The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
A Comprehensive Dataset of Genes with a Loss-of-Function Mutant Phenotype in Arabidopsis
Open accessAbstract
Despite the widespread use of Arabidopsis (Arabidopsis thaliana) as a model plant, a curated dataset of Arabidopsis genes with mutant phenotypes remains to be established. A preliminary list published nine years ago in Plant Physiology is outdated, and genome-wide phenotype information remains difficult to obtain. We describe here a comprehensive dataset of 2,400 genes with a loss-of-function mutant phenotype in Arabidopsis. Phenotype descriptions were gathered primarily from manual curation of the scientific literature. Genes were placed into prioritized groups (essential, morphological, cellular-biochemical, and conditional) based on the documented phenotypes of putative knockout alleles. Phenotype classes (e.g. vegetative, reproductive, and timing, for the morphological group) and subsets (e.g. flowering time, senescence, circadian rhythms, and miscellaneous, for the timing class) were also established. Gene identities were classified as confirmed (through molecular complementation or multiple alleles) or not confirmed. Relationships between mutant phenotype and protein function, genetic redundancy, protein connectivity, and subcellular protein localization were explored. A complementary dataset of 401 genes that exhibit a mutant phenotype only when disrupted in combination with a putative paralog was also compiled. The importance of these genes in confirming functional redundancy and enhancing the value of single gene datasets is discussed. With further input and curation from the Arabidopsis community, these datasets should help to address a variety of important biological questions, provide a foundation for exploring the relationship between genotype and phenotype in angiosperms, enhance the utility of Arabidopsis as a reference plant, and facilitate comparative studies with model genetic organisms.
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Cites
High-Quality Binary Protein Interaction Map of the Yeast Interactome Network
Yu, H., Braun, P., Yıldırım, M. A., Lemmens, I., Venkatesan, K., Sahalie, J., Hirozane-Kishikawa, T., Gebreab, F., Li, N., Simonis, N., et al. (2008) · Science · doi:10.1126/science.1158684 · Cited by 1,392
Role of duplicate genes in genetic robustness against null mutations
Gu, Z., Steinmetz, L. M., Gu, X., Scharfe, C., Davis, R. W., & Li, W.-H. (2003) · Nature · doi:10.1038/nature01198 · Cited by 889
PPDB, the Plant Proteomics Database at Cornell
Sun, Q., Zybailov, B., Majeran, W., Friso, G., Olinares, P. D. B., & van Wijk, K. J. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkn654 · Cited by 400
Cited by
ePlant: Visualizing and Exploring Multiple Levels of Data for Hypothesis Generation in Plant Biology
Waese, J., Fan, J., Pasha, A., Yu, H., Fucile, G., Shi, R., Cumming, M., Kelley, L. A., Sternberg, M. J., Krishnakumar, V., et al. (2017) · The Plant Cell · doi:10.1105/tpc.17.00073 · Cited by 462
Mutation bias reflects natural selection in Arabidopsis thaliana
Monroe, J. G., Srikant, T., Carbonell-Bejerano, P., Becker, C., Lensink, M., Exposito-Alonso, M., Klein, M., Hildebrandt, J., Neumann, M., Kliebenstein, D., et al. (2022) · Nature · doi:10.1038/s41586-021-04269-6 · Cited by 396
Gene editing in plants: progress and challenges
Mao, Y., Botella, J. R., Liu, Y., & Zhu, J.-K. (2019) · National Science Review · doi:10.1093/nsr/nwz005 · Cited by 341
Xu, X., Crow, M., Rice, B. R., Li, F., Harris, B., Liu, L., Demesa-Arevalo, E., Lu, Z., Wang, L., Fox, N., et al. (2021) · Developmental Cell · doi:10.1016/j.devcel.2020.12.015 · Cited by 264
Metadata
- Authors
- Lloyd, J., & Meinke, D.
- Venue
- Plant Physiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2012-01-13
- Volume
- 158
- Issue
- 3
- Pages
- 1115-1129
- ISSN
- 0032-0889 (ISSN-L)
- 1532-2548
- OpenAlex
- W2091965540
- Cited by
- 168
- References
- 3
- FWCI
- 17.38
- Type
- journal article
- Language
- en
- Open access
- hybrid
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