Benson, S. | bioRxiv Science

bioRxiv2026

Intestinal bacteria hijack an evolutionarily conserved epithelial repair signal

Apoptosis in the gut triggers an expansion in the Enterobacteriaceae family of bacteria, causing both prolonged tissue injury and delayed repair. However, the mechanisms linking the Enterobacteriaceae bloom and subsequent deleterious tissue response are relatively unknown. Here, we establish purines as a major component of the apoptotic secretome that are consumed by bacteria. Explicitly, we identify hypoxanthine as a critical metabolite that is taken up and metabolised by both pathogenic and commensal species within the Enterobacteriaceae family. Epithelial cells release hypoxanthine into the extracellular space during early stages of apoptosis via the upregulation of equilibrative nucleoside transporters 1/2 (ENT1/2). Critically, beyond simply linking host and microbe, we delineate a connection between the release of hypoxanthine from the dying cell and the ability of the host to repair damaged epithelial tissue. Hypoxanthine is a potent promoter of epithelial cell repair in both gut and skin across the phylogenetic tree including humans, mice, zebrafish, and fruit flies and promotes similar ATP production and cellular proliferation in eukaryotic and microbial recipients. Thus, the preferential utilisation of hypoxanthine by the Enterobacteriaceae directly competes with the host for a core reparative signal.

microbiology↗

bioRxiv2022

Differential sensory and immune gene evolution in sea turtles with contrasting demographic and life histories

Sea turtles represent an ancient lineage of marine vertebrates that evolved from terrestrial ancestors over 100 MYA, yet the genomic basis of the unique physiological and ecological traits enabling these species to thrive in diverse marine habitats remains largely unknown. Additionally, many populations have drastically declined due to anthropogenic activities over the past two centuries, and their recovery is a high global conservation priority. We generated and analyzed high-quality reference genomes for the leatherback (Dermochelys coriacea) and green (Chelonia mydas) turtles, representing the two extant sea turtle families. These genomes are highly syntenic and homologous, but localized regions of non-collinearity were associated with higher copy numbers of immune, zinc-finger, and olfactory receptor (OR) genes in green turtles, with ORs related to waterborne odorants greatly expanded in green turtles. Our findings suggest that divergent evolution of these key gene families may underlie immunological and sensory adaptations assisting navigation, occupancy of neritic versus pelagic environments, and diet specialization. Reduced collinearity was especially prevalent in microchromosomes, with greater gene content, heterozygosity, and genetic distances between species, supporting their critical role in vertebrate evolutionary adaptation. Finally, diversity and demographic histories starkly contrasted between species, indicating that leatherback turtles have had a low yet stable effective population size, exhibit extremely low diversity compared to other reptiles, and harbor a higher genetic load compared to green turtles, reinforcing concern over their persistence under future climate scenarios. These genomes provide invaluable resources for advancing our understanding of evolution and conservation best practices in an imperiled vertebrate lineage. Statement of significanceSea turtle populations have undergone recent global declines. We analyzed de novo assembled genomes for both extant sea turtle families through the Vertebrate Genomes Project to inform their conservation and evolutionary biology. These highly conserved genomes were differentiated by localized gene-rich regions of divergence, particularly within microchromosomes, suggesting that these genomic elements play key functional roles in the evolution of sea turtles and possibly other vertebrates. We further demonstrate that dissimilar evolutionary histories impact standing genomic diversity and genetic load, and are critical to consider when using these metrics to assess adaptive potential and extinction risk. Our results also demonstrate how reference genome quality impacts inferences of comparative and conservation genomics analyses that need to be considered in their application.

genomics↗

bioRxiv2017

IMPROVEMENTS TO BAYESIAN GENE ACTIVITY STATE ESTIMATION FROM GENOME-WIDE TRANSCRIPTOMICS DATA

An important question in many biological applications, is to estimate or classify gene activity states (active or inactive) based on genome-wide transcriptomics data. Recently, we proposed a Bayesian method, titled MultiMM, which showed superior results compared to existing methods. In short, MultiMM performed better than existing methods on both simulated and real gene expression data, confirming well-known biological results and yielding better agreement with fluxomics data. Despite these promising results, MultiMM has numerous limitations. First, MultiMM leverages co-regulatory models to improve activity state estimates, but information about co-regulation is incorporated in a manner that assumes that networks are known with certainty. Second, MultiMM assumes that genes that change states in the dataset can be distinguished with certainty from those that remain in one state. Third, the model can be sensitive to extreme measures (outliers) of gene expression. In this manuscript, we propose a modified Bayesian approach, which addresses these three limitations by improving outlier handling and by explicitly modeling network and other uncertainty yielding improved gene activity state estimates when compared to MultiMM.

genomics↗