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Record W2942738058 · doi:10.33915/etd.3782

GENETIC REGULATION OF THE ELICITATION OF GLYCEOLLIN BIOSYNTHESIS IN SOYBEAN

2019· dissertation· en· W2942738058 on OpenAlexfundno aff
Md Asraful Jahan

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Gene Expression Analysis
Canadian institutionsnot available
FundersAgriculture and Agri-Food CanadaNational Institute of Food and AgricultureIowa State UniversityU.S. Department of Agriculture
KeywordsElicitorPhytophthora sojaeIsoflavonoidPhytoalexinWRKY protein domainBiologyAbiotic componentAbiotic stressFlavonoid biosynthesisRNA interferencePhytophthora infestansBiochemistryTranscriptomeBotanyPhytophthoraFlavonoidGeneGene expressionAntioxidantRNA

Abstract

fetched live from OpenAlex

Glyceollin phytoalexins are the pathogen-elicited defense metabolites that belong to the isoflavonoid family of molecules of soybean (Glycine max L. Merr). Phytophthora root and stem rot of soybean caused by Phytophthora sojae is a destructive disease throughout the soybean-growing regions worldwide causing devastating economic damages (globally $1-2 billion and over $250 million in the USA) every year. Engineering soybean plants that produce higher levels of glyceollins could confer resistance against this pathogen. Glyceollins also show anticancer and neuroprotective activities in mammals, therefore they are important for agriculture and medical research. Firstly, we were interested in understanding how biotic and chemical elicitors regulate glyceollin biosynthesis differently. We found that combining the biotic elicitor WGE (wall glucan elicitor) extracted for P. sojae and the chemical elicitor silver nitrate had an additive effect on the elicitation of glyceollins I. They elicited glyceollins by separate biosynthetic mechanisms. We treated soybean seedlings with a panel of abiotic stress conditions and found that acidic medium elicited the highest amount of glyceollins in root tissues of 1700µg gt-1 (gram tissue, Fresh Weight). Then we focused on the identification of transcription factors (TFs) that regulate the biosynthesis of glyceollins in response to abiotic and biotic stress. Based on a comparative transcriptomics approach using RNA-seq, we chose to functionally characterize the NAC (NAM/ATAF1/CUC2) family TF GmNAC42-1, a homolog of the camalexin regulator ANAC042 from Arabidopsis and an R2R3-MYB (myeloblastosis)-type TF GmMYB29A2, the homolog of the stilbene regulator VvMYB14 from grapevine. Overexpressing and RNAi silencing of GmNAC42-1 and GmMYB29A2 in WGE-elicited hairy roots resulted in significantly increased and decreased accumulation of glyceollin metabolites and biosynthesis gene transcripts such as glycinol 4-dimethylallyl transferase (G4DT) and isoflavone synthase2 (IFS2). The GmNAC42–1 and GmMYB29A2 proteins directly bound the promoters of glyceollin biosynthesis genes IFS2 and G4DT in the yeast one-hybrid (Y1H) system and localized to the nucleus when expressed with an N-terminal green fluorescent protein (GFP) tag. EMSA (Electrophoretic Mobility Shift Assay) confirmed that MYB29A2 protein binds glyceollin gene promoters. Overall, our findings indicate that GmNAC42–1 and GmMYB29A2 are essential components of a glyceollin gene regulatory network (GRN) and could be used for the large-scale, economic bioproduction of glyceollins for therapeutic use and to enhance resistance against P. sojae.

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 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 score0.065
Threshold uncertainty score0.417

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)0.0000.000

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 head0.005
GPT teacher head0.232
Teacher spread0.227 · 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.

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

Citations1
Published2019
Admission routes1
Has abstractyes

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