Literature DB >> 25627841

Single cell biotechnology to shed a light on biological 'dark matter' in nature.

Wei E Huang1, Yizhi Song, Jian Xu.   

Abstract

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Year:  2015        PMID: 25627841      PMCID: PMC4321360          DOI: 10.1111/1751-7915.12249

Source DB:  PubMed          Journal:  Microb Biotechnol        ISSN: 1751-7915            Impact factor:   5.813


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It is estimated that over 99% of microorganisms have not as yet been cultivated (Whitman et al., 1998). These uncultured microbes are the ‘dark matter’ of the microbiological world and play important roles in natural ecosystems and the human microbiome (Lagier et al., 2012; Rinke et al., 2013); however, their ecological role and function remain largely elusive (Lasken, 2012; Li et al., 2012a,b). Furthermore, these uncultured bacteria represent a significant, yet largely untapped, genetic resource for use in synthetic biology for the provision of novel bioparts or biobricks, in medicine for new drug biosynthesis, in industry for robust biocatalysts and biofuel synthesis, and in environmental bioremediation for new biodegradation genes. Metagenomics circumvents the cultivation issue by extracting the total DNA from an environmental sample, and directly sequencing it (Handelsman, 2004), and this approach has revealed an unprecedented view of the diversity and complexity of microbial communities. However, such approaches are usually unable to define or validate the specific role of individual members of the usually complex microbiota. Single cell biotechnology, which characterizes microbial cells in their native microbiota one by one, offers a new approach to study uncultured bacteria. An ideal platform is to integrate accurate and ‘contamination-free’ single cell sorting tools with powerful next-generation DNA sequencing. This will usher in a new area of single cell omics (genomics, transcriptomics, proteomics and metabolomics). For single cell biotechnology, there are a number of key challenges: non-invasive and in-vivo cell analysis, the linking of cell phenotypes to specific ecological functions (e.g. substrate metabolism), overcoming limitations in measurement parameters, systematic differentiation of the given ‘state’ or phenotype of a cell and isolation of live single cells from complex samples in-situ. Among the various single cell sorting techniques (Lasken, 2012; Li et al., 2012a,b), an emerging approach is Raman-activated cell sorting (RACS), which overcomes the requirement for external labelling. Single cell Raman spectra (SCRS) provide a label-free, non-invasive and intrinsic phenotypic profile of individual cells which can be used to characterize cell type, physiological state and cell functionalities (Huang et al., 2004; 2007a,b,c; Harz et al., 2009; Li et al., 2012a,b; Wang et al., 2014). A typical SCRS provides an intrinsic chemical ‘fingerprint’ of a single cell, and usually contains multi-parameter (> 1000 readings) including rich information on nucleic acids, protein, carbohydrates and lipids (Li et al., 2012a,b). Since SCRS measures the vibration of molecular bonds, it is sensitive to stable isotope compounds and SCRS undergoes Raman shift when cells incorporate stable isotope compounds (e.g. 13C-, 15N-substrates or 2H from heavy water D2O) into the cell's building blocks (e.g. DNA, lipids, protein or carbohydrate) (Huang et al., 2004; 2007a,b,c; Wang et al., 2013). SCRS offers a unique way to link cells to specific functions (e.g. C/N metabolism and metabolic activity) and to define cells of interest at a single cell level. A RACS system consists of a SCRS detection system and a cell isolation system that can be optical tweezers (Huang et al., 2009), a microfluidic device (Li et al., 2012a,b) or a single cell ejection system (Wang et al., 2013). RACS would identify cells of interest and isolate them for downstream single cell omics analysis. The isolated single cells would be processed on microfluidic chips for DNA/RNA extraction and amplification. The DNA/RNA can then be quantified or sequenced to decode the genomes or transcriptomes of the particular cells. Such a platform directly establishes the links between genotype and phenotype of individual cells, thus offering unprecedented opportunities to study how variability of environmental and genetic impacts on the phenotype of single cells. Single cell biotechnology will not only be a powerful tool to microbiology, but also herald single cell biology as a new frontier of cell biology. A single cell is the basic functional unit of life and all living organisms start from single cells. Learning how cells work by studying the individual cell is an important component of cell biology and single cell technology promotes a deeper understanding of cell biology. Recent research from the studies of single cells reveals that individual cells within the same population may differ dramatically in function, and these differences have profound biological implications, ranging from bacterial physiology to embryotic cell development, tissue differentiation, cancer cell formation and evolution. In summary, during the next decade, just like DNA sequencing, single cell biotechnologies are expected to rapidly move into bench tops of biology laboratory, and to permeate all branches of life sciences and biotechnology. They promise to uncover fundamental biological principles and ultimately improve the diagnosis and treatment of diseases, unravel the ecological role of bacteria in soils, plants and humans, and promote the discovery of new gene functions for use in industry.

Conflict of interest

None declared.
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Authors:  Mengqiu Li; Jian Xu; Maria Romero-Gonzalez; Steve A Banwart; Wei E Huang
Journal:  Curr Opin Biotechnol       Date:  2011-12-02       Impact factor: 9.740

Review 2.  Metagenomics: application of genomics to uncultured microorganisms.

Authors:  Jo Handelsman
Journal:  Microbiol Mol Biol Rev       Date:  2004-12       Impact factor: 11.056

Review 3.  Genomic sequencing of uncultured microorganisms from single cells.

Authors:  Roger S Lasken
Journal:  Nat Rev Microbiol       Date:  2012-09       Impact factor: 60.633

4.  Rapid resonance Raman microspectroscopy to probe carbon dioxide fixation by single cells in microbial communities.

Authors:  Mengqiu Li; Daniel P Canniffe; Philip J Jackson; Paul A Davison; Simon FitzGerald; Mark J Dickman; J Grant Burgess; C Neil Hunter; Wei E Huang
Journal:  ISME J       Date:  2011-11-24       Impact factor: 10.302

5.  Raman-activated cell counting for profiling carbon dioxide fixing microorganisms.

Authors:  Mengqiu Li; Praveen C Ashok; Kishan Dholakia; Wei E Huang
Journal:  J Phys Chem A       Date:  2012-03-05       Impact factor: 2.781

Review 6.  Prokaryotes: the unseen majority.

Authors:  W B Whitman; D C Coleman; W J Wiebe
Journal:  Proc Natl Acad Sci U S A       Date:  1998-06-09       Impact factor: 11.205

7.  Raman tweezers sorting of single microbial cells.

Authors:  Wei E Huang; Andrew D Ward; Andrew S Whiteley
Journal:  Environ Microbiol Rep       Date:  2009-02       Impact factor: 3.541

8.  Raman-FISH: combining stable-isotope Raman spectroscopy and fluorescence in situ hybridization for the single cell analysis of identity and function.

Authors:  Wei E Huang; Kilian Stoecker; Robert Griffiths; Lyndsay Newbold; Holger Daims; Andrew S Whiteley; Michael Wagner
Journal:  Environ Microbiol       Date:  2007-08       Impact factor: 5.491

9.  Single-cell Raman spectral profiles of Pseudomonas fluorescens SBW25 reflects in vitro and in planta metabolic history.

Authors:  Wei E Huang; Mark J Bailey; Ian P Thompson; Andrew S Whiteley; Andrew J Spiers
Journal:  Microb Ecol       Date:  2007-03-02       Impact factor: 4.192

10.  Pseudomonas fluorescens SBW25 biofilm and planktonic cells have differentiable Raman spectral profiles.

Authors:  Wei E Huang; Susanne Ude; Andrew J Spiers
Journal:  Microb Ecol       Date:  2007-03-08       Impact factor: 4.192

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Authors:  Eric van der Helm; Hans J Genee; Morten O A Sommer
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2.  Single-Cell-Genomics-Facilitated Read Binning of Candidate Phylum EM19 Genomes from Geothermal Spring Metagenomes.

Authors:  Eric D Becraft; Jeremy A Dodsworth; Senthil K Murugapiran; J Ingemar Ohlsson; Brandon R Briggs; Jad Kanbar; Iwijn De Vlaminck; Stephen R Quake; Hailiang Dong; Brian P Hedlund; Wesley D Swingley
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3.  Single-cell genomics based on Raman sorting reveals novel carotenoid-containing bacteria in the Red Sea.

Authors:  Yizhi Song; Anne-Kristin Kaster; John Vollmers; Yanqing Song; Paul A Davison; Martinique Frentrup; Gail M Preston; Ian P Thompson; J Colin Murrell; Huabing Yin; C Neil Hunter; Wei E Huang
Journal:  Microb Biotechnol       Date:  2016-10-17       Impact factor: 5.813

4.  Raman-activated cell sorting and metagenomic sequencing revealing carbon-fixing bacteria in the ocean.

Authors:  Xiaoyan Jing; Honglei Gou; Yanhai Gong; Xiaolu Su; Yuetong Ji; Yizhi Song; Ian P Thompson; Jian Xu; Wei E Huang
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