Literature DB >> 32193569

Haplotype diversity underlying quantitative traits in Canadian soybean breeding germplasm.

Robert W Bruce1, Davoud Torkamaneh1,2,3, Christopher M Grainger1, François Belzile2,3, Milad Eskandari1, Istvan Rajcan4.   

Abstract

KEY MESSAGE: Identification of marker-trait associations and trait-associated haplotypes in breeding germplasm identifies regions under selection and highlights changes in haplotype diversity over decades of soybean improvement in Canada. Understanding marker-trait associations using genome-wide association in soybean is typically carried out in diverse germplasm groups where identified loci are often not applicable to soybean breeding efforts. To address this challenge, this study focuses on defining marker-trait associations in breeding germplasm and studying the underlying haplotypes in these regions to assess genetic change through decades of selection. Phenotype data were generated for 175 accessions across multiple environments in Ontario, Canada. A set of 76,549 SNPs were used in the association analysis. A total of 23 genomic regions were identified as significantly associated with yield (5), days to maturity (5), seed oil (3), seed protein (5) and 100-seed weight (5), of which 14 are novel. Each significant region was haplotyped to assess haplotype diversity of the underlying genomic region, identifying ten regions with trait-associated haplotypes in the breeding germplasm. The range of genomic length for these regions (7.2 kb to 6.8 Mb) indicates variation in regional LD for the trait-associated regions. Six of these regions showed changes between eras of breeding, from historical to modern and experimental soybean accessions. Continued selection on these regions may necessitate introgression of novel parental genetic diversity as some haplotypes were fixed within the breeding germplasm. This finding highlights the importance of studying associations and haplotype diversity at a breeding program scale to understand breeders' selections and trends in soybean improvement over time. The haplotypes may also be used as a tool for selection of parental germplasm to inform breeder's decisions on further soybean improvement.

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Year:  2020        PMID: 32193569     DOI: 10.1007/s00122-020-03569-1

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  5 in total

Review 1.  Genome-Wide Association Study Statistical Models: A Review.

Authors:  Mohsen Yoosefzadeh-Najafabadi; Milad Eskandari; François Belzile; Davoud Torkamaneh
Journal:  Methods Mol Biol       Date:  2022

Review 2.  The SoyaGen Project: Putting Genomics to Work for Soybean Breeders.

Authors:  François Belzile; Martine Jean; Davoud Torkamaneh; Aurélie Tardivel; Marc-André Lemay; Chiheb Boudhrioua; Geneviève Arsenault-Labrecque; Chloe Dussault-Benoit; Amandine Lebreton; Maxime de Ronne; Vanessa Tremblay; Caroline Labbé; Louise O'Donoughue; Vincent-Thomas Boucher St-Amour; Tanya Copley; Eric Fortier; Dave T Ste-Croix; Benjamin Mimee; Elroy Cober; Istvan Rajcan; Tom Warkentin; Éric Gagnon; Sylvain Legay; Jérôme Auclair; Richard Bélanger
Journal:  Front Plant Sci       Date:  2022-04-26       Impact factor: 6.627

Review 3.  Features and applications of haplotypes in crop breeding.

Authors:  Javaid Akhter Bhat; Deyue Yu; Abhishek Bohra; Showkat Ahmad Ganie; Rajeev K Varshney
Journal:  Commun Biol       Date:  2021-11-04

4.  Identification of yield-related genes through genome-wide association: case study of weeping forsythia, an emerging medicinal crop.

Authors:  Yong Li; Qiong Wu; Hong-Li Liu; Nan-Cai Pei; Yan-Xia He; Jine Quan
Journal:  Genes Genomics       Date:  2021-11-12       Impact factor: 2.164

5.  Discovery and Validation of Grain Shape Loci in U.S. Rice Germplasm Through Haplotype Characterization.

Authors:  Brijesh Angira; Tommaso Cerioli; Adam N Famoso
Journal:  Front Genet       Date:  2022-09-12       Impact factor: 4.772

  5 in total

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