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Transcriptomic and metabolomic analyses of non-structural carbohydrates in red maple leaves

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Abstract

Plant sugars serve to balance nutrition, regulate development, and respond to biotic and abiotic stresses, whereas non-structural carbohydrates (NSCs) are essential energy sources that facilitate plant growth, metabolism, and environmental adaptation. To better elucidate the mechanisms of NSCs in red maple, ultrahigh-performance liquid chromatograph Q extractive mass spectrometry (UHPLC-QE-MS) and high-throughput RNA-sequencing were performed on green, red, and yellow leaves from a selected red maple mutant. In green leaves, the fructose phosphorylation process exhibited greater flux. In yellow leaves, sucrose and starch had a stronger capacity for synthesis and degradation, whereas in red leaves, there was a greater accumulation of trehalose and manninotriose. ArTPS5 positively regulated amylose, which was negatively regulated by ArFBP2, whereas ArFRK2 and ArFBP13 played a positive role in the biosynthesis of Sucrose-6P. Sucrose-6P also regulated anthocyanins and abscisic acid in red maple by affecting transcription factors. The results of this paper can assist with the control and optimization of the biosynthesis of NSCs in red maple, which may ultimately provide the foundation for influencing sugar production in Acer.

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Data availability

The datasets generated and analyzed during the current study (SRA accession number PRJNA531583) has been released on NCBI (https://www.ncbi.nlm.nih.gov/). The metabolomics and metadata reported in this paper are available at www.ebi.ac.uk/metabolights/MTBLS903 study identifier MTBLS903.

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Funding

Anhui Provincial Natural Science Foundation (1908085QC113), supported Zhu Chen; Major Research and Development Projects in Anhui Province (202004a06020019), supported Jie Ren; Study on Breeding and Cultivation Techniques of Sugar Maple (AHLYCX-2019-16), supported Songling Fu; Ningbo Scientific and Technological Innovation 2025 Major Projects (2019B10012), supported Zhiyong Zhu; National Natural Science Foundation of China (31600543), supported Jie Ren.

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Authors and Affiliations

Authors

Contributions

Conceptualization: Jie Ren and Songling Fu. Methodology: Xiaoyu Lu and Zhu Chen. Formal analysis and investigation: Xiaoyu Lu and Zhu Chen. Writing-original draft preparation: Xiaoyu Lu. Writing-review and editing: Xinyi Deng and Mingyuan Gu. Funding acquisition: Jie Ren, Zhu Chen, Songling Fu, and Zhiyong Zhu. Resources: Songling Fu and Zhiyong Zhu.

Corresponding authors

Correspondence to Jie Ren or Songling Fu.

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Conflict of interest

The authors declare no competing interests.

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Supplementary information

Fig. S1

Flowchart of informatics analysis and processing of sequencing data (PNG 12117 kb)

High resolution image (TIF 821 kb)

Fig. S2

Statistical analysis of transcriptome. GO (a) and KEGG (b) annotation of red maple transcripts. c. Venn diagram of number of transcripts annotated by BLASTx against protein databases. Volcano plots of DEGs in RL vs. GL (d), YL vs. GL (e), and RL vs. YL (f) comparative groups (PNG 106488 kb)

High resolution image (TIF 7587 kb)

Fig. S3

PCA score plots of GL-RL (a), GL-YL (b) and RL-YL (c) in positive mode. PLS-DA of GL-RL (d), GL-YL (e) and RL-YL (f) in negative mode (PNG 32442 kb)

High resolution image (TIF 5776 kb)

Fig. S4

OPLS-DA score plots of GL-RL (a), GL-YL (b) and RL-YL (c) in positive mode. PLS-DA of GL-RL (d), GL-YL (e) and RL-YL (f) in negative mode (PNG 344215 kb)

High resolution image (TIF 2369 kb)

Fig. S5

Expression level of ArZIP22 (PNG 546 kb)

High resolution image (TIF 87 kb)

Fig. S6

Expression level of ArMEX1 (PNG 544 kb)

High resolution image (TIF 83 kb)

Fig. S7

Content of ABA in red maple (PNG 366 kb)

High resolution image (TIF 59 kb)

Fig. S8

Content of total anthocyanins determined by HPLC in red maple (PNG 339 kb)

High resolution image (TIF 57 kb)

Table. S1

Gradient elution in HPLC analysis (XLSX 8 kb)

Table. S1

FPKM value of NSC-related genes in red maple (XLSX 28 kb)

Table. S2

Integral quantitative value of NSC-related metabolites in red maple (XLSX 9 kb)

Table. S3

Genes-metabolites Spearman correlation test in NSC pathways (XLSX 14 kb)

Table. S4

FPKM value of sugar-responsive transcription factors in red maple (XLSX 9 kb)

Table. S5

Integral quantitative value of hormone metabolites in red maple (XLSX 9 kb)

Table. S6

NSC-SRTF-Hormones Spearman correlation test in red maple (XLSX 13 kb)

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Lu, X., Chen, Z., Deng, X. et al. Transcriptomic and metabolomic analyses of non-structural carbohydrates in red maple leaves. Funct Integr Genomics 21, 265–281 (2021). https://doi.org/10.1007/s10142-021-00776-x

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  • DOI: https://doi.org/10.1007/s10142-021-00776-x

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