Biomedical subjects

Jonathan Livny

Publications and source records attributed to Jonathan Livny.

5 recordsLinked to original sources

PubMed2006

Global gene expression and phenotypic analysis of a Vibrio cholerae rpoH deletion mutant.

Vibrio cholerae, the cause of cholera, can grow in a variety of environments outside of human hosts. During infection, this pathogen must adapt to significant environmental alterations, including the elevated temperature of the human gastrointestinal tract. Sigma(32), an alternative sigma factor encoded by rpoH, activates transcription of genes involved in the heat shock response in several bacterial species. Here, we assessed the role of sigma(32) in V. cholerae physiology. In aggregate, our findings suggest that sigma(32) promotes V. cholerae growth at temperatures ranging at least from 15 degrees C to 42 degrees C. Growth of the rpoH mutant was severely attenuated within the suckling mouse intestine, suggesting that sigma(32)-regulated genes are critical for V. cholerae adaptation to conditions within the gastrointestinal tract. We defined the V. cholerae RpoH regulon by comparing the whole-genome transcription profiles of the wild-type and rpoH mutant strains after a temperature up-shift. Most of the V. cholerae genes expressed in an RpoH-dependent manner after heat shock encode proteins that influence protein fate, such as proteases and chaperones, or are of unknown function. Bioinformatic analyses of the microarray data were used to define a putative sigma(32) consensus binding sequence and subsequently to identify genes that are likely to be directly regulated by RpoH in the whole V. cholerae genome.

Animals↗

PubMed2006

Identification of 17 Pseudomonas aeruginosa sRNAs and prediction of sRNA-encoding genes in 10 diverse pathogens using the bioinformatic tool sRNAPredict2.

sRNAs are small, non-coding RNA species that control numerous cellular processes. Although it is widely accepted that sRNAs are encoded by most if not all bacteria, genome-wide annotations for sRNA-encoding genes have been conducted in only a few of the nearly 300 bacterial species sequenced to date. To facilitate the efficient annotation of bacterial genomes for sRNA-encoding genes, we developed a program, sRNAPredict2, that identifies putative sRNAs by searching for co-localization of genetic features commonly associated with sRNA-encoding genes. Using sRNAPredict2, we conducted genome-wide annotations for putative sRNA-encoding genes in the intergenic regions of 11 diverse pathogens. In total, 2759 previously unannotated candidate sRNA loci were predicted. There was considerable range in the number of sRNAs predicted in the different pathogens analyzed, raising the possibility that there are species-specific differences in the reliance on sRNA-mediated regulation. Of 34 previously unannotated sRNAs predicted in the opportunistic pathogen Pseudomonas aeruginosa, 31 were experimentally tested and 17 were found to encode sRNA transcripts. Our findings suggest that numerous genes have been missed in the current annotations of bacterial genomes and that, by using improved bioinformatic approaches and tools, much remains to be discovered in 'intergenic' sequences.

Computational Biology↗

PubMed2005

sRNAPredict: an integrative computational approach to identify sRNAs in bacterial genomes.

Small non-coding bacterial RNAs (sRNAs) play important regulatory roles in a variety of cellular processes. Nearly all known sRNAs have been identified in Escherichia coli and most of these are not conserved in the majority of other bacterial species. Many of the E.coli sRNAs were initially predicted through bioinformatic approaches based on their common features, namely that they are encoded between annotated open reading frames and are flanked by predictable transcription signals. Because promoter consensus sequences are undetermined for most species, the successful use of bioinformatics to identify sRNAs in bacteria other than E.coli has been limited. We have created a program, sRNAPredict, which uses coordinate-based algorithms to integrate the respective positions of individual predictive features of sRNAs and rapidly identify putative intergenic sRNAs. Relying only on sequence conservation and predicted Rho-independent terminators, sRNAPredict was used to search for sRNAs in Vibrio cholerae. This search identified 9 of the 10 known or putative V.cholerae sRNAs and 32 candidates for novel sRNAs. Small transcripts for 6 out of 9 candidate sRNAs were observed by Northern analysis. Our findings suggest that sRNAPredict can be used to efficiently identify novel sRNAs even in bacteria for which promoter consensus sequences are not available.

Algorithms↗

PubMed2004

Characterizing spontaneous induction of Stx encoding phages using a selectable reporter system.

Shiga toxin (Stx) genes in Stx producing Escherichia coli (STEC) are encoded in prophages of the lambda family, such as H-19B. The subpopulation of STEC lysogens with induced prophages has been postulated to contribute significantly to Stx production and release. To study induced STEC, we developed a selectable in vivo expression technology, SIVET, a reporter system adapted from the RIVET system. The SIVET lysogen has a defective H-19B prophage encoding the TnpR resolvase gene downstream of the phage PR promoter and a cat gene with an inserted tet gene flanked by targets for the TnpR resolvase. Expression of resolvase results in excision of tet, restoring a functional cat gene; induced lysogens survive and are chloramphenicol resistant. Using SIVET we show that: (i) approximately 0.005% of the H-19B lysogens are spontaneously induced per generation during growth in LB. (ii) Variations in cellular physiology (e.g. RecA protein) rather than in levels of expressed repressor explain why members of a lysogen population are spontaneously induced. (iii) A greater fraction of lysogens with stx encoding prophages are induced compared to lysogens with non-Stx encoding prophages, suggesting increased sensitivity to inducing signal(s) has been selected in Stx encoding prophages. (iv) Only a small fraction of the lysogens in a culture spontaneously induce and when the lysogen carries two lambdoid prophages with different repressor/operators, 933W and H-19B, usually both prophages in the same cell are induced.

Animals↗

PubMed2002

Bacteriophage control of Shiga toxin 1 production and release by Escherichia coli.

The stx genes of many Shiga toxin-encoding Escherichia coli (STEC) strains are encoded by prophages of the lambda bacteriophage family. In the genome of the Stx1-encoding phage H-19B, the stx(1)AB genes are found approximately 1 kb downstream of the late phage promoter, p(R)', but are known to be regulated by the associated iron-regulated promoter, p(Stx1). Growth of H-19B lysogens in low iron concentrations or in conditions that induce the prophage results in increased Stx1 production. Although the mechanism by which low iron concentration induces Stx1 production is well understood, the mechanisms by which phage induction enhances toxin production have not been extensively characterized. The studies reported here identify the factors that contribute to Stx1 production after induction of the H-19B prophage. We found that replication of the phage genome, with the associated increase in stx(1)AB copy number, is the most quantitatively important mechanism by which H-19B induction increases Stx1 production. Three promoters are shown to be involved in stx(1)AB transcription after phage induction, the iron-regulated p(Stx1) and the phage-regulated p(R) and p(R)' promoters, the relative importance of which varies with environmental conditions. Late phage transcription initiating at the p(R)' promoter, contrary to previous findings in the related Stx2-encoding phage phi 361, was found to be unnecessary for high-level Stx1 production after phage induction. Finally, we present evidence that phage-mediated lysis regulates the quantity of Stx1 produced by determining the duration of Stx1 accumulation and provides a mechanism for Stx1 release. By amplifying stx(1)AB copy number, regulating stx(1)AB transcription and allowing for Stx1 release, the biology of the Stx-encoding phages contributes greatly to the production of Stx, the principal virulence factor of STEC.

Bacteriophage lambda↗