The DOI matches its OpenAlex record; 3 of the 3 references it cites were found in a registry or an index.
Plant disease resistance genes encode members of an ancient and diverse protein family within the nucleotide-binding superfamily
Abstract
The nucleotide binding site (NBS) is a characteristic domain of many plant resistance gene products. An increasing number of NBS-encoding sequences are being identified through gene cloning, PCR amplification with degenerate primers, and genome sequencing projects. The NBS domain was analyzed from 14 known plant resistance genes and more than 400 homologs, representing 26 genera of monocotyledonous, dicotyle-donous and one coniferous species. Two distinct groups of diverse sequences were identified, indicating divergence during evolution and an ancient origin for these sequences. One group was comprised of sequences encoding an N-terminal domain with Toll/Interleukin-1 receptor homology (TIR), including the known resistance genes, N, M, L6, RPP1 and RPP5. Surprisingly, this group was entirely absent from monocot species in searches of both random genomic sequences and large collections of ESTs. A second group contained monocot and dicot sequences, including the known resistance genes, RPS2, RPM1, I2, Mi, Dm3, Pi-B, Xa1, RPP8, RPS5 and Prf. Amino acid signatures in the conserved motifs comprising the NBS domain clearly distinguished these two groups. The Arabidopsis genome is estimated to contain approximately 200 genes that encode related NBS motifs; TIR sequences were more abundant and outnumber non-TIR sequences threefold. The Arabidopsis NBS sequences currently in the databases are located in approximately 21 genomic clusters and 14 isolated loci. NBS-encoding sequences may be more prevalent in rice. The wide distribution of these sequences in the plant kingdom and their prevalence in the Arabidopsis and rice genomes indicate that they are ancient, diverse and common in plants. Sequence inferences suggest that these genes encode a novel class of nucleotide-binding proteins.
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
Cites
Gapped BLAST and PSI-BLAST: a new generation of protein database search programs
Altschul, S. (1997) · Nucleic Acids Research · doi:10.1093/nar/25.17.3389 · Cited by 73,302
The GTPase superfamily: conserved structure and molecular mechanism
Bourne, H. R., Sanders, D. A., & McCormick, F. (1991) · Nature · doi:10.1038/349117a0 · Cited by 3,392
PHYLOGENETIC ANALYSIS IN MOLECULAR EVOLUTIONARY GENETICS
Nei, M. (1996) · Annual Review of Genetics · doi:10.1146/annurev.genet.30.1.371 · Cited by 349
Cited by
Cannon, S. B., Mitra, A., Baumgarten, A., Young, N. D., & May, G. (2004) · BMC Plant Biology · doi:10.1186/1471-2229-4-10 · Cited by 2,372
Self-citationGenome-Wide Analysis of NBS-LRR–Encoding Genes in Arabidopsis[W]
Meyers, B. C., Kozik, A., Griego, A., Kuang, H., & Michelmore, R. W. (2003) · The Plant Cell · doi:10.1105/tpc.009308 · Cited by 1,605
Self-citationGene duplication and evolutionary novelty in plants
Flagel, L. E., & Wendel, J. F. (2009) · New Phytologist · doi:10.1111/j.1469-8137.2009.02923.x · Cited by 969
Argout, X., Salse, J., Aury, J.-M., Guiltinan, M. J., Droc, G., Gouzy, J., Allegre, M., Chaparro, C., Legavre, T., Maximova, S. N., et al. (2011) · Nature Genetics · doi:10.1038/ng.736 · Cited by 746
Plant NBS-LRR proteins in pathogen sensing and host defense
DeYoung, B. J., & Innes, R. W. (2006) · Nature Immunology · doi:10.1038/ni1410 · Cited by 745
Metadata
- Authors
- Meyers, B. C., Dickerman, A. W., Michelmore, R. W., Sivaramakrishnan, S., Sobral, B., & Young, N. D.
- Venue
- The Plant Journal
- Publisher
- Wiley
- Published
- 1999-11-01
- Volume
- 20
- Issue
- 3
- Pages
- 317-332
- ISSN
- 0960-7412 (ISSN-L)
- OpenAlex
- W1989581558
- Cited by
- 838
- References
- 3
- FWCI
- 46.04
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Plant disease resistance genes encode members of an ancient and diverse protein family within the nucleotide-binding superfamily. https://app.cochat.ai/papers/10.1046/j.1365-313x.1999.00606.x
- The paper
- Meyers, B. C., Dickerman, A. W., Michelmore, R. W., Sivaramakrishnan, S., Sobral, B., & Young, N. D. (1999). Plant disease resistance genes encode members of an ancient and diverse protein family within the nucleotide-binding superfamily. The Plant Journal. https://doi.org/10.1046/j.1365-313x.1999.00606.x
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.