Literature DB >> 27704301

Genetic and Genomic Response to Selection for Food Consumption in Drosophila melanogaster.

Megan E Garlapow1,2,3, Logan J Everett1,2,3,4, Shanshan Zhou1,2,3,4, Alexander W Gearhart2,3, Kairsten A Fay2,3, Wen Huang1,2,3,4, Tatiana V Morozova2,3, Gunjan H Arya2,3, Lavanya Turlapati2,3, Genevieve St Armour2,3, Yasmeen N Hussain2,3, Sarah E McAdams2,3, Sophia Fochler2,3,5, Trudy F C Mackay6,7,8,9.   

Abstract

Food consumption is an essential component of animal fitness; however, excessive food intake in humans increases risk for many diseases. The roles of neuroendocrine feedback loops, food sensing modalities, and physiological state in regulating food intake are well understood, but not the genetic basis underlying variation in food consumption. Here, we applied ten generations of artificial selection for high and low food consumption in replicate populations of Drosophila melanogaster. The phenotypic response to selection was highly asymmetric, with significant responses only for increased food consumption and minimal correlated responses in body mass and composition. We assessed the molecular correlates of selection responses by DNA and RNA sequencing of the selection lines. The high and low selection lines had variants with significantly divergent allele frequencies within or near 2081 genes and 3526 differentially expressed genes in one or both sexes. A total of 519 genes were both genetically divergent and differentially expressed between the divergent selection lines. We performed functional analyses of the effects of RNAi suppression of gene expression and induced mutations for 27 of these candidate genes that have human orthologs and the strongest statistical support, and confirmed that 25 (93 %) affected the mean and/or variance of food consumption.

Entities:  

Keywords:  CAFE assay; DNA-seq; Feeding behavior; RNA-seq; Realized heritability

Mesh:

Substances:

Year:  2016        PMID: 27704301      PMCID: PMC5305434          DOI: 10.1007/s10519-016-9819-x

Source DB:  PubMed          Journal:  Behav Genet        ISSN: 0001-8244            Impact factor:   2.805


  96 in total

1.  Identification of genes involved in Drosophila melanogaster geotaxis, a complex behavioral trait.

Authors:  Daniel P Toma; Kevin P White; Jerry Hirsch; Ralph J Greenspan
Journal:  Nat Genet       Date:  2002-06-03       Impact factor: 38.330

Review 2.  How accurate is self-reported dietary energy intake?

Authors:  D A Schoeller
Journal:  Nutr Rev       Date:  1990-10       Impact factor: 7.110

3.  Metabolic regulation of Drosophila apoptosis through inhibitory phosphorylation of Dronc.

Authors:  Chih-Sheng Yang; Michael J Thomenius; Eugene C Gan; Wanli Tang; Christopher D Freel; Thomas J S Merritt; Leta K Nutt; Sally Kornbluth
Journal:  EMBO J       Date:  2010-08-10       Impact factor: 11.598

4.  Response to selection and realized heritability of sperm length in the yellow dung fly (Scathophaga stercoraria).

Authors:  R Dobler; D J Hosken
Journal:  Heredity (Edinb)       Date:  2010-01       Impact factor: 3.821

5.  Corrective responses in human food intake identified from an analysis of 7-d food-intake records.

Authors:  George A Bray; Jean-Pierre Flatt; Julia Volaufova; James P Delany; Catherine M Champagne
Journal:  Am J Clin Nutr       Date:  2008-12       Impact factor: 7.045

6.  The Drosophila melanogaster Genetic Reference Panel.

Authors:  Trudy F C Mackay; Stephen Richards; Eric A Stone; Antonio Barbadilla; Julien F Ayroles; Dianhui Zhu; Sònia Casillas; Yi Han; Michael M Magwire; Julie M Cridland; Mark F Richardson; Robert R H Anholt; Maite Barrón; Crystal Bess; Kerstin Petra Blankenburg; Mary Anna Carbone; David Castellano; Lesley Chaboub; Laura Duncan; Zeke Harris; Mehwish Javaid; Joy Christina Jayaseelan; Shalini N Jhangiani; Katherine W Jordan; Fremiet Lara; Faye Lawrence; Sandra L Lee; Pablo Librado; Raquel S Linheiro; Richard F Lyman; Aaron J Mackey; Mala Munidasa; Donna Marie Muzny; Lynne Nazareth; Irene Newsham; Lora Perales; Ling-Ling Pu; Carson Qu; Miquel Ràmia; Jeffrey G Reid; Stephanie M Rollmann; Julio Rozas; Nehad Saada; Lavanya Turlapati; Kim C Worley; Yuan-Qing Wu; Akihiko Yamamoto; Yiming Zhu; Casey M Bergman; Kevin R Thornton; David Mittelman; Richard A Gibbs
Journal:  Nature       Date:  2012-02-08       Impact factor: 49.962

7.  MAPK/ERK signaling regulates insulin sensitivity to control glucose metabolism in Drosophila.

Authors:  Wei Zhang; Barry J Thompson; Ville Hietakangas; Stephen M Cohen
Journal:  PLoS Genet       Date:  2011-12-29       Impact factor: 5.917

8.  HTSeq--a Python framework to work with high-throughput sequencing data.

Authors:  Simon Anders; Paul Theodor Pyl; Wolfgang Huber
Journal:  Bioinformatics       Date:  2014-09-25       Impact factor: 6.937

9.  Patterns of linkage disequilibrium and long range hitchhiking in evolving experimental Drosophila melanogaster populations.

Authors:  Susanne U Franssen; Viola Nolte; Ray Tobler; Christian Schlötterer
Journal:  Mol Biol Evol       Date:  2014-11-17       Impact factor: 16.240

10.  FlyBase 102--advanced approaches to interrogating FlyBase.

Authors:  Susan E St Pierre; Laura Ponting; Raymund Stefancsik; Peter McQuilton
Journal:  Nucleic Acids Res       Date:  2013-11-13       Impact factor: 16.971

View more
  10 in total

1.  Genetics of alcohol consumption in Drosophila melanogaster.

Authors:  S Fochler; T V Morozova; M R Davis; A W Gearhart; W Huang; T F C Mackay; R R H Anholt
Journal:  Genes Brain Behav       Date:  2017-07-21       Impact factor: 3.449

2.  Starvation resistance is associated with developmentally specified changes in sleep, feeding and metabolic rate.

Authors:  Elizabeth B Brown; Melissa E Slocumb; Milan Szuperak; Arianna Kerbs; Allen G Gibbs; Matthew S Kayser; Alex C Keene
Journal:  J Exp Biol       Date:  2019-02-08       Impact factor: 3.312

3.  Artificial selection for odor-guided behavior in Drosophila reveals changes in food consumption.

Authors:  Elizabeth B Brown; Cody Patterson; Rayanne Pancoast; Stephanie M Rollmann
Journal:  BMC Genomics       Date:  2017-11-13       Impact factor: 3.969

4.  A Drosophila model for toxicogenomics: Genetic variation in susceptibility to heavy metal exposure.

Authors:  Shanshan Zhou; Sarah E Luoma; Genevieve E St Armour; Esha Thakkar; Trudy F C Mackay; Robert R H Anholt
Journal:  PLoS Genet       Date:  2017-07-21       Impact factor: 5.917

5.  A 24 h Age Difference Causes Twice as Much Gene Expression Divergence as 100 Generations of Adaptation to a Novel Environment.

Authors:  Sheng-Kai Hsu; Ana Marija Jakšić; Viola Nolte; Neda Barghi; François Mallard; Kathrin A Otte; Christian Schlötterer
Journal:  Genes (Basel)       Date:  2019-01-28       Impact factor: 4.096

6.  Behavioral and Transcriptional Response to Selection for Olfactory Behavior in Drosophila.

Authors:  Elizabeth B Brown; John E Layne; Alexandra R Elchert; Stephanie M Rollmann
Journal:  G3 (Bethesda)       Date:  2020-04-09       Impact factor: 3.154

7.  Genetic basis of variation in cocaine and methamphetamine consumption in outbred populations of Drosophila melanogaster.

Authors:  Brandon M Baker; Mary Anna Carbone; Wen Huang; Robert R H Anholt; Trudy F C Mackay
Journal:  Proc Natl Acad Sci U S A       Date:  2021-06-08       Impact factor: 11.205

8.  Selection for long and short sleep duration in Drosophila melanogaster reveals the complex genetic network underlying natural variation in sleep.

Authors:  Susan T Harbison; Yazmin L Serrano Negron; Nancy F Hansen; Amanda S Lobell
Journal:  PLoS Genet       Date:  2017-12-14       Impact factor: 5.917

9.  The Drosophila Post-mating Response: Gene Expression and Behavioral Changes Reveal Perdurance and Variation in Cross-Tissue Interactions.

Authors:  Nicole R Newell; Surjyendu Ray; Justin E Dalton; Julia C Fortier; Joyce Y Kao; Peter L Chang; Sergey V Nuzhdin; Michelle N Arbeitman
Journal:  G3 (Bethesda)       Date:  2020-03-05       Impact factor: 3.154

10.  Natural selection on sleep duration in Drosophila melanogaster.

Authors:  Caetano Souto-Maior; Yazmin L Serrano Negron; Susan T Harbison
Journal:  Sci Rep       Date:  2020-11-26       Impact factor: 4.996

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.