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Kessler, C.

Publications and source records attributed to Kessler, C..

3 recordsLinked to original sources

Evolutionary divergence of the Wsp signal transduction system in β- and γ-proteobacteria

Bacteria rapidly adapt to their environment by integrating external stimuli through diverse signal transduction systems. Pseudomonas aeruginosa, for example, senses surface-contact through the Wsp signal transduction system to trigger the production of cyclic di-GMP. Diverse mutations in wsp genes that manifest enhanced biofilm formation are frequently reported in clinical isolates of P. aeruginosa, and in biofilm studies of Pseudomonas spp. and Burkholderia cenocepacia. In contrast to the convergent phenotypes associated with comparable wsp mutations, we demonstrate that the Wsp system in B. cenocepacia does not impact intracellular cyclic di-GMP levels unlike that in Pseudomonas spp. Our current mechanistic understanding of the Wsp system is entirely based on the study of four Pseudomonas spp. and its phylogenetic distribution remains unknown. Here, we present the first broad phylogenetic analysis to date to show that the Wsp system originated in the {beta}-proteobacteria then horizontally transferred to Pseudomonas spp., the sole member of the {gamma}-proteobacteria. Alignment of 794 independent Wsp systems with reported mutations from the literature identified key amino acid residues that fall within and outside annotated functional domains. Specific residues that are highly conserved but uniquely modified in B. cenocepacia likely define mechanistic differences among Wsp systems. We also find the greatest sequence variation in the extracellular sensory domain of WspA, indicating potential adaptations to diverse external stimuli beyond surface-contact sensing. This study emphasizes the need to better understand the breadth of functional diversity of the Wsp system as a major regulator of bacterial adaptation beyond B. cenocepacia and select Pseudomonas spp. ImportanceThe Wsp signal transduction system serves as an important model system for studying how bacteria adapt to living in densely structured communities known as biofilms. Biofilms frequently cause chronic infections and environmental fouling, and they are very difficult to eradicate. In Pseudomonas aeruginosa, the Wsp system senses contact with a surface, which in turn activates specific genes that promote biofilm formation. We demonstrate that the Wsp system in Burkholderia cenocepacia regulates biofilm formation uniquely from that in Pseudomonas species. Furthermore, a broad phylogenetic analysis reveals the presence of the Wsp system in diverse bacterial species, and sequence analyses of 794 independent systems suggest that the core signaling components function similarly but with key differences that may alter what or how they sense. This study shows that Wsp systems are highly conserved and more broadly distributed than previously thought, and their unique differences likely reflect adaptations to distinct environments.

microbiology

Multi-omics profiling of living human pancreatic islet donors reveals heterogeneous beta cell trajectories toward type 2 diabetes

Existing studies do not sufficiently describe the molecular changes of pancreatic islet beta cells leading to their deficient insulin secretion in type 2 diabetes (T2D). Here we address this deficiency with a comprehensive multi-omics analysis of metabolically profiled pancreatectomized living human donors stratified along the glycemic continuum from normoglycemia to T2D. Islet pools isolated from surgical samples by laser-capture microdissection had remarkably heterogeneous transcriptomic and proteomic profiles in diabetics, but not in non-diabetic controls. Transcriptomics analysis of this unique cohort revealed islet genes already dysregulated in prediabetic individuals with impaired glucose tolerance. Our findings demonstrate a progressive but disharmonic remodeling of mature beta cells, challenging current hypotheses of linear trajectories toward precursor or trans-differentiation stages in T2D. Further, integration of islet transcriptomics and pre-operative blood plasma lipidomics data enabled us to define the relative importance of gene co-expression modules and lipids positively or negatively associated with HbA1c levels, pointing to potential prognostic markers.

bioinformatics

A robust sequencing assay of a thousand amplicons for the high-throughput population monitoring of Alpine ibex immunogenetics

Genetic variation is a major factor determining susceptibility to diseases. Polymorphism at the major histocompatibility complex (MHC) and other immune function loci can underlie health and reproductive success of individuals. Endangered species of low population size could be severely compromised to evolve disease resistance due to reduced adaptive variation. A major impediment to screen adaptive genetic variation in wild species is the difficulty to comprehensively genotype immune-related loci based on low input material. Here, we design and validate a targeted amplicon sequencing assay to parallelize the analysis of a thousand loci of the MHC, other immunity-related genes, and genome-wide markers for the assessment of population structure. We apply the approach to Alpine ibex, one of the most successful examples of restoration of a large mammal in Europe. We used 51 whole genome sequenced individuals to select representative target SNPs. We integrated SNP call data from four related species for amplification robustness and genotyped 158 Alpine ibex individuals for validation. We show that the genome-wide markers perform equally well at resolving population structure as RAD-seq or low-coverage genome sequencing datasets with orders of magnitude more markers. The targeted amplicon sequencing assay is robust to >100-fold variation in input DNA quantity and generates useful genotype information from fecal samples. The amplicon marker set also identified recent species hybridization events with domestic goats. The immune loci show unexpectedly high degrees of differentiation within the species. Our assay strategy can realistically be implemented into population genetic surveys of a large range of species.

genomics