ABSTRACT
We report the draft genome sequence of Leptospira sp. SA-E8, isolated from a farmland soil in India. SA-E8 shared 88.8% OrthoANI and 36.2% dDDH scores with L. andrefontaineae PZF11-2T, indicating distinct taxonomic placement of the isolate. In silico analysis predicted potential drug resistance and hemolytic traits in SA-E8.
KEYWORDS: Leptospira, genomic analysis, genome sequence, spirochaete, virulence
ANNOUNCEMENT
Leptospira sp. SA-E8, belonging to the phylum Spirochaetota, was isolated from a farmland soil of Karnataka, India (14°17′41.7ʺN 74°50′16.2ʺE). The topsoil (50 g) was collected in a sterile container, mixed with 100 mL of Ellinghausen–McCullough–Johnson–Harris (EMJH) basal medium, and left to settle at 25°C–27°C for 30 min. The supernatant was centrifuged (250 × g, 10 min, 25°C), filtered through 0. 22-µm filter, and inoculated (0.5 mL) into 2 mL of enriched EMJH liquid medium containing 200 µg/mL 5′ fluorouracil (1). The static culture was incubated under darkness and aerobic conditions at 30°C for 2 months. The cells were harvested by centrifugation (10,000 rpm, 5 min, 25°C), and DNA was extracted using the QIAamp DNA mini kit (Qiagen). The quality and quantity of DNA were assessed using nanodrop spectrophotometry and gel electrophoresis. The genome was sequenced using the Illumina Nextseq2000 with the read chemistry of 2 × 150 bp. DNA was enzymatically fragmented followed by library preparation using QIAseq FX DNA Library Kit (Qiagen). The QC for raw Illumina reads was assessed using FastQC (2). Adaptor and low-quality reads were removed using the fastp tool (v. 0.23.2) (3). The genome was assembled using SPAdes (v. 3.15.3) (4), and the quality of assembly was analyzed with Leptospira CheckM (v. 1.2.4) marker set (5). The genome was annotated using Prokaryotic Genome Annotation Pipeline (PGAP v. 6.10) of NCBI (6) The intergenomic distance calculation and digital DNA-DNA hybridization were done through Type (Strain) Genome Server (TYGS v. 401) (7). Orthologous average nucleotide identity was calculated using the OrthoANI (v. 0.93.1) (8). The genes predicted to be responsible for intrinsic resistance were identified through PATRIC Bacterial and Viral Bioinformatics Resource Center (BV-BRC) (9). Unless otherwise noted, default parameters were used for all software.
The number of raw read pairs obtained was 1,535,731 and the total raw data generated was 457.7 M bp with the read length of 2 × 150 bp. CheckM completeness and contamination were 81.71% and 12.1%, respectively. As per PGAP analysis, the draft genome (4,406,931 bp) of SA-E8 contained 43% G + C content, 656 contigs (contig N50: 597.4 kb), 4,532 genes, 4,470 protein CDS, and 47 genes coding for RNA. SA-E8 shared the highest OrthoANI (88.8%) and dDDH (36.2%) values with L. andrefontaineae PZF11-2T (RQEY00000000.1) (10, 11). The OrthoANI and dDDH values are well below the recommended cutoff to delineate the isolate at the species level (12). BV-BRC analysis predicted 25 drug-resistant genes. The genomic data indicate possible drug resistance and virulence attributes of SA-E8.
ACKNOWLEDGMENTS
We thank Ms. Prajna for the collection of farmland soil.
This project is funded by the Seed Grant (YU/Seed grant/139-2023). A.S. acknowledges a senior research fellowship from Yenepoya (Deemed to be University).
Contributor Information
Asif Hameed, Email: asifhameed@yenepoya.edu.in.
Ananthapadmanabha Bhagwath Arun, Email: arunbhagwath@yenepoya.edu.in.
Leighton Pritchard, University of Strathclyde, Glasgow, United Kingdom.
DATA AVAILABILITY
The 16S rRNA gene and whole genome sequences of Leptospira sp. SA-E8 have been deposited at GenBank under the accession PX285705 and JBNURY000000000, respectively. The raw reads have been deposited under BioProject ID PRJNA1261035, SRA accession SRX29909408, and BioSample accession SAMN48410458.
REFERENCES
- 1. Murag S, Rathnamma D, Balamurugan V, Patil S, Dasappa Venkatesha M, Amachawadi RG, Syed A, Marraiki N, Kumar Singh S, Prasad Kollur S, Shivamallu C. 2021. Isolation and identification of Leptospira species from bovines by rpoB and LipL41 genes based phylogenetic analysis. Journal of King Saud University - Science 33:101272. doi: 10.1016/j.jksus.2020.101272 [DOI] [Google Scholar]
- 2. Simon Andrews F, Segonds-Pichon A, Biggins L, Krueger C, Wingett S. 2010. FastQC: a quality control tool for high throughput sequence data
- 3. Chen S. 2023. Ultrafast one-pass FASTQ data preprocessing, quality control, and deduplication using fastp. Imeta 2:e107. doi: 10.1002/imt2.107 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Bankevich 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. SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing. J Comput Biol 19:455–477. doi: 10.1089/cmb.2012.0021 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Parks DH, Imelfort M, Skennerton CT, Hugenholtz P, Tyson GW. 2015. CheckM: assessing the quality of microbial genomes recovered from isolates, single cells, and metagenomes. Genome Res 25:1043–1055. doi: 10.1101/gr.186072.114 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Tatusova T, DiCuccio M, Badretdin A, Chetvernin V, Nawrocki EP, Zaslavsky L, Lomsadze A, Pruitt KD, Borodovsky M, Ostell J. 2016. NCBI prokaryotic genome annotation pipeline. Nucleic Acids Res 44:6614–6624. doi: 10.1093/nar/gkw569 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Meier-Kolthoff JP, Carbasse JS, Peinado-Olarte RL, Göker M. 2022. TYGS and LPSN: a database tandem for fast and reliable genome-based classification and nomenclature of prokaryotes. Nucleic Acids Res 50:D801–D807. doi: 10.1093/nar/gkab902 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Lee I, Ouk Kim Y, Park SC, Chun J. 2016. OrthoANI: an improved algorithm and software for calculating average nucleotide identity. Int J Syst Evol Microbiol 66:1100–1103. doi: 10.1099/ijsem.0.000760 [DOI] [PubMed] [Google Scholar]
- 9. Olson RD, Assaf R, Brettin T, Conrad N, Cucinell C, Davis JJ, Dempsey DM, Dickerman A, Dietrich EM, Kenyon RW, et al. 2023. Introducing the bacterial and viral bioinformatics resource center (BV-BRC): a resource combining PATRIC, IRD and ViPR. Nucleic Acids Res 51:D678–D689. doi: 10.1093/nar/gkac1003 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Thibeaux R, Girault D, Bierque E, Soupé-Gilbert M-E, Rettinger A, Douyère A, Meyer M, Iraola G, Picardeau M, Goarant C. 2018. Biodiversity of environmental Leptospira: improving identification and revisiting the diagnosis. Front Microbiol 9:816. doi: 10.3389/fmicb.2018.00816 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Vincent AT, Schiettekatte O, Goarant C, Neela VK, Bernet E, Thibeaux R, Ismail N, Mohd Khalid MKN, Amran F, Masuzawa T, Nakao R, Amara Korba A, Bourhy P, Veyrier FJ, Picardeau M. 2019. Revisiting the taxonomy and evolution of pathogenicity of the genus Leptospira through the prism of genomics. PLoS Negl Trop Dis 13:e0007270. doi: 10.1371/journal.pntd.0007270 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Riesco R, Trujillo ME. 2024. Update on the proposed minimal standards for the use of genome data for the taxonomy of prokaryotes. Int J Syst Evol Microbiol 74:006300. doi: 10.1099/ijsem.0.006300 [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The 16S rRNA gene and whole genome sequences of Leptospira sp. SA-E8 have been deposited at GenBank under the accession PX285705 and JBNURY000000000, respectively. The raw reads have been deposited under BioProject ID PRJNA1261035, SRA accession SRX29909408, and BioSample accession SAMN48410458.
