4.7 Article

Differential abundance of sarcoplasmic proteome explains animal effect on beef Longissimus lumborum color stability

期刊

MEAT SCIENCE
卷 102, 期 -, 页码 90-98

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.meatsci.2014.11.011

关键词

Beef color; Color stability; Glycolytic enzyme; Longissimus lumborum; Myoglobin; Sarcoplasmic proteome

资金

  1. Agriculture and Food Research Initiative Grant from the USDA National Institute of Food and Agriculture [2012-67018-30166]
  2. Office of the Vice President for Research
  3. Coordination for the Improvement of Higher Level Personnel (CAPES, Brazil) [BEX 0128-12-0]
  4. ARS [813347, ARS-0423446] Funding Source: Federal RePORTER
  5. NIFA [2012-67018-30166, 579145] Funding Source: Federal RePORTER

向作者/读者索取更多资源

The sarcoplasmic proteome of beef Longissimus lumborum demonstrating animal-to-animal variation in color stability was examined to correlate proteome profile with color. Longissimus lumborum (36 h post-mortem) muscles were obtained from 73 beef carcasses, aged for 13 days, and fabricated to 2.5-cm steaks. One steak was allotted to retail display, and another was immediately vacuum packaged and frozen at -80 degrees C. Aerobically packaged steaks were stored under display, and color was evaluated on days 0 and 11. The steaks were ranked based on redness and color stability on day 11, and ten color-stable and ten color-labile carcasses were identified. Sarcoplasmic proteome of frozen steaks from the selected carcasses was analyzed. Nine proteins were differentially abundant in color-stable and color-labile steaks. Three glycolytic enzymes (phosphoglucomutase-1, glyceraldehyde-3-phosphate dehydrogenase, and pyruvate kinase M2) were over-abundant in color-stable steaks and positively correlated (P<0.05) to redness and color stability. These results indicated that animal variations in proteome contribute to differences in beef color. (C) 2014 Elsevier Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据