MétaCan
Menu
Back to cohort
Record W2904183622 · doi:10.1093/jas/sky404.399

PSI-22 Effects of miR156 overexpression and silencing of SPL6 and SPL13 genes on the carbohydrate molecular structures in alfalfa.

2018· article· en· W2904183622 on OpenAlexaff
Yaogeng Lei, Abdelali Hannoufa, You Wang, Peiqiang Yu

Bibliographic record

VenueJournal of Animal Science · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Productivity and Crop Improvement
Canadian institutionsAgriculture and Agri-Food CanadaUniversity of Saskatchewan
Fundersnot available
KeywordsRNA interferenceCarbohydrateChemistryGene silencingGeneBiochemistryBiologyRNA

Abstract

fetched live from OpenAlex

The objectives of this study were to investigate the effect of overexpression of miR156 (miR156 OE) on carbohydrate molecular structures of alfalfa, in comparison with silencing SPL6 and SPL13 genes (SPL RNAi). Five miR156 OE, three SPL6-silenced (SPL6 RNAi) and three SPL13-silenced (SPL13 RNAi) alfalfa plants were grown with wild type (WT) under greenhouse conditions. Three batches of each genotype were harvested at mid-vegetative stage, freeze-dried and ground through 0.02mm sieve. Spectra were collected with attenuated total reflection Fourier transform infrared spectroscopy (ATR-FTIR). Univariate analysis was performed with OMNIC software and spectral parameters were analyzed with PROC MIXED from SAS 9.4. Hierarchical cluster analysis (HCA) and principle component analysis (PCA) were performed with R software using both original spectra and second derivatives. Results showed that miR156 OE and SPL6/13 RNAi had lower heights and areas of total carbohydrate (TC), cellulosic compounds (CEC) and structural carbohydrate (STC) compared to WT, except that both WT and miR156 OE had higher TC4 and STC4 heights than SPL RNAi. Moreover, miR156 OE had greater STC2 and STC3 heights, and STC area (STCA) compared to SPL6/13 RNAi, and lower CEC height than SPL13 RNAi. As for PCA results, WT could be separated from SPL RNAi in CEC and STC regions with original spectra, and in STC and total carbohydrate (CHO) regions by using second derivatives. In terms of HCA, original spectra clusters distinguished WT from SPL RNAi in TC and STC regions. In contrast, second derivatives clusters could separate WT from both SPL RNAi and miR156 OE in STC and CHO regions. In conclusion, overexpression of miR156 altered the carbohydrate structures of alfalfa, which was similar as silencing of SPL6 and SPL13 genes. The STC region had the most spectral variations in carbohydrate region and could be used for clustering analysis.

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 score0.002
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 head0.009
GPT teacher head0.216
Teacher spread0.207 · 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
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Animal ScienceSame topicAgricultural Productivity and Crop ImprovementFrench-language works237,207