An evolutionary landscape to better predict our future climate

更好地预测未来气候的进化景观

• 批准号: FT210100521
• 负责人: Dr Benjamin Woodcroft
• 金额: $ 65.68万
• 依托单位: Queensland University of Technology
• 依托单位国家: 澳大利亚
• 项目类别: ARC Future Fellowships
• 财政年份: 2022
• 资助国家: 澳大利亚
• 起止时间: 2022-01-01 至 2025-12-31
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/FT210100521
• 关键词: evolutionary; landscape; better; predict; our

Soil microbial communities are the most complicated and difficult to study on Earth, but their effects on our climate are profound. This project will examine the evolution of microorganisms and their viruses in soil using novel methods. It will uncover how the evolution of one microbial species influences the evolution of other community members. It will also apply a new model of evolution to the viruses that infect these microorganisms, constructing a viral ‘tree of life’. This improved fundamental understanding of soil communities will be used to study climate feedback from permafrost wetlands, a key and poorly constrained input of global climate models, improving predictions of our future climate.

土壤微生物群落是地球上最复杂和最难研究的，但它们对气候的影响是深远的。该项目将使用新方法研究土壤中微生物及其病毒的进化。它将揭示一种微生物物种的进化如何影响其他群落成员的进化。它还将对感染这些微生物的病毒应用新的进化模型，构建病毒“生命树”。这种对土壤群落的基本理解的提高将用于研究来自永久冻土湿地的气候反馈，这是全球气候模型的关键和约束性差的输入，改善了对我们未来气候的预测。