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Record W4232052201 · doi:10.18699/plantgen2021-207

Differential gene expression in Lavandula angustifolia Mill. under adaptation ex vitro

2021· article· en· W4232052201 on OpenAlexaboutno aff

Bibliographic record

VenuePlant Genetics, Genomics, Bioinformatics, and Biotechnology (PlantGen2021) · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant tissue culture and regeneration
Canadian institutionsnot available
FundersRussian Science FoundationNational Science Council
KeywordsLavandula angustifoliaLavandulaLavenderCuttingBiologyKinetinHorticultureSowingBotanyAuxinMurashige and Skoog mediumCultivarRosa × damascenaEx vivoVegetative reproductionIn vitroExplant cultureGeneEssential oilGenetics

Abstract

fetched live from OpenAlex

Propagation of commercial lavender (Lavandula angustifolia Mill.) cultivars in vitro has a number of advantages over seed or vegetative (cuttings) propagation: obtaining a uniform, genetically stable and healthy planting material. At the same time, the effectiveness of this process depends on the subsequent adaptation of the obtained plants to the open-field conditions. The research was carried out on the 'Prima' cultivar in the collection of the Nikita Botanical Gardens. Leaves were collected from plants grown in vitro before transferring them to in vivo conditions and from plants after 7 days adaptation in a Conviron multilevel plant growth chamber (Canada). Lavender plants were cultured in vitro on MS culture medium supplemented with 0.5 mg/L BAP or 0.5 mg/L kinetin and 0.025 mg/L NAA at a temperature of 22-25 C, 14-16-hour photoperiod, light intensity -25.0-37.5 mol m -2 s -1 . To induct rhizogenesis (after third passage). MS medium with different content of auxins, IBA or NAA (0.5-1.0 mg/L), was used. To analyze possible molecular mechanisms, which are the base of the adaptive processes in plants, at the time of transition from in vitro growth to in vivo growth the sampels of total RNA were isolated from leaves by the NucleoSpin RNA Plant protocol (NucleoSpin, Germany) and 24 barcoded RNA-Seq libraries were created using Illumna TruSeq Stranded mRNA Library Prep Kit. Sequencing was made on a high-performance sequencer Illumina NextSeq 550 using the NextSeq 500 HighOutputv2 Kit with an estimated capacity of at least 90 million reads. As a result of sequencing, 3 libraries of transcriptomic data were obtained for each of the states (in vitro and in vivo). For the obtained data, pre-preparation, de novo transcriptome assembly, transcript-level expression analysis, search for protein-coding regions and their annotation using the SwissProt Viridiplantae database, and evaluation of differential expression were made. The transcripts of up-regulation and down-regulation have been identified. The following software packages were used: FastP v. 0.19.5, Trinityv.2.11.0, Kallistov.0.46.1, TransDecoder v.5.5.0, BLASTv.2.11.0, edgeRv.3.32.1.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

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)0.0010.000

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.

Opus teacher head0.011
GPT teacher head0.201
Teacher spread0.190 · 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 designObservational
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

Citations1
Published2021
Admission routes1
Has abstractyes

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