Identification of the midgut microbiota of An. stephensi and An. maculipennis for their application as a paratransgenic tool against malaria.

The midgut microbiota associated with Anopheles stephensi and Anopheles maculipennis (Diptera: Culicidae) was investigated for development of a paratransgenesis-based approach to control malaria transmission in Eastern Mediterranean Region (EMR). Here, we present the results of a polymerase chain re...

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Main Authors: Navid Dinparast Djadid, Hoda Jazayeri, Abbasali Raz, Guido Favia, Ignacio Ricci, Sedigheh Zakeri
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2011-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3232223?pdf=render
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author Navid Dinparast Djadid
Hoda Jazayeri
Abbasali Raz
Guido Favia
Ignacio Ricci
Sedigheh Zakeri
author_facet Navid Dinparast Djadid
Hoda Jazayeri
Abbasali Raz
Guido Favia
Ignacio Ricci
Sedigheh Zakeri
author_sort Navid Dinparast Djadid
collection DOAJ
description The midgut microbiota associated with Anopheles stephensi and Anopheles maculipennis (Diptera: Culicidae) was investigated for development of a paratransgenesis-based approach to control malaria transmission in Eastern Mediterranean Region (EMR). Here, we present the results of a polymerase chain reaction (PCR) and biochemical-based approaches to identify the female adult and larvae mosquitoe microbiota of these two major malaria vectors, originated from South Eastern and North of Iran. Plating the mosquito midgut contents from lab-reared and field-collected Anopheles spp. was used for microbiota isolation. The gram-negative and gram-positive bacterial colonies were identified by Gram staining and specific mediums. Selected colonies were identified by differential biochemical tests and 16S rRNA gene sequence analysis. A number of 10 An. stephensi and 32 An. maculipennis adult mosquitoes and 15 An. stephensi and 7 An. maculipennis larvae were analyzed and 13 sequences of 16S rRNA gene bacterial species were retrieved, that were categorized in 3 classes and 8 families. The majority of the identified bacteria were belonged to the γ-proteobacteria class, including Pseudomonas sp. and Aeromonas sp. and the others were some closely related to those found in other vector mosquitoes, including Pantoea, Acinetobacter, Brevundimonas, Bacillus, Sphingomonas, Lysinibacillus and Rahnella. The 16S rRNA sequences in the current study aligned with the reference strains available in GenBank were used for construction of the phylogenetic tree that revealed the relatedness among the bacteria identified. The presented data strongly encourage further investigations, to verify the potential role of the detected bacteria for the malaria control in Iran and neighboring countries.
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spelling doaj.art-13307ce9b0174ac790f3721ef831bfd22022-12-22T03:46:58ZengPublic Library of Science (PLoS)PLoS ONE1932-62032011-01-01612e2848410.1371/journal.pone.0028484Identification of the midgut microbiota of An. stephensi and An. maculipennis for their application as a paratransgenic tool against malaria.Navid Dinparast DjadidHoda JazayeriAbbasali RazGuido FaviaIgnacio RicciSedigheh ZakeriThe midgut microbiota associated with Anopheles stephensi and Anopheles maculipennis (Diptera: Culicidae) was investigated for development of a paratransgenesis-based approach to control malaria transmission in Eastern Mediterranean Region (EMR). Here, we present the results of a polymerase chain reaction (PCR) and biochemical-based approaches to identify the female adult and larvae mosquitoe microbiota of these two major malaria vectors, originated from South Eastern and North of Iran. Plating the mosquito midgut contents from lab-reared and field-collected Anopheles spp. was used for microbiota isolation. The gram-negative and gram-positive bacterial colonies were identified by Gram staining and specific mediums. Selected colonies were identified by differential biochemical tests and 16S rRNA gene sequence analysis. A number of 10 An. stephensi and 32 An. maculipennis adult mosquitoes and 15 An. stephensi and 7 An. maculipennis larvae were analyzed and 13 sequences of 16S rRNA gene bacterial species were retrieved, that were categorized in 3 classes and 8 families. The majority of the identified bacteria were belonged to the γ-proteobacteria class, including Pseudomonas sp. and Aeromonas sp. and the others were some closely related to those found in other vector mosquitoes, including Pantoea, Acinetobacter, Brevundimonas, Bacillus, Sphingomonas, Lysinibacillus and Rahnella. The 16S rRNA sequences in the current study aligned with the reference strains available in GenBank were used for construction of the phylogenetic tree that revealed the relatedness among the bacteria identified. The presented data strongly encourage further investigations, to verify the potential role of the detected bacteria for the malaria control in Iran and neighboring countries.http://europepmc.org/articles/PMC3232223?pdf=render
spellingShingle Navid Dinparast Djadid
Hoda Jazayeri
Abbasali Raz
Guido Favia
Ignacio Ricci
Sedigheh Zakeri
Identification of the midgut microbiota of An. stephensi and An. maculipennis for their application as a paratransgenic tool against malaria.
PLoS ONE
title Identification of the midgut microbiota of An. stephensi and An. maculipennis for their application as a paratransgenic tool against malaria.
title_full Identification of the midgut microbiota of An. stephensi and An. maculipennis for their application as a paratransgenic tool against malaria.
title_fullStr Identification of the midgut microbiota of An. stephensi and An. maculipennis for their application as a paratransgenic tool against malaria.
title_full_unstemmed Identification of the midgut microbiota of An. stephensi and An. maculipennis for their application as a paratransgenic tool against malaria.
title_short Identification of the midgut microbiota of An. stephensi and An. maculipennis for their application as a paratransgenic tool against malaria.
title_sort identification of the midgut microbiota of an stephensi and an maculipennis for their application as a paratransgenic tool against malaria
url http://europepmc.org/articles/PMC3232223?pdf=render
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