Delaware Biotechnology Institute, University of Delaware, Newark, Delaware, USA.
Delaware Biotechnology Institute, University of Delaware, Newark, Delaware, USA
mBio. 2019 Mar 5;10(2):e02651-18. doi: 10.1128/mBio.02651-18.
Viral infection exerts selection pressure on marine microbes, as virus-induced cell lysis causes 20 to 50% of cell mortality, resulting in fluxes of biomass into oceanic dissolved organic matter. Archaeal and bacterial populations can defend against viral infection using the clustered regularly interspaced short palindromic repeat (CRISPR)-associated (Cas) system, which relies on specific matching between a spacer sequence and a viral gene. If a CRISPR spacer match to any gene within a viral genome is equally effective in preventing lysis, no viral genes should be preferentially matched by CRISPR spacers. However, if there are differences in effectiveness, certain viral genes may demonstrate a greater frequency of CRISPR spacer matches. Indeed, homology search analyses of bacterioplankton CRISPR spacer sequences against virioplankton sequences revealed preferential matching of replication proteins, nucleic acid binding proteins, and viral structural proteins. Positive selection pressure for effective viral defense is one parsimonious explanation for these observations. CRISPR spacers from virioplankton metagenomes preferentially matched methyltransferase and phage integrase genes within virioplankton sequences. These virioplankton CRISPR spacers may assist infected host cells in defending against competing phage. Analyses also revealed that half of the spacer-matched viral genes were unknown, some genes matched several spacers, and some spacers matched multiple genes, a many-to-many relationship. Thus, CRISPR spacer matching may be an evolutionary algorithm, agnostically identifying those genes under stringent selection pressure for sustaining viral infection and lysis. Investigating this subset of viral genes could reveal those genetic mechanisms essential to virus-host interactions and provide new technologies for optimizing CRISPR defense in beneficial microbes. The CRISPR-Cas system is one means by which bacterial and archaeal populations defend against viral infection which causes 20 to 50% of cell mortality in the ocean. We tested the hypothesis that certain viral genes are preferentially targeted for the initial attack of the CRISPR-Cas system on a viral genome. Using CASC, a pipeline for CRISPR spacer discovery, and metagenome data from oceanic microbes and viruses, we found a clear subset of viral genes with high match frequencies to CRISPR spacers. Moreover, we observed a many-to-many relationship of spacers and viral genes. These high-match viral genes were involved in nucleotide metabolism, DNA methylation, and viral structure. It is possible that CRISPR spacer matching is an evolutionary algorithm pointing to those viral genes most important to sustaining infection and lysis. Studying these genes may advance the understanding of virus-host interactions in nature and provide new technologies for leveraging CRISPR-Cas systems in beneficial microbes.
病毒感染对海洋微生物施加选择压力,因为病毒诱导的细胞裂解导致 20%至 50%的细胞死亡,从而导致生物量流入海洋溶解有机物质。古菌和细菌种群可以使用簇状规律间隔短回文重复 (CRISPR)-相关 (Cas) 系统来防御病毒感染,该系统依赖于间隔序列与病毒基因之间的特定匹配。如果 CRISPR 间隔序列与病毒基因组中的任何基因匹配同样有效地阻止裂解,则不应优先通过 CRISPR 间隔序列匹配任何病毒基因。然而,如果存在效果上的差异,某些病毒基因可能会表现出更高频率的 CRISPR 间隔序列匹配。事实上,针对病毒浮游生物序列对细菌浮游生物 CRISPR 间隔序列进行同源搜索分析表明,复制蛋白、核酸结合蛋白和病毒结构蛋白的匹配具有优先性。针对有效病毒防御的正向选择压力是对这些观察结果的一种合理解释。来自病毒浮游生物宏基因组的 CRISPR 间隔序列优先匹配病毒浮游生物序列中的甲基转移酶和噬菌体整合酶基因。这些病毒浮游生物的 CRISPR 间隔序列可能有助于受感染的宿主细胞抵御竞争噬菌体。分析还表明,一半的间隔匹配病毒基因是未知的,一些基因匹配多个间隔序列,一些间隔序列匹配多个基因,这是一种多对多的关系。因此,CRISPR 间隔序列匹配可能是一种进化算法,可以盲目识别那些在维持病毒感染和裂解方面受到严格选择压力的基因。研究这些病毒基因子集可以揭示对病毒-宿主相互作用至关重要的遗传机制,并为优化有益微生物中的 CRISPR 防御提供新技术。CRISPR-Cas 系统是细菌和古菌种群抵御病毒感染的一种方式,这种感染会导致海洋中 20%至 50%的细胞死亡。我们测试了这样一个假设,即某些病毒基因是 CRISPR-Cas 系统对病毒基因组进行初始攻击的优先目标。使用 CASC,一种用于 CRISPR 间隔序列发现的管道,以及来自海洋微生物和病毒的宏基因组数据,我们发现了一个具有高匹配频率的明确的病毒基因子集。此外,我们观察到了间隔序列和病毒基因的多对多关系。这些高匹配病毒基因参与核苷酸代谢、DNA 甲基化和病毒结构。可能是 CRISPR 间隔序列匹配是一种进化算法,指向那些对维持感染和裂解最重要的病毒基因。研究这些基因可能有助于深入了解自然界中的病毒-宿主相互作用,并为利用有益微生物中的 CRISPR-Cas 系统提供新技术。