Cargando…

Genome-wide association study of four yield-related traits at the R6 stage in soybean

BACKGROUND: The 100-pod fresh weight (PFW), 100-seed fresh weight (SFW), 100-seed dry weight (SDW) and moisture content of fresh seeds (MCFS) at the R6 stage are crucial factors for vegetable soybean yield. However, the genetic basis of yield at the R6 stage remains largely ambiguous in soybean. RES...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Xiangnan, Zhang, Xiaoli, Zhu, Longming, Bu, Yuanpeng, Wang, Xinfang, Zhang, Xing, Zhou, Yang, Wang, Xiaoting, Guo, Na, Qiu, Lijuan, Zhao, Jinming, Xing, Han
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6440021/
https://www.ncbi.nlm.nih.gov/pubmed/30922237
http://dx.doi.org/10.1186/s12863-019-0737-9
_version_ 1783407313650974720
author Li, Xiangnan
Zhang, Xiaoli
Zhu, Longming
Bu, Yuanpeng
Wang, Xinfang
Zhang, Xing
Zhou, Yang
Wang, Xiaoting
Guo, Na
Qiu, Lijuan
Zhao, Jinming
Xing, Han
author_facet Li, Xiangnan
Zhang, Xiaoli
Zhu, Longming
Bu, Yuanpeng
Wang, Xinfang
Zhang, Xing
Zhou, Yang
Wang, Xiaoting
Guo, Na
Qiu, Lijuan
Zhao, Jinming
Xing, Han
author_sort Li, Xiangnan
collection PubMed
description BACKGROUND: The 100-pod fresh weight (PFW), 100-seed fresh weight (SFW), 100-seed dry weight (SDW) and moisture content of fresh seeds (MCFS) at the R6 stage are crucial factors for vegetable soybean yield. However, the genetic basis of yield at the R6 stage remains largely ambiguous in soybean. RESULTS: To better understand the molecular mechanism underlying yield, we investigated four yield-related traits of 133 soybean landraces in two consecutive years and conducted a genome-wide association study (GWAS) using 82,187 single nucleotide polymorphisms (SNPs). The GWAS results revealed a total of 14, 15, 63 and 48 SNPs for PFW, SFW, SDW and MCFS, respectively. Among these markers, 35 SNPs were repeatedly identified in all evaluated environments (2015, 2016, and the average across the two years), and most co-localized with yield-related QTLs identified in previous studies. AX-90496773 and AX-90460290 were large-effect markers for PFW and MCFS, respectively. The two markers were stably identified in all environments and tagged to linkage disequilibrium (LD) blocks. Six potential candidate genes were predicted in LD blocks; five of them showed significantly different expression levels between the extreme materials with large PFW or MCFS variation at the seed development stage. Therefore, the five genes Glyma.16g018200, Glyma.16g018300, Glyma.05g243400, Glyma.05g244100 and Glyma.05g245300 were regarded as candidate genes associated with PFW and MCFS. CONCLUSION: These results provide useful information for the development of functional markers and exploration of candidate genes in vegetable soybean high-yield breeding programs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12863-019-0737-9) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-6440021
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-64400212019-04-11 Genome-wide association study of four yield-related traits at the R6 stage in soybean Li, Xiangnan Zhang, Xiaoli Zhu, Longming Bu, Yuanpeng Wang, Xinfang Zhang, Xing Zhou, Yang Wang, Xiaoting Guo, Na Qiu, Lijuan Zhao, Jinming Xing, Han BMC Genet Research Article BACKGROUND: The 100-pod fresh weight (PFW), 100-seed fresh weight (SFW), 100-seed dry weight (SDW) and moisture content of fresh seeds (MCFS) at the R6 stage are crucial factors for vegetable soybean yield. However, the genetic basis of yield at the R6 stage remains largely ambiguous in soybean. RESULTS: To better understand the molecular mechanism underlying yield, we investigated four yield-related traits of 133 soybean landraces in two consecutive years and conducted a genome-wide association study (GWAS) using 82,187 single nucleotide polymorphisms (SNPs). The GWAS results revealed a total of 14, 15, 63 and 48 SNPs for PFW, SFW, SDW and MCFS, respectively. Among these markers, 35 SNPs were repeatedly identified in all evaluated environments (2015, 2016, and the average across the two years), and most co-localized with yield-related QTLs identified in previous studies. AX-90496773 and AX-90460290 were large-effect markers for PFW and MCFS, respectively. The two markers were stably identified in all environments and tagged to linkage disequilibrium (LD) blocks. Six potential candidate genes were predicted in LD blocks; five of them showed significantly different expression levels between the extreme materials with large PFW or MCFS variation at the seed development stage. Therefore, the five genes Glyma.16g018200, Glyma.16g018300, Glyma.05g243400, Glyma.05g244100 and Glyma.05g245300 were regarded as candidate genes associated with PFW and MCFS. CONCLUSION: These results provide useful information for the development of functional markers and exploration of candidate genes in vegetable soybean high-yield breeding programs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12863-019-0737-9) contains supplementary material, which is available to authorized users. BioMed Central 2019-03-29 /pmc/articles/PMC6440021/ /pubmed/30922237 http://dx.doi.org/10.1186/s12863-019-0737-9 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Li, Xiangnan
Zhang, Xiaoli
Zhu, Longming
Bu, Yuanpeng
Wang, Xinfang
Zhang, Xing
Zhou, Yang
Wang, Xiaoting
Guo, Na
Qiu, Lijuan
Zhao, Jinming
Xing, Han
Genome-wide association study of four yield-related traits at the R6 stage in soybean
title Genome-wide association study of four yield-related traits at the R6 stage in soybean
title_full Genome-wide association study of four yield-related traits at the R6 stage in soybean
title_fullStr Genome-wide association study of four yield-related traits at the R6 stage in soybean
title_full_unstemmed Genome-wide association study of four yield-related traits at the R6 stage in soybean
title_short Genome-wide association study of four yield-related traits at the R6 stage in soybean
title_sort genome-wide association study of four yield-related traits at the r6 stage in soybean
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6440021/
https://www.ncbi.nlm.nih.gov/pubmed/30922237
http://dx.doi.org/10.1186/s12863-019-0737-9
work_keys_str_mv AT lixiangnan genomewideassociationstudyoffouryieldrelatedtraitsatther6stageinsoybean
AT zhangxiaoli genomewideassociationstudyoffouryieldrelatedtraitsatther6stageinsoybean
AT zhulongming genomewideassociationstudyoffouryieldrelatedtraitsatther6stageinsoybean
AT buyuanpeng genomewideassociationstudyoffouryieldrelatedtraitsatther6stageinsoybean
AT wangxinfang genomewideassociationstudyoffouryieldrelatedtraitsatther6stageinsoybean
AT zhangxing genomewideassociationstudyoffouryieldrelatedtraitsatther6stageinsoybean
AT zhouyang genomewideassociationstudyoffouryieldrelatedtraitsatther6stageinsoybean
AT wangxiaoting genomewideassociationstudyoffouryieldrelatedtraitsatther6stageinsoybean
AT guona genomewideassociationstudyoffouryieldrelatedtraitsatther6stageinsoybean
AT qiulijuan genomewideassociationstudyoffouryieldrelatedtraitsatther6stageinsoybean
AT zhaojinming genomewideassociationstudyoffouryieldrelatedtraitsatther6stageinsoybean
AT xinghan genomewideassociationstudyoffouryieldrelatedtraitsatther6stageinsoybean