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IJSTR >> Volume 9 - Issue 3, March 2020 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Evaluation Of Mid-Gut Bacteria Present In The Larva Of Rice Moth, Corcyra Cephalonica (Stain.) (Galleriidae: Lepidoptera) Fed On Different Grains Using 16S rDNA Sequence Based Culture Dependent Technique

[Full Text]

 

AUTHOR(S)

Arumugam Dhanalakshmi, Ganesan Sasireka, Palaniappan Suresh, Panagal Mani, Palanisamy Chella Perumal, Kalimuthu Ayyakalai Marikannu Karthikeyan*

 

KEYWORDS

Grains, C. cephalonica, mid-gut bacteria, 16S rDNA sequencing.

 

ABSTRACT

Corcyra cephalonica (Stainton) (Lepidoptera: Pyralidae) is a factitious host extensively used for rearing egg parasitoids. The present study attempt to investigate mid-gut bacteria present in larva of Corcyra cephalonica (C. cephalonica). The mid-gut bacteria were collected from the C. cephalonica fed on eight different grains were identified and characterized by 16S rDNA sequence based culture dependent method. The results revealed that, 16 bacterial species where presented in mid-gut of C. cephalonica larva which are belonging to 11 bacterial genera included in three phyla namely Firmicutes, Proteobacteria and Actinobacteria. Among the three phyla Firmicutes was the most dominant phylum with a record of 7 bacterial species, followed by Proteobacteria with 5 species and Actinobacteria with 4 species. Phylum Firmicutes, was dominated by members of Class Bacilli. The genus Staphylococcus was the largest genus represented by 4 species namely Staphylococcus sp., S. saprophyticus, Staphylococcus pasteuri and Staphylococcus warneri and also the most prevalent genus which was recorded in the mid-gut of C. cephalonica fed on 4 grains. No single bacterium was found in all the mid-gut samples. This record of varied mid-gut bacterial composition could be attributed to the feeding behaviour/pattern of the larvae and further intensive large scale research like extensive sampling and deep-sequencing are needed to ascertain it.

 

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