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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2014-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0111508 |
| _version_ | 1819100873720070144 |
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| 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 |
| collection | DOAJ |
| 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. |
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| id | doaj.art-34e5efd6805b48efb80cb5d95b6c5328 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-22T01:09:42Z |
| publishDate | 2014-01-01 |
| publisher | Public Library of Science (PLoS) |
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| spelling | doaj.art-34e5efd6805b48efb80cb5d95b6c53282022-12-21T18:43:59ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-01910e11150810.1371/journal.pone.0111508Association mapping for important agronomic traits in core collection of rice (Oryza sativa L.) with SSR markers.Peng ZhangXiangdong LiuHanhua TongYonggen LuJinquan LiMining 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.https://doi.org/10.1371/journal.pone.0111508 |
| spellingShingle | 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. PLoS ONE |
| title | 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_short | 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 |
| url | https://doi.org/10.1371/journal.pone.0111508 |
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