Literature DB >> 28495767

Complete Genome Sequences of 12 Isolates of Listeria monocytogenes Belonging to Serotypes 1/2a, 1/2b, and 4b Obtained from Food Products and Food-Processing Environments in Canada.

Walid Mottawea1,2, Shu Chen3, Saleema Saleh-Lakha3, Sebastien Belanger4, Dele Ogunremi5.   

Abstract

Listeria monocytogenes is the etiological agent for an often fatal foodborne illness known as listeriosis. Here, we present the complete genome sequences of 12 L. monocytogenes isolates representing the three most common serotypes of this pathogen (1/2a, 1/2b, and 4b), collected in Canada from different food products and environmental sources. © Crown copyright 2017.

Entities:  

Year:  2017        PMID: 28495767      PMCID: PMC5427202          DOI: 10.1128/genomeA.00258-17

Source DB:  PubMed          Journal:  Genome Announc


GENOME ANNOUNCEMENT

Listeriosis, a life-threatening infection caused by Listeria monocytogenes, results in one of the highest mortality rates among foodborne illnesses in Canada, with an average of 44 deaths each year (90% probability intervals: 31-76 deaths) (1). In order to reduce the risk of listeriosis, studies aimed at understanding the nature and behavior of the causative bacterial organism at the genomic level are necessary. L. monocytogenes is a ubiquitous, Gram-positive bacterium commonly found in natural environments such as plants, soil, and surface water, from where it contaminates agricultural products, food-processing environments, and foods such as fresh produce and ready-to-eat meat and milk, leading to possible human exposure (2). More than 95% of human clinical cases are associated with three serotypes of L. monocytogenes: 1/2a, 1/2b, and 4b (3). Here, we report the complete genome sequences of 12 L. monocytogenes isolates belonging to these serotypes. The strains were collected from foods and food-processing environments in Canada during the period from 2002 to 2009 as part of routine testing procedures carried out by the Agriculture and Food Laboratory in Guelph, Ontario, Canada. Strains were selected to represent both predominant and unique genotypes among over 2,400 strains tested during a comprehensive genotypic analysis (4). Genomic DNA samples were extracted from overnight cultures of the 12 L. monocytogenes strains using the Wizard Genomic DNA purification Kit (Promega, Madison, WI, USA). Each isolate was sequenced using PacBio (Pacific BioSciences Inc., Menlo Park, CA, USA) and Illumina MiSeq (Illumina Inc., San Diego, CA, USA) technologies, as per standard protocols in 2013, and assembled independently. The PacBio reads were assembled with the Celera assembler using the HGAP/Quiver protocol (5) and corrected with Illumina sequence data. The Illumina reads, on the other hand, were assembled using the hybrid approach as previously described (6). The final corrected genome for each chromosome was developed by aligning an in silico map of the Illumina read-corrected PacBio assembly with the map of the corresponding, independently assembled Illumina sequence against an optical, de novo whole-genome map. The map consisted of NheI restriction sites and was developed using the Argus optical mapping system (OpGen Inc., Gaithersburg, MD, USA), and the analysis was done using the MapSolver software. The nucleotide sequences of all detected gaps and misalignments were corrected using Clone Manager software (Professional edition, Scientific and Educational Software, Cary, NC, USA). The generated genomes range from 2,913,947 to 3,072,093 bp with a GC content of 37.95 ± 0.02% (average ± standard error of the mean [SEM]). We used the Rapid Annotations using Subsystem Technology server (7– 9) to annotate each genome. We identified 2,944 ± 21.6 (average ± SEM) protein-coding sequences and 64 ± 1.29 (average ± SEM) tRNAs per genome. Alignment of all 12 genome sequences using the Mauve system of multiple genome alignment (10) demonstrated clustering based on serotypes. Average nucleotide identity analysis (http://enve-omics.ce.gatech.edu/ani) confirmed similarities within each serotype (1/2a: 98.60 to 98.99%, n = 5; 1/2b: 99.44 to 99.94%, n = 3; 4b: 99.47 to 99.60%, n = 4) and was able to differentiate between serotype 1/2a and the other two serotypes (versus 1/2b: 94.32 to 94.47%; versus 4b: 94.19 to 94.35%); however, serotypes 1/2b and 4b were very similar (99.42 to 99.57%). A complete comparative genomic study of the 12 strains will be presented elsewhere.

Accession number(s).

The complete genome sequences of these 12 L. monocytogenes isolates were deposited in GenBank under BioProject no. PRJNA 371291. Accession numbers are shown for each isolate in Table 1 (CP019614 to CP019625).
TABLE 1 

GenBank accession numbers of 12 L. monocytogenes isolates from food products and food-processing environments

IsolateIdentification sourceSerotypeGenBank accession no.
10-092876-1559Chicken breast1/2aCP019614
10-092876-0168Sprouts1/2bCP019615
10-092876-1063Baby spinach4bCP019616
10-092876-0055Environmental swab1/2aCP019617
10-092876-0731Environmental sponge1/2aCP019618
10-092876-1155Environmental swab4bCP019619
10-092876-1547Environmental swab4bCP019620
10-092876-1235Baby spinach1/2aCP019621
10-092876-0145Ground beef1/2bCP019622
10-092876-1763Chicken breast1/2aCP019623
10-092876-1016Ready-to-eat fermented meat1/2bCP019624
10-092876-0769Environmental sponge4bCP019625
GenBank accession numbers of 12 L. monocytogenes isolates from food products and food-processing environments
  10 in total

1.  Mauve: multiple alignment of conserved genomic sequence with rearrangements.

Authors:  Aaron C E Darling; Bob Mau; Frederick R Blattner; Nicole T Perna
Journal:  Genome Res       Date:  2004-07       Impact factor: 9.043

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.  Subtyping of a large collection of historical Listeria monocytogenes strains from Ontario, Canada, by an improved multilocus variable-number tandem-repeat analysis (MLVA).

Authors:  S Saleh-Lakha; V G Allen; J Li; F Pagotto; J Odumeru; E Taboada; M Lombos; K C Tabing; B Blais; D Ogunremi; G Downing; S Lee; A Gao; C Nadon; S Chen
Journal:  Appl Environ Microbiol       Date:  2013-08-16       Impact factor: 4.792

Review 4.  Listeria monocytogenes lineages: Genomics, evolution, ecology, and phenotypic characteristics.

Authors:  Renato H Orsi; Henk C den Bakker; Martin Wiedmann
Journal:  Int J Med Microbiol       Date:  2010-08-13       Impact factor: 3.473

5.  Identification of Surface Protein Biomarkers of Listeria monocytogenes via Bioinformatics and Antibody-Based Protein Detection Tools.

Authors:  Cathy X Y Zhang; Brian W Brooks; Hongsheng Huang; Franco Pagotto; Min Lin
Journal:  Appl Environ Microbiol       Date:  2016-08-15       Impact factor: 4.792

6.  RASTtk: a modular and extensible implementation of the RAST algorithm for building custom annotation pipelines and annotating batches of genomes.

Authors:  Thomas Brettin; James J Davis; Terry Disz; Robert A Edwards; Svetlana Gerdes; Gary J Olsen; Robert Olson; Ross Overbeek; Bruce Parrello; Gordon D Pusch; Maulik Shukla; James A Thomason; Rick Stevens; Veronika Vonstein; Alice R Wattam; Fangfang Xia
Journal:  Sci Rep       Date:  2015-02-10       Impact factor: 4.379

7.  High resolution assembly and characterization of genomes of Canadian isolates of Salmonella Enteritidis.

Authors:  Dele Ogunremi; John Devenish; Kingsley Amoako; Hilary Kelly; Andrée Ann Dupras; Sebastien Belanger; Lin Ru Wang
Journal:  BMC Genomics       Date:  2014-08-25       Impact factor: 3.969

8.  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

9.  Estimates of foodborne illness-related hospitalizations and deaths in Canada for 30 specified pathogens and unspecified agents.

Authors:  M Kate Thomas; Regan Murray; Logan Flockhart; Katarina Pintar; Aamir Fazil; Andrea Nesbitt; Barbara Marshall; Joanne Tataryn; Frank Pollari
Journal:  Foodborne Pathog Dis       Date:  2015-08-10       Impact factor: 3.171

10.  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 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.