The DOI matches its Crossref record.
A Guild of 45 CRISPR-Associated (Cas) Protein Families and Multiple CRISPR/Cas Subtypes Exist in Prokaryotic Genomes
Open accessAbstract
Clustered regularly interspaced short palindromic repeats (CRISPRs) are a family of DNA direct repeats found in many prokaryotic genomes. Repeats of 21-37 bp typically show weak dyad symmetry and are separated by regularly sized, nonrepetitive spacer sequences. Four CRISPR-associated (Cas) protein families, designated Cas1 to Cas4, are strictly associated with CRISPR elements and always occur near a repeat cluster. Some spacers originate from mobile genetic elements and are thought to confer "immunity" against the elements that harbor these sequences. In the present study, we have systematically investigated uncharacterized proteins encoded in the vicinity of these CRISPRs and found many additional protein families that are strictly associated with CRISPR loci across multiple prokaryotic species. Multiple sequence alignments and hidden Markov models have been built for 45 Cas protein families. These models identify family members with high sensitivity and selectivity and classify key regulators of development, DevR and DevS, in Myxococcus xanthus as Cas proteins. These identifications show that CRISPR/cas gene regions can be quite large, with up to 20 different, tandem-arranged cas genes next to a repeat cluster or filling the region between two repeat clusters. Distinctive subsets of the collection of Cas proteins recur in phylogenetically distant species and correlate with characteristic repeat periodicity. The analyses presented here support initial proposals of mobility of these units, along with the likelihood that loci of different subtypes interact with one another as well as with host cell defensive, replicative, and regulatory systems. It is evident from this analysis that CRISPR/cas loci are larger, more complex, and more heterogeneous than previously appreciated.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
The new frontier of genome engineering with CRISPR-Cas9
Doudna, J. A., & Charpentier, E. (2014) · Science · doi:10.1126/science.1258096 · Cited by 7,062
Development and Applications of CRISPR-Cas9 for Genome Engineering
Hsu, P. D., Lander, E. S., & Zhang, F. (2014) · Cell · doi:10.1016/j.cell.2014.05.010 · Cited by 5,762
CRISPR Provides Acquired Resistance Against Viruses in Prokaryotes
Barrangou, R., Fremaux, C., Deveau, H., Richards, M., Boyaval, P., Moineau, S., Romero, D. A., & Horvath, P. (2007) · Science · doi:10.1126/science.1138140 · Cited by 5,947
CRISPR-Cas systems for editing, regulating and targeting genomes
Sander, J. D., & Joung, J. K. (2014) · Nature Biotechnology · doi:10.1038/nbt.2842 · Cited by 3,153
CRISPR RNA Maturation by Trans-Encoded Small RNA and Host Factor RNase III
Deltcheva, E., Chylinski, K., Sharma, C. M., Gonzales, K., Chao, Y., Pirzada, Z. A., Eckert, M. R., Vogel, J., & Charpentier, E. (2011) · Nature · doi:10.1038/nature09886 · Cited by 2,563
An updated evolutionary classification of CRISPR–Cas systems
Makarova, K. S., Wolf, Y. I., Alkhnbashi, O. S., Costa, F., Shah, S. A., Saunders, S. J., Barrangou, R., Brouns, S. J. J., Charpentier, E., Haft, D. H., et al. (2015) · Nature Reviews Microbiology · doi:10.1038/nrmicro3569 · Cited by 2,480
Self-citationSmall CRISPR RNAs Guide Antiviral Defense in Prokaryotes
Brouns, S. J. J., Jore, M. M., Lundgren, M., Westra, E. R., Slijkhuis, R. J. H., Snijders, A. P. L., Dickman, M. J., Makarova, K. S., Koonin, E. V., & van der Oost, J. (2008) · Science · doi:10.1126/science.1159689 · Cited by 2,460
RNA-guided editing of bacterial genomes using CRISPR-Cas systems
Jiang, W., Bikard, D., Cox, D., Zhang, F., & Marraffini, L. A. (2013) · Nature Biotechnology · doi:10.1038/nbt.2508 · Cited by 2,429
RNA-guided genetic silencing systems in bacteria and archaea
Wiedenheft, B., Sternberg, S. H., & Doudna, J. A. (2012) · Nature · doi:10.1038/nature10886 · Cited by 1,851
The CRISPR tool kit for genome editing and beyond
Adli, M. (2018) · Nature Communications · doi:10.1038/s41467-018-04252-2 · Cited by 1,545
Makarova, K. S., Grishin, N. V., Shabalina, S. A., Wolf, Y. I., & Koonin, E. V. (2006) · Biology Direct · doi:10.1186/1745-6150-1-7 · Cited by 1,199
RNA-Guided RNA Cleavage by a CRISPR RNA-Cas Protein Complex
Hale, C. R., Zhao, P., Olson, S., Duff, M. O., Graveley, B. R., Wells, L., Terns, R. M., & Terns, M. P. (2009) · Cell · doi:10.1016/j.cell.2009.07.040 · Cited by 1,031
CRISPR interference: RNA-directed adaptive immunity in bacteria and archaea
Marraffini, L. A., & Sontheimer, E. J. (2010) · Nature Reviews Genetics · doi:10.1038/nrg2749 · Cited by 919
CRISPR-Cas Systems in Bacteria and Archaea: Versatile Small RNAs for Adaptive Defense and Regulation
Bhaya, D., Davison, M., & Barrangou, R. (2011) · Annual Review of Genetics · doi:10.1146/annurev-genet-110410-132430 · Cited by 914
Grissa, I., Vergnaud, G., & Pourcel, C. (2007) · BMC Bioinformatics · doi:10.1186/1471-2105-8-172 · Cited by 888
Semenova, E., Jore, M. M., Datsenko, K. A., Semenova, A., Westra, E. R., Wanner, B., van der Oost, J., Brouns, S. J. J., & Severinov, K. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1104144108 · Cited by 726
CRISPR-mediated adaptive immune systems in bacteria and archaea
Sorek, R., Lawrence, C. M., & Wiedenheft, B. (2013) · Annual Review of Biochemistry · doi:10.1146/annurev-biochem-072911-172315 · Cited by 668
Classification and evolution of type II CRISPR-Cas systems
Chylinski, K., Makarova, K. S., Charpentier, E., & Koonin, E. V. (2014) · Nucleic Acids Research · doi:10.1093/nar/gku241 · Cited by 498
CRISPR-Cas: biology, mechanisms and relevance
Hille, F., & Charpentier, E. (2016) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2015.0496 · Cited by 442
O'Connell Motherway, M., Zomer, A., Leahy, S. C., Reunanen, J., Bottacini, F., Claesson, M. J., O'Brien, F., Flynn, K., Casey, P. G., Moreno Munoz, J. A., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1105380108 · Cited by 376
The tracrRNA and Cas9 families of type II CRISPR-Cas immunity systems
Chylinski, K., Le Rhun, A., & Charpentier, E. (2013) · RNA Biology · doi:10.4161/rna.24321 · Cited by 353
Fonfara, I., Le Rhun, A., Chylinski, K., Makarova, K. S., Lécrivain, A.-L., Bzdrenga, J., Koonin, E. V., & Charpentier, E. (2014) · Nucleic Acids Research · doi:10.1093/nar/gkt1074 · Cited by 328
CRISPR Ethics: Moral Considerations for Applications of a Powerful Tool
Brokowski, C., & Adli, M. (2019) · Journal of Molecular Biology · doi:10.1016/j.jmb.2018.05.044 · Cited by 320
Hillary, V. E., & Ceasar, S. A. (2023) · Molecular Biotechnology · doi:10.1007/s12033-022-00567-0 · Cited by 320
Wagner-Döbler, I., Ballhausen, B., Berger, M., Brinkhoff, T., Buchholz, I., Bunk, B., Cypionka, H., Daniel, R., Drepper, T., Gerdts, G., et al. (2010) · The ISME Journal · doi:10.1038/ismej.2009.94 · Cited by 271
PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
He, M., Cao, C., Ni, Z., Liu, Y., Song, P., Hao, S., He, Y., Sun, X., & Rao, Y. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-00999-9 · Cited by 283
Wiedenheft, B., Zhou, K., Jinek, M., Coyle, S. M., Ma, W., & Doudna, J. A. (2009) · Structure · doi:10.1016/j.str.2009.03.019 · Cited by 229
The basic building blocks and evolution of CRISPR–Cas systems
Makarova, K. S., Wolf, Y. I., & Koonin, E. V. (2013) · Biochemical Society Transactions · doi:10.1042/bst20130038 · Cited by 169
Barrangou, R., Briczinski, E. P., Traeger, L. L., Loquasto, J. R., Richards, M., Horvath, P., Coûté-Monvoisin, A.-C., Leyer, G., Rendulic, S., Steele, J. L., et al. (2009) · Journal of Bacteriology · doi:10.1128/jb.00155-09 · Cited by 150
Brown, S. D., Nagaraju, S., Utturkar, S., De Tissera, S., Segovia, S., Mitchell, W., Land, M. L., Dassanayake, A., & Köpke, M. (2014) · Biotechnology for Biofuels · doi:10.1186/1754-6834-7-40 · Cited by 145
Delivery of CRISPR/Cas9 for therapeutic genome editing
Xu, X., Wan, T., Xin, H., Li, D., Pan, H., Wu, J., & Ping, Y. (2019) · The Journal of Gene Medicine · doi:10.1002/jgm.3107 · Cited by 134
Fujisawa, T., Narikawa, R., Okamoto, S., Ehira, S., Yoshimura, H., Suzuki, I., Masuda, T., Mochimaru, M., Takaichi, S., Awai, K., et al. (2010) · DNA Research · doi:10.1093/dnares/dsq004 · Cited by 128
Fourth generation biofuel from genetically modified algal biomass: Challenges and future directions.
Shokravi, H., Shokravi, Z., Heidarrezaei, M., Ong, H. C., Rahimian Koloor, S. S., Petrů, M., Lau, W. J., & Ismail, A. F. (2021) · Chemosphere · doi:10.1016/j.chemosphere.2021.131535 · Cited by 127
Archaeal CRISPR-based immune systems: exchangeable functional modules
Garrett, R. A., Vestergaard, G., & Shah, S. A. (2011) · Trends in Microbiology · doi:10.1016/j.tim.2011.08.002 · Cited by 98
Evolution of CRISPR RNA recognition and processing by Cas6 endonucleases
Niewoehner, O., Jinek, M., & Doudna, J. A. (2014) · Nucleic Acids Research · doi:10.1093/nar/gkt922 · Cited by 88
Comparative Analysis of RNA Families Reveals Distinct Repertoires for Each Domain of Life
Hoeppner, M. P., Gardner, P. P., & Poole, A. M. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002752 · Cited by 62
Yang, C., Lin, F., Li, Q., Li, T., & Zhao, J. (2015) · Frontiers in Microbiology · doi:10.3389/fmicb.2015.00394 · Cited by 44
Arnoux, J. (2026) · Thèse de doctorat, Université Paris-Saclay / PPanGGOLiN · doi:10.70675/eee354d9zf63dz48ebz9444zd1809f8fb74d
Metadata
- Authors
- Haft, D. H., Selengut, J., Mongodin, E. F., & Nelson, K. E.
- Venue
- PLoS Computational Biology
- Publisher
- Public Library of Science (PLoS)
- Published
- 2005-11-11
- Volume
- 1
- Issue
- 6
- Pages
- e60
- ISSN
- 1553-734X (ISSN-L)
- 1553-7358
- OpenAlex
- W2153355254
- Cited by
- 979
- References
- 0
- FWCI
- 6.45
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.