Literature DB >> 31653677

The Fate of Deleterious Variants in a Barley Genomic Prediction Population.

Thomas J Y Kono1, Chaochih Liu1, Emily E Vonderharr1, Daniel Koenig2, Justin C Fay3, Kevin P Smith1, Peter L Morrell4.   

Abstract

Targeted identification and purging of deleterious genetic variants has been proposed as a novel approach to animal and plant breeding. This strategy is motivated, in part, by the observation that demographic events and strong selection associated with cultivated species pose a "cost of domestication." This includes an increase in the proportion of genetic variants that are likely to reduce fitness. Recent advances in DNA resequencing and sequence constraint-based approaches to predict the functional impact of a mutation permit the identification of putatively deleterious SNPs (dSNPs) on a genome-wide scale. Using exome capture resequencing of 21 barley lines, we identified 3855 dSNPs among 497,754 total SNPs. We generated whole-genome resequencing data of Hordeum murinum ssp. glaucum as a phylogenetic outgroup to polarize SNPs as ancestral vs. derived. We also observed a higher proportion of dSNPs per synonymous SNPs (sSNPs) in low-recombination regions of the genome. Using 5215 progeny from a genomic prediction experiment, we examined the fate of dSNPs over three breeding cycles. Adjusting for initial frequency, derived alleles at dSNPs reduced in frequency or were lost more often than other classes of SNPs. The highest-yielding lines in the experiment, as chosen by standard genomic prediction approaches, carried fewer homozygous dSNPs than randomly sampled lines from the same progeny cycle. In the final cycle of the experiment, progeny selected by genomic prediction had a mean of 5.6% fewer homozygous dSNPs relative to randomly chosen progeny from the same cycle.
Copyright © 2019 by the Genetics Society of America.

Entities:  

Keywords:  deleterious variants; genomic prediction; multiparent population

Mesh:

Substances:

Year:  2019        PMID: 31653677      PMCID: PMC6893365          DOI: 10.1534/genetics.119.302733

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  70 in total

1.  On the number of segregating sites in genetical models without recombination.

Authors:  G A Watterson
Journal:  Theor Popul Biol       Date:  1975-04       Impact factor: 1.570

2.  Recombination in diverse maize is stable, predictable, and associated with genetic load.

Authors:  Eli Rodgers-Melnick; Peter J Bradbury; Robert J Elshire; Jeffrey C Glaubitz; Charlotte B Acharya; Sharon E Mitchell; Chunhui Li; Yongxiang Li; Edward S Buckler
Journal:  Proc Natl Acad Sci U S A       Date:  2015-03-09       Impact factor: 11.205

3.  ALCHEMY: a reliable method for automated SNP genotype calling for small batch sizes and highly homozygous populations.

Authors:  Mark H Wright; Chih-Wei Tung; Keyan Zhao; Andy Reynolds; Susan R McCouch; Carlos D Bustamante
Journal:  Bioinformatics       Date:  2010-10-05       Impact factor: 6.937

4.  ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data.

Authors:  Kai Wang; Mingyao Li; Hakon Hakonarson
Journal:  Nucleic Acids Res       Date:  2010-07-03       Impact factor: 16.971

5.  A framework for variation discovery and genotyping using next-generation DNA sequencing data.

Authors:  Mark A DePristo; Eric Banks; Ryan Poplin; Kiran V Garimella; Jared R Maguire; Christopher Hartl; Anthony A Philippakis; Guillermo del Angel; Manuel A Rivas; Matt Hanna; Aaron McKenna; Tim J Fennell; Andrew M Kernytsky; Andrey Y Sivachenko; Kristian Cibulskis; Stacey B Gabriel; David Altshuler; Mark J Daly
Journal:  Nat Genet       Date:  2011-04-10       Impact factor: 38.330

6.  Removal of alleles by genome editing (RAGE) against deleterious load.

Authors:  Martin Johnsson; R Chris Gaynor; Janez Jenko; Gregor Gorjanc; Dirk-Jan de Koning; John M Hickey
Journal:  Genet Sel Evol       Date:  2019-04-17       Impact factor: 4.297

7.  Environmental Association Identifies Candidates for Tolerance to Low Temperature and Drought.

Authors:  Li Lei; Ana M Poets; Chaochih Liu; Skylar R Wyant; Paul J Hoffman; Corey K Carter; Brian G Shaw; Xin Li; Gary J Muehlbauer; Fumiaki Katagiri; Peter L Morrell
Journal:  G3 (Bethesda)       Date:  2019-10-07       Impact factor: 3.154

8.  Development and implementation of high-throughput SNP genotyping in barley.

Authors:  Timothy J Close; Prasanna R Bhat; Stefano Lonardi; Yonghui Wu; Nils Rostoks; Luke Ramsay; Arnis Druka; Nils Stein; Jan T Svensson; Steve Wanamaker; Serdar Bozdag; Mikeal L Roose; Matthew J Moscou; Shiaoman Chao; Rajeev K Varshney; Péter Szucs; Kazuhiro Sato; Patrick M Hayes; David E Matthews; Andris Kleinhofs; Gary J Muehlbauer; Joseph DeYoung; David F Marshall; Kavitha Madishetty; Raymond D Fenton; Pascal Condamine; Andreas Graner; Robbie Waugh
Journal:  BMC Genomics       Date:  2009-12-04       Impact factor: 3.969

9.  Fast and accurate short read alignment with Burrows-Wheeler transform.

Authors:  Heng Li; Richard Durbin
Journal:  Bioinformatics       Date:  2009-05-18       Impact factor: 6.937

10.  A population genetic interpretation of GWAS findings for human quantitative traits.

Authors:  Yuval B Simons; Kevin Bullaughey; Richard R Hudson; Guy Sella
Journal:  PLoS Biol       Date:  2018-03-16       Impact factor: 8.029

View more
  1 in total

1.  Horizontally Acquired nrDNAs Persist in Low Amounts in Host Hordeum Genomes and Evolve Independently of Native nrDNA.

Authors:  Karol Krak; Petra Caklová; David Kopecký; Frank R Blattner; Václav Mahelka
Journal:  Front Plant Sci       Date:  2021-05-17       Impact factor: 5.753

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.