کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8502783 | 1554053 | 2018 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Microbial community dynamics analysis by high-throughput sequencing in chilled beef longissimus steaks packaged under modified atmospheres
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
علوم کشاورزی و بیولوژیک
دانش تغذیه
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Microbial community dynamics analysis by high-throughput sequencing in chilled beef longissimus steaks packaged under modified atmospheres Microbial community dynamics analysis by high-throughput sequencing in chilled beef longissimus steaks packaged under modified atmospheres](/preview/png/8502783.png)
چکیده انگلیسی
The microbial community dynamics were investigated in this study to understand the spoilage of beef steaks packaged in both modified atmosphere packaging (MAP): 80%O2-MAP (80% O2/20% CO2) and CO-MAP (0.4% CO/30% CO2/69.6% N2). Steaks were stored at 2â¯Â°C for 20â¯days. Meat physicochemical changes and microbial counts were monitored, and the microbial communities were evaluated by high throughput-sequencing. The microbial diversity for both MAP decreased over time and it was more complex in CO-MAP steaks than that in 80%O2-MAP steaks. B. thermosphacta and Pseudomonas spp. were dominant bacteria of 80%O2-MAP steaks but Pseudomonas spp. gradually outcompeted the former from day 10. Leuconostoc, Lactobacillus, Lactococcus, Vagococcus and Serratia dominated alternately in CO-MAP steaks during storage, and Lactococcus eventually became the most common bacteria. Predicted metagenomes indicated a higher microbial amino acid and lipid metabolism level in 80%O2-MAP compared with CO-MAP at day 20, which may contribute to the dramatic physicochemical deterioration of 80%O2-MAP steaks.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Meat Science - Volume 141, July 2018, Pages 94-102
Journal: Meat Science - Volume 141, July 2018, Pages 94-102
نویسندگان
Xiaoyin Yang, Lixian Zhu, Yimin Zhang, Rongrong Liang, Xin Luo,