Application of ICP-MS Method in Environmental Field

Sun, Wen; Ke, Yang; Xia, Longfei

doi:10.1088/1755-1315/769/2/022028

Cited by 2 publications

(2 citation statements)

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“…Inductively coupled plasma–mass spectrometry (ICP–MS) was used to detect the content of As, Cd, Cr, Ni, and Pb in six parts of melon fruit peel and pulp at distinct positions [ 26 ]. Fresh samples of melon fruit, peel, and pulp were weighed (1 g), placed in a microwave digestion inner tank with 5 to 10 mL of nitric acid, loosely covered and incubated overnight, after which the lid was tightened and then digested according to the standard operating procedures of the microwave digestion apparatus.…”

Section: Methodsmentioning

confidence: 99%

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

Shen

Tao

et al. 2022

Genes

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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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Section: Methodsmentioning

confidence: 99%