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发表于 2024-02-06

「本周顶刊」宏基因组学与环境微生物的交汇点

微生物与宿主的代谢对话
- Nature Microbiology | 2024-02-05
  Host–microbe metabolic dialogue
  Metabolomics and feeding experiments demonstrate the host’s active role in sharing organic acids with a gut microbiota member, revealing host–microbe interactions that foster symbiosis.
微生物组数据的自动化和可扩展分类
- Nature Microbiology | 2024-02-05
  A framework for automated scalable designation of viral pathogen lineages from genomic data
  An automated and scalable system for virus lineage designation based on heuristic approaches can help curate large genomic datasets and inform nomenclature.
环境微生物对健康的影响
- Nature | 2024-02-05
  Surprise find: a blood-based immune system is discovered in the gut
  Discovery of complement proteins manufactured by gut cells, which play a role in pathogen defense, highlighting the intricate connections between environmental microbes and health.

Nature Microbiology | 2024-02-05
Predictions of rhizosphere microbiome dynamics with a genome-informed and trait-based energy budget model
摘要: A trait-based approach harnesses microbial genomic data, predicting soil microbial ecology and physiology without the need for cultures.
点评: 这篇文章对于理解土壤微生物的生态和生理学非常重要，尤其是在不需要培养的情况下，这对于环境微生物学研究具有划时代的意义。
Nature Biotechnology | 2024-02-01
A new mass analyzer shakes up the proteomics field
摘要: A new mass analyzer enables protein identification at high speed and depth, which could revolutionize proteomics.
点评: 这项技术的发展可能会极大地推动蛋白质组学的研究，特别是在宏基因组学中，对蛋白质快速鉴定的需求日益增长。
Nature | 2024-02-01
This AI learnt language by seeing the world through a baby’s eyes
摘要: A neural network that taught itself to recognize objects using the filmed experiences of a single infant could offer new insights into how humans learn.
点评: 虽然这篇文章不直接关联宏基因组学或环境微生物，但它展示了人工智能在模式识别和学习方面的潜力，这对生物信息学领域的发展至关重要。

本周的研究亮点集中在宏基因组学、环境微生物学以及相关的生物信息学技术上。特别值得注意的是，新的质谱分析技术和AI在数据分析上的应用，这些进展不仅推动了科学研究的深入，也为未来的环境微生物学和宏基因组学研究提供了新的工具和视角。

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主编: CIAO