Genetic diversity of the bacterial wilt pathogen Ralstonia solanacearum using a RAPD marker

• Published in: Comptes rendus. Biologies Vol. 338; no. 11; pp. 757 - 767
• Main Authors: Nishat, Sayeda, Hamim, Islam, Ibrahim Khalil, M., Ali, Md. Ayub, Hossain, Muhammed Ali, Bahadur Meah, M., Islam, Md. Rashidul
• Format: Journal Article
• Language: English
• Published: France Elsevier SAS 01.11.2015
• Subjects: Bacterial wilt; Cluster Analysis; DNA Primers - genetics; DNA, Bacterial - genetics; Genetic diversity; Genetic Variation; Plant Diseases - microbiology; R. solanacearum; Ralstonia solanacearum - genetics; Ralstonia solanacearum - isolation & purification; Ralstonia solanacearum - pathogenicity; Random Amplified Polymorphic DNA Technique; RAPD; Reproducibility of Results; Solanum - microbiology; Solanum melongena - microbiology; Genetic diversity; Bacterial wilt; RAPD; R. solanacearum
• ISSN: 1631-0691; 1768-3238; 1768-3238
• DOI: 10.1016/j.crvi.2015.06.009

Bacterial wilt caused by Ralstonia solanacearum is a destructive disease of many economically important crop species. A significant variation in wilt incidence and severity in eggplant and potato was observed among the growing areas surveyed. R. solanacearum isolates obtained both from eggplant and potato belong to biovar III, while isolates from eggplant belong to race 1 and isolates obtained from potato belong to race 3. Random amplified polymorphic DNA (RAPD) technique was used as a tool for assessing genetic variation and relationship among seven isolate groups of R. solanacearum viz., RsB-1, RsB-2, RsB-3, RsP-1, RsP-2, RsP-3 and RsP-4, consisting in a total of 28 isolates. Out of the RAPD markers used, amplification with four decamer primers produced 70 bands with sizes ranging from 100 to 1400bp. Out of 70 bands, 68 bands (97.06%) were polymorphic and two bands (2.94%) were monomorphic amongst the seven R. solanacearum isolates group. The Unweighted Pair Group Method of Arithmetic Means (UPGMA) dendrogram constructed from Nei's genetic distance produced two main clusters of the seven isolates of R. solanacearum. The isolates RsB-1, RsB-2, RsB-3 and R-4 grouped in cluster І, while RsP-2, RsP-3 and RsP-4 grouped in cluster ІІ. The highest intra-variety similarity index (Si) was found in RsB-1 isolate (86.35%) and the lowest one in RsP-2 (56.59%). The results indicated that relatively higher and lower levels of genetic variation were found in RsP-3 and RsB-3, respectively. The coefficient of gene differentiation (Gst) was 0.5487, reflecting the existence of a high level of genetic variations among seven isolates of R. solanacearum. Comparatively higher genetic distance (0.4293) and lower genetic identity (0.6510) were observed between RsB-2 and RsP-4 combinations. The lowest genetic distance (0.0357) and highest genetic identity (0.9650) were found in RsB-1 vs. RsB-2 pair. Thus, RAPD offers a potentially simple, rapid and reliable method to evaluate genetic diversity analysis in R. solanacearum.