Combining Transcriptome Analysis and Comparative Genomics to Identify Key Components of the Lignin Biosynthesis Gene Network in Sorghum bicolor
Sorghum is a versatile crop that serves as a major source of food, feed, fodder and biofuel globally. Lignin content in sorghum affects multiple important traits, including lodging resistance, forage digestibility and the efficiency of bioenergy production. However, the genetic regulation of lignin content in sorghum remains poorly understood. In this study, we combined transcriptomic and comparative genomic approaches to uncover the genetic network underlying lignin biosynthesis in sorghum. Through comparative genomic analysis, we identified 104 candidate genes involved in lignin biosynthesis. Transcriptome analysis of four sorghum accessions with contrasting lignin contents identified 6132 differentially expressed genes with an enrichment of genes related to phenylpropanoid biosynthesis and cell wall biogenesis. The 104 lignin biosynthesis candidates were significantly enriched (p-value < 0.01) in these differentially expressed genes, with most differentially expressed candidate genes related to monolignol biosynthesis and polymerization being up-regulated in high-lignin accessions. These up-regulated genes are related to all key enzymes involved in lignin biosynthesis, suggesting that the elevated lignin content in these accessions results from a collective increase in enzyme activity. Sequence analysis revealed a significant reduction in genetic diversity across lignin biosynthesis genes in cultivated sorghum compared to wild sorghum. Moreover, selection signals during domestication were identified in 30 lignin biosynthesis genes, 22 of which were differentially expressed, further supporting the functional relevance of these differentially expressed genes in lignin biosynthesis. Overall, our findings uncover the lignin biosynthesis gene network in sorghum and offer potential targets for future functional studies and trait manipulation.
Authors
- Haisheng Yan
- Yongfu Tao (ORCID: https://orcid.org/0000-0001-9096-7407)
- Yubin Wang (ORCID: https://orcid.org/0009-0009-1831-0772)
- Hetan Chang (ORCID: https://orcid.org/0000-0002-5204-7332)
- Junai Ping (ORCID: https://orcid.org/0000-0002-8361-9217)
- Jianqiang Chu
- Lan Ju
- Xiaoqiang Cheng
- Hongru Wang (ORCID: https://orcid.org/0000-0001-8305-5231)
- Hao Niu (ORCID: https://orcid.org/0000-0002-9656-4497)
- Yancong Zhang (ORCID: https://orcid.org/0000-0002-2768-2975)
- Yao Wang (ORCID: https://orcid.org/0000-0002-7149-4234)
- Yanbo Wang (ORCID: https://orcid.org/0009-0002-9099-2551)
- Fangfang Fan (ORCID: https://orcid.org/0000-0002-1519-8326)
- Xin Lv (ORCID: https://orcid.org/0009-0003-1339-2074)
Institutions
- Shanxi Agricultural University (CN)
- Agricultural Genomics Institute at Shenzhen (CN)
- Taiyuan Heavy Industry (China) (CN)
- Chinese Academy of Agricultural Sciences (CN)
- Ministry of Agriculture and Rural Affairs (CN)
Publication Details
- Journal
- Agronomy
- Published
- 2025-07-21
- DOI
- https://doi.org/10.3390/agronomy15071751
- Primary Topic
- Plant Gene Expression Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Shanxi Agricultural University
- Shanxi Provincial Key Research and Development Project