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Application of Genomics for Understanding the Evolution of Hyperthermophilic and Nonthermophilic Crenarchaeota

Authors: E F, Delong; C, Schleper; R, Feldman; R V, Swanson;

Application of Genomics for Understanding the Evolution of Hyperthermophilic and Nonthermophilic Crenarchaeota

Abstract

Analysis of small subunit rRNAs retrieved from mixed microbial populations has provided a framework for understanding global microbial diversity (1). These molecular phylogenetic analyses have revealed the presence of previously undetected species and lineages in a wide variety of microbial habitats, and placed newly discovered microbial groups on a universal phylogenetic map. These studies also show that some microbial groups, undetected by traditional cultivation approaches, are major components of natural microbial communities. Whole genome sequencing, developed over the past several years, has been so successful that more than 40 prokaryotic genome projects have either been completed or are under way. New genome technologies also offer novel avenues for characterization of uncultivated prokaryotes. Since the main requirement for such an approach is the availability of high-quality genomic DNA (readily isolated from environmental samples), large genomic fragments of uncultivated organisms from mixed populations can, in theory, be isolated and characterized using developing genomic techniques. Application of “environmental genomits” could provide access to gene organization, evolution, and physiological potential of novel uncultivated microorganisms. The archived genomes of uncultivated microbial types also become reagents, which could be used for ex-

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Keywords

Hot Temperature, Sequence Homology, Amino Acid, Crenarchaeota, RNA, Archaeal, Biological Evolution, Porifera, Cold Temperature, Genome, Archaeal, Environmental Microbiology, Animals, Amino Acid Sequence, Symbiosis, Gene Library

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Top 10%
Average
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