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Detection of candidate gene networks involved in resistance to Sclerotinia sclerotiorum in soybean

Quantitative trait locus (QTL) mapping often yields associations with dissimilar loci/genes as a consequence of diverse factors. One trait for which very limited agreement between mapping studies has been observed is resistance to white mold in soybean. To explore whether different approaches applie...

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Autores principales: Zhang, Yu, Wang, Yuexing, Zhou, Wanying, Zheng, Shimao, Ye, Runzhou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8755693/
https://www.ncbi.nlm.nih.gov/pubmed/34510383
http://dx.doi.org/10.1007/s13353-021-00654-z
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author Zhang, Yu
Wang, Yuexing
Zhou, Wanying
Zheng, Shimao
Ye, Runzhou
author_facet Zhang, Yu
Wang, Yuexing
Zhou, Wanying
Zheng, Shimao
Ye, Runzhou
author_sort Zhang, Yu
collection PubMed
description Quantitative trait locus (QTL) mapping often yields associations with dissimilar loci/genes as a consequence of diverse factors. One trait for which very limited agreement between mapping studies has been observed is resistance to white mold in soybean. To explore whether different approaches applied to a single data set could lead to more consistent results, haplotype-trait association and epistasis interaction effects were explored as a complement to a more conventional marker-trait analysis. At least 10 genomic regions were significantly associated with Sclerotinia sclerotiorum resistance in soybean, which have not been previously reported. At a significance level of α = 0.05, haplotype-trait association showed that the most prominent signal originated from a haplotype with 4-SNP (single nucleotide polymorphism) on chromosome 17, and single SNP-trait analysis located a nucleotide polymorphism at position rs34387780 on chromosome 3. All of the peak-SNPs (p-value < 0.05) of each chromosome also appeared in their respective haplotypes. Samples with extreme phenotypes were singled-out for association studies, 25–30% from each end of the phenotypic spectrum appeared in the present investigation to be the most appropriate sample size. Some key genes were identified by epistasis interaction analysis. By combining information on the nearest positional genes indicated that most loci have not been previously reported. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses suggest potential candidate genes underlying callose deposition in the cell wall and mitogen-activated protein kinase (MAPK) signaling pathway-plant, as well as plant-pathogen interaction pathway, were activated. Integration of multi-method genome-wide association study (GWAS) revealed novel genomic regions and promising candidate genes in novel regions, which include Glyma.01g048500, Glyma.03g129100, Glyma.17g072200, and the Dishevelled (Dvl) family of proteins on chromosomes 1, 3, 17, and 20, respectively. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13353-021-00654-z.
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spelling pubmed-87556932022-01-20 Detection of candidate gene networks involved in resistance to Sclerotinia sclerotiorum in soybean Zhang, Yu Wang, Yuexing Zhou, Wanying Zheng, Shimao Ye, Runzhou J Appl Genet Plant Genetics • Review Quantitative trait locus (QTL) mapping often yields associations with dissimilar loci/genes as a consequence of diverse factors. One trait for which very limited agreement between mapping studies has been observed is resistance to white mold in soybean. To explore whether different approaches applied to a single data set could lead to more consistent results, haplotype-trait association and epistasis interaction effects were explored as a complement to a more conventional marker-trait analysis. At least 10 genomic regions were significantly associated with Sclerotinia sclerotiorum resistance in soybean, which have not been previously reported. At a significance level of α = 0.05, haplotype-trait association showed that the most prominent signal originated from a haplotype with 4-SNP (single nucleotide polymorphism) on chromosome 17, and single SNP-trait analysis located a nucleotide polymorphism at position rs34387780 on chromosome 3. All of the peak-SNPs (p-value < 0.05) of each chromosome also appeared in their respective haplotypes. Samples with extreme phenotypes were singled-out for association studies, 25–30% from each end of the phenotypic spectrum appeared in the present investigation to be the most appropriate sample size. Some key genes were identified by epistasis interaction analysis. By combining information on the nearest positional genes indicated that most loci have not been previously reported. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses suggest potential candidate genes underlying callose deposition in the cell wall and mitogen-activated protein kinase (MAPK) signaling pathway-plant, as well as plant-pathogen interaction pathway, were activated. Integration of multi-method genome-wide association study (GWAS) revealed novel genomic regions and promising candidate genes in novel regions, which include Glyma.01g048500, Glyma.03g129100, Glyma.17g072200, and the Dishevelled (Dvl) family of proteins on chromosomes 1, 3, 17, and 20, respectively. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13353-021-00654-z. Springer Berlin Heidelberg 2021-09-11 2022 /pmc/articles/PMC8755693/ /pubmed/34510383 http://dx.doi.org/10.1007/s13353-021-00654-z Text en © The Author(s) 2021 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/) .
spellingShingle Plant Genetics • Review
Zhang, Yu
Wang, Yuexing
Zhou, Wanying
Zheng, Shimao
Ye, Runzhou
Detection of candidate gene networks involved in resistance to Sclerotinia sclerotiorum in soybean
title Detection of candidate gene networks involved in resistance to Sclerotinia sclerotiorum in soybean
title_full Detection of candidate gene networks involved in resistance to Sclerotinia sclerotiorum in soybean
title_fullStr Detection of candidate gene networks involved in resistance to Sclerotinia sclerotiorum in soybean
title_full_unstemmed Detection of candidate gene networks involved in resistance to Sclerotinia sclerotiorum in soybean
title_short Detection of candidate gene networks involved in resistance to Sclerotinia sclerotiorum in soybean
title_sort detection of candidate gene networks involved in resistance to sclerotinia sclerotiorum in soybean
topic Plant Genetics • Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8755693/
https://www.ncbi.nlm.nih.gov/pubmed/34510383
http://dx.doi.org/10.1007/s13353-021-00654-z
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