Biology subjects

Yebra, G.

Publications and source records attributed to Yebra, G..

3 recordsLinked to original sources

bioRxiv2024

Bacterial metabolic remodelling by convergent evolution in response to host niche-dependent nutrient availability

New pathogens often arise after host jump events between species. However, our understanding of how bacterial pathogens pivot to distinct nutrient availabilities in a new host niche is limited. Staphylococcus aureus is a multi-host pathogen responsible for a global burden of disease in humans and farmed animals. Multiple human-to-bovine host switching events led to the emergence of S. aureus as a leading cause of intramammary infection in dairy cattle. Here, we employed ex vivo milk infections to investigate how bovine S. aureus has adapted to the dairy niche revealing metabolic remodelling including upregulation of genes for lactose utilisation and branched-chain amino acid biosynthesis in response to nutrient availability. Notably, infection of milk by bovine S. aureus results in a milk clotting phenotype associated with enhanced bacterial growth that is dependent on the protease aureolysin. The same adaptive phenotype has evolved convergently in different bovine S. aureus lineages via mutations in distinct regulatory gene loci that promote enhanced aureolysin expression. Taken together, we have dissected a key adaptive trait for a bacterial pathogen after a host-switch event, involving metabolic remodelling in response to the availability of nutrients. These findings highlight the remarkable evolutionary plasticity of S. aureus underpinning its multi-host species tropism.

microbiology↗

bioRxiv2020

Massive genome decay and expansion of insertion sequences drive the evolution of a novel host-restricted bacterial pathogen

BackgroundThe emergence of new pathogens is a major threat to public and veterinary health. Changes in bacterial habitat such as those associated with a switch in host or disease tropism are often accompanied by genetic adaptation. Staphylococcus aureus is a multi-host bacterial species comprising strains with distinct tropisms for human and livestock species. A microaerophilic subspecies, Staphylococcus aureus subsp. anaerobius, is responsible for outbreaks of Morels disease, a lymphadenitis in small ruminants. However, the evolutionary history of S. aureus subsp. anaerobius and its relatedness to S. aureus are unknown. ResultsEvolutionary genomic analyses of clinical S. aureus subsp. anaerobius isolates revealed a highly conserved clone that descended from a S. aureus progenitor about 1000 years ago before differentiating into distinct lineages representing African and European isolates. S. aureus subsp. anaerobius has undergone limited clonal expansion, with a restricted population size, and an evolutionary rate 10-fold slower than S. aureus. The transition to its current restricted ecological niche involved acquisition of a pathogenicity island encoding a ruminant host-specific effector of abscess formation, several large chromosomal re-arrangements, and the accumulation of at least 205 pseudogenes resulting in a highly fastidious metabolism. Importantly, expansion of [~]87 insertion sequences (IS) located largely in intergenic regions provided distinct mechanisms for the control of expression of flanking genes, representing a novel concept of the IS regulon. ConclusionsOur findings reveal the remarkable evolutionary trajectory of a host-restricted bacterial pathogen that resulted from extensive remodelling of the S. aureus genome through an array of parallel mechanisms.

microbiology↗

bioRxiv2017

A High HIV-1 Strain Variability in London, UK, Revealed by Full-Genome Analysis: Results from the ICONIC Project

Background & MethodsThe ICONIC project has developed an automated high-throughput pipeline to generate HIV nearly full-length genomes (NFLG, i.e. from gag to nef) from next-generation sequencing (NGS) data. The pipeline was applied to 420 HIV samples collected at University College London Hospital and Barts Health NHS Trust (London) and sequenced using an Illumina MiSeq at the Wellcome Trust Sanger Institute (Cambridge). Consensus genomes were generated and subtyped using COMET, and unique recombinants were studied with jpHMM and SimPlot. Maximum-likelihood phylogenetic trees were constructed using RAxML to identify transmission networks using the Cluster Picker.\n\nResultsThe pipeline generated sequences of at least 1Kb of length (median=7.4Kb) for 375 out of the 420 samples (89%), with 174 (46.4%) being NFLG. A total of 365 sequences (169 of them NFLG) corresponded to unique subjects and were included in the down-stream analyses. The most frequent HIV subtypes were B (n=149, 40.8%) and C (n=77, 21.1%) and the circulating recombinant form CRF02_AG (n=32, 8.8%). We found 14 different CRFs (n=66, 18.1%) and multiple URFs (n=32, 8.8%) that involved recombination between 12 different subtypes/CRFs. The most frequent URFs were B/CRF01_AE (4 cases) and A1/D, B/C, and B/CRF02_AG (3 cases each). Most URFs (19/26, 73%) lacked breakpoints in the PR+RT pol region, rendering them undetectable if only that was sequenced. Twelve (37.5%) of the URFs could have emerged within the UK, whereas the rest were probably imported from sub-Saharan Africa, South East Asia and South America. For 2 URFs we found highly similar pol sequences circulating in the UK. We detected 31 phylogenetic clusters using the full dataset: 25 pairs (mostly subtypes B and C), 4 triplets and 2 quadruplets. Some of these were not consistent across different genes due to inter- and intra-subtype recombination. Clusters involved 70 sequences, 19.2% of the dataset.\n\nConclusionsThe initial analysis of genome sequences detected substantial hidden variability in the London HIV epidemic. Analysing full genome sequences, as opposed to only PR+RT, identified previously undetected recombinants. It provided a more reliable description of CRFs (that would be otherwise misclassified) and transmission clusters.

genomics↗