Biology subjects

Rey, F.

Publications and source records attributed to Rey, F..

3 recordsLinked to original sources

bioRxiv2018

Social relationships, social isolation, and the human gut microbiota

Social relationships shape human health and mortality via behavioral, psychosocial, and physiological mechanisms, including inflammatory and immune responses. Though not tested in human studies, recent primate studies indicate that the gut microbiome may also be a biological mechanism linking relationships to health. Integrating microbiota data into the 60-year-old Wisconsin Longitudinal Study, we found that socialness with family and friends is associated with differences in the human fecal microbiota. Analysis of spouse (N = 94) and sibling pairs (N = 83) further revealed that spouses have more similar microbiota and more bacterial taxa in common than siblings, with no observed differences between sibling and unrelated pairs. These differences held even after accounting for dietary factors. The differences between unrelated individuals and married couples was driven entirely by couples who reported close relationships; there were no differences in similarity between couples reporting somewhat close relationships and unrelated individuals. Moreover, the microbiota of married individuals, compared to those living alone, has greater diversity and richness, with the greatest diversity among couples reporting close relationships, which is notable given decades of research documenting the health benefits of marriage. These results suggest that human interactions, especially sustained, close marital relationships, influence the gut microbiota.

microbiology↗

bioRxiv2018

Hybrid sequence-structure based HMM models leverage theidentification of homologous proteins: the example of class II fusion

We present a sequence-structure based method characterizing a set of functionally related proteins exhibiting low sequence identity and loose structural conservation. Given a (small) set of structures, our method consists of three main steps. First, pairwise structural alignments are combined with multi-scale geometric analysis to produce structural motifs i.e. regions structurally more conserved than the whole structures. Second, the sub-sequences of the motifs are used to build profile hidden Markov models (HMM) biased towards the structurally conserved regions. Third, these HMM are used to retrieve from UniProtKB proteins harboring signatures compatible with the function studied, in a bootstrap fashion.\n\nWe apply these hybrid HMM to investigate two questions related to class II fusion proteins, an especially challenging class since known structures exhibit low sequence identity (less than 15%) and loose structural similarity (of the order of 15[A] in lRMSD). In a first step, we compare the performances of our hybrid HMM against those of sequence based HMM. Using various learning sets, we show that both classes of HMM retrieve unique species. The number of unique species reported by both classes of methods are comparable, stressing the novelty brought by our hybrid models. In a second step, we use our models to identify 17 plausible HAP2-GSC1 candidate sequences in 10 different drosophila melanogaster species. These models are not identified by the PF[A]M family HAP2-GCS1 (PF10699), stressing the ability of our structural motifs to capture signals more subtle than whole Pfam domains.\n\nIn a more general setting, our method should be of interest for all cases functional families with low sequence identity and loose structural conservation.\n\nOur software tools are available from the FunChaT package of the Structural Bioinformatics Library (http://sbl.inria.fr).

bioinformatics↗

bioRxiv2018

Molecular determinants of Yellow Fever Virus pathogenicity in Syrian Golden Hamsters: one mutation away from virulence

Yellow fever virus (Flavivirus genus) is an arthropod-borne pathogen which can infect humans, causing a severe viscerotropic disease with a high mortality rate. Adapted viral strains allow the reproduction of yellow fever disease in hamsters with features similar to the human disease. Here, we used the Infectious Subgenomic Amplicons reverse genetics method to produce an equivalent to the hamster-virulent strain, Yellow Fever Ap7, by introducing a set of 4 synonymous and 6 non-synonymous mutations into a single subgenomic amplicon, derived from the sequence of the Asibi strain. The resulting strain, Yellow Fever Ap7M, induced a disease similar to that described for Ap7 in terms of symptoms, weight evolution, viral loads in the liver and lethality. Using the same methodology, we produced mutant strains derived from either Ap7M or Asibi viruses and investigated the role of each of Ap7M non-synonymous mutations in its in vivo phenotype. This allowed identifying key components of the virulence mechanism in hamsters. In Ap7M virus, the reversion of either E/Q27H or E/D155A mutations, led to an important reduction of both virulence and in vivo replicative fitness. In addition, the introduction of the single D155A Ap7M mutation within the E protein of the Asibi virus was sufficient to drastically modify its phenotype in hamsters towards both a greater replication efficiency and virulence. Finally, inspection of the Asibi strain E protein structure combined to in vivo testing revealed the importance of an exposed -helix in domain I, containing residues 154 and 155, for Ap7M virulence in hamsters.

microbiology↗