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Genome-wide genetic dissection of germplasm resources and implications for breeding by design in soybean
“Breeding by Design” as a concept described by Peleman and van der Voort aims to bring together superior alleles for all genes of agronomic importance from potential genetic resources. This might be achievable through high-resolution allele detection based on precise QTL (quantitative trait locus/lo...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Japanese Society of Breeding
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3406800/ https://www.ncbi.nlm.nih.gov/pubmed/23136489 http://dx.doi.org/10.1270/jsbbs.61.495 |
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author | Gai, Junyi Chen, Lei Zhang, Yinghu Zhao, Tuanjie Xing, Guangnan Xing, Han |
author_facet | Gai, Junyi Chen, Lei Zhang, Yinghu Zhao, Tuanjie Xing, Guangnan Xing, Han |
author_sort | Gai, Junyi |
collection | PubMed |
description | “Breeding by Design” as a concept described by Peleman and van der Voort aims to bring together superior alleles for all genes of agronomic importance from potential genetic resources. This might be achievable through high-resolution allele detection based on precise QTL (quantitative trait locus/loci) mapping of potential parental resources. The present paper reviews the works at the Chinese National Center for Soybean Improvement (NCSI) on exploration of QTL and their superior alleles of agronomic traits for genetic dissection of germplasm resources in soybeans towards practicing “Breeding by Design”. Among the major germplasm resources, i.e. released commercial cultivar (RC), farmers’ landrace (LR) and annual wild soybean accession (WS), the RC was recognized as the primary potential adapted parental sources, with a great number of new alleles (45.9%) having emerged and accumulated during the 90 years’ scientific breeding processes. A mapping strategy, i.e. a full model procedure (including additive (A), epistasis (AA), A × environment (E) and AA × E effects), scanning with QTLNetwork2.0 and followed by verification with other procedures, was suggested and used for the experimental data when the underlying genetic model was usually unknown. In total, 110 data sets of 81 agronomically important traits were analyzed for their QTL, with 14.5% of the data sets showing major QTL (contribution rate more than 10.0% for each QTL), 55.5% showing a few major QTL but more small QTL, and 30.0% having only small QTL. In addition to the detected QTL, the collective unmapped minor QTL sometimes accounted for more than 50% of the genetic variation in a number of traits. Integrated with linkage mapping, association mappings were conducted on germplasm populations and validated to be able to provide complete information on multiple QTL and their multiple alleles. Accordingly, the QTL and their alleles of agronomic traits for large samples of RC, LR and WS were identified and then the QTL-allele matrices were established. Based on which the parental materials can be chosen for complementary recombination among loci and alleles to make the crossing plans genetically optimized. This approach has provided a way towards breeding by design, but the accuracy will depend on the precision of the loci and allele matrices. |
format | Online Article Text |
id | pubmed-3406800 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Japanese Society of Breeding |
record_format | MEDLINE/PubMed |
spelling | pubmed-34068002012-11-07 Genome-wide genetic dissection of germplasm resources and implications for breeding by design in soybean Gai, Junyi Chen, Lei Zhang, Yinghu Zhao, Tuanjie Xing, Guangnan Xing, Han Breed Sci Review “Breeding by Design” as a concept described by Peleman and van der Voort aims to bring together superior alleles for all genes of agronomic importance from potential genetic resources. This might be achievable through high-resolution allele detection based on precise QTL (quantitative trait locus/loci) mapping of potential parental resources. The present paper reviews the works at the Chinese National Center for Soybean Improvement (NCSI) on exploration of QTL and their superior alleles of agronomic traits for genetic dissection of germplasm resources in soybeans towards practicing “Breeding by Design”. Among the major germplasm resources, i.e. released commercial cultivar (RC), farmers’ landrace (LR) and annual wild soybean accession (WS), the RC was recognized as the primary potential adapted parental sources, with a great number of new alleles (45.9%) having emerged and accumulated during the 90 years’ scientific breeding processes. A mapping strategy, i.e. a full model procedure (including additive (A), epistasis (AA), A × environment (E) and AA × E effects), scanning with QTLNetwork2.0 and followed by verification with other procedures, was suggested and used for the experimental data when the underlying genetic model was usually unknown. In total, 110 data sets of 81 agronomically important traits were analyzed for their QTL, with 14.5% of the data sets showing major QTL (contribution rate more than 10.0% for each QTL), 55.5% showing a few major QTL but more small QTL, and 30.0% having only small QTL. In addition to the detected QTL, the collective unmapped minor QTL sometimes accounted for more than 50% of the genetic variation in a number of traits. Integrated with linkage mapping, association mappings were conducted on germplasm populations and validated to be able to provide complete information on multiple QTL and their multiple alleles. Accordingly, the QTL and their alleles of agronomic traits for large samples of RC, LR and WS were identified and then the QTL-allele matrices were established. Based on which the parental materials can be chosen for complementary recombination among loci and alleles to make the crossing plans genetically optimized. This approach has provided a way towards breeding by design, but the accuracy will depend on the precision of the loci and allele matrices. Japanese Society of Breeding 2012-01 2012-02-04 /pmc/articles/PMC3406800/ /pubmed/23136489 http://dx.doi.org/10.1270/jsbbs.61.495 Text en Copyright © 2012 by JAPANESE SOCIETY OF BREEDING http://creativecommons.org/licenses/by-nc-nd/3.0 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 work is properly cited. |
spellingShingle | Review Gai, Junyi Chen, Lei Zhang, Yinghu Zhao, Tuanjie Xing, Guangnan Xing, Han Genome-wide genetic dissection of germplasm resources and implications for breeding by design in soybean |
title | Genome-wide genetic dissection of germplasm resources and implications for breeding by design in soybean |
title_full | Genome-wide genetic dissection of germplasm resources and implications for breeding by design in soybean |
title_fullStr | Genome-wide genetic dissection of germplasm resources and implications for breeding by design in soybean |
title_full_unstemmed | Genome-wide genetic dissection of germplasm resources and implications for breeding by design in soybean |
title_short | Genome-wide genetic dissection of germplasm resources and implications for breeding by design in soybean |
title_sort | genome-wide genetic dissection of germplasm resources and implications for breeding by design in soybean |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3406800/ https://www.ncbi.nlm.nih.gov/pubmed/23136489 http://dx.doi.org/10.1270/jsbbs.61.495 |
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