Literature DB >> 34169673

Sequencing the USDA core soybean collection reveals gene loss during domestication and breeding.

Philipp E Bayer1, Babu Valliyodan2,3, Haifei Hu1, Jacob I Marsh1, Yuxuan Yuan1,4, Tri D Vuong3, Gunvant Patil3,5, Qijian Song6, Jacqueline Batley1, Rajeev K Varshney7,8, Hon-Ming Lam4, David Edwards1, Henry T Nguyen3.   

Abstract

The gene content of plants varies between individuals of the same species due to gene presence/absence variation, and selection can alter the frequency of specific genes in a population. Selection during domestication and breeding will modify the genomic landscape, though the nature of these modifications is only understood for specific genes or on a more general level (e.g., by a loss of genetic diversity). Here we have assembled and analyzed a soybean (Glycine spp.) pangenome representing more than 1,000 soybean accessions derived from the USDA Soybean Germplasm Collection, including both wild and cultivated lineages, to assess genomewide changes in gene and allele frequency during domestication and breeding. We identified 3,765 genes that are absent from the Lee reference genome assembly and assessed the presence/absence of all genes across this population. In addition to a loss of genetic diversity, we found a significant reduction in the average number of protein-coding genes per individual during domestication and subsequent breeding, though with some genes and allelic variants increasing in frequency associated with selection for agronomic traits. This analysis provides a genomic perspective of domestication and breeding in this important oilseed crop.
© 2021 The Authors. The Plant Genome published by Wiley Periodicals LLC on behalf of Crop Science Society of America.

Entities:  

Mesh:

Year:  2021        PMID: 34169673     DOI: 10.1002/tpg2.20109

Source DB:  PubMed          Journal:  Plant Genome        ISSN: 1940-3372            Impact factor:   4.089


  10 in total

1.  Domestication and improvement genes reveal the differences of seed size- and oil-related traits in soybean domestication and improvement.

Authors:  Jian-Fang Zuo; Muhammad Ikram; Jin-Yang Liu; Chun-Yu Han; Yuan Niu; Jim M Dunwell; Yuan-Ming Zhang
Journal:  Comput Struct Biotechnol J       Date:  2022-06-13       Impact factor: 6.155

Review 2.  Genetic and Genomic Resources for Soybean Breeding Research.

Authors:  Jakob Petereit; Jacob I Marsh; Philipp E Bayer; Monica F Danilevicz; William J W Thomas; Jacqueline Batley; David Edwards
Journal:  Plants (Basel)       Date:  2022-04-27

Review 3.  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 4.  Pangenomes as a Resource to Accelerate Breeding of Under-Utilised Crop Species.

Authors:  Cassandria Geraldine Tay Fernandez; Benjamin John Nestor; Monica Furaste Danilevicz; Mitchell Gill; Jakob Petereit; Philipp Emanuel Bayer; Patrick Michael Finnegan; Jacqueline Batley; David Edwards
Journal:  Int J Mol Sci       Date:  2022-02-28       Impact factor: 5.923

5.  Development of a versatile resource for post-genomic research through consolidating and characterizing 1500 diverse wild and cultivated soybean genomes.

Authors:  Hengyou Zhang; He Jiang; Zhenbin Hu; Qijian Song; Yong-Qiang Charles An
Journal:  BMC Genomics       Date:  2022-03-31       Impact factor: 3.969

6.  Machine learning models outperform deep learning models, provide interpretation and facilitate feature selection for soybean trait prediction.

Authors:  Mitchell Gill; Robyn Anderson; Haifei Hu; Mohammed Bennamoun; Jakob Petereit; Babu Valliyodan; Henry T Nguyen; Jacqueline Batley; Philipp E Bayer; David Edwards
Journal:  BMC Plant Biol       Date:  2022-04-08       Impact factor: 4.215

Review 7.  Expanding Gene-Editing Potential in Crop Improvement with Pangenomes.

Authors:  Cassandria G Tay Fernandez; Benjamin J Nestor; Monica F Danilevicz; Jacob I Marsh; Jakob Petereit; Philipp E Bayer; Jacqueline Batley; David Edwards
Journal:  Int J Mol Sci       Date:  2022-02-18       Impact factor: 5.923

8.  Combined use of Oxford Nanopore and Illumina sequencing yields insights into soybean structural variation biology.

Authors:  Marc-André Lemay; Jonas A Sibbesen; Davoud Torkamaneh; Jérémie Hamel; Roger C Levesque; François Belzile
Journal:  BMC Biol       Date:  2022-02-23       Impact factor: 7.431

9.  Risk assessment of a new bioinformatics evaluation of the insertion sites of genetically modified soybean event 40-3-2.

Authors:  Ewen Mullins; Jean-Louis Bresson; Tamas Dalmay; Ian Crawford Dewhurst; Michelle M Epstein; Leslie George Firbank; Philippe Guerche; Jan Hejatko; Francisco Javier Moreno; Hanspeter Naegeli; Fabien Nogué; Nils Rostoks; Jose Juan Sánchez Serrano; Giovanni Savoini; Eve Veromann; Fabio Veronesi; Tilemachos Goumperis; Tommaso Raffaello
Journal:  EFSA J       Date:  2022-07-22

Review 10.  Pangenomics and Crop Genome Adaptation in a Changing Climate.

Authors:  Jakob Petereit; Philipp E Bayer; William J W Thomas; Cassandria G Tay Fernandez; Junrey Amas; Yueqi Zhang; Jacqueline Batley; David Edwards
Journal:  Plants (Basel)       Date:  2022-07-27
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.