Evidence map›Paper›PMID 36170147›Full record

ArticleMolecular ecology2022

Monitoring genetic diversity with new indicators applied to an alpine freshwater top predator.

Anastasia Andersson, Sten Karlsson, Nils Ryman, Linda Laikre

Abstract read
In one paragraph

Article in Molecular ecology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Evolutionary applications · 2026
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. 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.

Anastasia AnderssonDepartment of Zoology, Division of Population Genetics, Stockholm University, Stockholm, Sweden.ORCID 0000-0002-5698-4948
Sten KarlssonNorwegian Institute for Nature Research (NINA), Trondheim, Norway.
Nils RymanDepartment of Zoology, Division of Population Genetics, Stockholm University, Stockholm, Sweden.ORCID 0000-0003-3342-8479
Linda LaikreDepartment of Zoology, Division of Population Genetics, Stockholm University, Stockholm, Sweden.ORCID 0000-0001-9286-3361

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic diversity is the basis for population adaptation and long-term survival, yet rarely considered in biodiversity monitoring. One key issue is the need for useful and straightforward indicators of genetic diversity. We monitored genetic diversity over 40 years (1970-2010) in metapopulations of brown trout (Salmo trutta) inhabiting 27 small mountain lakes representing 10 lake systems in central Sweden using >1200 fish per time point. We tested six newly proposed indicators; three were designed for broad, international use in the UN Convention on Biological Diversity (CBD) and are currently applied in several countries. The other three were recently elaborated for national use by a Swedish science-management effort and applied for the first time here. The Swedish indicators use molecular genetic data to monitor genetic diversity within and between populations (indicators ΔH and ΔF

Indexed as

Genetics, PopulationGenetic VariationAnimalsBiodiversityLakesTroutcryptic sympatryhidden biodiversityintraspecific biodiversityprotected areasympatric populations

Identifiers

PMID36170147
PMCPMC10091952

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.