Evidence map›Paper›PMID 23346227›Full record

ArticleEvolutionary applications2012

Incorporating deep and shallow components of genetic structure into the management of Alaskan red king crab.

William Stewart Grant, Wei Cheng

Open access · goldAbstract read
In one paragraph

Article in Evolutionary applications, 2012. 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
1.9field-weighted citation impact, top 15% 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, 31 citations in OpenAlex.

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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

2 authors at 2 institutions in 1 country.

William Stewart GrantCommercial Fisheries Division, Alaska Department of Fish and Game 333 Raspberry Road, Anchorage, AK, USA ; Department of Biological Sciences, University of Alaska Anchorage Anchorage, AK, USA.
Wei Cheng
Alaska Department of Fish and Game · USUniversity of Alaska Anchorage · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Observed patterns of genetic variability among marine populations are shaped not only by contemporary levels of gene flow, but also by divergences during historical isolations. We examined variability at 15 SNP loci and in mtDNA sequences (COI, 665 bp) in red king crab from 17 localities in the North Pacific. These markers define three geographically distinct evolutionary lineages (SNPs, F(CT) = 0.054; mtDNA Φ(CT) = 0.222): (i) Okhotsk Sea-Norton Sound-Aleutian Islands, (ii) southeastern Bering Sea-western Gulf of Alaska, and (iii) Southeast Alaska. Populations in the Bering Sea and in Southeast Alaska are genetically heterogeneous, but populations in the center of the range are homogeneous. Mitochondrial DNA diversity drops from h = 0.91 in the northwestern Pacific to h = 0.24 in the Southeast Alaska. Bayesian skyline plots (BSPs) indicate postglacial population expansions, presumably from ice-age refugia. BSPs of sequences simulated under a demographic model defined by late Pleistocene temperatures failed to detect demographic variability before the last glacial maximum. These results sound a note of caution for the interpretation of BSPs. Population fragmentation in the Bering Sea and in Southeast Alaskan waters requires population management on a small geographic scale, and deep evolutionary partitions between the three geographic groups mandate regional conservation measures.

Indexed as

Bering Seagenetic population structuremarine crustaceanmitochondrial DNAnortheastern PacificParalithodes camtschaticusphylogeographysingle nucleotide polymorphisms

Identifiers

PMID23346227
PMCPMC3552400
OpenAlexW1497089559

What OpenQuestion holds

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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.