Mitonuclear genomics challenges the theory of clonality in Trypanosoma congolense: reply to Tibayrenc and Ayala

Frederik Van den Broeck, Lisse J M Tavernier, Lieve Vermeiren, Jean-Claude Dujardin, Jan Van Den Abbeele

Research output: Contribution to journalA1: Web of Science-article

Abstract

We recently published the first genomic diversity study of Trypanosoma congolense, a major aetiological agent of Animal African Trypanosomiasis. We demonstrated striking levels of SNP and indel diversity in the Eastern province of Zambia as a consequence of hybridization between divergent trypanosome lineages. We concluded that these and earlier findings in T. congolense challenge the predominant clonal evolution (PCE) model. In a recent comment, Tibayrenc and Ayala claim that there are many features in T. congolense supporting their theory of clonality. While we can follow the reasoning of the authors, we also identify major limitations in their theory and interpretations that resulted in incorrect conclusions. First, we argue that each T. congolense subgroup should be analysed independently as they may represent different (sub)species rather than "near-clades". Second, the authors neglect major findings of two robust population genetic studies on Savannah T. congolense that provide clear evidence of frequent recombination. Third, we reveal additional events of introgressive hybridization in T. congolense by analysing the maxicircle coding region using next-generation sequencing analyses. At last, we pinpoint two important misinterpretations by the authors and show that there are no spatially and temporally widespread clones in T. congolense. We stand by our earlier conclusions that the clonal framework is unlikely to accurately model the population structure of T. congolense. Other theoretical frameworks such as Maynard Smith's epidemic model may better represent the complex ancestry seen in T. congolense, where clones delimited in space and time arise against a background of recombination.

Original languageEnglish
JournalMolecular Ecology
Volume27
Issue number17
Pages (from-to)3425-3431
Number of pages7
ISSN0962-1083
DOIs
Publication statusPublished - 2018

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