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本文引用的文献

1
CRISPR-induced distributed immunity in microbial populations.CRISPR诱导的微生物群体中的分布式免疫
PLoS One. 2014 Jul 7;9(7):e101710. doi: 10.1371/journal.pone.0101710. eCollection 2014.
2
Pseudo-chaotic oscillations in CRISPR-virus coevolution predicted by bifurcation analysis.分支分析预测的 CRISPR-病毒共进化中的拟混沌振荡。
Biol Direct. 2014 Jul 2;9:13. doi: 10.1186/1745-6150-9-13.
3
Do all creatures possess an acquired immune system of some sort?所有生物都拥有某种形式的后天免疫系统吗?
Bioessays. 2014 Mar;36(3):273-81. doi: 10.1002/bies.201300124. Epub 2014 Jan 14.
4
Horizontal gene transfer can rescue prokaryotes from Muller's ratchet: benefit of DNA from dead cells and population subdivision.水平基因转移可使原核生物摆脱穆勒棘轮效应:来自死细胞的DNA及种群细分的益处。
G3 (Bethesda). 2014 Feb 19;4(2):325-39. doi: 10.1534/g3.113.009845.
5
Evolutionary causes and consequences of diversified CRISPR immune profiles in natural populations.自然种群中多样化的 CRISPR 免疫特征的进化原因和后果。
Biochem Soc Trans. 2013 Dec;41(6):1431-6. doi: 10.1042/BST20130243.
6
Dealing with the evolutionary downside of CRISPR immunity: bacteria and beneficial plasmids.应对 CRISPR 免疫的进化劣势:细菌和有益质粒。
PLoS Genet. 2013;9(9):e1003844. doi: 10.1371/journal.pgen.1003844. Epub 2013 Sep 26.
7
Evolutionary dynamics of the prokaryotic adaptive immunity system CRISPR-Cas in an explicit ecological context.在明确的生态背景下,原核适应性免疫防御系统 CRISPR-Cas 的进化动态。
J Bacteriol. 2013 Sep;195(17):3834-44. doi: 10.1128/JB.00412-13. Epub 2013 Jun 21.
8
The population and evolutionary dynamics of phage and bacteria with CRISPR-mediated immunity.CRISPR 介导免疫的噬菌体和细菌的种群和进化动态。
PLoS Genet. 2013;9(3):e1003312. doi: 10.1371/journal.pgen.1003312. Epub 2013 Mar 14.
9
Modeling bacterial immune systems: strategies for expression of toxic - but useful - molecules.模拟细菌免疫系统:表达有毒但有用分子的策略。
Biosystems. 2013 May;112(2):139-44. doi: 10.1016/j.biosystems.2013.03.004. Epub 2013 Mar 7.
10
Physical model of the immune response of bacteria against bacteriophage through the adaptive CRISPR-Cas immune system.通过适应性 CRISPR-Cas 免疫系统研究细菌对噬菌体免疫反应的物理模型。
Phys Biol. 2013 Apr;10(2):025004. doi: 10.1088/1478-3975/10/2/025004. Epub 2013 Mar 15.

原核生物中CRISPR-Cas适应性免疫系统的进化:病毒-宿主共同进化的模型与观察

Evolution of the CRISPR-Cas adaptive immunity systems in prokaryotes: models and observations on virus-host coevolution.

作者信息

Koonin Eugene V, Wolf Yuri I

机构信息

National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA.

出版信息

Mol Biosyst. 2015 Jan;11(1):20-7. doi: 10.1039/c4mb00438h. Epub 2014 Sep 19.

DOI:10.1039/c4mb00438h
PMID:25238531
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5875448/
Abstract

CRISPR-Cas is an adaptive immunity system in prokaryotes that functions via a unique mechanism which involves incorporation of foreign DNA fragments into CRISPR arrays and subsequent utilization of transcripts of these inserts (known as spacers) as guide RNAs to cleave the cognate selfish element genome. Multiple attempts have been undertaken to explore the coevolution of viruses and microbial hosts carrying CRISPR-Cas using mathematical models that employ either systems of differential equations or an agent-based approach, or combinations thereof. Analysis of these models reveals highly complex co-evolutionary dynamics that ensues from the combination of the heritability of the CRISPR-mediated adaptive immunity with the existence of different degrees of immunity depending on the number of cognate spacers and the cost of carrying a CRISPR-Cas locus. Depending on the details of the models, a variety of testable, sometimes conflicting predictions have been made on the dependence of the degree of immunity and the benefit of maintaining CRISPR-Cas on the abundance and diversity of hosts and viruses. Some of these predictions have already been directly validated experimentally. In particular, both the reality of the virus-host arms race, with viruses escaping resistance and hosts reacquiring it through the capture of new spacers, and the fitness cost of CRISPR-Cas due to the curtailment of beneficial HGT have been reproduced in the laboratory. However, to test the predictions of the models more specifically, detailed studies of coevolving populations of microbes and viruses both in nature and in the laboratory are essential. Such analyses are expected to yield disagreements with the predictions of the current, oversimplified models and to trigger a new round of theoretical developments.

摘要

CRISPR-Cas是原核生物中的一种适应性免疫系统,其通过一种独特机制发挥作用,该机制包括将外源DNA片段整合到CRISPR阵列中,随后利用这些插入片段(称为间隔序列)的转录本作为引导RNA来切割同源自私元件基因组。人们已经多次尝试使用数学模型来探索携带CRISPR-Cas的病毒与微生物宿主的共同进化,这些模型采用微分方程系统、基于主体的方法或两者结合的方式。对这些模型的分析揭示了高度复杂的共同进化动态,这种动态源于CRISPR介导的适应性免疫的遗传性与不同程度免疫的存在(取决于同源间隔序列的数量)以及携带CRISPR-Cas位点的成本之间的结合。根据模型的细节,已经对免疫程度的依赖性以及维持CRISPR-Cas对宿主和病毒的丰度和多样性的益处做出了各种可测试的、有时相互矛盾的预测。其中一些预测已经通过实验直接得到验证。特别是,病毒-宿主军备竞赛的现实,即病毒逃避抗性而宿主通过捕获新的间隔序列重新获得抗性,以及由于有益水平基因转移的减少导致的CRISPR-Cas的适应性成本,都已在实验室中得到重现。然而,为了更具体地测试模型的预测,对自然环境和实验室中微生物与病毒共同进化种群的详细研究至关重要。预计此类分析将与当前过于简化的模型的预测产生分歧,并引发新一轮的理论发展。