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Githinji, G.

Publications and source records attributed to Githinji, G..

2 recordsLinked to original sources

The complete mitochondrial genome of Tunga penetrans and insights into flea phylogeny

Tungiasis, one of the oldest and most neglected tropical diseases endemic to sub-Saharan Africa and the Americas, is caused by the female parasitic flea, Tunga penetrans. The flea burrows into the skin, leading to acute and chronic inflammation, often exacerbated by bacterial superinfection. Despite its significant public health impact, genomic studies on T. penetrans are scarce. Here, we present the first complete mitochondrial genome of T. penetrans, comprising 17,279 base pairs and encoding 13 protein-coding genes, 22 transfer RNAs and 2 ribosomal RNAs. Phylogenetic analysis of the cox2 gene revealed a divergent basal lineage from Brazil, supporting a South American origin of T. penetrans and highlights genetic differentiation within the Americas. Clustering of the Ecuadorian and African isolates further suggests historical connections, likely linked to transatlantic maritime trade. The tree highlights a strong South American origin and evidence of migration and diversification, facilitated by human and animal movement. Phylogenetic analysis of the complete genomes relying on the protein-coding genes of other fleas revealed that T. penetrans is closely related to Dorcadia ioffi, a semi-sessile flea of goats and sheep in China. This mitochondrial genome provides a critical resource for future studies on molecular epidemiology, evolutionary history, and control of tungiasis.

genomics↗

Assessing the utility of minority variant composition in elucidating RSV transmission pathways

Reconstructing transmission pathways and defining the underlying determinants of virus diversity is critical for developing effective control measures. Whole genome consensus sequences represent the dominant virus subtype which does not provide sufficient information to resolve transmission events for rapidly spreading viruses with overlapping generations. We explored whether the within-host diversity of respiratory syncytial virus quantified from deep sequence data provides additional resolution to inform on who acquires infection from whom based on shared minor variants in samples that comprised epidemiological clusters and that shared similar genetic background. We report that RSV-A infections are characterized by low frequency diversity that occurs across the genome. Shared minor variant patterns alone, were insufficient to elucidate transmission chains within household members. However, they provided inference on potential transmission links where phylogenetic methods were uninformative of transmission when consensus sequences were identical. Interpretation of minor variant patterns was tractable only for small household outbreaks.

epidemiology↗