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Record W2910920740 · doi:10.1080/07060661.2019.1567592

Comparative transcriptomic analysis reveals gene expression changes during early stages of <i>Plasmodiophora brassicae</i> infection in cabbage (<i>Brassica oleracea</i> var. <i>capitata</i> L.)

2019· article· en· W2910920740 on OpenAlexvenueno aff
Shenyun Wang, Fangwei Yu, Wei Zhang, Jun Tang, Jianbin Li, Yu Li, Hong Wang, Jiezeng Jiang

Bibliographic record

VenueCanadian Journal of Plant Pathology · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Disease Resistance and Genetics
Canadian institutionsnot available
FundersNational Key Research and Development Program of ChinaNatural Science Foundation of Jiangsu ProvinceNational Natural Science Foundation of ChinaJiangsu Agricultural Science and Technology Innovation Fund
KeywordsClubrootBiologyGeneBrassica oleraceaTranscriptomeGeneticsBrassicaceaeArabidopsis thalianaArabidopsisPlant disease resistanceGene expressionBotanyBrassicaMutant

Abstract

fetched live from OpenAlex

Clubroot caused by Plasmodiophora brassicae is an economically important disease of crucifer crops throughout the world and is a major threat to the quality and yield of cabbage (Brassica oleracea var. capitata L.) in China. Host resistance is essential for clubroot management. Although two cabbage lines (clubroot-resistant line CR21 and clubroot-susceptible line CS54) have been identified through screening 80 cabbage accessions, the molecular mechanisms underlying differential responses to clubroot remain elusive. Herein, RNA-seq analysis was performed to characterize the transcriptomic changes in CR21 and CS54 at 3 days after P. brassicae inoculation (DAI). In total, 1057 and 4741 differentially expressed genes (DEGs) were found in CR21 and CS54, respectively. Moreover, 541 genes were up-regulated in CR21, but showed either no significant change or were down-regulated in CS54. Gene Ontology (GO) analysis showed that most DEGs were involved in metabolism, transport, signal transduction and defence. Compared with the identified putative defence response genes in Arabidopsis thaliana, 165 resistance-related DEGs were obtained, including PAMPs-triggered immunity (PTI)-related genes and Effector-triggered-immunity (ETI)-related genes. Interestingly, the co-supported defence response DEGs contained the defence-related genes, wound response genes, RBOHB, WRKY28, TIR-NBS-LRR class (RPS4 etc.), pathogenesis-related (PR) gene (Bo7g005050), lipid transfer protein class (LTP1 etc.), plant hormone-related genes, ethylene signalling transduction (HRE1-like gene and EIN3), ABA signalling (PP2C and PYL13), and cell wall modification related genes (EXP17 and PME44, beta-1,3-glucanase and cytochrome P450 genes). Taken together, this study provided a comprehensive insight into transcriptomic responses to P. brassicae infection in two different cabbage lines, and identified several candidate genes that might contribute to clubroot resistance in cabbage and other Brassica crops.

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 score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.012
GPT teacher head0.206
Teacher spread0.193 · 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

Citations16
Published2019
Admission routes1
Has abstractyes

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