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Association Analysis of Charcoal Rot Disease Resistance in Soybean

In this research, the relationships among the 31 microsatellite markers with charcoal rot disease resistance related indices in 130 different soybean cultivars and lines were evaluated using association analysis based on the general linear model (GLM) and the mixed linear model (MLM) by the Structur...

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Autores principales: Ghorbanipour, Ali, Rabiei, Babak, Rahmanpour, Siamak, Khodaparast, Seyed Akbar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Plant Pathology 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6586194/
https://www.ncbi.nlm.nih.gov/pubmed/31244565
http://dx.doi.org/10.5423/PPJ.OA.12.2018.0283
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author Ghorbanipour, Ali
Rabiei, Babak
Rahmanpour, Siamak
Khodaparast, Seyed Akbar
author_facet Ghorbanipour, Ali
Rabiei, Babak
Rahmanpour, Siamak
Khodaparast, Seyed Akbar
author_sort Ghorbanipour, Ali
collection PubMed
description In this research, the relationships among the 31 microsatellite markers with charcoal rot disease resistance related indices in 130 different soybean cultivars and lines were evaluated using association analysis based on the general linear model (GLM) and the mixed linear model (MLM) by the Structure and Tassel software. The results of microsatellite markers showed that the genetic structure of the studied population has three subpopulations (K=3) which the results of bar plat also confirmed it. In association analysis based on GLM and MLM models, 31 and 35 loci showed significant relationships with the evaluated traits, respectively, and confirmed considerable variation of the studied traits. The identified markers related to some of the studied traits were the same which can probably be due to pleiotropic effects or tight linkage among the genomic regions controlling these traits. Some of these relationships were including, the relationship between Sat_252 marker with amount of charcoal rot disease, Satt359, Satt190 and Sat_169 markers with number of microsclerota in stem, amount of charcoal rot disease and severity of charcoal rot disease, Sat_416 marker with number of microsclerota in stem and amount of charcoal rot disease and the Satt460 marker with number of microsclerota in stem and severity of charcoal rot disease. The results of this research and the linked microsatellite markers with the charcoal rot disease-related characteristics can be used to identify the suitable parents and to improve the soybean population in future breeding programs.
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spelling pubmed-65861942019-06-26 Association Analysis of Charcoal Rot Disease Resistance in Soybean Ghorbanipour, Ali Rabiei, Babak Rahmanpour, Siamak Khodaparast, Seyed Akbar Plant Pathol J Research Article In this research, the relationships among the 31 microsatellite markers with charcoal rot disease resistance related indices in 130 different soybean cultivars and lines were evaluated using association analysis based on the general linear model (GLM) and the mixed linear model (MLM) by the Structure and Tassel software. The results of microsatellite markers showed that the genetic structure of the studied population has three subpopulations (K=3) which the results of bar plat also confirmed it. In association analysis based on GLM and MLM models, 31 and 35 loci showed significant relationships with the evaluated traits, respectively, and confirmed considerable variation of the studied traits. The identified markers related to some of the studied traits were the same which can probably be due to pleiotropic effects or tight linkage among the genomic regions controlling these traits. Some of these relationships were including, the relationship between Sat_252 marker with amount of charcoal rot disease, Satt359, Satt190 and Sat_169 markers with number of microsclerota in stem, amount of charcoal rot disease and severity of charcoal rot disease, Sat_416 marker with number of microsclerota in stem and amount of charcoal rot disease and the Satt460 marker with number of microsclerota in stem and severity of charcoal rot disease. The results of this research and the linked microsatellite markers with the charcoal rot disease-related characteristics can be used to identify the suitable parents and to improve the soybean population in future breeding programs. Korean Society of Plant Pathology 2019-06 2019-06-01 /pmc/articles/PMC6586194/ /pubmed/31244565 http://dx.doi.org/10.5423/PPJ.OA.12.2018.0283 Text en © The Korean Society of Plant Pathology This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Ghorbanipour, Ali
Rabiei, Babak
Rahmanpour, Siamak
Khodaparast, Seyed Akbar
Association Analysis of Charcoal Rot Disease Resistance in Soybean
title Association Analysis of Charcoal Rot Disease Resistance in Soybean
title_full Association Analysis of Charcoal Rot Disease Resistance in Soybean
title_fullStr Association Analysis of Charcoal Rot Disease Resistance in Soybean
title_full_unstemmed Association Analysis of Charcoal Rot Disease Resistance in Soybean
title_short Association Analysis of Charcoal Rot Disease Resistance in Soybean
title_sort association analysis of charcoal rot disease resistance in soybean
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6586194/
https://www.ncbi.nlm.nih.gov/pubmed/31244565
http://dx.doi.org/10.5423/PPJ.OA.12.2018.0283
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