From a descriptive to a predictive understanding of the human microbiome.

从对人类微生物组的描述性理解到预测性理解。

• 批准号: FL230100159
• 负责人: Prof Gene Tyson
• 金额: $ 228.26万
• 依托单位: Queensland University of Technology
• 依托单位国家: 澳大利亚
• 项目类别: Australian Laureate Fellowships
• 财政年份: 2024
• 资助国家: 澳大利亚
• 起止时间: 2024-01-01 至 2028-12-31
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/FL230100159
• 关键词: descriptive; predictive; understanding; human; microbiome.

Microorganisms inhabit every imaginable environment on Earth. Despite advances in characterising microbial communities, our understanding is largely descriptive and a detailed appreciation of their complexity eludes us. This Laureate project aims to transform microbial ecology into a predictive science, through intensive investigation of the human gut microbiome as a model ecosystem. Major challenges in microbiology are expected to be overcome, with new knowledge for predicting how microorganisms influence, and are influenced by, their environment. Ultimately this knowledge can help us manipulate microbial communities in diverse ecosystems to our advantage – protecting the planet’s natural assets, and improving agriculture and human health.

微生物存在于地球上每一个可以想象的环境中。尽管在表征微生物群落方面取得了进展，但我们的理解在很大程度上是描述性的，并且对它们的复杂性的详细了解使我们难以理解。该项目旨在通过对人类肠道微生物组作为模型生态系统的深入研究，将微生物生态学转化为预测科学。随着预测微生物如何影响其环境以及如何受其环境影响的新知识的出现，微生物学领域的重大挑战有望得到克服。最终，这些知识可以帮助我们操纵不同生态系统中的微生物群落，使其对我们有利--保护地球的自然资产，改善农业和人类健康。