Identifying loci influencing 1,000-kernel weight in wheat by microsatellite screening for evidence of selection during breeding.

Chinese wheat mini core collection (262 accessions) was genotyped at 531 microsatellite loci representing a mean marker density of 5.1 cM. One-thousand-kernel weights (TKW) of lines were measured in five trials (three environments in four growing seasons). Structure analysis based on 42 unlinked SSR...

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Autores principales:	Lanfen Wang, Hongmei Ge, Chenyang Hao, Yushen Dong, Xueyong Zhang
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/d97681d7bc2046548cbcd0d0389ac782
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spelling	oai:doaj.org-article:d97681d7bc2046548cbcd0d0389ac7822021-11-18T07:28:51ZIdentifying loci influencing 1,000-kernel weight in wheat by microsatellite screening for evidence of selection during breeding.1932-620310.1371/journal.pone.0029432https://doaj.org/article/d97681d7bc2046548cbcd0d0389ac7822012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22328917/?tool=EBIhttps://doaj.org/toc/1932-6203Chinese wheat mini core collection (262 accessions) was genotyped at 531 microsatellite loci representing a mean marker density of 5.1 cM. One-thousand-kernel weights (TKW) of lines were measured in five trials (three environments in four growing seasons). Structure analysis based on 42 unlinked SSR loci indicated that the materials formed two sub-populations, viz., landraces and modern varieties. A large difference in TKW (7.08 g, P<0.001) was found between the two sub-groups. Therefore, TKW is a major yield component that was improved in the past 6 decades; it increased from a mean 31.5 g in the 1940s to 44.64 g in the 2000s, representing a 2.19 g increase in each decade. Analyses based on a mixed linear model (MLM), population structure (Q) and relative kinship (K) revealed 22 SSR loci that were significantly associated with mean TKW (MTKW) of the five trials estimated by the best linear unbiased predictor (BLUP) method. They were mainly distributed on chromosomes of homoeologous groups 1, 2, 3, 5 and 7. Six loci, cfa2234-3A, gwm156-3B, barc56-5A, gwm234-5B, wmc17-7A and cfa2257-7A individually explained more than 11.84% of the total phenotypic variation. Favored alleles for breeding at the 22 loci were inferred according to their estimated effects on MTKW based on mean difference of varieties grouped by genotypes. Statistical simulation showed that these favored alleles have additive genetic effects. Frequency changes of alleles at loci associated with TKW are much more dramatic than those at neutral loci between the sub-groups. The numbers of favored alleles in modern varieties indicate there is still considerable genetic potential for their use as markers for genome selection of TKW in wheat breeding. Alleles that can be used globally to increase TKW were inferred according to their distribution by latitude and frequency of changes between landraces and the modern varieties.Lanfen WangHongmei GeChenyang HaoYushen DongXueyong ZhangPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 2, p e29432 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Lanfen Wang Hongmei Ge Chenyang Hao Yushen Dong Xueyong Zhang Identifying loci influencing 1,000-kernel weight in wheat by microsatellite screening for evidence of selection during breeding.
description	Chinese wheat mini core collection (262 accessions) was genotyped at 531 microsatellite loci representing a mean marker density of 5.1 cM. One-thousand-kernel weights (TKW) of lines were measured in five trials (three environments in four growing seasons). Structure analysis based on 42 unlinked SSR loci indicated that the materials formed two sub-populations, viz., landraces and modern varieties. A large difference in TKW (7.08 g, P<0.001) was found between the two sub-groups. Therefore, TKW is a major yield component that was improved in the past 6 decades; it increased from a mean 31.5 g in the 1940s to 44.64 g in the 2000s, representing a 2.19 g increase in each decade. Analyses based on a mixed linear model (MLM), population structure (Q) and relative kinship (K) revealed 22 SSR loci that were significantly associated with mean TKW (MTKW) of the five trials estimated by the best linear unbiased predictor (BLUP) method. They were mainly distributed on chromosomes of homoeologous groups 1, 2, 3, 5 and 7. Six loci, cfa2234-3A, gwm156-3B, barc56-5A, gwm234-5B, wmc17-7A and cfa2257-7A individually explained more than 11.84% of the total phenotypic variation. Favored alleles for breeding at the 22 loci were inferred according to their estimated effects on MTKW based on mean difference of varieties grouped by genotypes. Statistical simulation showed that these favored alleles have additive genetic effects. Frequency changes of alleles at loci associated with TKW are much more dramatic than those at neutral loci between the sub-groups. The numbers of favored alleles in modern varieties indicate there is still considerable genetic potential for their use as markers for genome selection of TKW in wheat breeding. Alleles that can be used globally to increase TKW were inferred according to their distribution by latitude and frequency of changes between landraces and the modern varieties.
format	article
author	Lanfen Wang Hongmei Ge Chenyang Hao Yushen Dong Xueyong Zhang
author_facet	Lanfen Wang Hongmei Ge Chenyang Hao Yushen Dong Xueyong Zhang
author_sort	Lanfen Wang
title	Identifying loci influencing 1,000-kernel weight in wheat by microsatellite screening for evidence of selection during breeding.
title_short	Identifying loci influencing 1,000-kernel weight in wheat by microsatellite screening for evidence of selection during breeding.
title_full	Identifying loci influencing 1,000-kernel weight in wheat by microsatellite screening for evidence of selection during breeding.
title_fullStr	Identifying loci influencing 1,000-kernel weight in wheat by microsatellite screening for evidence of selection during breeding.
title_full_unstemmed	Identifying loci influencing 1,000-kernel weight in wheat by microsatellite screening for evidence of selection during breeding.
title_sort	identifying loci influencing 1,000-kernel weight in wheat by microsatellite screening for evidence of selection during breeding.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/d97681d7bc2046548cbcd0d0389ac782
work_keys_str_mv	AT lanfenwang identifyinglociinfluencing1000kernelweightinwheatbymicrosatellitescreeningforevidenceofselectionduringbreeding AT hongmeige identifyinglociinfluencing1000kernelweightinwheatbymicrosatellitescreeningforevidenceofselectionduringbreeding AT chenyanghao identifyinglociinfluencing1000kernelweightinwheatbymicrosatellitescreeningforevidenceofselectionduringbreeding AT yushendong identifyinglociinfluencing1000kernelweightinwheatbymicrosatellitescreeningforevidenceofselectionduringbreeding AT xueyongzhang identifyinglociinfluencing1000kernelweightinwheatbymicrosatellitescreeningforevidenceofselectionduringbreeding
_version_	1718423441388863488

Identifying loci influencing 1,000-kernel weight in wheat by microsatellite screening for evidence of selection during breeding.

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