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Engineering    2017, Vol. 3 Issue (1) : 66 -70
Research |
Emerging Trends for Microbiome Analysis: From Single-Cell Functional Imaging to Microbiome Big Data
Jian Xu1,5(),Bo Ma1,5,Xiaoquan Su1,5,Shi Huang1,5,Xin Xu4,Xuedong Zhou4,Wei Huang3,Rob Knight2()
1. Single-Cell Center, CAS Key Laboratory of Biofuels, Shandong Key Laboratory of Energy Genetics, Qingdao Institute of BioEnergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong 266101, China
2. Center for Microbiome Innovation, Department of Pediatrics, Department of Computer Science and Engineering, University of California San Diego, CA 92093, USA
3. Department of Engineering Science, University of Oxford, Oxford OX1 3PJ, UK
4. State Key Laboratory of Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, China
5. University of Chinese Academy of Sciences, Beijing 100049, China

Method development has always been and will continue to be a core driving force of microbiome science. In this perspective, we argue that in the next decade, method development in microbiome analysis will be driven by three key changes in both ways of thinking and technological platforms: ① a shift from dissecting microbiota structureby sequencing to tracking microbiota state, function, and intercellular interaction via imaging; ② a shift from interrogating a consortium or population of cells to probing individual cells; and ③ a shift from microbiome data analysis to microbiome data science. Some of the recent method-development efforts by Chinese microbiome scientists and their international collaborators that underlie these technological trends are highlighted here. It is our belief that the China Microbiome Initiative has the opportunity to deliver outstanding “Made-in-China” tools to the international research community, by building an ambitious, competitive, and collaborative program at the forefront of method development for microbiome science.

Keywords Microbiome      Methoddevelopment      Single-cell analysis      Big data      China Microbiome Initiative     
Corresponding Authors: Jian Xu,Rob Knight   
Just Accepted Date: 21 February 2017   Online First Date: 01 March 2017    Issue Date: 02 March 2017
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Jian Xu
Bo Ma
Xiaoquan Su
Shi Huang
Xin Xu
Xuedong Zhou
Wei Huang
Rob Knight
Cite this article:   
Jian Xu,Bo Ma,Xiaoquan Su, et al. Emerging Trends for Microbiome Analysis: From Single-Cell Functional Imaging to Microbiome Big Data[J]. Engineering, 2017, 3(1): 66 -70 .
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