Kamilari Eleni, Stanton Catherine, Tsaltas Dimitrios, Ross R Paul
APC Microbiome Ireland, University College Cork, Cork T12 YT20, Ireland.
School of Microbiology, University College Cork, Cork T12 K8AF, Ireland.
Microbiome Res Rep. 2024 Oct 28;4(1):3. doi: 10.20517/mrr.2024.47. eCollection 2025.
To characterize the microbial biodiversity of fermented sausages from the East Mediterranean islands of Cyprus and Mytilini, and to identify differences between the microbial diversity of traditionally and industrially produced Cypriot sausages. The microbial diversity of thirty sausages from Cyprus and Mytilini (traditionally and industrially produced) was analyzed using high throughput sequencing (HTS) (amplicon sequencing) of 16S rRNA gene and ITS loci fragments. By applying microbial signature detection and machine learning algorithms, we identified key microbes that distinguish traditionally produced sausages from those produced industrially. Focusing on selected microbial taxa and using interaction network analysis, we identified associations among the sausages' microbiota that may affect the shaping of the sausages' microbial consortia. Cypriot and Mytilini sausages indicated increased relative representation of and . Cypriot sausages were distinguished by the presence of the fungi and , whereas Mytilini sausages by the bacteria and . Traditionally produced sausages from the Pitsilia region of Cyprus were differentiated by the presence of the species , whereas industrially produced sausages were differentiated by the species . Focusing mainly on and , negative associations with pathogenic bacteria, such as , and spoilage fungi, such as , were revealed. The present metataxonomic analysis provided insights into the microbial communities that characterize Cypriot and Mytilini sausages. The findings provide an indication that the microbial diversity might be applied as an additional marker of Cypriot sausages' authenticity.
为了表征塞浦路斯和米蒂利尼这两个东地中海岛屿发酵香肠的微生物多样性,并确定传统生产和工业生产的塞浦路斯香肠在微生物多样性上的差异。使用16S rRNA基因和ITS基因座片段的高通量测序(HTS)(扩增子测序)分析了来自塞浦路斯和米蒂利尼的30根香肠(传统生产和工业生产)的微生物多样性。通过应用微生物特征检测和机器学习算法,我们确定了区分传统生产的香肠和工业生产的香肠的关键微生物。聚焦于选定的微生物分类群并使用相互作用网络分析,我们确定了香肠微生物群之间可能影响香肠微生物群落形成的关联。塞浦路斯和米蒂利尼香肠显示出[具体微生物名称1]和[具体微生物名称2]的相对丰度增加。塞浦路斯香肠的特征是存在真菌[具体真菌名称1]和[具体真菌名称2],而米蒂利尼香肠的特征是存在细菌[具体细菌名称1]和[具体细菌名称2]。塞浦路斯皮齐利亚地区传统生产的香肠因存在[具体物种名称1]而有所不同,而工业生产的香肠则因[具体物种名称2]而有所不同。主要关注[具体微生物名称3]和[具体微生物名称4],发现它们与诸如[具体病原菌名称]等病原菌以及诸如[具体腐败真菌名称]等腐败真菌呈负相关。目前的宏分类分析为表征塞浦路斯和米蒂利尼香肠的微生物群落提供了见解。研究结果表明,微生物多样性可能被用作塞浦路斯香肠真实性的一个额外标志。