Skip to main content

Advertisement

Log in

Community Composition of Nitrite Reductase Gene Sequences in an Acid Mine Drainage Environment

  • Environmental Microbiology
  • Published:
Microbial Ecology Aims and scope Submit manuscript

Abstract

Denitrifying microbial communities play a central role in the nitrogen cycle, contribute to greenhouse gas production, and provide ecosystem services through the mitigation of nitrogen pollution. The impacts of human-induced acid mine drainage (AMD) and naturally occurring acid rock drainage (ARD), both characterized by low pH and high metal concentrations, on denitrifying microbial communities is not well understood. This study examined denitrifying microbes within sediments impacted by acidic and metal-rich AMD or ARD in the Iron Springs Mining District (10 sites across four regions over four time points) located in Southwest Colorado, USA. Denitrification functional gene sequences (nirS and nirK coding for nitrite reductase) had a high number of observed OTUs (260 for nirS and 253 for nirK) and were observed at sites with pH as low as 3.5 and metals > 2 mg/L (including aluminum, iron, manganese, strontium, and zinc). A majority of the nirK and nirS OTUs (> 60%) were present in only one sampling region. Approximately 8% of the nirK and nirS OTUs had a more cosmopolitan distribution with presence in three or more regions. Phylogenetically related OTUs were found across sites with very different chemistry. The overall community structure for nirK and nirS genes was correlated to conductivity and calcium (respectively), which may suggest that conductivity may play an important role in shaping the distribution of nirK- and nirS-type denitrifiers. Overall, these findings improve upon our understanding of the potential for denitrification within an ecosystem impacted by AMD or ARD and provide a foundation for future research to understand the rates and physiology of denitrifying organisms in these systems.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  1. Canfield DE, Alexander NG, Falkowski PG (2010) The evolution and future of Earth’s nitrogen cycle. Science 330:192–196

    CAS  PubMed  Google Scholar 

  2. Philippot L (2002) Denitrifying genes in bacterial and archaeal genomes. Biochim Biophys Acta Gene Struct Expr 3:355–376

    Google Scholar 

  3. Zumft WG (1997) Cell biology and molecular basis of denitrification. Microbiol Mol Biol Rev 61:533–616

    CAS  PubMed  PubMed Central  Google Scholar 

  4. Shapleigh JP (2013) Denitrifying prokaryotes. The Prokaryotes. Springer, Berlin

    Google Scholar 

  5. Azcue JM (1999) Environmental impacts of mining activities. Springer, Berlin

    Google Scholar 

  6. Banks D, Younger PL, Arnesen RT, Iversen ER, Banks SB (1997) Mine-water chemistry: the good, the bad and the ugly. Environ Geol 32:157–175

    Google Scholar 

  7. Grande JA, Beltrán R, Sáinz A, Santos JC, de la Torre ML, Borrego J (2005) Acid mine drainage and acid rock drainage processes in the environment of Herrerías mine (Iberian pyrite belt, Huelve-Spain) and impact on the Andevalo dam. Environ Geol 47:185–196

    CAS  Google Scholar 

  8. Xie J, He Z, Liu X, Liu X, Van Nostrand JD, Deng Y, Wu L, Zhou J, Qiu G (2011) GeoChip-based analysis of the functional gene diversity and metabolic potential of microbial communities in acid mine drainage. Appl Environ Microbiol 77(3):991–999

    CAS  PubMed  Google Scholar 

  9. Baeseman JL, Smith RL, Silverstein J (2006) Denitrification potential in stream sediments impacted by acid mine drainage: effects of pH, various electron donors, and iron. Microb Ecol 51:232–241

    CAS  PubMed  Google Scholar 

  10. Méndez-García C, Peláez AI, Mesa V, Sánchez J, Golyshina OV, Ferrer M (2015) Microbial diversity and metabolic networks in acid mine drainage habitats. Front Microbiol 6:475

    PubMed  PubMed Central  Google Scholar 

  11. Wallenstein MD, Myrold DD, Firestone M, Voytek M (2006) Environmental controls on denitrifying communities and denitrification rates: insights from molecular methods. Ecol Appl 16:2143–2152

    PubMed  Google Scholar 

  12. Šimek M, Jíšová L, Hopkins DW (2002) What is the so-called optimum pH for denitrification in soil? Soil Biol Biochem 34:1227–1234

    Google Scholar 

  13. Wiljer J, Delwiche CC (1954) Investigations on the denitrifying process in soil. Plant Soil 5:155–169

    Google Scholar 

  14. Parkin TB, Sexstone AJ, Tiedje JM (1985) Adaptation of denitrifying populations to low soil pH. Appl Environ Microbiol 49:1053–1056

    CAS  PubMed  PubMed Central  Google Scholar 

  15. Di Capua F, Lakaniemi AM, Puhakka JA, Lens PN, Esposito G (2017) High-rate thiosulfate-driven denitrification at pH lower than 5 in fluidized-bed reactor. Chem Eng J 310:282–291

    Google Scholar 

  16. Kandeler E, Kampichler C, Horak O (1996) Influence of heavy metals on the functional diversity of soil microbial communities. Biol Fertil Soils 23:299–306

    CAS  Google Scholar 

  17. Holtan-Hartwig L, Bechmann M, Høyås TR, Linjordet R, Bakken LR (2002) Heavy metals tolerance of soil denitrifying communities: N2O dynamics. Soil Biol Biochem 34:1181–1190

    CAS  Google Scholar 

  18. Cao Y, Green PG, Holden PA (2008) Microbial community composition and denitrifying enzyme activities in salt marsh sediments. Appl Environ Microbiol 74:7585–7595

    CAS  PubMed  PubMed Central  Google Scholar 

  19. Sobolev D, Begonia M (2008) Effects of heavy metal contamination upon soil microbes: lead-induced changes in general and denitrifying microbial communities as evidenced by molecular markers. Int J Environ Res Public Health 5:450–456

    CAS  PubMed  PubMed Central  Google Scholar 

  20. Liu Y, Liu Y, Zhou H, Li L, Zheng J, Zhang X, Pan G (2016) Abundance, composition and activity of denitrifier communities in metal polluted paddy soils. Sci Rep 6:19086

    CAS  PubMed  PubMed Central  Google Scholar 

  21. Colorado Geological Survey (1998) Abandoned Mine Lands. Web. http://coloradogeologicalsurvey.org/mineral-resources/abandoned-mine-lands/. Accessed 2/2/2016

  22. Nash JT (2002) Hydrogeochemical investigations of historic mining districts, Central Western Slope of Colorado, including influence on surface-water quality. US Department of the Interior, US Geological Survey (USGS), Reston

    Google Scholar 

  23. Ramanathan B, Boddicker AM, Roane TM, Mosier AC (2017) Nitrifier gene abundance and diversity in sediments impacted by acid mine drainage. Front Microbiol 8:2136

    PubMed  PubMed Central  Google Scholar 

  24. Sackett JD, Roane TM (2015) Comparative microbial ecology of sediment-associated microbial communities from anthropogenically and endogenously metal impacted systems, Masters Thesis, University of Colorado at Denver

  25. Henry S, Baudoin E, López-Gutiérrez JC, Martin-Laurent F, Brauman A, Philippot L (2004) Quantification of denitrifying bacteria in soils by nirK gene targeted real-time PCR. J Microbiol Methods 59:327–335

    CAS  PubMed  Google Scholar 

  26. Kandeler E, Deiglmayr K, Tscherko D, Philippot L (2006) Quantification of functional genes narG, nirK and nosZ of denitrifying bacteria across a glacier foreland by real time PCR. Appl Environ Microbiol 72:5957–5962

    CAS  PubMed  PubMed Central  Google Scholar 

  27. Throbäck IN, Enwall K, Jarvis Å, Hallin S (2004) Reassessing PCR primers targeting nirS, nirK and nosZ genes for community surveys of denitrifying bacteria with DGGE. FEMS Microbiol Ecol 49:401–417

    PubMed  Google Scholar 

  28. Edgar RC (2013) UPARSE: highly accurate OTU sequences from microbial amplicon reads. Nat Methods 10:996–998

    CAS  PubMed  Google Scholar 

  29. Caporaso JG, Kuczynski J, Stombaugh J, Bittinger K, Bushman FD, Costello EK, Huttley GA (2010) QIIME allows analysis of high-throughput community sequencing data. Nat Methods 7:335–336

    CAS  PubMed  PubMed Central  Google Scholar 

  30. Kearse M, Moir R, Wilson A, Stones-Havas S, Cheung M, Sturrock S, Thierer T (2012) Geneious basic: an integrated and extendable desktop software platform for the organization and analysis of sequence data. Bioinformatics 28:1647–1649

    PubMed  PubMed Central  Google Scholar 

  31. Katoh K, Misawa K, Kuma KI, Miyata T (2002) MAFFT: a novel method for rapid multiple sequence alignment based on fast Fourier transform. Nucleic Acids Res 30:3059–3066

    CAS  PubMed  PubMed Central  Google Scholar 

  32. Price MN, Dehal PS, Arkin AP (2010) FastTree 2–approximately maximum-likelihood trees for large alignments. PLoS One 5:9490

    Google Scholar 

  33. Letunic I, Bork P (2016) Interactive tree of life (iTOL) v3: an online tool for the display and annotation of phylogenetic and other trees. Nucleic Acids Res 44:242–245

    Google Scholar 

  34. Saeed A, Bhagabati N, Braisted J, Sturn A, Quackenbush J (2003) TIGR MeV multiexperiment viewer. The Institute for Genomic Research, Rockville

    Google Scholar 

  35. Ter Braak C (1985) Canonical correspondence analysis: a new eigenvector technique for multivariate direct gradient analysis. Ecology 67:1167–1179

    Google Scholar 

  36. Throbäck IN, Johansson M, Rosenquist M, Pell M, Hansson M, Hallin S (2007) Silver (Ag+) reduces denitrification and induces enrichment of novel nirK genotypes in soil. FEMS Microbiol Lett 270:189–194

    PubMed  Google Scholar 

  37. Palmer K, Horn MA (2015) Denitrification activity of a remarkably diverse fen denitrifier community in Finnish Lapland is N-oxide limited. PLoS One 10:123

    Google Scholar 

  38. Santoro AE, Boehm AB, Francis CA (2006) Denitrifier community composition along a nitrate and salinity gradient in a coastal aquifer. Appl Environ Microbiol 72:2102–2109

    CAS  PubMed  PubMed Central  Google Scholar 

  39. Smith JM, Ogram A (2008) Genetic and functional variation in denitrifier populations along a short-term restoration chronosequence. Appl Environ Microbiol 74:5615–5620

    CAS  PubMed  PubMed Central  Google Scholar 

  40. Mosier AC, Francis CA (2010) Denitrifier abundance and activity across the San Francisco Bay estuary. Environ Microbiol Rep 2:667–676

    CAS  PubMed  Google Scholar 

  41. Lisa JA, Jayakumar A, Ward BB, Song B (2017) nirS-type denitrifying bacterial assemblages respond to environmental conditions of a shallow estuary. Environ Microbiol Rep 9:766–778

    CAS  PubMed  Google Scholar 

  42. Saleh-Lakha S, Shannon KE, Henderson SL, Goyer C, Trevors JT, Zebarth BJ, Burton DL (2009) Effect of pH and temperature on denitrification gene expression and activity in Pseudomonas mandelii. Appl Environ Microbiol 75:3903–3911

    CAS  PubMed  PubMed Central  Google Scholar 

  43. Knowles R (1982) Denitrification. Microbiol Rev 46:43

    CAS  PubMed  PubMed Central  Google Scholar 

  44. Nägele W, Conrad R (1990) Influence of pH on the release of NO and N2O from fertilized and unfertilized soil. Biol Fertil Soils 10:139–144

    Google Scholar 

  45. Bollag JM, Barabasz W (1979) Effect of heavy metals on the denitrification process in soil. J Environ Qual 8:196–201

    CAS  Google Scholar 

  46. Sakadevan K, Zheng H, Bavor HJ (1999) Impact of heavy metals on denitrification in surface wetland sediments receiving wastewater. Water Sci Technol 40:349–355

    CAS  Google Scholar 

  47. Sandaa RA, Torsvik V, Enger Ø (2001) Influence of long-term heavy-metal contamination on microbial communities in soil. Soil Biol Biochem 33:287–295

    CAS  Google Scholar 

  48. Colorado Water Quality Control Commission (2012) Regulation No. 31 The Basic Standards and Methodologies for Surface Water

  49. McKnight DM, Bencala KE (1990) The chemistry of iron, aluminum, and dissolved organic material in three acidic, metal-enriched, mountain streams, as controlled by watershed and in-stream processes. Water Resour Res 26:3087–3100

    CAS  Google Scholar 

  50. Angell JH, Peng X, Ji Q, Craick I, Jayakumar A, Kearns PJ, Ward BB, Bowen JL (2018) Community composition of nitrous oxide related genes in salt marsh sediments exposed to nitrogen enrichment. Front Microbiol 9:170

    PubMed  PubMed Central  Google Scholar 

  51. Wei W, Isobe K, Nishizawa T, Zhu L, Shiratori Y, Ohte N, Senoo K (2015) Higher diversity and abundance of denitrifying microorganisms in environments than considered previously. ISME J 9:1954–1965

    CAS  PubMed  PubMed Central  Google Scholar 

  52. Long A, Song B, Fridey K, Silva A (2015) Detection and diversity of copper containing nitrite reductase genes (nirK) in prokaryotic and fungal communities of agricultural soils. FEMS Microbiol Ecol 91:1–9

    PubMed  Google Scholar 

  53. Jasrotia P, Green SJ, Canion A, Overholt WA, Prakash O, Wafula D, Hubbard D, Watson DB, Schadt CW, Brooks SC, Kostka JE (2014) Watershed-scale fungal community characterization along a pH gradient in a subsurface environment cocontaminated with uranium and nitrate. Appl Environ Microbiol 80:1810–1820

    PubMed  PubMed Central  Google Scholar 

  54. Mosier AC, Miller CS, Frischkorn KR, Ohm RA, Li Z, LaButti K, Lapidus A, Lipzen A, Chen C, Johnson J, Lindquist EA, Pan C, Hettich RL, Grigoriev IV, Singer SW, Banfield JF (2016) Fungi contribute critical but spatially varying roles in nitrogen and carbon cycling in acid mine drainage. Front Microbiol 7:238

    PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

We thank Joshua Sackett, Bhargavi Ramanathan, and Ashley Joslin for assistance with sample collection and DNA extraction. We thank Robert Edgar, Sladjana Subotic, Adrienne Narrowe, Andrew Boddicker, and Bhargavi Ramanathan for guidance on bioinformatic data analyses. Portions of this manuscript were previously published and copyrighted as a part of the University of Colorado Denver Master’s thesis submission (BW, 2017). This publication was made possible through data from the Iron Springs Project, which was collected and analyzed by the US Environmental Protection Agency, and through funding provided by the US Department of Agriculture, Forest Service (to TR), and by the University of Colorado, Denver (to AM). USDA is an equal opportunity employer, provider, and lender.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Annika C. Mosier.

Electronic supplementary material

ESM 1

(PDF 873 kb)

ESM 2

(XLSX 587 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wise, B.R., Roane, T.M. & Mosier, A.C. Community Composition of Nitrite Reductase Gene Sequences in an Acid Mine Drainage Environment. Microb Ecol 79, 562–575 (2020). https://doi.org/10.1007/s00248-019-01420-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00248-019-01420-9

Keywords

Navigation