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Record W3208607669 · doi:10.30498/ijb.2021.230722.2768

CRISPR- mediated Mutation in <i>Cinnamoyl- CoA Reductase 4</i> in Allohexaploid Oilseed Crop <i>Camelina sativa</i>, Revealed its Pivotal Role in Resistance Against <i>Sclerotinia sclerotiorum</i>.

2021· article· en· W3208607669 on OpenAlexaff
Naser Darvishi

Bibliographic record

VenuePubMed · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicLipid metabolism and biosynthesis
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsCamelinaCamelina sativaSclerotinia sclerotiorumBiologySclerotiniaMutantCRISPRGeneticsCropGeneBotanyBiotechnologyAgronomy

Abstract

fetched live from OpenAlex

Background: ) gene, in the Cs resistant line CN114263. Modern breeding efforts, such as gene editing, are needed to improve commercial lines and to limit the risk of crop loss which would be substantial to producers. Objectives: knockout mutants of CN114263 Camelina line using CRISPR/Cas9-mediated gene editing. Materials and Methods: homeologues in T1 and T2 generations were scrutinized by drop-off assay technique. To make sure that if the created mutants in T2 plants are real, TOPO TA sequencing flanking the Cas9/gRNA specific hot point of cleavage for three of them was conducted. Results: compared to the wildtype resistant control parent CN114263. Conclusion: Using ddPCR it easily was possible to identify both the T-DNA CNV and occurrence of mutation in CsCCR4 homeologues in T1 and T2 progenitors. We illustrated that CRISPR/Cas9-mediated mutation is a decent technique that can be utilized to expedite the mutant line development which could assist to figure out the activity of a CsCCR4 gene in defense responses to the pathogens in C. sativa as prospective oilseed crop for biodiesel production.

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 score0.009

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.009
GPT teacher head0.207
Teacher spread0.197 · 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

Citations2
Published2021
Admission routes1
Has abstractyes

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Same venuePubMed→Same topicLipid metabolism and biosynthesis→French-language works237,207→