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Puente-Lelievre, C.

Publications and source records attributed to Puente-Lelievre, C..

3 recordsLinked to original sources

Molecular and structural innovations of the stator motor complex at the dawn of flagellar motility

The rotation of the bacterial flagellum is powered by the MotAB stator complex, which converts ion flux into torque. The origin and evolution of this remarkable complex is understudied. Here, we perform the first phylogenetic and structural characterisation and classification of MotAB and nonflagellar relatives. Using 193 genomes sampled across 27 bacterial phyla, we estimated phylogenies and ancestral sequences, and generated AlphaFold predictions for all extant and reconstructed proteins. We then mapped them onto the phylogeny to determine patterns of diversity and distribution of structural innovations. We identify two discrete groups: the Flagellar Ion Transporters (FIT) and the Generic Ion Transporters (GIT). The FIT proteins are structurally conserved and have a square fold domain and a torque-generating interface (TGI). FIT proteins are divided into two clades, termed TGI4 and TGI5, referring to whether there have 4 or 5 short helices in the TGI. TGI5 motors are predominantly found in Proteobacteria and include the well-studied E. coli K12 system, while TGI4 motors are found in diverse phyla and include the Na+-powered polar motors of Vibrio (PomAB). The GIT proteins, on the other hand, are structurally diverse and lack these attributes. The interaction between the A and B subunits is conserved across the FIT and GIT proteins. The two subunits are jointly necessary for function, with the genes typically adjacent within an operon. Motility assays in E. coli show that the structural elements unique to FIT play an important role in flagellar motility. Our results indicate that the stator motor complex has a single origin and shares unique motility-related structural traits. Significance StatementFlagellar motility is a key feature in bacterial pathogenicity and survival. It allows bacteria to propel themselves and direct movement according to environmental conditions. We investigated the molecular and structural diversity of the stator motor proteins that provide the ion motive force to power flagellar rotation. This study integrates phylogenetics, 3D protein structure modeling, motility assays and ancestral state reconstruction (ASR) to provide insights into the structural mechanisms that first powered the flagellar motor. We provide the first phylogenetic and structural characterisation and classification of MotAB and relatives.

evolutionary biology↗

On use of tertiary structure characters in hidden Markov models for protein fold prediction

While advances in protein structure prediction have opened up insights into arcane proteins, weak sequence homology makes functional characterisation challenging. To overcome this challenge, we use structure-based hidden Markov models of groupings in SCOP, CATH and ECOD to predict folds in proteins and thereby infer function. Conservation of structure and ability of hidden Markov models to detect remote signals make this a powerful resource for complete characterisation of arcane proteins.

bioinformatics↗

Tertiary-interaction characters enable fast, model-based structural phylogenetics beyond the twilight zone

Protein structure is more conserved than protein sequence, and therefore may be useful for phylogenetic inference beyond the "twilight zone" where sequence similarity is highly decayed. Until recently, structural phylogenetics was constrained by the lack of solved structures for most proteins, and the reliance on phylogenetic distance methods which made it difficult to treat inference and uncertainty statistically. AlphaFold has mostly overcome the first problem by making structural predictions readily available. We address the second problem by redeploying a structural alphabet recently developed for Foldseek, a highly-efficient deep homology search program. For each residue in a structure, Foldseek identifies a tertiary interaction closest-neighbor residue in the structure, and classifies it into one of twenty "3Di" states. We test the hypothesis that 3Dis can be used as standard phylogenetic characters using a dataset of 53 structures from the ferritin-like superfamily. We performed 60 IQtree Maximum Likelihood runs to compare structure-free, PDB, and AlphaFold analyses, and default versus custom model sets that include a 3DI-specific rate matrix. Analyses that combine amino acids, 3Di characters, partitioning, and custom models produce the closest match to the structural distances tree of Malik et al. (2020), avoiding the long-branch attraction errors of structure-free analyses. Analyses include standard ultrafast bootstrapping confidence measures, and take minutes instead of weeks to run on desktop computers. These results suggest that structural phylogenetics could soon be routine practice in protein phylogenetics, allowing the re-exploration of many fundamental phylogenetic problems.

evolutionary biology↗