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Spike Density Quantitative Trait Loci Detection and Analysis in Tetraploid and Hexaploid Wheat Recombinant Inbred Line Populations
Spike density (SD) is an agronomically important character in wheat. In addition, an optimized spike structure is a key basis for high yields. Identification of quantitative trait loci (QTL) for SD has provided a genetic basis for constructing ideal spike morphologies in wheat. In this study, two re...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8716915/ https://www.ncbi.nlm.nih.gov/pubmed/34975986 http://dx.doi.org/10.3389/fpls.2021.796397 |
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author | You, Jianing Liu, Hang Wang, Surong Luo, Wei Gou, Lulu Tang, Huaping Mu, Yang Deng, Mei Jiang, Qiantao Chen, Guoyue Qi, Pengfei Peng, Yuanying Tang, Liwei Habib, Ahsan Wei, Yuming Zheng, Youliang Lan, Xiujin Ma, Jian |
author_facet | You, Jianing Liu, Hang Wang, Surong Luo, Wei Gou, Lulu Tang, Huaping Mu, Yang Deng, Mei Jiang, Qiantao Chen, Guoyue Qi, Pengfei Peng, Yuanying Tang, Liwei Habib, Ahsan Wei, Yuming Zheng, Youliang Lan, Xiujin Ma, Jian |
author_sort | You, Jianing |
collection | PubMed |
description | Spike density (SD) is an agronomically important character in wheat. In addition, an optimized spike structure is a key basis for high yields. Identification of quantitative trait loci (QTL) for SD has provided a genetic basis for constructing ideal spike morphologies in wheat. In this study, two recombinant inbred line (RIL) populations (tetraploid RIL AM and hexaploid RIL 20828/SY95-71 (2SY)) previously genotyped using the wheat55K SNP array were used to identify SD QTL. A total of 18 QTL were detected, and three were major and one was stably expressed (QSd.sau-2SY-7A.2, QSd.sau-AM-5A.2, QSd.sau-AM-7B, and QSd.sau-2SY-2D). They can explain up to 23.14, 19.97, 12.00, and 9.44% of phenotypic variation, respectively. QTL × environment and epistatic interactions for SD were further analyzed. In addition, pyramiding analysis further revealed that there were additive effects between QSd.sau-2SY-2D and QSd.sau-2SY-7A.2 in 2SY, and QSd.sau-AM-5A.2 and QSd.sau-AM-7B in AM. Pearson’s correlation between SD and other agronomic traits, and effects of major or stable QTL on yield related traits indicated SD significantly impacted spike length (SL), spikelet number per spike (SNS) and kernel length (KL). Several genes related to spike development within the physical intervals of major or stable QTL were predicted and discussed. Collectively, our research identified QTL with potential applications for modern wheat breeding and broadening the genetic basis of SD. |
format | Online Article Text |
id | pubmed-8716915 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-87169152021-12-31 Spike Density Quantitative Trait Loci Detection and Analysis in Tetraploid and Hexaploid Wheat Recombinant Inbred Line Populations You, Jianing Liu, Hang Wang, Surong Luo, Wei Gou, Lulu Tang, Huaping Mu, Yang Deng, Mei Jiang, Qiantao Chen, Guoyue Qi, Pengfei Peng, Yuanying Tang, Liwei Habib, Ahsan Wei, Yuming Zheng, Youliang Lan, Xiujin Ma, Jian Front Plant Sci Plant Science Spike density (SD) is an agronomically important character in wheat. In addition, an optimized spike structure is a key basis for high yields. Identification of quantitative trait loci (QTL) for SD has provided a genetic basis for constructing ideal spike morphologies in wheat. In this study, two recombinant inbred line (RIL) populations (tetraploid RIL AM and hexaploid RIL 20828/SY95-71 (2SY)) previously genotyped using the wheat55K SNP array were used to identify SD QTL. A total of 18 QTL were detected, and three were major and one was stably expressed (QSd.sau-2SY-7A.2, QSd.sau-AM-5A.2, QSd.sau-AM-7B, and QSd.sau-2SY-2D). They can explain up to 23.14, 19.97, 12.00, and 9.44% of phenotypic variation, respectively. QTL × environment and epistatic interactions for SD were further analyzed. In addition, pyramiding analysis further revealed that there were additive effects between QSd.sau-2SY-2D and QSd.sau-2SY-7A.2 in 2SY, and QSd.sau-AM-5A.2 and QSd.sau-AM-7B in AM. Pearson’s correlation between SD and other agronomic traits, and effects of major or stable QTL on yield related traits indicated SD significantly impacted spike length (SL), spikelet number per spike (SNS) and kernel length (KL). Several genes related to spike development within the physical intervals of major or stable QTL were predicted and discussed. Collectively, our research identified QTL with potential applications for modern wheat breeding and broadening the genetic basis of SD. Frontiers Media S.A. 2021-12-16 /pmc/articles/PMC8716915/ /pubmed/34975986 http://dx.doi.org/10.3389/fpls.2021.796397 Text en Copyright © 2021 You, Liu, Wang, Luo, Gou, Tang, Mu, Deng, Jiang, Chen, Qi, Peng, Tang, Habib, Wei, Zheng, Lan and Ma. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Plant Science You, Jianing Liu, Hang Wang, Surong Luo, Wei Gou, Lulu Tang, Huaping Mu, Yang Deng, Mei Jiang, Qiantao Chen, Guoyue Qi, Pengfei Peng, Yuanying Tang, Liwei Habib, Ahsan Wei, Yuming Zheng, Youliang Lan, Xiujin Ma, Jian Spike Density Quantitative Trait Loci Detection and Analysis in Tetraploid and Hexaploid Wheat Recombinant Inbred Line Populations |
title | Spike Density Quantitative Trait Loci Detection and Analysis in Tetraploid and Hexaploid Wheat Recombinant Inbred Line Populations |
title_full | Spike Density Quantitative Trait Loci Detection and Analysis in Tetraploid and Hexaploid Wheat Recombinant Inbred Line Populations |
title_fullStr | Spike Density Quantitative Trait Loci Detection and Analysis in Tetraploid and Hexaploid Wheat Recombinant Inbred Line Populations |
title_full_unstemmed | Spike Density Quantitative Trait Loci Detection and Analysis in Tetraploid and Hexaploid Wheat Recombinant Inbred Line Populations |
title_short | Spike Density Quantitative Trait Loci Detection and Analysis in Tetraploid and Hexaploid Wheat Recombinant Inbred Line Populations |
title_sort | spike density quantitative trait loci detection and analysis in tetraploid and hexaploid wheat recombinant inbred line populations |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8716915/ https://www.ncbi.nlm.nih.gov/pubmed/34975986 http://dx.doi.org/10.3389/fpls.2021.796397 |
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