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The genome sequence of the food-borne pathogen Campylobacter jejuni reveals hypervariable sequences

TLDR
The genome sequence of C. jejuni NCTC11168 is reported, finding short homopolymeric runs of nucleotides were commonly found in genes encoding the biosynthesis or modification of surface structures, or in closely linked genes of unknown function.
Abstract
Campylobacter jejuni, from the delta-epsilon group of proteobacteria, is a microaerophilic, Gram-negative, flagellate, spiral bacterium—properties it shares with the related gastric pathogen Helicobacter pylori. It is the leading cause of bacterial food-borne diarrhoeal disease throughout the world1. In addition, infection with C. jejuni is the most frequent antecedent to a form of neuromuscular paralysis known as Guillain–Barre syndrome2. Here we report the genome sequence of C. jejuni NCTC11168. C. jejuni has a circular chromosome of 1,641,481 base pairs (30.6% G+C) which is predicted to encode 1,654 proteins and 54 stable RNA species. The genome is unusual in that there are virtually no insertion sequences or phage-associated sequences and very few repeat sequences. One of the most striking findings in the genome was the presence of hypervariable sequences. These short homopolymeric runs of nucleotides were commonly found in genes encoding the biosynthesis or modification of surface structures, or in closely linked genes of unknown function. The apparently high rate of variation of these homopolymeric tracts may be important in the survival strategy of C. jejuni.

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Artemis: sequence visualization and annotation.

TL;DR: Artemis is a DNA sequence visualization and annotation tool that allows the results of any analysis or sets of analyses to be viewed in the context of the sequence and its six-frame translation.
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An Eulerian path approach to DNA fragment assembly

TL;DR: This work abandons the classical “overlap–layout–consensus” approach in favor of a new euler algorithm that, for the first time, resolves the 20-year-old “repeat problem” in fragment assembly.
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Campylobacter jejuni Infections: Update on Emerging Issues and Trends

TL;DR: Infection with Campylobacter jejuni is one of the most common causes of gastroenteritis worldwide; it occurs more frequently than do infections caused by Salmonella species, Shigella species, or Escherichia coli O157:H7.
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Classification and phylogeny of hydrogenases.

TL;DR: Compelling evidence from sequences and structures indicates that the [NiFe]- and [Fe]-H2ases are phylogenetically distinct classes of proteins, which would be consistent with the phylogenetic distinctiveness of the two classes of H2ases.
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Guillain-Barré syndrome.

TL;DR: The data for GBS suggests that the immunologic mechanism can involve molecular mimicry, at least in some GBS variants, and it is likely that multiple mechanisms render the axon vulnerable.
References
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Journal ArticleDOI

Basic Local Alignment Search Tool

TL;DR: A new approach to rapid sequence comparison, basic local alignment search tool (BLAST), directly approximates alignments that optimize a measure of local similarity, the maximal segment pair (MSP) score.
Journal ArticleDOI

tRNAscan-SE: a program for improved detection of transfer RNA genes in genomic sequence.

TL;DR: A program is described, tRNAscan-SE, which identifies 99-100% of transfer RNA genes in DNA sequence while giving less than one false positive per 15 gigabases.
Journal ArticleDOI

Genomic-sequence comparison of two unrelated isolates of the human gastric pathogen Helicobacter pylori

TL;DR: The overall genomic organization, gene order and predicted proteomes (sets of proteins encoded by the genomes) of the two strains are quite similar, and it is found that H. pylori was believed to exhibit a large degree of genomic and allelic diversity, but this is the first such genomic comparison.
Journal ArticleDOI

Microbial gene identification using interpolated Markov models

TL;DR: A new system, GLIMMER, is described, which is more flexible and more powerful than fixed-order Markov methods, which have previously been the primary content-based technique for finding genes in microbial DNA.
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