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James P. J. Hall

Publications and source records attributed to James P. J. Hall.

2 recordsLinked to original sources

Heterogeneity drives plasmid maintenance in large microbial communities

Microbiomes are complex systems comprised of many interacting species. Species can survive harsh or changing conditions by rapid adaptation, a process accelerated by the exchange of genetic material between different species through horizontal gene transfer. Conjugative plasmids are ubiquitous mobile genetic elements that mediate such exchanges both within and between species. Therefore, predicting whether a plasmid can invade and be maintained by a microbial community is critical, for example when assessing the risks of antimicrobial resistance gene spread in commensal or environmental microbiomes. However, existing theory developed to assist such predictions has generally focused on the balance among plasmid costs, benefits, and infection rates, overlooking other relevant factors such as the inherent dynamics and diversity of microbiomes. Here, we hypothesize that plasmid persistence in the absence of positive selection can arise purely from the heterogeneity present in large and diverse microbial communities. We introduce a generic model that integrates population-level dynamics with plasmid conjugation. Using this model, we show that we can predict plasmid maintenance, and that the probability for a plasmid to be maintained depends on traits of the plasmid, most importantly the conjugation rate, and the species abundance distribution of the community. Then, using both empirical abundance data and extensive numerical simulations, we demonstrate that the inherent randomness of ecological interactions and conjugation rates enables plasmid persistence -- even in the absence of positive selection. Our findings thus suggest that natural microbial communities are likely to maintain plasmids indefinitely, offering a new perspective on the spread, maintenance, and ubiquity of plasmids.

q-bio.PE↗

Identifying the genetic basis of antigenic change in influenza A(H1N1)

Determining phenotype from genetic data is a fundamental challenge. Influenza A viruses undergo rapid antigenic drift and identification of emerging antigenic variants is critical to the vaccine selection process. Using former seasonal influenza A(H1N1) viruses, hemagglutinin sequence and corresponding antigenic data were analyzed in combination with 3-D structural information. We attributed variation in hemagglutination inhibition to individual amino acid substitutions and quantified their antigenic impact, validating a subset experimentally using reverse genetics. Substitutions identified as low-impact were shown to be a critical component of influenza antigenic evolution and by including these, as well as the high-impact substitutions often focused on, the accuracy of predicting antigenic phenotypes of emerging viruses from genotype was doubled. The ability to quantify the phenotypic impact of specific amino acid substitutions should help refine techniques that predict the fitness and evolutionary success of variant viruses, leading to stronger theoretical foundations for selection of candidate vaccine viruses.

q-bio.PE↗