The rise in the availability of bacterial genomes defines a need for synthesis: abstracting from individual taxa, to see the larger patterns of bacterial lifestyles across microbial systems. In community ecology , a URLanising theory is the niche concept. A niche is a set of capabilities that enables a population's persistence , and defines its impact on the environment. The set of possible niches is the niche space, a conceptual space delineating the ways in which persistence in an ecosystem is possible. Understanding the structure of the niche space is perhaps the central question in ecology. Here we use data analysis to map the space of metabolic networks describing thousands of bacterial genera. The results reveal a  niche space with continuous branching geometry, whose branches correspond to adaptations to habitats , hosts, and unique resource use strategies. This provides a new perspective on the functional capabilities of known bacteria and lays an ecological foundation for the study of microbiomes . The variables defined here constitute a new way to classify and systematise bacterial populations in ecological terms . We regard this as an important step in the quest to bring methods and results from ecology to bear on microbial communities .
The rise in the availability of bacterial genomes defines a need for synthesis: abstracting from individual taxa, to see larger patterns of bacterial lifestyles across systems. A key concept for such synthesis in ecology is the niche , the set of capabilities that enables a population's persistence and defines its impact on the environment. The set of possible niches forms the niche space, a conceptual space delineating ways in which persistence in a system is possible. Here we use manifold learning to map the space of metabolic networks representing thousands of bacterial genera. The results reveal a metabolic niche space with a complex branching geometry, whose branches constitute major strategies spanning life in different habitats and hosts. We further demonstrate that communities from similar ecosystem types map to characteristic regions of this new functional coordinate system, permitting ecological descriptions of microbiomes in terms of large scale metabolic roles that may be filled .
D
the
R
microbial systems. In community ecology , a URLanising theory
systems. A key concept for such synthesis in ecology
R
concept. A niche is a
, the
D
,
R
is
forms
D
the
R
an ecosystem
a system
D
Understanding the structure of the niche space is perhaps the central question in ecology.
R
data analysis
manifold learning
R
describing
representing
A
metabolic
R
continuous
a complex
R
correspond to adaptations to habitats , hosts, and unique resource use strategies. This provides a new perspective on the functional capabilities of known bacteria and lays an ecological foundation for the study of microbiomes . The variables defined here constitute a new way to classify and systematise bacterial populations in ecological terms . We regard this as an important step in the quest to bring methods and results from ecology to bear on microbial communities
constitute major strategies spanning life in different habitats and hosts. We further demonstrate that communities from similar ecosystem types map to characteristic regions of this new functional coordinate system, permitting ecological descriptions of microbiomes in terms of large scale metabolic roles that may be filled