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Functional milk proteome analysis of genetically diverse goats from different agro climatic regions
Mahima Verma1, Mahesh S Dige1, Devika Gautam2
1Genetics and Breeding Division, ICAR-Central Institute for Research on Goats, Makhdoom, Farah, Mathura, Uttar Pradesh 281122, India.
Abstract:
Goat milk, a choice of substitution to mother's milk for its composition, fulfils nutritional requirement of infants, pregnant mothers and older people. The present study was carried out to unravel the milk proteome profiles from geographically and genetically diverse goat breeds by gel based 2DE and nLC-MS/MS. A total of 1307 functional proteins comprising casein and other low abundance proteins were identified. Gene annotations revealed that the majority of the proteins were involved in binding function, catalytic activity and structural molecules and localised in nucleus and membrane. The distinguished proteins were involved in 144 KEGG pathways in information processing, metabolism, cellular process, organismal systems and diseases. The large number of proteins and peptides including bioactive peptides were reported from goat milk from diverse agro-climatic regions of India indicating their significant potential for human health applications. SIGNIFICANCE: Goat milk in India is used in various Ayurvedic formulations to treat a number of ailments and allergies as well as for nutraceutical formulations. The study identifies milk protein variants both at protein and DNA level and subsequent identification of proteins by 2DE and nLC-MS/MS resulting in a proteome comprising of 1307 proteins. The specific proteins and peptides having significant role in immune regulation, disease pathways, cellular growth and metabolism have been identified. The results contribute to goat milk protein and peptide database which is very limited. We identified proteins for specific functional categories and associated them with different pathways for studying functional diversity of goat milk proteins. The proteins and peptides identified can be used for multiple human health application.

