Literature DB >> 28596408

Draft Genome Sequence of Serratia proteamaculans MFPA44A14-05, a Model Organism for the Study of Meat and Seafood Spoilage.

Lysiane Fougy1,2, Gwendoline Coeuret1, Marie-Christine Champomier-Vergès1, Stéphane Chaillou3.   

Abstract

In this study, we present a draft genome sequence of Serratia proteamaculans MFPA44A14-05. This strain was isolated from a spoiled organic modified-atmosphere-packed beef carpaccio. The draft genome sequence will contribute to the understanding of the role of the S. proteamaculans species in meat and seafood spoilage.
Copyright © 2017 Fougy et al.

Entities:  

Year:  2017        PMID: 28596408      PMCID: PMC5465627          DOI: 10.1128/genomeA.00491-17

Source DB:  PubMed          Journal:  Genome Announc


GENOME ANNOUNCEMENT

Members of the Serratia genus have a highly ubiquitous nature. Like most Enterobacteriaceae, they are commonly found in the digestive tracts of animals but also thrive very competitively in water and soil environments (1). Some species, like Serratia proteamaculans, are also well known for contaminating and spoiling protein-rich food, like raw meat and seafood (2–4), using a strong capacity to resist CO2-enriched modified atmosphere (MA) (5) and to metabolize protein and amino acids for growth (6). Despite this key role in food waste, very little is known about the genomic background of S. proteamaculans, and the genomes of only two strains, those of the plant growth-promoting strain S4 (7) and the poplar tree root endophyte strain 568 (8), are currently available. S. proteamaculans strain MFPA44A14-05 was isolated in 2009 from a highly spoiled slice of organic modified atmosphere-packed beef carpaccio (9). After 14 days of storage at 8°C, the strain was dominant and had reached a population level of 6.7 log10 CFU g-1, turning the carpaccio slices into a brown/greenish color and diffusing a strong putrid smell. We thus undertook the genome sequence of this strain in order to use it as a model to understand the role of S. proteamaculans in meat and seafood spoilage. The whole-genome sequencing of S. proteamaculans MFPA44A14-05 (CIP 110939) was carried out by Eurofins MWG Operon laboratories (Ebersberg, Germany) using Illumina MiSeq 2 × 150-bp paired-end libraries. The 2.94 million reads were assembled de novo using the Velvet software (10) after choosing the best k-mer value of 73. The draft assembly resulted in 80 contigs from 1,783 to 252,892 bp (N50, 128,235 bp). The contigs were aligned against the S. proteamaculans strain 568 complete genome using progressiveMauve (11) to give one high-quality scaffold (5,368.81 bp; coverage, 46×), with an overall G+C content of 54.85%. Annotation performed with the MicroScope platform (12) detected 5,075 coding sequences (CDSs), 29 pseudogenes, 4 rRNAs, and 76 tRNAs. The MFPA44A14-05 strain has been deposited in the CIP Culture Collection under the reference CIP 110939. The high proteolytic capacity of S. proteamaculans MFPA44A14-05 is confirmed by the detection of at least 5 extracellular proteases or proteinases, including a serralysin-like proteinase (13), a subtilisin-like protease, and an overall set of 18 peptidases. Similarly, the number of genes involved in peptide and amino acid metabolism (n = 594) largely exceeds the number of genes involved in carbohydrate metabolism (n = 473). This COG group is the biggest in proportion (11% of the whole genome). We also noticed that the S. proteamaculans MFPA44A14-05 genome contains biogenic amine production activity arising from amino acid catabolism, which involves two genes encoding a lysine decarboxylase to produce cadaverine (cadA and ldcC genes) and all genes of the polyamine superpathway II (speA to speF) to produce agmatine, putrescine, and spermidine from arginine, ornithine, and S-adenosylmethionine.

Accession number(s).

This whole-genome shotgun project has been deposited in ENA BioProject number PRJEB20089 and assembly under the accession numbers FWWG01000001 to FWWG01000080. The version described in this paper is the first version.
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3.  Evaluation of the spoilage potential of bacteria isolated from spoiled raw salmon (Salmo salar) fillets stored under modified atmosphere packaging.

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4.  Predominant enterobacteria on modified-atmosphere packaged meat and poultry.

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Journal:  Food Microbiol       Date:  2012-11-11       Impact factor: 5.516

Review 5.  Bacterial spoilage of meat and cured meat products.

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6.  progressiveMauve: multiple genome alignment with gene gain, loss and rearrangement.

Authors:  Aaron E Darling; Bob Mau; Nicole T Perna
Journal:  PLoS One       Date:  2010-06-25       Impact factor: 3.240

7.  Genome survey and characterization of endophytic bacteria exhibiting a beneficial effect on growth and development of poplar trees.

Authors:  Safiyh Taghavi; Craig Garafola; Sébastien Monchy; Lee Newman; Adam Hoffman; Nele Weyens; Tanja Barac; Jaco Vangronsveld; Daniel van der Lelie
Journal:  Appl Environ Microbiol       Date:  2008-12-05       Impact factor: 4.792

8.  Interdomain Contacts and the Stability of Serralysin Protease from Serratia marcescens.

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Journal:  PLoS One       Date:  2015-09-17       Impact factor: 3.240

9.  Non-contiguous finished genome sequence of plant-growth promoting Serratia proteamaculans S4.

Authors:  Saraswoti Neupane; Lynne A Goodwin; Nils Högberg; Nikos C Kyrpides; Sadhna Alström; David Bruce; Beverly Quintana; Christine Munk; Hajnalka Daligault; Hazuki Teshima; Karen Davenport; Krista Reitenga; Lance Green; Patrick Chain; Tracy Erkkila; Wei Gu; Xiaojing Zhang; Yan Xu; Yulia Kunde; Olga Chertkov; James Han; Cliff Han; John C Detter; Natalia Ivanova; Amrita Pati; Amy Chen; Ernest Szeto; Kostas Mavromatis; Marcel Huntemann; Matt Nolan; Sam Pitluck; Shweta Deshpande; Victor Markowitz; Ioanna Pagani; Hans-Peter Klenk; Tanja Woyke; Roger D Finlay
Journal:  Stand Genomic Sci       Date:  2013-07-30

10.  MicroScope--an integrated microbial resource for the curation and comparative analysis of genomic and metabolic data.

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2.  Deciphering intra-species bacterial diversity of meat and seafood spoilage microbiota using gyrB amplicon sequencing: A comparative analysis with 16S rDNA V3-V4 amplicon sequencing.

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