Back

Inferring patterns of recombination and divergence with ancient and modern treponemal genomes

Akguel, G.; Pla-Diaz, M.; Molak, M.; du Plessis, L.; Panagiotopoulou, H.; Doan, K.; Bogdanowicz, W.; Oziemblowski, M.; Grzelak, J.; Arora, N.; Gonzalez-Candelas, F.; Majander, K.; Schuenemann, V.

2023-02-09 microbiology
10.1101/2023.02.08.526988 bioRxiv
Show abstract

BackgroundTreponemal diseases pose significant global health risks, presenting severe challenges to public health due to their serious health impacts if left untreated. Despite numerous genomic studies on Treponema pallidum and the known possible biases introduced by the choice of the reference genome used for mapping, few investigations have addressed how these biases affect phylogenetic and evolutionary analysis of these bacteria. In this study, we assessed the impact of selecting an appropriate genomic reference on phylogenetic and evolutionary analyses of T. pallidum. ResultsWe designed a multiple-reference-based (MRB) mapping strategy using four different reference genomes and compared it to traditional single-reference mapping. To conduct this comparison, we created a genomic dataset comprising 77 modern and ancient genomes from the three subspecies of T. pallidum, including a newly sequenced 17th-century genome (35X coverage) of a syphilis-causing strain (designated as W86). Our findings show that recombination detection was consistent across different references, but the choice of reference significantly affected ancient genome reconstruction and phylogenetic inferences. The high-coverage W86 genome obtained here also provided a new calibration point for Bayesian molecular clock dating, improving the reconstruction of the evolutionary history of treponemal diseases. Additionally, we identified novel recombination events, positive selection targets, and refined dating estimates for key events in the species history. ConclusionsThis study highlights the importance of considering methodological implications and reference genome bias in High-Throughput Sequencing-based whole-genome analysis of T. pallidum, especially of ancient or low-coverage samples, contributing to a deeper understanding of this pathogen and its subspecies.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.