Rapid identification of mosquito species, sex and age by mass spectrometric analysis. RAW MS data files

Beynon, Robert ORCID: https://orcid.org/0000-0003-0857-495X, Wagner, Iris ORCID: https://orcid.org/0000-0001-9198-4532 and Ranson, Hilary ORCID: https://orcid.org/0000-0003-2332-8247 (2021) Rapid identification of mosquito species, sex and age by mass spectrometric analysis. RAW MS data files. [Data Collection]

Data Catalogue DOI: 10.17638/datacat.liverpool.ac.uk/1565

Description

This dataset is the entire assembly of raw data files, collected on a Waters Synapt G2si with a REIMS source, that is associated with this publication. Abstract Background: A rapid, accurate method to identify, and to age grade mosquito populations would be a major advance in predicting the risk of pathogen transmission and evaluating the public health impact of vector control interventions. Whilst newer chemometric methods show promise, current approaches rely on challenging morphological techniques or simple binary classifications that cannot identify the subset of the population old enough to be infectious. In this study the ability of Rapid Evaporative Ionisation Mass Spectrometry (REIMS) to identify the species, sex and age of mosquitoes reared in the laboratory and wild was investigated. Results The accuracy of REIMs in identifying morphologically identical members of the Anopheles gambiae complex exceeded 96 %. Age separation into 3 different age categories (X, Y, Z ) was achieved with 92 % accuracy, with no reduction in predictive value after sample storage for up to 14 days. When tested on wild mosquitoes from the UK, REIMS was also able to determine the species and age of the specimens with accuracies of 91 and 90 % respectively. Conclusions The accuracy of REIMS to resolve the species and age of Anopheles mosquitoes is comparable to that achieved by chemometric approaches and the processing time and ease of use represent significant advantages over current, dissection-based methods. Importantly the accuracy was maintained when using wild mosquitoes reared under differing environmental conditions, and when mosquitoes were stored frozen or desiccated. This high throughput approach thus has potential to conduct rapid, real-time monitoring of vector populations, providing entomological evidence of the impact of alternative interventions.

Keywords:

rapid evaporative ionization mass spectrometry, REIMS, mass spectrometry, species identification, mosquito, age profiling, species identification

Divisions:

Faculty of Health and Life Sciences > Institute of Systems, Molecular and Integrative Biology > Biochemistry and System Biology

Depositing User:

Rob Beynon

Date Deposited:

14 Feb 2022 11:52

Last Modified:

14 Feb 2022 11:52

DOI:

10.17638/datacat.liverpool.ac.uk/1565