乳球菌的全球基因组学:横向基因转移和基因间变异驱动多种化和乳制品适应
Weicheng Li1, Jiaqi Sun2, Qiong Wu2
1Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural University, Hohhot, PR China; Key Laboratory of Dairy Products Processing, Ministry of Agriculture and Rural Affairs, Inner Mongolia Agricultural University, Hohhot, PR China; Inner Mongolia Key Laboratory of Dairy Biotechnology and Engineering, Inner Mongolia Agricultural University, Hohhot, PR China; Collaborative Innovative Center for Lactic Acid Bacteria and Fermented Dairy Products, Ministry of Education, Inner Mongolia Agricultural University, Hohhot, PR China.
Journal of advanced research
|August 1, 2025
概括
乳球菌表现出复杂的遗传多样性是由非编码DNA驱动的,而不仅仅是基因. 这项研究揭示了这些微生物如何适应不同的环境,有助于开发更好的乳制品菌株.
科学领域:
- 微生物学 微生物学
- 基因组学就是基因组学.
- 进化生物学 进化生物学
背景情况:
- 乳球菌 (Lactococcus lactis) 是一种重要的乳酸细菌,在乳制品生产中具有重要的经济意义.
- 该物种表现出广泛分布和大量的遗传多样性,但驱动其进化的因素尚未得到充分理解.
研究的目的:
- 研究Lactococcus lactis的种群结构,化历史和利基适应机制.
- 了解非编码DNA,特别是基因间区域 (IGR) 在微生物适应和表型多样性中的作用.
主要方法:
- 人口基因组学和功能基因组学分析是在来自全球不同息地的1008个Lactococcus lactis基因组的数据集上进行的.
- 遗传学,祖先和泛基因组分析被用来研究人口结构和遗传交换.
主要成果:
- 确定了两个主要的遗传分支和十个不同的血统,支持多种化模式,与植物相关的祖先多样化为适应乳制品的血统.
- 由移动遗传元素促进的水平基因转移和基因间区域 (IGR) 被发现是适应和表型多样性的关键驱动因素.
- 开发了一种机器学习模型,以准确预测发酵特征,从而实现高效的工业菌株选择.
结论:
- 非编码区域,特别是IGR,在微生物化和适应方面发挥着至关重要的作用.
- 该研究提供了一个基因组框架,用于优化乳制品发酵和生物技术的乳球菌,将生态适应与工业应用联系起来.
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