Insights into the epigenomic landscape of the human malaria vector Anopheles gambiae

Abstract We present a genetic map based on microsatellite polymorphisms for the African human malaria vector, Anopheles gambiae. Polymorphisms in laboratory strains were detected for 89% of the tested microsatellite markers. Genotyping was performed for individual mosquitoes from 13 backcross families that included 679 progeny. Three linkage groups were identified, corresponding to the three chromosomes. We added 22 new markers to the existing X chromosome map, for a total of 46 microsatellite markers spanning a distance of 48.9 cM. The second chromosome has 57 and the third 28 microsatellite markers spanning a distance of 72.4 and 93.7 cM, respectively. The overall average distance between markers is 1.6 cM (or 1.1, 1.2, and 3.2 cM for the X, second, and third chromosomes, respectively). In addition to the 131 microsatellite markers, the current map also includes a biochemical selectable marker, Dieldrin resistance (Dl), on the second chromosome and five visible markers, pink-eye (p) and white (w) on the X, collarless (c) and lunate (lu) on the second, and red-eye (r) on the third. The cytogenetic locations on the nurse cell polytene chromosomes have been determined for 47 markers, making this map an integrated tool for cytogenetic, genetic, and molecular analysis.

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Faculty Opinions recommendation of Complement-like protein TEP1 is a determinant of vectorial capacity in the malaria vector Anopheles gambiae.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1019037.215573 ◽

2004 ◽

Author(s):

Emanuela Handman

Keyword(s):

Anopheles Gambiae ◽

Malaria Vector ◽

Vectorial Capacity

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Faculty Opinions recommendation of Viral paratransgenesis in the malaria vector Anopheles gambiae.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1120307.576477 ◽

2008 ◽

Author(s):

Sara Cherry

Keyword(s):

Anopheles Gambiae ◽

Malaria Vector

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The regulatory genome of the malaria vector Anopheles gambiae: integrating chromatin accessibility and gene expression

NAR Genomics and Bioinformatics ◽

10.1093/nargab/lqaa113 ◽

2021 ◽

Vol 3 (1) ◽

Author(s):

José L Ruiz ◽

Lisa C Ranford-Cartwright ◽

Elena Gómez-Díaz

Keyword(s):

Gene Expression ◽

Transcriptional Regulation ◽

Anopheles Gambiae ◽

Mosquito Control ◽

Regulatory Elements ◽

Chromatin Accessibility ◽

Malaria Vectors ◽

Specific Gene ◽

Mosquito Vector ◽

Human Malaria

Abstract Anopheles gambiae mosquitoes are primary human malaria vectors, but we know very little about their mechanisms of transcriptional regulation. We profiled chromatin accessibility by the assay for transposase-accessible chromatin by sequencing (ATAC-seq) in laboratory-reared A. gambiae mosquitoes experimentally infected with the human malaria parasite Plasmodium falciparum. By integrating ATAC-seq, RNA-seq and ChIP-seq data, we showed a positive correlation between accessibility at promoters and introns, gene expression and active histone marks. By comparing expression and chromatin structure patterns in different tissues, we were able to infer cis-regulatory elements controlling tissue-specific gene expression and to predict the in vivo binding sites of relevant transcription factors. The ATAC-seq assay also allowed the precise mapping of active regulatory regions, including novel transcription start sites and enhancers that were annotated to mosquito immune-related genes. Not only is this study important for advancing our understanding of mechanisms of transcriptional regulation in the mosquito vector of human malaria, but the information we produced also has great potential for developing new mosquito-control and anti-malaria strategies.

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Unravelling population structure heterogeneity within the genome of the malaria vector Anopheles gambiae

BMC Genomics ◽

10.1186/s12864-021-07722-y ◽

2021 ◽

Vol 22 (1) ◽

Author(s):

Melina Campos ◽

Luisa D. P. Rona ◽

Katie Willis ◽

George K. Christophides ◽

Robert M. MacCallum

Keyword(s):

Population Structure ◽

Anopheles Gambiae ◽

Malaria Vector ◽

Mosquito Species ◽

Gene Clusters ◽

Selective Sweeps ◽

Structure Heterogeneity ◽

Genomic Studies ◽

Time Required ◽

Genomic Regions

Abstract Background Whole genome re-sequencing provides powerful data for population genomic studies, allowing robust inferences of population structure, gene flow and evolutionary history. For the major malaria vector in Africa, Anopheles gambiae, other genetic aspects such as selection and adaptation are also important. In the present study, we explore population genetic variation from genome-wide sequencing of 765 An. gambiae and An. coluzzii specimens collected from across Africa. We used t-SNE, a recently popularized dimensionality reduction method, to create a 2D-map of An. gambiae and An. coluzzii genes that reflect their population structure similarities. Results The map allows intuitive navigation among genes distributed throughout the so-called “mainland” and numerous surrounding “island-like” gene clusters. These gene clusters of various sizes correspond predominantly to low recombination genomic regions such as inversions and centromeres, and also to recent selective sweeps. Because this mosquito species complex has been studied extensively, we were able to support our interpretations with previously published findings. Several novel observations and hypotheses are also made, including selective sweeps and a multi-locus selection event in Guinea-Bissau, a known intense hybridization zone between An. gambiae and An. coluzzii. Conclusions Our results present a rich dataset that could be utilized in functional investigations aiming to shed light onto An. gambiae s.l genome evolution and eventual speciation. In addition, the methodology presented here can be used to further characterize other species not so well studied as An. gambiae, shortening the time required to progress from field sampling to the identification of genes and genomic regions under unique evolutionary processes.

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