Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Genome-Wide Association Studies of Free Amino Acid Levels by Six Multi-Locus Models in Bread Wheat
Huazhong Agr Univ, Coll Plant Sci & Technol, Wuhan, Hubei, Peoples R China..
Huazhong Agr Univ, Natl Ctr Plant Gene Res, Natl Key Lab Crop Genet Improvement, Wuhan, Hubei, Peoples R China..
Huazhong Agr Univ, Coll Plant Sci & Technol, Wuhan, Hubei, Peoples R China..
Huazhong Agr Univ, Coll Plant Sci & Technol, Wuhan, Hubei, Peoples R China..
Show others and affiliations
2018 (English)In: Frontiers in Plant Science, ISSN 1664-462X, E-ISSN 1664-462X, Vol. 9, article id 1196Article in journal (Refereed) Published
Abstract [en]

Genome-wide association studies (GWAS) have been widely used to dissect the complex biosynthetic processes of plant metabolome. Most studies have used single-locus GWAS approaches, such as mixed linear model (MLM), and little is known about more efficient algorithms to implement multi-locus GWAS. Here, we report a comprehensive GWAS of 20 free amino acid (FAA) levels in kernels of bread wheat (Triticum aestivum L.) based on 14,646 SNPs by six multi-locus models (FASTmrEMMA, FASTmrMLM, ISISEM-BLASSO, mrMLM, pKWmEB, and pLARmEB). Our results showed that 328 significant quantitative trait nucleotides (QTNs) were identified in total (38, 8, 92, 45, 117, and 28, respectively, for the above six models). Among them, 66 were repeatedly detected by more than two models, and 155 QTNs appeared only in one model, indicating the reliability and complementarity of these models. We also found that the number of significant QTNs for different FAAs varied from 8 to 41, which revealed the complexity of the genetic regulation of metabolism, and further demonstrated the necessity of the multi-locus GWAS. Around these significant QTNs, 15 candidate genes were found to be involved in FAA biosynthesis, and one candidate gene (TraesCS1D01G052500, annotated as tryptophan decarboxylase) was functionally identified to influence the content of tryptamine in vitro. Our study demonstrated the power and efficiency of multi-locus GWAS models in crop metabolome research and provided new insights into understanding FAA biosynthesis in wheat.

Place, publisher, year, edition, pages
FRONTIERS MEDIA SA , 2018. Vol. 9, article id 1196
Keywords [en]
wheat, free amino acid (FAA), genome-wide association studies, multi-locus models, QTNs
National Category
Biological Sciences
Identifiers
URN: urn:nbn:se:kth:diva-233592DOI: 10.3389/fpls.2018.01196ISI: 000441511800001Scopus ID: 2-s2.0-85053052707OAI: oai:DiVA.org:kth-233592DiVA, id: diva2:1242354
Note

QC 20180828

Available from: 2018-08-28 Created: 2018-08-28 Last updated: 2018-10-16Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records BETA

Zhang, Chi

Search in DiVA

By author/editor
Zhang, Chi
By organisation
School of Chemical Science and Engineering (CHE)
In the same journal
Frontiers in Plant Science
Biological Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 38 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf