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99 results for “bacterial genome”

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zenodo28/100

Supplemental to Masterthesis: Comparative Genome analysis of borontolerant and -sensitive bacterial isolates

Supplemental data and result files of the Masterthesis: Comparative Genome analysis of borontolerant and -sensitive bacterial isolates

opencc-by-4.0Jun 2020View details →

dryad28/100

Data from: Genomic evolution of bacterial populations under co-selection by antibiotics and phage

Bacteria live in dynamic systems where selection pressures can alter rapidly, forcing adaptation to the prevailing conditions. In particular, bacteriophages and antibiotics of anthropogenic origin are major bacterial stressors in many environments. We previously observed that populations of the bacterium Pseudomonas fluorescens SBW25 exposed to the lytic bacteriophage SBW25Φ2 and a non-inhibitive concentration of the antibiotic streptomycin (co-selection) achieved higher levels of phage resistance compared to populations exposed to the phage alone. In addition, the phage became extinct under co-selection while remaining present in the phage alone environment. Further, phenotypic tests indicated that these observations might be associated with increased mutation rate under co-selection. In this study, we examined the genetic causes behind these phenotypes by whole-genome sequencing clones isolated from the end of the experiments. We were able to identify genetic factors likely responsible for streptomycin resistance, phage resistance and hypermutable (mutator) phenotypes. This constitutes genomic evidence in support of the observation that while the presence of phage did not affect antibiotic resistance, the presence of antibiotic affected phage resistance. We had previously hypothesized an association between mutators and elevated levels of phage resistance under co-selection. However, our evidence regarding the mechanism was inconclusive, since although with phage mutators were only found under co-selection, additional genomic evidence was lacking and phage resistance was also observed in non-mutators under co-selection. More generally, our study provides novel insights into evolution between univariate and multivariate selection (here two stressors), as well as the potential role of hypermutability in natural communities.

opencc-zeroDec 2015View details →

dryad28/100

Data from: Raw whole Drosophila genome sequence traces have contaminant sequences from bacterial symbionts

Many Drosophila genomes have been sequenced and assembled recently, and many more genome sequencing projects are in progress. However, Drosophila have bacterial, fungal, and protozoan symbionts, and the DNA of these symbionts may be isolated in the process of sequencing Drosophila genomes. Here, we assess how much sequence is isolated from these symbionts and if the sequence contamination affected how these Drosophila genomes were assembled. We do find raw sequence from bacterial symbionts and humans in Drosophila genome sequence traces analyzed. Surprisingly, the four most-common contaminant species were shared among the Drosophila genomes. However, we do not find evidence of bacterial sequences in two published Drosophila genome assemblies.

opencc-zeroDec 2009View details →

dryad28/100

Data from: Genome-wide prediction of bacterial effector candidates across six secretion system types using a feature-based statistical framework

Gram-negative bacteria are responsible for hundreds of millions infections worldwide, including the emerging hospital-acquired infections and neglected tropical diseases in the third-world countries. Finding a fast and cheap way to understand the molecular mechanisms behind the bacterial infections is critical for efficient diagnostics and treatment. An important step towards understanding these mechanisms is the discovery of bacterial effectors, the proteins secreted into the host through one of the six common secretion system types. Unfortunately, current prediction methods are designed to specifically target one of three secretion systems, and no accurate "secretion system-agnostic" method is available. Here, we present PREFFECTOR, a computational feature-based approach to discover effector candidates in Gram-negative bacteria, without prior knowledge on bacterial secretion system(s) or cryptic secretion signals. Our approach was first evaluated using several assessment protocols on a manually curated, balanced dataset of experimentally determined effectors across all six secretion systems, as well as non-effector proteins. The evaluation revealed high accuracy of the top performing classifiers in PREFFECTOR, with the small false positive discovery rate across all six secretion systems. Our method was also applied to six bacteria that had limited knowledge on virulence factors or secreted effectors. PREFFECTOR web-server is freely available at: http://korkinlab.org/preffector.

opencc-zeroSep 2017View details →

zenodo28/100

Supplementary Material for Ph.D. thesis: "Development of a data-intensive centralized system for surveillance and outbreak investigation of bacterial pathogens using whole-genome sequencing""

Supplementary material for Ph.D. thesis.

opencc-by-4.0Aug 2021View details →

dryad28/100

Data from: Combined analysis of variation in core, accessory and regulatory genome regions provides a super-resolution view into the evolution of bacterial populations

The use of whole-genome phylogenetic analysis has revolutionized our understanding of the evolution and spread of many important bacterial pathogens due to the high resolution view it provides. However, the majority of such analyses do not consider the potential role of accessory genes when inferring evolutionary trajectories. Moreover, the recently discovered importance of the switching of gene regulatory elements suggests that an exhaustive analysis, combining information from core and accessory genes with regulatory elements could provide unparalleled detail of the evolution of a bacterial population. Here we demonstrate this principle by applying it to a worldwide multi-host sample of the important pathogenic E. coli lineage ST131. Our approach reveals the existence of multiple circulating subtypes of the major drug–resistant clade of ST131 and provides the first ever population level evidence of core genome substitutions in gene regulatory regions associated with the acquisition and maintenance of different accessory genome elements.

opencc-zeroDec 2015View details →

dryad28/100

Data from: Genome engineering allows selective conversions of terephthalaldehyde to multiple valorized products in bacterial cells

Deconstruction of polyethylene terephthalate (PET) plastic waste generates opportunities for valorization to alternative products. We recently designed an enzymatic cascade that could produce terephthalaldehyde (TPAL) from terephthalic acid. Here, we showed that the addition of TPAL to growing cultures of Escherichia coli wild-type strain MG1655 and an engineered strain for reduced aromatic aldehyde rection (RARE) strain resulted in substantial reduction. We then investigated if we could mitigate this reduction using multiplex automatable genome engineering (MAGE) to create an E. coli strain with 10 additional knockouts in RARE. Encouragingly, we found this newly engineered strain enabled a 2.5-fold higher retention of TPAL over RARE after 24h. We applied this new strain for the production of para-xylylenediamine (pXYL) and observed a 6.8-fold increase in pXYL titer compared to RARE. Overall, our study demonstrates the potential of TPAL as a versatile intermediate in microbial biosynthesis of chemicals that derived from waste PET.

opencc-zeroMay 2023View details →

zenodo28/100

Dataset for the manuscript "In silico evaluation of variant calling methods for bacterial whole genome sequencing"

Input data and associated analysis code for reproducing results reported in the manuscript.

opencc-by-4.0Jun 2023View details →

dryad28/100