MétaCan
Menu
Back to cohort
Record W3216041009 · doi:10.5376/mpb.2021.12.0035

Telomerase Activity of Apple Plantlets <i>in Vitro</i> Kept Relative Stable after Conserved for Years

2021· article· en· W3216041009 on OpenAlexvenueno aff
Liang Chen, Yajie Liu, Li Wang, Guoqiang Du, Xiaoxin Shi

Bibliographic record

VenueMolecular Plant Breeding · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Molecular Biology Research
Canadian institutionsnot available
FundersNatural Science Foundation of Hebei Province
KeywordsMalusTelomeraseSubculture (biology)BiologyCallusBotanyHorticultureGeneGenetics

Abstract

fetched live from OpenAlex

In order to understand the telomerase characteristics in relation to the proliferation and aging of the tissue culture plantlets of apple, the leaves, stem segments and callus sampled from Malus domestica ‘Golden Delicious’, Malus domestica ‘Fuji’ and Malus domestica ‘Gala’ plantlets that subcultured in vitro for years were analyzed for the telomerase activity and the amount of telomerase reverse transcriptase gene expression by using modified TRAP and Quantitative Real-time PCR. The results showed that the telomerase activity in the leaves and stem segments had no significant difference among the plantlets that subcultured for different times. During a given subculture time, the telomerase activity in leaves showed a tendency of increasing first and then declining along with the leaf aging in a ninety-day period. The telomerase activity varied in different materials, among which Malus domestica ‘Golden Delicious’ callus and Malus domestica ‘Gala’ leaves appeared the highest amount, respectively. The expression of telomerase reverse transcriptase gene was consistent with the change of telomerase activity.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.023
GPT teacher head0.229
Teacher spread0.206 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueMolecular Plant BreedingSame topicPlant Molecular Biology ResearchFrench-language works237,207