Search bioRxiv⌕ Search

Biology subjects

Klockgether, J.

Publications and source records attributed to Klockgether, J..

2 recordsLinked to original sources

Variation in the response to antibiotics and life-history across the major Pseudomonas aeruginosa clone type (mPact) panel

Pseudomonas aeruginosa is a ubiquitous, opportunistic human pathogen. Since it often expresses multidrug resistance, it is ranked by the World Health Organization among the top 3 high priority pathogens, for which new treatment options are urgently required. An evaluation of new treatments is usually performed experimentally with one of the canonical laboratory strains (e.g., PAO1 or PA14). However, these two strains are unlikely representative of the strains infecting patients, because they have adapted to laboratory conditions and do not capture the enormous genomic diversity of the species. Here, we characterized the major P. aeruginosa clone type (mPact) panel. This panel consists of 20 strains, which reflect the genomic diversity of the species, cover all major clone types, and have both patient and environmental origins. We found significant strain variation in distinct responses towards antibiotics and general growth characteristics. Only few of the measured traits are related, and if so, only for specific antibiotics. Moreover, high levels of resistance were only identified for clinical mPact isolates and could be linked to known AMR (antimicrobial resistance) genes in the sequenced genomes. One strain also produced highly unstable AMR, indicating an evolutionary cost to resistance expression. By linking isolation source, growth, and virulence to life history traits, we further identified specific adaptive strategies for individual mPact strains towards either host processes or degradation pathways. Overall, the mPact panel provides a reasonably sized set of distinct strains, enabling in-depth analysis of new treatment designs or evolutionary dynamics in consideration of the species genomic diversity. ImportanceNew treatment strategies are urgently needed for high risk pathogens such as the opportunistic and often multidrug resistant pathogen Pseudomonas aeruginosa. Here, we characterize the major P. aeruginosa clone type (mPact) panel. It consists of 20 strains with different origins that cover the major clone types of the species as well as its genomic diversity. This mPact panel shows significant variation in (i) resistance against distinct antibiotics, including several last resort antibiotics, (ii) related traits associated with the response to antibiotics, and (iii) general growth characteristics. We further developed a novel approach that integrates information on resistance, growth, virulence, and life-history characteristics, allowing us to demonstrate the presence of distinct adaptive strategies of the strains that focus either on host interaction or resource processing. In conclusion, the mPact panel provides a manageable number of representative strains for this important pathogen for further in-depth analyses of treatment options and evolutionary dynamics.

microbiology↗

Phylogroup-specific variation shapes pangenome dynamics in Pseudomonas aeruginosa

BackgroundPseudomonas aeruginosa is an opportunistic pathogen consisting of three phylogroups (hereafter named A, B, and C) of unevenly distributed size. Here, we assessed phylogroup-specific evolutionary dynamics in a collection of P. aeruginosa genomes. MethodsIn this genomic analysis, using phylogenomic and comparative genomic analyses, we generated 18 hybrid assemblies from a phylogenetically diverse collection of clinical and environmental P. aeruginosa isolates, and contextualised this information with 1991 publicly available genomes of the same species. We explored to what extent antimicrobial resistance (AMR) genes, defence systems, and virulence genes vary in their distribution across regions of genome plasticity (RGPs) and "masked" (RGP-free) genomes, and to what extent this variation differs among the phylogroups. FindingsWe found that members of phylogroup B possess larger genomes, contribute a comparatively larger number of pangenome families, and show lower abundance of CRISPR-Cas systems. Furthermore, AMR and defence systems are pervasive in RGPs and integrative and conjugative/mobilizable elements (ICEs/IMEs) from phylogroups A and B, and the abundance of these cargo genes is often significantly correlated. Moreover, inter- and intra-phylogroup interactions occur at the accessory genome level, suggesting frequent recombination events. Finally, we provide here a panel of diverse P. aeruginosa strains to be used as reference for functional analyses. InterpretationAltogether, our results highlight distinct pangenome characteristics of the P. aeruginosa phylogroups, which are possibly influenced by variation in the abundance of CRISPR-Cas systems and that are shaped by the differential distribution of other defence systems and AMR genes. FundingGerman Science Foundation, Max-Planck Society, Leibniz ScienceCampus Evolutionary Medicine of the Lung, BMBF program Medical Infection Genomics, Kiel Life Science Postdoc Award. Research in contextO_ST_ABSEvidence before this studyC_ST_ABSTo date, pangenome studies exploring the epidemiology and evolution dynamics of bacterial pathogens have been limited due to the use of gene frequencies across whole species dataset without accounting for biased sampling or the population structure of the genomes in the dataset. We searched PubMed without language restrictions for articles published before September 1, 2021, that investigated the phylogroup-specific evolutionary dynamics across bacterial species. In this literature search we used the search terms "pangenome" and "phylogroup" or "uneven", which returned 14 results. Of these, only one study used a population structure-aware approach to explore pangenome dynamics in a bacterial species consisting of multiple phylogroups with unevenly distributed members. Added value of this studyTo our knowledge, this study is the first to assess phylogroup-specific evolutionary dynamics in a collection of genomes belonging to the nosocomial pathogen P. aeruginosa. Using a refined approach that challenges traditional pangenome analyses, we found specific signatures for each of the three phylogroups, and we demonstrate that members of phylogroup B contribute a comparatively larger number of pangenome families, have larger genomes, and have a lower prevalence of CRISPR-Cas systems. Additionally, we observed that antibiotic resistance and defence systems are pervasive in regions of genome plasticity and integrative and conjugative/mobilizable elements from phylogroups A and B, and that antibiotic resistance and defence systems are often significantly correlated in these mobile genetic elements. Implications of all the available evidenceThese results indicate that biases inherent to traditional pangenome approaches can obscure the real distribution of important cargo genes in a bacterial species with a complex population structure. Furthermore, our findings pave the way to new pangenome approaches that are currently under-explored in comparative genomics and, crucially, shed a new light on the role that integrative and conjugative/mobilizable elements may play in protecting the host against foreign DNA.

microbiology↗