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Novel miniature CRISPR–Cas13 systems from uncultivated microbes effective in degrading SARS-CoV-2 sequences and influenza viruses

Authors :
Yingsi Zhou
Dongming Zhou
Xiaona Huo
Bingbing He
Birong Cao
Guannan Geng
Zikang Wang
Tanglong Yuan
Chunlong Xu
Xiang Wang
Hui Yang
Qingquan Xiao
Publication Year :
2020
Publisher :
Research Square Platform LLC, 2020.

Abstract

Recently emerging SARS-CoV-2 virus has caused a global pandemic, with millions of infections and over 200, 000 deaths1. However, development of effective anti-coronavirus treatments has lagged behind. Competitive co-evolution between microbes and viruses has led to the diversification of microbe’s CRISPR/Cas defense systems against infectious viruses2,3. Among class-2 single effector systems, Cas13 is effective in combating RNA phages4. Previous studies have discovered novel Cas9 and Cas12 systems from metagenomic sequence of natural microbes5-7. Here we report the identification of two additional compact Cas13 families from natural microbes that are effective in degrading RNA viruses in mammalian cells. Using metagenomic terabase data sets, we searched for previously uncharacterized Cas13 genes proximal to the CRISPR array with a customized computational pipeline, and identified two most compact families (775 to 803 amino acids) of CRISPR-Cas ribonucleases, named hereafter as CRISPR/Cas type VI-E and VI-F. Out of seven Cas13 proteins, we found that Cas13e.1 was the smallest and could be engineered for efficient RNA interference and base editing in cultured mammalian cell lines. Moreover, Cas13e.1 has a high activity for degrading SARS-CoV-2 sequences and the genome of live influenza A virus (IAV). Together with a minimal pool of 10 crRNAs, Cas13e.1 could target over 99% of all known 3,137 coronavirus genomes for achieving antiviral defense. Overall, our results demonstrated there exist untapped bacterial defense systems in natural microbes that can function efficiently in mammalian cells, thus potentially useful for preventing viral infection in humans such as COVID-19.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........1e1228036c8ee69c12344de4e80e1eff
Full Text :
https://doi.org/10.21203/rs.3.rs-30924/v1