Evidence map›Paper›PMID 35126645›Full record

ReviewEvolutionary applications2022

Applying genomics in assisted migration under climate change: Framework, empirical applications, and case studies.

Zhongqi Chen, Lukas Grossfurthner, Janet L Loxterman, Jonathan Masingale, Bryce A Richardson, Travis Seaborn, Brandy Smith, Lisette P Waits, Shawn R Narum

Open access · goldAbstract readReview
In one paragraph

Review in Evolutionary applications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
8.3field-weighted citation impact, top 2% 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

21 citing papers in PubMed, 61 citations in OpenAlex.

  1. Article
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  5. 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
    Article
  6. Review
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  11. Local adaptation ofEcology and evolution · 2024
    Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. 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

9 authors at 4 institutions in 1 country.

Zhongqi ChenAquaculture Research Institute University of Idaho Hagerman Idaho USA.ORCID https://orcid.org/0000-0003-0575-7013
Lukas GrossfurthnerBioinformatics and Computational Biology Graduate Program University of Idaho Hagerman Idaho USA.
Janet L LoxtermanDepartment of Biological Sciences Idaho State University Pocatello Idaho USA.
Jonathan MasingaleAquaculture Research Institute University of Idaho Hagerman Idaho USA.
Bryce A RichardsonRocky Mountain Research Station USDA Forest Service Moscow Idaho USA.ORCID https://orcid.org/0000-0001-9521-4367
Travis SeabornDepartment of Fish and Wildlife Resources University of Idaho Moscow Idaho USA.ORCID https://orcid.org/0000-0003-1036-7028
Brandy SmithDepartment of Biological Sciences Idaho State University Pocatello Idaho USA.
Lisette P WaitsDepartment of Fish and Wildlife Resources University of Idaho Moscow Idaho USA.ORCID https://orcid.org/0000-0002-1323-0812
Shawn R NarumColumbia River Inter-Tribal Fish Commission Hagerman Idaho USA.ORCID https://orcid.org/0000-0002-7470-7485
University of Idaho · USIdaho State University · USColumbia River Inter-Tribal Fish Commission · USRocky Mountain Research Station · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rate of global climate change is projected to outpace the ability of many natural populations and species to adapt. Assisted migration (AM), which is defined as the managed movement of climate-adapted individuals within or outside the species ranges, is a conservation option to improve species' adaptive capacity and facilitate persistence. Although conservation biologists have long been using genetic tools to increase or maintain diversity of natural populations, genomic techniques could add extra benefit in AM that include selectively neutral and adaptive regions of the genome. In this review, we first propose a framework along with detailed procedures to aid collaboration among scientists, agencies, and local and regional managers during the decision-making process of genomics-guided AM. We then summarize the genomic approaches for applying AM, followed by a literature search of existing incorporation of genomics in AM across taxa. Our literature search initially identified 729 publications, but after filtering returned only 50 empirical studies that were either directly applied or considered genomics in AM related to climate change across taxa of plants, terrestrial animals, and aquatic animals; 42 studies were in plants. This demonstrated limited application of genomic methods in AM in organisms other than plants, so we provide further case studies as two examples to demonstrate the negative impact of climate change on non-model species and how genomics could be applied in AM. With the rapidly developing sequencing technology and accumulating genomic data, we expect to see more successful applications of genomics in AM, and more broadly, in the conservation of biodiversity.

Indexed as

adaptationassisted gene flowassisted migrationclimate changeconservationgenomics

Identifiers

PMID35126645
PMCPMC8792483
OpenAlexW4200456366

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.