Optimal number of spacers in CRISPR arrays

被引:29
作者
Martynov, Alexander [1 ]
Severinov, Konstantin [1 ,2 ,3 ]
Ispolatov, Iaroslav [4 ]
机构
[1] Skolkovo Inst Sci & Technol, Ctr Data Intens Biomed & Biotechnol, Moscow, Russia
[2] Rutgers State Univ, Waksman Inst Microbiol, Piscataway, NJ USA
[3] Russian Acad Sci, Inst Mol Genet, Moscow, Russia
[4] Univ Santiago Chile, Dept Phys, Santiago, Chile
基金
俄罗斯科学基金会;
关键词
HORIZONTAL GENE-TRANSFER; IMMUNE-SYSTEM; CAS; RNA; TRANSCRIPTION; CLASSIFICATION; INTERFERENCE; ACQUISITION; DIVERSITY; EVOLUTION;
D O I
10.1371/journal.pcbi.1005891
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Prokaryotic organisms survive under constant pressure of viruses. CRISPR-Cas system provides its prokaryotic host with an adaptive immune defense against viruses that have been previously encountered. It consists of two components: Cas-proteins that cleave the foreign DNA and CRISPR array that suits as a virus recognition key. CRISPR array consists of a series of spacers, short pieces of DNA that originate from and match the corresponding parts of viral DNA called protospacers. Here we estimate the number of spacers in a CRISPR array of a prokaryotic cell which maximizes its protection against a viral attack. The optimality follows from a competition between two trends: too few distinct spacers make host vulnerable to an attack by a virus with mutated corresponding protospacers, while an excessive variety of spacers dilutes the number of the CRISPR complexes armed with the most recent and thus most useful spacers. We first evaluate the optimal number of spacers in a simple scenario of an infection by a single viral species and later consider a more general case of multiple viral species. We find that depending on such parameters as the concentration of CRISPR-Cas interference complexes and its preference to arm with more recently acquired spacers, the rate of viral mutation, and the number of viral species, the predicted optimal number of spacers lies within a range that agrees with experimentally-observed values.
引用
收藏
页数:23
相关论文
共 57 条
  • [1] Transcription Profile of Thermus thermophilus CRISPR Systems after Phage Infection
    Agari, Yoshihiro
    Sakamoto, Keiko
    Tamakoshi, Masatada
    Oshima, Tairo
    Kuramitsu, Seiki
    Shinkai, Akeo
    [J]. JOURNAL OF MOLECULAR BIOLOGY, 2010, 395 (02) : 270 - 281
  • [2] CRISPR provides acquired resistance against viruses in prokaryotes
    Barrangou, Rodolphe
    Fremaux, Christophe
    Deveau, Helene
    Richards, Melissa
    Boyaval, Patrick
    Moineau, Sylvain
    Romero, Dennis A.
    Horvath, Philippe
    [J]. SCIENCE, 2007, 315 (5819) : 1709 - 1712
  • [3] Pseudo-chaotic oscillations in CRISPR-virus coevolution predicted by bifurcation analysis
    Berezovskaya, Faina S.
    Wolf, Yuri I.
    Koonin, Eugene V.
    Karev, Georgy P.
    [J]. BIOLOGY DIRECT, 2014, 9
  • [4] Clustered regularly interspaced short palindrome repeats (CRISPRs) have spacers of extrachromosomal origin
    Bolotin, A
    Ouinquis, B
    Sorokin, A
    Ehrlich, SD
    [J]. MICROBIOLOGY-SGM, 2005, 151 : 2551 - 2561
  • [5] To acquire or resist: the complex biological effects of CRISPR-Cas systems
    Bondy-Denomy, Joseph
    Davidson, Alan R.
    [J]. TRENDS IN MICROBIOLOGY, 2014, 22 (04) : 218 - 225
  • [6] Dynamics of adaptive immunity against phage in bacterial populations
    Bradde, Serena
    Vucelja, Marija
    Tesileanu, Tiberiu
    Balasubramanian, Vijay
    [J]. PLOS COMPUTATIONAL BIOLOGY, 2017, 13 (04)
  • [7] Small CRISPR RNAs guide antiviral defense in prokaryotes
    Brouns, Stan J. J.
    Jore, Matthijs M.
    Lundgren, Magnus
    Westra, Edze R.
    Slijkhuis, Rik J. H.
    Snijders, Ambrosius P. L.
    Dickman, Mark J.
    Makarova, Kira S.
    Koonin, Eugene V.
    van der Oost, John
    [J]. SCIENCE, 2008, 321 (5891) : 960 - 964
  • [8] MULTISCALE MODEL OF CRISPR-INDUCED COEVOLUTIONARY DYNAMICS: DIVERSIFICATION AT THE INTERFACE OF LAMARCK AND DARWIN
    Childs, Lauren M.
    Held, Nicole L.
    Young, Mark J.
    Whitaker, Rachel J.
    Weitz, Joshua S.
    [J]. EVOLUTION, 2012, 66 (07) : 2015 - 2029
  • [9] Classification and evolution of type II CRISPR-Cas systems
    Chylinski, Krzysztof
    Makarova, Kira S.
    Charpentier, Emmanuelle
    Koonin, Eugene V.
    [J]. NUCLEIC ACIDS RESEARCH, 2014, 42 (10) : 6091 - 6105
  • [10] Modulation of CRISPR locus transcription by the repeat-binding protein Cbp1 in Sulfolobus
    Deng, Ling
    Kenchappa, Chandra S.
    Peng, Xu
    She, Qunxin
    Garrett, Roger A.
    [J]. NUCLEIC ACIDS RESEARCH, 2012, 40 (06) : 2470 - 2480