title: New approaches to analyzing microbial biodiversity data.
abstract: Modern molecular techniques have revealed an extraordinary diversity of microorganisms, most of which are as yet uncharacterized. This poses a major challenge to microbial ecologists: how can one compare the microbial diversity of different environments when the vast majority of microbial taxa are usually unknown? Three statistical approaches developed by ecologists and evolutionary biologists--parametric estimation, nonparametric estimation and community phylogenetics--are proving to be promising tools to meet this challenge. The combination of these tools with molecular biology techniques allow the rigorous estimation and comparison of microbial diversity in different environments.
authors.affiliation: Department of Biological Sciences, Stanford University, Stanford, CA 94305-5020, USA. bohannon@stanford.edu
authors.forename: Brendan J M
authors.initials: BJ
authors.lastname: Bohannan
authors.forename: Jennifer
authors.initials: J
authors.lastname: Hughes
mesh_terms: D001419:Bacteria / Q000145:classification*; D005075:Biological Evolution; D004463:Ecology; D017753:Ecosystem; D008829:Microbiology / Q000639:trends*