Volume : VII, Issue : VIII, August - 2018

Identification of beneficial endophytes against black rot disease in cauliflower by using FAME analysis

Amrita Kanchan, Dr Dinesh Singh, Dr Archana Tiwari

Abstract :

Black rot is a destructive disease of cauliflower through out the world caused by Xanthomonas campestris pv. campestris (Pammel) Dowson. The black rot pathogen is seedborne and spreads in the vascular system of the leaf and stem. In the present study Endophytic microorganisms that colonize the internal tissues of plants enhance agricultural production through plant growth promoting mechanisms. Considering the enormous potential of the endophytic bacteria, a research programme was framed to study the role of these bacteria in plant growth promotion of crop plants belonging to vegetables. The endophytic bacteria were isolated from different parts of cauliflower plants. Forty one out of the eighty eight bacterial isolates selected were Gram positive belonging to Bacillus sp. while forty seven were Gram negative belonging to Citrobacter, Acinetobacter, Pseudomonas. More than 50% of all the endophytic isolates produced P solubilization, Indole acetic acid, Acetelene reduction assay activity, Ammonia and HCN in the culture oth. After screening of all positive samples we got two bacteria colony appear highly sensitive against black rot disease with sample code PSBnR5 and PSBkS10. So we identify these samples through high end molecular technology i.e Fatty acid methyl esterase (FAME) analysis technology. By using FAME analysis was used and isolate PSBnR5 had similarity index 0.54 which confirmed as Bacillus subtilis and isolate PSBkS10 were belonged toPseudomonas fluorescens with similarity index 0.75.

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Article: Download PDF    DOI : https://www.doi.org/10.36106/gjra  

Cite This Article:

Amrita Kanchan, Dr Dinesh Singh, Dr Archana Tiwari, Identification of beneficial endophytes against black rot disease in cauliflower by using FAME analysis, GLOBAL JOURNAL FOR RESEARCH ANALYSIS : Volume-7 | Issue-8 | August-2018


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