Evidence map›Paper›PMID 30962473›Full record

ArticleScientific reports2019

Linking morphological and molecular taxonomy for the identification of poultry house, soil, and nest dwelling mites in the Western Palearctic.

Monica R Young, María L Moraza, Eddie Ueckermann, Dieter Heylen, Lisa F Baardsen, Jose Francisco Lima-Barbero, Shira Gal, Efrat Gavish-Regev, Yuval Gottlieb, Lise Roy and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

9 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

13 authors.

Monica R YoungCentre for Biodiversity Genomics, University of Guelph, Guelph, Canada. myoung02@uoguelph.ca.ORCID http://orcid.org/0000-0002-7388-8202
María L MorazaDepartamento de Biología Ambiental, Facultad de Ciencias, Universidad de Navarra, Pamplona, Spain.
Eddie UeckermannUnit for Environmental Sciences and Management, Potchefstroom Campus, North-West University, Private Bag X6001, Potchefstroom, 2520, South Africa.
Dieter HeylenInteruniversity Institute for Biostatistics and Statistical Bioinformatics, Hasselt University, Diepenbeek, Belgium.
Lisa F BaardsenEvolutionary Ecology Group, University of Antwerp, Wilrijk, Belgium.
Jose Francisco Lima-BarberoHealth and Biotecnology Group (SABIO), Institute for Game and Wildlife Research (CSIC-UCLM), Ciudad Real, Spain.ORCID http://orcid.org/0000-0002-2694-0215
Shira GalNewe-Ya'ar Research Center, Agricultural Research Organization, Ramat Yishay, Israel.
Efrat Gavish-RegevThe National Natural History Collections, The Hebrew University of Jerusalem, Jerusalem, Israel.ORCID http://orcid.org/0000-0002-7359-1492
Yuval GottliebKoret School of Veterinary Medicine, The Hebrew University of Jerusalem, Rehovot, Israel.
Lise RoyUMR 5175 CEFE, CNRS - Université de Montpellier - Université Paul-Valéry Montpellier - EPHE, Route de Mende, 34199, Montpellier, Cedex 5, France.ORCID http://orcid.org/0000-0001-8833-1717
Eitan RechtPlant Protection and Inspection Services, Bet Dagan, Israel.
Marine El AdouziUMR 5175 CEFE, CNRS - Université de Montpellier - Université Paul-Valéry Montpellier - EPHE, Route de Mende, 34199, Montpellier, Cedex 5, France.
Eric PalevskyNewe-Ya'ar Research Center, Agricultural Research Organization, Ramat Yishay, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Because of its ability to expedite specimen identification and species delineation, the barcode index number (BIN) system presents a powerful tool to characterize hyperdiverse invertebrate groups such as the Acari (mites). However, the congruence between BINs and morphologically recognized species has seen limited testing in this taxon. We therefore apply this method towards the development of a barcode reference library for soil, poultry litter, and nest dwelling mites in the Western Palearctic. Through analysis of over 600 specimens, we provide DNA barcode coverage for 35 described species and 70 molecular taxonomic units (BINs). Nearly 80% of the species were accurately identified through this method, but just 60% perfectly matched (1:1) with BINs. High intraspecific divergences were found in 34% of the species examined and likely reflect cryptic diversity, highlighting the need for revision in these taxa. These findings provide a valuable resource for integrative pest management, but also highlight the importance of integrating morphological and molecular methods for fine-scale taxonomic resolution in poorly-known invertebrate lineages.

Indexed as

PhylogenyAnimalsDNA Barcoding, TaxonomicEcosystemGenome, InsectMitesPoultry

Identifiers

PMID30962473
PMCPMC6453913

What OpenQuestion holds

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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.