Literature DB >> 28293232

Commentary: Type I CRISPR-Cas targets endogenous genes and regulates virulence to evade mammalian host immunity.

Hanna Müller-Esparza1, Lennart Randau1.   

Abstract

Entities:  

Keywords:  CRISPR; Cas proteins; Cascade; RNA interference; ribonucleoprotein

Year:  2017        PMID: 28293232      PMCID: PMC5328992          DOI: 10.3389/fmicb.2017.00319

Source DB:  PubMed          Journal:  Front Microbiol        ISSN: 1664-302X            Impact factor:   5.640


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Type-I CRISPR-Cas systems are abundant antiviral defense systems of bacteria and archaea. The hallmark sequences of these systems are short CRISPR RNAs (crRNAs) that contain spacer sequences which guide an interference complex termed Cascade (CRISPR-associated complex for antiviral defense) toward their viral DNA target (van der Oost et al., 2014). In the recent years, several subtypes of this Type I CRISPR-Cas system have been studied in detail and all interference complexes share a central crRNA whose spacer is protected by a multi-subunit filament of Cas7 (Csy3) backbone proteins (Gleditzsch et al., 2016). The termini of the CRISPR RNA are capped by Cas5 (Csy2) and Cas6 proteins and additional large and small subunits can mediate interactions with the target DNA, i.e., the protospacer and the protospacer-adjacent motif (PAM). The crRNA spacer is used to scan DNA for complementary bases and the large subunit identifies PAM sequences to achieve self- versus non-self-discrimination and to avoid self-targeting. Finally, Cascade complexes recruit a helicase/nuclease, termed Cas3, to degrade identified DNAs (Hochstrasser et al., 2014). In a recent study in Cell Research (Li et al., 2016), Li et al., highlight a surprising deviation from these established concepts and show self-targeting of the lasR mRNA based on only nine nucleotide complementarity between the CRISPR RNA and the target mRNA, as well as the presence of a small “5′-GGN-3′” recognition motif. Earlier studies have indicated that Escherichia coli Type I-E Cascade can bind ssRNA in vitro (Jore et al., 2011) and that Cas3 can degrade ssRNA (Beloglazova et al., 2011). However, specific DNA targeting is considered to be essential for proper identification of foreign DNA elements while maintaining genome integrity. The described RNA targeting relies on a discrimination mechanism similar to the established DNA targeting pathway and suggests that a 5′-GGN-3′ PAM-like sequence must exist to mark the mRNA-target. However, a conventional PAM sequence in Type I-F Cascade prevents base pairing between the 8 nt 5′-repeat-tag of the crRNA and the DNA target (Rollins et al., 2015), while the identified PAM-like sequence in the lasR mRNA would prevent base pairing with the 3′-tag (Figure 1A). This implies that Cascade would have evolved a specific RNA target discrimination mechanism. The 3′-tag of a crRNA is bound by Cas6f in Type I-F systems. Thus, this protein would be in the vicinity of the PAM-like sequence, while Cas proteins involved in conventional PAM recognition are located at the opposite end of the Cascade complex (Figure 1A). Surprisingly, a very short 9 bp sequence downstream of the PAM-like sequence was sufficient for in vitro RNA cleavage by recombinant Cascade. Here, all nucleotides of this region were important, even though every 6th nucleotide is splayed out in the Type I-E Cascade structure at the Cas7 backbone filament junctions and was found not to be involved in base pairing with the target (Wiedenheft et al., 2011). Thus, both PAM-like sequence and mRNA target recognition clearly deviate from the mechanisms established for conventional DNA recognition by Cascade.
Figure 1

RNA targeting by Type I-F Cascade (A) Schematic representation of a Type I-F Cascade complex with bound DNA. The approximate location of the PAM near the large subunit (LSU, Csy1) is indicated. The reported target mRNA would bind at the opposite end of Cascade (near Cas7.6 and Cas6f). (B) The number of targets for each Pseudomonas aeruginosa strain UCBPP-PA14 spacer (5′-GGN-3′ followed by nine base-pair complementarity) in the genome (total targets) and transcriptome (mRNA targets) is indicated.

RNA targeting by Type I-F Cascade (A) Schematic representation of a Type I-F Cascade complex with bound DNA. The approximate location of the PAM near the large subunit (LSU, Csy1) is indicated. The reported target mRNA would bind at the opposite end of Cascade (near Cas7.6 and Cas6f). (B) The number of targets for each Pseudomonas aeruginosa strain UCBPP-PA14 spacer (5′-GGN-3′ followed by nine base-pair complementarity) in the genome (total targets) and transcriptome (mRNA targets) is indicated. The authors did not investigate the impact of this non-stringent mRNA targeting mechanism on the global bacterial RNA metabolism. Therefore, we screened all CRISPR spacers of the two CRISPR systems of Pseudomonas aeruginosa strain UCBPP-PA14 for possible crRNA-mRNA interactions. A 5′-GGN-3′ sequence, followed by 12 or 9 bp complementarity, were considered to be requirements for potential interactions. In total, 11 genomic targets were obtained for 12 nt spacer matches. Five of these hits are located on mRNAs, while only one hit is located in a non-coding region. Next, we reduced the number of required continuous base pairs to nine nucleotides as suggested for the described Type I-F Cascade in vitro lasR mRNA decay activity. With these parameters, the crRNAs would potentially target 422 host genome regions, of which 31 (7.3%) are located in intergenic regions and 391 (92.7%) are present in coding regions (Figure 1B). The sense strand (i.e., the mRNA) is targeted for 189 of the 391 genes (48.3%). In conclusion, there does not appear to be a selection against mRNA targeting. The existence of this large number of potential targets suggests two possible scenarios. First, CRISPR-Cas systems could play a major role in regulating the abundance of individual mRNAs and shape bacterial transcriptomes. Alternatively, the observed RNA targeting of the lasR mRNA might be an exceptional occurrence and cells would need to have evolved protection mechanisms against off-target mRNA degradation. A global analysis of transcriptome changes upon CRISPR-Cas induction and/or deletion would be necessary to be able to differentiate between these possibilities.

Author contributions

LR wrote the manuscript. LR and HM analyzed crRNA targets.

Funding

Funding by the DFG (FOR1680) is acknowledged.

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
  8 in total

1.  Structure and activity of the Cas3 HD nuclease MJ0384, an effector enzyme of the CRISPR interference.

Authors:  Natalia Beloglazova; Pierre Petit; Robert Flick; Greg Brown; Alexei Savchenko; Alexander F Yakunin
Journal:  EMBO J       Date:  2011-10-18       Impact factor: 11.598

2.  Mechanism of foreign DNA recognition by a CRISPR RNA-guided surveillance complex from Pseudomonas aeruginosa.

Authors:  MaryClare F Rollins; Jason T Schuman; Kirra Paulus; Habib S T Bukhari; Blake Wiedenheft
Journal:  Nucleic Acids Res       Date:  2015-02-27       Impact factor: 16.971

3.  Type I CRISPR-Cas targets endogenous genes and regulates virulence to evade mammalian host immunity.

Authors:  Rongpeng Li; Lizhu Fang; Shirui Tan; Min Yu; Xuefeng Li; Sisi He; Yuquan Wei; Guoping Li; Jianxin Jiang; Min Wu
Journal:  Cell Res       Date:  2016-11-18       Impact factor: 25.617

Review 4.  Unravelling the structural and mechanistic basis of CRISPR-Cas systems.

Authors:  John van der Oost; Edze R Westra; Ryan N Jackson; Blake Wiedenheft
Journal:  Nat Rev Microbiol       Date:  2014-06-09       Impact factor: 60.633

5.  CasA mediates Cas3-catalyzed target degradation during CRISPR RNA-guided interference.

Authors:  Megan L Hochstrasser; David W Taylor; Prashant Bhat; Chantal K Guegler; Samuel H Sternberg; Eva Nogales; Jennifer A Doudna
Journal:  Proc Natl Acad Sci U S A       Date:  2014-04-18       Impact factor: 11.205

6.  Structural basis for CRISPR RNA-guided DNA recognition by Cascade.

Authors:  Matthijs M Jore; Magnus Lundgren; Esther van Duijn; Jelle B Bultema; Edze R Westra; Sakharam P Waghmare; Blake Wiedenheft; Umit Pul; Reinhild Wurm; Rolf Wagner; Marieke R Beijer; Arjan Barendregt; Kaihong Zhou; Ambrosius P L Snijders; Mark J Dickman; Jennifer A Doudna; Egbert J Boekema; Albert J R Heck; John van der Oost; Stan J J Brouns
Journal:  Nat Struct Mol Biol       Date:  2011-04-03       Impact factor: 15.369

7.  Structures of the RNA-guided surveillance complex from a bacterial immune system.

Authors:  Blake Wiedenheft; Gabriel C Lander; Kaihong Zhou; Matthijs M Jore; Stan J J Brouns; John van der Oost; Jennifer A Doudna; Eva Nogales
Journal:  Nature       Date:  2011-09-21       Impact factor: 49.962

8.  Modulating the Cascade architecture of a minimal Type I-F CRISPR-Cas system.

Authors:  Daniel Gleditzsch; Hanna Müller-Esparza; Patrick Pausch; Kundan Sharma; Srivatsa Dwarakanath; Henning Urlaub; Gert Bange; Lennart Randau
Journal:  Nucleic Acids Res       Date:  2016-05-23       Impact factor: 16.971

  8 in total
  8 in total

1.  CRISPR RNA-Dependent Binding and Cleavage of Endogenous RNAs by the Campylobacter jejuni Cas9.

Authors:  Gaurav Dugar; Ryan T Leenay; Sara K Eisenbart; Thorsten Bischler; Belinda U Aul; Chase L Beisel; Cynthia M Sharma
Journal:  Mol Cell       Date:  2018-03-01       Impact factor: 17.970

Review 2.  Alternative functions of CRISPR-Cas systems in the evolutionary arms race.

Authors:  Prarthana Mohanraju; Chinmoy Saha; Peter van Baarlen; Rogier Louwen; Raymond H J Staals; John van der Oost
Journal:  Nat Rev Microbiol       Date:  2022-01-06       Impact factor: 60.633

Review 3.  CRISPR-Cas systems target endogenous genes to impact bacterial physiology and alter mammalian immune responses.

Authors:  Qun Wu; Luqing Cui; Yingying Liu; Rongpeng Li; Menghong Dai; Zhenwei Xia; Min Wu
Journal:  Mol Biomed       Date:  2022-07-20

4.  Determining the Specificity of Cascade Binding, Interference, and Primed Adaptation In Vivo in the Escherichia coli Type I-E CRISPR-Cas System.

Authors:  Lauren A Cooper; Anne M Stringer; Joseph T Wade
Journal:  MBio       Date:  2018-04-17       Impact factor: 7.867

5.  CdpR Inhibits CRISPR-Cas Adaptive Immunity to Lower Anti-viral Defense while Avoiding Self-Reactivity.

Authors:  Ping Lin; Qinqin Pu; Guanwang Shen; Rongpeng Li; Kai Guo; Chuanmin Zhou; Haihua Liang; Jianxin Jiang; Min Wu
Journal:  iScience       Date:  2019-02-15

Review 6.  CRISPR-Cas Systems and the Paradox of Self-Targeting Spacers.

Authors:  Franziska Wimmer; Chase L Beisel
Journal:  Front Microbiol       Date:  2020-01-22       Impact factor: 5.640

Review 7.  Digging into the lesser-known aspects of CRISPR biology.

Authors:  Noemí M Guzmán; Belén Esquerra-Ruvira; Francisco J M Mojica
Journal:  Int Microbiol       Date:  2021-09-06       Impact factor: 2.479

8.  Identification of RNAs bound by Hfq reveals widespread RNA partners and a sporulation regulator in the human pathogen Clostridioides difficile.

Authors:  Pierre Boudry; Emma Piattelli; Emilie Drouineau; Johann Peltier; Anaïs Boutserin; Maxence Lejars; Eliane Hajnsdorf; Marc Monot; Bruno Dupuy; Isabelle Martin-Verstraete; Daniel Gautheret; Claire Toffano-Nioche; Olga Soutourina
Journal:  RNA Biol       Date:  2021-02-25       Impact factor: 4.652

  8 in total

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