Inferring population history from fine-scale spatial genetic analysis in Oryza rufipogon (Poaceae)
Determining the genetic structure of an in situ conserved population can provide insight into the dynamics of population genetic processes associated with successful plant conservation. We used 21 microsatellite loci to analyse the genetic relationships among individuals (n= 813) collected from a sm...
| Autores principales: | , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Wiley
2006
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/166644 |
| _version_ | 1855528376273469440 |
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| author | Xu, Xian Lu, Bao-Rong Chen, Yolanda H. Xu, Ming Rong, Jun Ye, Pingyang Chen, Jiakuan Song, Zhiping |
| author_browse | Chen, Jiakuan Chen, Yolanda H. Lu, Bao-Rong Rong, Jun Song, Zhiping Xu, Ming Xu, Xian Ye, Pingyang |
| author_facet | Xu, Xian Lu, Bao-Rong Chen, Yolanda H. Xu, Ming Rong, Jun Ye, Pingyang Chen, Jiakuan Song, Zhiping |
| author_sort | Xu, Xian |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Determining the genetic structure of an in situ conserved population can provide insight into the dynamics of population genetic processes associated with successful plant conservation. We used 21 microsatellite loci to analyse the genetic relationships among individuals (n= 813) collected from a small Oryza rufipogon population conserved since 1993 in Hunan Province of China. The analysis revealed four distinct genetic subpopulations (FST= 0.145) without geographic isolation. One subpopulation was composed of possible introgressed individuals, two subpopulations were composed of seed recruits and their descendants, and the fourth subpopulation consisted of reintroduced individuals, seed recruits and their descendants. Positive spatial genetic structures were detected by spatial autocorrelation statistics at the population (c. 63 m) and subpopulation levels (11–30 m), but the degree of autocorrelation was stronger at the population level. These results showed that prejudging the cryptic structure is important before autocorrelation analysis for the entire population. Our study suggests that population history can be a significant determinant on population structure for plant restoration projects. |
| format | Journal Article |
| id | CGSpace166644 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2006 |
| publishDateRange | 2006 |
| publishDateSort | 2006 |
| publisher | Wiley |
| publisherStr | Wiley |
| record_format | dspace |
| spelling | CGSpace1666442026-01-05T13:39:57Z Inferring population history from fine-scale spatial genetic analysis in Oryza rufipogon (Poaceae) Xu, Xian Lu, Bao-Rong Chen, Yolanda H. Xu, Ming Rong, Jun Ye, Pingyang Chen, Jiakuan Song, Zhiping genes genetic analysis genetic markers microsatellites wild relatives oryza rufipogon Determining the genetic structure of an in situ conserved population can provide insight into the dynamics of population genetic processes associated with successful plant conservation. We used 21 microsatellite loci to analyse the genetic relationships among individuals (n= 813) collected from a small Oryza rufipogon population conserved since 1993 in Hunan Province of China. The analysis revealed four distinct genetic subpopulations (FST= 0.145) without geographic isolation. One subpopulation was composed of possible introgressed individuals, two subpopulations were composed of seed recruits and their descendants, and the fourth subpopulation consisted of reintroduced individuals, seed recruits and their descendants. Positive spatial genetic structures were detected by spatial autocorrelation statistics at the population (c. 63 m) and subpopulation levels (11–30 m), but the degree of autocorrelation was stronger at the population level. These results showed that prejudging the cryptic structure is important before autocorrelation analysis for the entire population. Our study suggests that population history can be a significant determinant on population structure for plant restoration projects. 2006-05 2024-12-19T12:56:29Z 2024-12-19T12:56:29Z Journal Article https://hdl.handle.net/10568/166644 en Wiley XU, XIAN; LU, BAO‐RONG; CHEN, YOLANDA H.; XU, MING; RONG, JUN; YE, PINGYANG; CHEN, JIAKUAN and SONG, ZHIPING. 2006. Inferring population history from fine-scale spatial genetic analysis in Oryza rufipogon (Poaceae). Molecular Ecology, Volume 15 no. 6 p. 1535-1544 |
| spellingShingle | genes genetic analysis genetic markers microsatellites wild relatives oryza rufipogon Xu, Xian Lu, Bao-Rong Chen, Yolanda H. Xu, Ming Rong, Jun Ye, Pingyang Chen, Jiakuan Song, Zhiping Inferring population history from fine-scale spatial genetic analysis in Oryza rufipogon (Poaceae) |
| title | Inferring population history from fine-scale spatial genetic analysis in Oryza rufipogon (Poaceae) |
| title_full | Inferring population history from fine-scale spatial genetic analysis in Oryza rufipogon (Poaceae) |
| title_fullStr | Inferring population history from fine-scale spatial genetic analysis in Oryza rufipogon (Poaceae) |
| title_full_unstemmed | Inferring population history from fine-scale spatial genetic analysis in Oryza rufipogon (Poaceae) |
| title_short | Inferring population history from fine-scale spatial genetic analysis in Oryza rufipogon (Poaceae) |
| title_sort | inferring population history from fine scale spatial genetic analysis in oryza rufipogon poaceae |
| topic | genes genetic analysis genetic markers microsatellites wild relatives oryza rufipogon |
| url | https://hdl.handle.net/10568/166644 |
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