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Snow microbiome functional analyses reveal novel aspects of microbial metabolism of complex organic compounds.
Zhu, Chengsheng; Miller, Maximilian; Lusskin, Nicholas; Bergk Pinto, Benoît; Maccario, Lorrie; Häggblom, Max; Vogel, Timothy; Larose, Catherine; Bromberg, Yana.
Afiliação
  • Zhu C; Department of Biochemistry and Microbiology, Rutgers University, New Brunswick, NJ, USA.
  • Miller M; Department of Biochemistry and Microbiology, Rutgers University, New Brunswick, NJ, USA.
  • Lusskin N; Department of Biochemistry and Microbiology, Rutgers University, New Brunswick, NJ, USA.
  • Bergk Pinto B; Environmental Microbial Genomics, Laboratoire Ampere, Ecole Centrale de Lyon, CNRS UMR 5005, Université de Lyon, Ecully, France.
  • Maccario L; Environmental Microbial Genomics, Laboratoire Ampere, Ecole Centrale de Lyon, CNRS UMR 5005, Université de Lyon, Ecully, France.
  • Häggblom M; Section of Microbiology, Copenhagen University, Copenhagen Ø, Denmark.
  • Vogel T; Department of Biochemistry and Microbiology, Rutgers University, New Brunswick, NJ, USA.
  • Larose C; Environmental Microbial Genomics, Laboratoire Ampere, Ecole Centrale de Lyon, CNRS UMR 5005, Université de Lyon, Ecully, France.
  • Bromberg Y; Environmental Microbial Genomics, Laboratoire Ampere, Ecole Centrale de Lyon, CNRS UMR 5005, Université de Lyon, Ecully, France.
Microbiologyopen ; 9(9): e1100, 2020 09.
Article em En | MEDLINE | ID: mdl-32762019
ABSTRACT
Microbes active in extreme cold are not as well explored as those of other extreme environments. Studies have revealed a substantial microbial diversity and identified cold-specific microbiome molecular functions. We analyzed the metagenomes and metatranscriptomes of 20 snow samples collected in early and late spring in Svalbard, Norway using mi-faser, our read-based computational microbiome function annotation tool. Our results reveal a more diverse microbiome functional capacity and activity in the early- vs. late-spring samples. We also find that functional dissimilarity between the same-sample metagenomes and metatranscriptomes is significantly higher in early than late spring samples. These findings suggest that early spring samples may contain a larger fraction of DNA of dormant (or dead) organisms, while late spring samples reflect a new, metabolically active community. We further show that the abundance of sequencing reads mapping to the fatty acid synthesis-related microbial pathways in late spring metagenomes and metatranscriptomes is significantly correlated with the organic acid levels measured in these samples. Similarly, the organic acid levels correlate with the pathway read abundances of geraniol degradation and inversely correlate with those of styrene degradation, suggesting a possible nutrient change. Our study thus highlights the activity of microbial degradation pathways of complex organic compounds previously unreported at low temperatures.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Compostos Orgânicos / Neve / Bactérias / Microbiota Tipo de estudo: Prognostic_studies País/Região como assunto: Europa Idioma: En Revista: Microbiologyopen Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Compostos Orgânicos / Neve / Bactérias / Microbiota Tipo de estudo: Prognostic_studies País/Região como assunto: Europa Idioma: En Revista: Microbiologyopen Ano de publicação: 2020 Tipo de documento: Article