Endothermy, marsupials and hibernation: a tale from three continents

Endothermic animals (i.e., birds and mammals) produce metabolic heat in their bodies in a way that allows them to maintain a near constant body temperature at values that are typically well above ambient temperature. This is an extravagant economy that requires these animals to maintain elevated energy budgets and spend a large part of their resources on basic maintenance. Several endotherms, however, become ectothermic (torpid) as an adaptive strategy to save energy during periods cold periods. However, the fitness-costs of this strategy could be important, as it entails important threats to organs and tissues due to the toxic effects of ROS production during hypoxia and reperfusion. The small South American marsupial, “monito del monte”  "Dromiciops gliroides", known as the missing link between the American and the Australian marsupials, is one of the few South American mammals known to hibernate. Expressing daily torpor and seasonal hibernation (=”opportunistic hibernation”), this species may provide crucial…

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Unraveling the mystery of orphan genes to understand the origins of genetic novelty

What explains the presence of a gene only in the genome of one species and not in any other? Species-specific protein-coding genes, also known as orphans, can arise "from scratch" from previously non-genic loci, through a process known as de novo gene emergence. How exactly the evolutionary transition from non-gene to functional gene unfolds is unclear. Can such de novo emerging genes increase an organism's fitness, and if so how? Orphan genes can also result from extensive sequence divergence of ancestral genes, which can eventually erase all similarity of a gene to its homologues in other species, a process even less well understood than de novo emergence. I will present novel findings which advance our understanding of both these evolutionary mechanisms and bring us a small step closer to a complete picture of the origins of genetic novelty.

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Inference of bacterial protein-protein interactions from multi-species sequence data

Experimental approaches to transient protein interactions are laborious, and our understanding of fundamental questions like the identification of interaction surfaces or the specificity of molecular recognition between interacting proteins is far from being complete. We propose a computational approach based on techniques from statistical physics, which exploits correlations in the natural sequence variability in families of homologous proteins across hundreds of species. Using bacterial two-component signal transduction as a test case, we show that our method is able (i) to identify inter-protein residue contacts and to facilitate the prediction of protein complex strutures, and (ii) to reconstruct a molecular recognition code which elucidates specificity in signal transduction in bacteria.

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