Cloning of full-length cDNA of FERgene in Leymus chinensis and its expression in E.coli
Bibliographic record
Abstract
Leymus chinensis,a high quality grazing,adapted to alkaline-sodic soil conditions and distributes widely in the Northeast of China.The species have developed molecular and physiological mechanisms to adapt itself under such stress conditions during the course of evolution.The mechanisms must involve lots of anti-stress genes and proteins.The full length of the LcFERgene was cloned by rapid-amplification of cDNA ends(RACE).The sequence was analysed by tools on NCBI.pGEX-KG-LcFER plasmid was obtained after digestion using BamH I and XbaI restriction endonuclease sites.Recombinant fusion protein was produced after transformation into E.coli BL21(DE3)with IPTG induction.The results showed that the coding sequence of LcFERwas 729bp.The amino acid sequence of LcFERshowed high identity with FER gene of Triticm aestivum,Hordeum vulgare,Oryza sativa.The LcFERcontained three consensus function domain,the ferroxidase diiron center,ferrihydrite nucleation center and iron ion channel.The secondary structure analysis revealed that LcFERstrongly resembled other FERgenes.SDS-PAGE identification was also used to analyse the recombinant protein expression,and a fussion protein band visualized successfully.The results establish a basis for further functional research of LcFERgene.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".