Evidence map›Paper›PMID 41749100›Full record

ArticleBMC plant biology2026

Identification, evolution, and expression analysis of the PEBP gene family in tobacco (Nicotiana tabacum) and its role in flowering regulation via interaction with 14-3-3 proteins.

Xinghui Liu, ZhiBo Zi, Mingming Sun, Wenxin Xie, Xinxiang Chen, Langlang Zhang, Mingfeng Yang, Minmin Xie, Mingli Chen, Zhiyuan Li and 2 more

Abstract read
In one paragraph

Article in BMC plant biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Xinghui LiuChongqing Key Laboratory of Big Data for Bio Intelligence, School of Life Health Information Science and Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China.
ZhiBo ZiAtushi City Seed Management Station, Xinjiang, China.
Mingming SunShandong Tobacco Industry Co., LT, Jinan, China.
Wenxin XieChongqing Key Laboratory of Big Data for Bio Intelligence, School of Life Health Information Science and Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China.
Xinxiang ChenChongqing Key Laboratory of Big Data for Bio Intelligence, School of Life Health Information Science and Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China.
Langlang ZhangChongqing Key Laboratory of Big Data for Bio Intelligence, School of Life Health Information Science and Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China.
Mingfeng YangShandong Tobacco Industry Co., LT, Jinan, China.
Minmin XieTobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, China.
Mingli ChenTobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, China.
Zhiyuan LiTobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, China.
Daping GongTobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, China. gongdaping@caas.cn.
Quan SunChongqing Key Laboratory of Big Data for Bio Intelligence, School of Life Health Information Science and Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China. sunquan@cqupt.edu.cn.

Funding

The Key Science and Technology Project of China National Tobacco Corporation 110202201007(JY-07)
6 · The paper itself

Abstract

The phosphatidylethanolamine-binding protein (PEBP) gene family plays a crucial role in regulating key biological processes in plants, such as flowering time, morphological architecture, and seed germination. However, the diversity, expression patterns, and functions of PEBP genes in Nicotiana tabacum remain largely unexplored. In this study, 32 PEBP gene family members were identified in Nicotiana tabacum and systematically classified into four subfamilies: FT-like (17 members), TFL1-like (9 members), MFT-like (2 members), and YbhB-like (4 members). Conserved motifs DPDxP and GxHR, essential for anion-binding activity, were identified in NtPEBPs. Promoter cis-acting element analysis indicated that NtPEBPs are extensively involved in light response, hormone regulation, stress response, and growth and development in tobacco. Transcriptome data revealed that some genes exhibit tissue-specific expression patterns, with certain NtBFT and NtTSF members showing high expression levels in leaves and flowers, while some members of the MFT-like and YbhB-like subfamilies were significantly expressed in dry capsules. Subcellular localization confirmed that NtATC4, NtBFT1, and NtBFT4 are localized in the cytoplasm, while NtFT7 is localized in both the nucleus and cytoplasm. Yeast two-hybrid and bimolecular fluorescence complementation assays further demonstrated that NtATC4, NtFT7, NtBFT1, and NtBFT4 can all interact with the Nt14-3-3 protein, suggesting their potential involvement in the tobacco flowering process through the formation of flowering regulatory complexes. Virus-induced gene silencing (VIGS) assays revealed that silencing of NtATC4 delays flowering and promotes vegetative growth. In NtATC4-silenced plants, the expression of flowering-related genes NbAP1 and NbSVP was upregulated, whereas NbSOC1 expression was downregulated. This study provides a comprehensive gene inventory and interaction dataset for further research on NtPEBPs and identifies candidate targets for molecular breeding in tobacco.

Indexed as

14-3-3 ProteinsFlowersNicotianaPhosphatidylethanolamine Binding ProteinPlant ProteinsEvolution, MolecularGene Expression Regulation, PlantGenes, PlantMultigene FamilyPhylogeny14-3-3 ProteinsPhosphatidylethanolamine Binding ProteinPlant Proteins14-3-3 proteinsFlowering regulationNicotiana tabacumPEBP gene familyVIGS

Identifiers

PMID41749100
PMCPMC13041300

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.