Analysis of the root mRNA interactome from canola and rice: Crop species that span the eudicot-monocot boundary
Bibliographic record
Abstract
The advent of RNA interactome capture (RIC) has been important in characterizing the mRNA-binding proteomes (mRBPomes) of several eukaryotic taxa. To date, published plant poly(A) + RIC studies have been restricted to Arabidopsis thaliana and specific to seedlings, suspension cell cultures, mesophyll protoplasts, leaves and embryos. The focus of this study was to expand RIC to root tissue in two crop species, the oilseed eudicot Brassica napus (canola) and the cereal monocot Oryza sativa (rice). The optimization and application of root RIC in these species resulted in the identification of 499 proteins and 334 proteins comprising the root mRBPomes of canola and rice, respectively, with 182 shared orthologous proteins between these two species. In both mRBPomes, approximately 80 % of captured proteins were linked to RNA biology, with RRM-containing proteins and ribosomal proteins among the most overrepresented protein groups. Consistent with trends observed in other RIC studies, novel RNA-binding proteins were captured that lacked known RNA-binding domains and included numerous metabolic enzymes. The root mRBPomes from canola and rice shared a high degree of similarity at the compositional level, as shown by a comparative analysis of orthologs predicted for captured proteins to the published Arabidopsis RIC-derived mRBPomes, as well as our Arabidopsis root mRBPome data presented here. This analysis also revealed that 46 proteins in the canola and rice root mRBPomes were unique when orthologs were compared to the published Arabidopsis RBPomes, including those identified recently using phase separation approach that identified proteins bound to all RNA types. The results from this research expands the plant mRBPome into root tissue using two crop species that span the eudicot-monocot clade boundary, and provides fundamental knowledge on RNA-binding protein function in post-transcriptional control of gene expression in crop species for possible future development of beneficial traits. • RNA-binding proteins regulate post-transcriptional gene expression. • Poly(A) + RNA Interactome Capture (RIC) identified mRNA-binding proteins (RBPs) from canola and rice roots. • Ortholog analysis identified canola and rice RBPs that are shared with the Arabidopsis RBPs.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".