Study

Curated
Shorter et al., 2015
Genetic architecture of natural variation in Drosophila melanogaster aggressive behavior
[10.1073/pnas.1510104112][FBrf0228967]

Description

With the exception of genetic variants associated with bioamine signaling, which have been implicated in aggression in many species, the genetic basis of natural variation in aggression is largely unknown. This study identified genes that have been previously involved in aggressive behavior as well as many novel loci, including gustatory receptor 63a (Gr63a), which encodes a subunit of the receptor for CO2, and genes associated with the development and function of the nervous system.

Comments from curator

Phenotyping data are coming from Dataset S1 in the Supporting information section.

The authors quantified aggressive behavior for groups of eight flies of the same genotype (“eight fly” assay) or of a single focal fly and seven flies of a different genotype (“focal fly” assay), as previously described (Edwards et al, 2006). The aggression score corresponds to the number of aggressive encounters (wing threats, charges, head butts, chases, kicks, and boxing) that was scored for 2 min in the same vial. In the eight fly assays, all aggressive encounters from all flies in the group were summed to give a single aggression score per replicate vial. In the focal fly assays, only aggressive encounters in which the focal male participated were scored.

An adjusted aggression score was calculated by adjusting the raw data for weekly environmental fluctuations using the deviations from contemporaneous CSB (w1118 Canton S B) control line means. The overall CSB mean over all weeks was added to all adjusted scores.

Of note, raw data and non-adjusted data are not available, so some plots may not be reproducible.

1 category

Behaviour

1 phenotype

mn_AggressionScore

200 DGRP lines 188 available 12 genotyped

DGRP_021 DGRP_026 DGRP_028 DGRP_031 DGRP_032 DGRP_038 DGRP_040 DGRP_041 DGRP_042 DGRP_045 DGRP_048 DGRP_049 DGRP_057 DGRP_059 DGRP_069 DGRP_073 DGRP_075 DGRP_083 DGRP_085 DGRP_088 DGRP_091 DGRP_093 DGRP_100 DGRP_101 DGRP_105 DGRP_109 DGRP_129 DGRP_136 DGRP_138 DGRP_142 DGRP_149 DGRP_153 DGRP_158 DGRP_161 DGRP_176 DGRP_177 DGRP_181 DGRP_189 DGRP_195 DGRP_208 DGRP_217 DGRP_223 DGRP_227 DGRP_228 DGRP_229 DGRP_233 DGRP_235 DGRP_237 DGRP_239 DGRP_256 DGRP_280 DGRP_287 DGRP_301 DGRP_303 DGRP_304 DGRP_306 DGRP_307 DGRP_309 DGRP_310 DGRP_313 DGRP_315 DGRP_317 DGRP_318 DGRP_319 DGRP_320 DGRP_321 DGRP_324 DGRP_325 DGRP_332 DGRP_335 DGRP_336 DGRP_338 DGRP_340 DGRP_348 DGRP_350 DGRP_352 DGRP_354 DGRP_355 DGRP_356 DGRP_357 DGRP_358 DGRP_359 DGRP_360 DGRP_361 DGRP_362 DGRP_365 DGRP_367 DGRP_370 DGRP_371 DGRP_373 DGRP_374 DGRP_375 DGRP_377 DGRP_379 DGRP_380 DGRP_381 DGRP_382 DGRP_383 DGRP_385 DGRP_386 DGRP_390 DGRP_391 DGRP_392 DGRP_397 DGRP_399 DGRP_405 DGRP_406 DGRP_409 DGRP_426 DGRP_427 DGRP_437 DGRP_439 DGRP_440 DGRP_441 DGRP_443 DGRP_461 DGRP_486 DGRP_491 DGRP_492 DGRP_502 DGRP_505 DGRP_508 DGRP_509 DGRP_513 DGRP_517 DGRP_528 DGRP_530 DGRP_531 DGRP_535 DGRP_551 DGRP_555 DGRP_559 DGRP_563 DGRP_584 DGRP_589 DGRP_595 DGRP_596 DGRP_639 DGRP_642 DGRP_646 DGRP_703 DGRP_705 DGRP_707 DGRP_712 DGRP_714 DGRP_716 DGRP_721 DGRP_727 DGRP_730 DGRP_732 DGRP_737 DGRP_738 DGRP_748 DGRP_757 DGRP_761 DGRP_765 DGRP_774 DGRP_776 DGRP_783 DGRP_786 DGRP_787 DGRP_790 DGRP_796 DGRP_799 DGRP_801 DGRP_802 DGRP_804 DGRP_805 DGRP_808 DGRP_810 DGRP_812 DGRP_818 DGRP_819 DGRP_820 DGRP_821 DGRP_822 DGRP_832 DGRP_837 DGRP_843 DGRP_849 DGRP_850 DGRP_852 DGRP_853 DGRP_855 DGRP_857 DGRP_859 DGRP_861 DGRP_879 DGRP_882 DGRP_884 DGRP_887 DGRP_890 DGRP_892 DGRP_894 DGRP_897 DGRP_900 DGRP_907 DGRP_908 DGRP_911 DGRP_913

Datasets

Dataset Phenotypes DGRP lines
Summary dataset 1 phenotypes
mn_AggressionScore
200 DGRP lines
DGRP_049
DGRP_158
DGRP_223
DGRP_233
DGRP_237
DGRP_325
DGRP_367
DGRP_530
DGRP_642
DGRP_727
DGRP_887
DGRP_894
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