Evidence map›Paper›PMID 33203446›Full record

ArticleParasites & vectors2020

An integrative approach to identify sand fly vectors of leishmaniasis in Ethiopia by morphological and molecular techniques.

Myrthe Pareyn, Vit Dvorak, Petr Halada, Natalie Van Houtte, Nigatu Girma, Wim de Kesel, Behailu Merdekios, Fekadu Massebo, Herwig Leirs, Petr Volf

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2020. 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
1.4field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
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  4. Review
  5. Abundance and Distribution ofTropical medicine and infectious disease · 2024
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  7. Review
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  9. Integrative Approach toPathogens (Basel, Switzerland) · 2020
    Article
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

10 authors at 4 institutions in 3 countries.

Myrthe PareynEvolutionary Ecology Group, Biology Department, University of Antwerp, Antwerp, Belgium. myrthe.pareyn@uantwerpen.be.ORCID http://orcid.org/0000-0002-8918-3901
Vit DvorakDepartment of Parasitology, Faculty of Science, Charles University, Prague, Czech Republic.
Petr HaladaBioCeV-Institute of Microbiology, The Czech Academy of Sciences, Vestec, Czech Republic.
Natalie Van HoutteEvolutionary Ecology Group, Biology Department, University of Antwerp, Antwerp, Belgium.
Nigatu GirmaBiology Department, Arba Minch University, Arba Minch, Ethiopia.
Wim de KeselEvolutionary Ecology Group, Biology Department, University of Antwerp, Antwerp, Belgium.
Behailu MerdekiosDepartment of Public Health, Arba Minch University, Arba Minch, Ethiopia.
Fekadu MasseboBiology Department, Arba Minch University, Arba Minch, Ethiopia.
Herwig LeirsEvolutionary Ecology Group, Biology Department, University of Antwerp, Antwerp, Belgium.
Petr VolfDepartment of Parasitology, Faculty of Science, Charles University, Prague, Czech Republic. volf@cesnet.cz.
University of Antwerp · BEArba Minch University · ETCharles University · CZCzech Academy of Sciences · CZ

Funding

European Regional Development Fund BIOCEV CZ.1.05/1.1.00/02.0109Infravec2 731060MEYS CR LM2015043Vlaamse Interuniversitaire Raad NDOC2016PR003
6 · The paper itself

Abstract

backgroundEthiopia is affected by human leishmaniasis caused by several Leishmania species and transmitted by a variety of sand fly vectors of the genus Phlebotomus. The sand fly fauna in Ethiopia is highly diverse and some species are closely related and similar in morphology, resulting in difficulties with species identification that requires deployment of molecular techniques. DNA barcoding entails high costs, requires time and lacks reference sequences for many Ethiopian species. Yet, proper species identification is pivotal for epidemiological surveillance as species differ in their actual involvement in transmission cycles. Recently, protein profiling using MALDI-TOF mass spectrometry has been introduced as a promising technique for sand fly identification.

methodsIn our study, we used an integrative taxonomic approach to identify most of the important sand fly vectors of leishmaniasis in Ethiopia, applying three complementary methods: morphological assessment, sequencing analysis of two genetic markers, and MALDI-TOF MS protein profiling.

resultsAlthough morphological assessment resulted in some inconclusive identifications, both DNA- and protein-based techniques performed well, providing a similar hierarchical clustering pattern for the analyzed species. Both methods generated species-specific sequences or protein patterns for all species except for Phlebotomus pedifer and P. longipes, the two presumed vectors of Leishmania aethiopica, suggesting that they may represent a single species, P. longipes Parrot & Martin. All three approaches also revealed that the collected specimens of Adlerius sp. differ from P. (Adlerius) arabicus, the only species of Adlerius currently reported in Ethiopia, and molecular comparisons indicate that it may represent a yet undescribed new species.

conclusionsOur study uses three complementary taxonomical methods for species identification of taxonomically challenging and yet medically import Ethiopian sand flies. The generated MALDI-TOF MS protein profiles resulted in unambiguous identifications, hence showing suitability of this technique for sand fly species identification. Furthermore, our results contribute to the still inadequate knowledge of the sand fly fauna of Ethiopia, a country severely burdened with human leishmaniasis.

Indexed as

AnimalsEthiopiaFemaleInsect VectorsLeishmaniasisMalePhylogenyPsychodidaeSpecies SpecificitySpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationDNA barcodingEthiopiaMALDI-TOF mass spectrometryMorphologyPhlebotomusProtein profilingSand flies

Identifiers

PMID33203446
PMCPMC7672994
OpenAlexW3102855432

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LicenceCC BY
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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.