New PhytologistPlant BiologyPeer-reviewed journal article
Self-incompatibility phenotypes of SRK mutants can be predicted with high accuracy
Masaya YamamotoiD, Shotaro Ohtake, Akihisa ShinozawaiD, Matsuyuki ShirotaiD, Yuki MitsuiiD, Hiroyasu KitashibaiD
Abstract
Only very limited information is available on why some non-synonymous variants severely alter gene function while others have no effect. To identify the characteristic features of mutations that strongly influence gene function, this study focused on S-locus receptor kinase, SRK, which encodes a highly polymorphic receptor kinase expressed in stigma papillary cells that underlies a female determinant of self-incompatibility in Brassicaceae. A set of 299 Arabidopsis thaliana transformants expressing mutated SRKb from A. lyrata was constructed and analyzed to determine the genotype and self-incompatibility phenotype of each transformant. Almost all the transformants showing the self-incompatibility defect contained mutations in AlSRKb that altered localization to the plasma membrane. The observed mutations occurred in amino acid residues that were highly conserved across S haplotypes and whose predicted locations were in the interior of the protein. These mutations were likely to underlie the self-incompatibility defect as they caused significant changes to amino acid properties. Such findings suggested that mutations causing the self-incompatibility defect were more likely to result from changes to AlSRKb biosynthesis than from loss of function. In addition, this study showed the RandomForest and Extreme Gradient Boosting methods could predict self-incompatibility phenotypes of SRK mutants with high accuracy.
- organism: Arabidopsis
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: variant effect prediction
- approach: machine learning (classical)
- Citations
- 1
- FWCI
- 0.11
- Field percentile
- 29th percentile
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