Cloning and <i>in silico</i> and expression analyses of the heterotrimeric G protein α subunit gene (<i>EjLGA1</i>) from loquat (<i>Eriobotrya japonica</i>) fruits under cold storage with different pretreatments
Bibliographic record
Abstract
Cold-stored fruits of the loquat (Eriobotrya japonica Lindl.) plant suffer from strong lignification, which leads to a hard texture and a crude mouthfeel of the pulp. However, the signalling mechanisms of loquat fruits under cold storage remain unclear. In this study, the heterotrimeric G protein α subunit (Gα) gene (EjLGA1) from loquat was isolated, and in silico analysis was performed. The levels of EjLGA1 expression in cold-stored loquat fruits with different pretreatments were also investigated. The largest open-reading frame of EjLGA1 is 1173 bp, encoding a polypeptide of 390 amino acids. The nucleotide and amino acid sequences of the Gα subunit are highly conserved among loquat and 48 other seed plants, indicating that the loquat Gα subunit likely has similar functions in other plants. A reliable model of the loquat Gα subunit was constructed, which revealed the structure of the subunit. Quantitative reverse transcription-polymerase chain reaction (qRT-PCR) results showed that EjLGA1 is highly expressed under cold storage, which suggests the significance of EjLGA1 function in loquat fruits in response to cold stress. However, ethephon and 1-methylcyclopropene (1-MCP) pretreatments did not regulate EjLGA1expression. These results provide new insight into the signalling mechanism in cold-stored loquat fruits.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".