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Development of an SSR-based genetic map in sesame and identification of quantitative trait loci associated with charcoal rot resistance

Sesame is prized for its oil. Genetic improvement of sesame can be enhanced through marker-assisted breeding. However, few simple sequence repeat (SSR) markers and SSR-based genetic maps were available in sesame. In this study, 7,357 SSR markers were developed from the sesame genome and transcriptom...

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Autores principales: Wang, Linhai, Zhang, Yanxin, Zhu, Xiaodong, Zhu, Xiaofeng, Li, Donghua, Zhang, Xianmei, Gao, Yuan, Xiao, Guobin, Wei, Xin, zhang, Xiurong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5566338/
https://www.ncbi.nlm.nih.gov/pubmed/28827730
http://dx.doi.org/10.1038/s41598-017-08858-2
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author Wang, Linhai
Zhang, Yanxin
Zhu, Xiaodong
Zhu, Xiaofeng
Li, Donghua
Zhang, Xianmei
Gao, Yuan
Xiao, Guobin
Wei, Xin
zhang, Xiurong
author_facet Wang, Linhai
Zhang, Yanxin
Zhu, Xiaodong
Zhu, Xiaofeng
Li, Donghua
Zhang, Xianmei
Gao, Yuan
Xiao, Guobin
Wei, Xin
zhang, Xiurong
author_sort Wang, Linhai
collection PubMed
description Sesame is prized for its oil. Genetic improvement of sesame can be enhanced through marker-assisted breeding. However, few simple sequence repeat (SSR) markers and SSR-based genetic maps were available in sesame. In this study, 7,357 SSR markers were developed from the sesame genome and transcriptomes, and a genetic map was constructed by generating 424 novel polymorphic markers and using a cross population with 548 recombinant inbred lines (RIL). The genetic map had 13 linkage groups, equalling the number of sesame chromosomes. The linkage groups ranged in size from 113.6 to 179.9 centimorgans (cM), with a mean value of 143.8 cM over a total length of 1869.8 cM. Fourteen quantitative trait loci (QTL) for sesame charcoal rot disease resistance were detected, with contribution rates of 3–14.16% in four field environments; ~60% of the QTL were located within 5 cM at 95% confidence interval. The QTL with the highest phenotype contribution rate (qCRR12.2) and those detected in different environments (qCRR8.2 and qCRR8.3) were used to predict candidate disease response genes. The new SSR-based genetic map and 14 novel QTLs for charcoal rot disease resistance will facilitate the mapping of agronomic traits and marker-assisted selection breeding in sesame.
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spelling pubmed-55663382017-08-23 Development of an SSR-based genetic map in sesame and identification of quantitative trait loci associated with charcoal rot resistance Wang, Linhai Zhang, Yanxin Zhu, Xiaodong Zhu, Xiaofeng Li, Donghua Zhang, Xianmei Gao, Yuan Xiao, Guobin Wei, Xin zhang, Xiurong Sci Rep Article Sesame is prized for its oil. Genetic improvement of sesame can be enhanced through marker-assisted breeding. However, few simple sequence repeat (SSR) markers and SSR-based genetic maps were available in sesame. In this study, 7,357 SSR markers were developed from the sesame genome and transcriptomes, and a genetic map was constructed by generating 424 novel polymorphic markers and using a cross population with 548 recombinant inbred lines (RIL). The genetic map had 13 linkage groups, equalling the number of sesame chromosomes. The linkage groups ranged in size from 113.6 to 179.9 centimorgans (cM), with a mean value of 143.8 cM over a total length of 1869.8 cM. Fourteen quantitative trait loci (QTL) for sesame charcoal rot disease resistance were detected, with contribution rates of 3–14.16% in four field environments; ~60% of the QTL were located within 5 cM at 95% confidence interval. The QTL with the highest phenotype contribution rate (qCRR12.2) and those detected in different environments (qCRR8.2 and qCRR8.3) were used to predict candidate disease response genes. The new SSR-based genetic map and 14 novel QTLs for charcoal rot disease resistance will facilitate the mapping of agronomic traits and marker-assisted selection breeding in sesame. Nature Publishing Group UK 2017-08-21 /pmc/articles/PMC5566338/ /pubmed/28827730 http://dx.doi.org/10.1038/s41598-017-08858-2 Text en © The Author(s) 2017 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Wang, Linhai
Zhang, Yanxin
Zhu, Xiaodong
Zhu, Xiaofeng
Li, Donghua
Zhang, Xianmei
Gao, Yuan
Xiao, Guobin
Wei, Xin
zhang, Xiurong
Development of an SSR-based genetic map in sesame and identification of quantitative trait loci associated with charcoal rot resistance
title Development of an SSR-based genetic map in sesame and identification of quantitative trait loci associated with charcoal rot resistance
title_full Development of an SSR-based genetic map in sesame and identification of quantitative trait loci associated with charcoal rot resistance
title_fullStr Development of an SSR-based genetic map in sesame and identification of quantitative trait loci associated with charcoal rot resistance
title_full_unstemmed Development of an SSR-based genetic map in sesame and identification of quantitative trait loci associated with charcoal rot resistance
title_short Development of an SSR-based genetic map in sesame and identification of quantitative trait loci associated with charcoal rot resistance
title_sort development of an ssr-based genetic map in sesame and identification of quantitative trait loci associated with charcoal rot resistance
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5566338/
https://www.ncbi.nlm.nih.gov/pubmed/28827730
http://dx.doi.org/10.1038/s41598-017-08858-2
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