Dynamic substrate preferences predict metabolic properties of a simple microbial consortium

BMC Bioinformatics

Volumn 18, Issue 1, 2017, Pages

  Erbilgin, Onur ^a   Bowen, Benjamin P ^a,b   Kosina, Suzanne M ^a   Jenkins, Stefan ^a,c   Lau, Rebecca K ^a   Northen, Trent R ^a,b  

^a LAWRENCE BERKELEY NATIONAL LABORATORY   (United States)

^b DOE JOINT GENOME INSTITUTE   (United States)

^c INTREXON CORPORATION   (United States)

Author keywords

Microbiology; Predicting community function; Quantitative metabolomics; Substrate preferences

Indexed keywords

AMINO ACIDS; BACTERIA; BACTERIOLOGY; BATCH CELL CULTURE; FORECASTING; GLUCOSE; GROUNDWATER; METABOLISM; MICROBIOLOGY; MICROORGANISMS; PHYSIOLOGY;

BIOCHEMICAL FUNCTIONS; BIOMASS COMPOSITIONS; BIOTECHNOLOGICAL PROCESS; COMMUNITY FUNCTION; METABOLIC PROPERTIES; METABOLOMICS; MICROBIAL COMMUNITY STRUCTURES; SPECIES INTERACTIONS;

SUBSTRATES;

RNA 16S;

BACILLUS; CHEMISTRY; COCULTURE; CULTURE MEDIUM; GENETICS; METABOLISM; METABOLOMICS; MICROBIAL CONSORTIUM; MICROBIOLOGY; PHYLOGENY; PSEUDOMONAS; SEQUENCE ANALYSIS; THEORETICAL MODEL;

BACILLUS; COCULTURE TECHNIQUES; CULTURE MEDIA; METABOLOMICS; MICROBIAL CONSORTIA; MODELS, THEORETICAL; PHYLOGENY; PSEUDOMONAS; RNA, RIBOSOMAL, 16S; SEQUENCE ANALYSIS, RNA; SOIL MICROBIOLOGY;

EID: 85011072524     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/s12859-017-1478-2     Document Type: Article

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