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Record W4415567263 · doi:10.3389/fpls.2025.1684431

Identification of the tetraspanin gene family in sugarcane and its response to sugarcane mosaic virus infection

2025· article· en· W4415567263 on OpenAlexaff
Zhiyuan Cui, Yifei Li, Kang Zeng, Zongtao Yang, Quanxin Yu, Haoming Liu, Hai Zhang, Guoqiang Huang, Jingsheng Xu

Bibliographic record

VenueFrontiers in Plant Science · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSugarcane Cultivation and Processing
Canadian institutionsMinistry of Agriculture
Fundersnot available
KeywordsTetraspaninIdentification (biology)GenePotyvirusPlant virusGene familyMechanism (biology)Host (biology)

Abstract

fetched live from OpenAlex

Introduction Sugarcane mosaic virus (SCMV, Potyvirus ) causes mosaic diseases and seriously threatens sugarcane production. Potyviral 6K2 protein plays a key role in viral infections. We previously screened a tetraspanin (TET)-like protein that interacts with SCMV-6K2 from a sugarcane cDNA yeast library. Although TETs have been extensively studied in response to viral infections in animals, the TET gene family in sugarcane and its role in SCMV infections remain largely unknown. This study aimed to identify the TET genes in sugarcane and determine their response to SCMV infection. Methods We employed genome-wide identification, phylogenetic analysis, real-time quantitative PCR (RT-qPCR), subcellular localization, and multiple protein–protein interaction assays to characterize TETs and their interactions with viral 6K2 proteins. Results We identified 35, 113, 73, and 17 TETs in the genomes of Saccharum sp ontaneum , sugarcane cultivar R570, sugarcane cultivar Xintaitang 22 (XTT22), and Nicotiana benthamiana , respectively. Phylogenetic tree analysis classified the TETs into nine distinct groups. Nine TET genes were cloned from XTT22 and designated ScTET2 , ScTET8 , ScTET13 , ScTET23 , ScTET34 , ScTET55 , ScTET67 , ScTET78 , and ScTET96 . RT-qPCR demonstrated the differential expression of these genes following SCMV infection. Furthermore, subcellular localization assays revealed that they were mainly localized to the plasma membrane (PM), except for ScTET2 and ScTET8, which were localized in the cytoplasm and formed irregular spherical structures of different sizes. Yeast two-hybrid (Y2H), bimolecular fluorescent complementation, and luciferase complementation assays revealed extensive interactions between the ScTETs and SCMV-6K2, primarily in the PM. Y2H assays also showed that TETs of Arabidopsis and N. benthamiana extensively interacted with the 6K2 protein of turnip mosaic virus. Discussion This study reveals a potential mechanism by which potyviruses employ 6K2 to interact with TETs to establish infection in host plants, thus highlighting potential molecular targets for engineering sugarcane resistance against SCMV.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.237
Teacher spread0.223 · 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 source (direct Gemma or distilled Codex), 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".

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Citations1
Published2025
Admission routes1
Has abstractyes

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