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Flow cytometry analysis of the microbiota associated with the midguts of vector mosquitoes

BACKGROUND: The scientific interest to understand the function and structure of the microbiota associated with the midgut of mosquito disease vectors is increasing. The advancement of such a knowledge has encountered challenges and limitations associated with conventional culture-based and PCR techn...

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Autores principales: Habtewold, Tibebu, Duchateau, Luc, Christophides, George K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4802834/
https://www.ncbi.nlm.nih.gov/pubmed/27004717
http://dx.doi.org/10.1186/s13071-016-1438-0
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author Habtewold, Tibebu
Duchateau, Luc
Christophides, George K.
author_facet Habtewold, Tibebu
Duchateau, Luc
Christophides, George K.
author_sort Habtewold, Tibebu
collection PubMed
description BACKGROUND: The scientific interest to understand the function and structure of the microbiota associated with the midgut of mosquito disease vectors is increasing. The advancement of such a knowledge has encountered challenges and limitations associated with conventional culture-based and PCR techniques. METHODS: Flow cytometry (FCM) combined with various cell marking dyes have been successfully applied in the field of ecological microbiology to circumvent the above shortcomings. Here, we describe FCM technique coupled with live/dead differential staining dyes SYBR Green I (SGI) and Propidium Iodide (PI) to quantify and study other essential characteristics of the mosquito gut microbiota. RESULTS: A clear discrimination between cells and debris, as well as between live and dead cells was achieved when the midgut homogenate was subjected to staining with 5 × 103 dilution of the SGI and 30 μM concentration of the PI. Reproducibly, FCM event collections produced discrete populations including non-fluorescent cells, SYBR positive cells, PI fluorescing cells and cells that fluoresce both in SYBR and PI, all these cell populations representing, respectively, background noise, live bacterial, dead cells and inactive cells with partial permeability to PI. The FCM produced a strong linear relationship between cell counts and their corresponding dilution factors (R(2) = 0.987), and the technique has a better precision compared to qRT-PCR. The FCM count of the microbiota reached a peak load at 18 h post-feeding and started declining at 24 h. The present FCM technique also successfully applied to quantify bacterial cells in fixed midgut samples that were homogenized in 4 % PFA. CONCLUSION: The FCM technique described here offers enormous potential and possibilities of integration with advanced molecular biochemical techniques for the study of the microbiota community in disease vector mosquitoes.
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spelling pubmed-48028342016-03-22 Flow cytometry analysis of the microbiota associated with the midguts of vector mosquitoes Habtewold, Tibebu Duchateau, Luc Christophides, George K. Parasit Vectors Research BACKGROUND: The scientific interest to understand the function and structure of the microbiota associated with the midgut of mosquito disease vectors is increasing. The advancement of such a knowledge has encountered challenges and limitations associated with conventional culture-based and PCR techniques. METHODS: Flow cytometry (FCM) combined with various cell marking dyes have been successfully applied in the field of ecological microbiology to circumvent the above shortcomings. Here, we describe FCM technique coupled with live/dead differential staining dyes SYBR Green I (SGI) and Propidium Iodide (PI) to quantify and study other essential characteristics of the mosquito gut microbiota. RESULTS: A clear discrimination between cells and debris, as well as between live and dead cells was achieved when the midgut homogenate was subjected to staining with 5 × 103 dilution of the SGI and 30 μM concentration of the PI. Reproducibly, FCM event collections produced discrete populations including non-fluorescent cells, SYBR positive cells, PI fluorescing cells and cells that fluoresce both in SYBR and PI, all these cell populations representing, respectively, background noise, live bacterial, dead cells and inactive cells with partial permeability to PI. The FCM produced a strong linear relationship between cell counts and their corresponding dilution factors (R(2) = 0.987), and the technique has a better precision compared to qRT-PCR. The FCM count of the microbiota reached a peak load at 18 h post-feeding and started declining at 24 h. The present FCM technique also successfully applied to quantify bacterial cells in fixed midgut samples that were homogenized in 4 % PFA. CONCLUSION: The FCM technique described here offers enormous potential and possibilities of integration with advanced molecular biochemical techniques for the study of the microbiota community in disease vector mosquitoes. BioMed Central 2016-03-22 /pmc/articles/PMC4802834/ /pubmed/27004717 http://dx.doi.org/10.1186/s13071-016-1438-0 Text en © Habtewold et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Habtewold, Tibebu
Duchateau, Luc
Christophides, George K.
Flow cytometry analysis of the microbiota associated with the midguts of vector mosquitoes
title Flow cytometry analysis of the microbiota associated with the midguts of vector mosquitoes
title_full Flow cytometry analysis of the microbiota associated with the midguts of vector mosquitoes
title_fullStr Flow cytometry analysis of the microbiota associated with the midguts of vector mosquitoes
title_full_unstemmed Flow cytometry analysis of the microbiota associated with the midguts of vector mosquitoes
title_short Flow cytometry analysis of the microbiota associated with the midguts of vector mosquitoes
title_sort flow cytometry analysis of the microbiota associated with the midguts of vector mosquitoes
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4802834/
https://www.ncbi.nlm.nih.gov/pubmed/27004717
http://dx.doi.org/10.1186/s13071-016-1438-0
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