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Depicting the molecular responses of adventitious rooting to waterlogging in melon hypocotyls by transcriptome profiling

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Abstract

Waterlogging is a severe abiotic stressor that inhibits crop growth and productivity owing to the decline in the amount of oxygen available to the waterlogged organs. Although melon (Cucumis melo L.) is sensitive to waterlogging, its ability to form adventitious roots facilitates the diffusion of oxygen and allows the plant to survive waterlogging. To provide comprehensive insight into the adventitious rooting in response to waterlogging of melon, global transcriptome changes during this process were investigated. Of the 17,146 genes expressed during waterlogging, 7363 of them were differentially expressed in the pairwise comparisons between different waterlogging treatment time points. A further analysis suggested that the genes involved in sugar cleavage, glycolysis, fermentation, reactive oxygen species scavenging, cell wall modification, cell cycle governing, microtubule remodeling, hormone signals and transcription factors could play crucial roles in the adventitious root production induced by waterlogging. Additionally, ethylene and ERFs were found to be vital factors that function in melon during adventitious rooting. This study broadens our understanding of the mechanisms that underlie adventitious rooting induced by waterlogging and lays the theoretical foundation for further molecular breeding of waterlogging-tolerant melon.

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All datasets obtained in this study are included in the manuscript and supplementary data.

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Acknowledgements

This work was supported by the Jiangxi Province Science Foundation for Youths (20192BAB214017), the Modern Agricultural Research Collaborative Innovation Program of Jiangxi Province (JXXTCXQN202007), the Innovation Program of Jiangxi Academy of Agricultural Sciences (20181CBS002), the China Agriculture Research System (CARS-25), the Modern Agricultural Research Collaborative Innovation Program of Jiangxi Province (JXXTCX202109), the Special Fund for Agro-scientific Research in the Public Interest (201503110-05), and the Science and Technology Support Program of Jiangxi Province (20151BBF60053).

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Contributions

FZ and ML designed the experiments. HZ conducted experiments and data analysis, and wrote the manuscript. GL conducted data analysis. CY, NC and HY revised the manuscript. All authors read and approved the manuscript.

Corresponding authors

Correspondence to Meiwang Le or Fanghong Zhu.

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The authors declare that they have no conflicts of interest.

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This article does not contain any studies with human participants or animal experiments.

Supplementary Information

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13205_2021_2866_MOESM1_ESM.docx

Supplementary file1 Suppl Table 1 The primer sequences for qRT-PCR. Suppl Table 2 The Pearson coefficient of samples. Suppl Table 3 An overview of gene expression level. Suppl Table 4 The detailed information of differentially expressed genes. Suppl Table 5 GO enrichment analysis of the four trend profiles in DEGs. Suppl Table 6 KEGG enrichment analysis of four trend profiles in DEGs. Suppl Table 7 KEGG enrichment analysis of the commonly up-regulated and down-regulated DEGs. Suppl Table 8 The DEGs associated with reactive oxygen species scavenging. Suppl Table 9 The DEGs of cellular activity-related genes. Suppl Table 10 The DEGs associated with hormone metabolism. Suppl Table 11 List of differentially expressed genes annotated as transcription factors. Suppl Table 12 Genes with GCC box in the promoter region. Suppl Table 13 The 251 DEGs with GCC box in the promoter region. Suppl Table 14 GO enrichment analysis of the 251 DEGs with GCC box in the promoter region. (DOCX 993 KB)

13205_2021_2866_MOESM2_ESM.xlsx

Supplementary file2 Suppl Fig. 1 GO enrichment of the genes commonly expressed in all samples. BP, biological processes; MF, molecular function; CC, cellular component. Suppl Fig. 2 The comparison of RNA-seq data and corresponding qRT-PCR data at different time intervals. The black line shows the results of RNA-seq, and the gray histogram shows the results of qRT-PCR. The CmACT gene was used as the internal control for qRT-PCR. ACC synthase, 1-aminocyclopropane-1-carboxylate synthase; ACC oxidase, 1-aminocyclopropane-1-carboxylate oxidase; NCED, 9-cis-epoxycarotenoid dioxygenase. (XLSX 1341 KB)

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Zhang, H., Li, G., Yan, C. et al. Depicting the molecular responses of adventitious rooting to waterlogging in melon hypocotyls by transcriptome profiling. 3 Biotech 11, 351 (2021). https://doi.org/10.1007/s13205-021-02866-w

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  • DOI: https://doi.org/10.1007/s13205-021-02866-w

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