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Cultivatable microbial biodiversity: gnawing at the Gordian knot
Author(s) -
Tindall Brian J.,
Brambilla Evelyne,
Steffen Maike,
Neumann Regine,
Pukall Rüdiger,
Kroppenstedt Reiner M.,
Stackebrandt Erko
Publication year - 2000
Publication title -
environmental microbiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.954
H-Index - 188
eISSN - 1462-2920
pISSN - 1462-2912
DOI - 10.1046/j.1462-2920.2000.00108.x
Subject(s) - biology , intraspecific competition , sorting , 16s ribosomal rna , bacteria , ecology , genetics , computer science , programming language
Rapid and inexpensive sorting of bacterial isolates may be achieved using Fourier transform infrared spectroscopy (FT‐IR), a method that has hitherto been applied to identification and classification. The comprehensive characterization of environmental samples requires the isolation of large numbers of isolates using different growth media and growth conditions. In such cases, sorting the isolates is critical before isolates are subjected to more detailed studies. Using FT‐IR, isolates are grown under standardized conditions, and 100 strains can be tested within less than 8 h. Chemotaxonomic and molecular characterization of members of clusters emerging from FT‐IR analysis either at a level of spectral distance values below 20–30 (analysis of region 600–800 cm −1 , average linkage algorithm) or at spectral heterogeneity values below 75 (regions 1200–900, 3000–2798 and 901–698, scaling to first region, Ward's algorithm) reveals great similarities in fatty acids and 16S rDNA sequences. As judged from riboprinting analyses and fatty acid analyses, FT‐IR analysis is able to unravel intraspecific subclustering. The example used in this study of 100 isolates from a mat system, Lake Fryxell, Dry Valleys, Antarctica, selected from a larger number of isolates, picked mainly on the basis of colony pigmentation and form, reveals the utility of the method for identifying the number of putative species quickly. The method described is able to select strains rapidly that represent clusters at the specific and intraspecific level for subsequent characterization.