Identification and application of biocontrol agents against Cotton leaf curl virus disease in Gossypium hirsutum under greenhouse conditions

Autor: Memoona Ramzan, Bushra Tabassum, Idrees Ahmad Nasir, Anwar Khan, Muhammad Tariq, Mudassar Fareed Awan, Naila Shahid, Abdul Qayyum Rao, Muhammad Umar Bhatti, Nida Toufiq, Tayyab Husnain
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Zdroj: Biotechnology & Biotechnological Equipment, Vol 30, Iss 3, Pp 469-478 (2016)
Druh dokumentu: article
ISSN: 1310-2818
1314-3530
13102818
DOI: 10.1080/13102818.2016.1148634
Popis: Biological control is a novel approach in crop protection. Bacteria, such as Bacillus spp. and Pseudomonas spp., are reported for this purpose and some of their products are already commercially available. In this study, the rhizosphere and phyllosphere of healthy cotton plants were used as a source of bacterial isolates with properties of potential biocontrol agents. The isolates were screened for phosphate solubilization activity, indole acetic acid (IAA) production and antifungal activity. Two isolates, S1HL3 and S1HL4, showed phosphate solubilization and IAA production simultaneously, while another two, JS2HR4 and JS3HR2, demonstrated potential to inhibit fungal pathogens. These bacteria were identified as Pseudomonas aeruginosa (S1HL3), Burkholderia sp. (S1HL4) and Bacillus sp. (JS2HR4 and JS3HR2) based on biochemical and molecular characteristics. The isolates were tested against Cotton leaf curl virus (CLCuV) in greenhouse conditions, both as individual bacterial isolates and consortia. Treated plants were healthy as compared to control plants, where up to 74% of the plants were symptomatic for CLCuV infection. Maximum inhibition of CLCuV was observed in the plants treated with a mixture of bacterial isolates: the viral load in the treated plants was only 0.4% vs. up to 74% in controls. This treatment consortium included P. aeruginosa S1HL3, Burkholderia sp. S1HL4 and Bacillus spp. isolates, JS2HR4 and JS3HR2. The principal-component biplot showed a highly significant correlation between the viral load percentage and the disease incidence.
Databáze: Directory of Open Access Journals
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