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• W1567697408 abstract "The full power of functional genomics analyses comes from studying genomes of organisms that are known to be relevant to a system, as this permits a connection between metabolic networks within and across organisms within the systems these individuals inhabit. A genome is most effectively studied in an ecological and an evolutionary context, that is, with a view towards the relationships of the individual with other individuals within species and guilds that comprise a community and that mediate community function. We use examples from our own long-term studies of microbial mat communities found between ∼50°C and ∼72°C in alkaline siliceous hot springs of Yellowstone National Park, which are constructed by cyanobacteria (Synechococcus spp.), filamentous (Chloroflexus spp., Roseiflexus spp.) and other newly discovered anoxygenic phototrophic bacteria (Candidatus Chloracidobacterium thermophilum, Chlorobi), to illustrate that (i) isolates from systems are often numerically, genetically, and physiologically unrepresentative of the ecological diversity of predominant species, (ii) seemingly small genetic differences can be extremely important when attempting to infer system function from functions of an isolate, (iii) individuals group into ecologically distinct species populations that may or may not be typified by the characteristics of an individual and its genome, and (iv) co-evolution may be important for understanding metabolic networks among individuals of different species. Metagenomics, metatranscriptomics, metaproteomics and metabolomic/stable isotope technologies will soon enable global studies of the metabolic networking from the individual to the community level of biocomplexity. To interpret the results, we will need to understand the principles of networking at all biological levels and we will be better off if our knowledge of networking within individuals is based on the study of isolates relevant to ecological systems." @default.
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• W1567697408 date "2011-08-29" @default.
• W1567697408 modified "2023-10-10" @default.
• W1567697408 title "Functional Genomics in an Ecological and Evolutionary Context: Maximizing the Value of Genomes in Systems Biology" @default.
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• W1567697408 doi "https://doi.org/10.1007/978-94-007-1533-2_1" @default.
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