Genome-Wide Association Studies to Improve Wood Properties: Challenges and Prospects
Author(s) -
Qingzhang Du,
Wenjie Lu,
Mingyang Quan,
Liang Xiao,
Fangyuan Song,
Peng Li,
Daling Zhou,
Jianbo Xie,
Longxin Wang,
Deqiang Zhang
Publication year - 2018
Publication title -
frontiers in plant science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.752
H-Index - 125
ISSN - 1664-462X
DOI - 10.3389/fpls.2018.01912
Subject(s) - genome wide association study , biology , genetic architecture , quantitative trait locus , genetic association , computational biology , genomics , trait , functional genomics , association mapping , quantitative genetics , evolutionary biology , genome , genetics , genetic variation , computer science , single nucleotide polymorphism , gene , genotype , programming language
Wood formation is an excellent model system for quantitative trait analysis due to the strong associations between the transcriptional and metabolic traits that contribute to this complex process. Investigating the genetic architecture and regulatory mechanisms underlying wood formation will enhance our understanding of the quantitative genetics and genomics of complex phenotypic variation. Genome-wide association studies (GWASs) represent an ideal statistical strategy for dissecting the genetic basis of complex quantitative traits. However, elucidating the molecular mechanisms underlying many favorable loci that contribute to wood formation and optimizing GWAS design remain challenging in this omics era. In this review, we summarize the recent progress in GWAS-based functional genomics of wood property traits in major timber species such as Eucalyptus , Populus , and various coniferous species. We discuss several appropriate experimental designs for extensive GWAS in a given undomesticated tree population, such as omics-wide association studies and high-throughput phenotyping technologies. We also explain why more attention should be paid to rare allelic and major structural variation. Finally, we explore the potential use of GWAS for the molecular breeding of trees. Such studies will help provide an integrated understanding of complex quantitative traits and should enable the molecular design of new cultivars.
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