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Abuelmaali, S. A.

Publications and source records attributed to Abuelmaali, S. A..

2 recordsLinked to original sources

Impact of Sugar-Based Baits on Midgut Microbiome Composition in Aedes Mosquitoes: Implications for Vector Control

Many severe mosquito-borne diseases are transmitted by the Aedes sp. mosquitoes. Control efforts have been strengthened by the implementation of novel integrated vector management techniques such as alginate hydrogel beads and appealing toxic sugar bait. These techniques help to control mosquitoes by taking advantage of their attraction to sugar. Different types of sugar that mosquitoes ingest during feeding can affect the makeup of microbiome in the midgut. Immune priming and baseline immune activity are maintained by mosquito midgut microbiome. Thus, this study is currently focusing on using microbial communities for vector control measures with a particular emphasis on how they consume various forms of sugar. Both wild and lab strain Ae. aegypti and Ae. albopictus mosquito samples were reared and fed with attractive targeted sugar baits (ATSBs) infused with Chrysanthemum, mango, mix and control solutions. Then, the impact on bacterial communities was assessed by using 16S rRNA gene sequences. According to our findings, the majority of the bacterial species in mango and mix treatments belonged to the Enterobacteriaceae family. A total of 24 various bacterial species were found in Aedes mosquitoes that fed on mango ATSBs. All isolates were members of three phyla from Actinobacteria (4.16%), Firmicutes (54.17%), and Proteobacteria (41.67%). Data reveals that different species, strains and diet affect the midgut bacterial diversity in the mosquitoes. In addition to improving our knowledge concerning the way this bacterium shapes the microbial community, a thorough investigation of the prevalence of the midgut bacterial community is essential for alerting present and future mosquito and disease control initiatives.

molecular biology↗

Analysis-ready datasets for insecticide resistance phenotype and genotype frequency in African malaria vectors

The impact of insecticide resistance in malaria vectors is poorly understood and quantified. Here a series of geospatial datasets for insecticide resistance in malaria vectors are provided so that trends in resistance in time and space can be quantified and the impact of resistance found in wild populations on malaria transmission in Africa can be assessed. Data are also provided for common genetic markers of resistance to support analyses of whether these genetic data can improve the ability to monitor resistance in low resource settings. Specifically, data have been collated and geopositioned for the prevalence of insecticide resistance, as measured by standard bioassays, in representative samples of individual species or species complexes. Data are provided for the Anopheles gambiae species complex, the Anopheles funestus subgroup, and for nine individual vector species. In addition, allele frequencies for known resistance associated markers in the Voltage-gated sodium channel (Vgsc) are provided. In total, eight analysis-ready, standardised, geopositioned datasets encompassing over 20,000 African mosquito collections between 1957 and 2017 are provided.

zoology↗