Nidhi Sweta, Tripathi Pooja, Tripathi Vijay
Department of Genomics and Bioinformatics, Aix-Marseille University, 13007, Marseille, France.
Department of Computational Biology and Bioinformatics, Jacob Institute of Biotechnology and Bioengineering, Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj, Uttar Pradesh, 211007, India.
Mol Biotechnol. 2023 Feb;65(2):273-281. doi: 10.1007/s12033-022-00558-1. Epub 2022 Sep 15.
CRISPR-Cas is a widespread anti-viral adaptive immune system in the microorganisms. Viruses living in bacteria or some phages carry anti-CRISPR proteins to evade immunity by CRISPR-Cas. The anti-CRISPR proteins are prevalent in phages capable of lying dormant in a CRISPR-carrying host, while their orthologs frequently found in virulent phages. Here, we propose a probabilistic strategy of ancestral sequence reconstruction (ASR) and Hidden Markov Model (HMM) profile search to fish out sequences of anti-CRISPR proteins from environmental metagenomic, human microbiome metagenomic, human microbiome reference genome, and NCBI's non-redundant databases. Our results revealed that the metagenome database dark matter might contain anti-CRISPR encoding genes.
CRISPR-Cas是微生物中一种广泛存在的抗病毒适应性免疫系统。生活在细菌或某些噬菌体中的病毒携带抗CRISPR蛋白,以逃避CRISPR-Cas介导的免疫。抗CRISPR蛋白在能够潜伏于携带CRISPR的宿主中的噬菌体中普遍存在,而它们的直系同源物则常见于烈性噬菌体中。在此,我们提出一种祖先序列重建(ASR)的概率策略和隐马尔可夫模型(HMM)轮廓搜索,以从环境宏基因组、人类微生物组宏基因组、人类微生物组参考基因组和NCBI的非冗余数据库中筛选出抗CRISPR蛋白的序列。我们的结果表明,宏基因组数据库中的暗物质可能包含抗CRISPR编码基因。