Literature DB >> 31826330

Genome-wide association study of agronomic and quality traits in a world collection of the wild wheat relative Triticum urartu.

Rebecca F Talini1, Andrea Brandolini2, Mara Miculan1, Alice Brunazzi1, Patrizia Vaccino3, Mario Enrico Pè1, Matteo Dell'Acqua1.   

Abstract

Triticum urartu (2n = 2x = 14, subgenome Au Au ), a wild diploid wheat progenitor, features broad allelic diversity for a number of traits of agronomic relevance. A thorough characterization of the diversity of T. urartu natural accessions may provide wheat breeders with new alleles potentially contributing to wheat improvement. In this study, we performed an extensive genotypic and phenotypic characterization of a world collection of 299 T. urartu ex situ accessions, developing 441 327 single nucleotide polymorphisms and recording trait values for agronomic and quality traits. The collection was highly diverse, with broad variation in phenology and plant architecture traits. Seed features were also varied, and analyses of flour quality reported 18 distinct patterns of glutenins, and carotenoid concentrations and sedimentation volumes in some cases surpassing those of cultivated materials. The genome-wide molecular markers developed on the collection were used to conduct a genome-wide association study reporting 25 highly significant quantitative trait nucleotides for the traits under examination, only partially overlapping loci already reported in wheat. Our data show that T. urartu may be considered a valuable allele pool to support the improvement of wheat agronomy and quality.
© 2019 The Authors. The Plant Journal © 2019 John Wiley & Sons Ltd.

Entities:  

Keywords:  zzm321990Triticum urartuzzm321990; flour quality; genome-wide association study; quantitative trait locus mapping; wild relatives

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Year:  2020        PMID: 31826330     DOI: 10.1111/tpj.14650

Source DB:  PubMed          Journal:  Plant J        ISSN: 0960-7412            Impact factor:   6.417


  2 in total

1.  QTL detection for bread wheat processing quality in a nested association mapping population of semi-wild and domesticated wheat varieties.

Authors:  Junmei Hu; Guilian Xiao; Peng Jiang; Yan Zhao; Guangxu Zhang; Xin Ma; Jie Yao; Lixia Xue; Peisen Su; Yinguang Bao
Journal:  BMC Plant Biol       Date:  2022-03-21       Impact factor: 4.215

2.  Appraising the Genetic Architecture of Kernel Traits in Hexaploid Wheat Using GWAS.

Authors:  Ali Muhammad; Weicheng Hu; Zhaoyang Li; Jianguo Li; Guosheng Xie; Jibin Wang; Lingqiang Wang
Journal:  Int J Mol Sci       Date:  2020-08-06       Impact factor: 5.923

  2 in total

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