Evidence map›Paper›PMID 26631567›Full record

ArticleProceedings. Biological sciences2015

Local effects drive heterozygosity-fitness correlations in an outcrossing long-lived tree.

Isabel Rodríguez-Quilón, Luis Santos-del-Blanco, Delphine Grivet, Juan Pablo Jaramillo-Correa, Juan Majada, Giovanni G Vendramin, Ricardo Alía, Santiago C González-Martínez

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings. Biological sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.2field-weighted citation impact, top 17% 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

11 citing papers in PubMed, 39 citations in OpenAlex.

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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

8 authors at 7 institutions in 5 countries.

Isabel Rodríguez-QuilónDepartment of Forest Ecology and Genetics, Forest Research Centre, INIA, Carretera A Coruña km 7.5, Madrid 28040, Spain.
Luis Santos-del-BlancoDepartment of Ecology and Evolution, University of Lausanne, Biophore Building, Lausanne 1015, Switzerland.
Delphine GrivetDepartment of Forest Ecology and Genetics, Forest Research Centre, INIA, Carretera A Coruña km 7.5, Madrid 28040, Spain.
Juan Pablo Jaramillo-CorreaDepartment of Forest Ecology and Genetics, Forest Research Centre, INIA, Carretera A Coruña km 7.5, Madrid 28040, Spain Department of Evolutionary Ecology, Institute of Ecology, Universidad Nacional Autónoma de México, AP 70-275, México D.F., Mexico.
Juan MajadaCETEMAS-SERIDA, Sección Forestal, Finca Experimental La Mata, Grado 33820, Spain.
Giovanni G VendraminInstitute of Biosciences and Bioresources, National Research Council, Sesto Fiorentino (Florence) 50019, Italy.
Ricardo AlíaDepartment of Forest Ecology and Genetics, Forest Research Centre, INIA, Carretera A Coruña km 7.5, Madrid 28040, Spain Sustainable Forest Management Research Institute, University of Valladolid-INIA, Palencia 34071, Spain.
Santiago C González-MartínezDepartment of Forest Ecology and Genetics, Forest Research Centre, INIA, Carretera A Coruña km 7.5, Madrid 28040, Spain INRA, UMR 1202 Biodiversité Gènes Ecosystèmes (Biogeco), Cestas 33610, France Université de Bordeaux, UMR 1202 Biodiversité Gènes Ecosystèmes (Biogeco), Talence 33170, France santiago.gonzalez-martinez@pierroton.inra.fr.
Forest Science and Technology Centre of Catalonia · ESCentro Tecnológico del Mueble y la Madera de la Región de Murcia · ESInstitute of Biosciences and Bioresources · ITUMR BIOdiversity, GEnes & Communities · FRUniversidad de Valladolid · ESUniversidad Nacional Autónoma de México · MXUniversity of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heterozygosity-fitness correlations (HFCs) have been used to understand the complex interactions between inbreeding, genetic diversity and evolution. Although frequently reported for decades, evidence for HFCs was often based on underpowered studies or inappropriate methods, and hence their underlying mechanisms are still under debate. Here, we used 6100 genome-wide single nucleotide polymorphisms (SNPs) to test for general and local effect HFCs in maritime pine (Pinus pinaster Ait.), an iconic Mediterranean forest tree. Survival was used as a fitness proxy, and HFCs were assessed at a four-site common garden under contrasting environmental conditions (total of 16 288 trees). We found no significant correlations between genome-wide heterozygosity and fitness at any location, despite variation in inbreeding explaining a substantial proportion of the total variance for survival. However, four SNPs (including two non-synonymous mutations) were involved in significant associations with survival, in particular in the common gardens with higher environmental stress, as shown by a novel heterozygosity-fitness association test at the species-wide level. Fitness effects of SNPs involved in significant HFCs were stable across maritime pine gene pools naturally growing in distinct environments. These results led us to dismiss the general effect hypothesis and suggested a significant role of heterozygosity in specific candidate genes for increasing fitness in maritime pine. Our study highlights the importance of considering the species evolutionary and demographic history and different spatial scales and testing environments when assessing and interpreting HFCs.

Indexed as

Genetic FitnessGenome, PlantHeterozygoteBiological EvolutionGenetic VariationGenome-Wide Association StudyPinusPolymorphism, Single Nucleotideadaptationgenetic variationmaritime pinesingle nucleotide polymorphismsurvival

Identifiers

PMID26631567
PMCPMC4685783
OpenAlexW2229707189

What OpenQuestion holds

Textmetadata
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.