Evidence map›Paper›PMID 26120422›Full record

ArticleEcology and evolution2015

Population genetics of four heavily exploited shark species around the Arabian Peninsula.

Julia L Y Spaet, Rima W Jabado, Aaron C Henderson, Alec B M Moore, Michael L Berumen

Abstract read
In one paragraph

Article in Ecology and evolution, 2015. 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
–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

6 citing papers in PubMed.

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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

5 authors.

Julia L Y SpaetRed Sea Research Center, Division of Biological and Environmental Science and Engineering, King Abdullah University of Science and Technology 23955-6900, Thuwal, Saudi Arabia.
Rima W JabadoGulf Elasmo Project P.O. Box 29588, Dubai, United Arab Emirates.
Aaron C HendersonDepartment of Marine Science & Fisheries, College of Agricultural & Marine Sciences, Sultan Qaboos University Muscat, Oman.
Alec B M MooreRSK Environment Ltd, Spring Lodge Helsby, Cheshire, WA6 0AR, UK.
Michael L BerumenRed Sea Research Center, Division of Biological and Environmental Science and Engineering, King Abdullah University of Science and Technology 23955-6900, Thuwal, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The northwestern Indian Ocean harbors a number of larger marine vertebrate taxa that warrant the investigation of genetic population structure given remarkable spatial heterogeneity in biological characteristics such as distribution, behavior, and morphology. Here, we investigate the genetic population structure of four commercially exploited shark species with different biological characteristics (Carcharhinus limbatus, Carcharhinus sorrah, Rhizoprionodon acutus, and Sphyrna lewini) between the Red Sea and all other water bodies surrounding the Arabian Peninsula. To assess intraspecific patterns of connectivity, we constructed statistical parsimony networks among haplotypes and estimated (1) population structure; and (2) time of most recent population expansion, based on mitochondrial control region DNA and a total of 20 microsatellites. Our analysis indicates that, even in smaller, less vagile shark species, there are no contemporary barriers to gene flow across the study region, while historical events, for example, Pleistocene glacial cycles, may have affected connectivity in C. sorrah and R. acutus. A parsimony network analysis provided evidence that Arabian S. lewini may represent a population segment that is distinct from other known stocks in the Indian Ocean, raising a new layer of conservation concern. Our results call for urgent regional cooperation to ensure the sustainable exploitation of sharks in the Arabian region.

Indexed as

Carcharhinus limbatusCarcharhinus sorrahconnectivityelasmobranchsRhizoprionodon acutusSphyrna lewini

Identifiers

PMID26120422
PMCPMC4475365

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Registered trials

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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.