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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Frontiers Media S.A.
2021-12-01
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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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