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Analysis Of Muscadine Berry ITRAQ Data Using Peaks Quantification Algorithm | 3748
ISSN: 0974-276X

Journal of Proteomics & Bioinformatics
Open Access

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Analysis of muscadine berry iTRAQ data using peaks quantification algorithm

2nd International Conference on Proteomics & Bioinformatics

Ramesh Katam Devaiah Kambiranda and Sheikh M. Basha

Posters: J Proteomics Bioinform

DOI: 10.4172/0974-276X.S1.064

Abstract
Muscadine grapes (Vitis rotundifolia), which are native to southeastern USA, are known to be potential source of anti oxidant compounds. Our goal was to investigate pathways of various polyphenolic compounds synthesized during berry development. The objective of this research is to investigate differentially expressed proteins involved in the biosynthesis of these metabolites. Total proteins were isolated from muscadine berry samples from different developmental stages. Each protein sample was labeled with iTRAQ 8 plex reagent and digested with trypsin. The peptides were then sequenced using the QSTAR XL Mass spectrometer. Data refinement and analysis was performed in Peaks Studio 5.3 de novo sequencing assisted database search for sensitive and accurate peptide identification. Proteome analysis revealed 94 differentially expressed proteins with > 5 fold increase/decrease during berry development. Biological processes and metabolic pathways for these proteins were determined using Blast2GO pathway analysis. The major enzymes like benzyl alcohol o- benzyl transferase involved in volatile production of methyl anthranilate that may be responsible for distinctive flavor of muscadines and tropinone reductase involved in production of tropane alkaloids that are used medicinally as anticholinergic agents were over expressed during berry development. Disease resistant proteins PR10, PR-4, MLP and 14-3-3 like proteins were constitutively expressed during different stages of berry development indicating unique disease resistance ability of muscadine grapes.
Biography
Ramesh Katam has completed his Ph. D from Mississippi State University and carried his postdoctoral studies from Florida A&M University (FAMU). Currently he is Assistant Professor at Department of Biological Sciences at FAMU. He has published more than 20 research papers in peer reviewed journals and serving in editorial board for several journals. He is specialized in functional proteomics and involved in research and teaching proteomics to undergraduate and graduate students.
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