Programmable RNA targeting by bacterial Argonaute nucleases with unconventional guide binding and cleavage specificity.


Journal

Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555

Informations de publication

Date de publication:
08 08 2022
Historique:
received: 14 06 2022
accepted: 15 07 2022
entrez: 8 8 2022
pubmed: 9 8 2022
medline: 11 8 2022
Statut: epublish

Résumé

Argonaute proteins are programmable nucleases that have defense and regulatory functions in both eukaryotes and prokaryotes. All known prokaryotic Argonautes (pAgos) characterized so far act on DNA targets. Here, we describe a new class of pAgos that uniquely use DNA guides to process RNA targets. The biochemical and structural analysis of Pseudooceanicola lipolyticus pAgo (PliAgo) reveals an unusual organization of the guide binding pocket that does not rely on divalent cations and the canonical set of contacts for 5'-end interactions. Unconventional interactions of PliAgo with the 5'-phosphate of guide DNA define its new position within pAgo and shift the site of target RNA cleavage in comparison with known Argonautes. The specificity for RNA over DNA is defined by ribonucleotide residues at the cleavage site. The analysed pAgos sense mismatches and modifications in the RNA target. The results broaden our understanding of prokaryotic defense systems and extend the spectrum of programmable nucleases with potential use in RNA technology.

Identifiants

pubmed: 35941106
doi: 10.1038/s41467-022-32079-5
pii: 10.1038/s41467-022-32079-5
pmc: PMC9360449
doi:

Substances chimiques

Argonaute Proteins 0
Bacterial Proteins 0
RNA, Guide 0
RNA 63231-63-0
DNA 9007-49-2
Endonucleases EC 3.1.-

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

4624

Subventions

Organisme : NIGMS NIH HHS
ID : R35 GM131860
Pays : United States

Commentaires et corrections

Type : ErratumIn

Informations de copyright

© 2022. The Author(s).

Références

Koonin, E. V. Evolution of RNA- and DNA-guided antivirus defense systems in prokaryotes and eukaryotes: common ancestry vs convergence. Biol. Direct 12, 5 (2017).
pubmed: 28187792 pmcid: 5303251 doi: 10.1186/s13062-017-0177-2
Makarova, K. S., Wolf, Y. I., van der Oost, J. & Koonin, E. V. Prokaryotic homologs of Argonaute proteins are predicted to function as key components of a novel system of defense against mobile genetic elements. Biol. Direct 4, 29 (2009).
pubmed: 19706170 pmcid: 2743648 doi: 10.1186/1745-6150-4-29
Lisitskaya, L., Aravin, A. A. & Kulbachinskiy, A. DNA interference and beyond: structure and functions of prokaryotic Argonaute proteins. Nat. Commun. 9, 5165 (2018).
pubmed: 30514832 pmcid: 6279821 doi: 10.1038/s41467-018-07449-7
Dimitriu, T., Szczelkun, M. D. & Westra, E. R. Evolutionary ecology and interplay of prokaryotic innate and adaptive immune systems. Curr. Biol. 30, R1189–R1202 (2020).
pubmed: 33022264 pmcid: 7116224 doi: 10.1016/j.cub.2020.08.028
Nussenzweig, P. M. & Marraffini, L. A. Molecular mechanisms of CRISPR-Cas immunity in bacteria. Annu. Rev. Genet. 54, 93–120 (2020).
pubmed: 32857635 doi: 10.1146/annurev-genet-022120-112523
Makarova, K. S. et al. Evolutionary classification of CRISPR-Cas systems: a burst of class 2 and derived variants. Nat. Rev. Microbiol. 18, 67–83 (2020).
pubmed: 31857715 doi: 10.1038/s41579-019-0299-x
Joshua-Tor, L. & Hannon, G. J. Ancestral roles of small RNAs: an Ago-centric perspective. Cold Spring Harb. Perspect. Biol. 3, a003772 (2011).
pubmed: 20810548 pmcid: 3179341 doi: 10.1101/cshperspect.a003772
Olina, A. V., Kulbachinskiy, A. V., Aravin, A. A. & Esyunina, D. M. Argonaute proteins and mechanisms of RNA interference in eukaryotes and prokaryotes. Biochemistry (Mosc) 83, 483–497 (2018).
doi: 10.1134/S0006297918050024
Ozata, D. M., Gainetdinov, I., Zoch, A., O’Carroll, D. & Zamore, P. D. PIWI-interacting RNAs: small RNAs with big functions. Nat. Rev. Genet. 20, 89–108 (2019).
pubmed: 30446728 doi: 10.1038/s41576-018-0073-3
van Rij, R. P. & Berezikov, E. Small RNAs and the control of transposons and viruses in Drosophila. Trends Microbiol. 17, 163–171 (2009).
pubmed: 19299135 doi: 10.1016/j.tim.2009.01.003
Hegge, J. W., Swarts, D. C. & van der Oost, J. Prokaryotic Argonaute proteins: novel genome-editing tools? Nat. Rev. Microbiol. 16, 5–11 (2017).
pubmed: 28736447 doi: 10.1038/nrmicro.2017.73
Kuzmenko, A., Yudin, D., Ryazansky, S., Kulbachinskiy, A. & Aravin, A. A. Programmable DNA cleavage by Ago nucleases from mesophilic bacteria Clostridium butyricum and Limnothrix rosea. Nucleic Acids Res 47, 5822–5836 (2019).
pubmed: 31114878 pmcid: 6582412 doi: 10.1093/nar/gkz379
Olina, A. et al. Genome-wide DNA sampling by Ago nuclease from the cyanobacterium Synechococcus elongatus. RNA Biol, 1–12 (2020).
Sheng, G. et al. Structure-based cleavage mechanism of Thermus thermophilus Argonaute DNA guide strand-mediated DNA target cleavage. Proc Natl Acad Sci USA 111, 652–657 (2014).
pubmed: 24374628 doi: 10.1073/pnas.1321032111
Swarts, D. C. et al. Argonaute of the archaeon Pyrococcus furiosus is a DNA-guided nuclease that targets cognate DNA. Nucleic Acids Res. 43, 5120–5129 (2015).
pubmed: 25925567 pmcid: 4446448 doi: 10.1093/nar/gkv415
Swarts, D. C. et al. DNA-guided DNA interference by a prokaryotic Argonaute. Nature 507, 258–261 (2014).
pubmed: 24531762 pmcid: 4697943 doi: 10.1038/nature12971
Willkomm, S. et al. Structural and mechanistic insights into an archaeal DNA-guided Argonaute protein. Nat. Microbiol. 2, 17035 (2017).
pubmed: 28319084 doi: 10.1038/nmicrobiol.2017.35
Zander, A. et al. Guide-independent DNA cleavage by archaeal Argonaute from Methanocaldococcus jannaschii. Nat. Microbiol. 2, 17034 (2017).
pubmed: 28319081 doi: 10.1038/nmicrobiol.2017.34
Kropocheva, E., Kuzmenko, A., Aravin, A. A., Esyunina, D. & Kulbachinskiy, A. A programmable pAgo nuclease with universal guide and target specificity from the mesophilic bacterium Kurthia massiliensis. Nucleic Acids Res. 49, 4054–4065 (2021).
pubmed: 33744962 pmcid: 8053121 doi: 10.1093/nar/gkab182
Liu, Y. et al. A programmable omnipotent Argonaute nuclease from mesophilic bacteria Kurthia massiliensis. Nucleic Acids Res. 49, 1597–1608 (2021).
pubmed: 33444443 pmcid: 7897485 doi: 10.1093/nar/gkaa1278
Kaya, E. et al. A bacterial Argonaute with noncanonical guide RNA specificity. Proc. Natl Acad. Sci. USA 113, 4057–4062 (2016).
pubmed: 27035975 pmcid: 4839417 doi: 10.1073/pnas.1524385113
Ryazansky, S., Kulbachinskiy, A. & Aravin, A. A. The expanded universe of prokaryotic argonaute proteins. MBio 9, e01935–18 (2018).
pubmed: 30563906 pmcid: 6299218 doi: 10.1128/mBio.01935-18
Lapinaite, A., Doudna, J. A. & Cate, J. H. D. Programmable RNA recognition using a CRISPR-associated Argonaute. Proc. Natl Acad. Sci. USA 115, 3368–3373 (2018).
pubmed: 29531059 pmcid: 5879674 doi: 10.1073/pnas.1717725115
Wang, Y. et al. Structure of an argonaute silencing complex with a seed-containing guide DNA and target RNA duplex. Nature 456, 921–926 (2008).
pubmed: 19092929 pmcid: 2765400 doi: 10.1038/nature07666
Wang, Y. et al. Nucleation, propagation and cleavage of target RNAs in Ago silencing complexes. Nature 461, 754–761 (2009).
pubmed: 19812667 pmcid: 2880917 doi: 10.1038/nature08434
Kuzmenko, A. et al. DNA targeting and interference by a bacterial Argonaute nuclease. Nature 587, 632–637 (2020).
pubmed: 32731256 doi: 10.1038/s41586-020-2605-1
Olovnikov, I., Chan, K., Sachidanandam, R., Newman, D. K. & Aravin, A. A. Bacterial argonaute samples the transcriptome to identify foreign DNA. Mol. Cell 51, 594–605 (2013).
pubmed: 24034694 doi: 10.1016/j.molcel.2013.08.014
Ivancic-Bace, I., Cass, S. D., Wearne, S. J. & Bolt, E. L. Different genome stability proteins underpin primed and naive adaptation in E. coli CRISPR-Cas immunity. Nucleic Acids Res. 43, 10821–30 (2015).
pubmed: 26578567 pmcid: 4678826 doi: 10.1093/nar/gkv1213
Levy, A. et al. CRISPR adaptation biases explain preference for acquisition of foreign DNA. Nature 520, 505–510 (2015).
pubmed: 25874675 pmcid: 4561520 doi: 10.1038/nature14302
Modell, J. W., Jiang, W. & Marraffini, L. A. CRISPR-Cas systems exploit viral DNA injection to establish and maintain adaptive immunity. Nature 544, 101–104 (2017).
pubmed: 28355179 pmcid: 5540373 doi: 10.1038/nature21719
Swarts, D. C. et al. The evolutionary journey of Argonaute proteins. Nat. Struct. Mol. Biol. 21, 743–753 (2014).
pubmed: 25192263 pmcid: 4691850 doi: 10.1038/nsmb.2879
Wang, Y., Sheng, G., Juranek, S., Tuschl, T. & Patel, D. J. Structure of the guide-strand-containing argonaute silencing complex. Nature 456, 209–213 (2008).
pubmed: 18754009 pmcid: 4689319 doi: 10.1038/nature07315
Matsumoto, N. et al. Crystal Structure of Silkworm PIWI-Clade Argonaute Siwi Bound to piRNA. Cell 167, 484–497 (2016).
pubmed: 27693359 doi: 10.1016/j.cell.2016.09.002
Doxzen, K. W. & Doudna, J. A. DNA recognition by an RNA-guided bacterial Argonaute. PLoS ONE 12, e0177097 (2017).
pubmed: 28520746 pmcid: 5435312 doi: 10.1371/journal.pone.0177097
Zander, A., Holzmeister, P., Klose, D., Tinnefeld, P. & Grohmann, D. Single-molecule FRET supports the two-state model of Argonaute action. RNA Biol. 11, 45–56 (2014).
pubmed: 24442234 doi: 10.4161/rna.27446
Willkomm, S., Makarova, K. & Grohmann, D. DNA-silencing by prokaryotic Argonaute proteins adds a new layer of defence against invading nucleic acids. FEMS Microbiol. Rev. 42, 376–387 (2018).
pubmed: 29579258 pmcid: 5995195 doi: 10.1093/femsre/fuy010
Jolly, S. M. et al. Thermus thermophilus argonaute functions in the completion of DNA replication. Cell 182, 1545–1559 e18 (2020).
pubmed: 32846159 pmcid: 7502556 doi: 10.1016/j.cell.2020.07.036
Swarts, D. C. et al. Autonomous generation and loading of DNA guides by bacterial argonaute. Mol. Cell 65, 985–998 (2017).
pubmed: 28262506 pmcid: 5779613 doi: 10.1016/j.molcel.2017.01.033
Cao, Y. et al. Argonaute proteins from human gastrointestinal bacteria catalyze DNA-guided cleavage of single- and double-stranded DNA at 37 degrees C. Cell Discov. 5, 38 (2019).
pubmed: 31636952 pmcid: 6796838 doi: 10.1038/s41421-019-0105-y
Hegge, J. W. et al. DNA-guided DNA cleavage at moderate temperatures by Clostridium butyricum Argonaute. Nucleic Acids Res. 47, 5809–5821 (2019).
pubmed: 31069393 pmcid: 6582352 doi: 10.1093/nar/gkz306
Gottesman, M. E., Chudaev, M. & Mustaev, A. Key features of magnesium that underpin its role as the major ion for electrophilic biocatalysis. FEBS J. 287, 5439–5463 (2020).
pubmed: 32259346 doi: 10.1111/febs.15318
Elkayam, E. et al. The structure of human argonaute-2 in complex with miR-20a. Cell 150, 100–110 (2012).
pubmed: 22682761 pmcid: 3464090 doi: 10.1016/j.cell.2012.05.017
Liu, Y. et al. Accommodation of helical imperfections in Rhodobacter sphaeroides Argonaute ternary complexes with guide RNA and target DNA. Cell Reports 24, 453–462 (2018).
pubmed: 29996105 doi: 10.1016/j.celrep.2018.06.021
Miyoshi, T., Ito, K., Murakami, R. & Uchiumi, T. Structural basis for the recognition of guide RNA and target DNA heteroduplex by Argonaute. Nat Commun 7, 11846 (2016).
pubmed: 27325485 pmcid: 4919518 doi: 10.1038/ncomms11846
Schirle, N. T., Sheu-Gruttadauria, J. & MacRae, I. J. Structural basis for microRNA targeting. Science 346, 608–613 (2014).
pubmed: 25359968 pmcid: 4313529 doi: 10.1126/science.1258040
Anzelon, T. A. et al. Structural basis for piRNA targeting. Nature 597, 285–289 (2021).
pubmed: 34471284 pmcid: 9302021 doi: 10.1038/s41586-021-03856-x
Yamaguchi, S. et al. Crystal structure of Drosophila Piwi. Nat. Commun. 11, 858 (2020).
pubmed: 32051406 pmcid: 7015924 doi: 10.1038/s41467-020-14687-1
Manoharan, M. et al. Unique gene-silencing and structural properties of 2’-fluoro-modified siRNAs. Angew Chem. Int. Ed. Engl. 50, 2284–2288 (2011).
pubmed: 21351337 pmcid: 3516925 doi: 10.1002/anie.201006519
Forconi, M. et al. 2’-Fluoro substituents can mimic native 2’-hydroxyls within structured RNA. Chem. Biol. 18, 949–954 (2011).
pubmed: 21867910 pmcid: 3167488 doi: 10.1016/j.chembiol.2011.07.014
Gorski, S. A., Vogel, J. & Doudna, J. A. RNA-based recognition and targeting: sowing the seeds of specificity. Nat. Rev. Mol. Cell Biol. 18, 215–228 (2017).
pubmed: 28196981 doi: 10.1038/nrm.2016.174
Jiang, W. & Marraffini, L. A. CRISPR-cas: new tools for genetic manipulations from bacterial immunity systems. Annu. Rev. Microbiol. 69, 209–28 (2015).
pubmed: 26209264 doi: 10.1146/annurev-micro-091014-104441
Enghiad, B. & Zhao, H. Programmable DNA-guided artificial restriction enzymes. ACS Synth Biol 6, 752–757 (2017).
pubmed: 28165224 doi: 10.1021/acssynbio.6b00324
Filius, M. et al. High-speed super-resolution imaging using protein-assisted DNA-PAINT. Nano Lett 20, 2264–2270 (2020).
pubmed: 32168456 pmcid: 7146856 doi: 10.1021/acs.nanolett.9b04277
Lee SH, T. G. et al. Failure to detect DNA-guided genome editing using Natronobacterium gregoryi Argonaute. Nature Biotechnology 35, 17–18 (2017).
doi: 10.1038/nbt.3753
Sarkar, A. et al. Detecting the epitranscriptome. Wiley Interdiscip Rev RNA, e1663 (2021).
Meeske, A. J., Nakandakari-Higa, S. & Marraffini, L. A. Cas13-induced cellular dormancy prevents the rise of CRISPR-resistant bacteriophage. Nature 570, 241–245 (2019).
pubmed: 31142834 pmcid: 6570424 doi: 10.1038/s41586-019-1257-5
Li, W. et al. A programmable pAgo nuclease with RNA target preference from the psychrotolerant bacterium Mucilaginibacter paludis. Nucleic Acids Research 50, 5226–5238 (2022).
Doublie, S. Preparation of selenomethionyl proteins for phase determination. Methods Enzymol 276, 523–30 (1997).
pubmed: 27799112 doi: 10.1016/S0076-6879(97)76075-0
Connolly, B. A. et al. Assay of restriction endonucleases using oligonucleotides. Methods Mol Biol 148, 465–90 (2001).
pubmed: 11357606
Otwinowski, Z. & Minor, W. [20] Processing of X-ray diffraction data collected in oscillation mode. Methods Enzymol 276, 307–326 (1997).
pubmed: 27799103 doi: 10.1016/S0076-6879(97)76066-X
Afonine, P. V. et al. Joint X-ray and neutron refinement with phenix.refine. Acta Crystallogr. Sect. D Biol. Crystallogr. 66, 1153–63 (2010).
doi: 10.1107/S0907444910026582
Emsley, P. & Cowtan, K. Coot: model-building tools for molecular graphics. Acta Crystallogr. D Biol. Crystallogr. 60, 2126–32 (2004).
pubmed: 15572765 doi: 10.1107/S0907444904019158
Karplus, P. A. & Diederichs, K. Linking crystallographic model and data quality. Science 336, 1030–3 (2012).
pubmed: 22628654 pmcid: 3457925 doi: 10.1126/science.1218231

Auteurs

Lidiya Lisitskaya (L)

Institute of Molecular Genetics, National Research Center "Kurchatov Institute", Moscow, Russia.
Institute of Gene Biology, Russian Academy of Sciences, Moscow, Russia.

Yeonoh Shin (Y)

Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, USA.
Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY, USA.

Aleksei Agapov (A)

Institute of Molecular Genetics, National Research Center "Kurchatov Institute", Moscow, Russia.

Anna Olina (A)

Institute of Molecular Genetics, National Research Center "Kurchatov Institute", Moscow, Russia.

Ekaterina Kropocheva (E)

Institute of Molecular Genetics, National Research Center "Kurchatov Institute", Moscow, Russia.

Sergei Ryazansky (S)

Institute of Molecular Genetics, National Research Center "Kurchatov Institute", Moscow, Russia.

Alexei A Aravin (AA)

Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.

Daria Esyunina (D)

Institute of Molecular Genetics, National Research Center "Kurchatov Institute", Moscow, Russia.

Katsuhiko S Murakami (KS)

Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, USA. kum14@psu.edu.

Andrey Kulbachinskiy (A)

Institute of Molecular Genetics, National Research Center "Kurchatov Institute", Moscow, Russia. avkulb@yandex.ru.
Institute of Gene Biology, Russian Academy of Sciences, Moscow, Russia. avkulb@yandex.ru.

Articles similaires

Photosynthesis Ribulose-Bisphosphate Carboxylase Carbon Dioxide Molecular Dynamics Simulation Cyanobacteria
Populus Soil Microbiology Soil Microbiota Fungi
Aerosols Humans Decontamination Air Microbiology Masks
Coal Metagenome Phylogeny Bacteria Genome, Bacterial

Classifications MeSH