Evidence map›Paper›PMID 25549630›Full record

ArticleGenetics2015

Molecular proxies for climate maladaptation in a long-lived tree (Pinus pinaster Aiton, Pinaceae).

Juan-Pablo Jaramillo-Correa, Isabel Rodríguez-Quilón, Delphine Grivet, Camille Lepoittevin, Federico Sebastiani, Myriam Heuertz, Pauline H Garnier-Géré, Ricardo Alía, Christophe Plomion, Giovanni G Vendramin and 1 more

Abstract read
In one paragraph

Article in Genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
–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

37 citing papers in PubMed.

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  18. Genome-wide shifts in climate-related variation underpin responses to selective breeding in a widespread conifer.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

11 authors.

Juan-Pablo Jaramillo-CorreaDepartment of Ecology and Genetics, Forest Research Centre, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria, E-28040 Madrid, Spain Department of Evolutionary Ecology, Institute of Ecology, Universidad Nacional Autónoma de México, AP 70-275 México City, Mexico.
Isabel Rodríguez-QuilónDepartment of Ecology and Genetics, Forest Research Centre, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria, E-28040 Madrid, Spain.
Delphine GrivetDepartment of Ecology and Genetics, Forest Research Centre, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria, E-28040 Madrid, Spain.
Camille LepoittevinInstitut National de la Recherche Agronomique, Unité Mixte de Recherche 1202 (Biodiversité Gènes Ecosystèmes; Biogeco), F-33610 Cestas, France University of Bordeaux, Unité Mixte de Recherche 1202 Biogeco, F-33170 Talence, France.
Federico SebastianiInstitute of Biosciences and Bioresources, National Research Council, I-50019 Sesto Fiorentino, Florence, Italy.
Myriam HeuertzDepartment of Ecology and Genetics, Forest Research Centre, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria, E-28040 Madrid, Spain Institut National de la Recherche Agronomique, Unité Mixte de Recherche 1202 (Biodiversité Gènes Ecosystèmes; Biogeco), F-33610 Cestas, France University of Bordeaux, Unité Mixte de Recherche 1202 Biogeco, F-33170 Talence, France.
Pauline H Garnier-GéréInstitut National de la Recherche Agronomique, Unité Mixte de Recherche 1202 (Biodiversité Gènes Ecosystèmes; Biogeco), F-33610 Cestas, France University of Bordeaux, Unité Mixte de Recherche 1202 Biogeco, F-33170 Talence, France.
Ricardo AlíaDepartment of Ecology and Genetics, Forest Research Centre, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria, E-28040 Madrid, Spain.
Christophe PlomionInstitut National de la Recherche Agronomique, Unité Mixte de Recherche 1202 (Biodiversité Gènes Ecosystèmes; Biogeco), F-33610 Cestas, France University of Bordeaux, Unité Mixte de Recherche 1202 Biogeco, F-33170 Talence, France.
Giovanni G VendraminInstitute of Biosciences and Bioresources, National Research Council, I-50019 Sesto Fiorentino, Florence, Italy.
Santiago C González-MartínezDepartment of Ecology and Genetics, Forest Research Centre, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria, E-28040 Madrid, Spain Department of Ecology and Evolution, University of Lausanne, CH-1015 Lausanne, Switzerland santiago@inia.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding adaptive genetic responses to climate change is a main challenge for preserving biological diversity. Successful predictive models for climate-driven range shifts of species depend on the integration of information on adaptation, including that derived from genomic studies. Long-lived forest trees can experience substantial environmental change across generations, which results in a much more prominent adaptation lag than in annual species. Here, we show that candidate-gene SNPs (single nucleotide polymorphisms) can be used as predictors of maladaptation to climate in maritime pine (Pinus pinaster Aiton), an outcrossing long-lived keystone tree. A set of 18 SNPs potentially associated with climate, 5 of them involving amino acid-changing variants, were retained after performing logistic regression, latent factor mixed models, and Bayesian analyses of SNP-climate correlations. These relationships identified temperature as an important adaptive driver in maritime pine and highlighted that selective forces are operating differentially in geographically discrete gene pools. The frequency of the locally advantageous alleles at these selected loci was strongly correlated with survival in a common garden under extreme (hot and dry) climate conditions, which suggests that candidate-gene SNPs can be used to forecast the likely destiny of natural forest ecosystems under climate change scenarios. Differential levels of forest decline are anticipated for distinct maritime pine gene pools. Geographically defined molecular proxies for climate adaptation will thus critically enhance the predictive power of range-shift models and help establish mitigation measures for long-lived keystone forest trees in the face of impending climate change.

Indexed as

Climate ChangePolymorphism, Single NucleotideAcclimatizationGenome, PlantPinusTemperatureclimate adaptationenvironmental associationsfitness estimatesgenetic lineagessingle nucleotide polymorphisms

Identifiers

PMID25549630
PMCPMC4349072

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.