Evidence map›Paper›PMID 34292938›Full record

ArticlePLoS genetics2021

Powerful detection of polygenic selection and evidence of environmental adaptation in US beef cattle.

Troy N Rowan, Harly J Durbin, Christopher M Seabury, Robert D Schnabel, Jared E Decker

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
12.8field-weighted citation impact, top 1% 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

31 citing papers in PubMed, 66 citations in OpenAlex.

  1. Population Differentiation and Polygenic Selection in the Finnish Ayrshire Cows Selected on Genomic Information.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026
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  14. Genotype-by-environment interactions and local adaptation shape selection in the US National Chip Processing Trial.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
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  15. Uncovering the architecture of selection in twoEvolutionary applications · 2024
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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

5 authors at 3 institutions in 1 country.

Troy N RowanDivision of Animal Sciences, University of Missouri, Columbia, Missouri, United States of America.ORCID 0000-0001-5347-7695
Harly J DurbinDivision of Animal Sciences, University of Missouri, Columbia, Missouri, United States of America.ORCID 0000-0001-6400-368X
Christopher M SeaburyDepartment of Veterinary Pathobiology, Texas A&M University, College Station, Texas, United States of America.
Robert D SchnabelDivision of Animal Sciences, University of Missouri, Columbia, Missouri, United States of America.ORCID 0000-0001-5018-7641
Jared E DeckerDivision of Animal Sciences, University of Missouri, Columbia, Missouri, United States of America.ORCID 0000-0001-5685-7343
University of Missouri · USTexas A&M University · USUniversity of Tennessee at Knoxville · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Selection on complex traits can rapidly drive evolution, especially in stressful environments. This polygenic selection does not leave intense sweep signatures on the genome, rather many loci experience small allele frequency shifts, resulting in large cumulative phenotypic changes. Directional selection and local adaptation are changing populations; but, identifying loci underlying polygenic or environmental selection has been difficult. We use genomic data on tens of thousands of cattle from three populations, distributed over time and landscapes, in linear mixed models with novel dependent variables to map signatures of selection on complex traits and local adaptation. We identify 207 genomic loci associated with an animal's birth date, representing ongoing selection for monogenic and polygenic traits. Additionally, hundreds of additional loci are associated with continuous and discrete environments, providing evidence for historical local adaptation. These candidate loci highlight the nervous system's possible role in local adaptation. While advanced technologies have increased the rate of directional selection in cattle, it has likely been at the expense of historically generated local adaptation, which is especially problematic in changing climates. When applied to large, diverse cattle datasets, these selection mapping methods provide an insight into how selection on complex traits continually shapes the genome. Further, understanding the genomic loci implicated in adaptation may help us breed more adapted and efficient cattle, and begin to understand the basis for mammalian adaptation, especially in changing climates. These selection mapping approaches help clarify selective forces and loci in evolutionary, model, and agricultural contexts.

Indexed as

AcclimatizationAdaptation, BiologicalAdaptation, PhysiologicalAllelesAnimalsBiological EvolutionCattleEnvironmentGene FrequencyGenome-Wide Association StudyGenomicsGenotypeModels, GeneticMultifactorial InheritancePhenotypePolymorphism, Single Nucleotide

Identifiers

PMID34292938
PMCPMC8297814
OpenAlexW3186998728

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.