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      The Midgut Microbiota of Colombian Aedes aegypti Populations with Different Levels of Resistance to the Insecticide Lambda-cyhalothrin

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          Abstract

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          Aedes aegypti is a mosquito capable of transmitting many viral diseases such as dengue, Zika, and chikungunya. Since no effective treatments are available for these viruses, eliminating the mosquito with insecticides is vital to combat these diseases. However, the mosquito can generate resistance to the insecticide by changing its genes or its physiology. It has been recognized that the type of bacteria that live inside the mosquito’s gut can contribute to this resistance. In this study, we evaluated Ae. aegypti mosquitoes from six locations in Colombia to determine if they are resistant to lambda-cyhalothrin insecticide, and we analyze their gut microbiota. We observed resistance in five of the six areas. We compared the gut microbiota from susceptible and resistant mosquitoes and found specific bacteria in resistant mosquitoes that may play a role in insecticide resistance. Overall, our findings contribute to the understanding of insecticide resistance in Ae. aegypti that will generate alternatives for interventions to control this mosquito in Colombia.

          Abstract

          Insecticide resistance in Aedes aegypti populations is a problem that hinders vector control and dengue prevention programs. In this study, we determined the susceptibility of Ae. aegypti populations from six Colombian regions to the pyrethroid lambda-cyhalothrin and evaluated the presence of the V1016I mutation in the sodium channel gene, which has been broadly involved in the resistance to this insecticide. The diversity of the gut microbiota of these mosquito populations was also analyzed. Only mosquitoes from Bello were susceptible to lambda-cyhalothrin and presented a lower allelic frequency of the V1016I mutation. Remarkably, there was not an important change in allelic frequencies among populations with different resistance ratios, indicating that other factors or mechanisms contributed to the resistant phenotype. Treatment of mosquitoes with antibiotics led us to hypothesize that the intestinal microbiota could contribute to the resistance to lambda-cyhalothrin. Beta diversity analysis showed significant differences in the species of bacteria present between susceptible and resistant populations. We identified 14 OTUs of bacteria that were unique in resistant mosquitoes. We propose that kdr mutations are important in the development of resistance to lambda-cyhalothrin at low insecticide concentrations but insect symbionts could play an essential role in the metabolization of pyrethroid insecticides at higher concentrations, contributing to the resistant phenotype in Ae. aegypti.

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          DADA2: High resolution sample inference from Illumina amplicon data

          We present DADA2, a software package that models and corrects Illumina-sequenced amplicon errors. DADA2 infers sample sequences exactly, without coarse-graining into OTUs, and resolves differences of as little as one nucleotide. In several mock communities DADA2 identified more real variants and output fewer spurious sequences than other methods. We applied DADA2 to vaginal samples from a cohort of pregnant women, revealing a diversity of previously undetected Lactobacillus crispatus variants.
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            Ultra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platforms

            DNA sequencing continues to decrease in cost with the Illumina HiSeq2000 generating up to 600 Gb of paired-end 100 base reads in a ten-day run. Here we present a protocol for community amplicon sequencing on the HiSeq2000 and MiSeq Illumina platforms, and apply that protocol to sequence 24 microbial communities from host-associated and free-living environments. A critical question as more sequencing platforms become available is whether biological conclusions derived on one platform are consistent with what would be derived on a different platform. We show that the protocol developed for these instruments successfully recaptures known biological results, and additionally that biological conclusions are consistent across sequencing platforms (the HiSeq2000 versus the MiSeq) and across the sequenced regions of amplicons.
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              The global distribution and burden of dengue

              Dengue is a systemic viral infection transmitted between humans by Aedes mosquitoes 1 . For some patients dengue is a life-threatening illness 2 . There are currently no licensed vaccines or specific therapeutics, and substantial vector control efforts have not stopped its rapid emergence and global spread 3 . The contemporary worldwide distribution of the risk of dengue virus infection 4 and its public health burden are poorly known 2,5 . Here we undertake an exhaustive assembly of known records of dengue occurrence worldwide, and use a formal modelling framework to map the global distribution of dengue risk. We then pair the resulting risk map with detailed longitudinal information from dengue cohort studies and population surfaces to infer the public health burden of dengue in 2010. We predict dengue to be ubiquitous throughout the tropics, with local spatial variations in risk influenced strongly by rainfall, temperature and the degree of urbanisation. Using cartographic approaches, we estimate there to be 390 million (95 percent credible interval 284-528) dengue infections per year, of which 96 million (67-136) manifest apparently (any level of clinical or sub-clinical severity). This infection total is more than three times the dengue burden estimate of the World Health Organization 2 . Stratification of our estimates by country allows comparison with national dengue reporting, after taking into account the probability of an apparent infection being formally reported. The most notable differences are discussed. These new risk maps and infection estimates provide novel insights into the global, regional and national public health burden imposed by dengue. We anticipate that they will provide a starting point for a wider discussion about the global impact of this disease and will help guide improvements in disease control strategies using vaccine, drug and vector control methods and in their economic evaluation. [285]
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                Author and article information

                Journal
                Insects
                Insects
                insects
                Insects
                MDPI
                2075-4450
                01 September 2020
                September 2020
                : 11
                : 9
                : 584
                Affiliations
                [1 ]Group Biología y Control de Enfermedades Infecciosas, Universidad de Antioquia, Calle 70 No. 52-21, Medellín 050010, Colombia; aarevalocortes@ 123456gmail.com (A.A.-C.); maria.mejia3@ 123456udea.edu.co (A.M.M.-J.); eresbey2@ 123456gmail.com (Y.G.)
                [2 ]Centre for Cell Biology, Development, and Disease, Department of Biological Sciences, Simon Fraser University, 8888 University Drive, Burnaby, BC V5A 1S6, Canada; hcoatswo@ 123456sfu.ca (H.C.); clowenbe@ 123456sfu.ca (C.L.)
                Author notes
                [* ]Correspondence: omar.triana@ 123456udea.edu.co ; Tel.: +57-4-219-6520
                Author information
                https://orcid.org/0000-0003-2125-9858
                https://orcid.org/0000-0003-3865-394X
                https://orcid.org/0000-0001-8031-0225
                Article
                insects-11-00584
                10.3390/insects11090584
                7565445
                32882829
                aa806ebe-eb89-4e51-88f8-cab572e4311a
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 14 July 2020
                : 24 August 2020
                Categories
                Article

                aedes aegypti,microbiome,lambda-cyhalothrin,insecticide resistance

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