EPISODE · May 6, 2026 · 29 MIN
910-MIND：基于翻译效率预测微生物竞争与底物偏好
from 聊聊Sci
这项研究介绍了一种名为MIND（微生物相互作用与生态位确定）的创新分析框架，旨在实现对复杂微生物群落的精准调控。研究人员通过综合分析宏基因组学、宏转录组学和宏跨录组学数据，利用翻译效率（TE）作为细胞资源分配的关键指标，从而识别微生物的底物偏好与竞争关系。实验证明，该方法能以高准确率预测益生元和益生菌干预后的群落演变，并在实验室合成群落、土壤环境及人类粪便样本中得到了验证。在动物实验中，MIND成功指导了针对鼠类肠道共生菌的定向干预，显著提升了目标菌群的丰度。这一成果标志着微生物组学从描述性研究向预测性和功能性干预的重大跨越。该技术通过揭示微生物在群落中的功能优先序列，为环境修复和人类健康领域的定制化菌群调节提供了科学依据。References:Moyne O, Norton G J, Al-Bassam M, et al. Predicting competition and substrate preferences for targeted microbiome alteration[J]. Cell, 2026.前往小宇宙评论区与主播互动
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910-MIND：基于翻译效率预测微生物竞争与底物偏好
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