The DOI matches its Crossref record; 58 of the 58 references it cites were found in a registry or an index.
Two dynamic N-terminal regions are required for function in ribosomal RNA adenine dimethylase family members
Open accessPublished version of a preprint
Abstract
Prominent members of the ribosomal RNA adenine dimethylase (RRAD) family of enzymes facilitate ribosome maturation by dimethylating 2 nt of small subunit rRNA, including the human DIMT1 and bacterial KsgA enzymes. A subgroup of RRAD enzymes, named erythromycin resistance methyltransferases (Erm), dimethylate a specific nucleotide in large subunit rRNA to confer antibiotic resistance. How these enzymes regulate methylation so that it only occurs on the specific substrate is not fully understood. While performing random mutagenesis on the catalytic domain of ErmE, we discovered that mutants in an N-terminal region of the protein that is disordered in the ErmE crystal structure are associated with a loss of antibiotic resistance. By subjecting site-directed mutants of ErmE and KsgA to phenotypic and in vitro assays, we found that the N-terminal region is critical for activity in RRAD enzymes: The N-terminal basic region promotes rRNA binding, and the conserved motif likely assists in juxtaposing the adenosine substrate and the S -adenosylmethionine cofactor. Our results and emerging structural data suggest that this dynamic, N-terminal region of RRAD enzymes becomes ordered upon rRNA binding, forming a cap on the active site required for methylation.
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
Figures










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
Cites
Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764
Construction of Escherichia coli K‐12 in‐frame, single‐gene knockout mutants: the Keio collection
Baba, T., Ara, T., Hasegawa, M., Takai, Y., Okumura, Y., Baba, M., Datsenko, K. A., Tomita, M., Wanner, B. L., & Mori, H. (2006) · Molecular Systems Biology · doi:10.1038/msb4100050 · Cited by 7,858
Pfam: The protein families database in 2021
Mistry, J., Chuguransky, S., Williams, L., Qureshi, M., Salazar, G. A., Sonnhammer, E. L. L., Tosatto, S. C. E., Paladin, L., Raj, S., Richardson, L. J., et al. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkaa913 · Cited by 7,452
Topology of the human and mouse m6A RNA methylomes revealed by m6A-seq
Dominissini, D., Moshitch-Moshkovitz, S., Schwartz, S., Salmon-Divon, M., Ungar, L., Osenberg, S., Cesarkas, K., Jacob-Hirsch, J., Amariglio, N., Kupiec, M., et al. (2012) · Nature · doi:10.1038/nature11112 · Cited by 4,884
Comprehensive Analysis of mRNA Methylation Reveals Enrichment in 3′ UTRs and near Stop Codons
Meyer, K. D., Saletore, Y., Zumbo, P., Elemento, O., Mason, C. E., & Jaffrey, S. R. (2012) · Cell · doi:10.1016/j.cell.2012.05.003 · Cited by 4,223
Dynamic RNA Modifications in Gene Expression Regulation
Roundtree, I. A., Evans, M. E., Pan, T., & He, C. (2017) · Cell · doi:10.1016/j.cell.2017.05.045 · Cited by 3,399
MODOMICS: a database of RNA modification pathways. 2017 update
Boccaletto, P., Machnicka, M. A., Purta, E., Piątkowski, P., Bagiński, B., Wirecki, T. K., de Crécy‐Lagard, V., Ross, R. L., Limbach, P. A., Kötter, A., et al. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx1030 · Cited by 1,820
Structural Basis for Cooperative Function of Mettl3 and Mettl14 Methyltransferases
Wang, P., Doxtader, K. A., & Nam, Y. (2016) · Molecular Cell · doi:10.1016/j.molcel.2016.05.041 · Cited by 1,246
The U6 snRNA m 6 A Methyltransferase METTL16 Regulates SAM Synthetase Intron Retention
Pendleton, K. E., Chen, B., Liu, K., Hunter, O. V., Xie, Y., Tu, B. P., & Conrad, N. K. (2017) · Cell · doi:10.1016/j.cell.2017.05.003 · Cited by 1,085
Many paths to methyltransfer: a chronicle of convergence
Schubert, H. L., Blumenthal, R. M., & Cheng, X. (2003) · Trends in Biochemical Sciences · doi:10.1016/s0968-0004(03)00090-2 · Cited by 876
Structural insights into the molecular mechanism of the m6A writer complex
Śledź, P., & Jinek, M. (2016) · eLife · doi:10.7554/elife.18434 · Cited by 528
Malone, T., Blumenthal, R. M., & Cheng, X. (1995) · Journal of Molecular Biology · doi:10.1006/jmbi.1995.0577 · Cited by 475
Bertrand, R. L. (2019) · Journal of Bacteriology · doi:10.1128/jb.00697-18 · Cited by 388
METTL1-mediated m7G modification of Arg-TCT tRNA drives oncogenic transformation
Orellana, E. A., Liu, Q., Yankova, E., Pirouz, M., De Braekeleer, E., Zhang, W., Lim, J., Aspris, D., Sendinc, E., Garyfallos, D. A., et al. (2021) · Molecular Cell · doi:10.1016/j.molcel.2021.06.031 · Cited by 348
Metodiev, M. D., Lesko, N., Park, C. B., Cámara, Y., Shi, Y., Wibom, R., Hultenby, K., Gustafsson, C. M., & Larsson, N.-G. (2009) · Cell Metabolism · doi:10.1016/j.cmet.2009.03.001 · Cited by 309
Dai, Z., Liu, H., Liao, J., Huang, C., Ren, X., Zhu, W., Zhu, S., Peng, B., Li, S., Lai, J., et al. (2021) · Molecular Cell · doi:10.1016/j.molcel.2021.07.003 · Cited by 294
Hidden codes in mRNA: Control of gene expression by m6A
Murakami, S., & Jaffrey, S. R. (2022) · Molecular Cell · doi:10.1016/j.molcel.2022.05.029 · Cited by 292
Resistance to Macrolide Antibiotics in Public Health PathogensPreprint
Fyfe, C., Grossman, T. H., Kerstein, K., & Sutcliffe, J. A. (2016) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a025395 · Cited by 274
Skinner, R. H., Cundliffe, E., & Schmidt, F. J. (1983) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(17)44232-3 · Cited by 269
Mechanism of Kasugamycin Resistance in Escherichia coli
Helser, T. L., DAVIES, J. E., & Dahlberg, J. E. (1972) · Nature New Biology · doi:10.1038/newbio235006a0 · Cited by 267
Johansen, S. K., Maus, C. E., Plikaytis, B. B., & Douthwaite, S. R. (2006) · Molecular Cell · doi:10.1016/j.molcel.2006.05.044 · Cited by 249
Structural Basis for Regulation of METTL16, an S-Adenosylmethionine Homeostasis Factor
Doxtader, K. A., Wang, P., Scarborough, A. M., Seo, D., Conrad, N. K., & Nam, Y. (2018) · Molecular Cell · doi:10.1016/j.molcel.2018.07.025 · Cited by 228
Distribution and frequencies of post-transcriptional modifications in tRNAs
Machnicka, M. A., Olchowik, A., Grosjean, H., & Bujnicki, J. M. (2014) · RNA Biology · doi:10.4161/15476286.2014.992273 · Cited by 203
Shaheen, R., Abdel‐Salam, G. M. H., Guy, M. P., Alomar, R., Abdel‐Hamid, M. S., Afifi, H. H., Ismail, S. I., Emam, B. A., Phizicky, E. M., & Alkuraya, F. S. (2015) · Genome biology · doi:10.1186/s13059-015-0779-x · Cited by 195
Zorbas, C., Nicolas, É., Wacheul, L., Huvelle, E., Heurgué‐Hamard, V., & Lafontaine, D. L. J. (2015) · Molecular Biology of the Cell · doi:10.1091/mbc.e15-02-0073 · Cited by 184
Mechanistic insight into the ribosome biogenesis functions of the ancient protein KsgA
Connolly, K., Rife, J. P., & Culver, G. M. (2008) · Molecular Microbiology · doi:10.1111/j.1365-2958.2008.06485.x · Cited by 173
Lafontaine, D. L. J., Delcour, J., Glasser, A.-L., et al. (1994) · Journal of Molecular Biology · doi:10.1006/jmbi.1994.1525 · Cited by 172
Structural analysis of kasugamycin inhibition of translation
Schuwirth, B. S., Day, J. M., Hau, C. W., Janssen, G. R., Dahĺberg, A. E., Cate, J. H. D., & Vila‐Sanjurjo, A. (2006) · Nature Structural & Molecular Biology · doi:10.1038/nsmb1150 · Cited by 146
Schluenzen, F., Takemoto, C., Wilson, D. N., Kaminishi, T., Harms, J. M., Hanawa‐Suetsugu, K., Szaflarski, W., Kawazoe, M., Shirouzu, M., Nierhaus, K. H., et al. (2006) · Nature Structural & Molecular Biology · doi:10.1038/nsmb1145 · Cited by 141
Structural basis of regulated m7G tRNA modification by METTL1–WDR4
Li, J., Wang, L., Hahn, Q., Nowak, R. P., Viennet, T., Orellana, E. A., Burman, S. S. R., Yue, H., Hunkeler, M., Fontana, P., et al. (2023) · Nature · doi:10.1038/s41586-022-05566-4 · Cited by 140
DNA and RNA Modification Enzymes
Grosjean, H. (2009) · CRC Press eBooks · doi:10.1201/9781498713153 · Cited by 132
Structures and mechanisms of tRNA methylation by METTL1–WDR4
Ruiz-Arroyo, V. M., Raj, R., Babu, K., Onolbaatar, O., Roberts, P. H., & Nam, Y. (2023) · Nature · doi:10.1038/s41586-022-05565-5 · Cited by 125
Schluckebier, G., Zhong, P., Stewart, K. D., Kavanaugh, T. J., & Abad‐Zapatero, C. (1999) · Journal of Molecular Biology · doi:10.1006/jmbi.1999.2788 · Cited by 111
O′Farrell, H. C., Scarsdale, J. N., & Rife, J. P. (2004) · Journal of Molecular Biology · doi:10.1016/j.jmb.2004.02.068 · Cited by 87
Principles of mitoribosomal small subunit assembly in eukaryotes
Harper, N. J., Burnside, C., & Klinge, S. (2022) · Nature · doi:10.1038/s41586-022-05621-0 · Cited by 70
Dunkle, J. A., Vinal, K., Desai, P. M., Zelinskaya, N. V., Savić, M., West, D. M., Conn, G. L., & Dunham, C. M. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1402789111 · Cited by 59
Self-citationLiu, X., Shen, S., Wu, P., Li, F., Liu, X., Wang, C., Gong, Q., Wu, J., Yao, X., Zhang, H., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz505 · Cited by 57
Poldermans, B., Goosen, N., & van Knippenberg, P. H. (1979) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(19)86813-8 · Cited by 56
Ribosome-targeting antibiotics and resistance via ribosomal RNA methylation
Jeremia, L., Deprez, B. E., Dey, D., Conn, G. L., & Wuest, W. M. (2023) · RSC Medicinal Chemistry · doi:10.1039/d2md00459c · Cited by 42
Maravić-Vlahoviček, G., Feder, M., Pongor, S., Flögel, M., & Bujnicki, J. M. (2003) · Journal of Molecular Biology · doi:10.1016/s0022-2836(03)00863-5 · Cited by 38
Deciphering Determinants in Ribosomal Methyltransferases That Confer Antimicrobial Resistance
Bhujbalrao, R., & Anand, R. (2019) · Journal of the American Chemical Society · doi:10.1021/jacs.8b10277 · Cited by 31
Reiter, M. A., & Vorholt, J. A. (2024) · BMC Bioinformatics · doi:10.1186/s12859-024-05692-y · Cited by 31
Laughlin, Z. T., Nandi, S., Dey, D., Zelinskaya, N. V., Witek, M. A., Srinivas, P., Nguyen, H. A., Kuiper, E. G., Comstock, L. R., Dunham, C. M., et al. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2120352119 · Cited by 29
KsgA facilitates ribosomal small subunit maturation by proofreading a key structural lesion
Sun, J., Kinman, L. F., Jahagirdar, D., Ortega, J., & Davis, J. H. (2023) · Nature Structural & Molecular Biology · doi:10.1038/s41594-023-01078-5 · Cited by 29
Zhang, Y., Aleksashin, N. A., Klepacki, D., Anderson, C. M., Vázquez‐Laslop, N., Gross, C. A., & Mankin, A. S. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2118553119 · Cited by 28
ErmE methyltransferase recognition elements in RNA substrates 1 1Edited by D. E. Draper
Vester, B., Nielsen, A. K., Hansen, L. H., & Douthwaite, S. R. (1998) · Journal of Molecular Biology · doi:10.1006/jmbi.1998.2024 · Cited by 27
Witek, M. A., Kuiper, E. G., Minten, E. V., Crispell, E. K., & Conn, G. L. (2016) · Journal of Biological Chemistry · doi:10.1074/jbc.m116.752659 · Cited by 27
Crystal structure of ErmE - 23S rRNA methyltransferase in macrolide resistance
Stsiapanava, A., & Selmer, M. (2019) · Scientific Reports · doi:10.1038/s41598-019-51174-0 · Cited by 27
Tied up in knots: Untangling substrate recognition by the SPOUT methyltransferases
Strassler, S. E., Bowles, I. E., Dey, D., Jackman, J. E., & Conn, G. L. (2022) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2022.102393 · Cited by 26
Identification of Essential Residues in the Erm(B) rRNA Methyltransferase ofClostridium perfringens
Farrow, K. A., Lyras, D., Polekhina, G., Koutsis, K., Parker, M. W., & Rood, J. I. (2002) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.46.5.1253-1261.2002 · Cited by 24
Shen, H., Stoute, J., & Liu, K. F. (2020) · Journal of Biological Chemistry · doi:10.1074/jbc.ra120.014236 · Cited by 22
Srinivas, P., Nosrati, M., Zelinskaya, N., Dey, D., Comstock, L. R., Dunham, C. M., & Conn, G. L. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2304128120 · Cited by 20
Rowe, S. J., Mecaskey, R. J., Nasef, M., et al. (2020) · Journal of Biological Chemistry · doi:10.1074/jbc.ra120.014280 · Cited by 13
Goh, B. C., Xiang, X., Lescar, J., & Dedon, P. C. (2022) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2022.101571 · Cited by 12
Control of Substrate Specificity by a Single Active Site Residue of the KsgA Methyltransferase
O′Farrell, H. C., Musayev, F. N., Scarsdale, J. N., et al. (2011) · Biochemistry · doi:10.1021/bi201539j · Cited by 11
Decoding the Mechanism of Specific RNA Targeting by Ribosomal Methyltransferases
Singh, J., Raina, R., Vinothkumar, K. R., & Anand, R. (2022) · ACS Chemical Biology · doi:10.1021/acschembio.1c00732 · Cited by 11
Sharkey, R. E., Herbert, J. B., McGaha, D. A., Nguyen, V., Schoeffler, A. J., & Dunkle, J. A. (2021) · RNA · doi:10.1261/rna.078946.121 · Cited by 7
Self-citationKinetic Analysis of tRNA Methyltransferases
Hou, Y., & Masuda, I. (2015) · Methods in enzymology on CD-ROM/Methods in enzymology · doi:10.1016/bs.mie.2015.04.012 · Cited by 6
Research works printed but not linked: 1
- Czerwoniec A , Kasprzak JM , Kaminska KH , Rother K , Purta E , Bujnicki JM . 2009. Folds and functions of domains in RNA modification enzymes. In DNA and RNA modification enzymes: structure, mechanism, function and evolution (ed. Grosjean H ), pp. 289–302. Landes Bioscience, Austin, TX.
Metadata
- Authors
- McGaha, D. A., Collins, A., Ajisafe, L. O., Perdigao, C. C., Bondrowski, J. L., Fetsch, K., & Dunkle, J. A.
- Affiliations
- University of Alabama (US)
- Corresponding author
- Dunkle, Jack A.
- Venue
- RNA
- Publisher
- Cold Spring Harbor Laboratory
- Published
- 2024-11-08
- Volume
- 31
- Issue
- 2
- Pages
- 164-180
- ISSN
- 1355-8382 (ISSN-L)
- 1469-9001
- PMC
- PMC11789486
- OpenAlex
- W4404174051
- Cited by
- 0
- References
- 58
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- cc-by-nd
- Locations
- RNA (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nd)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- PubMed Central (publishedVersion, cc-by-nc)
- Funders
- National Institute of General Medical Sciences of the National Institutes of Health (R35GM142966)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA and protein synthesis mechanisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA modifications and cancer
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA regulation and disease
- Keywords
- KsgA, rRNA methylation, ribosome maturation, N-terminal disordered region, rRNA binding, antibiotic resistance, protein conformational change, active site
- MeSH terms
- Humans, Methylation, Methyltransferases, Models, Molecular, Mutation, RNA, Ribosomal, Mutagenesis, Site-Directed, Catalytic Domain
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.