Evidence map›Paper›PMID 29736340›Full record

ArticlePeerJ2018

Population connectivity and larval dispersal of the exploited mangrove crab

Fábio B Britto, Anders J Schmidt, Adriana M F Carvalho, Carolina C M P Vasconcelos, Antonia M Farias, Paul Bentzen, Fábio M Diniz

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 12 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

7 authors at 4 institutions in 2 countries.

Fábio B BrittoDepartment of Biology, Universidade Federal do Piauí, Teresina, Piauí, Brazil.
Anders J SchmidtUniversidade Federal do Sul da Bahia, Teixeira de Freitas, Bahia, Brazil.
Adriana M F CarvalhoMolecular Biology & Biotechnology Laboratory, Embrapa Meio-Norte, Teresina, Piauí, Brazil.
Carolina C M P VasconcelosMolecular Biology & Biotechnology Laboratory, Embrapa Meio-Norte, Teresina, Piauí, Brazil.
Antonia M FariasUniversidade Federal do Piauí, Northeast Biotechnology Network RENORBIO, Teresina, Piauí, Brazil.
Paul BentzenDepartment of Biology, Dalhousie University, Halifax, NS, Canada.
Fábio M DinizMolecular Biology Laboratory, Embrapa Caprinos e Ovinos, Sobral, Ceará, Brazil.
Brazilian Agricultural Research Corporation · BRUniversidade Federal do Piauí · BRDalhousie University · CAUniversidade Federal do Sul da Bahia · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe mangrove crab

methodsNine microsatellites were used to resolve population structure of 319 crabs collected from six sites located along the Brazilian coast. The degree of geographical differentiation included estimates of genetic diversity, population structure and gene flow models, with spatial analysis of shared alleles (SAShA), isolation by distance tests, AMOVA, discriminant analysis of principal components (DAPC) and Bayesian clustering. We estimated the amount of ongoing gene flow between clusters using the coalescent-based method implemented in Migrate-N.

resultsLoci were highly polymorphic (average of 12.4 alleles per locus) evidencing high genetic variability. There was significant differentiation among localities, despite of the low value of DISCUSSION: The high migration rates found among localities seem to be the main force acting to sustain the distribution of the genetic diversity of

Indexed as

ConservationGene flowMicrosatellitesMigration ratePopulation structure

Identifiers

PMID29736340
PMCPMC5933341
OpenAlexW2801148435

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.