Evidence map›Paper›PMID 32844060›Full record

ArticlePeerJ2020

DNA barcoding of commercially important reef fishes in Weh Island, Aceh, Indonesia.

Nur Fadli, Siti Azizah Mohd Nor, Ahmad Sofiman Othman, Hizir Sofyan, Zainal A Muchlisin

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

4 citing papers in PubMed, 42 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

5 authors at 3 institutions in 2 countries.

Nur Fadli *Faculty of Marine and Fisheries, Syiah Kuala University, Banda Aceh, Aceh, Indonesia.
Siti Azizah Mohd Nor *Institute of Marine Biotechnology, Universiti Malaysia Terengganu, Terengganu, Malaysia.
Ahmad Sofiman OthmanSchool of Biological Sciences, Universiti Sains Malaysia, Penang, Malaysia.
Hizir SofyanFaculty of Mathematics and Natural Science, Syiah Kuala University, Banda Aceh, Aceh, Indonesia.
Zainal A MuchlisinFaculty of Marine and Fisheries, Syiah Kuala University, Banda Aceh, Aceh, Indonesia.
Syiah Kuala University · IDUniversiti Malaysia Terengganu · MYUniversiti Sains Malaysia · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Knowledge on the precise identification of fish resources is critical for sustainable fisheries management. This study employs the DNA barcoding approach to generate a molecular taxonomic catalogue of commercially important reef fishes in the waters of Weh Island (Aceh Province), the most northerly inhabited island in the biodiverse Indonesian Archipelago. The waters not only support artisanal fisheries but also a feeder for the industry in the greater island of Aceh. In total, 230 specimens from 72 species belonging to 32 genera and 17 families were DNA barcoded, representing a major segment of the captured reef fish taxa and a quarter of fish species diversity that had previously been recorded. The sequence read lengths were 639 bp revealing 359 conserved sites, 280 variable sites, 269 parsimony informative and 11 singletons. Our molecular findings paralleled the morphological identification with no evidence of cryptic species or new species discovery. This study is a significant contribution to the fisheries statistics of this area, which would facilitate assessment of species catch composition and hence for strategizing management plans. It is an important input to the DNA barcode library of Indonesian marine fishes and to the global DNA barcode entries in general.

Indexed as

AcehDNA barcodingFisheriesReef fishesWeh Island

Identifiers

PMID32844060
PMCPMC7414767
OpenAlexW3047001692

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.