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Enhanced procedures for mosquito identification by MALDI-TOF MS

BACKGROUND: In the last decade, an innovative approach has emerged for arthropod identification based on matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS). Increasing interest in applying the original technique for arthropod identification has led to the dev...

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Autores principales: Bamou, Roland, Costa, Monique Melo, Diarra, Adama Zan, Martins, Ademir Jesus, Parola, Philippe, Almeras, Lionel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9248115/
https://www.ncbi.nlm.nih.gov/pubmed/35773735
http://dx.doi.org/10.1186/s13071-022-05361-0
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author Bamou, Roland
Costa, Monique Melo
Diarra, Adama Zan
Martins, Ademir Jesus
Parola, Philippe
Almeras, Lionel
author_facet Bamou, Roland
Costa, Monique Melo
Diarra, Adama Zan
Martins, Ademir Jesus
Parola, Philippe
Almeras, Lionel
author_sort Bamou, Roland
collection PubMed
description BACKGROUND: In the last decade, an innovative approach has emerged for arthropod identification based on matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS). Increasing interest in applying the original technique for arthropod identification has led to the development of a variety of procedures for sample preparation and selection of body parts, among others. However, the absence of a consensual strategy hampers direct inter-study comparisons. Moreover, these different procedures are confusing to new users. Establishing optimized procedures and standardized protocols for mosquito identification by MALDI-TOF MS is therefore a necessity, and would notably enable the sharing of reference MS databases. Here, we assess the optimal conditions for mosquito identification using MALDI-TOF MS profiling. METHODS: Three homogenization methods, two of which were manual and one automatic, were used on three distinct body parts (legs, thorax, head) of two mosquito laboratory strains, Anopheles coluzzii and Aedes aegypti, and the results evaluated. The reproducibility of MS profiles, identification rate with relevant scores and the suitability of procedures for high-throughput analyses were the main criteria for establishing optimized guidelines. Additionally, the consequences of blood-feeding and geographical origin were evaluated using both laboratory strains and field-collected mosquitoes. RESULTS: Relevant score values for mosquito identification were obtained for all the three body parts assayed using MALDI-TOF MS profiling; however, the thorax and legs were the most suitable specimens, independently of homogenization method or species. Although the manual homogenization methods were associated with a high rate of identification on the three body parts, this homogenization mode is not adaptable to the processing of a large number of samples. Therefore, the automatic homogenization procedure was selected as the reference homogenization method. Blood-feeding status did not hamper the identification of mosquito species, despite the presence of MS peaks from original blood in the MS profiles of the three body parts tested from both species. Finally, a significant improvement in identification scores was obtained for field-collected specimens when MS spectra of species from the same geographical area were added to the database. CONCLUSION: The results of the current study establish guidelines for the selection of mosquito anatomic parts and modality of sample preparation (e.g. homogenization) for future specimen identification by MALDI-TOF MS profiling. These standardized operational protocols could be used as references for creating an international MS database. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13071-022-05361-0.
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spelling pubmed-92481152022-07-02 Enhanced procedures for mosquito identification by MALDI-TOF MS Bamou, Roland Costa, Monique Melo Diarra, Adama Zan Martins, Ademir Jesus Parola, Philippe Almeras, Lionel Parasit Vectors Research BACKGROUND: In the last decade, an innovative approach has emerged for arthropod identification based on matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS). Increasing interest in applying the original technique for arthropod identification has led to the development of a variety of procedures for sample preparation and selection of body parts, among others. However, the absence of a consensual strategy hampers direct inter-study comparisons. Moreover, these different procedures are confusing to new users. Establishing optimized procedures and standardized protocols for mosquito identification by MALDI-TOF MS is therefore a necessity, and would notably enable the sharing of reference MS databases. Here, we assess the optimal conditions for mosquito identification using MALDI-TOF MS profiling. METHODS: Three homogenization methods, two of which were manual and one automatic, were used on three distinct body parts (legs, thorax, head) of two mosquito laboratory strains, Anopheles coluzzii and Aedes aegypti, and the results evaluated. The reproducibility of MS profiles, identification rate with relevant scores and the suitability of procedures for high-throughput analyses were the main criteria for establishing optimized guidelines. Additionally, the consequences of blood-feeding and geographical origin were evaluated using both laboratory strains and field-collected mosquitoes. RESULTS: Relevant score values for mosquito identification were obtained for all the three body parts assayed using MALDI-TOF MS profiling; however, the thorax and legs were the most suitable specimens, independently of homogenization method or species. Although the manual homogenization methods were associated with a high rate of identification on the three body parts, this homogenization mode is not adaptable to the processing of a large number of samples. Therefore, the automatic homogenization procedure was selected as the reference homogenization method. Blood-feeding status did not hamper the identification of mosquito species, despite the presence of MS peaks from original blood in the MS profiles of the three body parts tested from both species. Finally, a significant improvement in identification scores was obtained for field-collected specimens when MS spectra of species from the same geographical area were added to the database. CONCLUSION: The results of the current study establish guidelines for the selection of mosquito anatomic parts and modality of sample preparation (e.g. homogenization) for future specimen identification by MALDI-TOF MS profiling. These standardized operational protocols could be used as references for creating an international MS database. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13071-022-05361-0. BioMed Central 2022-06-30 /pmc/articles/PMC9248115/ /pubmed/35773735 http://dx.doi.org/10.1186/s13071-022-05361-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Bamou, Roland
Costa, Monique Melo
Diarra, Adama Zan
Martins, Ademir Jesus
Parola, Philippe
Almeras, Lionel
Enhanced procedures for mosquito identification by MALDI-TOF MS
title Enhanced procedures for mosquito identification by MALDI-TOF MS
title_full Enhanced procedures for mosquito identification by MALDI-TOF MS
title_fullStr Enhanced procedures for mosquito identification by MALDI-TOF MS
title_full_unstemmed Enhanced procedures for mosquito identification by MALDI-TOF MS
title_short Enhanced procedures for mosquito identification by MALDI-TOF MS
title_sort enhanced procedures for mosquito identification by maldi-tof ms
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9248115/
https://www.ncbi.nlm.nih.gov/pubmed/35773735
http://dx.doi.org/10.1186/s13071-022-05361-0
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