Evidence map›Paper›PMID 32210431›Full record

ArticlePLoS genetics2020

Pleiotropy facilitates local adaptation to distant optima in common ragweed (Ambrosia artemisiifolia).

Tuomas Hämälä, Amanda J Gorton, David A Moeller, Peter Tiffin

Abstract read
In one paragraph

Article in PLoS genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

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

  1. Interaction between mutation type and gene pleiotropy drives parallel evolution in the laboratory.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Pooled it
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  14. Repeated global adaptation across plant species.Proceedings of the National Academy of Sciences of the United States of America · 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

4 authors.

Tuomas HämäläDepartment of Plant and Microbial Biology, University of Minnesota, St. Paul, Minnesota, United States of America.ORCID 0000-0001-8306-3397
Amanda J GortonDepartment of Ecology, Evolution and Behavior, University of Minnesota, St. Paul, Minnesota, United States of America.ORCID 0000-0002-4101-2257
David A MoellerDepartment of Plant and Microbial Biology, University of Minnesota, St. Paul, Minnesota, United States of America.ORCID 0000-0002-6202-9912
Peter TiffinDepartment of Plant and Microbial Biology, University of Minnesota, St. Paul, Minnesota, United States of America.ORCID 0000-0003-1975-610X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pleiotropy, the control of multiple phenotypes by a single locus, is expected to slow the rate of adaptation by increasing the chance that beneficial alleles also have deleterious effects. However, a prediction arising from classical theory of quantitative trait evolution states that pleiotropic alleles may have a selective advantage when phenotypes are distant from their selective optima. We examine the role of pleiotropy in regulating adaptive differentiation among populations of common ragweed (Ambrosia artemisiifolia); a species that has recently expanded its North American range due to human-mediated habitat change. We employ a phenotype-free approach by using connectivity in gene networks as a proxy for pleiotropy. First, we identify loci bearing footprints of local adaptation, and then use genotype-expression mapping and co-expression networks to infer the connectivity of the genes. Our results indicate that the putatively adaptive loci are highly pleiotropic, as they are more likely than expected to affect the expression of other genes, and they reside in central positions within the gene networks. We propose that the conditionally advantageous alleles at these loci avoid the cost of pleiotropy by having large phenotypic effects that are beneficial when populations are far from their selective optima. We further use evolutionary simulations to show that these patterns are in agreement with a model where populations face novel selective pressures, as expected during a range expansion. Overall, our results suggest that highly connected genes may be targets of positive selection during environmental change, even though they likely experience strong purifying selection in stable selective environments.

Indexed as

AcclimatizationAdaptation, PhysiologicalAllelesAntigens, PlantBiological EvolutionEcosystemGene ExpressionGene Expression Regulation, PlantGene Regulatory NetworksGenetic PleiotropyGenetic VariationMicrosatellite RepeatsPlant ProteinsAmb a I protein, Ambrosia artemisiifoliaAntigens, PlantPlant Proteins

Identifiers

PMID32210431
PMCPMC7135370

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.