Epistasis dominates the genetic architecture of Drosophila quantitative traits

被引:265
|
作者
Huang, Wen [1 ]
Richards, Stephen [3 ]
Carbone, Mary Anna [1 ]
Zhu, Dianhui [3 ]
Anholt, Robert R. H. [2 ]
Ayroles, Julien F. [1 ]
Duncan, Laura [1 ]
Jordan, Katherine W. [1 ]
Lawrence, Faye [1 ]
Magwire, Michael M. [1 ]
Warner, Crystal B. [3 ]
Blankenburg, Kerstin [3 ]
Han, Yi [3 ]
Javaid, Mehwish [3 ]
Jayaseelan, Joy [3 ]
Jhangiani, Shalini N. [3 ]
Muzny, Donna [3 ]
Ongeri, Fiona [3 ]
Perales, Lora [3 ]
Wu, Yuan-Qing [3 ]
Zhang, Yiqing [3 ]
Zou, Xiaoyan [3 ]
Stone, Eric A. [1 ]
Gibbs, Richard A. [3 ]
Mackay, Trudy F. C. [1 ]
机构
[1] N Carolina State Univ, Dept Genet, Raleigh, NC 27695 USA
[2] N Carolina State Univ, Dept Biol, Raleigh, NC 27695 USA
[3] Baylor Coll Med, Human Genome Sequencing Ctr, Houston, TX 77030 USA
基金
美国国家卫生研究院;
关键词
chill coma recovery; genetic interaction networks; genome-wide association studies; startle response; starvation resistance; ARABIDOPSIS-THALIANA; MISSING HERITABILITY; HUMAN HEIGHT; EVOLUTION; POOLS;
D O I
10.1073/pnas.1213423109
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Epistasis-nonlinear genetic interactions between polymorphic loci-is the genetic basis of canalization and speciation, and epistatic interactions can be used to infer genetic networks affecting quantitative traits. However, the role that epistasis plays in the genetic architecture of quantitative traits is controversial. Here, we compared the genetic architecture of three Drosophila life history traits in the sequenced inbred lines of the Drosophila melanogaster Genetic Reference Panel (DGRP) and a large outbred, advanced intercross population derived from 40 DGRP lines (Flyland). We assessed allele frequency changes between pools of individuals at the extremes of the distribution for each trait in the Flyland population by deep DNA sequencing. The genetic architecture of all traits was highly polygenic in both analyses. Surprisingly, none of the SNPs associated with the traits in Flyland replicated in the DGRP and vice versa. However, the majority of these SNPs participated in at least one epistatic interaction in the DGRP. Despite apparent additive effects at largely distinct loci in the two populations, the epistatic interactions perturbed common, biologically plausible, and highly connected genetic networks. Our analysis underscores the importance of epistasis as a principal factor that determines variation for quantitative traits and provides a means to uncover genetic networks affecting these traits. Knowledge of epistatic networks will contribute to our understanding of the genetic basis of evolutionarily and clinically important traits and enhance predictive ability at an individualized level in medicine and agriculture.
引用
收藏
页码:15553 / 15559
页数:7
相关论文
共 50 条
  • [41] Mapping the genetic architecture of grapevine bud growth-cycling quantitative traits
    Fennell, A.
    Alahakoon, D.
    Luby, J.
    Clark, M.
    PROCEEDINGS OF THE XII INTERNATIONAL CONFERENCE ON GRAPEVINE BREEDING AND GENETICS, 2019, 1248 : 337 - 343
  • [42] Genetic architecture and genomic predictive ability of apple quantitative traits across environments
    Jung, Michaela
    Keller, Beat
    Roth, Morgane
    Aranzana, Maria Jose
    Auwerkerken, Annemarie
    Guerra, Walter
    Al-Rifai, Mehdi
    Lewandowski, Mariusz
    Sanin, Nadia
    Rymenants, Marijn
    Didelot, Frederique
    Dujak, Christian
    Font i Forcada, Carolina
    Knauf, Andrea
    Laurens, Francois
    Studer, Bruno
    Muranty, Helene
    Patocchi, Andrea
    HORTICULTURE RESEARCH, 2022, 9
  • [43] Effect of genetic architecture on the prediction accuracy of quantitative traits in samples of unrelated individuals
    Morgante, Fabio
    Huang, Wen
    Maltecca, Christian
    Mackay, Trudy F. C.
    HEREDITY, 2018, 120 (06) : 500 - 514
  • [44] Genetic Architecture of Quantitative Cardiovascular Traits: Blood Pressure, ECG and Imaging Phenotypes
    Aung, Nay
    Young, William J.
    van Duijvenboden, Stefan
    Ramirez, Julia
    Petersen, Steffen E.
    Munroe, Patricia B.
    2020 COMPUTING IN CARDIOLOGY, 2020,
  • [45] The Genetic Architecture of Behavioural Traits
    Mitchell, Kevin J.
    EUROPEAN JOURNAL OF PERSONALITY, 2011, 25 (04) : 279 - 280
  • [46] Effect of low stressful temperature on genetic variation of five quantitative traits in Drosophila melanogaster
    O A Bubliy
    V Loeschcke
    Heredity, 2002, 89 : 70 - 75
  • [47] Effect of low stressful temperature on genetic variation of five quantitative traits in Drosophila melanogaster
    Bubliy, OA
    Loeschcke, V
    HEREDITY, 2002, 89 (1) : 70 - 75
  • [48] Genetic architecture of cognitive traits
    Hellard, Stephanie
    Steen, Vidar M.
    SCANDINAVIAN JOURNAL OF PSYCHOLOGY, 2014, 55 (03) : 255 - 262
  • [49] MatrixEpistasis: ultrafast, exhaustive epistasis scan for quantitative traits with covariate adjustment
    Zhu, Shijia
    Fang, Gang
    BIOINFORMATICS, 2018, 34 (14) : 2341 - 2348
  • [50] A population genetics model for multiple quantitative traits exhibiting pleiotropy and epistasis
    Taylor, CF
    Higgs, PG
    JOURNAL OF THEORETICAL BIOLOGY, 2000, 203 (04) : 419 - 437