Identification of a novel seed size associated locus SW9-1 in soybean

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dc.creator Li, Jiajia
dc.creator Zhao, Jinghui
dc.creator Li, Yinghui
dc.creator Gao, Yali
dc.creator Hua, Sunan
dc.creator Nadeem, Muhammad
dc.creator Sun, Genlou
dc.creator Zhang, Wenming
dc.creator Hou, Jinfeng
dc.creator Wang, Xiaobo
dc.creator Qiu, Lijuan
dc.date.accessioned 2021-10-19T13:04:50Z
dc.date.available 2021-10-19T13:04:50Z
dc.date.issued 2019-08
dc.identifier.issn 2214-5141
dc.identifier.uri http://library2.smu.ca/xmlui/handle/01/29954
dc.description Published version en_CA
dc.description.abstract Seed size is one of the vital traits determining seed appearance, quality, and yield. Untangling the genetic mechanisms regulating soybean 100-seed weight (100-SW), seed length and seed width across environments may provide a theoretical basis for improving seed yield. However, there are few reports related to QTL mapping of 100-SW across multiple ecological regions. In this study, 21 loci associated with seed size traits were identified using a genome-wide association of 5361 single nucleotide polymorphisms (SNPs) across three ecoregions in China, which could explain 8.12%–14.25% of the phenotypic variance respectively. A new locus, named as SW9-1 on chromosome 9 that explained 10.05%–10.93% of the seed weight variance was found significantly related to seed size traits, and was not previously reported. The selection effect analysis showed that SW9-1 locus has a relatively high phenotypic effect (13.67) on 100-SW, with a greater contribution by the accessions with bigger seeds (3.69) than the accessions with small seeds (1.66). Increases in seed weight were accompanied by increases in the frequency of SW9-1T allele, with >90% of the bred varieties with a 100-SW >30 g carrying SW9-1T. Analysis of SW9-1 allelic variation in additional soybean accessions showed that SW9-1T allele accounting for 13.83% of the wild accessions, while in 46.55% and 51.57% of the landraces and bred accessions, respectively, this results indicating that the SW9-1 locus has been subjected to artificial selection during the early stages of soybean breeding, especially the utilization of SW9-1T in edamame for big seed. These results suggest that SW9-1 is a novel and reliable locus associated with seed size traits, and might have an important implication for increasing soybean seed weight in molecular design breeding. Cloning this locus in future may provide new insights into the genetic mechanisms underlying soybean seed size traits. en_CA
dc.description.provenance Submitted by Sherry Briere (sherry.briere@smu.ca) on 2021-10-19T13:04:50Z No. of bitstreams: 1 Sun_Genlou_article_2019_a.pdf: 1226773 bytes, checksum: 0fd1ae977df497d6c881f439f5b0902f (MD5) en
dc.description.provenance Made available in DSpace on 2021-10-19T13:04:50Z (GMT). No. of bitstreams: 1 Sun_Genlou_article_2019_a.pdf: 1226773 bytes, checksum: 0fd1ae977df497d6c881f439f5b0902f (MD5) Previous issue date: 2019-08 en
dc.language.iso en en_CA
dc.publisher Crop Science Society of China and Institute of Crop Science, CAAS. en_CA
dc.relation.uri https://doi-org.library.smu.ca/10.1016/j.cj.2018.12.010
dc.rights © 2019 Crop Science Society of China and Institute of Crop Science, CAAS. Production and hosting by Elsevier B.V. on behalf of KeAiCommunicationsCo.,Ltd. <a rel="license" href="http://creativecommons.org/licenses/by/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/80x15.png" /></a> This work is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</a>
dc.subject.lcsh Soybean -- Seeds -- Size
dc.subject.lcsh Soybean -- Seeds -- Weight
dc.subject.lcsh Agricultural genome mapping
dc.subject.lcsh Crop yields
dc.title Identification of a novel seed size associated locus SW9-1 in soybean en_CA
dc.type Text en_CA
dcterms.bibliographicCitation The Crop Journal 7(4), 548-559. (2019) en_CA
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© 2019 Crop Science Society of China and Institute of Crop Science, CAAS. Production and hosting by Elsevier B.V. on behalf of KeAiCommunicationsCo.,Ltd. Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License
 
Published Version: https://doi-org.library.smu.ca/10.1016/j.cj.2018.12.010
 
 

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