4.8 Article

'Candidatus Competibacter'-lineage genomes retrieved from metagenomes reveal functional metabolic diversity

期刊

ISME JOURNAL
卷 8, 期 3, 页码 613-624

出版社

NATURE PUBLISHING GROUP
DOI: 10.1038/ismej.2013.162

关键词

Competibacter; EBPR; GAO; metagenomics; metabolic model; PAO

资金

  1. Aalborg University
  2. Danish Council for Strategic Research

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The glycogen-accumulating organism (GAO) 'Candidatus Competibacter' (Competibacter) uses aerobically stored glycogen to enable anaerobic carbon uptake, which is subsequently stored as polyhydroxyalkanoates (PHAs). This biphasic metabolism is key for the Competibacter to survive under the cyclic anaerobic-'feast': aerobic-'famine' regime of enhanced biological phosphorus removal (EBPR) wastewater treatment systems. As they do not contribute to phosphorus (P) removal, but compete for resources with the polyphosphate-accumulating organisms (PAO), thought responsible for P removal, their proliferation theoretically reduces the EBPR capacity. In this study, two complete genomes from Competibacter were obtained from laboratory-scale enrichment reactors through metagenomics. Phylogenetic analysis identified the two genomes, 'Candidatus Competibacter denitrificans' and 'Candidatus Contendobacter odensis', as being affiliated with Competibacter-lineage subgroups 1 and 5, respectively. Both have genes for glycogen and PHA cycling and for the metabolism of volatile fatty acids. Marked differences were found in their potential for the Embden-Meyerhof-Parnas and Entner-Doudoroff glycolytic pathways, as well as for denitrification, nitrogen fixation, fermentation, trehalose synthesis and utilisation of glucose and lactate. Genetic comparison of P metabolism pathways with sequenced PAOs revealed the absence of the Pit phosphate transporter in the Competibacter-lineage genomes-identifying a key metabolic difference with the PAO physiology. These genomes are the first from any GAO organism and provide new insights into the complex interaction and niche competition between PAOs and GAOs in EBPR systems.

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