Draft Genome Sequence of Environmental Isolate Acinetobacter nosocomialis U20-HoPe-S34-3 from Germany

The draft genome sequence of Acinetobacter nosocomialis U20-HoPe-S34-3, isolated from soil sampled from the banks of the river Holtemme in Germany, is provided. The strain has an average nucleotide identity of 98.3% to the type strain of the species.

PredicTF: a tool to predict bacterial transcription factors in complex microbial communities

Transcription Factors (TFs) are proteins that control the flow of genetic information by regulating cellular gene expression. Here we describe PredicTF, a first platform supporting the prediction and classification of novel bacterial TF in complex microbial communities. We evaluated PredicTF using a two-step approach. First, we tested PredictTF’s ability to predict TFs for the genome of an environmental isolate. In the second evaluation step, PredicTF was used to predict TFs in a metagenome and 11 metatranscriptomes recovered from a community performing anaerobic ammonium oxidation (anammox) in a bioreactor. PredicTF is open source pipeline available at https://github.com/mdsufz/PredicTF.

Estimation of pathogenic potential of an environmental Pseudomonas aeruginosa isolate using comparative genomics

The isolation and sequencing of new strains of Pseudomonas aeruginosa created an extensive dataset of closed genomes. Many of the publicly available genomes are only used in their original publication while additional in silico information, based on comparison to previously published genomes, is not being explored. In this study, we defined and investigated the genome of the environmental isolate P. aeruginosa KRP1 and compared it to more than 100 publicly available closed P. aeruginosa genomes. By using different genomic island prediction programs, we could identify a total of 17 genomic islands and 8 genomic islets, marking the majority of the accessory genome that covers ~ 12% of the total genome. Based on intra-strain comparisons, we are able to predict the pathogenic potential of this environmental isolate. It shares a substantial amount of genomic information with the highly virulent PSE9 and LESB58 strains. For both of these, the increased virulence has been directly linked to their accessory genome before. Hence, the integrated use of previously published data can help to minimize expensive and time consuming wetlab work to determine the pathogenetic potential.

Estimation of pathogenic potential of an environmental Pseudomonas aeruginosa isolate using comparative genomics

BackgroundNew strains of Pseudomonas aeruginosa are continuously being isolated and sequenced to increase the genomic accessibility of this important pathogen. This has led to the generation of an impressive dataset of closed P. aeruginosa genomes. To understand the difference between the strains, investigations are focused on the accessory genome, thereby constantly extending the known pan genome of P. aeruginosa as a species. Apart from follow-up studies, many of the publicly available genomes are only used in their original publication while additional in silico information, based on comparison to previously published genomes, is not being explored. In this study, we defined and investigated the genome of the environmental isolate P. aeruginosa KRP1 and compared it to more than 100 publicly available closed P. aeruginosa genomes. ResultsPseudomonas spp. KRP1 could clearly be identified as a P. aeruginosa isolate, via comparative genomics. By using different genomic island prediction programs, we could identify a total of 25 genomic islands that cover ~12% of the genome of P. aeruginosa KRP1. Based on intra-strain comparisons, we are able to predict the pathogenic potential of this environmental isolate. It shares a substantial amount of its genomic information with the highly virulent PSE9 and LESB58 strains. For both of these clones, their increased virulence has been directly linked to their accessory genome before. ConclusionsHere we show, how the integrated use of previously published genomic data today, can help to replace expensive and time consuming wetlab work to determine the pathogenetic potential of environmental isolates. This knowledge is vital to understand what makes an isolate a potential pathogen as it helps design effective treatment.

Complete Genome Sequence of Oyster Isolate Vibrio vulnificus Env1

ABSTRACT Vibrio vulnificus, a ubiquitous inhabitant of coastal marine environments, has been isolated from a variety of sources. It is an opportunistic pathogen of both marine animals and humans. Here, the genome sequence of V. vulnificus Env1, an environmental isolate resistant to predation by the ciliate Tetrahymena pyriformis, is reported.