Precision Control of Transcriptional Networks: Decoding Genetic Circuits for Enhanced Crop Resilience and Yield

A special issue of Plants (ISSN 2223-7747). This special issue belongs to the section "Crop Physiology and Crop Production".

Deadline for manuscript submissions: 30 December 2026 | Viewed by 419

Special Issue Editors

College of Agronomy, Hunan Agricultural University, Changsha 410128, China
Interests: rice; transcription factor; miRNA; crop improvement; genome editing
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Guest Editor
College of Agriculture, South China Agricultural University, Guangzhou 510642, China
Interests: rice; transcription factor; single-cell sequencing; breeding

Special Issue Information

Dear Colleagues,

In the face of escalating global challenges—climate volatility, population growth, and dwindling arable land—the quest for sustainable crop improvement demands a paradigm shift from traditional breeding to predictive, mechanism-driven strategies. At the heart of this transition lies the intricate world of transcriptional networks, where transcription factors (TFs) act as master regulators orchestrating plant growth, nutrition uptake, stress adaptation, and resource allocation. This Special Issue will highlight breakthroughs in understanding how transcriptional circuits integrate environmental and developmental signals, and how such knowledge can be translated into precision crop design.

We aim to highlight cutting-edge research examining molecular mechanisms—including TF-DNA binding specificity, epigenetic modifications, and multi-omics network dynamics—and translational strategies in order to harness these insights for crop improvement. Submissions may explore CRISPR-based TF engineering, synthetic promoter design, or the AI-driven modeling of transcriptional logic, with an emphasis on field applications such as drought tolerance, nitrogen efficiency, and yield optimization. This Special Issue will prioritize systems-level approaches to mitigate pleiotropy and achieve trait precision, combining molecular discoveries with agronomic outcomes. We welcome interdisciplinary contributions from plant biologists, bioengineers, and computational scientists to collectively advance the frontier of transcriptional network engineering for climate-resilient agriculture.

Dr. Bohan Liu
Dr. Wenyi Wang
Guest Editors

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Keywords

  • transcription factors
  • stress adaptation
  • crop improvement
  • yield improvement
  • CRISPR/cas

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Published Papers (1 paper)

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Research

20 pages, 11402 KiB  
Article
Identification and Characterization of NAC Transcription Factors Involved in Pine Wilt Nematode Resistance in Pinus massoniana
by Zhengping Zhao, Jieyun Lei, Min Zhang, Jiale Li, Chungeng Pi, Jinxiu Yu, Xuewu Yan, Kun Luo and Yonggang Xia
Plants 2025, 14(15), 2399; https://doi.org/10.3390/plants14152399 - 3 Aug 2025
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Abstract
Pinus massoniana Lamb. is an economically important conifer native to China. However, it is highly susceptible to the pine wood nematode (Bursaphelenchus xylophilus, PWN), the causal agent of pine wilt disease (PWD), resulting in substantial ecological and economic losses. To elucidate [...] Read more.
Pinus massoniana Lamb. is an economically important conifer native to China. However, it is highly susceptible to the pine wood nematode (Bursaphelenchus xylophilus, PWN), the causal agent of pine wilt disease (PWD), resulting in substantial ecological and economic losses. To elucidate potential molecular defense mechanisms, 50 NAC (NAM, ATAF1/2, and CUC2) transcription factors (PmNACs) were identified in the P. massoniana genome. Phylogenetic analysis divided these PmNACs into seven subfamilies, and motif analysis identified ten conserved motifs associated with stress responses. Twenty-three genes were selected for expression analysis in various tissues and under exogenous salicylic acid (SA), methyl jasmonate (MeJA), and PWN infection. Six genes (PmNAC1, PmNAC8, PmNAC9, PmNAC17, PmNAC18, and PmNAC20) were significantly up-regulated by both hormonal treatment and PWN infection, implying their involvement in JA/SA-mediated immune pathways. Functional characterization showed PmNAC8 is a nuclear-localized transcription factor with autoactivation activity. Furthermore, transient overexpression of PmNAC8 in Nicotiana benthamiana induced reactive oxygen species (ROS) accumulation and necrotic lesions. Collectively, these results elucidate NAC-mediated defense responses to PWN infection in P. massoniana and identify candidate genes for developing PWD-resistant pine varieties. Full article
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