Evidence map›Paper›PMID 31905256›Full record

ArticleMolecular ecology2020

Heritability of interpack aggression in a wild pedigreed population of North American grey wolves.

Bridgett M vonHoldt, Alexandra L DeCandia, Elizabeth Heppenheimer, Ilana Janowitz-Koch, Ruoyao Shi, Hua Zhou, Christopher A German, Kristin E Brzeski, Kira A Cassidy, Daniel R Stahler and 1 more

Open access · greenAbstract read
In one paragraph

Article in Molecular ecology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.7field-weighted citation impact, top 7% of its field
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

11 citing papers in PubMed, 27 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 2 countries.

Bridgett M vonHoldtEcology and Evolutionary Biology, Princeton University, Princeton, NJ, USA.ORCID 0000-0001-6908-1687
Alexandra L DeCandiaEcology and Evolutionary Biology, Princeton University, Princeton, NJ, USA.ORCID 0000-0001-8485-5556
Elizabeth HeppenheimerEcology and Evolutionary Biology, Princeton University, Princeton, NJ, USA.ORCID 0000-0002-9164-3436
Ilana Janowitz-KochEcology and Evolutionary Biology, Princeton University, Princeton, NJ, USA.ORCID 0000-0003-3594-3108
Ruoyao ShiBioKnow Health Informatics Lab, College of Life Sciences, Jilin University, Changchun, China.ORCID 0000-0001-8957-1712
Hua ZhouDepartment of Biostatistics, UCLA Fielding School of Public Health, University of California, Los Angeles, CA, USA.
Christopher A GermanDepartment of Biostatistics, UCLA Fielding School of Public Health, University of California, Los Angeles, CA, USA.
Kristin E BrzeskiCollege of Forest Resources and Environmental Science, Michigan Technological University, Houghton, MI, USA.ORCID 0000-0002-5104-3719
Kira A CassidyYellowstone Center for Resources, National Park Service, Yellowstone National Park, WY, USA.ORCID 0000-0003-4857-1059
Daniel R StahlerYellowstone Center for Resources, National Park Service, Yellowstone National Park, WY, USA.ORCID 0000-0002-8740-6075
Janet S SinsheimerDepartment of Biostatistics, UCLA Fielding School of Public Health, University of California, Los Angeles, CA, USA.ORCID 0000-0001-9540-5956
Princeton University · USUniversity of California, Los Angeles · USNational Park Service · USJilin University · CNMichigan Technological University · US

Funding

STATISTICAL METHODS FOR GENE MAPPINGR01GM053275 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LANGE, KENNETH L · 1995 to 2019
$9.3M
Integrative approaches for mapping the genetic risk of complex traitsR01HG009120 · NHGRI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI PASANIUC, BOGDAN · 2017 to 2021
$2.3M
NHGRI NIH HHS R01 HG009120NIGMS NIH HHS R01 GM053275
6 · The paper itself

Abstract

Aggression is a quantitative trait deeply entwined with individual fitness. Mapping the genomic architecture underlying such traits is complicated by complex inheritance patterns, social structure, pedigree information and gene pleiotropy. Here, we leveraged the pedigree of a reintroduced population of grey wolves (Canis lupus) in Yellowstone National Park, Wyoming, USA, to examine the heritability of and the genetic variation associated with aggression. Since their reintroduction, many ecological and behavioural aspects have been documented, providing unmatched records of aggressive behaviour across multiple generations of a wild population of wolves. Using a linear mixed model, a robust genetic relationship matrix, 12,288 single nucleotide polymorphisms (SNPs) and 111 wolves, we estimated the SNP-based heritability of aggression to be 37% and an additional 14% of the phenotypic variation explained by shared environmental exposures. We identified 598 SNP genotypes from 425 grey wolves to resolve a consensus pedigree that was included in a heritability analysis of 141 individuals with SNP genotype, metadata and aggression data. The pedigree-based heritability estimate for aggression is 14%, and an additional 16% of the phenotypic variation was explained by shared environmental exposures. We find strong effects of breeding status and relative pack size on aggression. Through an integrative approach, these results provide a framework for understanding the genetic architecture of a complex trait that influences individual fitness, with linkages to reproduction, in a social carnivore. Along with a few other studies, we show here the incredible utility of a pedigreed natural population for dissecting a complex, fitness-related behavioural trait.

Indexed as

AggressionWolvesAnimalsBehavior, AnimalPedigreePolymorphism, Single NucleotideReproductionUnited StatesWyomingaggressionbehaviourcanidheritabilityRAD-seq

Identifiers

PMID31905256
PMCPMC7299816
OpenAlexW2999822478

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.