scholarly journals Evaluation of the Metabolic Effects of Hydrogen Sulfide on the Development of Bombyx mori (Lepidoptera: Bombycidae), Using Liquid Chromatography-Mass Spectrometry-Based Metabolomics

2020 ◽  
Vol 20 (2) ◽  
Author(s):  
Yu-Yao Cao ◽  
Li-Li Peng ◽  
Li Jiang ◽  
Kiran Thakur ◽  
Fei Hu ◽  
...  

Abstract Hydrogen sulfide (H2S) is a highly poisonous gas with an unpleasant smell of rotten eggs. Previous studies of H2S have primarily focused on its effects on mammalian nervous and respiratory systems. In this study, silkworm developmental parameters and changes in metabolites in response to H2S exposure were investigated using a hemolymph metabolomic approach, based on liquid chromatography–mass spectrometry (LC-MS). The developmental parameters, body weight, cocoon weight, cocoon shell weight, and cocoon shell ratio, were noticeably increased following H2S exposure, with the greatest effects observed at 7.5-μM H2S. Metabolites upregulated under H2S exposure (7.5 μM) were related to inflammation, and included (6Z, 9Z, 12Z)-octadecatrienoic acid, choline phosphate, and malic acid, while hexadecanoic acid was downregulated. Identified metabolites were involved in biological processes, including pyrimidine, purine, and fatty acid metabolism, which are likely to affect silk gland function. These results demonstrate that H2S is beneficial to silkworm development and alters metabolic pathways related to spinning function and inflammation. The present study provides new information regarding the potential functions of H2S in insects and metabolic pathways related to this phenomenon.

RSC Advances ◽  
2019 ◽  
Vol 9 (61) ◽  
pp. 35364-35371
Author(s):  
Qun Liang ◽  
Han Liu ◽  
Xiu-li Li ◽  
Yang Yang ◽  
Panguo Hairong

Lipidomics has been applied in the identification and quantification of molecular lipids within an organism, and to provide insights into mechanisms in clinical medicine.


Metabolites ◽  
2019 ◽  
Vol 9 (8) ◽  
pp. 166 ◽  
Author(s):  
Qianqian He ◽  
Xinmei Fang ◽  
Tianhui Zhu ◽  
Shan Han ◽  
Hanmingyue Zhu ◽  
...  

Bambusa pervariabilis McClure × Dendrocalamopsis grandis (Q.H.Dai & X.l.Tao ex Keng f.) Ohrnb. blight is a widespread and dangerous forest fungus disease, and has been listed as a supplementary object of forest phytosanitary measures. In order to study the control of B. pervariabilis × D. grandis blight, this experiment was carried out. In this work, a toxin purified from the pathogen Arthrinium phaeospermum (Corda) Elli, which causes blight in B. pervariabilis × D. grandis, with homologous heterogeneity, was used as an inducer to increase resistance to B. pervariabilis × D. grandis. A functional analysis of the differentially expressed proteins after induction using a tandem mass tag labeling technique was combined with mass spectrometry and liquid chromatography mass spectrometry in order to effectively screen for the proteins related to the resistance of B. pervariabilis × D. grandis to blight. After peptide labeling, a total of 3320 unique peptides and 1791 quantitative proteins were obtained by liquid chromatography mass spectrometry analysis. Annotation and enrichment analysis of these peptides and proteins using the Gene ontology and Kyoto Encyclopedia of Genes and Genomes databases with bioinformatics software show that the differentially expressed protein functional annotation items are mainly concentrated on biological processes and cell components. Several pathways that are prominent in the Kyoto Encyclopedia of Genes and Genomes annotation and enrichment include metabolic pathways, the citrate cycle, and phenylpropanoid biosynthesis. In the Protein-protein interaction networks four differentially expressed proteins-sucrose synthase, adenosine triphosphate-citrate synthase beta chain protein 1, peroxidase, and phenylalanine ammonia-lyase significantly interact with multiple proteins and significantly enrich metabolic pathways. To verify the results of tandem mass tag, the candidate proteins were further verified by parallel reaction monitoring, and the results were consistent with the tandem mass tag data analysis results. It is confirmed that the data obtained by tandem mass tag technology are reliable. Therefore, the differentially expressed proteins and signaling pathways discovered here is the primary concern for subsequent disease resistance studies.


2019 ◽  
Vol 97 (Supplement_3) ◽  
pp. 406-407
Author(s):  
Jin Young Jeong ◽  
Minseok Kim ◽  
Kondreddy Eswar Reddy ◽  
Seul Lee ◽  
Soohyun Cho ◽  
...  

Abstract Blood metabolome can be used to estimate the growth, nutrition, and health status of livestock. The objective of this study is to find the differently expressed metabolome according to ages and nutritional levels in feeds to predict and control cattle performances. We used Hanwoo cattle at different ages that were fed diets with different nutritional levels. One hundred thirty two blood samples were collected from 22 Hanwoo steers at 13, 16, 19, 22, 25, 28 months and compared their blood metabolomes by using liquid chromatography mass spectrometry. The results of our comparative analysis showed clear discriminations in blood metabolomic profiles among the ages but not between nutritional levels. Based on the results of t-test, fold changes, and partial least square discriminant analysis, 19 metabolites showed high sensitivity for ages. Alanine, asparagine, aspartic acid, betaine, carnitine, choline, citrulline, creatine, cysteine, glutamine, glycine, histidine, lactate, leucine, proline, pyruvate, serine, tryptophan, and valine could be directly linked to ages. In particular, three metabolic pathways, ammonia recycling; urea cycle; and glycine and serine metabolism were shown to be enriched with the ages (FDR < 0.05, P < 0.05). Thus, the differently expressed metabolites and their related metabolic pathways in the blood plasma may contribute to the biomarkers which indicate the potential for early growing and fattening of indiviual beef cattle. Our findings may allow for better understanding of the mechanism of cattle growth physiology and metabolism, which is necessary for selecting appropriate feeding strategies to improve beef quality and productivity.


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