Nature CommunicationsGenomicsPeer-reviewed journal article
Population genomics of ancient and modern Trichuris trichiura
Stephen R. DoyleiD, Martin Jensen SøeiD, Peter Lindberg NejsumiD, Martha BetsoniD, Philip John CooperiD, Lifei Peng, Xing‐Quan ZhuiD, Ana Lourdes SancheziD, Gabriela MatamorosiD, Gustavo Adolfo FontechaiD, Cristina CutillasiD, Louis-Albert Tchuem TchuentéiD, Zeleke MekonneniD, Shaali M. Ame, Harriet Namwanje, Bruno LeveckeiD, Matthew BerrimaniD, Brian Lund FredensborgiD, Christian M. O. KapeliD
Abstract
The neglected tropical disease trichuriasis is caused by the whipworm Trichuris trichiura, a soil-transmitted helminth that has infected humans for millennia. Today, T. trichiura infects as many as 500 million people, predominantly in communities with poor sanitary infrastructure enabling sustained faecal-oral transmission. Using whole-genome sequencing of geographically distributed worms collected from human and other primate hosts, together with ancient samples preserved in archaeologically-defined latrines and deposits dated up to one thousand years old, we present the first population genomics study of T. trichiura. We describe the continent-scale genetic structure between whipworms infecting humans and baboons relative to those infecting other primates. Admixture and population demographic analyses support a stepwise distribution of genetic variation that is highest in Uganda, consistent with an African origin and subsequent translocation with human migration. Finally, genome-wide analyses between human samples and between human and non-human primate samples reveal local regions of genetic differentiation between geographically distinct populations. These data provide insight into zoonotic reservoirs of human-infective T. trichiura and will support future efforts toward the implementation of genomic epidemiology of this globally important helminth.
- organism: human
- organism: non-human primate
- assay: whole-genome sequencing
- research focus: genome assembly
- research focus: variant calling
- research focus: phylogenetics / evolution
- approach: statistical model
- Citations
- 43
- FWCI
- 7.15
- Field percentile
- top 1%
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