Evidence map›Paper›PMID 26811787›Full record

ArticleEcology and evolution2016

Discovering hidden biodiversity: the use of complementary monitoring of fish diet based on DNA barcoding in freshwater ecosystems.

Hyunbin Jo, Marc Ventura, Nicolas Vidal, Jeong-Soo Gim, Teresa Buchaca, Leon A Barmuta, Erik Jeppesen, Gea-Jae Joo

Abstract read
In one paragraph

Article in Ecology and evolution, 2016. 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
–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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Next-generation sequencing analysis ofSaudi journal of biological sciences · 2019
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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

8 authors.

Hyunbin JoDepartment of Integrated Biological Science Pusan National University Busan 46241 South Korea.ORCID 0000-0001-8064-7880
Marc VenturaCentre for Advanced Studies of Blanes Spanish National Research Council (CEAB-CSIC) 17300 Blanes Catalonia Spain.
Nicolas VidalDepartment of Bioscience Aarhus University Vejlsøvej 258600 Silkeborg Denmark; Sino-Danish Centre for Education and Research (SDC) Beijing China.
Jeong-Soo GimDepartment of Integrated Biological Science Pusan National University Busan 46241 South Korea.
Teresa BuchacaCentre for Advanced Studies of Blanes Spanish National Research Council (CEAB-CSIC) 17300 Blanes Catalonia Spain.
Leon A BarmutaSchool of Zoology University of Tasmania Private Bag 5, Hobart, Tasmania 7000 Australia.
Erik JeppesenDepartment of Bioscience Aarhus University Vejlsøvej 258600 Silkeborg Denmark; Sino-Danish Centre for Education and Research (SDC) Beijing China.
Gea-Jae JooDepartment of Integrated Biological Science Pusan National University Busan 46241 South Korea.ORCID 0000-0002-5617-7601

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ecological monitoring contributes to the understanding of complex ecosystem functions. The diets of fish reflect the surrounding environment and habitats and may, therefore, act as useful integrating indicators of environmental status. It is, however, often difficult to visually identify items in gut contents to species level due to digestion of soft-bodied prey beyond visual recognition, but new tools rendering this possible are now becoming available. We used a molecular approach to determine the species identities of consumed diet items of an introduced generalist feeder, brown trout (Salmo trutta), in 10 Tasmanian lakes and compared the results with those obtained from visual quantification of stomach contents. We obtained 44 unique taxa (OTUs) belonging to five phyla, including seven classes, using the barcode of life approach from cytochrome oxidase I (COI). Compared with visual quantification, DNA analysis showed greater accuracy, yielding a 1.4-fold higher number of OTUs. Rarefaction curve analysis showed saturation of visually inspected taxa, while the curves from the DNA barcode did not saturate. The OTUs with the highest proportions of haplotypes were the families of terrestrial insects Formicidae, Chrysomelidae, and Torbidae and the freshwater Chironomidae. Haplotype occurrence per lake was negatively correlated with lake depth and transparency. Nearly all haplotypes were only found in one fish gut from a single lake. Our results indicate that DNA barcoding of fish diets is a useful and complementary method for discovering hidden biodiversity.

Indexed as

DNA barcodingfish dietmonitoring toolshallow lakes

Identifiers

PMID26811787
PMCPMC4716507

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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.