Literature DB >> 34989614

Draft Genome Sequences of Six Yersinia kristensenii Strains.

Angelina A Kislichkina1, Mikhail E Platonov1, Yury P Skryabin1, Angelika A Sizova1, Lidia A Shishkina1, Elena V Galkina1, Alexandr G Bogun1, Svetlana V Dentovskaya1,2.   

Abstract

Yersinia kristensenii is one of the Yersinia enterocolitica-like bacterial species, which are considered nonpathogenic to humans. In this work, we reported the draft genome sequences of six Yersinia kristensenii strains. These draft genomes will help to better characterize Yersinia kristensenii at the genomic level.

Entities:  

Year:  2022        PMID: 34989614      PMCID: PMC8759387          DOI: 10.1128/MRA.01063-21

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


ANNOUNCEMENT

The genus Yersinia includes Gram-negative rod-shaped facultative anaerobes belonging to the Enterobacteriaceae family (1). Three of its species, Yersinia pestis, Yersinia pseudotuberculosis, and Yersinia enterocolitica, are well known for their pathogenicity in humans (2). The remaining species, which are considered nonpathogenic to humans, have been investigated significantly less (3). One of these species, Yersinia kristensenii, was derived from Y. enterocolitica and defined as a new species by Bercovier and colleagues in 1980, based on DNA-DNA hybridizations and biochemical characteristics (4). Trehalose-positive, sucrose-negative bacteria belonging to this species have frequently been isolated from a variety of environmental samples (such as freshwater and soil samples), foods, animals (including horses, sheep, and monkeys), and healthy and sick humans worldwide (3, 5). In this report, we announce draft genome sequences of six Y. kristensenii strains stored in the microorganism collection of the State Research Center for Applied Microbiology and Biotechnology (SRCAMB). Bacteria were originally identified as Yersinia enterocolitica-like, as confirmed with microscopic examinations and biochemical identification tests. Before whole-genome sequencing, their species identifications were updated by matrix-assisted laser desorption ionization (MALDI) Biotyper identification and biochemical identification tests. The stocks of Y. kristensenii strains were stored at −70°C in cryoprotective medium. Bacteria were grown at 37°C on nutrient medium 1 (Obolensk, Russia). DNA from each strain was extracted using the DNA minikit (BioFact, Daejeon, Republic of Korea) following the manufacturer’s instructions. For Y. kristensenii strain SCPM-O-B-7606, whole-genome sequencing was performed using the Ion 318 chip kit and 400-bp chemistry on the Ion Torrent PGM platform. Whole-genome sequencing of the other Y. kristensenii strains was performed using the Nextera DNA library preparation kit and MiSeq reagent kit v3 on the Illumina MiSeq platform. Reads were de novo assembled using two assemblers with default settings, which included primary filtering and quality control, i.e., SPAdes v3.9.0 for Y. kristensenii strains SCPM-O-B-7606, SCPM-O-B-3969, SCPM-O-B-7953, and SCPM-O-B-8071 and Unicycler v0.4.7 for Y. kristensenii strains SCPM-O-B-7961 and SCPM-O-B-7962 (6, 7). The draft genome sizes ranged from 4.47 to 4.77 Mb, with the GC content for Y. kristensenii strain SCPM-O-B-8071 being 47.7% and that for the other strains being 47.5%. The number of contigs per assembly for each isolate ranged from 17 to 264. The final assemblies were annotated using the NCBI Prokaryotic Genome Annotation Pipeline (PGAP) (8). The annotation method and annotation software version used are listed in Table 1. The genomes contain 4,001 to 4,593 coding sequences (CDSs).
TABLE 1

Genome assembly details and statistics

Strain nameIsolation sourceSRA accession no. (raw data)Sequencing platformAvg read length (bp)No. of readsRead length (bp)Genome size (bp)Coverage (×)No. of contigsNo. of CDSsGC content (%)N50 (bp)GenBank accession no.NCBI PGAP analysis
Annotation methodAnnotation software version
SCPM-O-B-3969Unknown SRR6206395 Illumina MiSeq444224,788100,000,8424,530,86721614,21447.5155,225 PGWV00000000 Best-placed reference protein set; GeneMarkS+4.3
SCPM-O-B-7606 Microtus arvalis SRR5298263 Ion Torrent PGM210394,28783,180,1274,737,79118.02644,59347.542,862 MWTL00000000 Best-placed reference protein set; GeneMarkS+4.1
SCPM-O-B-7953 Microtus arvalis SRR6206394 Illumina MiSeq454247,148112,268,4304,513,01124454,20747.5242,455 PGLT00000000 Best-placed reference protein set; GeneMarkS+3.2
SCPM-O-B-7961 Microtus arvalis SRR11355546 Illumina MiSeq509433,421220,848,8974,472,46049.4294,00547.5612,624 JAASAM000000000 Best-placed reference protein set; GeneMarkS-2+4.11
SCPM-O-B-7962Flush from potatoes SRR11355545 Illumina MiSeq575275,355158,351,8264,467,03735.4174,00147.5651,285 JAASAL000000000 Best-placed reference protein set; GeneMarkS-2+4.11
SCPM-O-B-8071Unknown SRR6206392 Illumina MiSeq412221,28191,214,0414,768,474191044,47947.789,657 PEHL00000000 Best-placed reference protein set; GeneMarkS+4.2
Genome assembly details and statistics

Data availability.

The genome sequences and sequence reads were deposited in the GenBank database under the accession numbers listed in Table 1.
  5 in total

1.  Assembling single-cell genomes and mini-metagenomes from chimeric MDA products.

Authors:  Sergey Nurk; Anton Bankevich; Dmitry Antipov; Alexey A Gurevich; Anton Korobeynikov; Alla Lapidus; Andrey D Prjibelski; Alexey Pyshkin; Alexander Sirotkin; Yakov Sirotkin; Ramunas Stepanauskas; Scott R Clingenpeel; Tanja Woyke; Jeffrey S McLean; Roger Lasken; Glenn Tesler; Max A Alekseyev; Pavel A Pevzner
Journal:  J Comput Biol       Date:  2013-10       Impact factor: 1.479

Review 2.  'Add, stir and reduce': Yersinia spp. as model bacteria for pathogen evolution.

Authors:  Alan McNally; Nicholas R Thomson; Sandra Reuter; Brendan W Wren
Journal:  Nat Rev Microbiol       Date:  2016-03       Impact factor: 60.633

3.  YersiniaBase: a genomic resource and analysis platform for comparative analysis of Yersinia.

Authors:  Shi Yang Tan; Avirup Dutta; Nicholas S Jakubovics; Mia Yang Ang; Cheuk Chuen Siow; Naresh Vr Mutha; Hamed Heydari; Wei Yee Wee; Guat Jah Wong; Siew Woh Choo
Journal:  BMC Bioinformatics       Date:  2015-01-16       Impact factor: 3.169

4.  Unicycler: Resolving bacterial genome assemblies from short and long sequencing reads.

Authors:  Ryan R Wick; Louise M Judd; Claire L Gorrie; Kathryn E Holt
Journal:  PLoS Comput Biol       Date:  2017-06-08       Impact factor: 4.475

5.  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

  5 in total

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