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Record W4414078470 · doi:10.1080/15592324.2025.2552895

Genome-wide identification and expression analysis of <i>NPR1-</i> like genes in pearl millet under diverse biotic and abiotic stresses and phytohormone treatments

2025· article· en· W4414078470 on OpenAlexaff
Jagatjeet Nayak, Jeky Chanwala, Baisista Saha, Nrisingha Dey, Soumya Ranjan Mahapatra, Namrata Misra, Mrunmay Kumar Giri

Bibliographic record

VenuePlant Signaling & Behavior · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant-Microbe Interactions and Immunity
Canadian institutionsPlant Biotechnology Institute
FundersScience and Engineering Research BoardKalinga Institute of Industrial Technology
KeywordsAbiotic componentGeneAbiotic stressSalicylic acidBiotic stressGene expressionGene familyTranscription factor

Abstract

fetched live from OpenAlex

Nonexpressor of pathogenesis-related genes 1 (NPR1) is a master regulator of salicylic acid (SA)- facilitated plant hormone signaling and plays a crucial role in plant defense through the activation of systemic acquired resistance (SAR). Although NPR1-like genes are associated with stress responses in a variety of plant species, no thorough genome-wide investigation of these genes has been undertaken in pearl millet (Pennisetum glaucum). This study discovered seven PgNPR1-like genes on four pearl millet chromosomes (Chr1, Chr2, Chr4, and Chr6), which exhibit close affinity to NPRs from other plants and have common gene structures, conserved motifs, and domains. The promoter regions of PgNPR1-like genes have numerous cis-acting elements connected with biotic and abiotic stresses, natural plant growth, and development. The qPCR results showed that PgNPR1-like genes were differentially expressed in distinct tissues, developmental stages, and under various biotic and abiotic stresses. Some putative NPR1-like genes, such as Pgl_GLEAN_10029279, Pgl_GLEAN_10004488, Pgl_GLEAN_10004489, and Pgl_GLEAN_10015079, showed considerable expression in response to abiotic stimuli such as heat, drought, and salinity. The PgNPR1-like gene Pgl_GLEAN_10029279 was observed to be differently expressed upon treatment of hormones such as SA and MeJA. Pgl_GLEAN_10029279 was also significantly expressed after Magnaporthe grisea infection, which causes blast in pearl millet. In silico expression study of the PgNPR1-like genes after Sclerospora graminicola infection, causing downy-mildew disease, revealed that Pgl_GLEAN_10029279 and Pgl_GLEAN_10004489 were significantly upregulated. In addition, the docking results also showed that Pgl_GLEAN_10029279 and Pgl_GLEAN_10007810 out of all seven PgNPRs have strong interactions with the ligand SA, which proves their potential involvement in SA signaling and hence plant defense. These results offer a firm framework for comprehending the roles and development of PgNPR1-like genes in pearl millet.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.683
Threshold uncertainty score0.215

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 head0.020
GPT teacher head0.239
Teacher spread0.219 · 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 designObservational
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

Citations3
Published2025
Admission routes1
Has abstractyes

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