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QTL mapping for grain yield and three yield components in a population derived from two high-yielding spring wheat cultivars

KEY MESSAGE: Four genomic regions on chromosomes 4A, 6A, 7B, and 7D were discovered, each with multiple tightly linked QTL (QTL clusters) associated with two to three yield components. The 7D QTL cluster was associated with grain yield, fertile spikelet number per spike, thousand kernel weight, and...

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Autores principales: Isham, Kyle, Wang, Rui, Zhao, Weidong, Wheeler, Justin, Klassen, Natalie, Akhunov, Eduard, Chen, Jianli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8263538/
https://www.ncbi.nlm.nih.gov/pubmed/33687497
http://dx.doi.org/10.1007/s00122-021-03806-1
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author Isham, Kyle
Wang, Rui
Zhao, Weidong
Wheeler, Justin
Klassen, Natalie
Akhunov, Eduard
Chen, Jianli
author_facet Isham, Kyle
Wang, Rui
Zhao, Weidong
Wheeler, Justin
Klassen, Natalie
Akhunov, Eduard
Chen, Jianli
author_sort Isham, Kyle
collection PubMed
description KEY MESSAGE: Four genomic regions on chromosomes 4A, 6A, 7B, and 7D were discovered, each with multiple tightly linked QTL (QTL clusters) associated with two to three yield components. The 7D QTL cluster was associated with grain yield, fertile spikelet number per spike, thousand kernel weight, and heading date. It was located in the flanking region of FT-D1, a homolog gene of Arabidopsis FLOWERING LOCUS T, a major gene that regulates wheat flowering. ABSTRACT: Genetic manipulation of yield components is an important approach to increase grain yield in wheat (Triticum aestivum). The present study used a mapping population comprised of 181 doubled haploid lines derived from two high-yielding spring wheat cultivars, UI Platinum and LCS Star. The two cultivars and the derived population were assessed for six traits in eight field trials primarily in Idaho in the USA. The six traits were grain yield, fertile spikelet number per spike, productive tiller number per unit area, thousand kernel weight, heading date, and plant height. Quantitative Trait Locus (QTL) analysis of the six traits was conducted using 14,236 single-nucleotide polymorphism (SNP) markers generated from the wheat 90 K SNP and the exome and promoter capture arrays. Of the 19 QTL detected, 14 were clustered in four chromosomal regions on 4A, 6A, 7B and 7D. Each of the four QTL clusters was associated with multiple yield component traits, and these traits were often negatively correlated with one another. As a result, additional QTL dissection studies are needed to optimize trade-offs among yield component traits for specific production environments. Kompetitive allele-specific PCR markers for the four QTL clusters were developed and assessed in an elite spring wheat panel of 170 lines, and eight of the 14 QTL were validated. The two parents contain complementary alleles for the four QTL clusters, suggesting the possibility of improving grain yield via genetic recombination of yield component loci. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at (10.1007/s00122-021-03806-1).
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spelling pubmed-82635382021-07-20 QTL mapping for grain yield and three yield components in a population derived from two high-yielding spring wheat cultivars Isham, Kyle Wang, Rui Zhao, Weidong Wheeler, Justin Klassen, Natalie Akhunov, Eduard Chen, Jianli Theor Appl Genet Original Article KEY MESSAGE: Four genomic regions on chromosomes 4A, 6A, 7B, and 7D were discovered, each with multiple tightly linked QTL (QTL clusters) associated with two to three yield components. The 7D QTL cluster was associated with grain yield, fertile spikelet number per spike, thousand kernel weight, and heading date. It was located in the flanking region of FT-D1, a homolog gene of Arabidopsis FLOWERING LOCUS T, a major gene that regulates wheat flowering. ABSTRACT: Genetic manipulation of yield components is an important approach to increase grain yield in wheat (Triticum aestivum). The present study used a mapping population comprised of 181 doubled haploid lines derived from two high-yielding spring wheat cultivars, UI Platinum and LCS Star. The two cultivars and the derived population were assessed for six traits in eight field trials primarily in Idaho in the USA. The six traits were grain yield, fertile spikelet number per spike, productive tiller number per unit area, thousand kernel weight, heading date, and plant height. Quantitative Trait Locus (QTL) analysis of the six traits was conducted using 14,236 single-nucleotide polymorphism (SNP) markers generated from the wheat 90 K SNP and the exome and promoter capture arrays. Of the 19 QTL detected, 14 were clustered in four chromosomal regions on 4A, 6A, 7B and 7D. Each of the four QTL clusters was associated with multiple yield component traits, and these traits were often negatively correlated with one another. As a result, additional QTL dissection studies are needed to optimize trade-offs among yield component traits for specific production environments. Kompetitive allele-specific PCR markers for the four QTL clusters were developed and assessed in an elite spring wheat panel of 170 lines, and eight of the 14 QTL were validated. The two parents contain complementary alleles for the four QTL clusters, suggesting the possibility of improving grain yield via genetic recombination of yield component loci. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at (10.1007/s00122-021-03806-1). Springer Berlin Heidelberg 2021-03-09 2021 /pmc/articles/PMC8263538/ /pubmed/33687497 http://dx.doi.org/10.1007/s00122-021-03806-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Isham, Kyle
Wang, Rui
Zhao, Weidong
Wheeler, Justin
Klassen, Natalie
Akhunov, Eduard
Chen, Jianli
QTL mapping for grain yield and three yield components in a population derived from two high-yielding spring wheat cultivars
title QTL mapping for grain yield and three yield components in a population derived from two high-yielding spring wheat cultivars
title_full QTL mapping for grain yield and three yield components in a population derived from two high-yielding spring wheat cultivars
title_fullStr QTL mapping for grain yield and three yield components in a population derived from two high-yielding spring wheat cultivars
title_full_unstemmed QTL mapping for grain yield and three yield components in a population derived from two high-yielding spring wheat cultivars
title_short QTL mapping for grain yield and three yield components in a population derived from two high-yielding spring wheat cultivars
title_sort qtl mapping for grain yield and three yield components in a population derived from two high-yielding spring wheat cultivars
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8263538/
https://www.ncbi.nlm.nih.gov/pubmed/33687497
http://dx.doi.org/10.1007/s00122-021-03806-1
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