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Genome-Wide Patterns of Nucleotide Polymorphism in Domesticated Rice

Domesticated Asian rice (Oryza sativa) is one of the oldest domesticated crop species in the world, having fed more people than any other plant in human history. We report the patterns of DNA sequence variation in rice and its wild ancestor, O. rufipogon, across 111 randomly chosen gene fragments, a...

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Autores principales: Caicedo, Ana L, Williamson, Scott H, Hernandez, Ryan D, Boyko, Adam, Fledel-Alon, Adi, York, Thomas L, Polato, Nicholas R, Olsen, Kenneth M, Nielsen, Rasmus, McCouch, Susan R, Bustamante, Carlos D, Purugganan, Michael D
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1994709/
https://www.ncbi.nlm.nih.gov/pubmed/17907810
http://dx.doi.org/10.1371/journal.pgen.0030163
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author Caicedo, Ana L
Williamson, Scott H
Hernandez, Ryan D
Boyko, Adam
Fledel-Alon, Adi
York, Thomas L
Polato, Nicholas R
Olsen, Kenneth M
Nielsen, Rasmus
McCouch, Susan R
Bustamante, Carlos D
Purugganan, Michael D
author_facet Caicedo, Ana L
Williamson, Scott H
Hernandez, Ryan D
Boyko, Adam
Fledel-Alon, Adi
York, Thomas L
Polato, Nicholas R
Olsen, Kenneth M
Nielsen, Rasmus
McCouch, Susan R
Bustamante, Carlos D
Purugganan, Michael D
author_sort Caicedo, Ana L
collection PubMed
description Domesticated Asian rice (Oryza sativa) is one of the oldest domesticated crop species in the world, having fed more people than any other plant in human history. We report the patterns of DNA sequence variation in rice and its wild ancestor, O. rufipogon, across 111 randomly chosen gene fragments, and use these to infer the evolutionary dynamics that led to the origins of rice. There is a genome-wide excess of high-frequency derived single nucleotide polymorphisms (SNPs) in O. sativa varieties, a pattern that has not been reported for other crop species. We developed several alternative models to explain contemporary patterns of polymorphisms in rice, including a (i) selectively neutral population bottleneck model, (ii) bottleneck plus migration model, (iii) multiple selective sweeps model, and (iv) bottleneck plus selective sweeps model. We find that a simple bottleneck model, which has been the dominant demographic model for domesticated species, cannot explain the derived nucleotide polymorphism site frequency spectrum in rice. Instead, a bottleneck model that incorporates selective sweeps, or a more complex demographic model that includes subdivision and gene flow, are more plausible explanations for patterns of variation in domesticated rice varieties. If selective sweeps are indeed the explanation for the observed nucleotide data of domesticated rice, it suggests that strong selection can leave its imprint on genome-wide polymorphism patterns, contrary to expectations that selection results only in a local signature of variation.
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spelling pubmed-19947092007-09-27 Genome-Wide Patterns of Nucleotide Polymorphism in Domesticated Rice Caicedo, Ana L Williamson, Scott H Hernandez, Ryan D Boyko, Adam Fledel-Alon, Adi York, Thomas L Polato, Nicholas R Olsen, Kenneth M Nielsen, Rasmus McCouch, Susan R Bustamante, Carlos D Purugganan, Michael D PLoS Genet Research Article Domesticated Asian rice (Oryza sativa) is one of the oldest domesticated crop species in the world, having fed more people than any other plant in human history. We report the patterns of DNA sequence variation in rice and its wild ancestor, O. rufipogon, across 111 randomly chosen gene fragments, and use these to infer the evolutionary dynamics that led to the origins of rice. There is a genome-wide excess of high-frequency derived single nucleotide polymorphisms (SNPs) in O. sativa varieties, a pattern that has not been reported for other crop species. We developed several alternative models to explain contemporary patterns of polymorphisms in rice, including a (i) selectively neutral population bottleneck model, (ii) bottleneck plus migration model, (iii) multiple selective sweeps model, and (iv) bottleneck plus selective sweeps model. We find that a simple bottleneck model, which has been the dominant demographic model for domesticated species, cannot explain the derived nucleotide polymorphism site frequency spectrum in rice. Instead, a bottleneck model that incorporates selective sweeps, or a more complex demographic model that includes subdivision and gene flow, are more plausible explanations for patterns of variation in domesticated rice varieties. If selective sweeps are indeed the explanation for the observed nucleotide data of domesticated rice, it suggests that strong selection can leave its imprint on genome-wide polymorphism patterns, contrary to expectations that selection results only in a local signature of variation. Public Library of Science 2007-09 2007-09-28 /pmc/articles/PMC1994709/ /pubmed/17907810 http://dx.doi.org/10.1371/journal.pgen.0030163 Text en Copyright: © 2007 Caicedo et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Caicedo, Ana L
Williamson, Scott H
Hernandez, Ryan D
Boyko, Adam
Fledel-Alon, Adi
York, Thomas L
Polato, Nicholas R
Olsen, Kenneth M
Nielsen, Rasmus
McCouch, Susan R
Bustamante, Carlos D
Purugganan, Michael D
Genome-Wide Patterns of Nucleotide Polymorphism in Domesticated Rice
title Genome-Wide Patterns of Nucleotide Polymorphism in Domesticated Rice
title_full Genome-Wide Patterns of Nucleotide Polymorphism in Domesticated Rice
title_fullStr Genome-Wide Patterns of Nucleotide Polymorphism in Domesticated Rice
title_full_unstemmed Genome-Wide Patterns of Nucleotide Polymorphism in Domesticated Rice
title_short Genome-Wide Patterns of Nucleotide Polymorphism in Domesticated Rice
title_sort genome-wide patterns of nucleotide polymorphism in domesticated rice
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1994709/
https://www.ncbi.nlm.nih.gov/pubmed/17907810
http://dx.doi.org/10.1371/journal.pgen.0030163
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