ORIGINAL RESEARCH article

Front. Plant Sci.

Sec. Functional and Applied Plant Genomics

Volume 16 - 2025 | doi: 10.3389/fpls.2025.1622956

This article is part of the Research TopicNew Insights into Integrated Environmental Signals and Plant AdaptationView all 3 articles

Integrated morphophysiological, transcriptomic, and metabolomic data uncover the molecular mechanism of environmental adaptation of Zanthoxylum armatum with different latitudinal gradients

Provisionally accepted
  • 1College of Smart Agriculture, Chongqing University of Arts and Sciences, Chongqing, China
  • 2Bamboo Research Institute, Chongqing Academy of Forestry, Chongqing, China
  • 3Chongqing Agricultural Technology Promotion General Station, Chongqing, China
  • 4Rongchang District Forestry Science and Technology Extension Station of Chongqing, Chongqing, China

The final, formatted version of the article will be published soon.

Introduction: Leaves are sensitive to environmental changes and directly reflect the degree of environmental impact on plants and their ability to adapt to the environment, making it crucial to understand the genetic mechanisms underlying leaf variation. Zanthoxylum armatum is a widely distributed and economically important forest species in China that shows remarkable regional adaptability. However, adaptive differences under diverse environmental conditions and their molecular mechanisms have not been systematically studied.Methods: Plant materials of Z. armatum from three regions (Shandong, Chongqing, and Yunnan) representing different latitudinal backgrounds were cultivated under uniform conditions. Morphological, physiological, and biochemical traits were measured, including stomatal density, nutrient content, antioxidant capacity, and chlorophyll level. Transcriptomic and metabolomic profiling were conducted using RNA-seq and UPLC-MS/MS, respectively. Differential expression and enrichment analyses (GO, KEGG), gene family screening, and correlation analyses were used to identify key genes and metabolites. Selected gene expression patterns were further validated using qRT-PCR.

Keywords: Zanthoxylum armatum, Transcriptome, Metabolome, RT-qPCR, Environmental adaptability

Received: 05 May 2025; Accepted: 10 Jun 2025.

Copyright: © 2025 yuan, Fu, Sun, Deng, Liu, Tong, Kuang, Tang, Yang, Liu and Chen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Xia Liu, College of Smart Agriculture, Chongqing University of Arts and Sciences, Chongqing, China
Zexiong Chen, College of Smart Agriculture, Chongqing University of Arts and Sciences, Chongqing, China

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