New approaches to analyzing microbial biodiversity data

by: Brendan JM Bohannan, Jennifer Hughes

Current Opinion in Microbiology, Vol. 6, No. 3. (June 2003), pp. 282-287.

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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.

@article{citeulike:341115, 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.}, author = {Bohannan, Brendan J. M. and Hughes, Jennifer }, citeulike-article-id = {341115}, doi = {http://dx.doi.org/10.1016/S1369-5274(03)00055-9}, journal = {Current Opinion in Microbiology}, keywords = {stats}, month = {June}, number = {3}, pages = {282--287}, posted-at = {2008-05-11 22:24:10}, priority = {2}, title = {New approaches to analyzing microbial biodiversity data}, url = {http://dx.doi.org/10.1016/S1369-5274(03)00055-9}, volume = {6}, year = {2003} }

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TY - JOUR ID - citeulike:341115 L3 - citeulike-article-id:341115 TI - New approaches to analyzing microbial biodiversity data JF - Current Opinion in Microbiology VL - 6 IS - 3 SP - 282 EP - 287 N2 - 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. KW - stats AU - Bohannan, Brendan AU - Hughes, Jennifer PY - 2003/06// UR - http://dx.doi.org/10.1016/S1369-5274(03)00055-9 ER -

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