Draft genome sequences of Klebsiella spp. isolated from produce and agricultural water in South Korea
Kwang-Kyo Oh, Gyu-Sung Cho, Charles M. A. P. Franz

TL;DR
This paper presents draft genome sequences of six Klebsiella strains from South Korean agricultural sources, highlighting their antimicrobial resistance.
Contribution
The study provides new draft genomes of Klebsiella spp. from agricultural settings in South Korea, revealing plasmid-mediated antimicrobial resistance.
Findings
Genome sizes ranged from 5.25 to 6.21 Mbp with GC content between 55.64% and 57.55%.
Multiple plasmid sequences were identified in each strain, indicating antimicrobial resistance potential.
Abstract
This report outlines the draft genome sequences of six Klebsiella spp. strains from South Korea’s agricultural produce and environments. Genome sizes ranged from 5.25 to 6.21 Mbp with 55.64% to 57.55% GC content. Each strain contained multiple plasmid sequences identified by PlasmidFinder, indicating significant antimicrobial resistance.
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
| KB_Kp057 | CN_Kp090 | CN_Kp094 | CN_Kp107 | CN_Kp115 | JN_Kp126 | |
|---|---|---|---|---|---|---|
| No. of contigs | 69 | 55 | 58 | 135 | 59 | 105 |
| N50 | 140319 | 172849 | 185818 | 94183 | 189448 | 114984 |
| GC content (mol %) | 57.40 | 57.55 | 57.35 | 57.45 | 57.23 | 55.64 |
| Total length (bp) | 5454083 | 5241811 | 5363655 | 5340572 | 5399707 | 6210983 |
| Genome coverage | X47 | X73 | X55 | X50 | X50 | X43 |
| No. of raw reads | 907689 | 1368998 | 1060902 | 933891 | 932446 | 929866 |
| No. of CDSs | 5348 | 5136 | 5278 | 5264 | 5322 | 6131 |
| No. of tRNAs | 46 | 44 | 49 | 46 | 46 | 54 |
| No. of rRNAs | 7 | 8 | 7 | 5 | 7 | 6 |
| Acquired resistance gene(s) | ||||||
| Plasmid replicon type | IncFIB(K) and IncFII(K) | IncFIA(pBK30683) | IncFIB(K) | IncFIB(K)(pCAV1099-114), IncN, | IncFIB(K) | IncFIA(HI1) |
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| Average nucleotide identity (%) | ||||||
| Isolation source | Chilli | Agricultural water | Soil | Agricultural water | Soil | Chinese cabbage |
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- —Rural Development Administration (RDA)
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Taxonomy
TopicsGenomics and Phylogenetic Studies · Bacteriophages and microbial interactions · Microbial Community Ecology and Physiology
ANNOUNCEMENT
The genus Klebsiella belongs to the Gammaproteobacteria class of bacteria, of which species have been isolated from water, soil, environments, animals, and humans (1, 2). The Klebsiella (K.) spp. are well-known opportunistic pathogens that may cause infections, and these strains are also an important source of antibiotic resistance genes (3).
In this study, we report the genome sequences of six Klebsiella spp. samples collected from chili, Chinese cabbage, cultivation soil, and agricultural water across three provinces (Chungnam, Gyeongbuk, and Jeonnam) in South Korea. The samples were stored in sterile plastic bags, transported on ice, and processed within 4 to 6 hours. Each 25-g sample was enriched in 225 mL of nutrient broth at 37°C for 24 hours, then streaked onto MacConkey agar, and incubated at the same temperature for another 24 hours, yielding six pink, mucoid colonies. All isolates were grown in LB broth for 20 hours at 37°C under normoxic condition. Total genomic DNA was extracted using the peqGOLD Bacterial DNA extraction kit (VWR, Darmstadt, Germany) following the manufacturer’s instruction. DNA libraries were prepared using the TruSeq Nano DNA library preparation kit, and 2 × 150 bp paired-end sequencing was performed using the NextSeq 500 platform according to the manufacturers’ instructions (Illumina, Munich, Germany). The paired-end raw sequence data were trimmed using Trimmomatic (v. 0.39; parameters: Phred 33, sliding window; 4:15, leading; 3, and minlen; 36) (4), and de novo assembly was subsequently performed using SPAdes (v. 3.15.0; parameters: --isolate) (5). After genome assembly, contig sequences shorter than 500 bp or contaminated with the spiked PhiX genome sequence were removed using the BBDuk pipeline (BBDuk Guide - DOE Joint Genome Institute) with default parameters. The quality of the post-processed contigs was assessed using QUAST (v. 5.2.0) (6). All contigs were annotated using the NCBI Prokaryotic Genome Annotation Pipeline version (v. 6.6). For unequivocal identification of the isolates, draft genome sequences of six strains were compared to the closely related Klebsiella type strains, i.e., K. pneumoniae ATCC 13883^T^ and K. michiganensis DSM 25444^T^ using OrthoANI supported by USEARCH (7) and genome-to-genome distance calculator (formula 2) (8), with default parameters. Acquired antibiotic resistance genes, plasmid replicon type, and multilocus sequencing typing (MLST) were identified using the Staramr pipeline (v. 0.10.0) (9) with ResFinder (database 31.05.2023), PlasmidFinder (database 17.03.2023), and MLST (v.2.11), respectively. The genomic features of six Klebsiella spp. are shown in Table 1. The number of contigs ranged from 55 to 135, and the N_50_ values were between 94,183 and 189,448 for CN_Kp107 and CN_Kp115, respectively. Total genome length varied from 5.24 Mbp to 6.21 Mbp. All isolates carried more than four antibiotic resistance genes and contained at least one sequence related to plasmid replication (Table 1). The draft genome sequences of Klebsiella strains, isolated from agricultural water and produce, suggested the necessity for epidemiological surveillance and continuous monitoring of antibiotic-resistant bacteria in the agricultural field, particularly from a “One Health” perspective.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1Solomon SA, Bharadwaj AR, Singh NK, Wood JM, Debieu M, O’Hara NB, Mason CE, Venkateswaran K. 2020. Draft genome sequences of Klebsiella species isolated from the international space station. Microbiol Resour Announc 9:e 00923-20. doi:10.1128/MRA.00923-2033060271 PMC 7561690 · doi ↗ · pubmed ↗
- 2Brisse S, Verhoef J. 2001. Phylogenetic diversity of Klebsiella pneumoniae and Klebsiella oxytoca clinical isolates revealed by randomly amplified polymorphic DNA, gyr A and par C genes sequencing and automated ribotyping. Int J Syst Evol Microbiol 51:915–924. doi:10.1099/00207713-51-3-91511411715 · doi ↗ · pubmed ↗
- 3Wyres KL, Holt KE. 2018. Klebsiella pneumoniae as a key trafficker of drug resistance genes from environmental to clinically important bacteria. Curr Opin Microbiol 45:131–139. doi:10.1016/j.mib.2018.04.00429723841 · doi ↗ · pubmed ↗
- 4Bolger AM, Lohse M, Usadel B. 2014. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics 30:2114–2120. doi:10.1093/bioinformatics/btu 17024695404 PMC 4103590 · doi ↗ · pubmed ↗
- 5Bankevich A, Nurk S, Antipov D, Gurevich AA, Dvorkin M, Kulikov AS, Lesin VM, Nikolenko SI, Pham S, Prjibelski AD, Pyshkin AV, Sirotkin AV, Vyahhi N, Tesler G, Alekseyev MA, Pevzner PA. 2012. SP Ades: a new genome assembly algorithm and its applications to single-cell sequencing. J Comput Biol 19:455–477. doi:10.1089/cmb.2012.002122506599 PMC 3342519 · doi ↗ · pubmed ↗
- 6Gurevich A, Saveliev V, Vyahhi N, Tesler G. 2013. QUAST: quality assessment tool for genome assemblies. Bioinformatics 29:1072–1075. doi:10.1093/bioinformatics/btt 08623422339 PMC 3624806 · doi ↗ · pubmed ↗
- 7Yoon SH, Ha SM, Lim J, Kwon S, Chun J. 2017. A large-scale evaluation of algorithms to calculate average nucleotide identity. Antonie Van Leeuwenhoek 110:1281–1286. doi:10.1007/s 10482-017-0844-428204908 · doi ↗ · pubmed ↗
- 8Auch AF, von Jan M, Klenk H-P, Göker M. 2010. Digital DNA-DNA hybridization for microbial species delineation by means of genome-to-genome sequence comparison. Stand Genomic Sci 2:117–134. doi:10.4056/sigs.53112021304684 PMC 3035253 · doi ↗ · pubmed ↗
