Skip to main content
Microbiology Resource Announcements logoLink to Microbiology Resource Announcements
. 2026 Jul 28;15(9):e00691-26. doi: 10.1128/mra.00691-26

Draft genome sequence of Pseudomonas aeruginosa SAU_MI_2M5 isolated from milk of cattle in Dhaka, Bangladesh

Arpita Biswas 1, Md Hafizur Rahman 2, Md Mominul Islam 3, Alich Mondal 1, Rahnuma Tabassum Taqwa 1, Fatema Tuj Zohura 1, Md Rashedul Islam 4, Mahfuzul Islam 1,✉
Editor: Kenneth M Stedman5
PMCID: PMC13560739  PMID: 42517637

ABSTRACT

A draft genome sequence of Pseudomonas aeruginosa isolated from the milk of cattle in Dhaka, Bangladesh, is described in this report. The 7.24 Mb genome was sequenced using the Illumina NextSeq platform and found to encode 6,958 predicted coding sequences, including putative antibiotic resistance genes.

KEYWORDS: Pseudomonas aeruginosa, cattle, milk, antibiotic resistance genes

ANNOUNCEMENT

Pseudomonas aeruginosa is a versatile opportunistic pathogen commonly found in environmental and animal reservoirs and noted for its high adaptability and multidrug-resistant nature. This bacterium can cause diverse infections and represents a major concern for both animal and human health (1, 2).

A draft genome sequence of P. aeruginosa obtained from an apparently healthy feedlot dairy cow in Dhaka, Bangladesh in 2025 is reported here. Raw milk was aseptically obtained from a dairy cow and transferred to 9 mL of peptone water for enrichment (3). After aerobic incubation at 37°C for 6 h, the enriched culture was streaked onto nutrient agar (HIMEDIA, India) and incubated for an additional 20 h at 37°C. An isolated pure colony was chosen for downstream characterization, and species identity was confirmed by matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry (4). The identified P. aeruginosa was then considered for whole-genome sequencing (WGS).

Genomic DNA was extracted from an overnight nutrient broth culture incubated at 37°C using the QIAamp DNA Mini Kit (QIAGEN, Germany). WGS was performed on the Illumina NextSeq 2000 platform (Illumina, San Diego, CA, USA) using a paired-end (2 × 150 bp) strategy, generating 6,695,396 pair-end reads. Sequencing libraries were prepared with the Nextera XT Library Preparation Kit (Illumina, USA). Raw sequencing data were evaluated for quality using FastQC v0.74 (5), and adapter sequences along with low-quality bases were removed using Trimmomatic v0.39 with default parameters (6). Following quality control and trimming, a total of 6,683,664 high-quality reads were retained for downstream genome assembly. Using Unicycler v0.4.8 with default parameters (7), de novo assembly generated a draft genome containing 57 contigs with a mean sequencing coverage of 117.22×. Genome completeness was assessed using BUSCO v5.8.0 (8) in prokaryotic genome mode with the pseudomonadales_odb10 lineage data set. The draft genome has a total length of 7,236,130 bp, a guanine-cytosine (GC) content of 64.97%, and an N50 value of 435,632 bp. The draft genome assembly showed 98.8% completeness (98.6% single-copy, 0.3% duplicated), with 0.1% fragmented and 1.0% missing BUSCO genes. Genome annotation was performed using the National Center for Biotechnology Information (NCBI) Prokaryotic Genome Annotation Pipeline (PGAP) v6.10 (9), which identified 6,958 protein-coding sequences, 3 rRNA genes, and 103 tRNA genes. Further characterization of the assembled genome using AMRFinderPlus v3.11.20 (10) and ResFinder v4.7.2 (11, 12) detected nine putative antimicrobial resistance (AMR) genes, including oprD_V359L, aph(3′)-Iib, blaOXA-486, blaPDC-121, blaPAO, catB7, tmexD2, crpP, and fosA. Analysis with CRISPRimmunity (13) identified a single CRISPR array within the bacterial genome. Analysis using PAst (13), PathogenFinder2 (14), and MLST v2.0 (15) predicted the isolate to belong to serotype O9, identified it as a potential pathogen to humans with a probability score of 0.753, and assigned it to the sequence type (ST) 164, respectively. Metabolic functional annotation was performed using RAST v2.0 (16), which identified 397 subsystems with 25% subsystem coverage and a total of 1,760 associated genes. Default parameters were applied for all analyses unless stated otherwise.

ACKNOWLEDGMENTS

This work was supported by a research grant from the Sher-e-Bangla Agricultural University Research System (SAURES), Dhaka, Bangladesh (SAU/SAURES/2025/667/114; FY 2025-2026).

The authors also acknowledge the Poultry Research and Training Center, Chattogram Veterinary and Animal Sciences University, for technical support related to whole-genome sequencing.

Arpita Biswas: conceptualization, data curation, formal analysis, methodology, resources, writing—original draft, and writing—review and editing; Md Hafizur Rahman: conceptualization, data curation, formal analysis, methodology, validation, resources, software, supervision, writing—original draft, and writing—review and editing; Md. Mominul Islam: data curation, formal analysis, methodology, resources, writing—original draft, and writing—review and editing; Alich Mondal: data curation, methodology, and writing—review and editing; Rahnuma Tabassum Taqwa: data curation, methodology, and writing—review and editing; Fatema Tuj Zohura: data curation, methodology, and writing—review and editing; Md. Rashedul Islam: data curation, methodology, resources, writing—original draft, and writing—review and editing; Mahfuzul Islam: conceptualization, data curation, formal analysis, funding acquisition, investigation, methodology, validation, visualization, project administration, resources, software, supervision, writing—original draft, and writing—review and editing.

Contributor Information

Mahfuzul Islam, Email: mislam.mipa@sau.edu.bd.

Kenneth M. Stedman, Portland State University, Portland, Oregon, USA

DATA AVAILABILITY

The sequence reads are deposited in the Sequence Read Archive under accession number SRR36966175 and the assembled genome under accession number JBUCWJ000000000. The associated BioProject and BioSample accession numbers are PRJNA1412526 and SAMN54812904, respectively. The output files from AMRFinderPlus, ResFinder, PathogenFinder, Serotype, RAST, and MLST analyses have been made publicly accessible via Figshare at the following link: https://figshare.com/s/fc0a1ddfda8911d87fb7.

ETHICS APPROVAL

Ethical approval for the research was obtained from the Animal Experimentation Ethics Committee (AEEC) of the Faculty of Animal Science and Veterinary Medicine, Sher-e-Bangla Agricultural University (SAU/AEEC/D-1725-007). In addition, verbal consent was obtained from the animal owners prior to sample collection.

REFERENCES

  • 1. Lyczak JB, Cannon CL, Pier GB. 2000. Establishment of Pseudomonas aeruginosa infection: lessons from a versatile opportunist. Microbes Infect 2:1051–1060. doi: 10.1016/s1286-4579(00)01259-4 [DOI] [PubMed] [Google Scholar]
  • 2. Patil S, Chen X, Dong S, Mai H, Lopes BS, Liu S, Wen F. 2023. Resistance genomics and molecular epidemiology of high-risk clones of ESBL-producing Pseudomonas aeruginosa in young children. Front Cell Infect Microbiol 13:1168096. doi: 10.3389/fcimb.2023.1168096 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Quinn PJ, Markey BK, Leonard FC, FitzPatrick ES, Fanning S, Hartigan PJ. 2011. Veterinary microbiology and microbial disease. 2nd ed. Wiley-Blackwell, Chichester, United Kingdom. [Google Scholar]
  • 4. Wilson DA, Young S, Timm K, Novak-Weekley S, Marlowe EM, Madisen N, Lillie JL, Ledeboer NA, Smith R, Hyke J, Griego-Fullbright C, Jim P, Granato PA, Faron ML, Cumpio J, Buchan BW, Procop GW. 2017. Multicenter evaluation of the Bruker MALDI Biotyper CA system for the identification of clinically important bacteria and yeasts. Am J Clin Pathol 147:623–631. doi: 10.1093/ajcp/aqw225 [DOI] [PubMed] [Google Scholar]
  • 5. Andersson R, Gebhard C, Miguel-Escalada I, Hoof I, Bornholdt J, Boyd M, Chen Y, Zhao X, Andrews S. 2010. FastQC: a quality control tool for high throughput sequence data. Version 0.11. https://www.bioinformatics.babraham.ac.uk/projects/fastqc/.
  • 6. Bolger AM, Lohse M, Usadel B. 2014. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics 30:2114–2120. doi: 10.1093/bioinformatics/btu170 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Wick RR, Judd LM, Gorrie CL, Holt KE. 2017. Unicycler: resolving bacterial genome assemblies from short and long sequencing reads. PLoS Comput Biol 13:e1005595. doi: 10.1371/journal.pcbi.1005595 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Seppey M, Manni M, Zdobnov EM. 2019. BUSCO: assessing genome assembly and annotation completeness, p 227–245. In Kollmar M (ed), Gene prediction. Methods in molecular biology. Vol. 1962. [DOI] [PubMed] [Google Scholar]
  • 9. 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]
  • 10. Feldgarden M, Brover V, Gonzalez-Escalona N, Frye JG, Haendiges J, Haft DH, Hoffmann M, Pettengill JB, Prasad AB, Tillman GE, Tyson GH, Klimke W. 2021. AMRFinderPlus and the reference gene catalog facilitate examination of the genomic links among antimicrobial resistance, stress response, and virulence. Sci Rep 11:12728. doi: 10.1038/s41598-021-91456-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Bortolaia V, Kaas RS, Ruppe E, Roberts MC, Schwarz S, Cattoir V, Philippon A, Allesoe RL, Rebelo AR, Florensa AF, et al. 2020. ResFinder 4.0 for predictions of phenotypes from genotypes. J Antimicrob Chemother 75:3491–3500. doi: 10.1093/jac/dkaa345 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Camacho C, Coulouris G, Avagyan V, Ma N, Papadopoulos J, Bealer K, Madden TL. 2009. BLAST+: architecture and applications. BMC Bioinformatics 10:421. doi: 10.1186/1471-2105-10-421 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Thrane SW, Taylor VL, Lund O, Lam JS, Jelsbak L. 2016. Application of whole-genome sequencing data for O-specific antigen analysis and in silico serotyping of Pseudomonas aeruginosa isolates. J Clin Microbiol 54:1782–1788. doi: 10.1128/JCM.00349-16 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Cosentino S, Voldby Larsen M, Møller Aarestrup F, Lund O. 2013. PathogenFinder - distinguishing friend from foe using bacterial whole genome sequence data. PLoS One 8:e77302. doi: 10.1371/journal.pone.0077302 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Larsen MV, Cosentino S, Rasmussen S, Friis C, Hasman H, Marvig RL, Jelsbak L, Sicheritz-Pontén T, Ussery DW, Aarestrup FM, Lund O. 2012. Multilocus sequence typing of total-genome-sequenced bacteria. J Clin Microbiol 50:1355–1361. doi: 10.1128/JCM.06094-11 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Aziz RK, Bartels D, Best AA, DeJongh M, Disz T, Edwards RA, Formsma K, Gerdes S, Glass EM, Kubal M, et al. 2008. The RAST Server: rapid annotations using subsystems technology. BMC Genomics 9:1–15. doi: 10.1186/1471-2164-9-75 [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 sequence reads are deposited in the Sequence Read Archive under accession number SRR36966175 and the assembled genome under accession number JBUCWJ000000000. The associated BioProject and BioSample accession numbers are PRJNA1412526 and SAMN54812904, respectively. The output files from AMRFinderPlus, ResFinder, PathogenFinder, Serotype, RAST, and MLST analyses have been made publicly accessible via Figshare at the following link: https://figshare.com/s/fc0a1ddfda8911d87fb7.


Articles from Microbiology Resource Announcements are provided here courtesy of American Society for Microbiology (ASM)

RESOURCES