New approaches to analyzing microbial biodiversity data

被引:100
作者
Bohannan, BJM [1 ]
Hughes, J
机构
[1] Stanford Univ, Dept Biol Sci, Stanford, CA 94305 USA
[2] Brown Univ, Dept Ecol & Evolutionary Biol, Providence, RI 02912 USA
基金
美国国家科学基金会;
关键词
D O I
10.1016/S1369-5274(03)00055-9
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
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.
引用
收藏
页码:282 / 287
页数:6
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