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Statistical Inference of Selection and Divergence of the Rice Blast Resistance Gene Pi-ta
The resistance gene Pi-ta has been effectively used to control rice blast disease, but some populations of cultivated and wild rice have evolved resistance. Insights into the evolutionary processes that led to this resistance during crop domestication may be inferred from the population history of d...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Genetics Society of America
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4267938/ https://www.ncbi.nlm.nih.gov/pubmed/25335927 http://dx.doi.org/10.1534/g3.114.014969 |
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author | Amei, Amei Lee, Seonghee Mysore, Kirankumar S. Jia, Yulin |
author_facet | Amei, Amei Lee, Seonghee Mysore, Kirankumar S. Jia, Yulin |
author_sort | Amei, Amei |
collection | PubMed |
description | The resistance gene Pi-ta has been effectively used to control rice blast disease, but some populations of cultivated and wild rice have evolved resistance. Insights into the evolutionary processes that led to this resistance during crop domestication may be inferred from the population history of domesticated and wild rice strains. In this study, we applied a recently developed statistical method, time-dependent Poisson random field model, to examine the evolution of the Pi-ta gene in cultivated and weedy rice. Our study suggests that the Pi-ta gene may have more recently introgressed into cultivated rice, indica and japonica, and U.S. weedy rice from the wild species, O. rufipogon. In addition, the Pi-ta gene is under positive selection in japonica, tropical japonica, U.S. cultivars and U.S. weedy rice. We also found that sequences of two domains of the Pi-ta gene, the nucleotide binding site and leucine-rich repeat domain, are highly conserved among all rice accessions examined. Our results provide a valuable analytical tool for understanding the evolution of disease resistance genes in crop plants. |
format | Online Article Text |
id | pubmed-4267938 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Genetics Society of America |
record_format | MEDLINE/PubMed |
spelling | pubmed-42679382014-12-23 Statistical Inference of Selection and Divergence of the Rice Blast Resistance Gene Pi-ta Amei, Amei Lee, Seonghee Mysore, Kirankumar S. Jia, Yulin G3 (Bethesda) Investigations The resistance gene Pi-ta has been effectively used to control rice blast disease, but some populations of cultivated and wild rice have evolved resistance. Insights into the evolutionary processes that led to this resistance during crop domestication may be inferred from the population history of domesticated and wild rice strains. In this study, we applied a recently developed statistical method, time-dependent Poisson random field model, to examine the evolution of the Pi-ta gene in cultivated and weedy rice. Our study suggests that the Pi-ta gene may have more recently introgressed into cultivated rice, indica and japonica, and U.S. weedy rice from the wild species, O. rufipogon. In addition, the Pi-ta gene is under positive selection in japonica, tropical japonica, U.S. cultivars and U.S. weedy rice. We also found that sequences of two domains of the Pi-ta gene, the nucleotide binding site and leucine-rich repeat domain, are highly conserved among all rice accessions examined. Our results provide a valuable analytical tool for understanding the evolution of disease resistance genes in crop plants. Genetics Society of America 2014-10-21 /pmc/articles/PMC4267938/ /pubmed/25335927 http://dx.doi.org/10.1534/g3.114.014969 Text en Copyright © 2014 Amei et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution Unported License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Investigations Amei, Amei Lee, Seonghee Mysore, Kirankumar S. Jia, Yulin Statistical Inference of Selection and Divergence of the Rice Blast Resistance Gene Pi-ta |
title | Statistical Inference of Selection and Divergence of the Rice Blast Resistance Gene Pi-ta |
title_full | Statistical Inference of Selection and Divergence of the Rice Blast Resistance Gene Pi-ta |
title_fullStr | Statistical Inference of Selection and Divergence of the Rice Blast Resistance Gene Pi-ta |
title_full_unstemmed | Statistical Inference of Selection and Divergence of the Rice Blast Resistance Gene Pi-ta |
title_short | Statistical Inference of Selection and Divergence of the Rice Blast Resistance Gene Pi-ta |
title_sort | statistical inference of selection and divergence of the rice blast resistance gene pi-ta |
topic | Investigations |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4267938/ https://www.ncbi.nlm.nih.gov/pubmed/25335927 http://dx.doi.org/10.1534/g3.114.014969 |
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