Literature DB >> 1477784

Characterisation of Rhizobium isolates by amplification of DNA polymorphisms using random primers.

S P Harrison1, L R Mytton, L Skøt, M Dye, A Cresswell.   

Abstract

The use of single random primers, selected in the absence of target sequence information, has been shown to be effective in producing DNA amplifications that provide fingerprints which are unique to individual organisms. DNA amplification by random priming was applied to the DNA from isolates of Rhizobium leguminosarum biovar trifolii. Amplification products were produced using a number of primers, and the resulting fingerprints allowed strain differentiation. However, the effectiveness of primers was dependent upon length and GC content. It was also possible to amplify DNA directly from cells in culture and in nodule tissue. Lysis of these cells was achieved simply through heat applied in the initial DNA denaturation stage of the thermal reaction. The ability to produce varied amplification patterns from different Rhizobium isolates, especially directly from nodules, gives this method potential for use in examining genetic structures and relationships in Rhizobium populations.

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Year:  1992        PMID: 1477784     DOI: 10.1139/m92-166

Source DB:  PubMed          Journal:  Can J Microbiol        ISSN: 0008-4166            Impact factor:   2.419


  10 in total

1.  Natural populations of chickpea rhizobia evaluated by antibiotic resistance profiles and molecular methods.

Authors:  Ana Alexandre; Marta Laranjo; Solange Oliveira
Journal:  Microb Ecol       Date:  2006-01-03       Impact factor: 4.552

2.  Rapid Identification of Rhizobia by Restriction Fragment Length Polymorphism Analysis of PCR-Amplified 16S rRNA Genes.

Authors:  G Laguerre; M R Allard; F Revoy; N Amarger
Journal:  Appl Environ Microbiol       Date:  1994-01       Impact factor: 4.792

3.  Application of DNA amplification fingerprinting (DAF) to mixed culture bioreactors.

Authors:  A Breen; A F Rope; D Taylor; J C Loper; P R Sferra
Journal:  J Ind Microbiol       Date:  1995-01

4.  Typing of rhizobia by PCR DNA fingerprinting and PCR-restriction fragment length polymorphism analysis of chromosomal and symbiotic gene regions: application to Rhizobium leguminosarum and its different biovars.

Authors:  G Laguerre; P Mavingui; M R Allard; M P Charnay; P Louvrier; S I Mazurier; L Rigottier-Gois; N Amarger
Journal:  Appl Environ Microbiol       Date:  1996-06       Impact factor: 4.792

Review 5.  The changing paradigm of rhizobial taxonomy and its systematic growth upto postgenomic technologies.

Authors:  Jina Rajkumari; Prashant Katiyar; Shrivardhan Dheeman; Piyush Pandey; Dinesh Kumar Maheshwari
Journal:  World J Microbiol Biotechnol       Date:  2022-08-26       Impact factor: 4.253

6.  A mutant of Azospirillum brasilense Sp7 impaired in flocculation with a modified colonization pattern and superior nitrogen fixation in association with wheat.

Authors:  S Katupitiya; J Millet; M Vesk; L Viccars; A Zeman; Z Lidong; C Elmerich; I R Kennedy
Journal:  Appl Environ Microbiol       Date:  1995-05       Impact factor: 4.792

7.  Heteroduplex molecules formed between allelic sequences cause nonparental RAPD bands.

Authors:  M A Ayliffe; G J Lawrence; J G Ellis; A J Pryor
Journal:  Nucleic Acids Res       Date:  1994-05-11       Impact factor: 16.971

8.  Characterization of Paracoccidioides brasiliensis isolates by random amplified polymorphic DNA analysis.

Authors:  C M Soares; E E Madlun; S P da Silva; M Pereira; M S Felipe
Journal:  J Clin Microbiol       Date:  1995-02       Impact factor: 5.948

9.  Genetic and phenetic analyses of Bradyrhizobium strains nodulating peanut (Arachis hypogaea L.) roots.

Authors:  D Van Rossum; F P Schuurmans; M Gillis; A Muyotcha; H W Van Verseveld; A H Stouthamer; F C Boogerd
Journal:  Appl Environ Microbiol       Date:  1995-04       Impact factor: 4.792

10.  Insight into the genomic diversity and relationship of Astragalus glycyphyllos symbionts by RAPD, ERIC-PCR, and AFLP fingerprinting.

Authors:  Sebastian Gnat; Wanda Małek; Ewa Oleńska; Aleksandra Trościańczyk; Sylwia Wdowiak-Wróbel; Michał Kalita; Magdalena Wójcik
Journal:  J Appl Genet       Date:  2015-05-01       Impact factor: 3.240

  10 in total

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