The Midgut Muscle Network of<i>Anopheles aquasalis</i>(Culicidae, Anophelinae): Microanatomy and Structural Modification After Blood Meal and<i>Plasmodium vivax</i>(Haemosporida, Plasmodiidae) Infection

Baía-da-Silva, Djane Clarys; Orfanó, Alessandra S; Nacif-Pimenta, Rafael; Melo, Fabrício Freire de; Simões, S. D. V.; Cabral, Iria; Lacerda, Marcus Vinícius Guimarães; Guerra, Maria das Graças Vale Barbosa; Monteiro, Wuelton Marcelo; Secundino, Nágila Francinete Costa; Pimenta, Paulo Filemon Paolucci

doi:10.1093/jme/tjy199

Cited by 4 publications

(3 citation statements)

References 32 publications

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“…Through this process, the mosquito is infectious and can transmit the pathogen. However, the mosquito midgut has factors that might impede successful transmission of the pathogen and also affect the biology of the host (Wang et al, 2011;Baia-da-Silva et al, 2019). These factors include components of the mosquito innate immune system, such as lectins, bacteria-derived cytolysins (hemolysins), antimicrobial peptides, peroxidase, proteases, digestive enzymes, secondary metabolites, nitric oxide, and prophenoloxidase (Ramirez et al, 2012;Sim et al, 2014;Wang et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Comparative Analysis of the Gut Microbiota of Adult Mosquitoes From Eight Locations in Hainan, China

Kang

Wang

et al. 2020

Front. Cell. Infect. Microbiol.

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The midgut microbial community composition, structure, and function of field-collected mosquitoes may provide a way to exploit microbial function for mosquito-borne disease control. However, it is unclear how adult mosquitoes acquire their microbiome, how the microbiome affects life history traits and how the microbiome influences community structure. We analyzed the composition of 501 midgut bacterial communities from field-collected adult female mosquitoes, including Aedes albopictus, Aedes galloisi, Culex pallidothorax, Culex pipiens, Culex gelidus, and Armigeres subalbatus, across eight habitats using the HiSeq 4000 system and the V3−V4 hyper-variable region of 16S rRNA gene. After quality filtering and rarefaction, a total of 1421 operational taxonomic units, belonging to 29 phyla, 44 families, and 43 genera were identified. Proteobacteria (75.67%) were the most common phylum, followed by Firmicutes (10.38%), Bacteroidetes (6.87%), Thermi (4.60%), and Actinobacteria (1.58%). The genera Rickettsiaceae (33.00%), Enterobacteriaceae (20.27%), Enterococcaceae (7.49%), Aeromonadaceae (7.00%), Thermaceae (4.52%), and Moraxellaceae (4.31%) were dominant in the samples analyzed and accounted for 76.59% of the total genera. We characterized the midgut bacterial communities of six mosquito species in Hainan province, China. The gut bacterial communities were different in composition and abundance, among locations, for all mosquito species. There were significant differences in the gut microbial composition between some species and substantial variation in the gut microbiota between individuals of the same mosquito species. There was a marked variation in different mosquito gut microbiota within the same location. These results might be useful in the identification of microbial communities that could be exploited for disease control.

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Section: Introductionmentioning

confidence: 99%

Comparative Analysis of the Gut Microbiota of Adult Mosquitoes From Eight Locations in Hainan, China

Kang

Wang

et al. 2020

Front. Cell. Infect. Microbiol.

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“…This mosquito is easily maintained in the laboratory. Some studies have contributed to knowledge of its biology (Perez and Conn 1992; Conn et al 1993; Flores-Mendoza et al 1996; Maldonado et al 1997; Fairley et al 2002, 2005; Da Silva 2006) and its susceptibility to Plasmodium infections (Bahia et al 2010, 2011, 2013; Rios-Velásquez et al 2013; Pimenta et al 2015; Orfanó et al 2016a,b; Pinilla et al 2018; Martins-Campos et al 2018; Baia-da-Silva et al 2019). However, there are no morphological and structural studies of the midgut of this mosquito vector, which is surprising because the midgut is the first target of Plasmodium .…”

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confidence: 99%

Microanatomy of the American Malaria Vector Anopheles aquasalis (Diptera: Culicidae: Anophelinae) Midgut: Ultrastructural and Histochemical Observations

Baía-da-Silva

Orfanó

Nacif-Pimenta

et al. 2019

Journal of Medical Entomology

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The mosquito gut is divided into foregut, midgut, and hindgut. The midgut functions in storage and digestion of the bloodmeal. This study used light, scanning (SEM), and transmission (TEM) electron microscopy to analyze in detail the microanatomy and morphology of the midgut of nonblood-fed Anopheles aquasalis females. The midgut epithelium is a monolayer of columnar epithelial cells that is composed of two populations: microvillar epithelial cells and basal cells. The microvillar epithelial cells can be further subdivided into light and dark cells, based on their affinities to toluidine blue and their electron density. FITC-labeling of the anterior midgut and posterior midgut with lectins resulted in different fluorescence intensities, indicating differences in carbohydrate residues. SEM revealed a complex muscle network composed of circular and longitudinal fibers that surround the entire midgut. In summary, the use of a diverse set of morphological methods revealed the general microanatomy of the midgut and associated tissues of An. aquasalis, which is a major vector of Plasmodium spp. (Haemosporida: Plasmodiidae) in America.

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Section: Introductionmentioning

confidence: 99%

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The Midgut Muscle Network ofAnopheles aquasalis(Culicidae, Anophelinae): Microanatomy and Structural Modification After Blood Meal andPlasmodium vivax(Haemosporida, Plasmodiidae) Infection

Cited by 4 publications

References 32 publications

Comparative Analysis of the Gut Microbiota of Adult Mosquitoes From Eight Locations in Hainan, China

Comparative Analysis of the Gut Microbiota of Adult Mosquitoes From Eight Locations in Hainan, China

Microanatomy of the American Malaria Vector Anopheles aquasalis (Diptera: Culicidae: Anophelinae) Midgut: Ultrastructural and Histochemical Observations

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