Nuclear targeting of the cauliflower mosaic virus (CaMV) genomeThis review is one of a selection of papers published in the Special Issue on Plant Cell Biology.
Bibliographic record
Abstract
The delivery of the double-stranded DNA viral genome into the nucleus is a critical step for the type member of Caulimoviridae, cauliflower mosaic virus (CaMV). The nucleocapsid (NC) of CaMV is directly involved in this process. A nuclear localization signal located at the N-terminus of the NC was shown to be exposed at the surface of the virion. This nuclear localization signal appears to be important to direct the virus to the nuclear pore complex. The nuclear targeting of the NC needs to be tightly regulated because the process of virus assembly, which also involves the viral NC, occurs in the cytosol. It is now accepted that the N- and C-terminal extensions of the viral NC precursor are efficient regulatory sequences that determine the localization of the viral NC in infected leaves. Proteolytic maturation and phosphorylation of the N- and C-terminal extensions are also important in the regulation of this process. Despite these recent discoveries, the transport of CaMV toward and into the nucleus during early events in the infection cycle remains unclear. In this review, we summarize recent advances that explain the mechanisms of targeting of the CaMV genome to the nucleus and extract from other related animal and plant viruses mechanisms that could hint at the possible strategies used by CaMV to enter the nucleus.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".