Literature DB >> 24874673

Genome Sequence of Sporolactobacillus terrae DSM 11697, the Type Strain of the Species.

Kaiming Huang1, Jun Ni1, Ke Xu1, Hongzhi Tang2, Fei Tao1, Ping Xu1.   

Abstract

Sporolactobacillus terrae DSM 11697 is the type strain of S. terrae. Here, we present a 3.2-Mb assembly of its genome sequence. As S. terrae is one of the important lactic acid bacteria, the genome sequence may provide insights into the molecular mechanism for its further microbial investigation.
Copyright © 2014 Huang et al.

Entities:  

Year:  2014        PMID: 24874673      PMCID: PMC4038878          DOI: 10.1128/genomeA.00465-14

Source DB:  PubMed          Journal:  Genome Announc


GENOME ANNOUNCEMENT

Members of the genus Sporolactobacillus have been defined as catalase-negative, spore-forming, homofermentative, lactic acid-producing organisms that belong to the family Lactobacillaceae (1). Six species in the genus Sporolactobacillus have been reported, including S. inulinus, S. kofuensis, S. lactosus, S. laevolacticus, S. nakayamae, and S. terrae (2). Members of the genus Sporolactobacillus are known for their high-optical-purity lactic acid-producing capabilities; thus, they have been suggested to be good producers of lactic acid (3). Lactic acid is widely used in the food, pharmaceutical, textile, and leather industries; moreover, it is a building block for a biodegradable plastic, polylactic acid (4, 5). As the type strain of S. terrae, strain DSM 11697 produces the acid from maltose, inulin, mannose, trehalose, and galactose, but not from raffinose (6). On the contrary, a different S. terrae strain, HKM-1, was newly isolated, which can produce the acid from raffinose but not from the other five carbon sources. To better understand the biochemical and physiological differences of these two S. terrae strains, we sequenced the genome of strain DSM 11697. The draft genome sequence of S. terrae DSM 11697 was obtained using the Illumina GA system. Sequencing was performed by the Chinese National Human Genome Center at Shanghai, China, with a paired-end library. The reads were assembled using the Velvet software (7). The genome was annotated using the Rapid Annotations using Subsystems Technology (RAST) automated annotation server (8). The G+C content was calculated using the genome sequence. The functional description was determined by using Clusters of Orthologous Genes (9). rRNA and tRNA genes were identified by RNAmmer 1.2 (10) and tRNAscan-SE (11), respectively. The genome sequence of DSM 11697 has a G+C content of 46.03%. The number of contigs (>100 bp) is 102, and the number of bases is 3,204,401. There are 3,386 putative coding sequences (CDSs) (818 bp average length), with 3,310 CDSs having functional predictions, 63 tRNA genes, and 7 rRNA operons in the genome sequence. There are 377 subsystems represented in the genome sequence. The genes encoding proteins responsible for the production of lactic acid were successfully annotated. The gyrB gene encodes subunit B of gyrase and is distributed universally in all bacteria, with an average substitution rate of 0.7% to 0.8% per million years (12). We also annotated the gyrB gene of S. terrae DSM 11697 and confirmed it by PCR and sequencing. Although there are no differences between the 16S rRNA genes of S. terrae DSM 11697 and S. terrae HKM-1, according to sequence alignment, there are two distinct bases in the gyrB gene. The obtained genome sequence provides weighty evidence to distinguish S. terrae DSM 11697 and S. terrae HKM-1, as well as useful information for their further microbial investigation.

Nucleotide sequence accession numbers.

This whole-genome shotgun project has been deposited at DDBJ/EMBL/GenBank under the accession no. JFZC00000000. The version described in this paper is the first version, with accession no. JFZC01000000.
  10 in total

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Authors: 
Journal:  Genome Inform Ser Workshop Genome Inform       Date:  1998

2.  Velvet: algorithms for de novo short read assembly using de Bruijn graphs.

Authors:  Daniel R Zerbino; Ewan Birney
Journal:  Genome Res       Date:  2008-03-18       Impact factor: 9.043

3.  Highly efficient production of D-lactate by Sporolactobacillus sp. CASD with simultaneous enzymatic hydrolysis of peanut meal.

Authors:  Limin Wang; Bo Zhao; Fengsong Li; Ke Xu; Cuiqing Ma; Fei Tao; Qinggang Li; Ping Xu
Journal:  Appl Microbiol Biotechnol       Date:  2010-10-07       Impact factor: 4.813

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

Authors:  T M Lowe; S R Eddy
Journal:  Nucleic Acids Res       Date:  1997-03-01       Impact factor: 16.971

5.  Production of D-lactic acid by bacterial fermentation of rice starch.

Authors:  Kazuki Fukushima; Kazuaki Sogo; Shigenobu Miura; Yoshiharu Kimura
Journal:  Macromol Biosci       Date:  2004-11-20       Impact factor: 4.979

6.  Sporolactobacillus vineae sp. nov., a spore-forming lactic acid bacterium isolated from vineyard soil.

Authors:  Young-Hyo Chang; Min Young Jung; In-Soon Park; Hee-Mock Oh
Journal:  Int J Syst Evol Microbiol       Date:  2008-10       Impact factor: 2.747

7.  Enhanced stereocomplex formation of poly(L-lactic acid) and poly(D-lactic acid) in the presence of stereoblock poly(lactic acid).

Authors:  Kazuki Fukushima; Yoon-Hee Chang; Yoshiharu Kimura
Journal:  Macromol Biosci       Date:  2007-06-07       Impact factor: 4.979

8.  RNAmmer: consistent and rapid annotation of ribosomal RNA genes.

Authors:  Karin Lagesen; Peter Hallin; Einar Andreas Rødland; Hans-Henrik Staerfeldt; Torbjørn Rognes; David W Ussery
Journal:  Nucleic Acids Res       Date:  2007-04-22       Impact factor: 16.971

9.  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

10.  The COG database: an updated version includes eukaryotes.

Authors:  Roman L Tatusov; Natalie D Fedorova; John D Jackson; Aviva R Jacobs; Boris Kiryutin; Eugene V Koonin; Dmitri M Krylov; Raja Mazumder; Sergei L Mekhedov; Anastasia N Nikolskaya; B Sridhar Rao; Sergei Smirnov; Alexander V Sverdlov; Sona Vasudevan; Yuri I Wolf; Jodie J Yin; Darren A Natale
Journal:  BMC Bioinformatics       Date:  2003-09-11       Impact factor: 3.169

  10 in total

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