Back to Search Start Over

Milk of Greek sheep and goat breeds; characterization by means of proteomics

Authors :
Evangelos Kontopodis
G. Arsenos
George Th. Tsangaris
Ioannis Skoufos
George C. Fthenakis
Spyridon Karkabounas
Vasileios Pierros
Angeliki I. Katsafadou
Athina Tzora
Athanasios Anagnostopoulos
Source :
Journal of Proteomics. 147:76-84
Publication Year :
2016
Publisher :
Elsevier BV, 2016.

Abstract

Over the past 30 years there has been a growing interest to unravel the dynamic framework of the milk proteome, and now that available technology is mature enough to enable techniques of protein fractionation and identification, this process is on-going. Due to its rarity and unique biological traits, as well as its growing financial value, milk of dairy Greek animals is continuously attracting interest from both the scientific community and industry. In the present study we employed cutting-edge proteomics methodologies to investigate and characterize, in depth, the proteome of whey from all pure-breed Greek sheep and goats. A mean of > 500 protein groups were identified in whey from each breed of each animal species, reporting for the first time the proteome dataset of this precious biological material. Given its high nutritional value, the protein properties exposed herein will govern future steps in optimizing characteristics and features of sheep and goat milk products. Significance In the present study we employed cutting-edge proteomics methodologies to investigate and characterize, in depth, the proteome of milk from all pure-breed Greek sheep and goats. A mean of > 500 protein groups were identified in milk whey from each breed of each animal species, reporting for the first time the proteome dataset of this precious biological material. Given its high nutritional value, the protein properties exposed herein will govern future steps in optimizing characteristics and features of sheep and goat milk products.

Details

ISSN :
18743919
Volume :
147
Database :
OpenAIRE
Journal :
Journal of Proteomics
Accession number :
edsair.doi.dedup.....6833076905b18c2216418dc7900369f5
Full Text :
https://doi.org/10.1016/j.jprot.2016.04.008