Genetic variability of Orobanche aegyptiaca infesting tobacco in Iran by Bayesian analysis

Abstract

Broomrapes (Orobanche L.) are holoparasitic plants, parasitizing roots of a wide range of host plants. In this study, genetic polymorphism among 44 Orobanche aegyptiaca Pers. individuals collected from different regions of northwest Iran was investigated using inter-simple sequence repeat (ISSR) markers. Two hundred-sixty one discernible bands were amplified using 20 ISSR primers which 245 (94%) was polymorphic, indicating considerable genetic variation among the examined individuals. The number of polymorphic bands per primer ranged from 4 to 17, averaging 12.25. UPGMA clustering using Jaccard's similarity coefficients revealed six main groups. Genetic similarity coefficients varied from 0.71 (between individuals 23 and 27) to 0.34 (between 13 and 30). A model-based Bayesian approach subdivided 38 out of 44 broomrape genotypes into 2 genetic groups and the remaining ones were categorized as mixed genotypes based on Q values. According to an analysis of molecular variance, 99% of the total variation was partitioned within genetic groups. The results demonstrated the potential usefulness of ISSR markers for determination of genetic variation in O. aegyptiaca. Understanding the variability in broomrape is important when attempting to develop resistant host crops against this parasite.

Detection of genetic variations in orobanche crenata using inter simple sequence repeat (ISSR) markers

“…3). Abedi et al (2014) found similar results by using ISSR markers for investigating genetic diversity among O. aegyptiaca in Iran. The fact that only five clusters emerged from the 30 samples of Orobanche (5%) indicates that the virulence/ aggressiveness of the parasite may not be that huge compared to its wide genetic diversity investigated by ISSR.…”

“…ISSR markers are suitable for investigating genetic diversity among O. aegyptiaca genetic groups and able to discriminate between individuals (Abedi et al 2014). These markers have several benefits over other techniques: first, it is known to be able to discriminate between closely related genotypes (Fang andRoose 1997 andHodkinson et al 2002) and second, it can detect polymorphisms without any previous knowledge of the crop's DNA sequence.…”