Bioefficacy and molecular characterization of Bacillus thuringiensis strain NBAIR BtGa against greater wax moth, Galleria mellonella L.

ABSTRACT

Galleria mellonella, the greater wax moth has always been an important pest against honeybees and has remained a nightmare for beekeeping farmers. Management of G. mellonella in live honeybee colonies is very difficult because most current management practices can destroy whole honeybee colonies. In the present study, experiments were conducted to isolate and characterize Bacillus thuringiensis from infected greater wax moth cadavers and to evaluate their biocontrol ability against G. mellonella. The bioefficacy of these isolates has been evaluated against greater wax moth along with the standard strain HD-1. Among all the strains tested, NBAIR BtGa demonstrated higher efficacy compared to other strains, with an LC50 value of 125.17 µg/ml, whereas HD-1 exhibited a significantly higher LC50 value of 946.61 µg/ml. Considering the economic importance of NBAIR BtGa we performed whole genome sequencing of this strain resulting in the identification of a genome size of 5.96 Mb consisting of 6888 protein-coding genes. Gene ontology analysis categorized these genes into three groups based on their roles, i.e., biological functions (2169 genes), cellular components (1900 genes), and molecular functions (2774 genes). Through insecticidal toxicity-related genes (ITRG) profiling of our strain across the genome by Bt toxin scanner and cry processor resulted in the identification of several Cry proteins namely Cry1Ab11, Cry1Ia44, Cry1Aa2, Cry2Af1, Cry1Da2, Cry1Eb1, Cry1Ab5, Cry1Cb2, Cry1Ac2. Besides Cry proteins, other ITRG genes, viz. Vip3Bb2, Zwittermicin A resistance proteins, Chitinase C, Mpp46Ab1, immune inhibitor A, Bmp1, Vpb4Ca1, and Spp1Aa1 were also reported, which show toxicity against lepidopteran pests. The studies were also conducted to test the biosafety of Bt toxins against honeybee larvae and adults, which showed strain NBAIR BtGa was more than 99% safer for honeybee larvae as well as adults. Thus, the data generated ascertains its effectiveness as a biocontrol agent and it can be used further for the development of bio formulation for the management of G. mellonella in honeybee colonies.