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ORIGINAL RESEARCH article

Front. Plant Sci.
Sec. Functional and Applied Plant Genomics
Volume 15 - 2024 | doi: 10.3389/fpls.2024.1467006
This article is part of the Research Topic Research on Brassicaceae Crops Genomics and Breeding, Volume II View all 7 articles

Integratedly analyzed quantitative proteomics with transcriptomics to discover key genes via fg-1 non-heading mutant in the early heading stage of Chinese cabbage

Provisionally accepted
  • Hebei Agricultural University, Baoding, China

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

    Leaf heading is an important agronomic trait of Chinese cabbage directly affecting its yield. The leaf-heading formation of Chinese Cabbage is controlled by its internal genotype and external environmental factors, the underlying mechanism remains poorly understood. To discover the leaf heading formation mechanism more deeply, this study analyzed the correlations between proteomic and transcriptomic data in the leaf heading formation mutant fg-1 generated by EMS. iTRAQ-based quantitative proteomics techniques were performed to identify the protein expression profiles during the key periods of the early heading stage in the section of the soft leaf apical region (section a) and the whole leaf basal region (section d). We first identified 1246 differentially expressed proteins (DEPs) in section a and 1055 DEPs in section d. Notably, transcriptome-proteome integrated analysis revealed that 207 and 278 genes showed consistent trends at the genes' and proteins' expression levels in the section a and section d, respectively. KEGG analyses showed phenylpropanoid biosynthesis pathway were enrichment both in the section a and d. Furthermore, 86 TFs exhibited co-upregulated or co-downregulated and 7 out of 86 were involved in plant hormone synthesis and signal transduction pathways. This indicates they are potentially related to the leaf heading formation in Chinese cabbage. Taken together, we have idetified several key early heading formation related factors via integration analysis of the transcriptomics and proteomics data. This provides sufficient gene resources to discover the molecular mechanism of leaf heading formation.

    Keywords: Brassica rapa, Leaf heading, fg-1 EMS mutant, Quantitative proteomics techniques, Integration analysis

    Received: 19 Jul 2024; Accepted: 23 Sep 2024.

    Copyright: © 2024 Li, Fan, Zhang, Yang, Hou, Yang, Li, Xuan and Zhao. 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:
    Shuxin Xuan, Hebei Agricultural University, Baoding, China
    Jianjun Zhao, Hebei Agricultural University, Baoding, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.