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Record W4403968601 · doi:10.1016/j.lwt.2024.116986

Phenylpropanoid metabolism may dominate the black spot resistance of Chinese olive (Canarium album)

2024· article· en· W4403968601 on OpenAlexaff
Qingli Zhuang, Weiqiang Xiao, Duo Lai, Jian Qin, Xiaorong Ni, Xuehua Shao

Bibliographic record

VenueLWT · 2024
Typearticle
Languageen
FieldChemistry
TopicEdible Oils Quality and Analysis
Canadian institutionsMinistry of Agriculture
Fundersnot available
KeywordsPhenylpropanoidBotanyBlack spotResistance (ecology)BiologyHorticultureEcologyGeneticsGene

Abstract

fetched live from OpenAlex

The black spot of Chinese olive ( Canarium album ) seriously reduces the appearance quality and economic value of this fruit. In this study, we identified a black spot resistant variety called 'Shuanghuxiang' (CS) and a susceptible variety called 'Yunzhi' (CY), and investigated the underlying resistance mechanisms. Paraffin sectioning analysis indicated greater susceptibility of CY fruit epidermis to breakage post black spot infection compared to CS, with SEM analysis showing lower pathogen presence on CS fruits. These results revealed that the variation in black spot resistance could be attributed to differences in fruit epidermis structure and antimicrobial properties. Through conjoint transcriptomic and metabolomic analyses, we observed enrichment of genes (particularly CaPAL1 and Ca4CL1 ) and metabolites (particularly trans-cinnamate, ferulic acid and sinapate) related to phenylpropanoid metabolism in CS. These results indicated that the phenylpropanoid metabolism may play a crucial role in black spot resistance. This study provides theoretical basis and valuable material for the breeding of resistant varieties of Chinese olive. • 'Shuanghuxiang' (CS) exhibited effective black spot resistance. • Black spot resistance may be due to fruit epidermis & antimicrobial properties. • The phenylpropanoid metabolism may play a crucial role in black spot resistance.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.151
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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)0.0010.000

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 head0.010
GPT teacher head0.262
Teacher spread0.252 · 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 teacher head, not a consensus.

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

Citations4
Published2024
Admission routes1
Has abstractyes

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