4.6 Article

FACS-iChip: a high-efficiency iChip system for microbial 'dark matter' mining

期刊

MARINE LIFE SCIENCE & TECHNOLOGY
卷 3, 期 2, 页码 162-168

出版社

SPRINGERNATURE
DOI: 10.1007/s42995-020-00067-7

关键词

FACS-iChip; Microbial 'dark matter'; In situ cultivation; Single cell sorting

资金

  1. National Natural Science Foundation of China [41991334]
  2. Zhejiang Provincial Natural Science Foundation of China [LD19D060001, LQ20C030006]
  3. China Postdoctoral Science Foundation [2019M652097]

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The FACS-iChip system combines flow cytometry and iChip methods for effective exploration of previously uncultivable microorganisms in soil, achieving a high culture recovery and retrieval rate. Although many microorganisms were cultured, only a few could be identified through 16S rRNA gene amplification, indicating the system's capability to detect microbial strains in the dead spaces of PCR technology.
The isolation chip method (iChip) provides a novel approach for culturing previously uncultivable microorganisms; this method is currently limited by the user being unable to ensure single-cell loading within individual wells. To address this limitation, we integrated flow cytometry-based fluorescence-activated cell sorting with a modified iChip (FACS-iChip) to effectively mine microbial dark matter in soils. This method was used for paddy soils with the aim of mining uncultivable microorganisms and making preliminary comparisons between the cultured microorganisms and the bulk soil via 16S rRNA gene sequencing. Results showed that the FACS-iChip achieved a culture recovery rate of almost 40% and a culture retrieval rate of 25%. Although nearly 500 strains were cultured from 19 genera with 8 FACS-iChip plates, only six genera could be identified via 16S rRNA gene amplification. This result suggests that the FACS-iChip is capable of detecting strains in the currently dead spaces of PCR-based sequencing technology. We, therefore, conclude that the FACS-iChip system provides a highly efficient and readily available approach for microbial 'dark matter' mining.

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