About this Research Topic
Microbiome research has been revolutionized by high-throughput sequencing technology, allowing compositional and functional profiling of complex microbial communities previously inaccessible. However, even though the microbiome is recognized to have important functions in many different environments, most research to date has been limited to correlative findings rather than mechanistic insights. Emerging technologies in microbiome analysis and engineering, which reaps advances in systems and synthetic biology, computational biology and traditional microbiology, will enable more precise characterization and fine-tuned control of a microbiome.
This Research Topic focuses on the most important areas for advancing microbiome analysis and engineering, including technologies that enable microbiome measurements in situ, genetic manipulation of microbes within a community, computational methods for predicting microbiome growth and function, etc. These technical challenges are broadly applicable and necessary to advance our understanding and manipulation of the microbiome.
This Research Topic particularly welcomes but is not limited to contribution focusing on:
-Imaging techniques, including microscopy, mass spectrometry imaging, etc.
-Applications of microfluidics in microbiome
-Genetic engineering tools for microbes
-Computational modelling of microbiome, mechanistic-based or machine learning
-Experimental model systems
-Engineering microbe-microbe interactions
Dr Lei Dai received financial support from XBiome(Shenzhen) and declared no competing interests regarding the Research Topic Subject). All other Topic Editors declare no competing interests with regards to the Research Topic subject.
This Research Topic focuses on the most important areas for advancing microbiome analysis and engineering, including technologies that enable microbiome measurements in situ, genetic manipulation of microbes within a community, computational methods for predicting microbiome growth and function, etc. These technical challenges are broadly applicable and necessary to advance our understanding and manipulation of the microbiome.
This Research Topic particularly welcomes but is not limited to contribution focusing on:
-Imaging techniques, including microscopy, mass spectrometry imaging, etc.
-Applications of microfluidics in microbiome
-Genetic engineering tools for microbes
-Computational modelling of microbiome, mechanistic-based or machine learning
-Experimental model systems
-Engineering microbe-microbe interactions
Dr Lei Dai received financial support from XBiome(Shenzhen) and declared no competing interests regarding the Research Topic Subject). All other Topic Editors declare no competing interests with regards to the Research Topic subject.
Keywords: Microbiome, Metagenomics, Culturomics, Imaging, Synthetic biology, Systems Biology, Machine Learning
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
