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Genome-wide identification and expression profiles of the superoxide dismutase (SOD) genes in Lentinula edodes

2025· article· en· W4413389190 on OpenAlexaff
Pei Yu, Chang Ma, Qi Gao, Dong Yan, Yuanyuan Liu, Jianping Xu, Yu Liu, Xianchun Zong, Shouxian Wang, Yangyang Fan

Bibliographic record

VenueInternational Journal of Biological Macromolecules · 2025
Typearticle
Languageen
FieldMedicine
TopicFungal Biology and Applications
Canadian institutionsMcMaster University
FundersAgriculture Research System of ChinaBeijing Academy of Agricultural and Forestry SciencesNational Natural Science Foundation of China
KeywordsLentinulaSuperoxide dismutaseGeneIdentification (biology)BiologyGeneticsGenomeGene expressionMolecular biologyBiochemistryEnzymeFood scienceBotany

Abstract

fetched live from OpenAlex

The superoxide dismutase (SOD) enzymes are a group of key enzymes involved in oxidative stress defense and play a significant role in organismal growth and development. The SOD gene family has been identified in many plants, animals, and some fungi but not in the economically important edible mushroom Lentinula edodes. In this study, members of the SOD gene family of L. edodes were identified and analyzed using bioinformatic methods. Three proteins containing signature SOD domains were identified in each of the two monokaryotic strains SP3 and SP30 of L. edodes, and all six proteins belonged to the major Fe/Mn-SOD type. Phylogenetic analysis revealed that these LeSOD genes were classified into two subtypes, with members of each type sharing the same conserved motifs. Transcriptome data of mycelia grown under different conditions showed that LeSOD1 was significantly up-regulated under heat stress, while LeSOD2 was significantly up-regulated under hydrogen peroxide stress. Together, the genomic and transcriptomic analyses suggest that LeSOD1 and LeSOD2 are key genes for L. edodes to respond to abiotic stresses. This study provides a foundation for understanding both the roles of the SOD gene family and the molecular mechanism by which L. edodes responds to heat and oxidative stresses.

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 score0.321
Threshold uncertainty score0.166

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 head0.014
GPT teacher head0.291
Teacher spread0.277 · 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
Published2025
Admission routes1
Has abstractyes

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