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Record W4412730262 · doi:10.1186/s12870-025-06767-5

Transcriptome-based analysis reveals key molecular mechanisms and functional characterization of MaCAX3 gene involved in manganese stress responses in mulberry plants

2025· article· en· W4412730262 on OpenAlexaff
Jianbin Li, Michael Ackah, Frank Kwarteng Amoako, Aaron T. Asare, Manman Shen, Zhenjiang Wang, Qiang Lin, Changyu Qiu, Meina Zhu, Mengdi Zhao, Weiguo Zhao

Bibliographic record

VenueBMC Plant Biology · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Stress Responses and Tolerance
Canadian institutionsMinistry of Agriculture
FundersNatural Science Foundation of Jiangsu ProvinceGovernment of Jiangsu Province
KeywordsBiologyTranscriptomeReactive oxygen speciesGeneBiochemistryLigninToxicityHemicelluloseAbiotic stressGene expressionBotanyChemistry

Abstract

fetched live from OpenAlex

Abstract Background Manganese (Mn) deficiency and toxicity are major constraints on crop production in soil. Plants have evolved cascade strategies and specific mechanisms to tolerate these stresses. Understanding the molecular mechanisms of tolerance to Mn stress is crucial for improving the efficiency of conferring Mn tolerance and phytoremediation, which is intriguing for evolutionary research on plant adaptation to abiotic stresses. In this study, the responses of mulberry to varied concentration levels of Mn (MnSO 4 ), ranging from deficiency (0 mM and 0.03 mM), sufficiency (0.15 mM), and toxicity regimes (1.5 mM and 3 mM) were compared by elucidating the physiological, transcriptome profiling, and functional characterization of the MaCAX3 gene in mulberry leaves. Results The results show that Mn-induced deficiency and toxicity not only trigger an increase in oxidation and antioxidant parameters, including hydrogen peroxide (H 2 O 2 ), lipid peroxidase (LPO), polyphenol oxidase (PPO), and reactive oxygen species (ROS) but also concomitantly improved the activities of total antioxidant capacity (TAC) and hydroxyl radical (•OH) scavenging levels in mulberry. Results of the cell wall structural components show that cellulose, hemicellulose, and lignin contents were significantly higher, except for pectin, in the control (CK) compared to the deficiency and toxicity. Functional validation of the MaCAX3 gene via gene silencing revealed that the heterologous expression of the MaCAX3 gene increased the transport of Mn in yeast, thus inhibiting the toxic effect of Mn relative to the silenced Macax3 -VIGS. Additionally, transcriptome analysis identified a total of 811 differentially expressed genes (DEGs), with 189 and 622 being up- and downregulated, respectively. These DEGs were significantly involved in Mn transport, detoxification, oxidation, antioxidant defense, and cell wall and protein processing, which conferred tolerance to Mn in mulberry plants. Conclusion The study sheds substantial light on key molecular mechanisms and the functional characterization and validation of crucial Mn tolerance genes in mulberry leaves.

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 score0.660
Threshold uncertainty score0.316

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.020
GPT teacher head0.226
Teacher spread0.206 · 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

Citations2
Published2025
Admission routes1
Has abstractyes

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