AFLP fingerprinting as a tool to study the genetic diversity of Rhizobium galegae isolated from Galega orientalis and Galega officinalis

AFLP fingerprints of Rhizobium galegae strains that infect Galega orientalis and Galega officinalis obtained from different geographical sources, and of taxonomically diverse rhizobia representing the recognized species, were generated. Comparisons of the fingerprints from fluorescent labeled AFLP p...

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Bibliographic Details
Published in:Journal of biotechnology 2001-10, Vol.91 (2), p.169-180
Main Authors: Terefework, Zewdu, Kaijalainen, Seppo, Lindström, Kristina
Format: Article
Language:English
Subjects:
AFLP
Bionumerics
Capillary electrophoresis
DNA Fingerprinting - instrumentation
DNA Fingerprinting - methods
Fingerprinting
Galega - microbiology
Galega officinalis
Galega orientalis
Genetic Variation
Phylogeny
Rhizobia
Rhizobiaceae - genetics
Rhizobiaceae - isolation & purification
Rhizobium galegae
Symbiosis
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Summary:AFLP fingerprints of Rhizobium galegae strains that infect Galega orientalis and Galega officinalis obtained from different geographical sources, and of taxonomically diverse rhizobia representing the recognized species, were generated. Comparisons of the fingerprints from fluorescent labeled AFLP products using capillary electrophoresis on ABI prism 310, slab gel electrophoresis on ABI prism 377 genetic analyzers and silver staining were in good agreement. All methods delineated the G. orientalis strains from G. officinalis strains, the G. orientalis strains formed a tight cluster whereas the G. officinalis strains seem to show a greater level of genetic diversity. Comparison of fluorescent AFLP with other detection methods revealed that fluorescent labeling is more sensitive and practical, in addition, the deleterious effect of radioactivity associated with 32P-labeling, the delicate process of blotting polyacrylamide gels or the tedious procedure of silver staining can be avoided. The automated system facilitated a large number of runs at a time and the subsequent analysis of the data by generating exportable raw data. The congruency of the experiments was analyzed using the Bionumerics software.
ISSN:0168-1656
1873-4863
DOI:10.1016/S0168-1656(01)00338-8