Literature DB >> 24385572

Draft Genome Sequence of the Alga-Aggregating Bacterium Bacillus sp. Strain RP1137.

Ryan J Powell1, Tsvetan R Bachvaroff, Russell T Hill.   

Abstract

Bacillus sp. strain RP1137 is a bacterium that is able to rapidly and efficiently aggregate biofuel-producing microalgae. By 16S rRNA gene sequencing, it was found to be related to the industrially important Bacillus megaterium. Here, we report the draft genome sequence of Bacillus sp. strain RP1137.

Entities:  

Year:  2014        PMID: 24385572      PMCID: PMC3879603          DOI: 10.1128/genomeA.00973-13

Source DB:  PubMed          Journal:  Genome Announc


GENOME ANNOUNCEMENT

The development of algal biofuels is a promising means for sustainably replacing fossil fuels. One of the economic challenges of producing algal biofuel is being able to efficiently harvesting microalgae from the water in which they are growing. Bacillus sp. strain RP1137 is a bacterium that is able to rapidly and efficiently aggregate several biofuel-producing microalgae (1). The bacterium was discovered as a contaminant in the culture of another alga-aggregating bacterium. RP1137 is most closely related to Bacillus megaterium strain PPB7 by 16S rRNA gene sequencing (1). Bacteria within the B. megaterium clade are industrially important organisms. They have been used for the production of penicillin amidase and steroid hydrolases and the aerobic production of vitamin B12 (2). Organisms within this group are often genetically tractable and amenable to large-scale fermentation (2). B. megaterium species are cosmopolitan and can be isolated from sediment, seawater, and freshwater and are found to be associated with eukaryotes (2). The genomic DNA from RP1137 was extracted from an overnight culture grown in marine broth 2216 (BD, Franklin Lakes, NJ) at 30°C in a 125-ml Erlenmeyer flask with shaking at 180 rpm. DNA was extracted using an UltraClean microbial DNA isolation kit (MO-BIO, Carlsbad, CA.). The DNA was sequenced using the Nextera XT kit with 250-bp paired-end read sequencing on an Illumina MiSeq. The 7,878,212 reads comprise a total of 1,831,418,429 nucleotides. The reads were assembled and processed using CLC Genomics Workbench and the PSU galaxy server (3–5), and resulted in 60 contigs of >1,000 bp with 435-fold average coverage. The total size of the resulting assembly was 5,878,785 bases, with a G+C content of 37.5%. The annotation and prediction of genes were done using the Rapid Annotations using Subsystems Technology (RAST) server (6). A total of 6,159 coding sequences were predicted and 14 rRNAs and 92 tRNAs were annotated. The sequence data will be used to help elucidate the aggregation mechanism of RP1137 and to guide directed genetic modification of the strain to increase the efficiency of the aggregation phenotype.

Nucleotide sequence accession number.

The draft genome sequence of Bacillus sp. strain RP1137 was deposited in DDBJ/EMBL/GenBank under the accession no. AXZS00000000.
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1.  Galaxy: a platform for interactive large-scale genome analysis.

Authors:  Belinda Giardine; Cathy Riemer; Ross C Hardison; Richard Burhans; Laura Elnitski; Prachi Shah; Yi Zhang; Daniel Blankenberg; Istvan Albert; James Taylor; Webb Miller; W James Kent; Anton Nekrutenko
Journal:  Genome Res       Date:  2005-09-16       Impact factor: 9.043

Review 2.  Prime time for Bacillus megaterium.

Authors:  P S Vary
Journal:  Microbiology       Date:  1994-05       Impact factor: 2.777

3.  Rapid aggregation of biofuel-producing algae by the bacterium Bacillus sp. strain RP1137.

Authors:  Ryan J Powell; Russell T Hill
Journal:  Appl Environ Microbiol       Date:  2013-07-26       Impact factor: 4.792

4.  Galaxy: a web-based genome analysis tool for experimentalists.

Authors:  Daniel Blankenberg; Gregory Von Kuster; Nathaniel Coraor; Guruprasad Ananda; Ross Lazarus; Mary Mangan; Anton Nekrutenko; James Taylor
Journal:  Curr Protoc Mol Biol       Date:  2010-01

5.  Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences.

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Journal:  Genome Biol       Date:  2010-08-25       Impact factor: 13.583

6.  The RAST Server: rapid annotations using subsystems technology.

Authors:  Ramy K Aziz; Daniela Bartels; Aaron A Best; Matthew DeJongh; Terrence Disz; Robert A Edwards; Kevin Formsma; Svetlana Gerdes; Elizabeth M Glass; Michael Kubal; Folker Meyer; Gary J Olsen; Robert Olson; Andrei L Osterman; Ross A Overbeek; Leslie K McNeil; Daniel Paarmann; Tobias Paczian; Bruce Parrello; Gordon D Pusch; Claudia Reich; Rick Stevens; Olga Vassieva; Veronika Vonstein; Andreas Wilke; Olga Zagnitko
Journal:  BMC Genomics       Date:  2008-02-08       Impact factor: 3.969

  6 in total

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