Comparative Genome Analysis and Development of Database System
for Apple Mosaic Virus; RNA1, RNA2, RNA3
and
Apple Chlorotic Leaf Spot Virus strain P863

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Apple Mosaic Virus
Apple Chlorotic leaf Spot Virus
Genomes & Genes
Proteins & Domains
Identified ORFs
Results & Discussion
Acknowledgement
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Project Developed by;
Pankaj Kr. Agarwal
B.E. (Biotechnology)
Dept. of Biotechnology
SEC Sikar, Rajasthan.
INDIA

email:
pankajbt@gmail.com

Conclusion

India is established as an agricultural country and the 65% economy is based on the agriculture production. So, many government and private research labs are working to find the new techniques to increase the production and quality of crops and fruits plants. The main problem is that all the labs working on the identification for the new techniques for the better production but there are only few labs which are working for curing plants disease. For this, it is necessary to mark out the infectious organism at molecular level.  It is a well know fact that wet-lab analysis are essential for this kind of research. Here, we try to apply the computational research or bioinformatics approaches to analysis the four viruses strains named Apple Mosaic virus; RNA1, RNA2, RNA3 and Apple Chlorotic Leaf Spot Virus P863, which infects the Apple plant leafs. Due to this infection the production of apples may suffer. The aim of this study is to provide the molecular level information about Apple Mosaic virus; RNA1, RNA2, RNA3 and Apple Chlorotic Leaf Spot Virus P863. We identified ApMV RNA 1 codes 20 ORFs, ApMV RNA 2 codes 9 ORFs, ApMV RNA 3 codes 14 ORFs and ACLSV P863 codes 33 ORFs. Some of them codes for the proteins, but we identify that both ApMV RNA 3 and ACLSV P863 codes for the movement and coat proteins. Then, we focus only on these two proteins to identify the similarity of these two at sequence and structural level. As we thought that being the same proteins they would be similar at functional and structure level, after analysis we found them differ to each other. We were also not capable to identify the exact 3D structures of these proteins by the computational structure modeling techniques but we tried to draw that. So, the final result is that, to analyze the mode of infection and develop an efficient drug against these viral infections we should treat them individually. We hope this information helps agriculture research to develop the new insights for the further research on the genes and protein involved in apple leaf diseases caused by Apple Mosaic Virus and Apple Chlorotic Leaf Spot Virus.

 


 
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