Show simple item record

dc.contributor.authorYang, Jian
dc.contributor.authorZhou, Yanjie
dc.contributor.authorHu, Weiguo
dc.contributor.authorZhang, Yu'e
dc.contributor.authorZhou, Yong
dc.contributor.authorChen, Yongxing
dc.contributor.authorWang, Xicheng
dc.contributor.authorZhao, Hong
dc.contributor.authorCao, Tingjie
dc.contributor.authorLiu, Zhiyong
dc.date.accessioned2020-10-18T11:54:57Z
dc.date.available2020-10-18T11:54:57Z
dc.date.issued2020-10-12
dc.date.submitted2020-06-14
dc.identifier.citationYang, J., Zhou, Y., Hu, W., Zhang, Y., Zhou, Y., Chen, Y., … Liu, Z. (2020). Unlocking the relationships among population structure, plant architecture, growing season, and environmental adaptation in Henan wheat cultivars. BMC Plant Biology, 20(1). doi:10.1186/s12870-020-02674-z
dc.identifier.issn1471-2229
dc.identifier.pmid33046012
dc.identifier.doi10.1186/s12870-020-02674-z
dc.identifier.urihttp://hdl.handle.net/10754/665620
dc.description.abstractBACKGROUND:Ecological environments shape plant architecture and alter the growing season, which provides the basis for wheat genetic improvement. Therefore, understanding the genetic basis of grain yield and yield-related traits in specific ecological environments is important. RESULTS:A structured panel of 96 elite wheat cultivars grown in the High-yield zone of Henan province in China was genotyped using an Illumina iSelect 90 K SNP assay. Selection pressure derived from ecological environments of mountain front and plain region provided the initial impetus for population divergence. This determined the dominant traits in two subpopulations (spike number and spike percentage were dominance in subpopulation 2:1; thousand-kernel weight, grain filling rate (GFR), maturity date (MD), and fertility period (FP) were dominance in subpopulation 2:2), which was also consistent with their inheritance from the donor parents. Genome wide association studies identified 107 significant SNPs for 12 yield-related traits and 10 regions were pleiotropic to multiple traits. Especially, GY was co-located with MD/FP, GFR and HD at QTL-ple5A, QTL-ple7A.1 and QTL-ple7B.1 region. Further selective sweep analysis revealled that regions under selection were around QTLs for these traits. Especially, grain yield (GY) is positively correlated with MD/FP and they were co-located at the VRN-1A locus. Besides, a selective sweep signal was detected at VRN-1B locus which was only significance to MD/FP. CONCLUSIONS:The results indicated that extensive differential in allele frequency driven by ecological selection has shaped plant architecture and growing season during yield improvement. The QTLs for yield and yield components detected in this study probably be selectively applied in molecular breeding.
dc.description.sponsorshipThe authors are grateful to Prof. Dezhi Wu, Department of Agronomy, Zhejiang University, for critical review of this manuscript.
dc.description.sponsorshipThis research was supported by the Special Fund for Henan Agricultural Research System (S2010–01-G03), the National Key Research and Development Program of China (2016YFD0100402), the Programs for Science and Technology of Henan (192102110138), the Special project of Henan Province science and technology foundation and condition. The analysis of genotyping and population analysis were funded by the National Key Research and Development Program of China (2016YFD0100402) and the Special project of Henan Province science and technology foundation and condition. The planting, phenotyping and manuscript preparing were funded by the Special Fund for Henan Agricultural Research System (S2010–01-G03). The GWAS analysis and selective sweeps analysis were funded by the Programs for Science and Technology of Henan (192102110138).
dc.publisherSpringer Nature
dc.relation.urlhttps://bmcplantbiol.biomedcentral.com/articles/10.1186/s12870-020-02674-z
dc.rightsArchived with thanks to BMC plant biology
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleUnlocking the relationships among population structure, plant architecture, growing season, and environmental adaptation in Henan wheat cultivars.
dc.typeArticle
dc.contributor.departmentBiological and Environmental Sciences and Engineering (BESE) Division
dc.identifier.journalBMC plant biology
dc.eprint.versionPublisher's Version/PDF
dc.contributor.institutionWheat Research Institute, Henan Academy of Agricultural Sciences, Zhengzhou 450002, Henan, China.
dc.contributor.institutionHenan Academy of Crop Molecular Breeding, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China.
dc.contributor.institutionState Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China.
dc.identifier.volume20
dc.identifier.issue1
kaust.personZhou, Yong
dc.date.accepted2020-09-24
dc.relation.issupplementedbyDOI:10.6084/m9.figshare.c.5173052
refterms.dateFOA2020-10-18T11:55:50Z
display.relations<b>Is Supplemented By:</b><br/> <ul><i>[Dataset]</i> <br/> Yang, J., Yanjie Zhou, Weiguo Hu, Yu’e Zhang, Zhou, Y., Yongxing Chen, Xicheng Wang, Zhao, H., Cao, T., &amp; Zhiyong Liu. (2020). <i>Unlocking the relationships among population structure, plant architecture, growing season, and environmental adaptation in Henan wheat cultivars</i>. figshare. https://doi.org/10.6084/M9.FIGSHARE.C.5173052. DOI: <a href="https://doi.org/10.6084/m9.figshare.c.5173052" >10.6084/m9.figshare.c.5173052</a> HANDLE: <a href="http://hdl.handle.net/10754/665901">10754/665901</a></li></ul>
dc.date.published-online2020-10-12
dc.date.published-print2020-12


Files in this item

Thumbnail
Name:
unlocking the.pdf
Size:
1.706Mb
Format:
PDF
Description:
published version

This item appears in the following Collection(s)

Show simple item record

Archived with thanks to BMC plant biology
Except where otherwise noted, this item's license is described as Archived with thanks to BMC plant biology