scholarly journals The genetic architecture of defence as resistance to and tolerance of bacterial infection in Drosophila melanogaster

2017 ◽  
Vol 26 (6) ◽  
pp. 1533-1546 ◽  
Author(s):  
Virginia M. Howick ◽  
Brian P. Lazzaro
Keyword(s):  
Drosophila Melanogaster ◽  
Bacterial Infection ◽  
Genetic Architecture

scholarly journals The Genetic Architecture of Resistance to Desiccation in Populations of Drosophila melanogaster and D. simulans

1974 ◽  
Vol 27 (4) ◽  
pp. 441 ◽  
Author(s):  
A McKenzie ◽  
PA Parsons
Keyword(s):  
Drosophila Melanogaster ◽  
Genetic Architecture

Populations of D. melanogaster and D. simulans from Melbourne, Vic., and Brisbane, Qld, were regularly sampled for resistance to desiccation. D. melanogaster was more resistant than D. simulans and females of each species were more resistant than males for both populations.

Oligogenic Adaptation, Soft Sweeps, and Parallel Melanic Evolution in Drosophila melanogaster

2016 ◽  
Author(s):  
Héloïse Bastide ◽  
Jeremy D. Lange ◽  
Justin B. Lack ◽  
Yassin Amir ◽  
John E. Pool
Keyword(s):  
Drosophila Melanogaster ◽  
Genetic Variation ◽  
Evolutionary Biology ◽  
Genetic Architecture ◽  
Genetic Basis ◽  
Simulation Analysis ◽  
Mapping Method ◽  
Sub Saharan Africa ◽  
Mountain Ranges ◽  
Sub Saharan

AbstractUnraveling the genetic architecture of adaptive phenotypic divergence is a fundamental quest in evolutionary biology. In Drosophila melanogaster, high-altitude melanism has evolved in separate mountain ranges in sub-Saharan Africa, potentially as an adaptation to UV intensity. We investigated the genetic basis of this melanism in three populations using a new bulk segregant analysis mapping method. Although hundreds of genes are known to affect cuticular pigmentation in D. melanogaster, we identified only 19 distinct QTLs from 9 mapping crosses, with several QTL peaks being shared among two or all populations. Surprisingly, we did not find wide signals of genetic differentiation (Fst) between lightly and darkly pigmented populations at these QTLs, in spite of the pronounced phenotypic difference in pigmentation. Instead, we found small numbers of highly differentiated SNPs at the probable causative genes. A simulation analysis showed that these patterns of polymorphism are consistent with selection on standing genetic variation (leading to “soft sweeps“). Our results thus support a role for oligogenic selection on standing genetic variation in driving parallel ecological adaptation.

scholarly journals Genetic Networks Underlying Natural Variation in Basal and Induced Activity Levels in Drosophila melanogaster

2020 ◽  
Vol 10 (4) ◽  
pp. 1247-1260 ◽  
Author(s):  
Louis P. Watanabe ◽  
Cameron Gordon ◽  
Mina Y. Momeni ◽  
Nicole C. Riddle
Keyword(s):  
Drosophila Melanogaster ◽  
Candidate Genes ◽  
Genetic Architecture ◽  
Natural Variation ◽  
Neuromuscular Junctions ◽  
Healthy Lifestyle ◽  
Activity Levels ◽  
Exercise Activity ◽  
The Central Nervous System ◽  
Exercise Induced

Exercise is recommended by health professionals across the globe as part of a healthy lifestyle to prevent and/or treat the consequences of obesity. While overall, the health benefits of exercise and an active lifestyle are well understood, very little is known about how genetics impacts an individual’s inclination for and response to exercise. To address this knowledge gap, we investigated the genetic architecture underlying natural variation in activity levels in the model system Drosophila melanogaster. Activity levels were assayed in the Drosophila Genetics Reference Panel fly strains at baseline and in response to a gentle exercise treatment using the Rotational Exercise Quantification System. We found significant, sex-dependent variation in both activity measures and identified over 100 genes that contribute to basal and induced exercise activity levels. This gene set was enriched for genes with functions in the central nervous system and in neuromuscular junctions and included several candidate genes with known activity phenotypes such as flightlessness or uncoordinated movement. Interestingly, there were also several chromatin proteins among the candidate genes, two of which were validated and shown to impact activity levels. Thus, the study described here reveals the complex genetic architecture controlling basal and exercise-induced activity levels in D. melanogaster and provides a resource for exercise biologists.

scholarly journals The effect of diet and time after bacterial infection on fecundity, resistance, and tolerance in Drosophila melanogaster

2016 ◽  
Vol 6 (13) ◽  
pp. 4229-4242 ◽  
Author(s):  
Megan A. M. Kutzer ◽  
Sophie A. O. Armitage
Keyword(s):  
Drosophila Melanogaster ◽  
Bacterial Infection

scholarly journals Genetic architecture underlying morning and evening circadian phenotypes in fruit flies Drosophila melanogaster

Heredity ◽  
2013 ◽  
Vol 111 (4) ◽  
pp. 265-274 ◽  
Author(s):  
K M Vaze ◽  
K L Nikhil ◽  
V K Sharma
Keyword(s):  
Drosophila Melanogaster ◽  
Genetic Architecture ◽  
Fruit Flies

scholarly journals The Genetic Architecture of Methotrexate Toxicity Is Similar in Drosophila melanogaster and Humans

2013 ◽  
Vol 3 (8) ◽  
pp. 1301-1310 ◽  
Author(s):  
Galina Kislukhin ◽  
Elizabeth G. King ◽  
Kelli N. Walters ◽  
Stuart J. Macdonald ◽  
Anthony D. Long
Keyword(s):  
Drosophila Melanogaster ◽  
Genetic Architecture ◽  
Methotrexate Toxicity

scholarly journals Response of Regulatory Genetic Variation in Gene Expression to Environmental Change in Drosophila melanogaster

2020 ◽  
Author(s):  
Wen Huang ◽  
Mary Anna Carbone ◽  
Richard F. Lyman ◽  
Robert H. H. Anholt ◽  
Trudy F. C. Mackay
Keyword(s):  
Gene Expression ◽  
Drosophila Melanogaster ◽  
Genetic Architecture ◽  
Genetic Variance ◽  
Network Connectivity ◽  
Genotype By Environment Interaction ◽  
Stabilizing Selection ◽  
Environment Interaction ◽  
Genotype By Environment ◽  
Phenotypic Responses

AbstractThe genetics of phenotypic responses to changing environments remains elusive. Using whole genome quantitative gene expression as a model, we studied how the genetic architecture of regulatory variation in gene expression changed in a population of fully sequenced inbred Drosophila melanogaster strains when flies developed at different environments (25 °C and 18 °C). We found a substantial fraction of the transcriptome exhibited genotype by environment interaction, implicating environmentally plastic genetic architecture of gene expression. Genetic variance in expression increased at 18 °C relative to 25 °C for most genes that had a change in genetic variance. Although the majority of expression quantitative trait loci (eQTLs) for the gene expression traits in the two environments were shared and had similar effects, analysis of the environment-specific eQTLs revealed enrichment of binding sites for two transcription factors. Finally, although genotype by environment interaction in gene expression could potentially disrupt genetic networks, the co-expression networks were highly conserved across environments. Genes with higher network connectivity were under stronger stabilizing selection, suggesting that stabilizing selection on expression plays an important role in promoting network robustness.

scholarly journals Genetic architecture of natural variation in cuticular hydrocarbon composition in Drosophila melanogaster

eLife ◽  
2015 ◽  
Vol 4 ◽  
Author(s):  
Lauren M Dembeck ◽  
Katalin Böröczky ◽  
Wen Huang ◽  
Coby Schal ◽  
Robert R H Anholt ◽  
...  
Keyword(s):  
Drosophila Melanogaster ◽  
Social Interactions ◽  
Individual Variation ◽  
Genetic Architecture ◽  
Natural Variation ◽  
Genetic Basis ◽  
Acid Metabolism ◽  
Cuticular Hydrocarbon ◽  
Principal Component ◽  
Hydrocarbon Composition

Insect cuticular hydrocarbons (CHCs) prevent desiccation and serve as chemical signals that mediate social interactions. Drosophila melanogaster CHCs have been studied extensively, but the genetic basis for individual variation in CHC composition is largely unknown. We quantified variation in CHC profiles in the D. melanogaster Genetic Reference Panel (DGRP) and identified novel CHCs. We used principal component (PC) analysis to extract PCs that explain the majority of CHC variation and identified polymorphisms in or near 305 and 173 genes in females and males, respectively, associated with variation in these PCs. In addition, 17 DGRP lines contain the functional Desat2 allele characteristic of African and Caribbean D. melanogaster females (more 5,9-C27:2 and less 7,11-C27:2, female sex pheromone isomers). Disruption of expression of 24 candidate genes affected CHC composition in at least one sex. These genes are associated with fatty acid metabolism and represent mechanistic targets for individual variation in CHC composition.

VARIATIONS IN GENETIC ARCHITECTURE AT DIFFERENT DOSES OF γ-RADIATION AS MEASURED BY LONGEVITY IN DROSOPHILA MELANOGASTER

1973 ◽  
Vol 15 (2) ◽  
pp. 289-298 ◽  
Author(s):  
Jane M. Westerman ◽  
P. A. Parsons
Keyword(s):  
Drosophila Melanogaster ◽  
Genetic Architecture ◽  
Inbred Lines ◽  
Additive Effects ◽  
Control Data ◽  
Genetic Studies ◽  
Γ Radiation ◽  
Γ Rays ◽  
High Doses ◽  
Different Doses

Longevity (as a measure of resistance to irradiation) has been examined after different doses of 60Co γ-rays, in four inbred lines and their hybrids in D. melanogaster. The control data showed some additive and non-additive effects. At 40, 60, 80, 100 and 120 krads, non-additive effects were highly significant, but additive effects were significant only at 100 and 120 krads, in particular the latter. Thus the genetic architecture varies with dose. Detailed genetic studies probably are simplest to carry out at high doses, because of the importance of additive effects.

scholarly journals Virulent bacterial infection improves aversive learning performance in Drosophila melanogaster

2014 ◽  
Vol 41 ◽  
pp. 152-161 ◽  
Author(s):  
Aurélie Babin ◽  
Sylvain Kolly ◽  
Tadeusz J. Kawecki
Keyword(s):  
Drosophila Melanogaster ◽  
Bacterial Infection ◽  
Learning Performance ◽  
Aversive Learning
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