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Record W4403044867 · doi:10.1016/j.isci.2024.111092

Identification and characterization of MADS-box gene family in flax, Linum usitatissimum L. and its role under abiotic stress

2024· article· en· W4403044867 on OpenAlexaff
Jianyu Lu, Hanlu Wu, David Michael Pitt, Xin‐Yang Liu, Xixia Song, Hongmei Yuan, Yuntao Ma, Shuyao Li, Zhenyuan Zang, Jun Zhang, Michael K. Deyholos, Jian Zhang

Bibliographic record

VenueiScience · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Molecular Biology Research
Canadian institutionsOkanagan University CollegeUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
FundersJiangsu Provincial Department of Human Resources and Social SecurityJilin Agricultural University
KeywordsLinumMADS-boxAbiotic stressIdentification (biology)GeneBiologyAbiotic componentGene familyGeneticsBotanyArabidopsisGene expressionEcology

Abstract

fetched live from OpenAlex

<h2>Summary</h2> MADS-box transcription factors play critical roles in plant development and stress responses. In this study, we identified 114 <i>LuMADS</i> genes in flax (<i>Linum usitatissimum</i> L.) and analyzed their phylogenetic relationships, gene structure, conserved motifs, miRNA targets, and expression patterns. We classified 45 <i>LuMADS</i> proteins as type I and 69 as type II, further subdivided into 11 subfamilies. Notably, lus-miR396 and lus-miR156 were identified as primary miRNA targets. <i>Cis</i>-acting elements in the promoter regions suggested roles in hormone and stress responses. Expression analysis revealed type II <i>LuMADS</i> genes were associated with floral organ formation and abiotic stresses such as cold, drought, and salt. This research provides insights for improving flax stress resistance and breeding.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.769
Threshold uncertainty score0.094

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 head0.260
Teacher spread0.241 · 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

Citations5
Published2024
Admission routes1
Has abstractyes

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