ArticleG3 (Bethesda, Md.)2016
Patterns of Genome-Wide Variation in Glossina fuscipes fuscipes Tsetse Flies from Uganda.
Article in G3 (Bethesda, Md.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- New tsetse (Glossina fuscipes fuscipes) genomes generated from wild and laboratory-reared specimens.Insect science · 2025Article
- Genomic evidence of sex chromosome aneuploidy and infection-associated genotypes in the tsetse fly Glossina fuscipes, the major vector of African trypanosomiasis in Uganda.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2023Article
- Complex interplay of evolutionary forces shaping population genomic structure of invasive Aedes albopictus in southern Europe.PLoS neglected tropical diseases · 2019Article
- The population genomics of multiple tsetse fly (Glossina fuscipes fuscipes) admixture zones in Uganda.Molecular ecology · 2019Article
- Enhancing vector refractoriness to trypanosome infection: achievements, challenges and perspectives.BMC microbiology · 2018Article
- Uncovering Genomic Regions Associated withG3 (Bethesda, Md.) · 2018Article
- Population genomics of the Asian tiger mosquito,Ecology and evolution · 2017Article
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Authors and funding
10 authors.
Funding
Abstract
The tsetse fly Glossina fuscipes fuscipes (Gff) is the insect vector of the two forms of Human African Trypanosomiasis (HAT) that exist in Uganda. Understanding Gff population dynamics, and the underlying genetics of epidemiologically relevant phenotypes is key to reducing disease transmission. Using ddRAD sequence technology, complemented with whole-genome sequencing, we developed a panel of ∼73,000 single-nucleotide polymorphisms (SNPs) distributed across the Gff genome that can be used for population genomics and to perform genome-wide-association studies. We used these markers to estimate genomic patterns of linkage disequilibrium (LD) in Gff, and used the information, in combination with outlier-locus detection tests, to identify candidate regions of the genome under selection. LD in individual populations decays to half of its maximum value (r(2) max/2) between 1359 and 2429 bp. The overall LD estimated for the species reaches r(2) max/2 at 708 bp, an order of magnitude slower than in Drosophila Using 53 infected (Trypanosoma spp.) and uninfected flies from four genetically distinct Ugandan populations adapted to different environmental conditions, we were able to identify SNPs associated with the infection status of the fly and local environmental adaptation. The extent of LD in Gff likely facilitated the detection of loci under selection, despite the small sample size. Furthermore, it is probable that LD in the regions identified is much higher than the average genomic LD due to strong selection. Our results show that even modest sample sizes can reveal significant genetic associations in this species, which has implications for future studies given the difficulties of collecting field specimens with contrasting phenotypes for association analysis.
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