Danesh, G. | Search bioRxiv

bioRxiv2019

Quantifying transmission dynamics of acute hepatitis C virus infections in men having sex with men using phylodynamics

Opioid substitution and syringes exchange programs have drastically reduced hepatitis C virus (HCV) spread in France but HCV sexual transmission in men having sex with men (MSM) has recently arisen as a significant public health concern. The fact that the virus is transmitting in a heterogeneous population, with new and classical hosts, makes prevalence and incidence rates poorly informative. However, additional insights can be gained by analyzing virus phylogenies inferred from dated genetic sequence data. By combining a phylodynamics approach based on Approximate Bayesian Computation (ABC) and an original transmission model, we estimate key epidemiological parameters of an ongoing HCV epidemic among MSMs in Lyon (France). We show that this new epidemic is largely independent of the classical HCV epidemics and that its doubling time is ten times lower (0.44 years versus 4.37 years). These results have practical implications for HCV control and illustrate the additional information provided by virus genomics in public health.

evolutionary biology↗

bioRxiv2019

Bacterial transformation buffers environmental fluctuations through the reversible integration of mobile genetic elements

Horizontal gene transfer (HGT) is known to promote the spread of genes in bacterial communities, which is of primary importance to human health when these genes provide resistance to antibiotics. Among the main HGT mechanisms, natural transformation stands out as being widespread and encoded by the bacterial core genome. From an evolutionary perspective, transformation is often viewed as a mean to generate genetic diversity and mixing within bacterial populations. However, another recent paradigm proposes that its main evolutionary function would be to cure bacterial genomes from their parasitic mobile genetic elements (MGEs). Here, we propose to combine these two seemingly opposing points of view because MGEs, although costly for bacterial cells, can carry functions that are point-in-time beneficial to bacteria under stressful conditions (e.g. antibiotic resistance genes under antibiotic exposure). Using computational modeling, we show that, in stochastic environments (unpredictable stress exposure), an intermediate transformation rate maximizes bacterial fitness by allowing the reversible integration of MGEs carrying resistance genes but costly for the replication of host cells. By ensuring such reversible genetic diversification (acquisition then removal of MGEs), transformation would be a key mechanism for stabilizing the bacterial genome in the long term, which would explain its striking conservation.

microbiology↗