Evidence map›Paper›PMID 37221230›Full record

ArticleHeredity2023

Reduced within-population quantitative genetic variation is associated with climate harshness in maritime pine.

Juliette Archambeau, Marta Benito Garzón, Marina de Miguel, Benjamin Brachi, Frédéric Barraquand, Santiago C González-Martínez

Abstract read
In one paragraph

Article in Heredity, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

6 authors.

Juliette ArchambeauINRAE, Univ. Bordeaux, BIOGECO, F-33610, Cestas, France. juli.archambeau@orange.fr.ORCID 0000-0003-0155-9538
Marta Benito GarzónINRAE, Univ. Bordeaux, BIOGECO, F-33610, Cestas, France.ORCID 0000-0002-3436-123X
Marina de MiguelINRAE, Univ. Bordeaux, BIOGECO, F-33610, Cestas, France.ORCID 0000-0001-6398-2660
Benjamin BrachiINRAE, Univ. Bordeaux, BIOGECO, F-33610, Cestas, France.ORCID 0000-0001-5988-7150
Frédéric BarraquandCNRS, Institute of Mathematics of Bordeaux, F-33400, Talence, France.ORCID 0000-0002-4759-0269
Santiago C González-MartínezINRAE, Univ. Bordeaux, BIOGECO, F-33610, Cestas, France.ORCID 0000-0002-4534-3766

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

How evolutionary forces interact to maintain genetic variation within populations has been a matter of extensive theoretical debates. While mutation and exogenous gene flow increase genetic variation, stabilizing selection and genetic drift are expected to deplete it. To date, levels of genetic variation observed in natural populations are hard to predict without accounting for other processes, such as balancing selection in heterogeneous environments. We aimed to empirically test three hypotheses: (i) admixed populations have higher quantitative genetic variation due to introgression from other gene pools, (ii) quantitative genetic variation is lower in populations from harsher environments (i.e., experiencing stronger selection), and (iii) quantitative genetic variation is higher in populations from heterogeneous environments. Using growth, phenological and functional trait data from three clonal common gardens and 33 populations (522 clones) of maritime pine (Pinus pinaster Aiton), we estimated the association between the population-specific total genetic variances (i.e., among-clone variances) for these traits and ten population-specific indices related to admixture levels (estimated based on 5165 SNPs), environmental temporal and spatial heterogeneity and climate harshness. Populations experiencing colder winters showed consistently lower genetic variation for early height growth (a fitness-related trait in forest trees) in the three common gardens. Within-population quantitative genetic variation was not associated with environmental heterogeneity or population admixture for any trait. Our results provide empirical support for the potential role of natural selection in reducing genetic variation for early height growth within populations, which indirectly gives insight into the adaptive potential of populations to changing environments.

Indexed as

PinusClimateForestsPhenotypeSelection, GeneticTrees

Identifiers

PMID37221230
PMCPMC10313832

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.