Literature DB >> 30533854

Draft Genome Sequence of a Novel Serratia sp. Strain with Antifungal Activity.

Søs I Dichmann1, Byeonghyeok Park2, Duleepa Pathiraja2, In-Geol Choi2, Peter Stougaard1, Rosanna C Hennessy1.   

Abstract

This report describes the draft genome sequence of Serratia sp. strain S40, isolated from potato; it contains 5,383,735 bp and a G+C content of 55.9% and harbors 4,875 predicted coding sequences across 29 contigs. The genomic data provide insight into the genetics underpinning the antifungal activity of this strain.

Entities:  

Year:  2018        PMID: 30533854      PMCID: PMC6284086          DOI: 10.1128/MRA.01340-18

Source DB:  PubMed          Journal:  Microbiol Resour Announc        ISSN: 2576-098X


ANNOUNCEMENT

Serratia species are ubiquitous in the environment and have been isolated from soil, water, and animals, including humans (1). The genus comprises both nonpathogenic species and pathogens of plants, animals, and humans. Several members of the genus have been associated with the rhizosphere of diverse plants and shown to be plant growth promoting and antifungal (2–4). The application of rhizosphere biocontrol bacteria to control plant-pathogenic fungi is an alternative approach to the use of chemical fungicides. Serratia sp. strain S40 was isolated from a potato rhizosphere in Zealand, Denmark (5). For whole-genome sequencing, the strain was cultivated in lysogeny broth (LB) for 24 h at 20°C before DNA extraction. Genomic DNA was purified using the Gentra Puregene Yeast/Bact. kit (Qiagen, Germany) according to the manufacturer’s instructions, and purified genomic DNA was verified by 16S RNA gene sequencing as previously described (5). Library preparation for whole-genome sequencing was performed using the Nextera DNA library prep kit (Illumina, Inc., San Diego, CA, USA). Sequencing was carried out with an Illumina MiSeq platform using MiSeq reagent kit V3 (600 cycles) (Illumina, Inc.). A total of 896,235 (539.5 Mbp) paired-end reads with a read size of 301 × 2 bp and average insert size of 478 bp were retrieved. Adapter sequences and low-quality bases (Serratia sp.) passed quality control and were used for assembly using SPAdes Genome Assembler version 3.7.1 (6). Genome annotation was conducted using P-CAPS (7) and the NCBI Prokaryotic Genome Annotation Pipeline (8). The draft genome sequence of Serratia sp. S40 is 5,383,735 bp long, and its contigs are set up in 29 scaffolds (L50, 3; N50, 362,774 bp), with a mean G+C content of 55.9%. The annotation of the Serratia sp. S40 genome revealed the presence of 4,875 predicted coding sequences (CDS) and 93 predicted RNA (14 rRNAs, 79 tRNAs) coding sequences. Using a series of in silico genome mining tools, a total of 8 secondary metabolite gene clusters were predicted by antiSMASH (9), including 4 nonribosomal peptide synthetase/polyketide synthase (NRPS/PKS) clusters; 3 bacteriocin gene clusters were identified by BAGEL3 (10), and NapDos (11) predicted 8 KS-domains and 10 C-domains, while NP Searcher (12) identified 1 NRPS gene cluster. Further in-depth analysis of this genome will increase our understanding of the antifungal activity of this strain for applications within biocontrol and potentially lead to the discovery of new natural products.

Data availability.

This whole-genome sequence project has been deposited at DDBJ/ENA/GenBank under the accession number QYYG00000000. The version described in this paper is QYYG01000000. Raw sequence files are deposited under the accession number PRJNA491277.
  12 in total

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Authors:  G Berg
Journal:  J Appl Microbiol       Date:  2000-06       Impact factor: 3.772

2.  SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing.

Authors:  Anton Bankevich; Sergey Nurk; Dmitry Antipov; Alexey A Gurevich; Mikhail Dvorkin; Alexander S Kulikov; Valery M Lesin; Sergey I Nikolenko; Son Pham; Andrey D Prjibelski; Alexey V Pyshkin; Alexander V Sirotkin; Nikolay Vyahhi; Glenn Tesler; Max A Alekseyev; Pavel A Pevzner
Journal:  J Comput Biol       Date:  2012-04-16       Impact factor: 1.479

3.  Prokaryotic Contig Annotation Pipeline Server: Web Application for a Prokaryotic Genome Annotation Pipeline Based on the Shiny App Package.

Authors:  Byeonghyeok Park; Min-Jeong Baek; Byoungnam Min; In-Geol Choi
Journal:  J Comput Biol       Date:  2017-06-20       Impact factor: 1.479

Review 4.  In silico tools for the analysis of antibiotic biosynthetic pathways.

Authors:  Tilmann Weber
Journal:  Int J Med Microbiol       Date:  2014-02-19       Impact factor: 3.473

5.  Evaluation of the biocontrol efficacy of a Serratia marcescens strain indigenous to tea rhizosphere for the management of root rot disease in tea.

Authors:  Gargee Dhar Purkayastha; Preeti Mangar; Aniruddha Saha; Dipanwita Saha
Journal:  PLoS One       Date:  2018-02-21       Impact factor: 3.240

6.  Automated genome mining for natural products.

Authors:  Michael H T Li; Peter M U Ung; James Zajkowski; Sylvie Garneau-Tsodikova; David H Sherman
Journal:  BMC Bioinformatics       Date:  2009-06-16       Impact factor: 3.169

7.  Characterization of a chitinase with antifungal activity from a native Serratia marcescens B4A.

Authors:  Mandana Zarei; Saeed Aminzadeh; Hossein Zolgharnein; Alireza Safahieh; Morteza Daliri; Kambiz Akbari Noghabi; Ahmad Ghoroghi; Abbasali Motallebi
Journal:  Braz J Microbiol       Date:  2011-09-01       Impact factor: 2.476

8.  Genome evolution and plasticity of Serratia marcescens, an important multidrug-resistant nosocomial pathogen.

Authors:  Atsushi Iguchi; Yutaka Nagaya; Elizabeth Pradel; Tadasuke Ooka; Yoshitoshi Ogura; Keisuke Katsura; Ken Kurokawa; Kenshiro Oshima; Masahira Hattori; Julian Parkhill; Mohamed Sebaihia; Sarah J Coulthurst; Naomasa Gotoh; Nicholas R Thomson; Jonathan J Ewbank; Tetsuya Hayashi
Journal:  Genome Biol Evol       Date:  2014-08       Impact factor: 3.416

9.  NCBI prokaryotic genome annotation pipeline.

Authors:  Tatiana Tatusova; Michael DiCuccio; Azat Badretdin; Vyacheslav Chetvernin; Eric P Nawrocki; Leonid Zaslavsky; Alexandre Lomsadze; Kim D Pruitt; Mark Borodovsky; James Ostell
Journal:  Nucleic Acids Res       Date:  2016-06-24       Impact factor: 16.971

10.  A Screening Method for the Isolation of Bacteria Capable of Degrading Toxic Steroidal Glycoalkaloids Present in Potato.

Authors:  Rosanna C Hennessy; Niels O G Jørgensen; Carsten Scavenius; Jan J Enghild; Mathias Greve-Poulsen; Ole Bandsholm Sørensen; Peter Stougaard
Journal:  Front Microbiol       Date:  2018-11-05       Impact factor: 5.640

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