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Farjo, M.

Publications and source records attributed to Farjo, M..

4 recordsLinked to original sources

Longitudinal analysis of influenza A virus deletion-containing viral genomes reveals key determinants of co-evolutionary dynamics and interference

The substantial genetic diversity generated during influenza A virus replication facilitates both evasion of pre-existing host immunity and cross-species emergence. A major contributor to this diversity is the ubiquitous production of deletion-containing viral genomes (DelVGs) - viral RNAs with large internal deletions that arise during replication. DelVGs directly compete with wild-type (WT) genomes, and their accumulation has been implicated in modulating disease severity. However, the specific functional and genetic interactions between DelVGs and WT genomes remain poorly understood. To examine how DelVGs and WT genomes may co-evolve in mixed populations, we serially passaged influenza A virus under sustained high multiplicity-of-infection (MOI) conditions and used next-generation sequencing to build a longitudinal profile of DelVG emergence and dynamics. Early passages yielded a highly diverse repertoire of DelVGs across multiple segments, followed by a sharp contraction in overall diversity and the rise of one to two PB2-derived DelVGs that persisted at sustained high frequency. We identified a single-nucleotide substitution within PB2-derived DelVGs that significantly enhanced their replication and interference, whereas the same mutation proved lethal in the WT background. Collectively, these findings indicate that DelVGs are not mere byproducts of replication but dynamic genomic elements shaped by selection; their capacity to acquire adaptive mutations and outcompete WT genomes underscores their active role in shaping within-population viral dynamics.

microbiology↗

Phylogenetic relationships and the evolution of fin and body shape in the surgeonfishes

Insights into ecomorphology are enriched when investigating evolutionary correlations between ecologically and functionally important traits. However, tools currently available to model patterns of shape covariation limit researchers to either assume that trait covariances between taxa are independent of, or completely described by, their shared evolutionary history. Using a novel Pagels {lambda} adjustment to incorporate phylogenetic signal in trait covariance analysis, we aim to solve this long-standing problem in phylogenetic comparative methods and investigate ecological associations and evolutionary shape covariation in the ecologically and morphologically diverse case study of surgeonfishes (Acanthuridae). By revising acanthurid phylogenetic relationships and analyzing the geometric morphometrics of their body, head, and fins, we found that head and body shape were significantly associated with dietary ecotype. Surgeonfishes showed a significant negative correlation between caudal fin and pectoral fin shape; high/low aspect ratio (AR) tails are associated with low/high AR pectoral fins, respectively, suggesting locomotor tradeoffs. With our new approach to estimate the influence of phylogeny on trait covariances between taxa, we found the caudal fin covaried with both the body and pectoral fin due to dietary and locomotor demands, respectively and exhibited the highest evolutionary variance along the primary axis of integration in all trait covariance comparisons.

evolutionary biology↗

The fitness consequences of coinfection and reassortment for segmented viruses depend upon viral genetic structure

Cellular coinfection between multiple virions is a common feature of viral infections. The collective virus-virus interactions enabled by these coinfections can influence the fitness of viral populations and give rise to novel infection phenotypes. Multi-strain coinfections allow viral resources to be shared between multiple individuals, and enable genetic combination and recombination between genotypes, potentially giving rise to hybrid progeny with enhanced fitness. However, coinfection can also impose fitness costs in certain situations. For example, resource sharing among viruses can lead to the persistence of low-fitness genotypes, and reassortment between different strains can lead to negative inter-segment epistasis when genes are poorly matched to one another. Thus, the fitness implications of cellular coinfection are poorly defined and likely context dependent. To investigate the specific conditions that lead to positive or negative fitness consequences for multi-strain coinfections, we formulated a model in which different genotypes of a three-segment virus replicate under varying degrees of inter-strain mixing. We observed that increased mixing had negative fitness consequences under a variety of scenarios, and that this effect was exacerbated with increasing genetic divergence between strains. Inter-strain mixing only enhanced viral fitness (a) when positive genetic dominance interactions were at play, and (b) under very specific conditions of selective pressure. We also observed that reassortment arising from mixing could generate hybrid genotypes with higher fitness than either parental virus, but that these outcomes were relatively rare. Overall, using a model segmented virus, we found that the heterologous coinfection was deleterious under most conditions, suggesting that it may be beneficial for many viruses to limit the extent of cellular coinfection.

evolutionary biology↗

Within-host evolutionary dynamics and tissue compartmentalization during acute SARS-CoV-2 infection

The global evolution of SARS-CoV-2 depends in part upon the evolutionary dynamics within individual hosts with varying immune histories. To characterize the within-host evolution of acute SARS-CoV-2 infection, we deep sequenced saliva and nasal samples collected daily from immune and unvaccinated individuals early during infection. We show that longitudinal sampling facilitates high-confidence genetic variant detection and reveals evolutionary dynamics missed by less-frequent sampling strategies. Within-host dynamics in both naive and immune individuals appeared largely stochastic; however, we identified clear mutational hotspots within the viral genome, consistent with selection and differing between naive and immune individuals. In rare cases, minor genetic variants emerged to frequencies sufficient for forward transmission. Finally, we detected significant genetic compartmentalization of virus between saliva and nasal swab sample sites in many individuals. Altogether, these data provide a high-resolution profile of within-host SARS-CoV-2 evolutionary dynamics.

microbiology↗