Evidence map›Paper›PMID 26834830›Full record

ArticleEvolutionary applications2016

Assessing early fitness consequences of exotic gene flow in the wild: a field study with Iberian pine relicts.

Gregor M Unger, Myriam Heuertz, Giovanni G Vendramin, Juan J Robledo-Arnuncio

Abstract read
In one paragraph

Article in Evolutionary applications, 2016. 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
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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.

Gregor M UngerDepartment of Forest Ecology & Genetics INIA-CIFOR Madrid Spain.
Myriam HeuertzDepartment of Forest Ecology & Genetics INIA-CIFOR Madrid Spain; INRA UMR 1202 BIOGECO Cestas France; University of Bordeaux UMR 1202 BIOGECO Talence France.
Giovanni G VendraminInstitute of Biosciences and Bioresources National Research Council Sesto Fiorentino (FI) Italy.
Juan J Robledo-ArnuncioDepartment of Forest Ecology & Genetics INIA-CIFOR Madrid Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene flow from plantations of nonlocal (genetically exotic) tree provenances into natural stands of the same species is probably a widespread phenomenon, but its effects remain largely unexamined. We investigated early fitness consequences of intraspecific exotic gene flow in the wild by assessing differences in survival among native, nonlocal, and F1 intraspecific hybrid seedlings naturally established within two native pine relicts (one of Pinus pinaster and the other of P. sylvestris) surrounded by nonlocal plantations. We obtained broad-scale temporally sequential genotypic samples of a cohort of recruits in each pine relict, from seeds before dispersal to established seedlings months after emergence, tracking temporal changes in the estimated proportion of each parental cross-type. Results show significant proportions of exotic male gametes before seed dispersal in the two pine relicts. Subsequently to seedling establishment, the frequency of exotic male gametes became nonsignificant in P. pinaster, and dropped by half in P. sylvestris. Exotic zygotic gene flow was significantly different from zero among early recruits for P. sylvestris, decreasing throughout seedling establishment. Seedling mortality resulted in small late sample sizes, and temporal differences in exotic gene flow estimates were not significant, so we could not reject the null hypothesis of invariant early viability across parental cross types in the wild.

Indexed as

early fitnessgene flowintrogressionPinus pinasterPinus sylvestrisplantationspollen dispersalseed dispersal

Identifiers

PMID26834830
PMCPMC4721076

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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.