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Discovery and characterization of differentially expressed soybean miRNAs and their targets during soybean mosaic virus infection unveils novel insight into Soybean-SMV interaction

BACKGROUND: Soybean mosaic virus (SMV) is one of the most devastating pathogens of soybean. MicroRNAs (miRNAs) are a class of non-coding RNAs (21–24 nucleotides) which are endogenously produced by the plant host as part of a general gene expression regulatory mechanisms, but also play roles in regul...

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Autores principales: Li, Bowen, Karthikeyan, Adhimoolam, Wang, Liqun, Yin, Jinlong, Jin, Tongtong, Liu, Hui, Li, Kai, Gai, Junyi, Zhi, Haijian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8889786/
https://www.ncbi.nlm.nih.gov/pubmed/35236286
http://dx.doi.org/10.1186/s12864-022-08385-z
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author Li, Bowen
Karthikeyan, Adhimoolam
Wang, Liqun
Yin, Jinlong
Jin, Tongtong
Liu, Hui
Li, Kai
Gai, Junyi
Zhi, Haijian
author_facet Li, Bowen
Karthikeyan, Adhimoolam
Wang, Liqun
Yin, Jinlong
Jin, Tongtong
Liu, Hui
Li, Kai
Gai, Junyi
Zhi, Haijian
author_sort Li, Bowen
collection PubMed
description BACKGROUND: Soybean mosaic virus (SMV) is one of the most devastating pathogens of soybean. MicroRNAs (miRNAs) are a class of non-coding RNAs (21–24 nucleotides) which are endogenously produced by the plant host as part of a general gene expression regulatory mechanisms, but also play roles in regulating plant defense against pathogens. However, miRNA-mediated plant response to SMV in soybean is not as well documented. RESULT: In this study, we analyzed 18 miRNA libraries, including three biological replicates from two soybean lines (Resistant and susceptible lines to SMV strain SC3 selected from the near-isogenic lines of Qihuang No. 1 × Nannong1138-2) after virus infection at three different time intervals (0 dpi, 7 dpi and 14 dpi). A total of 1,092 miRNAs, including 608 known miRNAs and 484 novel miRNAs were detected. Differential expression analyses identified the miRNAs profile changes during soybean-SMV interaction. Then, miRNAs potential target genes were predicted via data mining, and functional annotation was done by Gene Ontology (GO) analysis. The expression patterns of several miRNAs were validated by quantitative real-time PCR. We also validated the miRNA-target gene interaction by agrobacterium-mediated transient expression in Nicotiana benthamiana. CONCLUSION: We have identified a large number of miRNAs and their target genes and also functional annotations. We found that multiple miRNAs were differentially expressed in the two lines and targeted a series of NBS-LRR resistance genes. It is worth mentioning that many of these genes exist in the previous fine-mapping interval of the resistance gene locus. Our study provides additional information on soybean miRNAs and an insight into the role of miRNAs during SMV-infection in soybean. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-022-08385-z.
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spelling pubmed-88897862022-03-09 Discovery and characterization of differentially expressed soybean miRNAs and their targets during soybean mosaic virus infection unveils novel insight into Soybean-SMV interaction Li, Bowen Karthikeyan, Adhimoolam Wang, Liqun Yin, Jinlong Jin, Tongtong Liu, Hui Li, Kai Gai, Junyi Zhi, Haijian BMC Genomics Research BACKGROUND: Soybean mosaic virus (SMV) is one of the most devastating pathogens of soybean. MicroRNAs (miRNAs) are a class of non-coding RNAs (21–24 nucleotides) which are endogenously produced by the plant host as part of a general gene expression regulatory mechanisms, but also play roles in regulating plant defense against pathogens. However, miRNA-mediated plant response to SMV in soybean is not as well documented. RESULT: In this study, we analyzed 18 miRNA libraries, including three biological replicates from two soybean lines (Resistant and susceptible lines to SMV strain SC3 selected from the near-isogenic lines of Qihuang No. 1 × Nannong1138-2) after virus infection at three different time intervals (0 dpi, 7 dpi and 14 dpi). A total of 1,092 miRNAs, including 608 known miRNAs and 484 novel miRNAs were detected. Differential expression analyses identified the miRNAs profile changes during soybean-SMV interaction. Then, miRNAs potential target genes were predicted via data mining, and functional annotation was done by Gene Ontology (GO) analysis. The expression patterns of several miRNAs were validated by quantitative real-time PCR. We also validated the miRNA-target gene interaction by agrobacterium-mediated transient expression in Nicotiana benthamiana. CONCLUSION: We have identified a large number of miRNAs and their target genes and also functional annotations. We found that multiple miRNAs were differentially expressed in the two lines and targeted a series of NBS-LRR resistance genes. It is worth mentioning that many of these genes exist in the previous fine-mapping interval of the resistance gene locus. Our study provides additional information on soybean miRNAs and an insight into the role of miRNAs during SMV-infection in soybean. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-022-08385-z. BioMed Central 2022-03-02 /pmc/articles/PMC8889786/ /pubmed/35236286 http://dx.doi.org/10.1186/s12864-022-08385-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Li, Bowen
Karthikeyan, Adhimoolam
Wang, Liqun
Yin, Jinlong
Jin, Tongtong
Liu, Hui
Li, Kai
Gai, Junyi
Zhi, Haijian
Discovery and characterization of differentially expressed soybean miRNAs and their targets during soybean mosaic virus infection unveils novel insight into Soybean-SMV interaction
title Discovery and characterization of differentially expressed soybean miRNAs and their targets during soybean mosaic virus infection unveils novel insight into Soybean-SMV interaction
title_full Discovery and characterization of differentially expressed soybean miRNAs and their targets during soybean mosaic virus infection unveils novel insight into Soybean-SMV interaction
title_fullStr Discovery and characterization of differentially expressed soybean miRNAs and their targets during soybean mosaic virus infection unveils novel insight into Soybean-SMV interaction
title_full_unstemmed Discovery and characterization of differentially expressed soybean miRNAs and their targets during soybean mosaic virus infection unveils novel insight into Soybean-SMV interaction
title_short Discovery and characterization of differentially expressed soybean miRNAs and their targets during soybean mosaic virus infection unveils novel insight into Soybean-SMV interaction
title_sort discovery and characterization of differentially expressed soybean mirnas and their targets during soybean mosaic virus infection unveils novel insight into soybean-smv interaction
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8889786/
https://www.ncbi.nlm.nih.gov/pubmed/35236286
http://dx.doi.org/10.1186/s12864-022-08385-z
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