Evidence map›Paper›PMID 30290843›Full record

ArticleGenome biology2018

Modularity of genes involved in local adaptation to climate despite physical linkage.

Katie E Lotterhos, Sam Yeaman, Jon Degner, Sally Aitken, Kathryn A Hodgins

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

27 citing papers in PubMed, 58 citations in OpenAlex.

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  10. The paradox of adaptive trait clines with nonclinal patterns in the underlying genes.Proceedings of the National Academy of Sciences of the United States of America · 2023
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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 3 countries.

Katie E LotterhosDepartment of Marine and Environmental Sciences, Northeastern Marine Science Center, 430 Nahant Rd, Nahant, MA, 01908, USA. k.lotterhos@northeastern.edu.ORCID 0000-0001-7529-2771
Sam YeamanDepartment of Biological Sciences, University of Calgary, Calgary, AB, T2N1N4, Canada.
Jon DegnerDepartment of Forest and Conservation Sciences, Faculty of Forestry, Vancouver, BC, V6T 1Z4, Canada.
Sally AitkenDepartment of Forest and Conservation Sciences, Faculty of Forestry, Vancouver, BC, V6T 1Z4, Canada.
Kathryn A HodginsSchool of Biological Sciences, Monash University, Wellington Rd, Clayton, Melbourne, VIC, 3800, Australia.
Monash University · AUNOAA National Marine Fisheries Service Northeast Fisheries Science Center · USUniversity of Calgary · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLinkage among genes experiencing different selection pressures can make natural selection less efficient. Theory predicts that when local adaptation is driven by complex and non-covarying stresses, increased linkage is favored for alleles with similar pleiotropic effects, with increased recombination favored among alleles with contrasting pleiotropic effects. Here, we introduce a framework to test these predictions with a co-association network analysis, which clusters loci based on differing associations. We use this framework to study the genetic architecture of local adaptation to climate in lodgepole pine, Pinus contorta, based on associations with environments.

resultsWe identify many clusters of candidate genes and SNPs associated with distinct environments, including aspects of aridity and freezing, and discover low recombination rates among some candidate genes in different clusters. Only a few genes contain SNPs with effects on more than one distinct aspect of climate. There is limited correspondence between co-association networks and gene regulatory networks. We further show how associations with environmental principal components can lead to misinterpretation. Finally, simulations illustrate both benefits and caveats of co-association networks.

conclusionsOur results support the prediction that different selection pressures favor the evolution of distinct groups of genes, each associating with a different aspect of climate. But our results went against the prediction that loci experiencing different sources of selection would have high recombination among them. These results give new insight into evolutionary debates about the extent of modularity, pleiotropy, and linkage in the evolution of genetic architectures.

Indexed as

ClimateGenes, PlantGenetic LinkageAdaptation, PhysiologicalAllelesComputer SimulationDatabases, GeneticGene Expression RegulationGene Regulatory NetworksGenetic Association StudiesGenetic PleiotropyLinkage DisequilibriumMolecular Sequence AnnotationMultivariate AnalysisPinusPolymorphism, Single NucleotideAuxin biosynthesisConifersFlowering timeGenome-environment associationsGenome-wide association studies (GWAS)Ion antiportersLandscape genomicsLinkage disequilibrium

Identifiers

PMID30290843
PMCPMC6173883
OpenAlexW2953112128

What OpenQuestion holds

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LicenceCC BY
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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.