Summary
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.
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Notes
- 1.
A guild is a hypothetical construct ecologists use to combine species that do the same kind of thing, but not in exactly the same way (e.g., sun- and shade-adapted plant species both do oxygenic photosynthesis).
- 2.
Also called the selective enrichment culture method.
- 3.
While there is debate about what to call the major sublineages of Domains and we don’t completely agree on this, the first author prefers the use of Kingdom, which is consistent with the tradition of calling Eukaryal lineages containing animals, plants and fungi Kingdoms.
Abbreviations
- SSU rRNA:
-
small subunit ribosomal RNA
- A/B-type Synechococcus :
-
predominant unicellular cyanobacterial genotypes in 50–72°C alkaline siliceous hot spring microbial mats
- FAP:
-
filamentous anoxygenic phototroph
- cDNA:
-
complementary DNA
- ITS:
-
internal transcribed spacer (separating 16S rRNA and 23S rRNA genes)
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Acknowledgments
This research was supported by the National Science Foundation (currently from the Frontiers in Integrative Biology Research Program, EF-0328698 and the IGERT Program in Geobiological Systems, DGE 0654336), the National Aeronautics and Space Administration (most recently from the Exobiology Program, NAG5-8824, -8807 and NX09AM87G) and the U.S. Department of Energy (BER), as part of BER’s Genomic Science Program (GSP). This contribution originates from the GSP Foundational Scientific Focus Area (FSFA) at the Pacific Northwest National Laboratory (PNNL), contract no. 112443. We appreciate the support of the National Park Service personnel at Yellowstone National Park. DMW thanks Peter Gogarten (University of Connecticut) for helping him to understand that the value of a genome from an isolate depends on populations genetics (i.e., the relationship of the organism whose genome is under investigation to other related individuals (and their genomes) in a system). This seems obvious today, but was not known by DMW at the time because his traditional microbiology training did not acquaint him with principles of ecology and evolution. D. A. B. additionally and gratefully acknowledges support from the National Science Foundation (MCB-0523100), Dept. of Energy (DE-FG02-94ER20137), and the Joint Genome Institute for support in obtaining genomic and metatranscriptomic sequences mentioned herein.
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Ward, D.M., Klatt, C.G., Wood, J., Cohan, F.M., Bryant, D.A. (2012). Functional Genomics in an Ecological and Evolutionary Context: Maximizing the Value of Genomes in Systems Biology. In: Burnap, R., Vermaas, W. (eds) Functional Genomics and Evolution of Photosynthetic Systems. Advances in Photosynthesis and Respiration, vol 33. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-1533-2_1
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