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
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Publicado: Public Library of Science (PLoS) 2014
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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
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