Evidence map›Paper›PMID 29192249›Full record

ArticleScientific reports2017

Multilocus DNA barcoding - Species Identification with Multilocus Data.

Junning Liu, Jiamei Jiang, Shuli Song, Luke Tornabene, Ryan Chabarria, Gavin J P Naylor, Chenhong Li

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 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

7 authors.

Junning LiuShanghai Universities Key Laboratory of Marine Animal Taxonomy and Evolution, Shanghai, 201306, China.
Jiamei JiangShanghai Universities Key Laboratory of Marine Animal Taxonomy and Evolution, Shanghai, 201306, China.
Shuli SongShanghai Universities Key Laboratory of Marine Animal Taxonomy and Evolution, Shanghai, 201306, China.
Luke TornabeneSchool of Aquatic and Fisheries Sciences, University of Washington, Seattle, WA, 98195, USA.
Ryan ChabarriaCollege of Science & Engineering, Texas A&M University - Corpus Christi, Corpus Christi, TX, 78412-5806, USA.
Gavin J P NaylorUniversity of Florida, Gainesville, FL, 3261, USA.
Chenhong LiShanghai Universities Key Laboratory of Marine Animal Taxonomy and Evolution, Shanghai, 201306, China. chli@shou.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Species identification using DNA sequences, known as DNA barcoding has been widely used in many applied fields. Current barcoding methods are usually based on a single mitochondrial locus, such as cytochrome c oxidase subunit I (COI). This type of barcoding method does not always work when applied to species separated by short divergence times or that contain introgressed genes from closely related species. Herein we introduce a more effective multi-locus barcoding framework that is based on gene capture and "next-generation" sequencing. We selected 500 independent nuclear markers for ray-finned fishes and designed a three-step pipeline for multilocus DNA barcoding. We applied our method on two exemplar datasets each containing a pair of sister fish species: Siniperca chuatsi vs. Sini. kneri and Sicydium altum vs. Sicy. adelum, where the COI barcoding approach failed. Both of our empirical and simulated results demonstrated that under limited gene flow and enough separation time, we could correctly identify species using multilocus barcoding method. We anticipate that, as the cost of DNA sequencing continues to fall that our multilocus barcoding approach will eclipse existing single-locus DNA barcoding methods as a means to better understand the diversity of the living world.

Indexed as

DNA Barcoding, TaxonomicMultilocus Sequence TypingAnimalsComputational BiologyFishesGenetics, PopulationPhylogeny

Identifiers

PMID29192249
PMCPMC5709489

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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.