Evidence map›Paper›PMID 26198076›Full record

ArticleHeredity2015

The genetic architecture of sexually selected traits in two natural populations of Drosophila montana.

P Veltsos, E Gregson, B Morrissey, J Slate, A Hoikkala, R K Butlin, M G Ritchie

Abstract read
In one paragraph

Article in Heredity, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

P VeltsosCentre for Biological Diversity, University of St Andrews, St Andrews, UK.
E GregsonAnimal & Plant Sciences, University of Sheffield, Alfred Denny Building, Sheffield, UK.
B MorrisseyAnimal & Plant Sciences, University of Sheffield, Alfred Denny Building, Sheffield, UK.
J SlateAnimal & Plant Sciences, University of Sheffield, Alfred Denny Building, Sheffield, UK.
A HoikkalaDepartment of Biological and Environmental Science, University of Jyväskylä, Jyväskylä, Finland.
R K ButlinAnimal & Plant Sciences, University of Sheffield, Alfred Denny Building, Sheffield, UK.
M G RitchieCentre for Biological Diversity, University of St Andrews, St Andrews, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated the genetic architecture of courtship song and cuticular hydrocarbon traits in two phygenetically distinct populations of Drosophila montana. To study natural variation in these two important traits, we analysed within-population crosses among individuals sampled from the wild. Hence, the genetic variation analysed should represent that available for natural and sexual selection to act upon. In contrast to previous between-population crosses in this species, no major quantitative trait loci (QTLs) were detected, perhaps because the between-population QTLs were due to fixed differences between the populations. Partitioning the trait variation to chromosomes suggested a broadly polygenic genetic architecture of within-population variation, although some chromosomes explained more variation in one population compared with the other. Studies of natural variation provide an important contrast to crosses between species or divergent lines, but our analysis highlights recent concerns that segregating variation within populations for important quantitative ecological traits may largely consist of small effect alleles, difficult to detect with studies of moderate power.

Indexed as

Genetics, PopulationGenetic VariationSexual Behavior, AnimalAnimalsChromosome MappingDrosophilaFemaleGenotypeMalePhenotypePolymorphism, Single NucleotideQuantitative Trait LociTranscriptome

Identifiers

PMID26198076
PMCPMC4806904

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.