Genetic differences between populations of diamondback moth, Plutella xylostella from different geographic regions in India inferred from mitochondrial COI gene sequence
التفاصيل البيبلوغرافية
العنوان:
Genetic differences between populations of diamondback moth, Plutella xylostella from different geographic regions in India inferred from mitochondrial COI gene sequence
Background Plutella xylostella (L.), is one of the most widely distributed and destructive pests of cruciferous crops. The pest has developed resistance to most commonly used insecticides and was reported as the first species to develop resistance to some toxins of Bacillus thuringiensis. Therefore, the pattern and magnitude of genetic variation was studied in P. xylostella larval and adult populations from seven geographical locations in India.Methods and result Direct sequencing of mitochondrial DNA COI gene region was employed to find the genetic variation in Plutella xylostella population from different geographical locations in India. The comparisons of evolutionary divergence between sequences among P. xylostella divergence ranged from 0.002 to 0.0015. The base composition analysis for the COI sequence divulged that both highest T (40.23%) and lowest G (14.08%) contents were in the Delhi Larva population of P. xylostella. The results for Tajima test evidenced that the nucleotide diversity in P. xylostella was very low (π= 0.00332). The P. xylostella populations in the present study from India is mixed over Korea, China, Canada and India and showed multiple clusters. Observations from the present results from the analysis of mtCOI sequences of P. xylostella point to the genetic variation among the Indian population. Conclusions The P. xylostella populations in the present study from India is mixed over Korea, China, Canada and India and showed multiple clusters. The analysis of mtCOI sequences of P. xylostella pointed to the genetic variation among the Indian population which may become the subspecies and resistance insecticides. Hence, further studies need to be done to determine its sustainable management.
