Evidence map›Paper›PMID 34980218›Full record

ArticleParasites & vectors2022

A proteomics informed by transcriptomics insight into the proteome of Ornithodoros erraticus adult tick saliva.

Ricardo Pérez-Sánchez, Angel Carnero-Morán, M Luz Valero, Ana Oleaga

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
8.4field-weighted citation impact, top 1% 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

5 citing papers in PubMed, 47 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Ricardo Pérez-SánchezParasitology Laboratory, Spanish National Research Council Institute of Natural Resources and Agrobiology (CSIC-IRNASA), Cordel de Merinas, 40-52, 37008, Salamanca, Spain. ricardo.perez@irnasa.csic.es.ORCID http://orcid.org/0000-0001-8875-439X
Angel Carnero-MoránParasitology Laboratory, Spanish National Research Council Institute of Natural Resources and Agrobiology (CSIC-IRNASA), Cordel de Merinas, 40-52, 37008, Salamanca, Spain.
M Luz ValeroProteomics Section, Central Service for Experimental Research, University of Valencia, Carrer del Dr. Moliner, 50, 46100, Burjassot, Spain.
Ana Oleaga
Consejo Superior de Investigaciones Científicas · ESUniversitat de València · ES

Funding

Consejería de Educación, Junta de Castilla y León CLU-2019-05Ministerio de Ciencia, Innovación y Universidades RTI2018-098297-B-I00
6 · The paper itself

Abstract

backgroundThe argasid tick Ornithodoros erraticus is the main vector of tick-borne human relapsing fever (TBRF) and African swine fever (ASF) in the Mediterranean Basin. The prevention and control of these diseases would greatly benefit from the elimination of O. erraticus populations, and anti-tick vaccines are envisaged as an effective and sustainable alternative to chemical acaricide usage for tick control. Ornithodoros erraticus saliva contains bioactive proteins that play essential functions in tick feeding and host defence modulation, which may contribute to host infection by tick-borne pathogens. Hence, these proteins could be candidate antigen targets for the development of vaccines aimed at the control and prevention of O. erraticus infestations and the diseases this tick transmits. The objective of the present work was to obtain and characterise the proteome of the saliva of O. erraticus adult ticks as a means to identify and select novel salivary antigen targets.

methodsA proteomics informed by transcriptomics (PIT) approach was applied to analyse samples of female and male saliva separately using the previously obtained O. erraticus sialotranscriptome as a reference database and two different mass spectrometry techniques, namely liquid chromatography-tandem mass spectrometry (LC-MS/MS) in data-dependent acquisition mode and sequential window acquisition of all theoretical fragment ion spectra MS (SWATH-MS).

resultsUp to 264 and 263 proteins were identified by LC-MS/MS in the saliva of O. erraticus female and male ticks, respectively, totalling 387 non-redundant proteins. Of these, 224 were further quantified by SWATH-MS in the saliva of both male and female ticks. Quantified proteins were classified into 23 functional categories and their abundance compared between sexes. Heme/iron-binding proteins, protease inhibitors, proteases, lipocalins and immune-related proteins were the categories most abundantly expressed in females, while glycolytic enzymes, protease inhibitors and lipocalins were the most abundantly expressed in males. Ninety-seven proteins were differentially expressed between the sexes, of which 37 and 60 were overexpressed in females and males, respectively.

conclusionsThe PIT approach demonstrated its usefulness for proteomics studies of O. erraticus, a non-model organism without genomic sequences available, allowing the publication of the first comprehensive proteome of the saliva of O. erraticus reported to date. These findings confirm important quantitative differences between sexes in the O. erraticus saliva proteome, unveil novel salivary proteins and functions at the tick-host feeding interface and improve our understanding of the physiology of feeding in O. erraticus ticks. The integration of O. erraticus sialoproteomic and sialotranscriptomic data will drive a more rational selection of salivary candidates as antigen targets for the development of vaccines aimed at the control of O. erraticus infestations and the diseases it transmits.

Indexed as

TranscriptomeAfrican Swine FeverAnimalsArachnid VectorsChromatography, LiquidFemaleHumansMaleOrnithodorosProteomeProteomicsRelapsing FeverSalivaSialoglycoproteinsSwineTandem Mass SpectrometryProteomeSialoglycoproteinsLC–MS/MSOrnithodoros erraticusProteomeProteomicsSalivaSoft ticksSWATH-MS

Identifiers

PMID34980218
PMCPMC8722417
OpenAlexW4225282286

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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.