Literature DB >> 27795248

Multiple Genome Sequences of Important Beer-Spoiling Lactic Acid Bacteria.

Andreas J Geissler1, Jürgen Behr2, Rudi F Vogel1.   

Abstract

Seven strains of important beer-spoiling lactic acid bacteria were sequenced using single-molecule real-time sequencing. Complete genomes were obtained for strains of Lactobacillus paracollinoides, Lactobacillus lindneri, and Pediococcus claussenii The analysis of these genomes emphasizes the role of plasmids as the genomic foundation of beer-spoiling ability.
Copyright © 2016 Geissler et al.

Entities:  

Year:  2016        PMID: 27795248      PMCID: PMC5054319          DOI: 10.1128/genomeA.01077-16

Source DB:  PubMed          Journal:  Genome Announc


GENOME ANNOUNCEMENT

Beer is a harsh environment with which bacteria have to cope, as antibacterial hurdles, such as the low pH and the presence of antibacterial hops, have to be taken. Some lactic acid bacteria (LAB) are capable of growing in and spoiling beer (1, 2). To gain insights into the genomic adaptation of LAB to beer, we sequenced the complete genomes of seven different brewery isolates, comprising three different species. Beer spoilage ability was tested as described previously (3). DNA isolation, sequencing, assembly, annotation, and genome analysis were done as described previously for Lactobacillus backii (4). High-molecular-weight DNA was purified from de Man-Rogosa-Sharpe (MRS) liquid cultures using the Genomic-tip 100/G kit (Qiagen). Single-molecule real-time sequencing (SMRT) (PacBio RS II) was carried out at GATC Biotech (Konstanz, Germany) (5). An insert size of 8 to 12 kb was selected for library creation, resulting in at least 200 Mb of raw data from one to two SMRT cells (1 × 120-min movies) applying P4-C2 chemistry. Assembly was done with SMRT Analysis version 2.2.0.p2, using the Hierarchical Genome Assembly Process (HGAP) (6), and completed by manual curation (https://github.com/PacificBiosciences/Bioinformatics-Training/wiki/Finishing-Bacterial-Genomes). Genomes were annotated using the NCBI Prokaryotic Genome Annotation Pipeline (PGAP) and Rapid Annotations using Subsystems Technology (RAST) (7–9). Genomes were further analyzed with CMG-BioTools, BADGE, and PSORTb (3, 10, 11). Strain characteristics, sequencing statistics, genome information, and accession numbers are listed in Table 1. Chromosome sizes range from 1.39 Mbp for Lactobacillus lindneri to 3.48 Mbp for Lactobacillus paracollinoides, with G+C contents ranging from 34.3 to 47.2%. We found zero to eight plasmids with G+C contents from 34.7 to 44.5% and sizes from 13,353 bp to 57,063 bp. The analysis of RAST-annotated genomes resulted in the following core genomes: Lactobacillus paracollinoides with 2,503 gene families, L. lindneri with 1,305 gene families, and Pediococcus claussenii with 1,687 gene families, while P. claussenii ATCC BAA-344 was also included in the latter calculation (12). Chromosomes encode four complete rRNA operons in case of P. claussenii, five in case of L. paracollinoides, and six for L. lindneri.
TABLE 1 

Strain characteristics, sequencing statistics, genome information, and accession numbers

SpeciesStrainSourceBeer spoilage abilityaBiosample no.bAccession no.cAvg coverage of HGAP assembly (×)Size (Mbp)No. of contigsdG+C content (%)PEGeCDSsf
L. paracollinoidesTMW 1.1979 (DSM 20197)BeerNBSAMN04505735CP014912CP0149141073.32347.02,9532,872
L. paracollinoidesTMW 1.1994Brewery environmentBSAMN04505736CP014915CP0149231023.66946.83,3633,219
L. paracollinoidesTMW 1.1995Pilsner beerBSAMN04505737CP014924CP014932883.75946.63,3783,286
L. lindneriTMW 1.481Brewery environmentBSAMN04505733CP014907CP0149111431.45534.41,4291,387
L. lindneriTMW 1.1993BeerBSAMN04505734CP0148722621.39134.31,3471,305
P. clausseniiTMW 2.53Brewery environmentNB-BSAMN04505731CP014933CP0149351921.95337.11,8951,849
P. clausseniiTMW 2.54Brewery environmentBSAMN04505732CP014936CP0149391461.99437.11,9401,884

NB, nonspoiler; B, spoiler; NB-B, unstable, mostly B.

All BioSamples are part of BioProject PRJNA290141.

Accession numbers are listed for all contigs of each whole genome (as range).

In chromosome plus plasmids and partial plasmids.

PEG, number of protein-encoding genes based on RAST annotation.

CDSs, number of coding sequences (total) based on NCBI PGAP.

Strain characteristics, sequencing statistics, genome information, and accession numbers NB, nonspoiler; B, spoiler; NB-B, unstable, mostly B. All BioSamples are part of BioProject PRJNA290141. Accession numbers are listed for all contigs of each whole genome (as range). In chromosome plus plasmids and partial plasmids. PEG, number of protein-encoding genes based on RAST annotation. CDSs, number of coding sequences (total) based on NCBI PGAP. All seven genomes were compared to each other as well as to the genomes of 17 strains with relevance for beer spoiling, including one P. claussenii, five L. backii, five P. damnosus, and six L. brevis genomes (3, 4, 12–16). We found that the investigated LAB species with relevance for beer spoiling are characterized by different genomic preconditions regarding chromosome size, number of proteins, G+C content, coding density, codon usage, amino acid usage, proteome similarity, chromosome (DNA) similarity, functional pattern (SEED/COG), and subcellular localization of proteins. Regarding chromosomal properties, beer-spoiling LAB species cover the whole diversity within the genus Lactobacillus. In contrast, brewery isolates of the abovementioned species, although to a different extent, share a number of highly homologous plasmid-carried genes, including the important lifestyle markers horA, horC, and fabZ (3, 17, 18). This emphasizes the role of plasmids in beer-spoiling ability (3, 19, 20).

Accession number(s).

The seven complete genomes have been deposited in DDBJ/EMBL/GenBank under the accession numbers listed in Table 1.
  17 in total

1.  Isolation of a hop-sensitive variant of Lactobacillus lindneri and identification of genetic markers for beer spoilage ability of lactic acid bacteria.

Authors:  Koji Suzuki; Kazumaru Iijima; Kazutaka Ozaki; Hiroshi Yamashita
Journal:  Appl Environ Microbiol       Date:  2005-09       Impact factor: 4.792

2.  Nonhybrid, finished microbial genome assemblies from long-read SMRT sequencing data.

Authors:  Chen-Shan Chin; David H Alexander; Patrick Marks; Aaron A Klammer; James Drake; Cheryl Heiner; Alicia Clum; Alex Copeland; John Huddleston; Evan E Eichler; Stephen W Turner; Jonas Korlach
Journal:  Nat Methods       Date:  2013-05-05       Impact factor: 28.547

3.  Hop resistance in the beer spoilage bacterium Lactobacillus brevis is mediated by the ATP-binding cassette multidrug transporter HorA.

Authors:  K Sakamoto; A Margolles; H W van Veen; W N Konings
Journal:  J Bacteriol       Date:  2001-09       Impact factor: 3.490

4.  Role of plasmids in Lactobacillus brevis BSO 464 hop tolerance and beer spoilage.

Authors:  Jordyn Bergsveinson; Nina Baecker; Vanessa Pittet; Barry Ziola
Journal:  Appl Environ Microbiol       Date:  2015-02       Impact factor: 4.792

5.  Complete genome sequence of the beer spoilage organism Pediococcus claussenii ATCC BAA-344T.

Authors:  Vanessa Pittet; Teju Abegunde; Travis Marfleet; Monique Haakensen; Kendra Morrow; Teenus Jayaprakash; Kristen Schroeder; Brett Trost; Sydney Byrns; Jordyn Bergsveinson; Anthony Kusalik; Barry Ziola
Journal:  J Bacteriol       Date:  2012-03       Impact factor: 3.490

6.  PSORTb 3.0: improved protein subcellular localization prediction with refined localization subcategories and predictive capabilities for all prokaryotes.

Authors:  Nancy Y Yu; James R Wagner; Matthew R Laird; Gabor Melli; Sébastien Rey; Raymond Lo; Phuong Dao; S Cenk Sahinalp; Martin Ester; Leonard J Foster; Fiona S L Brinkman
Journal:  Bioinformatics       Date:  2010-05-13       Impact factor: 6.937

7.  Real-time DNA sequencing from single polymerase molecules.

Authors:  John Eid; Adrian Fehr; Jeremy Gray; Khai Luong; John Lyle; Geoff Otto; Paul Peluso; David Rank; Primo Baybayan; Brad Bettman; Arkadiusz Bibillo; Keith Bjornson; Bidhan Chaudhuri; Frederick Christians; Ronald Cicero; Sonya Clark; Ravindra Dalal; Alex Dewinter; John Dixon; Mathieu Foquet; Alfred Gaertner; Paul Hardenbol; Cheryl Heiner; Kevin Hester; David Holden; Gregory Kearns; Xiangxu Kong; Ronald Kuse; Yves Lacroix; Steven Lin; Paul Lundquist; Congcong Ma; Patrick Marks; Mark Maxham; Devon Murphy; Insil Park; Thang Pham; Michael Phillips; Joy Roy; Robert Sebra; Gene Shen; Jon Sorenson; Austin Tomaney; Kevin Travers; Mark Trulson; John Vieceli; Jeffrey Wegener; Dawn Wu; Alicia Yang; Denis Zaccarin; Peter Zhao; Frank Zhong; Jonas Korlach; Stephen Turner
Journal:  Science       Date:  2008-11-20       Impact factor: 47.728

8.  CMG-biotools, a free workbench for basic comparative microbial genomics.

Authors:  Tammi Vesth; Karin Lagesen; Öncel Acar; David Ussery
Journal:  PLoS One       Date:  2013-04-05       Impact factor: 3.240

9.  The SEED and the Rapid Annotation of microbial genomes using Subsystems Technology (RAST).

Authors:  Ross Overbeek; Robert Olson; Gordon D Pusch; Gary J Olsen; James J Davis; Terry Disz; Robert A Edwards; Svetlana Gerdes; Bruce Parrello; Maulik Shukla; Veronika Vonstein; Alice R Wattam; Fangfang Xia; Rick Stevens
Journal:  Nucleic Acids Res       Date:  2013-11-29       Impact factor: 16.971

10.  Multiple Genome Sequences of the Important Beer-Spoiling Species Lactobacillus backii.

Authors:  Andreas J Geissler; Jürgen Behr; Rudi F Vogel
Journal:  Genome Announc       Date:  2016-08-25
View more
  1 in total

Review 1.  D-Lactic Acid as a Metabolite: Toxicology, Diagnosis, and Detection.

Authors:  Miroslav Pohanka
Journal:  Biomed Res Int       Date:  2020-06-17       Impact factor: 3.411

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.