Evidence map›Paper›PMID 25553064›Full record

ArticleEvolutionary applications2014

Using genomics to characterize evolutionary potential for conservation of wild populations.

Katherine A Harrisson, Alexandra Pavlova, Marina Telonis-Scott, Paul Sunnucks

Abstract read
In one paragraph

Article in Evolutionary applications, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 papers.

0numbers the graph read from it
0cells of the map it votes in
95citing 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

95 citing papers in PubMed.

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  13. Transgenerational epigenetic inheritance increases trait variation but is not adaptive.Evolution; international journal of organic evolution · 2025
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  14. Article
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  16. Ecology and evolution · 2025
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35 more citing papers are in PubMed but not listed here.

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.

Katherine A HarrissonSchool of Biological Sciences, Monash University Melbourne, Vic., Australia.
Alexandra PavlovaSchool of Biological Sciences, Monash University Melbourne, Vic., Australia.
Marina Telonis-ScottSchool of Biological Sciences, Monash University Melbourne, Vic., Australia.
Paul SunnucksSchool of Biological Sciences, Monash University Melbourne, Vic., Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomics promises exciting advances towards the important conservation goal of maximizing evolutionary potential, notwithstanding associated challenges. Here, we explore some of the complexity of adaptation genetics and discuss the strengths and limitations of genomics as a tool for characterizing evolutionary potential in the context of conservation management. Many traits are polygenic and can be strongly influenced by minor differences in regulatory networks and by epigenetic variation not visible in DNA sequence. Much of this critical complexity is difficult to detect using methods commonly used to identify adaptive variation, and this needs appropriate consideration when planning genomic screens, and when basing management decisions on genomic data. When the genomic basis of adaptation and future threats are well understood, it may be appropriate to focus management on particular adaptive traits. For more typical conservations scenarios, we argue that screening genome-wide variation should be a sensible approach that may provide a generalized measure of evolutionary potential that accounts for the contributions of small-effect loci and cryptic variation and is robust to uncertainty about future change and required adaptive response(s). The best conservation outcomes should be achieved when genomic estimates of evolutionary potential are used within an adaptive management framework.

Indexed as

climate changegenetic variationgenome-wide diversitylocal adaptationnatural selectionpolygenic adaptationpopulation persistencewildlife management

Identifiers

PMID25553064
PMCPMC4231592

What OpenQuestion holds

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LicenceCC BY
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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.