Association mapping for important agronomic traits in core collection of rice (Oryza sativa L.) with SSR markers.

Mining elite genes within rice landraces is of importance for the improvement of cultivated rice. An association mapping for 12 agronomic traits was carried out using a core collection of rice consisting of 150 landraces (Panel 1) with 274 simple sequence repeat (SSR) markers, and the mapping result...

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Autores principales:	Peng Zhang, Xiangdong Liu, Hanhua Tong, Yonggen Lu, Jinquan Li
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2014
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/34e5efd6805b48efb80cb5d95b6c5328
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spelling	oai:doaj.org-article:34e5efd6805b48efb80cb5d95b6c53282021-11-25T05:54:59ZAssociation mapping for important agronomic traits in core collection of rice (Oryza sativa L.) with SSR markers.1932-620310.1371/journal.pone.0111508https://doaj.org/article/34e5efd6805b48efb80cb5d95b6c53282014-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0111508https://doaj.org/toc/1932-6203Mining elite genes within rice landraces is of importance for the improvement of cultivated rice. An association mapping for 12 agronomic traits was carried out using a core collection of rice consisting of 150 landraces (Panel 1) with 274 simple sequence repeat (SSR) markers, and the mapping results were further verified using a Chinese national rice micro-core collection (Panel 2) and a collection from a global molecular breeding program (Panel 3). Our results showed that (1) 76 significant (P<0.05) trait-marker associations were detected using mixed linear model (MLM) within Panel 1 in two years, among which 32% were identical with previously mapped QTLs, and 11 significant associations had >10% explained ratio of genetic variation; (2) A total of seven aforementioned trait-marker associations were verified within Panel 2 and 3 when using a general linear model (GLM) and 55 SSR markers of the 76 significant trait-marker associations. However, no significant trait-marker association was found to be identical within three panels when using the MLM model; (3) several desirable alleles of the loci which showed significant trait-marker associations were identified. The research provided important information for further mining these elite genes within rice landraces and using them for rice breeding.Peng ZhangXiangdong LiuHanhua TongYonggen LuJinquan LiPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 9, Iss 10, p e111508 (2014)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Peng Zhang Xiangdong Liu Hanhua Tong Yonggen Lu Jinquan Li Association mapping for important agronomic traits in core collection of rice (Oryza sativa L.) with SSR markers.
description	Mining elite genes within rice landraces is of importance for the improvement of cultivated rice. An association mapping for 12 agronomic traits was carried out using a core collection of rice consisting of 150 landraces (Panel 1) with 274 simple sequence repeat (SSR) markers, and the mapping results were further verified using a Chinese national rice micro-core collection (Panel 2) and a collection from a global molecular breeding program (Panel 3). Our results showed that (1) 76 significant (P<0.05) trait-marker associations were detected using mixed linear model (MLM) within Panel 1 in two years, among which 32% were identical with previously mapped QTLs, and 11 significant associations had >10% explained ratio of genetic variation; (2) A total of seven aforementioned trait-marker associations were verified within Panel 2 and 3 when using a general linear model (GLM) and 55 SSR markers of the 76 significant trait-marker associations. However, no significant trait-marker association was found to be identical within three panels when using the MLM model; (3) several desirable alleles of the loci which showed significant trait-marker associations were identified. The research provided important information for further mining these elite genes within rice landraces and using them for rice breeding.
format	article
author	Peng Zhang Xiangdong Liu Hanhua Tong Yonggen Lu Jinquan Li
author_facet	Peng Zhang Xiangdong Liu Hanhua Tong Yonggen Lu Jinquan Li
author_sort	Peng Zhang
title	Association mapping for important agronomic traits in core collection of rice (Oryza sativa L.) with SSR markers.
title_short	Association mapping for important agronomic traits in core collection of rice (Oryza sativa L.) with SSR markers.
title_full	Association mapping for important agronomic traits in core collection of rice (Oryza sativa L.) with SSR markers.
title_fullStr	Association mapping for important agronomic traits in core collection of rice (Oryza sativa L.) with SSR markers.
title_full_unstemmed	Association mapping for important agronomic traits in core collection of rice (Oryza sativa L.) with SSR markers.
title_sort	association mapping for important agronomic traits in core collection of rice (oryza sativa l.) with ssr markers.
publisher	Public Library of Science (PLoS)
publishDate	2014
url	https://doaj.org/article/34e5efd6805b48efb80cb5d95b6c5328
work_keys_str_mv	AT pengzhang associationmappingforimportantagronomictraitsincorecollectionofriceoryzasativalwithssrmarkers AT xiangdongliu associationmappingforimportantagronomictraitsincorecollectionofriceoryzasativalwithssrmarkers AT hanhuatong associationmappingforimportantagronomictraitsincorecollectionofriceoryzasativalwithssrmarkers AT yonggenlu associationmappingforimportantagronomictraitsincorecollectionofriceoryzasativalwithssrmarkers AT jinquanli associationmappingforimportantagronomictraitsincorecollectionofriceoryzasativalwithssrmarkers
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Association mapping for important agronomic traits in core collection of rice (Oryza sativa L.) with SSR markers.

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