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Sequencing and analysis of the prolate-headed lactococcal bacteriophage c2 genome and identification of the structural genes.

ABSTRACT: The 22,163-bp genome of the lactococcal prolate-headed phage c2 was sequenced. Thirty-nine open reading frames (ORFs), early and late promoters, and a putative transcription terminator were identified. Twenty-two ORFs were in the early gene region, and 17 were in the late gene region. Putative genes for a DNA polymerase, a recombination protein, a sigma factor protein, a transcription regulatory protein, holin proteins, and a terminase were identified. Transcription of the early and late genes proceeded divergently from a noncoding 611-bp region. A 521-bp fragment contained within the 611-bp intergenic region could act as an origin of replication in Lactococcus lactis. Three major structural proteins, with sizes of 175, 90, and 29 kDa, and eight minor proteins, with sizes of 143, 82, 66, 60, 44, 42, 32, and 28 kDa, were identified. Several of these proteins appeared to be posttranslationally modified by proteolytic cleavage. The 175- and 90-kDa proteins were identified as the major phage head proteins, and the 29- and 60-kDa proteins were identified as the major tail protein and (possibly) the tail adsorption protein, respectively. The head proteins appeared to be covalently linked multimers of the same 30-kDa gene product. Phage c2 and prolate-headed lactococcal phage bIL67 (C. Schouler, S. D. Ehrlich, and M.-C. Chopin, Microbiology 140:3061-3069, 1994) shared 80% nucleotide sequence identity. However, several DNA deletions or insertions which corresponded to the loss or acquisition of specific ORFs, respectively, were noted. The identification of direct nucleotide repeats flanking these sequences indicated that recombination may be important in the evolution of these phages.(ABSTRACT TRUNCATED AT 250 WORDS)

SUBMITTER: Lubbers MW

PROVIDER: S-EPMC167745 | biostudies-other | 1995 Dec

REPOSITORIES: biostudies-other

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Sequencing and analysis of the prolate-headed lactococcal bacteriophage c2 genome and identification of the structural genes.

Lubbers M W MW Waterfield N R NR Beresford T P TP Le Page R W RW Jarvis A W AW

Applied and environmental microbiology 19951201 12

The 22,163-bp genome of the lactococcal prolate-headed phage c2 was sequenced. Thirty-nine open reading frames (ORFs), early and late promoters, and a putative transcription terminator were identified. Twenty-two ORFs were in the early gene region, and 17 were in the late gene region. Putative genes for a DNA polymerase, a recombination protein, a sigma factor protein, a transcription regulatory protein, holin proteins, and a terminase were identified. Transcription of the early and late genes p ...[more]

PMID: 8534101

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Project description:BackgroundThe identification of genes essential for survival is of theoretical importance in the understanding of the minimal requirements for cellular life, and of practical importance in the identification of potential drug targets in novel pathogens. With the great time and expense required for experimental studies aimed at constructing a catalog of essential genes in a given organism, a computational approach which could identify essential genes with high accuracy would be of great value.ResultsWe gathered numerous features which could be generated automatically from genome sequence data and assessed their relationship to essentiality, and subsequently utilized machine learning to construct an integrated classifier of essential genes in both S. cerevisiae and E. coli. When looking at single features, phyletic retention, a measure of the number of organisms an ortholog is present in, was the most predictive of essentiality. Furthermore, during construction of our phyletic retention feature we for the first time explored the evolutionary relationship among the set of organisms in which the presence of a gene is most predictive of essentiality. We found that in both E. coli and S. cerevisiae the optimal sets always contain host-associated organisms with small genomes which are closely related to the reference. Using five optimally selected organisms, we were able to improve predictive accuracy as compared to using all available sequenced organisms. We hypothesize the predictive power of these genomes is a consequence of the process of reductive evolution, by which many parasites and symbionts evolved their gene content. In addition, essentiality is measured in rich media, a condition which resembles the environments of these organisms in their hosts where many nutrients are provided. Finally, we demonstrate that integration of our most highly predictive features using a probabilistic classifier resulted in accuracies surpassing any individual feature.ConclusionUsing features obtainable directly from sequence data, we were able to construct a classifier which can predict essential genes with high accuracy. Furthermore, our analysis of the set of genomes in which the presence of a gene is most predictive of essentiality may suggest ways in which targeted sequencing can be used in the identification of essential genes. In summary, the methods presented here can aid in the reduction of time and money invested in essential gene identification by targeting those genes for experimentation which are predicted as being essential with a high probability.

Dataset Information

Sequencing and analysis of the prolate-headed lactococcal bacteriophage c2 genome and identification of the structural genes.

Publications

Sequencing and analysis of the prolate-headed lactococcal bacteriophage c2 genome and identification of the structural genes.

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