Comparison of microbial communities in replicated woodchip bioreactors

Denitrification in woodchip bioreactors is a microbial process, but the effects of variations in bioreactors operation on microbial community structure are not well understood. Here, our goals were to understand hydraulic retention time (HRT) as a factor that influences woodchip bioreactor microbial...

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Veröffentlicht in:Journal of environmental quality 2022-03, Vol.51 (2), p.205-215
Hauptverfasser: Schaefer, Abby, Lee, Jaejin, Soupir, Michelle L., Moorman, Thomas B., Howe, Adina
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Sprache:eng
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Zusammenfassung:Denitrification in woodchip bioreactors is a microbial process, but the effects of variations in bioreactors operation on microbial community structure are not well understood. Here, our goals were to understand hydraulic retention time (HRT) as a factor that influences woodchip bioreactor microbial community variation and structure in replicated field bioreactors and to evaluate relationships between microbial community membership and marker genes for denitrification. We used a combination of quantitative polymerase chain reaction of nirS, nirK, nosZI, and nosZII and 16S rRNA amplicon sequencing to characterize the microbial communities of nine pilot‐scale woodchip bioreactors located at Iowa State University. Our results showed dynamic microbial communities but with persistent taxa between two sampling years and three HRTs. Similarities between functional gene copy numbers across sampling year and HRT indicate that the potential for denitrification is conserved despite differences in the microbial communities. These results are evidence that there are specific and persistent taxa within replicated bioreactors. Woodchip bioreactor microbial community membership is recommended to be the focus of future studies to better understand the relationship between microbial community functions and bioreactor management. Core Ideas We observed that phylogenetic patterns within bioreactors are persistent over both time and HRT. Persistent taxa are targets to link microbial metabolism to DBR performance. qPCR measurements of denitrifying genes lacked correlation with differences in microbiomes.
ISSN:0047-2425
1537-2537
DOI:10.1002/jeq2.20320