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Record W4409694828 · doi:10.1038/s41598-025-98467-1

Genome-wide identification of SABATH gene family in soybean relate to salt, aluminum, chromium toxicity

2025· article· en· W4409694828 on OpenAlexaff
Ke Wen, Liying Feng, Tiantian Han, Haicui Suo, Hailong Ren, Qinghua Yuan, Ziyi Wu, Xingang Li, Daolong Liao

Bibliographic record

VenueScientific Reports · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicGABA and Rice Research
Canadian institutionsMinistry of Agriculture
Fundersnot available
KeywordsToxicityGeneGenomeIdentification (biology)Salt (chemistry)ChromiumComputational biologyBiologyGeneticsBioinformaticsChemistryMedicineBotanyMaterials scienceInternal medicineMetallurgy

Abstract

fetched live from OpenAlex

SABATH gene family in plants participates in metabolic processes such as methylation of various hormones and plays an essential role in plant response to abiotic stress. In this study, we identified and sequenced 28 SABATH genes in soybean and divided them into three groups. Genome mapping annotation suggested that tandem repeat was the cause of SABATH gene amplification in soybean. Phylogenetic and homology analyses show that the three groups may have originated from different ancestors. Transcriptome analysis was performed in six soybean tissues using data from public transcriptome. In addition, transcriptome and gene expression analyses revealed their expression patterns under different soybean varieties and various abiotic stresses. These results reveal the differential expression of GmSABATHs gene under these stresses, indicating their potential role in the mechanism of soybean adapting to environmental challenges. These results provide reference information for the evolutionary study of the SABATH family and the potential role of GmSABATHs in soybean resistance to abiotic stress.

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)0.003
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 score0.726
Threshold uncertainty score0.220

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
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 head0.261
Teacher spread0.243 · 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

Citations2
Published2025
Admission routes1
Has abstractyes

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