Comparative analysis of genetic variation among Xanthomonas axonopodis pv manihotis isolated from the western states of Nigeria using RAPD and AFLP

• Published in: Indian journal of microbiology Vol. 50; no. 2; pp. 132 - 138
• Main Authors: Ogunjobi, A. A., Fagade, O. E., Dixon, A. G. O.
• Format: Journal Article
• Language: English
• Published: India Springer-Verlag 01.06.2010; Springer Nature B.V
• Subjects: Bacteria; Biomedical and Life Sciences; Cassava; Comparative analysis; Genetic diversity; Life Sciences; Medical Microbiology; Microbiology; Original Article; Pathogens; Polymorphism; Virulence; Nigeria; Africa; Latin America; Genetic diversity; Dedrogram analysis and PCA; RAPD; DNA; AFLP
• ISSN: 0046-8991; 0973-7715
• DOI: 10.1007/s12088-010-0037-6

Xanthomonas axonopodis pv manihotis is the causal agent of cassava bacterial blight (CBB) worldwide. CBB disease is a major constraint to cassava cultivation, and losses can be extremely severe in regions where highly susceptible cultivars are grown. To develop an efficient disease management policy, the genetic diversity of the pathogens population must be known. There is dearth of information on the genetic diversity of X. axonopodis pv manihotis population in Nigeria. We used RAPD (random amplified polymorphic DNA) and AFLP (amplified fragment length polymorphism), a PCR-based technique, to characterize the X. axonopodis pv manihotis isolates from the western States of Nigeria. Thirteen strains Xam and 2 reference strains were tested with eight primers combination of AFLP and 4 RAPD primers. RAPD amplified DNA fragment data showed four major clusters at 80 % similarity coefficient level and two strains were not clustered by this analysis. Strains Kwa76A and Ond48A were also separated in the principal component analysis of the same data. Numerical analysis differentiated the AFLP patterns into four distinct clusters and grouped two strains separately at 66 % similarity. PCA assembly grouped the bacterial strains into 4 and one of the strains was singled out from the others. The two DNA analyses techniques seem to be complimentary to one another and informative on the genomic structure of Xam population in Western Nigeria. The genetic analysis presented here contributes to understanding of the Xam population structure in Western Nigeria.