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Island-Model Genomic Selection for Long-Term Genetic Improvement of Autogamous Crops

Acceleration of genetic improvement of autogamous crops such as wheat and rice is necessary to increase cereal production in response to the global food crisis. Population and pedigree methods of breeding, which are based on inbred line selection, are used commonly in the genetic improvement of auto...

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Autores principales: Yabe, Shiori, Yamasaki, Masanori, Ebana, Kaworu, Hayashi, Takeshi, Iwata, Hiroyoshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4846018/
https://www.ncbi.nlm.nih.gov/pubmed/27115872
http://dx.doi.org/10.1371/journal.pone.0153945
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author Yabe, Shiori
Yamasaki, Masanori
Ebana, Kaworu
Hayashi, Takeshi
Iwata, Hiroyoshi
author_facet Yabe, Shiori
Yamasaki, Masanori
Ebana, Kaworu
Hayashi, Takeshi
Iwata, Hiroyoshi
author_sort Yabe, Shiori
collection PubMed
description Acceleration of genetic improvement of autogamous crops such as wheat and rice is necessary to increase cereal production in response to the global food crisis. Population and pedigree methods of breeding, which are based on inbred line selection, are used commonly in the genetic improvement of autogamous crops. These methods, however, produce a few novel combinations of genes in a breeding population. Recurrent selection promotes recombination among genes and produces novel combinations of genes in a breeding population, but it requires inaccurate single-plant evaluation for selection. Genomic selection (GS), which can predict genetic potential of individuals based on their marker genotype, might have high reliability of single-plant evaluation and might be effective in recurrent selection. To evaluate the efficiency of recurrent selection with GS, we conducted simulations using real marker genotype data of rice cultivars. Additionally, we introduced the concept of an “island model” inspired by evolutionary algorithms that might be useful to maintain genetic variation through the breeding process. We conducted GS simulations using real marker genotype data of rice cultivars to evaluate the efficiency of recurrent selection and the island model in an autogamous species. Results demonstrated the importance of producing novel combinations of genes through recurrent selection. An initial population derived from admixture of multiple bi-parental crosses showed larger genetic gains than a population derived from a single bi-parental cross in whole cycles, suggesting the importance of genetic variation in an initial population. The island-model GS better maintained genetic improvement in later generations than the other GS methods, suggesting that the island-model GS can utilize genetic variation in breeding and can retain alleles with small effects in the breeding population. The island-model GS will become a new breeding method that enhances the potential of genomic selection in autogamous crops, especially bringing long-term improvement.
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spelling pubmed-48460182016-05-05 Island-Model Genomic Selection for Long-Term Genetic Improvement of Autogamous Crops Yabe, Shiori Yamasaki, Masanori Ebana, Kaworu Hayashi, Takeshi Iwata, Hiroyoshi PLoS One Research Article Acceleration of genetic improvement of autogamous crops such as wheat and rice is necessary to increase cereal production in response to the global food crisis. Population and pedigree methods of breeding, which are based on inbred line selection, are used commonly in the genetic improvement of autogamous crops. These methods, however, produce a few novel combinations of genes in a breeding population. Recurrent selection promotes recombination among genes and produces novel combinations of genes in a breeding population, but it requires inaccurate single-plant evaluation for selection. Genomic selection (GS), which can predict genetic potential of individuals based on their marker genotype, might have high reliability of single-plant evaluation and might be effective in recurrent selection. To evaluate the efficiency of recurrent selection with GS, we conducted simulations using real marker genotype data of rice cultivars. Additionally, we introduced the concept of an “island model” inspired by evolutionary algorithms that might be useful to maintain genetic variation through the breeding process. We conducted GS simulations using real marker genotype data of rice cultivars to evaluate the efficiency of recurrent selection and the island model in an autogamous species. Results demonstrated the importance of producing novel combinations of genes through recurrent selection. An initial population derived from admixture of multiple bi-parental crosses showed larger genetic gains than a population derived from a single bi-parental cross in whole cycles, suggesting the importance of genetic variation in an initial population. The island-model GS better maintained genetic improvement in later generations than the other GS methods, suggesting that the island-model GS can utilize genetic variation in breeding and can retain alleles with small effects in the breeding population. The island-model GS will become a new breeding method that enhances the potential of genomic selection in autogamous crops, especially bringing long-term improvement. Public Library of Science 2016-04-26 /pmc/articles/PMC4846018/ /pubmed/27115872 http://dx.doi.org/10.1371/journal.pone.0153945 Text en © 2016 Yabe et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Yabe, Shiori
Yamasaki, Masanori
Ebana, Kaworu
Hayashi, Takeshi
Iwata, Hiroyoshi
Island-Model Genomic Selection for Long-Term Genetic Improvement of Autogamous Crops
title Island-Model Genomic Selection for Long-Term Genetic Improvement of Autogamous Crops
title_full Island-Model Genomic Selection for Long-Term Genetic Improvement of Autogamous Crops
title_fullStr Island-Model Genomic Selection for Long-Term Genetic Improvement of Autogamous Crops
title_full_unstemmed Island-Model Genomic Selection for Long-Term Genetic Improvement of Autogamous Crops
title_short Island-Model Genomic Selection for Long-Term Genetic Improvement of Autogamous Crops
title_sort island-model genomic selection for long-term genetic improvement of autogamous crops
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4846018/
https://www.ncbi.nlm.nih.gov/pubmed/27115872
http://dx.doi.org/10.1371/journal.pone.0153945
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