Evidence map›Paper›PMID 28698621›Full record

ArticleScientific reports2017

Investigating gene flow between the blind cavefish Garra barreimiae and its conspecific surface populations.

Sandra Kirchner, Helmut Sattmann, Elisabeth Haring, Lukas Plan, Reginald Victor, Luise Kruckenhauser

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Sandra KirchnerUniversity of Vienna, Department of Integrative Zoology, Althanstraße 14, 1090, Vienna, Austria. sandra.kirchner@nhm-wien.ac.at.
Helmut SattmannNatural History Museum Vienna, Third Zoological Department, Burgring 7, 1010, Vienna, Austria.
Elisabeth HaringUniversity of Vienna, Department of Integrative Zoology, Althanstraße 14, 1090, Vienna, Austria.
Lukas PlanNatural History Museum, Department for Geology & Paleontology, Burgring 7, 1010, Vienna, Austria.
Reginald VictorSultan Qaboos University, Department of Biology, Al Khoudh, Muscat, 123, Oman.
Luise KruckenhauserNatural History Museum Vienna, Central Research Laboratories, Burgring 7, 1010, Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cave-dwelling taxa often share the same phenotypic modifications like absence of eyes and pigmentation. These "troglomorphic characters" are expressed in the populations of Garra barreimiae from the Al Hoota Cave and nearby Hoti Pit in Northern Oman. Surface morphotypes of this cyprinid species are common throughout the distribution area. Very rarely individuals with intermediate phenotypes can be found. In the present study, potential gene flow between cave and surface populations was tested and population structure within five sampling sites was assessed. Overall, 213 individuals were genotyped at 18 microsatellite loci. We found that the cave populations have lower genetic diversity and are clearly isolated from the surface populations, which seem to be sporadically in contact with each other. The results indicate a recent genetic bottleneck in the cave populations. Thus, it can be assumed that during climatic changes the connection between cave and surface water bodies was disjoined, leaving a subpopulation trapped inside. Nevertheless, occasional gene flow between the morphotypes is detectable, but hybridisation seems only possible in cave habitat with permanent connection to surface water. Individuals from surface sites bearing intermediate phenotypes but cave genotypes imply that phenotypic plasticity might play a role in the development of the phenotype.

Indexed as

Gene FlowAnimalsCyprinidaeEcosystemEvolution, MolecularFish ProteinsGenetic VariationGenotyping TechniquesMicrosatellite RepeatsPhenotypePhylogenySequence Analysis, DNAFish Proteins

Identifiers

PMID28698621
PMCPMC5506003

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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.