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Nogueira, T. I.

Publications and source records attributed to Nogueira, T. I..

2 recordsLinked to original sources

The Rare Plasmid Biosphere: A Hidden Reservoir of Genetic Diversity

Bacterial communities typically display highly uneven abundance patterns, with a few dominant taxa and many low-abundance ones contributing to extensive genetic diversity 1-4. Notably, this rare biosphere 5 includes species performing critical ecological functions, such as biogeochemical cycling and resisting invasions 6-9. While bacterial abundance patterns have been extensively studied, the distribution of plasmids-extrachromosomal, self-replicating genetic elements ubiquitous in prokaryotes-- remains poorly understood. Using a dataset of 52,909 plasmids from isolates of bacteria and archaea 10, we found that their 16,547 Plasmid Taxonomic Units (PTUs) 11,12 exhibit a distribution with a fat tail, whether in rank abundance or relative abundance distributions: a few highly prevalent PTUs and many rare. The relative abundance distributions are well described by a Poisson log-normal distribution, consistent with recent findings for species abundance distributions across several taxonomic groups 13. The host distribution also presents a heavy tail; however, we show that rare PTUs are not necessarily associated with rare bacterial species, nor are common PTUs exclusively found in common hosts. This indicates that PTUs distribution is not a direct consequence of hosts distribution. Per plasmid, the host range of rare PTUs is higher than that of common PTUs, at all taxa levels, from species to phyla. Yet, plasmids from common PTUs are more mobile, likely explaining their success. The large group of rare PTUs constitutes a much more diverse reservoir of genetic material than the group of common PTUs. Under appropriate selective pressures, some of these rare plasmids could spread not only by hitchhiking with their hosts but also through horizontal transfer. Therefore, this work opens new paths into plasmid research.

microbiology↗

Conjugative Plasmids Rarely Confer Antibiotic Resistance or Virulence

Plasmids are autonomous DNA molecules that can replicate independently and transfer horizontally between bacterial cells. They play a key role in disseminating adaptive traits, such as antimicrobial resistance and virulence. Understanding plasmid mobility and its association with these traits is crucial to microbial ecology, public health and genomic surveillance. Several databases have been developed to catalogue plasmids assembled from bacterial isolates and metagenomic samples. However, differences in database construction and curation can introduce biases that affect subsequent analyses. In this study, we compare three distinct plasmid genome datasets -- the NCBI Reference Sequence Database (RefSeq), the Integrated Microbial Genomes & Microbiomes system (IMG/PR) from bacterial isolates (I) and microbiomes (M) -- to assess the influence of data origin on inferences about plasmid mobility types, antimicrobial resistance genes (ARGs), virulence genes (VGs) and host taxonomy. Our analysis reveals that plasmids assembled from metagenomes tend to be smaller than those assembled from isolates. RefSeq plasmids are enriched in conjugative plasmids (pCONJ) and display a higher frequency of ARGs and VGs. In contrast, regardless of whether they originate from isolates or metagenomes, IMG/PR plasmids are enriched in mobilizable plasmids (pMOB). Furthermore, ARGs are more frequently associated with highly mobile plasmids, particularly pCONJ. These findings highlight the importance of database selection in studies of plasmid epidemiology, functional potential and mobility. Standardised curation practices and cross-database comparisons are essential to ensure robust and reproducible insights into plasmid-mediated gene flow. ImportancePlasmids are DNA molecules that can replicate and transfer between bacteria, thereby helping to spread genes that enable bacteria to survive and adapt in different environments. This gene exchange plays a significant part in bacterial evolution. Researchers study these processes using plasmid databases, but the way these databases are constructed can influence the conclusions that are drawn. In this study, we found that key traits, such as those involved in antibiotic resistance and the ability to cause disease, are more often linked to plasmids with greater mobility, particularly in databases containing more clinical samples. However, our results demonstrate that the choice of dataset can significantly impact our understanding of the dissemination of critical genes among bacteria. These findings are valuable for tracking and controlling antibiotic resistance and disease, and highlight the need for carefully constructed, representative databases to support accurate research into how bacteria share genes.

genomics↗