Akguel, G. | Search bioRxiv

bioRxiv2023

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

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.

microbiology↗

bioRxiv2021

Ancient mitogenomes unravel massive genetic diversity loss during near extinction of Alpine ibex

Population bottlenecks can have dramatic consequences for the health and long-term survival of a species. A recent bottleneck event can also largely obscure our understanding of standing variation prior to the contraction. Historic population sizes can be modeled based on extant genomics, however uncertainty increases with the severity of the bottleneck. Integrating ancient genomes provides a powerful complement to retrace the evolution of genetic diversity through population fluctuations. Here, we recover 15 high-quality mitogenomes of the once nearly extinct Alpine ibex spanning 8601 {+/-} 33 BP to 1919 CE and combine these with 60 published modern genomes. Coalescent demography simulations based on modern genomes indicate population fluctuations matching major climatic change over the past millennia. Using ancient genomes, we show that mitochondrial haplotype diversity has been reduced to a fifth of the pre-bottleneck diversity with several highly differentiated mitochondrial lineages having co-existed historically. The main collapse of mitochondrial diversity coincided with human settlement expansions in the Middle Ages. The near extinction severely reduced the mitochondrial diversity. After recovery, one lineage was spread and nearly fixed across the Alps due to recolonization efforts. Contrary to expectations, we show that a second ancestral mitochondrial lineage has survived in an isolated population further south. Our study highlights that a combined approach integrating genomic data of ancient, historic and extant populations unravels major long-term population fluctuations.

evolutionary biology↗