Evidence map›Paper›PMID 26979606›Full record

ArticleParasites & vectors2016

Matrix-assisted laser desorption/ionization time of flight mass spectrometry for comprehensive indexing of East African ixodid tick species.

Julian Rothen, Naftaly Githaka, Esther G Kanduma, Cassandra Olds, Valentin Pflüger, Stephen Mwaura, Richard P Bishop, Claudia Daubenberger

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 5% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

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  12. Detection of Bartonella spp. in fleas by MALDI-TOF MS.PLoS neglected tropical diseases · 2018
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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 at 3 institutions in 3 countries.

Julian RothenDepartment of Medical Parasitology and Infection Biology, Clinical Immunology Unit, Swiss Tropical and Public Health Institute (Swiss TPH), Socinstr. 57, CH 4002, Basel, Switzerland. julian.rothen@unibas.ch.
Naftaly GithakaInternational Livestock Research Institute (ILRI), PO Box 30709-00100, Nairobi, Kenya.
Esther G KandumaBiosciences eastern and central Africa - International Livestock Research Institute (BecA-ILRI) Hub, PO Box 30709, 00100, Nairobi, Kenya.
Cassandra OldsDepartment of Veterinary Microbiology and Pathology, Washington State University, PO Box 647040, Pullman, WA, 99163, USA.
Valentin PflügerMabritec SA, Lörracherstrasse 50, CH 4125, Riehen, Switzerland.
Stephen MwauraInternational Livestock Research Institute (ILRI), PO Box 30709-00100, Nairobi, Kenya.
Richard P BishopInternational Livestock Research Institute (ILRI), PO Box 30709-00100, Nairobi, Kenya.
Claudia DaubenbergerDepartment of Medical Parasitology and Infection Biology, Clinical Immunology Unit, Swiss Tropical and Public Health Institute (Swiss TPH), Socinstr. 57, CH 4002, Basel, Switzerland.
International Livestock Research Institute · KESwiss Tropical and Public Health Institute · CHWashington State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe tick population of Africa includes several important genera belonging to the family Ixodidae. Many of these ticks are vectors of protozoan and rickettsial pathogens including Theileria parva that causes East Coast fever, a debilitating cattle disease endemic to eastern, central and southern Africa. Effective surveillance of tick-borne pathogens depends on accurate identification and mapping of their tick vectors. A simple and reproducible technique for rapid and reliable differentiation of large numbers of closely related field-collected ticks, which are often difficult and tedious to discriminate purely by morphology, will be an essential component of this strategy. Matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF MS) is increasingly becoming a useful tool in arthropod identification and has the potential to overcome the limitations of classical morphology-based species identification. In this study, we applied MALDI-TOF MS to a collection of laboratory and field ticks found in Eastern Africa. The objective was to determine the utility of this proteomic tool for reliable species identification of closely related afrotropical ticks.

methodsA total of 398 ixodid ticks from laboratory maintained colonies, extracted from the hides of animals or systematically collected from vegetation in Kenya, Sudan and Zimbabwe were analyzed in the present investigation. The cytochrome c oxidase I (COI) genes from 33 specimens were sequenced to confirm the tentatively assigned specimen taxa identity on the basis of morphological analyses. Subsequently, the legs of ticks were homogenized and analyzed by MALDI-TOF MS. A collection of reference mass spectra, based on the mass profiles of four individual ticks per species, was developed and deposited in the spectral database SARAMIS™. The ability of these superspectra (SSp.) to identify and reliably validate a set of ticks was demonstrated using the remaining individual 333 ticks.

resultsUltimately, ten different tick species within the genera Amblyomma, Hyalomma, Rhipicephalus and Rhipicephalus (Boophilus) based on molecular COI typing and morphology were included into the study analysis. The robustness of the 12 distinct SSp. developed here proved to be very high, with 319 out of 333 ticks used for validation identified correctly at species level. Moreover, these novel SSp. allowed for diagnostic specificity of 99.7 %. The failure of species identification for 14 ticks was directly linked to low quality mass spectra, most likely due to poor specimen quality that was received in the laboratory before sample preparation.

conclusionsOur results are consistent with earlier studies demonstrating the potential of MALDI-TOF MS as a reliable tool for differentiating ticks originating from the field, especially females that are difficult to identify after blood feeding. This work provides further evidence of the utility of MALDI-TOF MS to identify morphologically and genetically highly similar tick species and indicates the potential of this tool for large-scale monitoring of tick populations, species distributions and host preferences.

Indexed as

Insect VectorsAbstracting and IndexingAnimalsEntomologyIxodidaeKenyaSensitivity and SpecificitySpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationSudanZimbabweAmblyommaBoophilusCOIHyalommaMALDI-TOF MSRhipicephalusSpecies identificationTicksVector epidemiology

Identifiers

PMID26979606
PMCPMC4792108
OpenAlexW2299509193

What OpenQuestion holds

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LicenceCC BY
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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.