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Functional gene pyrosequencing reveals core proteobacterial denitrifiers in boreal lakes

  • Jatta Saarenheimo*
  • , Marja Annika Tiirola
  • , Antti J. Rissanen
  • *Tämän työn vastaava kirjoittaja

    Tutkimustuotos: ArtikkeliTieteellinenvertaisarvioitu

    60 Sitaatiot (Scopus)

    Abstrakti

    Denitrification is an important microbial process in aquatic ecosystems that can reduce the effects of eutrophication. Here, quantification and pyrosequencing of nirS, nirK, and nosZ genes encoding for nitrite and nitrous oxide reductases was performed in sediment samples from four boreal lakes to determine the structure and seasonal stability of denitrifying microbial populations. Sediment quality and nitrate concentrations were linked to the quantity and diversity of denitrification genes, the abundance of denitrifying populations (nirS and nosZ genes) correlated with coupled nitrificationdenitrification (Dn), and the denitrification of the overlying water NO3- (Dw) correlated with the nirS/nirK ratio. The number of core nirS, nirK, and nosZ operational taxonomical units (OTUs) was low (6, 7, and 3, respectively), and most of these core OTUs were shared among the lakes. Dominant nirK sequences matched best with those of the order Rhizobiales, which was one of the main bacterial orders present in the sediment microbiomes, whereas the dominant nirS sequences were affiliated with the order Burkholderiales. Over half of the nosZ sequences belonged to a single OTU of the order Burkholderiales, but coupled nitrification-denitrification rate correlated with another dominant nosZ OTU assigned to the order Rhodospirillales. The study indicates that a few core proteobacterial clusters may drive denitrification in boreal lake sediments, as the same Alpha- and Betaproteobacteria denitrifier clusters were present in different lakes and seasons.

    AlkuperäiskieliEnglanti
    Artikkeli674
    Sivumäärä12
    JulkaisuFrontiers in Microbiology
    Vuosikerta6
    DOI - pysyväislinkit
    TilaJulkaistu - 1 heinäk. 2015
    OKM-julkaisutyyppiA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

    Rahoitus

    We want to thank ENSTE graduate school for funding of JS, Lammi Biological Station for providing the sampling facilities, Anne Ojala and Lauri Arvola for taking part in the referred papers, Anna Taskinen for helping with the DNA extractions and Kimmo Mattila for helping with bioinformatics. The work was partially supported by the funding of Maj and Tor Nessling foundation, Academy of Finland projects 260797 and ERC consolidator project Micro-RIP for MT

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