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Transcriptome analysis of leaf senescence in red clover (Trifolium pratense L.)

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Abstract

Red clover (Trifolium pratense L.) is an important cool-season legume plant, which is used as forage. Leaf senescence is a critical developmental process that negatively affects plant quality and yield. The regulatory mechanism of leaf senescence has been studied, and genes involved in leaf senescence have been cloned and characterized in many plants. However, those works mainly focused on model plants. Information about regulatory pathways and the genes involved in leaf senescence in red clover is very sparse. In this study, to better understand leaf senescence in red clover, transcriptome analysis of mature and senescent leaves was investigated using RNA-Seq. A total of about 35,067 genes were identified, and 481 genes were differentially expressed in mature and senescent leaves. Some identified differentially expressed genes showed similar expression patterns as those involved in leaf senescence in other species, such as Arabidopsis, Medicago truncatula and rice. Differentially expressed genes were confirmed by quantitative real-time PCR (qRT-PCR). Genes involved in signal transduction, transportation and metabolism of plant hormones, transcription factors and plant senescence were upregulated, while the downregulated genes were primarily involved in nutrient cycling, lipid/carbohydrate metabolism, hormone response and other processes. There were 64 differentially expressed transcription factor genes identified by RNA-Seq, including ERF, WRKY, bHLH, MYB and NAC. A total of 90 genes involved in biosynthesis, metabolism and transduction of plant hormones, including abscisic acid, jasmonic acid, cyokinin, brassinosteroid, salicylic acid and ethylene, were identified. Furthermore, 207 genes with direct roles in leaf senescence were demonstrated, such as senescence-associated genes. These genes were associated with senescence in other plants. Transcriptome analysis of mature and senescent leaves in red clover provides a large number of differentially expressed genes. Further analysis and identification of senescence-associated genes can provide new insight into the regulatory mechanisms of leaf development and senescence in legume plant and red clover.

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Acknowledgements

We thank Dr. Feifei Li from the Top Green Group for providing red clover seeds. The program was supported by the Fundamental Research Funds for the Central Universities (No. 2017ZY16), National Natural Science Foundation of China (Nos. 31672477 and 31601989) and Scientific Technology Plan Program of Shen Zhen (No. JCYJ20160331151245672).

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LH conceived and designed the research. YC, JY, TG and FL conducted experiments. YC and TG analyzed data. YC wrote the manuscript. LX provided suggestion and revised the manuscript. All authors read and approved the manuscript.

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Correspondence to Liebao Han.

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The authors declare that there is no conflict of interest.

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Figure S1. Pearson Correlation between samples (DOCX 83 kb)

Table S1. All genes identified by RNA-Seq at mature and senescence stages in red clover (XLS 11742 kb)

Table S2. List of genes that are differentially expressed during leaf senescence processes in red clover (XLS 119 kb)

Table S3. List of primers used for qRT-PCR (XLS 22 kb)

Table S4. List of leaf senescence orthologs between red clover and other species (XLS 238 kb)

Table S5. Enriched GO terms in biological process, cellular component and molecular function (XLS 268 kb)

Table S6. Enriched down-regulated pathways identified by KOBAS during leaf senescence in red clover (XLS 25 kb)

Table S7. Enriched up-regulated pathways identified by KOBAS during leaf senescence in red clover (XLS 23 kb)

Table S8. List of plant hormone pathway-related DEGs during leaf senescence in red clover (XLS 51 kb)

Table S9. List of transcription factor DEGs during leaf senescence in red clover (XLS 31 kb)

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Chao, Y., Xie, L., Yuan, J. et al. Transcriptome analysis of leaf senescence in red clover (Trifolium pratense L.). Physiol Mol Biol Plants 24, 753–765 (2018). https://doi.org/10.1007/s12298-018-0562-z

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  • DOI: https://doi.org/10.1007/s12298-018-0562-z

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