Literature DB >> 28751400

Complete Genome Sequence of the Sourdough Isolate Lactobacillus zymae ACA-DC 3411.

Maria Kazou1, Voula Alexandraki1, Bruno Pot2, Effie Tsakalidou1, Konstantinos Papadimitriou3.   

Abstract

Lactobacillus zymae is a Gram-positive lactic acid bacterium belonging to the Lactobacillus brevis clade. Here, we report the first complete genome sequence of L. zymae ACA-DC 3411, which was isolated from traditional Greek wheat sourdough. Whole-genome analysis may reveal adaptive traits of strain ACA-DC 3411 in the sourdough ecosystem.
Copyright © 2017 Kazou et al.

Entities:  

Year:  2017        PMID: 28751400      PMCID: PMC5532838          DOI: 10.1128/genomeA.00699-17

Source DB:  PubMed          Journal:  Genome Announc


GENOME ANNOUNCEMENT

Lactobacillus zymae is a heterofermentative lactic acid bacterium (LAB) species found in fermented foods (1–4), which was transferred from the Lactobacillus buchneri clade to the Lactobacillus brevis clade, according to a recent 16S rRNA phylogenetic analysis of lactobacilli (5). L. zymae ACA-DC 3411 was isolated from traditional Greek wheat sourdough manufactured without baker’s yeast (3, 4). Sourdough has a complex microflora consisting of LAB and yeast species, with lactobacilli being among the most significant group of microorganisms in sourdough fermentation. LAB are mainly involved in dough acidification, whereas yeasts and heterofermentative LAB species participate in the leavening process (6). Analysis of the ACA-DC 3411 genome could prove useful to understand its adaptation in the sourdough environment. Whole-genome sequencing was performed using the Illumina HiSeq 2000 platform and three paired-end libraries with insert sizes of 500 bp, 2,000 bp, and 6,000 bp at the Beijing Genomics Institute (BGI Co., Ltd., Hong Kong). After filtering, the reads were assembled with the SOAPdenovo version 2.04 software, and the resulting contigs were placed into superscaffolds (7, 8). The assembly was validated using the whole-genome optical map of the strain (9). The map was generated at Microbion SRL (Verona, Italy), and the alignment between the assembly and the optical map was created with the Argus optical mapping system (OpGen Technologies, Inc., Madison, WI). Prediction of protein-coding genes was carried out using Prodigal (10), MetaGeneAnnotator (11) FGENESB (12), and RAST version 2.0, with RAST also being used for the genome annotation and prediction of rRNA and tRNA genes (13). Furthermore, genes were evaluated with the GenePRIMP pipeline for annotation anomalies, including putative pseudogenes (14). Functional annotation of the genome was performed with the WebMGA server (15), the IslandViewer 4 Web-based resource (16), the Phobius Web server (17), and the Pfam database (18) for COG annotation, genomic islands, genes with signal peptides and transmembrane helices, and genes with Pfam domains, respectively. The genome sequence of ACA-DC 3411 consisted of 2,734,129 bp, with a G+C content of 52.9%. A total of 2,584 genes were identified in the genome, including 2,424 protein-coding genes, 91 potential pseudogenes, 15 rRNA genes, and 54 tRNA genes. According to the COG results, 1,930 protein-coding genes (approximately 80%) were assigned to a putative functional category, with the most abundant being related to replication, recombination, and repair (14%). Moreover, 19 integrated genomic islands were predicted in the ACA-DC 3411 genome, containing a total of 265 genes potentially acquired through horizontal gene transfer. Fifty-six of these genes code for hypothetical proteins, and the rest are of variable function. Additionally, the analysis revealed that the genome contains also 285 protein-coding genes with signal peptides, 545 with transmembrane helices, and 2,012 with Pfam domains. Further analysis of the ACA-DC 3411 genome may reveal the technological potential of the strain for sourdough fermentation.

Accession number(s).

The genome sequence of L. zymae ACA-DC 3411 is deposited at the European Nucleotide Archive under the accession number LT854705.
  16 in total

1.  GenePRIMP: a gene prediction improvement pipeline for prokaryotic genomes.

Authors:  Amrita Pati; Natalia N Ivanova; Natalia Mikhailova; Galina Ovchinnikova; Sean D Hooper; Athanasios Lykidis; Nikos C Kyrpides
Journal:  Nat Methods       Date:  2010-05-02       Impact factor: 28.547

2.  SOAP2: an improved ultrafast tool for short read alignment.

Authors:  Ruiqiang Li; Chang Yu; Yingrui Li; Tak-Wah Lam; Siu-Ming Yiu; Karsten Kristiansen; Jun Wang
Journal:  Bioinformatics       Date:  2009-06-03       Impact factor: 6.937

3.  Lactobacillus acidifarinae sp. nov. and Lactobacillus zymae sp. nov., from wheat sourdoughs.

Authors:  M Vancanneyt; P Neysens; M De Wachter; K Engelbeen; C Snauwaert; I Cleenwerck; R Van der Meulen; B Hoste; E Tsakalidou; L De Vuyst; J Swings
Journal:  Int J Syst Evol Microbiol       Date:  2005-03       Impact factor: 2.747

4.  Prodigal: prokaryotic gene recognition and translation initiation site identification.

Authors:  Doug Hyatt; Gwo-Liang Chen; Philip F Locascio; Miriam L Land; Frank W Larimer; Loren J Hauser
Journal:  BMC Bioinformatics       Date:  2010-03-08       Impact factor: 3.169

5.  MetaGeneAnnotator: detecting species-specific patterns of ribosomal binding site for precise gene prediction in anonymous prokaryotic and phage genomes.

Authors:  Hideki Noguchi; Takeaki Taniguchi; Takehiko Itoh
Journal:  DNA Res       Date:  2008-10-21       Impact factor: 4.458

6.  SOAPdenovo2: an empirically improved memory-efficient short-read de novo assembler.

Authors:  Ruibang Luo; Binghang Liu; Yinlong Xie; Zhenyu Li; Weihua Huang; Jianying Yuan; Guangzhu He; Yanxiang Chen; Qi Pan; Yunjie Liu; Jingbo Tang; Gengxiong Wu; Hao Zhang; Yujian Shi; Yong Liu; Chang Yu; Bo Wang; Yao Lu; Changlei Han; David W Cheung; Siu-Ming Yiu; Shaoliang Peng; Zhu Xiaoqian; Guangming Liu; Xiangke Liao; Yingrui Li; Huanming Yang; Jian Wang; Tak-Wah Lam; Jun Wang
Journal:  Gigascience       Date:  2012-12-27       Impact factor: 6.524

7.  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

8.  Advantages of combined transmembrane topology and signal peptide prediction--the Phobius web server.

Authors:  Lukas Käll; Anders Krogh; Erik L L Sonnhammer
Journal:  Nucleic Acids Res       Date:  2007-05-05       Impact factor: 16.971

9.  IslandViewer 3: more flexible, interactive genomic island discovery, visualization and analysis.

Authors:  Bhavjinder K Dhillon; Matthew R Laird; Julie A Shay; Geoffrey L Winsor; Raymond Lo; Fazmin Nizam; Sheldon K Pereira; Nicholas Waglechner; Andrew G McArthur; Morgan G I Langille; Fiona S L Brinkman
Journal:  Nucleic Acids Res       Date:  2015-04-27       Impact factor: 16.971

10.  The Pfam protein families database: towards a more sustainable future.

Authors:  Robert D Finn; Penelope Coggill; Ruth Y Eberhardt; Sean R Eddy; Jaina Mistry; Alex L Mitchell; Simon C Potter; Marco Punta; Matloob Qureshi; Amaia Sangrador-Vegas; Gustavo A Salazar; John Tate; Alex Bateman
Journal:  Nucleic Acids Res       Date:  2015-12-15       Impact factor: 16.971

View more
  1 in total

1.  Identification, Classification and Screening for γ-Amino-butyric Acid Production in Lactic Acid Bacteria from Cambodian Fermented Foods.

Authors:  Dalin Ly; Sigrid Mayrhofer; I B Agung Yogeswara; Thu-Ha Nguyen; Konrad J Domig
Journal:  Biomolecules       Date:  2019-11-22
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.