Publication | Closed Access
Discovery and Classification of Ecological Diversity in the Bacterial World: The Role of DNA Sequence Data
384
Citations
82
References
1997
Year
Ecological GeneticsComparative GenomicsDna Sequence DataGenomicsDna BarcodingPhylogeneticsMolecular EcologyGene Sequence SimilarityMicrobial EcologyEnvironmental MicrobiologyEvolutionary MicrobiologyEcological DiversityBacterial WorldMicrobial DiversitySequence Similarity ClusterSequence SimilarityBiologyNatural SciencesEvolutionary BiologyMicrobiologyMedicine
Gene sequence similarity groups organisms into discrete clusters, and evolutionary theory predicts each bacterial cluster represents a distinct ecological population. Protein‑coding gene sequence surveys and similarity clustering are proposed as primary tools for identifying and delineating new bacterial ecological populations. Empirical surveys confirm that protein‑coding gene sequence clusters align with ecological bacterial populations.
All living organisms fall into discrete clusters of closely related individuals on the basis of gene sequence similarity. Evolutionary genetic theory predicts that in the bacterial world, each sequence similarity cluster should correspond to an ecologically distinct population. Indeed, surveys of sequence diversity in protein-coding genes show that sequence clusters correspond to ecological populations. Future population surveys of protein-coding gene sequences can be expected to disclose many previously unknown ecological populations of bacteria. Sequence similarity clustering in protein-coding genes is recommended as a primary criterion for demarcating taxa.
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