A Label-Free Quantitative Analysis for the Search of Proteomic Differences between Goat Breeds

被引:7
|
作者
Di Luca, Alessio [1 ]
Ianni, Andrea [1 ]
Bennato, Francesca [1 ]
Henry, Michael [2 ]
Meleady, Paula [2 ]
Martino, Giuseppe [1 ]
机构
[1] Univ Teramo, Dept Biosci & Agrofood & Environm Technol, I-64100 Teramo, Italy
[2] Dublin City Univ, Natl Inst Cellular Biotechnol, Dublin D09 DX63, Dublin, Ireland
来源
ANIMALS | 2022年 / 12卷 / 23期
基金
爱尔兰科学基金会;
关键词
goat; biodiversity; muscle; exudate; proteomics; label-free quantification; UNFOLDED PROTEIN RESPONSE; AMINO-ACID-METABOLISM; FAT GLOBULE-MEMBRANE; INITIATION-FACTOR; SKELETAL-MUSCLE; TRANSLATIONAL CONTROL; MILK; PATHWAY; STRESS; PHOSPHORYLATION;
D O I
10.3390/ani12233336
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
Simple Summary Biodiversity conservation is one of the most relevant current issues. The safeguarding of genetic resources of autochthon farm animals at risk of extinction, such as the Teramana goat, reflects the enhancement of the relative animal productions, in order to highlight the peculiarities that can induce breeders to devote themselves to a specific type of breeding and that can attract the interests of potential consumers. Recent advances in proteomics and bioinformatics tools offer the potential to investigate breed differences at the level of proteins (proteome) and consequently in terms of the biological processes and molecular functions of the specific breed under study. However, there is a lack of information on the potentiality of autochthonous breeds such as the Teramana goat. Therefore, in this study, a global differential proteomic experiment was carried out with the purpose of identifying variations in the expression of muscle proteins between the autochthon Teramana goat and the breed commonly used by the industry, Saanen. The results showed a difference in the expression pattern of 41 proteins that clearly separate the two breeds (underlying genetic differences), highlighting biological features that could influence the productivity, resilience and other traits of these animals. The intensification and standardization of livestock farming are causing a decline in the number of animal breeds in many species, such as the goat. The availability of more studies on the potentiality of goat breeds could raise awareness of their importance, conservation and productive possibilities. Label-free quantitative analysis was applied in this study to investigate the proteomic differences between the autochthon Teramana and Saanen goats that could be useful for defining peculiar features of these breeds. A total of 2093 proteins were characterized in the muscle exudate proteome of the Teramana and Saanen breeds. A total of 41 proteins clearly separated the two breeds. Eukaryotic initiation factor proteins and aldehyde-dehydrogenase 7 family-member A1 were up-regulated in the autochthon breed and associated with its resilience, whereas catalase was down-regulated and associated with lower muscular mass. This study is the most detailed report of goat muscle proteome. Several differentially regulated proteins between the two breeds were identified, providing insights into functional pathways that define this organism and its biology.
引用
收藏
页数:16
相关论文
共 50 条
  • [21] Label-free quantitative proteomic analysis reveals potential biomarkers and pathways in renal cell carcinoma
    Zhao, Zuohui
    Wu, Fei
    Ding, Sentai
    Sun, Liang
    Liu, Zhao
    Ding, Kejia
    Lu, Jiaju
    TUMOR BIOLOGY, 2015, 36 (02) : 939 - 951
  • [22] Comparison of label and label-free approaches for quantitative proteome analysis
    Pinto, D.
    Melanson, J.
    Avery, S.
    Chisholm, K.
    Locke, S.
    Alaoui-Jamali, M.
    MOLECULAR & CELLULAR PROTEOMICS, 2005, 4 (08) : S326 - S326
  • [23] Comparative label-free proteomic analysis of equine osteochondrotic chondrocytes
    Chiaradia, Elisabetta
    Pepe, Marco
    Sassi, Paola
    Mohren, Ronny
    Orvietani, Pier Luigi
    Paolantoni, Marco
    Tognoloni, Alessia
    Sforna, Monica
    Eveque, Maxime
    Tombolesi, Niki
    Cillero-Pastor, Berta
    JOURNAL OF PROTEOMICS, 2020, 228
  • [24] Label-free proteomic analysis and functional analysis in patients with intrauterine adhesion
    Ye, Jingxuan
    Li, Yong
    Kong, Chengcai
    Ren, Yiwen
    Lu, Hangcheng
    JOURNAL OF PROTEOMICS, 2023, 277
  • [25] Label-Free Proteomic Analysis of Breast Cancer Molecular Subtypes
    Panis, Carolina
    Pizzatti, Luciana
    Herrera, Ana Cristina
    Correa, Stephany
    Binato, Renata
    Abdelhay, Eliana
    JOURNAL OF PROTEOME RESEARCH, 2014, 13 (11) : 4752 - 4772
  • [26] Comparative Sample Preparation Methods for a Label-Free Proteomic Analysis
    Nguyen, Thy N. C.
    Lee, Jung Hyun
    Kim, Nayeon
    Choi, Jae Rim
    Vu, Hung M.
    Kim, Min-Sik
    MASS SPECTROMETRY LETTERS, 2022, 13 (04) : 184 - 188
  • [27] Label-free quantitative analysis for studying the interactions between nanoparticles and plasma proteins
    Capriotti, Anna Laura
    Caracciolo, Giulio
    Caruso, Giuseppe
    Cavaliere, Chiara
    Pozzi, Daniela
    Samperi, Roberto
    Lagana, Aldo
    ANALYTICAL AND BIOANALYTICAL CHEMISTRY, 2013, 405 (2-3) : 635 - 645
  • [28] Label-free quantitative analysis for studying the interactions between nanoparticles and plasma proteins
    Anna Laura Capriotti
    Giulio Caracciolo
    Giuseppe Caruso
    Chiara Cavaliere
    Daniela Pozzi
    Roberto Samperi
    Aldo Laganà
    Analytical and Bioanalytical Chemistry, 2013, 405 : 635 - 645
  • [29] Proteomic Differences Between Hepatocellular Carcinoma and Nontumorous Liver Tissue Investigated by a Combined Gel-based and Label-free Quantitative Proteomics Study
    Megger, Dominik A.
    Bracht, Thilo
    Kohl, Michael
    Ahrens, Maike
    Naboulsi, Wael
    Weber, Frank
    Hoffmann, Andreas-Claudius
    Stephan, Christian
    Kuhlmann, Katja
    Eisenacher, Martin
    Schlaak, Joerg F.
    Baba, Hideo A.
    Meyer, Helmut E.
    Sitek, Barbara
    MOLECULAR & CELLULAR PROTEOMICS, 2013, 12 (07) : 2006 - 2020
  • [30] Label-free quantitative proteomic analysis of alfalfa in response to microRNA156 under high temperature
    Arshad, Muhammad
    Puri, Alpa
    Simkovich, Aaron J.
    Renaud, Justin
    Gruber, Margaret Y.
    Marsolais, Frederic
    Hannoufa, Abdelali
    BMC GENOMICS, 2020, 21 (01)