Evidence map›Paper›PMID 25268591›Full record

ArticlePloS one2014

Investigating population genetic structure in a highly mobile marine organism: the minke whale Balaenoptera acutorostrata acutorostrata in the North East Atlantic.

María Quintela, Hans J Skaug, Nils Øien, Tore Haug, Bjørghild B Seliussen, Hiroko K Solvang, Christophe Pampoulie, Naohisa Kanda, Luis A Pastene, Kevin A Glover

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

6 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. North Atlantic minke whale (Ecology and evolution · 2021
    Article
  3. Article
  4. Landscape genetic structure ofEcology and evolution · 2019
    Article
  5. Article
  6. 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

10 authors at 3 institutions in 3 countries.

María QuintelaDept. of Population Genetics, Institute of Marine Research, Bergen, Norway; BIOCOST Research Group, Dept. of Animal Biology, Plant Biology and Ecology, University of A Coruña, A Coruña, Spain.
Hans J SkaugDept. of Population Genetics, Institute of Marine Research, Bergen, Norway; Department of Mathematics, University of Bergen, Bergen, Norway.
Nils ØienDept. of Marine Mammals, Institute of Marine Research, Bergen, Norway.
Tore HaugDept. of Marine Mammals, Institute of Marine Research, Tromsø, Norway.
Bjørghild B SeliussenDept. of Population Genetics, Institute of Marine Research, Bergen, Norway.
Hiroko K SolvangDept. of Marine Mammals, Institute of Marine Research, Bergen, Norway.
Christophe PampoulieMarine Research Institute of Iceland, Reykjavik, Iceland.
Naohisa KandaInstitute of Cetacean Research, Tokyo, Japan.
Luis A PasteneInstitute of Cetacean Research, Tokyo, Japan.
Kevin A GloverDept. of Population Genetics, Institute of Marine Research, Bergen, Norway; Department of Informatics, Faculty of Mathematics and Natural Sciences, University of Bergen, Bergen, Norway.
Norwegian Institute of Marine Research · NOMarine and Freshwater Research Institute · ISUniversity of Bergen · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inferring the number of genetically distinct populations and their levels of connectivity is of key importance for the sustainable management and conservation of wildlife. This represents an extra challenge in the marine environment where there are few physical barriers to gene-flow, and populations may overlap in time and space. Several studies have investigated the population genetic structure within the North Atlantic minke whale with contrasting results. In order to address this issue, we analyzed ten microsatellite loci and 331 bp of the mitochondrial D-loop on 2990 whales sampled in the North East Atlantic in the period 2004 and 2007-2011. The primary findings were: (1) No spatial or temporal genetic differentiations were observed for either class of genetic marker. (2) mtDNA identified three distinct mitochondrial lineages without any underlying geographical pattern. (3) Nuclear markers showed evidence of a single panmictic population in the NE Atlantic according STRUCTURE's highest average likelihood found at K = 1. (4) When K = 2 was accepted, based on the Evanno's test, whales were divided into two more or less equally sized groups that showed significant genetic differentiation between them but without any sign of underlying geographic pattern. However, mtDNA for these individuals did not corroborate the differentiation. (5) In order to further evaluate the potential for cryptic structuring, a set of 100 in silico generated panmictic populations was examined using the same procedures as above showing genetic differentiation between two artificially divided groups, similar to the aforementioned observations. This demonstrates that clustering methods may spuriously reveal cryptic genetic structure. Based upon these data, we find no evidence to support the existence of spatial or cryptic population genetic structure of minke whales within the NE Atlantic. However, in order to conclusively evaluate population structure within this highly mobile species, more markers will be required.

Indexed as

Gene FlowGenetics, PopulationAnimal DistributionAnimalsAtlantic OceanBase SequenceDNA, MitochondrialEuropeFemaleGenetic VariationMaleMicrosatellite RepeatsMinke WhaleMolecular Sequence DataSpatio-Temporal AnalysisDNA, Mitochondrial

Identifiers

PMID25268591
PMCPMC4182549
OpenAlexW2033512663

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.