Expression dynamics of metabolites in diploid and triploid watermelon in response to flooding

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Plant Biology

Main article text

 

Introduction

Materials and Methods

Sample preparation and extraction for widely targeted metabolic analysis

Principal component analysis (PCA) analysis

Hierarchical cluster analysis and pearson correlation coefficients

Differential metabolites selection

Assay for antioxidant enzymes and osmoregulatory compounds

Determination of chlorophyll contents and plasma membrane permeability

Determination of root activity, relative water contents, and Lactate dehydrogenase (LDH)

Coexpression network analysis

Statistical analysis

Results

Phenotypic variation among diploid and triploid watermelon

Measurement of chlorophyll content, root activity, plasma membrane permeability, intracellular CO2 concentration, and relative water content

Measurement of SOD in response to flooding stress in diploid and triploid watermelon

Measurement of POD in response to flooding stress in diploid and triploid watermelon

Measurement of MDA activity in response to flooding stress in diploid and triploid watermelon

Measurement of LDH in response to flooding stress in diploid and triploid watermelon

Measurement of catalase in response to flooding stress in diploid and triploid watermelon

Measurement of H2O2 in response to flooding stress in diploid and triploid watermelon

Identification of metabolites by UPLC-ESI-MS/MS and analysis of metabolites at different time points

Comparison of metabolites in diploid and triploid watermelon roots under flooding stress

Expression dynamics of different metabolites in diploid and triploid watermelon roots at different developmental stages

Terpenoids

Tannins

Phenolic acids

Organic acids

Nucleotides and derivatives

Lipids

Lignans and coumarins

Flavonoids

Amino acids and derivatives

Alkaloids

Others

Co-expression network analysis of metabolites in diploid and triploid watermelon in response to flooding stress for the identification of hub metabolites

Discussion

Root development in diploid and triploid watermelon in response to flooding

Biochemical changes in response to flooding stress

Metabolic changes in response to flooding in watermelon

Conclusions

Supplemental Information

KEGG enrichment analysis of identified metabolites in response to flooding

DOI: 10.7717/peerj.13814/supp-1

Supplemental tables

DOI: 10.7717/peerj.13814/supp-2

Additional Information and Declarations

Competing Interests

The authors declare there are no competing interests.

Author Contributions

Nan He conceived and designed the experiments, performed the experiments, analyzed the data, prepared figures and/or tables, authored or reviewed drafts of the article, and approved the final draft.

Muhammad Jawad Umer performed the experiments, analyzed the data, prepared figures and/or tables, and approved the final draft.

Pingli Yuan performed the experiments, analyzed the data, authored or reviewed drafts of the article, and approved the final draft.

Weiwei Wang performed the experiments, authored or reviewed drafts of the article, and approved the final draft.

Hongju Zhu analyzed the data, prepared figures and/or tables, and approved the final draft.

Shengjie Zhao performed the experiments, prepared figures and/or tables, and approved the final draft.

Xuqiang Lu analyzed the data, prepared figures and/or tables, and approved the final draft.

Yan Xing performed the experiments, authored or reviewed drafts of the article, and approved the final draft.

Chengsheng Gong analyzed the data, prepared figures and/or tables, and approved the final draft.

Wenge Liu conceived and designed the experiments, authored or reviewed drafts of the article, and approved the final draft.

Xiaowu Sun conceived and designed the experiments, authored or reviewed drafts of the article, and approved the final draft.

Data Availability

The following information was supplied regarding data availability:

The raw data are available in the Supplemental File.

Funding

This research was supported by Agricultural Science and Technology Innovation Program (CAAS-ASTIP-2021-ZFRI), the China Agriculture Research System of MOF and MARA (CARS-25-03), National Key R&D Program of China (2018YFD0100704) and the National Nature Science Foundation of China (31672178 and 31471893). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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