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Kinnersley, M.

Publications and source records attributed to Kinnersley, M..

5 recordsLinked to original sources

Characterization and genomic analysis of the Lyme disease spirochete bacteriophage phiBB-1

Lyme disease is a tick-borne infection caused by the spirochete Borrelia (Borreliella) burgdorferi. Borrelia species have highly fragmented genomes composed of a linear chromosome and a constellation of linear and circular plasmids some of which are required throughout the enzootic cycle. Included in this plasmid repertoire by almost all Lyme disease spirochetes are the 32-kb circular plasmid cp32 prophages that are capable of lytic replication to produce infectious virions called {phi}BB-1. While the B. burgdorferi genome contains evidence of horizontal transfer, the mechanisms of gene transfer between strains remain unclear. While we know that {phi}BB-1 transduces cp32 and shuttle vector DNA during in vitro cultivation, the extent of {phi}BB-1 DNA transfer is not clear. Herein, we use proteomics and long-read sequencing to further characterize {phi}BB-1 virions. Our studies identified the cp32 pac region and revealed that {phi}BB-1 packages linear cp32s via a headful mechanism with preferentially packaging of plasmids containing the cp32 pac region. Additionally, we find {phi}BB-1 packages fragments of the linear chromosome and full-length plasmids including lp54, cp26, and others. Furthermore, sequencing of {phi}BB-1 packaged DNA allowed us to resolve the covalently closed hairpin telomeres for the linear B. burgdorferi chromosome and most linear plasmids in strain CA-11.2A. Collectively, our results shed light on the biology of the ubiquitous {phi}BB-1 phage and further implicates {phi}BB-1 in the generalized transduction of diverse genes and the maintenance of genetic diversity in Lyme disease spirochetes.

microbiology↗

Longitudinal map of transcriptome changes in the Lyme pathogen Borrelia burgdorferi during tick-borne transmission

Borrelia burgdorferi (Bb), the causative agent of Lyme disease, adapts to vastly different environments as it cycles between tick vector and vertebrate host. During a tick bloodmeal, Bb alters its gene expression to prepare for vertebrate infection; however, the full range of transcriptional changes that occur over several days inside of the tick are technically challenging to capture. We developed an experimental approach to enrich Bb cells to longitudinally define their global transcriptomic landscape inside nymphal Ixodes scapularis ticks during a transmitting bloodmeal. We identified 192 Bb genes that substantially change expression over the course of the bloodmeal from one to four days after host attachment. The majority of upregulated genes encode proteins found at the cell envelope or proteins of unknown function, including 45 outer surface lipoproteins embedded in the unusual protein-rich coat of Bb. As these proteins may facilitate Bb interactions with the host, we utilized mass spectrometry to identify candidate tick proteins that physically associate with Bb. The Bb enrichment methodology along with the ex vivo Bb transcriptomes and candidate tick interacting proteins presented here provide a resource to facilitate investigations into key determinants of Bb priming and transmission during the tick stage of its unique transmission cycle.

microbiology↗

Bacterial threat assessment of bacteriophage infection is mediated by intracellular polyamine accumulation and Gac/Rsm signaling

When eukaryotic cells are killed by pathogenic microorganisms, damage-associated and pathogen-associated signals are generated that alert other cells of nearby danger. Bacteria can detect the death of their kin; however, how bacteria make threat assessments of cellular injury is largely unexplored. Here we show that polyamines released by lysed bacteria serve as damage-associated molecules in Pseudomonas aeruginosa. In response to exogenous polyamines, Gac/Rsm and cyclic-di-GMP signaling is activated and intracellular polyamine levels increase. In the absence of a threat, polyamines are catabolized, and intracellular polyamines return to basal levels, but cells infected by bacteriophage increase and maintain intracellular polyamine levels, which inhibits phage replication. Phage species not inhibited by polyamines did not trigger polyamine accumulation by P. aeruginosa, suggesting polyamine accumulation and metabolism are targets in the phage-host arms-race. Our results suggest that like eukaryotic cells, bacteria can differentiate damage-associated and pathogen-associated signals to make threat assessments of cellular injury. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=112 SRC="FIGDIR/small/486733v1_ufig1.gif" ALT="Figure 1"> View larger version (34K): org.highwire.dtl.DTLVardef@1f69334org.highwire.dtl.DTLVardef@13a4422org.highwire.dtl.DTLVardef@4f3edeorg.highwire.dtl.DTLVardef@a86c43_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗

Fitness and productivity increase with ecotypic diversity among E. coli evolved in a simple, constant environment

Community productivity often correlates with diversity. In the microbial world this phenomenon can sometimes be explained by highly-specific metabolic interactions that include cross-feeding and syntrophy. Such interactions help account for the astonishing variety of microbial life, and drive many of the biogeochemical cycles without which life as we know it could not exist. While it is difficult to recapitulate experimentally how these interactions evolved among multiple taxa, we can explore in the laboratory how they arise within one. These experiments provide insight into how different bacterial ecotypes evolve and from these, possibly new species. We have previously shown that in a simple, constant environment a single clone of E. coli can give rise to a consortium of genetically-and physiologically-differentiated strains, in effect, a set of ecotypes, that coexist by cross-feeding. We marked these different ecotypes and their shared ancestor by integrating fluorescent protein into their genomes. We then used flow cytometry to show that each strain by itself is more fit than the shared ancestor, that pairs of evolved strains are fitter still, and that the entire consortium is fittest of all. We further demonstrate that the rank order of fitness values agrees with estimates of yield, indicating that an experimentally evolved consortium more efficiently converts resources to offspring than its ancestor or any member acting in isolation.\n\nImportanceIn the microbial world, diversity and productivity of communities and consortia often correlate positively. However, it is challenging to tease apart a consortium whose members have co-evolved, and connect estimates of their fitness and the fitness of their ancestor(s) with estimates of productivity. Such analyses are prerequisite to understanding the evolutionary origins of all biological communities. Here we dissect an E. coli consortium that evolved in the laboratory and show that cooperative interactions are favored under continuous glucose limitation because a partnership of ecotypes is better able to scavenge all available resources and more efficiently convert those resources to offspring than any single individual. Such interactions may be a prelude to a special form of syntrophy, and are likely to be key determinants of microbial community structure in nature, including those having clinical significance, such as chronic infections.

microbiology↗

Evolutionary dynamics of de novo mutations and mutant lineages arising in a simple, constant environment

A large, asexual population founded by a single clone evolves into a population teeming with many, whether or not its environment is structured, and whether or not resource levels are constant or fluctuating. The maintenance of genetic complexity in such populations has been attributed to balancing selection, or to either clonal interference or clonal reinforcement, arising from antagonistic or synergistic interactions, respectively. To distinguish among these possibilities, to identify targets of selection and establish when and how often they are hit, as well as to gain insight into how de novo mutations interact, we carried out 300-500 generation glucose-limited chemostat experiments founded by an E. coli mutator. To discover all de novo mutations reaching [≥]1% frequency, we performed whole-genome, whole-population sequencing at [~]1000X-coverage every 50 generations. To establish linkage relationships among these mutations and depict the dynamics of evolving lineages we sequenced the genomes of 96 clones from each population when allelic diversity was greatest. Operon-specific mutations that enhance glucose uptake arose to high frequency first, followed by global regulatory mutations. Late-arising mutations were related to energy conservation as well as to mitigating pleiotropic effects wrought by earlier regulatory changes. We discovered extensive polymorphism at relatively few loci, with identical mutations arising independently in different lineages, both between and within replicate populations. Out of more than 3,000 SNPs detected in nearly 1,800 genes or intergenic regions, only 17 reached a frequency [≥] 98%, indicating that the evolutionary dynamics of adaptive lineages was dominated by clonal interference. Finally, our data show that even when mutational input is increased by an ancestral defect in DNA repair, the spectrum of beneficial mutations that reach high frequency in a simple, constant resource-limited environment is narrow, resulting in extreme parallelism where many adaptive mutations arise but few ever go to fixation. Author SummaryMicrobial evolution experiments open a window on the tempo and dynamics of evolutionary change in asexual populations. High-throughput sequencing can be used to catalog de novo mutations, determine in which lineages they arise, and assess allelic interactions by tracking the fate of those lineages. This adaptive genetics approach makes it possible to discover whether clonal interactions are antagonistic or synergistic, and complements genetic screens of induced deleterious/loss-of-function mutants. We carried out glucose-limited chemostat experiments founded by an E. coli mutator and performed whole-genome, whole-population sequencing on 300-500 generation evolutions, cataloging 3,346 de novo mutations that reached [≥]1% frequency. Mutations enhancing glucose uptake rose to high frequency first, followed by global regulatory changes that modulate growth rate and limiting resource assimilation, then by mutations that favor energy conservation or mitigate pleiotropic effects of earlier regulatory changes. We discovered that a few loci were highly polymorphic, with identical mutations arising independently in different lineages, both between and within replicate populations. Thus, when mutational input is increased by an ancestral defect in DNA repair, the spectrum of beneficial mutations that arises under constant resource-limitation is narrow, resulting in extreme parallelism where many adaptive mutations arise but few ever become fixed.

evolutionary biology↗