Biology subjects

Brun, P.-G.

Publications and source records attributed to Brun, P.-G..

4 recordsLinked to original sources

bioRxiv2026

A maximum entropy model for m6A prediction: from human transcripts to influenza A viral segments

N6-methyladenosine (m6A) is the most frequent mRNA modification in eukaryotic cells and is involved in the regulation of gene expression. Since viruses can hijack the host machinery to perform this chemical editing, m6A is also involved in viral replication and innate immune system activation. Nowadays only few m6A viral maps are available, making complementary methods crucial to accelerate the investigation of these mechanisms. Here we propose MEMAR, a Maximum Entropy model, to predict the methylation frequency, depending on the eight-mers nucleotide motif surrounding the central adenosine. MEMAR is a fast, simple and modular model: it can be trained on human methylation maps and refined including the methylation level per transcript and the position of motifs relatively to the coding regions. This modularity allows strong adaptability, leading MEMAR to better perform over influenza A segments than the mammalian state-of-the-art DeepSRAMP method. MEMAR generalization potential is assessed on i) human transcripts from GLORI and miCLIP experiments ii) HEK293T and HeLa cell lines iii) positive and negative influenza A viral segments and iv) altered-methylation experiments. A two-state dynamical model between m6A writers and erasers explains MEMAR predictive power as a function of the global methylation percentage, and allows us to interpret anomalies in altered conditions through variations of methylation or de-methylation binding constants.

biophysics↗

bioRxiv2026

Ecological Diversification into Broad Thermal Niches Revealed by Protein Resurrection and Proteome-Wide Ancestral Reconstruction During the Rapid Radiation of Alvinellid Worms

In the deep Pacific and Indian oceans, Alvinellid worms diversified about 100 million years ago to colonize a variety of hydrothermal vent environments. It has been suggested that the last common ancestor of this family was a thermophilic species. However, the evolutionary history of these worms is complex, with putative gene flow among ancestors. In this study, we investigated the early evolution of the family in relation to the diversification of thermal niches. We demonstrated that phylogenetic histories of alvinellid species greatly vary along chromosomes, possibly due to allele introgression between nascent ecotypes. We performed sequence reconstructions of ancestral cytosolic MDH and Cu/Zn SOD under the two most frequent phylogenies encountered along the genome. In silico simulations of folding stability for these two enzymes were highly correlated with their biophysical characterization (micro-calorimetry and differential scanning fluorimetry), and were used to predict the thermostability of thousands of alternatively reconstructed proteins. We further generalized the reconstruction at the proteome scale, taking the amino-acid usage bias as a proxy for folding stability in a new phylogenetic model accounting for amino-acid variations over time. Both approaches agree that the last common ancestors of Alvinellidae gained highly stable proteins, comparable to proteins of present-day thermotolerant species. Our computational protocol allowed us to validate this scenario under multiple phylogenetic hypotheses and different sequence reconstruction models. Considered together, Alvinellidae shed light on how metazoan species diversify in order to colonize different thermal niches, combining adaptive mutation and selection on genetic variants. SignificanceDeep-sea hydrothermal vents are among the most extreme environments on Earth. They, however, represent oases of life for a restricted number of highly specialized species. As such, Alvinellid worms constitute an exceptional family, including highly thermotolerant animals such as the Pompeii worm. Despite their vent endemicity, Alvinellidae thrive under contrasting ecological conditions, particularly regarding temperature. Understanding how this family diversified to colonize broad thermal regimes is of major importance for dissecting the mechanisms by which species adapt in highly unstable environments. Combining experimental protein resurrection, proteome-wide predictions, and new phylogenetic models, we assess the reliability of ancestral sequence reconstructions that represent molecular thermometers to evaluate past environmental conditions.

evolutionary biology↗

bioRxiv2025

Design and experimental characterization of specificity-switching mutational paths of WW domains

Specific interactions between proteins and other biomolecules are ubiquitous in cellular processes.How specificity is encoded in the protein sequence and can be modified through a minimal set of concerted mutations is a complex issue. In this work, we focus on the WW protein domain, whose variants specifically bind to different classes of proline-rich peptides. Combining unsupervised learning of homologous WW sequence data with Restricted Boltzmann Machines (RBM) and path-sampling methods, we design mutational paths of putative WW domains interpolating between two natural WW domains with either distinct or similar specificities. Sequences along the designed paths are then experimentally validated with high-throughput in-vitro binding assays against 3 peptides of different classes. The vast majority (93%) of intermediate sequences along the designed paths are responsive to the initial or/and final peptides. On the contrary, domains along scrambled paths, in which the same mutations are introduced in random order are not functional, emphasizing how successful design crucially depends on the ability to model epistatic interactions. Switch in specificity between classes I and IV, whose representative peptides bind to different pockets on the WW domain takes place through intermediates displaying some level of binding cross-reactivity with the tested peptides, contrary to the transition from class I to II, which are associated with the same binding pocket. Lastly, we show that the RBM paths share a high identity with internal nodes obtained from ancestral sequence reconstruction based on the seed WW domains.

bioengineering↗

bioRxiv2023

A step in the deep evolution of Alvinellidae (Annelida: Polychaeta): a phylogenomic comparative approach based on transcriptomes

The Alvinellidae are a family of worms that are endemic to deep-sea hydrothermal vents in the Pacific and Indian Oceans. These annelid worms, a sister group to the Ampharetidae, occupy a wide range of thermal habitats. The family includes the most thermotolerant marine animals described to date such as the Pompeii worm Alvinella pompejana, and other species living at much lower temperatures such as Paralvinella grasslei or Paralvinella pandorae. The phylogeny of this family has not been studied extensively. It is, however, a complex case where molecular phylogenies have given conflicting results, especially concerning the monophyletic or polyphyletic nature of the genus Paralvinella. We carried out a comprehensive study of the phylogeny of this family using the best molecular data currently available from RNAseq datasets, leading to several hundred orthologous transcripts for 11 of the 14 species currently described or in description. The results obtained by the two most popular phylogenetic inference models (using either gene concatenation with maximum likelihood, or a coalescent-based model from gene trees) were compared using a series of ampharetid and terebellid outgroups. Our study shows that the global phylogenetic signal favors the hypothesis of paraphyly for the Paralvinella genus, with P. pandorae being sister species of the other Alvinellidae. However, a high number of gene trees also supports the hypothesis of alternative trees in which the monophyly of the Paralvinella genus, as initially proposed by Desbruyeres and Laubier, is valid with the species P. pandorae and Paralvinella unidentata being sister species. According to molecular dating, the radiation of the Alvinellidae was rapid and took place in a short period of time between 80 and 110 million years ago. This is reflected at the genomic scale by gene trees equally separated between different phylogenetic hypothesis, showing high rates of incomplete lineage sorting between the first lineages of the Alvinellidae and probable gene transfers. Although different genomic regions seem to have different phylogenetic stories in the early step of the alvinellid radiation, our study supports the view that the two P. pandorae species can be grouped into a separate genus (possibly Nautalvinella) and that the Miralvinella subgenus, defined by Desbruyeres and Laubier, is not valid anymore.

evolutionary biology↗