Literature DB >> 35064403

Perspectives and recent progress of genome-wide association studies (GWAS) in fruits.

Ghassan Zahid1, Yıldız Aka Kaçar2, Dicle Dönmez3, Ayzin Küden2, Tommaso Giordani4.   

Abstract

BACKGROUND: Earlier next-generation sequencing technologies are being vastly used to explore, administer, and investigate the gene space with accurate profiling of nucleotide variations in the germplasm. OVERVIEW AND PROGRESS: Recently, novel advancements in high-throughput sequencing technologies allow a genotyping-by-sequencing approach that has opened up new horizons for extensive genotyping exploiting single-nucleotide-polymorphisms (SNPs). This method acts as a bridge to support and minimize a genotype to phenotype gap allowing genetic selection at the genome-wide level, named genomic selection that could facilitate the selection of traits also in the pomology sector. In addition to this, genome-wide genotyping is a prerequisite for genome-wide association studies that have been used successfully to discover the genes, which control polygenic traits including the genetic loci, associated with the trait of interest in fruit crops. AIMS AND PROSPECTS: This review article emphasizes the role of genome-wide approaches to unlock and explore the genetic potential along with the detection of SNPs affecting the phenotype of fruit crops and highlights the prospects of genome-wide association studies in fruits.
© 2021. The Author(s), under exclusive licence to Springer Nature B.V.

Entities:  

Keywords:  Fruits; Genome-wide association studies (GWAS); Genomic selection (GS); Genotyping-by-sequencing (GBS); Next-generation sequencing (NGS); Single-nucleotide polymorphisms (SNPs)

Mesh:

Substances:

Year:  2022        PMID: 35064403     DOI: 10.1007/s11033-021-07055-9

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.742


  35 in total

Review 1.  Association mapping in forest trees and fruit crops.

Authors:  M Awais Khan; Schuyler S Korban
Journal:  J Exp Bot       Date:  2012-04-17       Impact factor: 6.992

Review 2.  Genome-wide association studies for common diseases and complex traits.

Authors:  Joel N Hirschhorn; Mark J Daly
Journal:  Nat Rev Genet       Date:  2005-02       Impact factor: 53.242

3.  TASSEL: software for association mapping of complex traits in diverse samples.

Authors:  Peter J Bradbury; Zhiwu Zhang; Dallas E Kroon; Terry M Casstevens; Yogesh Ramdoss; Edward S Buckler
Journal:  Bioinformatics       Date:  2007-06-22       Impact factor: 6.937

Review 4.  Natural variations and genome-wide association studies in crop plants.

Authors:  Xuehui Huang; Bin Han
Journal:  Annu Rev Plant Biol       Date:  2013-11-20       Impact factor: 26.379

Review 5.  Prioritizing GWAS results: A review of statistical methods and recommendations for their application.

Authors:  Rita M Cantor; Kenneth Lange; Janet S Sinsheimer
Journal:  Am J Hum Genet       Date:  2010-01       Impact factor: 11.025

Review 6.  Association mapping: critical considerations shift from genotyping to experimental design.

Authors:  Sean Myles; Jason Peiffer; Patrick J Brown; Elhan S Ersoz; Zhiwu Zhang; Denise E Costich; Edward S Buckler
Journal:  Plant Cell       Date:  2009-08-04       Impact factor: 11.277

7.  Genetic structure and domestication history of the grape.

Authors:  Sean Myles; Adam R Boyko; Christopher L Owens; Patrick J Brown; Fabrizio Grassi; Mallikarjuna K Aradhya; Bernard Prins; Andy Reynolds; Jer-Ming Chia; Doreen Ware; Carlos D Bustamante; Edward S Buckler
Journal:  Proc Natl Acad Sci U S A       Date:  2011-01-18       Impact factor: 11.205

8.  Linkage and association mapping of Arabidopsis thaliana flowering time in nature.

Authors:  Benjamin Brachi; Nathalie Faure; Matt Horton; Emilie Flahauw; Adeline Vazquez; Magnus Nordborg; Joy Bergelson; Joel Cuguen; Fabrice Roux
Journal:  PLoS Genet       Date:  2010-05-06       Impact factor: 5.917

9.  Predicting unobserved phenotypes for complex traits from whole-genome SNP data.

Authors:  Sang Hong Lee; Julius H J van der Werf; Ben J Hayes; Michael E Goddard; Peter M Visscher
Journal:  PLoS Genet       Date:  2008-10-24       Impact factor: 5.917

10.  Multivariate GBLUP Improves Accuracy of Genomic Selection for Yield and Fruit Weight in Biparental Populations of Vaccinium macrocarpon Ait.

Authors:  Giovanny Covarrubias-Pazaran; Brandon Schlautman; Luis Diaz-Garcia; Edward Grygleski; James Polashock; Jennifer Johnson-Cicalese; Nicholi Vorsa; Massimo Iorizzo; Juan Zalapa
Journal:  Front Plant Sci       Date:  2018-09-12       Impact factor: 5.753

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