scispace - formally typeset
Open AccessJournal ArticleDOI

Complete genome sequence of the industrial bacterium Bacillus licheniformis and comparisons with closely related Bacillus species

Reads0
Chats0
TLDR
Despite the unmistakable organizational similarities between the B. licheniformis and B. subtilis genomes, there are notable differences in the numbers and locations of prophages, transposable elements and a number of extracellular enzymes and secondary metabolic pathway operons that distinguish these species.
Abstract
Bacillus licheniformis is a Gram-positive, spore-forming soil bacterium that is used in the biotechnology industry to manufacture enzymes, antibiotics, biochemicals and consumer products. This species is closely related to the well studied model organism Bacillus subtilis, and produces an assortment of extracellular enzymes that may contribute to nutrient cycling in nature. We determined the complete nucleotide sequence of the B. licheniformis ATCC 14580 genome which comprises a circular chromosome of 4,222,336 base-pairs (bp) containing 4,208 predicted protein-coding genes with an average size of 873 bp, seven rRNA operons, and 72 tRNA genes. The B. licheniformis chromosome contains large regions that are colinear with the genomes of B. subtilis and Bacillus halodurans, and approximately 80% of the predicted B. licheniformis coding sequences have B. subtilis orthologs. Despite the unmistakable organizational similarities between the B. licheniformis and B. subtilis genomes, there are notable differences in the numbers and locations of prophages, transposable elements and a number of extracellular enzymes and secondary metabolic pathway operons that distinguish these species. Differences include a region of more than 80 kilobases (kb) that comprises a cluster of polyketide synthase genes and a second operon of 38 kb encoding plipastatin synthase enzymes that are absent in the B. licheniformis genome. The availability of a completed genome sequence for B. licheniformis should facilitate the design and construction of improved industrial strains and allow for comparative genomics and evolutionary studies within this group of Bacillaceae.

read more

Content maybe subject to copyright    Report

Citations
More filters
Journal ArticleDOI

Biosynthesis of silver nanocrystals by Bacillus licheniformis.

TL;DR: Using the bacterium Bacillus licheniformis, the biosynthesis of silver nanoparticles was investigated and the formation of well-dispersedsilver nanoparticles of 50 nm was revealed, and the presence of silver was confirmed by EDX analysis.
Journal ArticleDOI

Bacillus As Potential Probiotics: Status, Concerns, and Future Perspectives.

TL;DR: The growing need to evaluate the safety of individual Bacillus strains as well as species on a case by case basis and necessity of more profound analysis for the selection and identification of Bacillus probiotic candidates are also taken into consideration.
Journal ArticleDOI

Ecology and genomics of Bacillus subtilis

TL;DR: The goal of identifying ecologically adaptive genes could soon be realized with the imminent release of several new B. subtilis genome sequences, and this work reviews what is currently known about the ecology and evolution of this species.
References
More filters
Journal ArticleDOI

The Pfam protein families database

TL;DR: The definition and use of family-specific, manually curated gathering thresholds are explained and some of the features of domains of unknown function (also known as DUFs) are discussed, which constitute a rapidly growing class of families within Pfam.
Journal ArticleDOI

Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes

TL;DR: A new membrane protein topology prediction method, TMHMM, based on a hidden Markov model is described and validated, and it is discovered that proteins with N(in)-C(in) topologies are strongly preferred in all examined organisms, except Caenorhabditis elegans, where the large number of 7TM receptors increases the counts for N(out)-C-in topologies.
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

Identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sites.

TL;DR: A new method for the identification of signal peptides and their cleavage sites based on neural networks trained on separate sets of prokaryotic and eukaryotic sequence that performs significantly better than previous prediction schemes and can easily be applied on genome-wide data sets.

SHORT COMMUNICATION Identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sites

TL;DR: In this paper, a new method for the identification of in performance compared with the weight matrix method signal peptides and their cleavage sites based on neural (Arrigo et al., 1991; Ladunga et al, 1991; Schneider and networks trained on separate sets of prokaryotic and eukaryotic sequence.
Related Papers (5)

The complete genome sequence of the Gram-positive bacterium Bacillus subtilis

F. Kunst, +154 more
- 20 Nov 1997 -