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Mining Candidate Genes Related to Heavy Metals in Mature Melon (Cucumis melo L.) Peel and Pulp Using WGCNA

文献类型： 外文期刊

作者： Shen, Qi 1 ; Wu, Xiaonan 1 ; Tao, Yongxia 2 ; Yan, Guorong 3 ; Wang, Xian 1 ; Cao, Shuangyu 1 ; Wang, Cheng 4 ; He, Weizhong 1 ;

作者机构： 1.Xinjiang Acad Agr Sci, Inst Agr Qual Stand & Testing Technol, Minist Rural Agr,Xinjiang Key Lab Agr Prod Qual &, Agr Prod Qual & Safety Risk Assessment Lab, Urumqi 830091, Peoples R China

2.Xinjiang Agr Univ, Sch Food Sci & Pharm, Urumqi 830091, Peoples R China

3.Xinjiang Acad Agr Sci, New Plant Variety Testing Urumqi Branch Ctr, Crop Variety Resources Inst, Minist Agr & Rural Affairs, Urumqi 830091, Peoples R China

4.Xinjiang Acad Agr Sci, Xinjiang Key Lab Agr Prod Qual & Safety, Agr Prod Qual & Safety Risk Assessment Lab, Minist Rural Agr, Urumqi 830091, Peoples R China

关键词： WGCNA; weighted gene co-expression network analysis; melon; heavy metal ions; RNA-seq; candidate gene

期刊名称：GENES （ 影响因子：4.141； 五年影响因子：4.474 ）

ISSN：

年卷期： 2022 年 13 卷 10 期

页码：

收录情况： SCI

摘要： The content of metal ions in fruits is inseparable from plant intake of trace elements and health effects in the human body. To understand metal ion content in the fruit and pericarp of melon (Cucumis melo L.) and the candidate genes responsible for controlling this process, we analyzed the metal ion content in distinct parts of melon fruit and pericarp and performed RNA-seq. The results showed that the content of metal ions in melon fruit tissue was significantly higher than that in the pericarp. Based on transcriptome expression profiling, we found that the fruit and pericarp contained elevated levels of DEGs. GO functional annotations included cell surface receptor signaling, signal transduction, organic substance metabolism, carbohydrate derivative binding, and hormone-mediated signaling pathways. KEGG pathways included pectate lyase, pentose and glucuronate interconversions, H+-transporting ATPase, oxidative phosphorylation, plant hormone signal transduction, and MAPK signaling pathways. We also analyzed the expression patterns of genes and transcription factors involved in hormone biosynthesis and signal transduction. Using weighted gene co-expression network analysis (WGCNA), a co-expression network was constructed to identify a specific module that was significantly correlated with the content of metal ions in melon, after which the gene expression in the module was measured. Connectivity and qRT-PCR identified five candidate melon genes, LOC103501427, LOC103501539, LOC103503694, LOC103504124, and LOC107990281, associated with metal ion content. This study provides a theoretical basis for further understanding the molecular mechanism of heavy metal ion content in melon fruit and peel and provides new genetic resources for the study of heavy metal ion content in plant tissues.

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