15N-nitrate and 34S-sulfate isotopic fractionation reflects electron acceptor ‘recycling’ during hydrocarbon biodegradation

Kern, Martin; Watzinger, Andrea; Scherr, Kerstin E.

doi:10.1016/j.nbt.2016.03.004

Cited by 2 publications

(1 citation statement)

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“…Most microorganisms, including hydrocarbondegrading bacteria, consistently use ammonium as their optimal nitrogen source (Hasinger et al 2012;Kern et al 2017). Figure 4 shows that all the genes except the alcvx gene had close relationships with ammonium.…”

Section: Functional Genes Diagnosismentioning

confidence: 99%

Diagnosing bioremediation of crude oil-contaminated soil and related geochemical processes at the field scale through microbial community and functional genes

et al. 2020

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Purpose: Bioremediation is widely considered the most desirable procedure for remediation of oil-contaminated soil. Few studies have focused on the relationships among microbial community, functional genes of biodegradation, and geochemical processes during field bioremediation, which provide crucial information for bioremediation. Methods: In the current study, the microbial community and functional genes related to hydrocarbon and nitrogen metabolism, combined with the soil physico-chemical properties, were used to diagnose a set of bioremediation experiments, including bioaugmentation, biostimulation, and phytoremediation, at the field scale. Result: The results showed that the added nutrients stimulated a variety of microorganisms, including hydrocarbon degradation bacteria and nitrogen metabolism microorganisms. The functional genes reflected the possibility of aerobic denitrification in the field, which may be helpful in biodegradation. Biostimulation was found to be the most suitable of the studied bioremediation methods in the field. Conclusion:We offer a feasible approach to obtain useful bioremediation information and assist with the development of appropriate remediation procedures. The findings improve our knowledge of the interactions between microorganisms and edaphic parameters.

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Section: Functional Genes Diagnosismentioning

confidence: 99%