ABSTRACT
We report the draft genome sequence of Gordonia alkanivorans IEGM 1277, an actinomycete strain exhibiting a pronounced ability to degrade the pharmaceutical pollutant meloxicam—an emerging environmental contaminant. Utilizing the acquired sequence, identify candidate genes that encode enzymes implicated in the degradation of meloxicam.
KEYWORDS: Gordonia, NSAIDs, meloxicam, biodegradation, draft genome sequence
ANNOUNCEMENT
Meloxicam is a commonly used non-steroidal anti-inflammatory drug in human and veterinary medicine and a pharmaceutical environmental contaminant (1, 2). It has moderate toxicity (LD50 for rats: 83.5 mg/kg) and notable lipophilicity (log Kow 3.43), facilitating bioaccumulation, especially in aquatic organisms (3, 4). Meloxicam enters the environment primarily via wastewater due to inefficient removal in treatment plants and is detectable in their effluents (5, 6). Documented adverse effects include toxicity to fish, birds, and mammals (7–9).
Bioremediation using stress-resistant actinomycetes offers an eco-friendly and cost-effective approach for detoxifying xenobiotics (10). These microorganisms resist pharmaceutical pollutants and sustain hydrocarbon oxidation in the presence of trace metals, enabling effective remediation of complex contamination (11). The Gordonia alkanivorans strain IEGM 1277, isolated from oil-polluted waste in 2014 using the enrichment culture method, is deposited in the Regional Specialized Collection of Alkanotrophic Microorganisms (acronym IEGM, WFCC #285, http://iegmcol.ru/strains/gordonia/alkanivorans/g_alkanivorans1277.html). This strain completely degrades 10 mg/L meloxicam in mineral medium within 14 days, producing less (eco)toxic metabolites 5′-hydroxymethylmeloxicam and 5′-carboxymeloxicam (12).
DNA was isolated from G. alkanivorans IEGM 1277 cells grown in LB broth at 28°C and 160 rpm for 28 h using the MagMAX DNA Multi-Sample Ultra 2.0 kit and KingFisher Flex automation (Thermo Fisher Scientific), following the manufacturer’s protocol. Over 500 ng of DNA was obtained; 100 ng was used for sequencing. Genome sequencing was performed using NGS on the Illumina DNA Prep protocol. In total, 43,443,884 reads were obtained. Demultiplexing was performed with Illumina bcl2fastq (version 2.20). Adapter trimming used Skewer (version 0.2.2), and read quality was assessed via FastQC (version 0.11.5-cegat) (13). Quality trimming of the reads has not been performed. More than 95% reads had a Phred score ≥ 30. No reads were removed after the FastQC quality assessment. Reads were assembled de novo using SPAdes (version 3.14.1) (14), and assembly quality was evaluated with QUAST (version 5.2.0) (15). The annotation of coding sequences was performed using PGAP 5.3 (annotation method “best-placed reference protein set” GeneMarkS-2+) (16). The assembly consisted of 143 scaffolds and 149 contigs with a total sequence length of 5,116,883 bp, an N50 value of 149,232 bp, a GC content of 67.5%, and coverage of 672×. For taxonomic classification, average nucleotide identity was calculated using the online tool https://www.ezbiocloud.net/tools/ani (17). Digital DNA-DNA hybridization (dDDH) was calculated using GGDC (Genome-to-Genome Distance Calculator 4.0, https://ggdc.dsmz.de/ggdc.php#) (18, 19). The highest OrthoANIu (98.09%) and dDDH (81.2–86.4%) values were between the IEGM 1277 strain and type G. alkanivorans (NCBI: txid84096). Default parameters were used for all software unless otherwise specified.
The genome of G. alkanivorans IEGM 1277 contains 4,707 coding sequences, including 4,591 protein-coding genes, 4 rRNAs (5S, 16S, and 23S), and 48 tRNAs. Notably, it encodes 20 monooxygenases, 15 dioxygenases, 4 hydroxylases, 8 peroxidases, and 167 dehydrogenases. Among oxygenases, genes for 14 cytochrome P450 enzymes, 2 catechol 1,2-dioxygenases (EC 1.13.11.1), 1 alcohol dehydrogenase (EC 1.1.1.1), 2 nitronate monooxygenases (EC 1.13.12.16), and 1 homogentisate 1,2-dioxygenase (EC 1.13.11.5) were identified. These enzymes are likely involved in the biodegradation and metabolic pathway of meloxicam.
ACKNOWLEDGMENTS
The work was supported by the Ministry of Science and Higher Education (state task 124020500028-4, FSNF-2025-0013, as well as through agreement 075-15-2025-485). The work was carried out using the equipment of the Core Facilities Center "Regional Specialized Collection of Alkanotrophic Microorganisms." The draft genome was sequenced and assembled at CeGaT GmbH, Tübingen, Germany (www.cegat.de).
Contributor Information
Semyon M. Tyan, Email: vviolent00@mail.ru.
J. Cameron Thrash, University of Southern California, Los Angeles, California, USA.
DATA AVAILABILITY
This Whole-Genome Shotgun project has been deposited in GenBank under the accession number NZ_JASIRQ000000000.1 and the genome assembly number GCF_030063815.1. Raw sequence reads were deposited in the Sequence Read Archive under BioSample accession number SRR35263698, BioSample accession number SAMN35083989, and BioProject accession number PRJNA783162.
REFERENCES
- 1. Herrero-Villar M, Velarde R, Camarero PR, Taggart MA, Bandeira V, Fonseca C, Marco I, Mateo R. 2020. NSAIDs detected in Iberian avian scavengers and carrion after diclofenac registration for veterinary use in Spain. Environ Pollut 266:115157. doi: 10.1016/j.envpol.2020.115157 [DOI] [PubMed] [Google Scholar]
- 2. de la Puente R, Diez R, Diez MJ, Fernandez N, Sahagun AM, Rodriguez JM, Garcia JJ, Lopez C. 2024. Pharmacokinetics of meloxicam in different animal species: a comprehensive review. Vet Sci 11:1–21. doi: 10.3390/vetsci11110519 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Liang C, Chen Y, Ling Y, Li P, Liu J, Li X, Xu Y, Liu Z. 2025. Mechanisms of action and adaptive responses to diclofenac and meloxicam during the early life stages of Oryzias melastigma. Sci Total Environ 969:178927. doi: 10.1016/j.scitotenv.2025.178927 [DOI] [PubMed] [Google Scholar]
- 4. DrugBank. 2025. Available from: https://go.drugbank.com
- 5. Jiménez JJ, Muñoz BE, Sánchez MI, Pardo R. 2018. Forced and long-term degradation assays of tenoxicam, piroxicam and meloxicam in river water. degradation products and adsorption to sediment. Chemosphere 191:903–910. doi: 10.1016/j.chemosphere.2017.10.056 [DOI] [PubMed] [Google Scholar]
- 6. S DL, B VG, Murali V. 2024. From prescription to pollution: the ecological consequences of NSAIDs in aquatic ecosystems. Toxicol Rep 13:101775. doi: 10.1016/j.toxrep.2024.101775 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Montesinos A, Ardiaca M, Juan-Sallés C, Tesouro MA. 2015. Effects of meloxicam on hematologic and plasma biochemical analyte values and results of histologic examination of kidney biopsy specimens of African grey parrots (Psittacus erithacus). J Avian Med Surg 29:1–8. doi: 10.1647/2013-056 [DOI] [PubMed] [Google Scholar]
- 8. Amin HM, El-Feki MA, Abdalla AA, Youssef MA. 2017. Hematological and biochemical effects of Meloxicam in male albino rats. Curr Sci Int 6:23–33. [Google Scholar]
- 9. Sheikhlangi Z, Gharaei A, Mirdar Harijani J, Davari SA, Hassanein P, Rahdari A. 2023. Toxicological effects of meloxicam on physiological and antioxidant status of common carp (Cyprinus carpio). Vet Med Sci 9:2085–2094. doi: 10.1002/vms3.1207 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Behera S, Das S. 2023. Potential and prospects of Actinobacteria in the bioremediation of environmental pollutants: Cellular mechanisms and genetic regulations. Microbiol Res 273:127399. doi: 10.1016/j.micres.2023.127399 [DOI] [PubMed] [Google Scholar]
- 11. de Souza Rodrigues R, de Souza AQL, Feitoza MDO, Alves TCL, Barbosa AN, da Silva Santiago SRS, de Souza ADL. 2024. Biotechnological potential of actinomycetes in the 21st century: a brief review. Antonie Van Leeuwenhoek 117. doi: 10.1007/s10482-024-01964-y [DOI] [PubMed] [Google Scholar]
- 12. Tyan S, Kostrikina N, Sorokin V, Mulyukin A, Ivshina I. 2025. Adaptive responses of Gordonia alkanivorans IEGM 1277 to the action of meloxicam and its efficient biodegradation. Front Bioeng Biotechnol 13:1603975. doi: 10.3389/fbioe.2025.1603975 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Andrews S. 2010. FastQC a quality control tool for high throughput sequence data. Available from: https://www.bioinformatics.babraham.ac.uk/projects/fastqc
- 14. Nurk S, Bankevich A, Antipov D, Gurevich A, Korobeynikov A, Lapidus A, Prjibelsky A, Pyshkin A, Sirotkin A, Sirotkin Y, Stepanauskas R, McLean J, Lasken R, Clingenpeel S, Woyke T, Tesler G, Alekseyev M, Pevzner P. 2013. Assembling Genomes and Mini-metagenomes from Highly Chimeric Reads. In Research in Computational Molecular Biology. RECOMB 2013 Lecture Notes in Computer Science [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Gurevich A, Saveliev V, Vyahhi N, Tesler G. 2013. QUAST: quality assessment tool for genome assemblies. Bioinformatics 29:1072–1075. doi: 10.1093/bioinformatics/btt086 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Li W, O’Neill KR, Haft DH, DiCuccio M, Chetvernin V, Badretdin A, Coulouris G, Chitsaz F, Derbyshire MK, Durkin AS, Gonzales NR, Gwadz M, Lanczycki CJ, Song JS, Thanki N, Wang J, Yamashita RA, Yang M, Zheng C, Marchler-Bauer A, Thibaud-Nissen F. 2021. RefSeq: expanding the prokaryotic genome annotation pipeline reach with protein family model curation. Nucleic Acids Res 49:D1020–D1028. doi: 10.1093/nar/gkaa1105 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Yoon S-H, Ha S, 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/s10482-017-0844-4 [DOI] [PubMed] [Google Scholar]
- 18. Meier-Kolthoff JP, Auch AF, Klenk HP, Göker M. 2013. Genome sequence-based species delimitation with confidence intervals and improved distance functions. BMC Bioinformatics 14:60. doi: 10.1186/1471-2105-14-60 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. 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]
Associated Data
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Data Availability Statement
This Whole-Genome Shotgun project has been deposited in GenBank under the accession number NZ_JASIRQ000000000.1 and the genome assembly number GCF_030063815.1. Raw sequence reads were deposited in the Sequence Read Archive under BioSample accession number SRR35263698, BioSample accession number SAMN35083989, and BioProject accession number PRJNA783162.
