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Functional mutation allele mining of plant architecture and yield-related agronomic traits and characterization of their effects in wheat

BACKGROUND: Wheat mutant resources with phenotypic variation have been developed in recent years. These mutants might carry favorable mutation alleles, which have the potential to be utilized in the breeding process. Plant architecture and yield-related features are important agronomic traits for wh...

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Autores principales: Guo, Huijun, Xiong, Hongchun, Xie, Yongdun, Zhao, Linshu, Gu, Jiayu, Zhao, Shirong, Ding, Yuping, Liu, Luxiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6937682/
https://www.ncbi.nlm.nih.gov/pubmed/31888475
http://dx.doi.org/10.1186/s12863-019-0804-2
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author Guo, Huijun
Xiong, Hongchun
Xie, Yongdun
Zhao, Linshu
Gu, Jiayu
Zhao, Shirong
Ding, Yuping
Liu, Luxiang
author_facet Guo, Huijun
Xiong, Hongchun
Xie, Yongdun
Zhao, Linshu
Gu, Jiayu
Zhao, Shirong
Ding, Yuping
Liu, Luxiang
author_sort Guo, Huijun
collection PubMed
description BACKGROUND: Wheat mutant resources with phenotypic variation have been developed in recent years. These mutants might carry favorable mutation alleles, which have the potential to be utilized in the breeding process. Plant architecture and yield-related features are important agronomic traits for wheat breeders and mining favorable alleles of these traits will improve wheat characteristics. RESULTS: Here we used 190 wheat phenotypic mutants as material and by analyzing their SNP variation and phenotypic data, mutation alleles for plant architecture and yield-related traits were identified, and the genetic effects of these alleles were evaluated. In total, 32 mutation alleles, including three pleiotropic alleles, significantly associated with agronomic traits were identified from the 190 wheat mutant lines. The SNPs were distributed on 12 chromosomes and were associated with plant height (PH), tiller number, flag leaf angle (FLA), thousand grain weight (TGW), and other yield-related traits. Further phenotypic analysis of multiple lines carrying the same mutant allele was performed to determine the effect of the allele on the traits of interest. PH-associated SNPs on chromosomes 2BL, 3BS, 3DL, and 5DL might show additive effects, reducing PH by 10.0 cm to 31.3 cm compared with wild type, which means that these alleles may be favorable for wheat improvement. Only unfavorable mutation alleles that reduced TGW and tiller number were identified. A region on chromosome 5DL with mutation alleles for PH and TGW contained several long ncRNAs, and their sequences shared more than 90% identity with cytokinin oxidase/dehydrogenase genes. Some of the mutation alleles we mined were colocalized with previously reported QTLs or genes while others were novel; these novel alleles could also result in phenotypic variation. CONCLUSION: Our results demonstrate that favorable mutation alleles are present in mutant resources, and the region between 409.5 to 419.8 Mb on chromosome 5DL affects wheat plant height and thousand grain weight.
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spelling pubmed-69376822019-12-31 Functional mutation allele mining of plant architecture and yield-related agronomic traits and characterization of their effects in wheat Guo, Huijun Xiong, Hongchun Xie, Yongdun Zhao, Linshu Gu, Jiayu Zhao, Shirong Ding, Yuping Liu, Luxiang BMC Genet Research Article BACKGROUND: Wheat mutant resources with phenotypic variation have been developed in recent years. These mutants might carry favorable mutation alleles, which have the potential to be utilized in the breeding process. Plant architecture and yield-related features are important agronomic traits for wheat breeders and mining favorable alleles of these traits will improve wheat characteristics. RESULTS: Here we used 190 wheat phenotypic mutants as material and by analyzing their SNP variation and phenotypic data, mutation alleles for plant architecture and yield-related traits were identified, and the genetic effects of these alleles were evaluated. In total, 32 mutation alleles, including three pleiotropic alleles, significantly associated with agronomic traits were identified from the 190 wheat mutant lines. The SNPs were distributed on 12 chromosomes and were associated with plant height (PH), tiller number, flag leaf angle (FLA), thousand grain weight (TGW), and other yield-related traits. Further phenotypic analysis of multiple lines carrying the same mutant allele was performed to determine the effect of the allele on the traits of interest. PH-associated SNPs on chromosomes 2BL, 3BS, 3DL, and 5DL might show additive effects, reducing PH by 10.0 cm to 31.3 cm compared with wild type, which means that these alleles may be favorable for wheat improvement. Only unfavorable mutation alleles that reduced TGW and tiller number were identified. A region on chromosome 5DL with mutation alleles for PH and TGW contained several long ncRNAs, and their sequences shared more than 90% identity with cytokinin oxidase/dehydrogenase genes. Some of the mutation alleles we mined were colocalized with previously reported QTLs or genes while others were novel; these novel alleles could also result in phenotypic variation. CONCLUSION: Our results demonstrate that favorable mutation alleles are present in mutant resources, and the region between 409.5 to 419.8 Mb on chromosome 5DL affects wheat plant height and thousand grain weight. BioMed Central 2019-12-30 /pmc/articles/PMC6937682/ /pubmed/31888475 http://dx.doi.org/10.1186/s12863-019-0804-2 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Guo, Huijun
Xiong, Hongchun
Xie, Yongdun
Zhao, Linshu
Gu, Jiayu
Zhao, Shirong
Ding, Yuping
Liu, Luxiang
Functional mutation allele mining of plant architecture and yield-related agronomic traits and characterization of their effects in wheat
title Functional mutation allele mining of plant architecture and yield-related agronomic traits and characterization of their effects in wheat
title_full Functional mutation allele mining of plant architecture and yield-related agronomic traits and characterization of their effects in wheat
title_fullStr Functional mutation allele mining of plant architecture and yield-related agronomic traits and characterization of their effects in wheat
title_full_unstemmed Functional mutation allele mining of plant architecture and yield-related agronomic traits and characterization of their effects in wheat
title_short Functional mutation allele mining of plant architecture and yield-related agronomic traits and characterization of their effects in wheat
title_sort functional mutation allele mining of plant architecture and yield-related agronomic traits and characterization of their effects in wheat
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6937682/
https://www.ncbi.nlm.nih.gov/pubmed/31888475
http://dx.doi.org/10.1186/s12863-019-0804-2
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