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Record W4414392794 · doi:10.3390/agronomy15092233

Genome-Wide Identification of the PLATZ Gene Family and Its Roles in Stress Responses in Flax (Linum usitatissimum L.) Based on the Telomere-to-Telomere Genome

2025· article· en· W4414392794 on OpenAlexaff
Jianyu Lu, Hanlu Wu, Hang Wang, Jinxi Li, Zhenyuan Zang, Guangwen Wu, Jian Zhang

Bibliographic record

VenueAgronomy · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Molecular Biology Research
Canadian institutionsUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
FundersJilin Agricultural University
KeywordsGene familyGeneLinumGene duplicationGenomeGene expression profilingAbiotic stressGene expression

Abstract

fetched live from OpenAlex

The PLATZ gene family influences plant growth, development, and responses to both biotic and abiotic stresses. Flax (Linum usitatissimum L.), an important oilseed and fiber crop, has not been extensively studied for its PLATZ genes. In this study, 27 LuPLATZ genes were identified in the recently assembled T2T (Telomere-to-Telomere) flax genome through bioinformatics analyses. Phylogenetic analysis grouped these genes into five subfamilies. Examination of gene structure and motifs showed conserved exon–intron arrangements and similar motif compositions within the same clade. Promoter analysis revealed that most cis-elements are associated with plant hormone responses (such as MeJA and ABA) and abiotic stresses, including anaerobic induction, drought, and low temperature. Duplication analysis identified 33 segmental duplication events, and miRNA target prediction indicated that lus-miR167 is the primary regulator of LuPLATZ genes. Expression profiling based on RNA-seq data showed high expression levels of most LuPLATZ genes in leaves and roots, and qRT-PCR confirmed their stress-responsive expression under cold, drought, and salt conditions, with LuPLATZ14 and LuPLATZ21 significantly upregulated in all treatments. Furthermore, overexpression of these two genes enhanced drought tolerance in yeast transformants.

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)0.001
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 score0.814
Threshold uncertainty score0.173

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.018
GPT teacher head0.242
Teacher spread0.224 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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