4.5 Article

Peering below the diffraction limit: robust and specific sorting of viruses with flow cytometry

期刊

VIROLOGY JOURNAL
卷 13, 期 -, 页码 -

出版社

BMC
DOI: 10.1186/s12985-016-0655-7

关键词

Droplet microfluidics; Next generation sequencing; Single virus genomics

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资金

  1. National Science Foundation through a CAREER Award [DBI-1253293, MCB-1243963]
  2. National Institutes of Health (NIH) [HG007233-01, R01-EB019453-01, DP2-AR068129-01]
  3. Defense Advanced Research Projects Agency Living Foundries Program [HR0011-12-C-0065, N66001-12-C-4211, HR0011-12-C-0066]
  4. Portland State University
  5. Div Of Molecular and Cellular Bioscience
  6. Direct For Biological Sciences [1243963] Funding Source: National Science Foundation

向作者/读者索取更多资源

Background: Viruses are incredibly diverse organisms and impact all forms of life on Earth; however, individual virions are challenging to study due to their small size and mass, precluding almost all direct imaging or molecular analysis. Moreover, like microbes, the overwhelming majority of viruses cannot be cultured, impeding isolation, replication, and study of interesting new species. Here, we introduce PCR-activated virus sorting, a method to isolate specific viruses from a heterogeneous population. Specific sorting opens new avenues in the study of uncultivable viruses, including recovering the full genomes of viruses based on genetic fragments in metagenomes, or identifying the hosts of viruses. Methods: PAVS enables specific sorting of viruses with flow cytometry. A sample containing a virus population is processed through a microfluidic device to encapsulate it into droplets, such that the droplets contain different viruses from the sample. TaqMan PCR reagents are also included targeting specific virus species such that, upon thermal cycling, droplets containing the species become fluorescent. The target viruses are then recovered via droplet sorting. The recovered virus genomes can then be analyzed with qPCR and next generation sequencing. Results and Conclusions: We describe the PAVS workflow and demonstrate its specificity for identifying target viruses in a heterogeneous population. In addition, we demonstrate recovery of the target viruses via droplet sorting and analysis of their nucleic acids with qPCR.

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