Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 13Antibiotic Resistance in BacteriaPharmaceutical and Antibiotic Environmental ImpactsAnaerobic Digestion and Biogas Production

The DOI matches its Crossref record.

Antibiotic-Resistant Desulfovibrio Produces H2S from Supplements for Animal Farming

Open access

Abstract

Sulphate-reducing bacteria, primarily Desulfovibrio, are responsible for the active generation of H2S in swine production waste. The model species for sulphate reduction studies, Desulfovibrio vulgaris strain L2, was previously isolated from swine manure characterized by high rates of dissimilatory sulphate reduction. The source of electron acceptors in low-sulphate swine waste for the high rate of H2S formation remains uncertain. Here, we demonstrate the ability of the L2 strain to use common animal farming supplements including L-lysine-sulphate, gypsum and gypsum plasterboards as electron acceptors for H2S production. Genome sequencing of strain L2 revealed the presence of two megaplasmids and predicted resistance to various antimicrobials and mercury, which was confirmed in physiological experiments. Most of antibiotic resistance genes (ARG) are carried by two class 1 integrons located on the chromosome and on the plasmid pDsulf-L2-2. These ARGs, predicted to confer resistance to beta-lactams, aminoglycosides, lincosamides, sulphonamides, chloramphenicol and tetracycline, were probably laterally acquired from various Gammaproteobacteria and Firmicutes. Resistance to mercury is likely enabled by two mer operons also located on the chromosome and on pDsulf-L2-2 and acquired via horizontal gene transfer. The second megaplasmid, pDsulf-L2-1, encoded nitrogenase, catalase and type III secretion system suggesting close contact of the strain with intestinal cells in the swine gut. The location of ARGs on mobile elements allows us to consider D. vulgaris strain L2 as a possible vector transferring antimicrobials resistance determinants between the gut microbiote and microbial communities in environmental biotopes.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3390/microorganisms11040838

Cites

Statistics

Figures

Figure 1 X-ray diffraction patterns of (A) gypsum and (B) gypsum plasterboard. The diagnostic peaks for gypsum CaSO4 2H2O (●) are indicated. Letter code: Ab = albite, NaAlSi3O8. The vertical bar shows the scale of relative counts.
Figure 1 X-ray diffraction patterns of (A) gypsum and (B) gypsum plasterboard. The diagnostic peaks for gypsum CaSO4 2H2O (●) are indicated. Letter code: Ab = albite, NaAlSi3O8. The vertical bar shows the scale of relative counts.CC BY · PubMed Central
Figure 2 (A,B) TEM micrographs of ultrathin layers of strain L2 and (C) Phylogenetic position of D. vulgaris strain L2 inferred using neighbor-joining inference on the 120 concatenated single copy marker proteins. The optimal tree is shown. The percentage of replicate trees in which the associated taxa clustered together in the bootstrap test (1000 replicates) are shown next to the branches. The tree is drawn to scale, with branch lengths in the same units as those of the evolutionary distances used to infer the phylogenetic tree. The evolutionary distances were computed using the Poisson correction method and are in the units of the number of amino acid substitutions per site. All ambiguous positions were removed for each sequence pair (pairwise deletion option). There was a total of 5040 positions in the final dataset. Evolutionary analyses were conducted in MEGA11.
Figure 2 (A,B) TEM micrographs of ultrathin layers of strain L2 and (C) Phylogenetic position of D. vulgaris strain L2 inferred using neighbor-joining inference on the 120 concatenated single copy marker proteins. The optimal tree is shown. The percentage of replicate trees in which the associated taxa clustered together in the bootstrap test (1000 replicates) are shown next to the branches. The tree is drawn to scale, with branch lengths in the same units as those of the evolutionary distances used to infer the phylogenetic tree. The evolutionary distances were computed using the Poisson correction method and are in the units of the number of amino acid substitutions per site. All ambiguous positions were removed for each sequence pair (pairwise deletion option). There was a total of 5040 positions in the final dataset. Evolutionary analyses were conducted in MEGA11.CC BY · PubMed Central
Figure 3 (A) Growth of strain L2 with Na2SO4, gypsum (CaSO4 2H2O), gypsum plasterboard and L-lysine sulphate (2(C6H14N2O2). H2SO4) as the sole electron acceptor and (B) H2S production during growth with Na2SO4, gypsum (CaSO4. 2H2O), gypsum plasterboard and L-lysine sulphate (2(C6H14N2O2). H2SO4): ▲ Na2SO4 (triangles); ♦ gypsum (diamonds); ○ gypsum plasterboard (circles); □ L-lysine sulphate (squares).
Figure 3 (A) Growth of strain L2 with Na2SO4, gypsum (CaSO4 2H2O), gypsum plasterboard and L-lysine sulphate (2(C6H14N2O2). H2SO4) as the sole electron acceptor and (B) H2S production during growth with Na2SO4, gypsum (CaSO4. 2H2O), gypsum plasterboard and L-lysine sulphate (2(C6H14N2O2). H2SO4): ▲ Na2SO4 (triangles); ♦ gypsum (diamonds); ○ gypsum plasterboard (circles); □ L-lysine sulphate (squares).CC BY · PubMed Central
Figure 4 Integrons carrying antibiotic resistance genes on the chromosome and plasmid pDsulf-L2-2. Genes are represented by arrows. Transposase genes are shown by gray arrows; black arrows indicate genes encoding the conjugate transfer protein and the hypothetical protein. Gray areas highlight regions of sequence identity (>99%) between the plasmid and the chromosome.
Figure 4 Integrons carrying antibiotic resistance genes on the chromosome and plasmid pDsulf-L2-2. Genes are represented by arrows. Transposase genes are shown by gray arrows; black arrows indicate genes encoding the conjugate transfer protein and the hypothetical protein. Gray areas highlight regions of sequence identity (>99%) between the plasmid and the chromosome.CC BY · PubMed Central

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

No references could be resolved yet.

Research works printed but not linked: 59

  1. Fox, 1994, Intracellular Campylobacter-like organism from ferrets and hamsters with proliferative bowel disease is a Desulfovibrio sp., J. Clin. Microbiol., 32, 1229, 10.1128/jcm.32.5.1229-1237.1994 · DOI
  2. Beerens, 1977, Sulfate-reducing anaerobic bacteria in human feces, Am. J. Clin. Nutr., 30, 1770, 10.1093/ajcn/30.11.1770 · DOI
  3. Gibson, 1988, Competition for hydrogen between sulphate-reducing bacteria and methanogenic bacteria from the human large intestine, J. Appl. Bacteriol., 65, 241, 10.1111/j.1365-2672.1988.tb01891.x · DOI
  4. Goldstein, 2003, Desulfovibrio desulfuricans bacteremia and review of human Desulfovibrio infections, J. Clin. Microbiol., 41, 2752, 10.1128/JCM.41.6.2752-2754.2003 · DOI
  5. Fite, 2004, Identification and quantitation of mucosal and faecal desulfovibrios using real time polymerase chain reaction, Gut, 53, 523, 10.1136/gut.2003.031245 · DOI
  6. Liu, 2013, Development of a group-specific PCR-based DGGE for analyzing sulfate-reducing bacteria in human gut, Chin. J. Microbiol., 25, 706
  7. Rey, 2013, Metabolic niche of a prominent sulfate-reducing human gut bacterium, Proc. Nat. Acad. Sci. USA, 110, 13582, 10.1073/pnas.1312524110 · DOI
  8. Barton, 2017, Sulfur Cycling and the Intestinal Microbiome, Dig. Dis. Sci., 62, 2241, 10.1007/s10620-017-4689-5 · DOI
  9. Pitcher, 2000, The contribution of sulphate reducing bacteria and 5-aminosalicylic acid to faecal sulphide in patients with ulcerative colitis, Gut, 46, 64, 10.1136/gut.46.1.64 · DOI
  10. Fiachra, 2010, Bacterial colonization of colonic crypt mucous gel and disease activity in ulcerative colitis, Ann. Surg., 252, 869, 10.1097/SLA.0b013e3181fdc54c · DOI
  11. Loubinoux, 2002, Sulfate-reducing bacteria in human feces and their association with inflammatory bowel diseases, FEMS Microbiol. Ecol., 40, 107, 10.1111/j.1574-6941.2002.tb00942.x · DOI
  12. Scanlan, 2009, Culture-independent analysis of desulfovibrios in the human distal colon of healthy, colorectal cancer and polypectomized individuals, FEMS Microbiol. Ecol., 69, 213, 10.1111/j.1574-6941.2009.00709.x · DOI
  13. Wolf, 2022, Diversity and distribution of sulfur metabolic genes in the human gut microbiome and their association with colorectal cancer, Microbiome, 10, 64, 10.1186/s40168-022-01242-x · DOI
  14. McDougall, 1997, Bacteremia caused by a recently described novel Desulfovibrio species, J. Clin. Microbiol., 35, 1805, 10.1128/jcm.35.7.1805-1808.1997 · DOI
  15. Loubinoux, 2000, Bacteremia caused by a strain of Desulfovibrio related to the provisionally named Desulfovibrio fairfieldensis, J. Clin. Microbiol., 38, 931, 10.1128/JCM.38.2.931-934.2000 · DOI
  16. Shukla, 2000, Desulfovibrio desulfuricans bacteremia in a dog, J. Clin. Microbiol., 38, 1701, 10.1128/JCM.38.4.1701-1702.2000 · DOI
  17. Hagiya, 2018, Desulfovibrio desulfuricans bacteremia: A case report and literature review, Anaerobe, 49, 112, 10.1016/j.anaerobe.2017.12.013 · DOI
  18. Lozniewski, 1999, First isolation of Desulfovibrio species as part of a polymicrobial infection from a brain abscess, Eur. J. Clin. Microbiol. Infect. Dis., 18, 602, 10.1007/s100960050357 · DOI
  19. Okamoto, Y., Miyabe, Y., Seki, M., Ushio, Y., Sato, K., Kasama, E., Akiyama, K., Karasawa, K., Uchida, K., and Kikuchi, K. (2022). First case of a renal cyst infection caused by Desulfovibrio: A case report and literature review. BMC Nephrol., 23. · DOI
  20. Lin, 2022, Pathogenic effects of Desulfovibrio in the gut on fatty liver in diet-induced obese mice and children with obesity, J. Gastroenterol., 57, 913, 10.1007/s00535-022-01909-0 · DOI
  21. Vasoo, 2014, Desulfovibrio legallii prosthetic shoulder joint infection and review of antimicrobial susceptibility and clinical characteristics of Desulfovibrio infections, J. Clin. Microbiol., 52, 3105, 10.1128/JCM.00083-14 · DOI
  22. Nakao, 2009, Susceptibilities of 23 Desulfovibrio isolates from humans. Antimicrob, Agents Chemother., 53, 5308, 10.1128/AAC.00630-09 · DOI
  23. Carattoli, 2013, Plasmids and the spread of resistance, Int. J. Med. Microbiol., 303, 298, 10.1016/j.ijmm.2013.02.001 · DOI
  24. Postgate, J.R. (1984). The Sulphate-Reducing Bacteria, Cambridge University Press. [2nd ed.].
  25. Heidelberg, 2004, The genome sequence of the anaerobic, sulfate-reducing bacterium Desulfovibrio vulgaris Hildenborough, Nat. Biotechnol., 22, 554, 10.1038/nbt959 · DOI
  26. Sheik, 2010, Desulfovibrio africanus subsp. uniflagellum subsp. nov., a sulfate-reducing bacterium from a uranium-contaminated subsurface aquifer, Int. J. Syst. Evol. Microbiol., 60, 880, 10.1099/ijs.0.006668-0 · DOI
  27. Whiteley, 2009, Characterization of pNC1, a small and mobilizable plasmid for use in genetic manipulation of Desulfovibrio africanus, J. Microbiol. Methods, 79, 23, 10.1016/j.mimet.2009.07.013 · DOI
  28. Rabus, 2015, A Post-Genomic View of the Ecophysiology, Catabolism and Biotechnological Relevance of Sulphate-Reducing Prokaryotes, Adv. Microb. Physiol., 66, 55, 10.1016/bs.ampbs.2015.05.002 · DOI
  29. Karnachuk, 2021, Microbial sulfate reduction by Desulfovibrio is an important source of hydrogen sulfide from a large swine finishing facility, Sci. Rep., 11, 10720, 10.1038/s41598-021-90256-w · DOI
  30. Karnachuk, 2002, Growth of sulfate-reducing bacteria with solid-phase electron acceptors, Appl. Microbiol. Biotechnol., 58, 482, 10.1007/s00253-001-0914-3 · DOI
  31. Li, 2019, Bioavailability of l-lysine sulfate relative to l-lysine HCl for growing-finishing pigs, Transl. Anim. Sci., 3, 1254, 10.1093/tas/txz094 · DOI
  32. Ran, 2019, Diversity and community pattern of sulfate-reducing bacteria in piglet gut, J. Anim. Sci. Biotechnol., 10, 40, 10.1186/s40104-019-0346-5 · DOI
  33. Holman, 2022, Novel Insights into the Pig Gut Microbiome Using Metagenome-Assembled Genomes, Microbiol. Spectr., 10, e0238022, 10.1128/spectrum.02380-22 · DOI
  34. Wylensek, 2020, A collection of bacterial isolates from the pig intestine reveals functional and taxonomic diversity, Nat. Commun., 11, 6389, 10.1038/s41467-020-19929-w · DOI
  35. Patel, 2020, Antibiotic Stewardship in Food-producing Animals: Challenges, Progress, and Opportunities, Clin. Ther., 42, 1649, 10.1016/j.clinthera.2020.07.004 · DOI
  36. Parajuli, P., Rajput, M.I., and Verma, N.K. (2019). Plasmids of Shigella flexneri serotype 1c strain Y394 provide advantages to bacteria in the host. BMC Microbiol., 19. · DOI
  37. Ikkert, 2013, Characterization of precipitates formed by H2S-producing, Cu-resistant Firmicute isolates of Tissierella from human gut and Desulfosporosinus from mine waste, Antonie Van Leeuwenhoek, 103, 1221, 10.1007/s10482-013-9900-x · DOI
  38. Balows, A., Trüper, H.G., Dworkin, M., Harder, W., and Schleifer, K.H. (1992). The Prokaryotes: A Handbook on the Biology of Bacteria: Ecophysiology, Isolation, Identification, Applications, Springer. · DOI
  39. Karnachuk, 2006, Distribution, diversity, and activity of sulfate-reducing bacteria in the water column in Gek-Gel Lake, Azerbaijan, Mikrobiologiia, 75, 101
  40. Karnachuk, 2019, Domestication of previously uncultivated ‘Candidatus Desulforudis audaxviator’ from a deep aquifer in Siberia sheds light on its physiology and evolution, ISME J., 13, 1947, 10.1038/s41396-019-0402-3 · DOI
  41. Salzberg, 2011, FLASH: Fast length adjustment of short reads to improve genome assemblies, Bioinformatics, 27, 2957, 10.1093/bioinformatics/btr507 · DOI · Paper page
  42. Kolmogorov, 2019, Assembly of long, error-prone reads using repeat graphs, Nat. Biotechnol., 37, 540, 10.1038/s41587-019-0072-8 · DOI · Paper page
  43. Walker, B.J., Abeel, T., Shea, T., Priest, M., Abouelliel, A., Sakthikumar, S., Cuomo, C.A., Zeng, Q., Wortman, J., and Young, S.K. (2014). Pilon: An integrated tool for comprehensive microbial variant detection and genome assembly improvement. PLoS ONE, 9. · DOI
  44. Brettin, 2015, RASTtk: A modular and extensible implementation of the RAST algorithm for building custom annotation pipelines and annotating batches of genomes, Sci. Rep., 5, 8365, 10.1038/srep08365 · DOI
  45. Waite, 2020, Proposal to reclassify the proteobacterial classes Deltaproteobacteria and Oligoflexia, and the phylum Thermodesulfobacteria into four phyla reflecting major functional capabilities, Int. J. Syst. Evol. Microbiol., 70, 5972, 10.1099/ijsem.0.004213 · DOI
  46. Walker, 2009, Contribution of mobile genetic elements to Desulfovibrio vulgaris genome plasticity, Environ. Microbiol., 11, 2244, 10.1111/j.1462-2920.2009.01946.x · DOI
  47. Konstantinidis, 2005, Genomic insights that advance the species definition for prokaryotes, Proc. Natl. Acad. Sci. USA, 102, 2567, 10.1073/pnas.0409727102 · DOI
  48. Jain, 2018, High throughput ANI analysis of 90K prokaryotic genomes reveals clear species boundaries, Nat. Commun., 9, 5114, 10.1038/s41467-018-07641-9 · DOI · Paper page
  49. Yoon, 2018, Pseudomonas syringae evades phagocytosis by animal cells via type III effector-mediated regulation of actin filament plasticity, Environ. Microbiol., 20, 3980, 10.1111/1462-2920.14426 · DOI
  50. Gillings, 2008, The evolution of class 1 integrons and the rise of antibiotic resistance, J. Bacteriol., 190, 5095, 10.1128/JB.00152-08 · DOI
  51. Nascimento, 2003, Operon mer: Bacterial resistance to mercury and potential for bioremediation of contaminated environments, Genet. Mol. Res., 2, 92
  52. Nie, Y., Xie, X.Q., Zhou, L., Guan, Q., Ren, Y., Mao, Y., Shi, J.S., Xu, Z.H., and Geng, Y. (2022). Desulfovibrio fairfieldensis-Derived Outer Membrane Vesicles Damage Epithelial Barrier and Induce Inflammation and Pyroptosis in Macrophages. Cells, 12. · DOI
  53. Wang, 2016, Escherichia coli Type III Secretion System 2 ATPase EivC Is Involved in the Motility and Virulence of Avian Pathogenic Escherichia coli, Front. Microbiol., 7, 1387, 10.3389/fmicb.2016.01387 · DOI
  54. Portaliou, 2016, Type III Secretion: Building and Operating a Remarkable Nanomachine, Trends Biochem. Sci., 41, 175, 10.1016/j.tibs.2015.09.005 · DOI
  55. Schneider, 2002, Genome wide identification of proteins secreted by the Hrp type III protein secretion system of Pseudomonas syringae pv. tomato DC3000, Proc. Natl. Acad. Sci. USA, 99, 7652, 10.1073/pnas.112183899 · DOI
  56. Osborn, 1997, Distribution, diversity and evolution of the bacterial mercury resistance (mer) operon, FEMS Microbiol. Rev., 19, 239, 10.1111/j.1574-6976.1997.tb00300.x · DOI
  57. Liu, 2011, Microfluidic fluorescence in situ hybridization and flow cytometry (μFlowFISH), Lab Chip, 11, 2673, 10.1039/c1lc20151d · DOI
  58. Feilberg, 2017, Contribution of livestock H2S to total sulfur emissions in a region with intensive animal production, Nat. Commun., 8, 1069, 10.1038/s41467-017-01016-2 · DOI
  59. Lei, H., Du, Q., Lu, N., Jiang, X., Li, M., Xia, D., and Long, K. (2023). Comparison of the microbiome-metabolome response to copper sulfate and copper glycinate in growing pigs. Animals, 13. · DOI

Cited by

  • Current Concepts in Probiotic Safety and Efficacy

    Churin, A. A., Sokolyanskaya, L. O., Lukina, A. P., & Karnachuk, O. V. (2026) · Nutrients · doi:10.3390/nu18040696 · Cited by 31

    “The identification of mobile antimicrobial resistance genes and their potential impact on intestinal resistance also requires whole-genome sequencing and detailed characterization of antibiotic resistance genes [42,66–68].”
    Self-citation

See all 13

Metadata

Authors
Karnachuk, O. V., Beletsky, A. V., Rakitin, A. L., Ikkert, O. P., Avakyan, M. R., Zyusman, V. S., Napilov, A., Mardanov, A. V., & Ravin, N. V.
Affiliations
  • National Research Tomsk State University (RU)
  • Russian Academy of Sciences (RU)
Corresponding author
Karnachuk, Olga V.
Venue
Microorganisms
Publisher
MDPI AG
Published
2023-03-25
Volume
11
Issue
4
Pages
838
ISSN
2076-2607 (ISSN-L)
OpenAlex
W4361006555
Cited by
13
References
0
Citations by year
2026: 4 · 2025: 4 · 2024: 3 · 2023: 2
FWCI
1.11
Type
journal article
Language
en
Open access
Locations
  • Microorganisms (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Ministry of Science (Agreement № 075-15-2021-1401)
Topics
  • Health Sciences › Medicine › Microbiology (medical) › Antibiotic Resistance in Bacteria
  • Physical Sciences › Environmental Science › Pollution › Pharmaceutical and Antibiotic Environmental Impacts
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Anaerobic Digestion and Biogas Production
Keywords
hydrogen sulfide production, sulfate-reducing bacteria, pig manure, antibiotic resistance genes, class 1 integron, megaplasmid, horizontal gene transfer, mercury resistance, mer operon, gypsum, beta-lactam resistance, aminoglycoside resistance, type III secretion system, nitrogenase, swine gut microbiota

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Antibiotic-Resistant Desulfovibrio Produces H2S from Supplements for Animal Farming. https://app.cochat.ai/papers/10.3390/microorganisms11040838
The paper
Karnachuk, O. V., Beletsky, A. V., Rakitin, A. L., Ikkert, O. P., Avakyan, M. R., Zyusman, V. S., Napilov, A., Mardanov, A. V., & Ravin, N. V. (2023). Antibiotic-Resistant Desulfovibrio Produces H2S from Supplements for Animal Farming. Microorganisms. https://doi.org/10.3390/microorganisms11040838