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

Abstract 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 tra...

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Autores principales:	Linhai Wang, Yanxin Zhang, Xiaodong Zhu, Xiaofeng Zhu, Donghua Li, Xianmei Zhang, Yuan Gao, Guobin Xiao, Xin Wei, Xiurong zhang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/f6012424ee554ca1b60dc416031dc7ea
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spelling	oai:doaj.org-article:f6012424ee554ca1b60dc416031dc7ea2021-12-02T16:06:24ZDevelopment of an SSR-based genetic map in sesame and identification of quantitative trait loci associated with charcoal rot resistance10.1038/s41598-017-08858-22045-2322https://doaj.org/article/f6012424ee554ca1b60dc416031dc7ea2017-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-08858-2https://doaj.org/toc/2045-2322Abstract 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.Linhai WangYanxin ZhangXiaodong ZhuXiaofeng ZhuDonghua LiXianmei ZhangYuan GaoGuobin XiaoXin WeiXiurong zhangNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-8 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Linhai Wang Yanxin Zhang Xiaodong Zhu Xiaofeng Zhu Donghua Li Xianmei Zhang Yuan Gao Guobin Xiao Xin Wei Xiurong zhang Development of an SSR-based genetic map in sesame and identification of quantitative trait loci associated with charcoal rot resistance
description	Abstract 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.
format	article
author	Linhai Wang Yanxin Zhang Xiaodong Zhu Xiaofeng Zhu Donghua Li Xianmei Zhang Yuan Gao Guobin Xiao Xin Wei Xiurong zhang
author_facet	Linhai Wang Yanxin Zhang Xiaodong Zhu Xiaofeng Zhu Donghua Li Xianmei Zhang Yuan Gao Guobin Xiao Xin Wei Xiurong zhang
author_sort	Linhai Wang
title	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_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_sort	development of an ssr-based genetic map in sesame and identification of quantitative trait loci associated with charcoal rot resistance
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/f6012424ee554ca1b60dc416031dc7ea
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Development of an SSR-based genetic map in sesame and identification of quantitative trait loci associated with charcoal rot resistance

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