Literature DB >> 26269504

Genetic Control of Environmental Variation of Two Quantitative Traits of Drosophila melanogaster Revealed by Whole-Genome Sequencing.

Peter Sørensen1, Gustavo de los Campos2, Fabio Morgante3, Trudy F C Mackay3, Daniel Sorensen4.   

Abstract

Genetic studies usually focus on quantifying and understanding the existence of genetic control on expected phenotypic outcomes. However, there is compelling evidence suggesting the existence of genetic control at the level of environmental variability, with some genotypes exhibiting more stable and others more volatile performance. Understanding the mechanisms responsible for environmental variability not only informs medical questions but is relevant in evolution and in agricultural science. In this work fully sequenced inbred lines of Drosophila melanogaster were analyzed to study the nature of genetic control of environmental variance for two quantitative traits: starvation resistance (SR) and startle response (SL). The evidence for genetic control of environmental variance is compelling for both traits. Sequence information is incorporated in random regression models to study the underlying genetic signals, which are shown to be different in the two traits. Genomic variance in sexual dimorphism was found for SR but not for SL. Indeed, the proportion of variance captured by sequence information and the contribution to this variance from four chromosome segments differ between sexes in SR but not in SL. The number of studies of environmental variation, particularly in humans, is limited. The availability of full sequence information and modern computationally intensive statistical methods provides opportunities for rigorous analyses of environmental variability.
Copyright © 2015 by the Genetics Society of America.

Entities:  

Keywords:  Bayesian inference; environmental sensitivity; genetic control of environmental variance; genomic models; random regression models

Mesh:

Year:  2015        PMID: 26269504      PMCID: PMC4596664          DOI: 10.1534/genetics.115.180273

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  29 in total

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Authors:  N Ibáñez-Escriche; L Varona; D Sorensen; J L Noguera
Journal:  Animal       Date:  2008-01       Impact factor: 3.240

2.  Evidence for genetic control of adult weight plasticity in the snail Helix aspersa.

Authors:  Mathieu Ros; Daniel Sorensen; Rasmus Waagepetersen; Mathilde Dupont-Nivet; Magali SanCristobal; Jean-Claude Bonnet; Jacques Mallard
Journal:  Genetics       Date:  2004-12       Impact factor: 4.562

3.  Evolution of the environmental component of the phenotypic variance: stabilizing selection in changing environments and the cost of homogeneity.

Authors:  Xu-Sheng Zhang; William G Hill
Journal:  Evolution       Date:  2005-06       Impact factor: 3.694

4.  Analysis of a genetically structured variance heterogeneity model using the Box-Cox transformation.

Authors:  Ye Yang; Ole F Christensen; Daniel Sorensen
Journal:  Genet Res (Camb)       Date:  2011-02-25       Impact factor: 1.588

Review 5.  Drosophila bristles and the nature of quantitative genetic variation.

Authors:  Trudy F Mackay; Richard F Lyman
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-07-29       Impact factor: 6.237

6.  Genetic heterogeneity of residual variance in broiler chickens.

Authors:  Suzanne J Rowe; Ian M S White; Santiago Avendaño; William G Hill
Journal:  Genet Sel Evol       Date:  2006-11-28       Impact factor: 4.297

7.  Inheritance beyond plain heritability: variance-controlling genes in Arabidopsis thaliana.

Authors:  Xia Shen; Mats Pettersson; Lars Rönnegård; Örjan Carlborg
Journal:  PLoS Genet       Date:  2012-08-02       Impact factor: 5.917

8.  Genomic analysis of QTLs and genes altering natural variation in stochastic noise.

Authors:  Jose M Jimenez-Gomez; Jason A Corwin; Bindu Joseph; Julin N Maloof; Daniel J Kliebenstein
Journal:  PLoS Genet       Date:  2011-09-29       Impact factor: 5.917

9.  Phenotypic plasticity of the Drosophila transcriptome.

Authors:  Shanshan Zhou; Terry G Campbell; Eric A Stone; Trudy F C Mackay; Robert R H Anholt
Journal:  PLoS Genet       Date:  2012-03-29       Impact factor: 5.917

10.  Selection for uniformity in livestock by exploiting genetic heterogeneity of residual variance.

Authors:  Han A Mulder; Piter Bijma; William G Hill
Journal:  Genet Sel Evol       Date:  2007-12-21       Impact factor: 4.297

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  6 in total

1.  Genomic Prediction for Quantitative Traits Is Improved by Mapping Variants to Gene Ontology Categories in Drosophila melanogaster.

Authors:  Stefan M Edwards; Izel F Sørensen; Pernille Sarup; Trudy F C Mackay; Peter Sørensen
Journal:  Genetics       Date:  2016-05-27       Impact factor: 4.562

2.  Multiple Trait Covariance Association Test Identifies Gene Ontology Categories Associated with Chill Coma Recovery Time in Drosophila melanogaster.

Authors:  Izel Fourie Sørensen; Stefan M Edwards; Palle Duun Rohde; Peter Sørensen
Journal:  Sci Rep       Date:  2017-05-25       Impact factor: 4.379

3.  Selection for environmental variance of litter size in rabbits.

Authors:  Agustín Blasco; Marina Martínez-Álvaro; Maria-Luz García; Noelia Ibáñez-Escriche; María-José Argente
Journal:  Genet Sel Evol       Date:  2017-05-22       Impact factor: 4.297

4.  Patterns of environmental variance across environments and traits in domestic cattle.

Authors:  Mads F Schou; Torsten N Kristensen; Ary A Hoffmann
Journal:  Evol Appl       Date:  2020-03-06       Impact factor: 5.183

5.  vqtl: An R Package for Mean-Variance QTL Mapping.

Authors:  Robert W Corty; William Valdar
Journal:  G3 (Bethesda)       Date:  2018-12-10       Impact factor: 3.154

6.  QTL Mapping on a Background of Variance Heterogeneity.

Authors:  Robert W Corty; William Valdar
Journal:  G3 (Bethesda)       Date:  2018-12-10       Impact factor: 3.154

  6 in total

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