Evidence map›Paper›PMID 31892950›Full record

ArticleEvolutionary applications2020

Genomic assessment of local adaptation in dwarf birch to inform assisted gene flow.

James S Borrell, Jasmin Zohren, Richard A Nichols, Richard J A Buggs

Abstract read
In one paragraph

Article in Evolutionary applications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

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  7. Population structure limits the use of genomic data for predicting phenotypes and managing genetic resources in forest trees.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  17. Horticulture research · 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.

James S BorrellJodrell Laboratory Royal Botanic Gardens, Kew Surrey UK.ORCID https://orcid.org/0000-0001-9902-7681
Jasmin ZohrenSex Chromosome Biology Lab The Francis Crick Institute London UK.ORCID 0000-0001-7673-2783
Richard A NicholsSchool of Biological and Chemical Sciences Queen Mary University of London London UK.ORCID 0000-0002-4801-9312
Richard J A BuggsJodrell Laboratory Royal Botanic Gardens, Kew Surrey UK.ORCID https://orcid.org/0000-0003-4495-3738

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When populations of a rare species are small, isolated and declining under climate change, some populations may become locally maladapted. Detecting this maladaptation may allow effective rapid conservation interventions, even if based on incomplete knowledge. Population maladaptation may be estimated by finding genome-environment associations (GEA) between allele frequencies and environmental variables across a local species range, and identifying populations whose allele frequencies do not fit with these trends. We can then design assisted gene flow strategies for maladapted populations, to adjust their allele frequencies, entailing lower levels of intervention than with undirected conservation action. Here, we investigate this strategy in Scottish populations of the montane plant dwarf birch (

Indexed as

adaptive potentialassisted gene flowclimate changeconservation geneticsenvironmental association analysisevolutionary conservationlandscape genomicsprovenance matching

Identifiers

PMID31892950
PMCPMC6935589

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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.