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...

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Main Authors: Jianing You, Hang Liu, Surong Wang, Wei Luo, Lulu Gou, Huaping Tang, Yang Mu, Mei Deng, Qiantao Jiang, Guoyue Chen, Pengfei Qi, Yuanying Peng, Liwei Tang, Ahsan Habib, Yuming Wei, Youliang Zheng, Xiujin Lan, Jian Ma
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-12-01
Series:Frontiers in Plant Science
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Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2021.796397/full
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author Jianing You
Hang Liu
Surong Wang
Wei Luo
Lulu Gou
Huaping Tang
Yang Mu
Mei Deng
Qiantao Jiang
Guoyue Chen
Pengfei Qi
Yuanying Peng
Liwei Tang
Ahsan Habib
Yuming Wei
Youliang Zheng
Xiujin Lan
Jian Ma
author_facet Jianing You
Hang Liu
Surong Wang
Wei Luo
Lulu Gou
Huaping Tang
Yang Mu
Mei Deng
Qiantao Jiang
Guoyue Chen
Pengfei Qi
Yuanying Peng
Liwei Tang
Ahsan Habib
Yuming Wei
Youliang Zheng
Xiujin Lan
Jian Ma
author_sort Jianing You
collection DOAJ
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.
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spelling doaj.art-cb8c1dc5a69a4f9598e2d951efb01bc72022-12-21T19:23:05ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2021-12-011210.3389/fpls.2021.796397796397Spike Density Quantitative Trait Loci Detection and Analysis in Tetraploid and Hexaploid Wheat Recombinant Inbred Line PopulationsJianing You0Hang Liu1Surong Wang2Wei Luo3Lulu Gou4Huaping Tang5Yang Mu6Mei Deng7Qiantao Jiang8Guoyue Chen9Pengfei Qi10Yuanying Peng11Liwei Tang12Ahsan Habib13Yuming Wei14Youliang Zheng15Xiujin Lan16Jian Ma17Triticeae Research Institute, Sichuan Agricultural University, Chengdu, ChinaTriticeae Research Institute, Sichuan Agricultural University, Chengdu, ChinaTriticeae Research Institute, Sichuan Agricultural University, Chengdu, ChinaTriticeae Research Institute, Sichuan Agricultural University, Chengdu, ChinaTriticeae Research Institute, Sichuan Agricultural University, Chengdu, ChinaTriticeae Research Institute, Sichuan Agricultural University, Chengdu, ChinaTriticeae Research Institute, Sichuan Agricultural University, Chengdu, ChinaTriticeae Research Institute, Sichuan Agricultural University, Chengdu, ChinaTriticeae Research Institute, Sichuan Agricultural University, Chengdu, ChinaTriticeae Research Institute, Sichuan Agricultural University, Chengdu, ChinaTriticeae Research Institute, Sichuan Agricultural University, Chengdu, ChinaTriticeae Research Institute, Sichuan Agricultural University, Chengdu, ChinaPanzhihua Academy of Agricultural and Forestry Sciences, Panzhihua, ChinaBiotechnology and Genetic Engineering Discipline, Khulna University, Khulna, BangladeshTriticeae Research Institute, Sichuan Agricultural University, Chengdu, ChinaTriticeae Research Institute, Sichuan Agricultural University, Chengdu, ChinaTriticeae Research Institute, Sichuan Agricultural University, Chengdu, ChinaTriticeae Research Institute, Sichuan Agricultural University, Chengdu, ChinaSpike 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.https://www.frontiersin.org/articles/10.3389/fpls.2021.796397/fullspike densityquantitative trait lociwheatwheat55K SNP arraypyramiding analysis
spellingShingle Jianing You
Hang Liu
Surong Wang
Wei Luo
Lulu Gou
Huaping Tang
Yang Mu
Mei Deng
Qiantao Jiang
Guoyue Chen
Pengfei Qi
Yuanying Peng
Liwei Tang
Ahsan Habib
Yuming Wei
Youliang Zheng
Xiujin Lan
Jian Ma
Spike Density Quantitative Trait Loci Detection and Analysis in Tetraploid and Hexaploid Wheat Recombinant Inbred Line Populations
Frontiers in Plant Science
spike density
quantitative trait loci
wheat
wheat55K SNP array
pyramiding analysis
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 spike density
quantitative trait loci
wheat
wheat55K SNP array
pyramiding analysis
url https://www.frontiersin.org/articles/10.3389/fpls.2021.796397/full
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