Evidence map›Paper›PMID 26661500›Full record

ArticleMolecular ecology2015

Replicated analysis of the genetic architecture of quantitative traits in two wild great tit populations.

Anna W Santure, Jocelyn Poissant, Isabelle De Cauwer, Kees van Oers, Matthew R Robinson, John L Quinn, Martien A M Groenen, Marcel E Visser, Ben C Sheldon, Jon Slate

Abstract read
In one paragraph

Article in Molecular ecology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
–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

35 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. Taking quantitative genomics into the wild.Proceedings. Biological sciences · 2022
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  15. Heterogeneous selection on exploration behavior within and among West European populations of a passerine bird.Proceedings of the National Academy of Sciences of the United States of America · 2021
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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

10 authors.

Anna W SantureSchool of Biological Sciences, University of Auckland, Auckland, 1010, New Zealand.
Jocelyn PoissantDepartment of Animal and Plant Sciences, University of Sheffield, Sheffield, S10 2TN, UK.
Isabelle De CauwerDepartment of Animal and Plant Sciences, University of Sheffield, Sheffield, S10 2TN, UK.
Kees van OersDepartment of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW), 6708 PB, Wageningen, The Netherlands.
Matthew R RobinsonDepartment of Animal and Plant Sciences, University of Sheffield, Sheffield, S10 2TN, UK.
John L QuinnSchool of Biological, Earth and Environmental Sciences, University College Cork, Distillery Fields, North Mall, Cork, Ireland.
Martien A M GroenenAnimal Breeding and Genomics Centre, Wageningen University, De Elst 1, Wageningen, The Netherlands.
Marcel E VisserDepartment of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW), 6708 PB, Wageningen, The Netherlands.
Ben C SheldonDepartment of Zoology, Edward Grey Institute, University of Oxford, Oxford, OX1 3PS, UK.
Jon SlateDepartment of Animal and Plant Sciences, University of Sheffield, Sheffield, S10 2TN, UK.

Funding

European Research Council 202487
6 · The paper itself

Abstract

Currently, there is much debate on the genetic architecture of quantitative traits in wild populations. Is trait variation influenced by many genes of small effect or by a few genes of major effect? Where is additive genetic variation located in the genome? Do the same loci cause similar phenotypic variation in different populations? Great tits (Parus major) have been studied extensively in long-term studies across Europe and consequently are considered an ecological 'model organism'. Recently, genomic resources have been developed for the great tit, including a custom SNP chip and genetic linkage map. In this study, we used a suite of approaches to investigate the genetic architecture of eight quantitative traits in two long-term study populations of great tits--one in the Netherlands and the other in the United Kingdom. Overall, we found little evidence for the presence of genes of large effects in either population. Instead, traits appeared to be influenced by many genes of small effect, with conservative estimates of the number of contributing loci ranging from 31 to 310. Despite concordance between population-specific heritabilities, we found no evidence for the presence of loci having similar effects in both populations. While population-specific genetic architectures are possible, an undetected shared architecture cannot be rejected because of limited power to map loci of small and moderate effects. This study is one of few examples of genetic architecture analysis in replicated wild populations and highlights some of the challenges and limitations researchers will face when attempting similar molecular quantitative genetic studies in free-living populations.

Indexed as

Genetics, PopulationQuantitative Trait LociAnimalsChromosome MappingGenetic Association StudiesGenotypeNetherlandsPasseriformesPhenotypePolymorphism, Single NucleotideUnited Kingdomchromosome partitioninggenome-wide associationgenomicsGWASQTL mappingquantitative genetics

Identifiers

PMID26661500
PMCPMC4738425

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.