MckownKlapsteGuyEtAl2014

Reference

Mckown, A. D., Klapste, J., Guy, R. D., Geraldes, A., Porth, I., Hannemann, J., Friedmann, M., Muchero, W., Tuskan, G. A., Ehlting, J., Cronk, Q. C. B., El-Kassaby, Y. A., Mansfield, S. D. and Douglas, C. J. (2014) Genome-wide association implicates numerous genes underlying ecological trait variation in natural populations of Populus trichocarpa. New Phytologist, 203(2):535-553. (Scopus )

Abstract

In order to uncover the genetic basis of phenotypic trait variation, we used 448 unrelated wild accessions of black cottonwood (Populus trichocarpa) from much of its range in western North America. Extensive data from large-scale trait phenotyping (with spatial and temporal replications within a common garden) and genotyping (with a 34 K Populus single nucleotide polymorphism (SNP) array) of all accessions were used for gene discovery in a genome-wide association study (GWAS). We performed GWAS with 40 biomass, ecophysiology and phenology traits and 29 355 filtered SNPs representing 3518 genes. The association analyses were carried out using a Unified Mixed Model accounting for population structure effects among accessions. We uncovered 410 significant SNPs using a Bonferroni-corrected threshold (P < 1.7 �-- 10-6). Markers were found across 19 chromosomes, explained 1-13% of trait variation, and implicated 275 unique genes in trait associations. Phenology had the largest number of associated genes (240 genes), followed by biomass (53 genes) and ecophysiology traits (25 genes). The GWAS results propose numerous loci for further investigation. Many traits had significant associations with multiple genes, underscoring their genetic complexity. Genes were also identified with multiple trait associations within and/or across trait categories. In some cases, traits were genetically correlated while in others they were not. © 2014 New Phytologist Trust.

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@ARTICLE { MckownKlapsteGuyEtAl2014,
    AUTHOR = { Mckown, A. D. and Klapste, J. and Guy, R. D. and Geraldes, A. and Porth, I. and Hannemann, J. and Friedmann, M. and Muchero, W. and Tuskan, G. A. and Ehlting, J. and Cronk, Q. C. B. and El-Kassaby, Y. A. and Mansfield, S. D. and Douglas, C. J. },
    TITLE = { Genome-wide association implicates numerous genes underlying ecological trait variation in natural populations of Populus trichocarpa },
    JOURNAL = { New Phytologist },
    YEAR = { 2014 },
    VOLUME = { 203 },
    NUMBER = { 2 },
    PAGES = { 535--553 },
    ABSTRACT = { In order to uncover the genetic basis of phenotypic trait variation, we used 448 unrelated wild accessions of black cottonwood (Populus trichocarpa) from much of its range in western North America. Extensive data from large-scale trait phenotyping (with spatial and temporal replications within a common garden) and genotyping (with a 34 K Populus single nucleotide polymorphism (SNP) array) of all accessions were used for gene discovery in a genome-wide association study (GWAS). We performed GWAS with 40 biomass, ecophysiology and phenology traits and 29 355 filtered SNPs representing 3518 genes. The association analyses were carried out using a Unified Mixed Model accounting for population structure effects among accessions. We uncovered 410 significant SNPs using a Bonferroni-corrected threshold (P < 1.7 �-- 10-6). Markers were found across 19 chromosomes, explained 1-13% of trait variation, and implicated 275 unique genes in trait associations. Phenology had the largest number of associated genes (240 genes), followed by biomass (53 genes) and ecophysiology traits (25 genes). The GWAS results propose numerous loci for further investigation. Many traits had significant associations with multiple genes, underscoring their genetic complexity. Genes were also identified with multiple trait associations within and/or across trait categories. In some cases, traits were genetically correlated while in others they were not. © 2014 New Phytologist Trust. },
    COMMENT = { Cited By :32 Export Date: 17 November 2016 },
    DATABASE = { Scopus },
    KEYWORDS = { Biomass, Ecophysiology, Genome-wide association study (GWAS), Phenology, Pleiotropy, Poplar, Single nucleotide polymorphisms (SNP) array, Unified Mixed Model, biomass, chromosome, deciduous tree, ecophysiology, genetically modified organism, genome, numerical model, phenology, pleiotropy, polymorphism, population structure, spatiotemporal analysis, North America, Populus, Populus trichocarpa, genetic marker, biomass, ecology, genetic association, genetic marker, genetics, North America, phenotype, physiology, population genetics, Populus, quantitative trait, single nucleotide polymorphism, Biomass, Ecology, Genetic Markers, Genetics, Population, Genome-Wide Association Study, North America, Phenotype, Polymorphism, Single Nucleotide, Populus, Quantitative Trait, Heritable },
    OWNER = { Luc },
    TIMESTAMP = { 2016.11.17 },
    URL = { https://www.scopus.com/inward/record.uri?eid=2-s2.0-84902545032&partnerID=40&md5=57edce9ccec64e4b101ce6a3ac1f6a14 },
}

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