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Further evidence for sustainable alternatives to replace threatened animal horn based on quantitative proteomic analysis
Author(s) -
Liu Rui,
Huang Qiong,
Zhu Zhenhua,
Zhang Yan,
Qian Dawei,
Duan JinAo
Publication year - 2018
Publication title -
electrophoresis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.666
H-Index - 158
eISSN - 1522-2683
pISSN - 0173-0835
DOI - 10.1002/elps.201800282
Subject(s) - threatened species , biology , endangered species , proteome , french horn , principal component analysis , computational biology , evolutionary biology , ecology , bioinformatics , habitat , computer science , psychology , pedagogy , artificial intelligence
In the present study, a quantitative proteomic approach was used to analyze and compare the proteome in horns from endangered species (rhinoceros, Saiga antelope, and Tibetan antelope) and common species (yak, water buffalo, and goat) based on the isobaric tag for relative and absolute quantification techniques. In total, 591 proteins were identified, and 321 were quantified and categorized based on molecular function, cellular component, and biological process. Principal component analysis and hierarchical clustering analysis results based on differences in the amount of protein identified three major clusters, and proteins including transglutaminase, desmocollin, and elongation factors were selected as trait components from proteomic patterns of horn samples from different species. Quantitative proteomic analysis based strategies can therefore provide further evidence for sustainable alternatives to replace animal horn from threatened species.