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ORIGINAL RESEARCH article
Front. Plant Sci.
Sec. Plant Breeding
Volume 16 - 2025 | doi: 10.3389/fpls.2025.1532216
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Lodging has become an important factor limiting oats production. To understand the relationship between oat lodging and stem growth, we selected three oat cultivars with different lodging resistance traits and conducted a detailed analysis of their stem physicochemical properties, and transcriptome sequencing on them at different growth stages were performed. Results showed that important plant characteristics like: length of the second stem internode, stem wall thickness, breaking force, mechanical strength, soluble sugar, starch, lignin, and silicon content were closely related to oat lodging performance. With the growth of the second stem internode at the base of oats, the number of co-expressed differentially expressed genes (DEGs) increased. And DEGs were specifically enriched in starch and sucrose metabolism, phenylpropanoid biosynthesis, MAPK signaling pathway-plant and carbon metabolism. There were many TF family types among the different comparison groups, and p450, Myb_DNA-binding, WRKY, and AP2 families accounted for the most. Additionally, there was a specific high expression of genes related to the synthesis of cellulose (CesA9, CesA7, and CesA4) and lignin (CCR1, 4CL8, and 4CL3) in lodging-resistant cultivar and middle lodging-resistant cultivar. WGCNA analysis identified genes closely related to lodging resistance, namely MBF1c, SKP1, and CAND1, which were specifically up-regulated on the 35th day of growth in the second stem internode of the highly resistant 'LENA'. These genes can all serve as positive regulatory factors for oat lodging. Ultimately, our work analyzed the transcriptional network regulatory relationships, laying the foundation for elucidating the physiological and genetic mechanisms of oat lodging resistance, and providing excellent genetic resources for oat and other crop breeding.
Keywords: lodging-resistant, Transcriptome sequencing, Differentially expressed genes, weighted gene co-expression network analysis (WGCNA), Avena sativa
Received: 21 Nov 2024; Accepted: 14 Mar 2025.
Copyright: © 2025 YU, Zhang, Ma, Jia, Li, Li and Liu. 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:
Ran Zhang, Chinese Academy of Forestry, Beijing, China
Xiaoxia Li, Chinese Academy of Forestry, Beijing, 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.
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