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Identification and validation of a major QTL for kernel length in bread wheat based on two F(3) biparental populations
BACKGROUND: High yield and quality are essential goals of wheat (Triticum aestivum L.) breeding. Kernel length (KL), as a main component of kernel size, can indirectly change kernel weight and then affects yield. Identification and utilization of excellent loci in wheat genetic resources is of great...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9121568/ https://www.ncbi.nlm.nih.gov/pubmed/35590264 http://dx.doi.org/10.1186/s12864-022-08608-3 |
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author | Xie, Xinlin Li, Shuiqin Liu, Hang Xu, Qiang Tang, Huaping Mu, Yang Deng, Mei Jiang, Qiantao Chen, Guoyue Qi, Pengfei Li, Wei Pu, Zhien Ahsan Habib Wei, Yuming Zheng, Youliang Lan, Xiujin Ma, Jian |
author_facet | Xie, Xinlin Li, Shuiqin Liu, Hang Xu, Qiang Tang, Huaping Mu, Yang Deng, Mei Jiang, Qiantao Chen, Guoyue Qi, Pengfei Li, Wei Pu, Zhien Ahsan Habib Wei, Yuming Zheng, Youliang Lan, Xiujin Ma, Jian |
author_sort | Xie, Xinlin |
collection | PubMed |
description | BACKGROUND: High yield and quality are essential goals of wheat (Triticum aestivum L.) breeding. Kernel length (KL), as a main component of kernel size, can indirectly change kernel weight and then affects yield. Identification and utilization of excellent loci in wheat genetic resources is of great significance for cultivating high yield and quality wheat. Genetic identification of loci for KL has been performed mainly through genome-wide association study in natural populations or QTL mapping based on genetic linkage map in high generation populations. RESULTS: In this study, an F(3) biparental population derived from the cross between an EMS mutant BLS1 selected from an EMS-induced wheat genotype LJ2135 (derived from the hybrid progeny of a spelt wheat (T. spelta L.) and a common wheat) mutant bank and a local breeding line 99E18 was used to rapidly identify loci controlling KL based on Bulked Segregant Analysis (BSA) and the wheat 660 K single-nucleotide polymorphism (SNP) array. The highest ratio of polymorphic SNPs was located on chromosome 4A. Linkage map analysis showed that 33 Kompetitive Allele Specific PCR markers were linked to the QTL for KL (Qkl.sicau-BLE18-4A) identified in three environments as well as the best linear unbiased prediction (BLUP) dataset. This QTL explained 10.87—19.30% of the phenotypic variation. Its effect was successfully confirmed in another F(3) population with the two flanking markers KASP-AX-111536305 and KASP-AX-110174441. Compared with previous studies and given that the of BLS1 has the genetic background of spelt wheat, the major QTL was likely a new one. A few of predicted genes related to regulation of kernel development were identified in the interval of the detected QTL. CONCLUSION: A major, novel and stable QTL (Qkl.sicau-BLE18-4A) for KL was identified and verified in two F(3) biparental populations across three environments. Significant relationships among KL, kernel width (KW) and thousand kernel weight (TKW) were identified. Four predicted genes related to kernel growth regulation were detected in the interval of Qkl.sicau-BLE18-4A. Furthermore, this study laid foundation on subsequent fine mapping work and provided a possibility for breeding of elite wheat varieties. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-022-08608-3. |
format | Online Article Text |
id | pubmed-9121568 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-91215682022-05-21 Identification and validation of a major QTL for kernel length in bread wheat based on two F(3) biparental populations Xie, Xinlin Li, Shuiqin Liu, Hang Xu, Qiang Tang, Huaping Mu, Yang Deng, Mei Jiang, Qiantao Chen, Guoyue Qi, Pengfei Li, Wei Pu, Zhien Ahsan Habib Wei, Yuming Zheng, Youliang Lan, Xiujin Ma, Jian BMC Genomics Research BACKGROUND: High yield and quality are essential goals of wheat (Triticum aestivum L.) breeding. Kernel length (KL), as a main component of kernel size, can indirectly change kernel weight and then affects yield. Identification and utilization of excellent loci in wheat genetic resources is of great significance for cultivating high yield and quality wheat. Genetic identification of loci for KL has been performed mainly through genome-wide association study in natural populations or QTL mapping based on genetic linkage map in high generation populations. RESULTS: In this study, an F(3) biparental population derived from the cross between an EMS mutant BLS1 selected from an EMS-induced wheat genotype LJ2135 (derived from the hybrid progeny of a spelt wheat (T. spelta L.) and a common wheat) mutant bank and a local breeding line 99E18 was used to rapidly identify loci controlling KL based on Bulked Segregant Analysis (BSA) and the wheat 660 K single-nucleotide polymorphism (SNP) array. The highest ratio of polymorphic SNPs was located on chromosome 4A. Linkage map analysis showed that 33 Kompetitive Allele Specific PCR markers were linked to the QTL for KL (Qkl.sicau-BLE18-4A) identified in three environments as well as the best linear unbiased prediction (BLUP) dataset. This QTL explained 10.87—19.30% of the phenotypic variation. Its effect was successfully confirmed in another F(3) population with the two flanking markers KASP-AX-111536305 and KASP-AX-110174441. Compared with previous studies and given that the of BLS1 has the genetic background of spelt wheat, the major QTL was likely a new one. A few of predicted genes related to regulation of kernel development were identified in the interval of the detected QTL. CONCLUSION: A major, novel and stable QTL (Qkl.sicau-BLE18-4A) for KL was identified and verified in two F(3) biparental populations across three environments. Significant relationships among KL, kernel width (KW) and thousand kernel weight (TKW) were identified. Four predicted genes related to kernel growth regulation were detected in the interval of Qkl.sicau-BLE18-4A. Furthermore, this study laid foundation on subsequent fine mapping work and provided a possibility for breeding of elite wheat varieties. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-022-08608-3. BioMed Central 2022-05-19 /pmc/articles/PMC9121568/ /pubmed/35590264 http://dx.doi.org/10.1186/s12864-022-08608-3 Text en © The Author(s) 2022 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Xie, Xinlin Li, Shuiqin Liu, Hang Xu, Qiang Tang, Huaping Mu, Yang Deng, Mei Jiang, Qiantao Chen, Guoyue Qi, Pengfei Li, Wei Pu, Zhien Ahsan Habib Wei, Yuming Zheng, Youliang Lan, Xiujin Ma, Jian Identification and validation of a major QTL for kernel length in bread wheat based on two F(3) biparental populations |
title | Identification and validation of a major QTL for kernel length in bread wheat based on two F(3) biparental populations |
title_full | Identification and validation of a major QTL for kernel length in bread wheat based on two F(3) biparental populations |
title_fullStr | Identification and validation of a major QTL for kernel length in bread wheat based on two F(3) biparental populations |
title_full_unstemmed | Identification and validation of a major QTL for kernel length in bread wheat based on two F(3) biparental populations |
title_short | Identification and validation of a major QTL for kernel length in bread wheat based on two F(3) biparental populations |
title_sort | identification and validation of a major qtl for kernel length in bread wheat based on two f(3) biparental populations |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9121568/ https://www.ncbi.nlm.nih.gov/pubmed/35590264 http://dx.doi.org/10.1186/s12864-022-08608-3 |
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