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Into the darkness: the ecologies of novel 'microbial dark matter' phyla in an Antarctic lake.
Williams, Timothy J; Allen, Michelle A; Panwar, Pratibha; Cavicchioli, Ricardo.
Afiliação
  • Williams TJ; School of Biotechnology and Biomolecular Sciences, UNSW Sydney, Sydney, NSW, 2052, Australia.
  • Allen MA; School of Biotechnology and Biomolecular Sciences, UNSW Sydney, Sydney, NSW, 2052, Australia.
  • Panwar P; School of Biotechnology and Biomolecular Sciences, UNSW Sydney, Sydney, NSW, 2052, Australia.
  • Cavicchioli R; School of Biotechnology and Biomolecular Sciences, UNSW Sydney, Sydney, NSW, 2052, Australia.
Environ Microbiol ; 24(5): 2576-2603, 2022 05.
Article em En | MEDLINE | ID: mdl-35466505
Uncultivated microbial clades ('microbial dark matter') are inferred to play important but uncharacterized roles in nutrient cycling. Using Antarctic lake (Ace Lake, Vestfold Hills) metagenomes, 12 metagenome-assembled genomes (MAGs; 88%-100% complete) were generated for four 'dark matter' phyla: six MAGs from Candidatus Auribacterota (=Aureabacteria, SURF-CP-2), inferred to be hydrogen- and sulfide-producing fermentative heterotrophs, with individual MAGs encoding bacterial microcompartments (BMCs), gas vesicles, and type IV pili; one MAG (100% complete) from Candidatus Hinthialibacterota (=OLB16), inferred to be a facultative anaerobe capable of dissimilatory nitrate reduction to ammonia, specialized for mineralization of complex organic matter (e.g. sulfated polysaccharides), and encoding BMCs, flagella, and Tad pili; three MAGs from Candidatus Electryoneota (=AABM5-125-24), previously reported to include facultative anaerobes capable of dissimilatory sulfate reduction, and here inferred to perform sulfite oxidation, reverse tricarboxylic acid cycle for autotrophy, and possess numerous proteolytic enzymes; two MAGs from Candidatus Lernaellota (=FEN-1099), inferred to be capable of formate oxidation, amino acid fermentation, and possess numerous enzymes for protein and polysaccharide degradation. The presence of 16S rRNA gene sequences in public metagenome datasets (88%-100% identity) suggests these 'dark matter' phyla contribute to sulfur cycling, degradation of complex organic matter, ammonification and/or chemolithoautotrophic CO2 fixation in diverse global environments.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Lagos / Metagenoma Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Lagos / Metagenoma Idioma: En Ano de publicação: 2022 Tipo de documento: Article