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Genome-Wide Characterization of the Lignification Toolbox in Arabidopsis
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Lignin, one of the most abundant terrestrial biopolymers, is indispensable for plant structure and defense. With the availability of the full genome sequence, large collections of insertion mutants, and functional genomics tools, Arabidopsis constitutes an excellent model system to profoundly unravel the monolignol biosynthetic pathway. In a genome-wide bioinformatics survey of the Arabidopsis genome, 34 candidate genes were annotated that encode genes homologous to the 10 presently known enzymes of the monolignol biosynthesis pathway, nine of which have not been described before. By combining evolutionary analysis of these 10 gene families with in silico promoter analysis and expression data (from a reverse transcription-polymerase chain reaction analysis on an extensive tissue panel, mining of expressed sequence tags from publicly available resources, and assembling expression data from literature), 12 genes could be pinpointed as the most likely candidates for a role in vascular lignification. Furthermore, a possible novel link was detected between the presence of the AC regulatory promoter element and the biosynthesis of G lignin during vascular development. Together, these data describe the full complement of monolignol biosynthesis genes in Arabidopsis, provide a unified nomenclature, and serve as a basis for further functional studies.
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Metadata
- Authors
- Raes, J., Rohde, A., Christensen, J. H., Van de Peer, Y., & Boerjan, W.
- Venue
- Plant Physiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2003-11-01
- Volume
- 133
- Issue
- 3
- Pages
- 1051-1071
- ISSN
- 0032-0889 (ISSN-L)
- 1532-2548
- OpenAlex
- W2115631962
- Cited by
- 821
- References
- 3
- FWCI
- 17.16
- Type
- journal article
- Language
- en
- Open access
- bronze
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 ›
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Genome-Wide Characterization of the Lignification Toolbox in Arabidopsis. https://app.cochat.ai/papers/10.1104/pp.103.026484
- The paper
- Raes, J., Rohde, A., Christensen, J. H., Van de Peer, Y., & Boerjan, W. (2003). Genome-Wide Characterization of the Lignification Toolbox in Arabidopsis. Plant Physiology. https://doi.org/10.1104/pp.103.026484
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.