of fungicide resistance development, preserving their effectiveness. Environmental factors such as humidity and wind speed were found to correlate positively with disease incidence, while higher temperatures and more sunshine reduced it. By combining inoculum detection with weather forecasting, farmers can further refine management strategies and apply fungicides when most needed.</p>
<p>Standardizing fungicide applications based on airborne inocula detection using spore traps reduced the number of sprays, minimized crop damage and yielded economic benefits across several crops, including <italic>Botrytis cinerea</italic> in grapevine, <italic>Cercospora sojina</italic> in soybean, <italic>Fusarium graminearum</italic> in wheat and <italic>Bremia lactucae</italic> in lettuce (<xref ref-type="bibr" rid="ref10">Gonz&#x00E1;lez-Fern&#x00E1;ndez et al., 2020</xref>; <xref ref-type="bibr" rid="ref33">Zuchelli, 2021</xref>; <xref ref-type="bibr" rid="ref12">Hellin et al., 2018</xref>; <xref ref-type="bibr" rid="ref16">Kunjeti et al., 2016</xref>; <xref ref-type="bibr" rid="ref5">Carisse et al., 2012</xref>). The comprehensive statistical analysis highlighted the correlation between weather parameters and disease incidence. Increased relative humidity and wind speed were positively associated with disease occurrence, whereas low minimum temperatures, solar radiation, and sunshine resulted in a higher incidence of disease. This relationship was further validated by findings in West Bengal, where both maximum and minimum temperatures, relative humidity, and wind speed were critical for false smut development, whereas, in Gujarat, maximum temperature and relative humidity alone were the main contributors (<xref ref-type="bibr" rid="ref26">Saha et al., 2020</xref>; <xref ref-type="bibr" rid="ref7">Chaudhari et al., 2019</xref>).</p>
<p>The LAMP assay demonstrated high sensitivity, detecting <italic>U. virens</italic> DNA at concentrations as low as 100&#x202F;fg, significantly outperforming conventional PCR, which could detect only up to 100&#x202F;pg (<xref ref-type="fig" rid="fig4">Figure 4</xref>). The rapid detection of <italic>Alternaria solani</italic> using LAMP yielded more reliable and accurate results, with amplification occurring in less than 60&#x202F;min at 63&#x00B0;C, showing a 10-fold greater sensitivity than conventional PCR (<xref ref-type="bibr" rid="ref9002">Khan et al., 2018</xref>). This high level of sensitivity ensures that the disease can be detected early, providing sufficient time for timely interventions.</p>
<p>The robustness and reproducibility of the LAMP assay were confirmed through validation by three different operators, with no cross-reactivity observed in non-target samples. The spiked assays further demonstrated the assay&#x2019;s capability, detecting as few as 1&#x202F;&#x00D7;&#x202F;10 conidia per rod, compared to conventional PCR&#x2019;s detection limit of more than 1&#x202F;&#x00D7;&#x202F;10<sup>2</sup> conidia (<xref ref-type="fig" rid="fig3">Figure 3</xref>). The multi-primer system of the LAMP assay (using inner and outer primers) enhanced both specificity and amplification speed, contributing to its superior performance in detecting small amounts of <italic>U. virens</italic> DNA compared to conventional PCR. This sensitivity level enables early inoculum detection in the air at low concentrations, which is crucial for preemptive disease management.</p>
<p>In conclusion, this study presents a novel and integrated approach for managing false smut disease in rice by combining spore trapping technology for airborne pathogen surveillance with the LAMP assay for rapid and sensitive detection of <italic>U. virens</italic>. This approach offers significant potential for improving the sustainability of rice production and enhancing food security, particularly in regions vulnerable to airborne diseases. Further research and field trials are needed to validate these findings across rice-growing regions and cropping systems.</p>
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<sec sec-type="data-availability" id="sec19">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">Supplementary material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec sec-type="author-contributions" id="sec20">
<title>Author contributions</title>
<p>AM: Conceptualization, Formal analysis, Methodology, Resources, Software, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. GC: Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Supervision, Validation, Writing &#x2013; review &#x0026; editing. KA: Conceptualization, Investigation, Resources, Supervision, Validation, Visualization, Writing &#x2013; review &#x0026; editing. JR: Formal analysis, Investigation, Supervision, Validation, Visualization, Writing &#x2013; review &#x0026; editing. PS: Formal analysis, Investigation, Supervision, Validation, Writing &#x2013; review &#x0026; editing. NS: Conceptualization, Supervision, Writing &#x2013; review &#x0026; editing.</p>
</sec>
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<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.</p>
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<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>
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<title>Publisher&#x2019;s note</title>
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<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fmicb.2024.1485275/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fmicb.2024.1485275/full#supplementary-material</ext-link></p>
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