Genome-wide association studies: assessing trait characteristics in model and crop plants

被引:68
作者
Alseekh, Saleh [1 ,2 ]
Kostova, Dimitrina [2 ,3 ]
Bulut, Mustafa [1 ]
Fernie, Alisdair R. [1 ,2 ]
机构
[1] Max Planck Inst Mol Plant Physiol, Muhlenberg 1, D-14476 Potsdam, Germany
[2] Ctr Plant Syst Biol & Biotechnol, Plovdiv 4000, Bulgaria
[3] Maritsa Vegetable Crops Res Inst MVCRI, Plovdiv, Bulgaria
基金
欧盟地平线“2020”;
关键词
GWAS; Genetic architecture; Quantitative trait loci; Crop species; NATURAL VARIATION; GENETIC ARCHITECTURE; TRANSCRIPTION FACTOR; QUANTITATIVE TRAIT; AGRONOMIC TRAITS; COMMON VARIANTS; MAPPING REVEALS; FLOWERING-TIME; GRAIN LENGTH; MAIZE;
D O I
10.1007/s00018-021-03868-w
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
GWAS involves testing genetic variants across the genomes of many individuals of a population to identify genotype-phenotype association. It was initially developed and has proven highly successful in human disease genetics. In plants genome-wide association studies (GWAS) initially focused on single feature polymorphism and recombination and linkage disequilibrium but has now been embraced by a plethora of different disciplines with several thousand studies being published in model and crop species within the last decade or so. Here we will provide a comprehensive review of these studies providing cases studies on biotic resistance, abiotic tolerance, yield associated traits, and metabolic composition. We also detail current strategies of candidate gene validation as well as the functional study of haplotypes. Furthermore, we provide a critical evaluation of the GWAS strategy and its alternatives as well as future perspectives that are emerging with the emergence of pan-genomic datasets.
引用
收藏
页码:5743 / 5754
页数:12
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