Effects of a Sudden Drop in Salinity on Scapharca subcrenata Antioxidant Defenses and Metabolism Determined Using LC-MS Non-targeted Metabolomics

被引:9
|
作者
Zhang, Mo [1 ,2 ]
Li, Li [3 ]
Liu, Ying [4 ]
Gao, Xiaolong [1 ]
机构
[1] Xiamen Univ, Coll Ocean & Earth Sci, State Key Lab Marine Environm Sci, Xiamen 361102, Peoples R China
[2] Chinese Acad Sci, Inst Oceanol, Key Lab Expt Marine Biol, Qingdao 266071, Peoples R China
[3] China Marine Biol Inst Shandong Prov, Qingdao 266104, Peoples R China
[4] Dalian Ocean Univ, Dalian 116023, Peoples R China
基金
中国博士后科学基金;
关键词
MESSENGER-RNA EXPRESSION; GILTHEAD SEA BREAM; SPHINGOLIPID BIOSYNTHESIS; OXIDATIVE STRESS; REDOX REGULATION; BRACKISH-WATER; AMINO-ACIDS; VITAMIN-E; AUTOPHAGY; MECHANISMS;
D O I
10.1038/s41598-020-63293-0
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
In this experiment, the effects of a sudden drop in salinity on the antioxidant defense system and related gene expression of the ark shell Scapharca subcrenata were examined. The sudden drop in seawater salinity after a rainstorm was simulated, and subsequently differentially expressed metabolic markers were identified by LC-MS non-targeted metabolomics. When the salinity dropped to 14 parts per thousand (S14), the total anti-oxidant content, activity of Na+/K+-ATPase, superoxide dismutase (SOD), and catalase (CAT), content of malondialdehyde, and expression levels of Mn-SOD, CAT, and C-type lectin of S. subcrenata were significantly higher than in groups with salinity of 22 parts per thousand (S22) or 30 parts per thousand (S30) (P<0.05). The activity of glutathione peroxidase (GPx), the content of reduced glutathione, and the expression levels of GP(x) were not significantly different between S14 and S22, but the values in each group were significantly higher than those in S30 (P<0.05). Using the metabolomics technique, 361, 271, and 264 metabolites with significant differences were identified from S22 vs. S14, S30 vs. S14, and S30 vs. S22, respectively. The drop in salinity was accompanied by up-regulation of phosphatidylcholine (PC) (20:4 (5Z, 8Z, 11Z, 14Z)/P-18: 1 (11Z)), PC (16:0/22: 6 (4Z, 7Z, 10Z, 13Z, 16Z, 19Z)), phosphatidylethanolamine (PE) (18:4 (6Z, 9Z, 12Z, 15Z)/24:1 (15Z)), phosphatidylinositol (PI) (20:1 (11Z)/0:0), phalluside-1, C16 sphinganine, and LacCer (d18:0/14:0) and by significant down-regulation of PI-Cer (d18:1/14:0) and PE (14:0/16:1(9Z). The results of this study illustrate how these nine metabolites can be used as metabolic markers for the response of S. subcrenata to a sudden drop in salinity. They also provide the theoretical groundwork for selection of bottom areas with salinity that is optimal for release and proliferation of S. subcrenata, which is needed to restore the declining populations of this species.
引用
收藏
页数:14
相关论文
共 24 条
  • [21] Development and application of a non-targeted analysis method using GC-MS and LC-MS for identifying chemical contaminants in drinking water via point-of-use filters
    Sloop, John T.
    Casey, Jonathan S.
    Liberatore, Hannah K.
    Chao, Alex
    Isaacs, Kristin K.
    Newton, Seth R.
    MICROCHEMICAL JOURNAL, 2024, 207
  • [22] Non-targeted LC-MS metabolomics reveal shifts from wound-induced enzymatic browning to lignification during extended storage of fresh-cut lettuce in modified atmosphere packaging
    Widjaja, Fanny
    Steensma, Priscille
    Annala, Leevi
    Klami, Arto
    Kangasjarvi, Saijaliisa
    Lehtonen, Mari
    Mikkonen, Kirsi S.
    CURRENT RESEARCH IN FOOD SCIENCE, 2025, 10
  • [23] Effects of diets supplemented with n-3 or n-6 PUFA on pig muscle lipid metabolites measured by non-targeted LC-MS lipidomic profiling
    Dannenberger, Dirk
    Nuernberg, Gerd
    Nuernberg, Karin
    Will, Katja
    Schauer, Nicolas
    Schmicke, Marion
    JOURNAL OF FOOD COMPOSITION AND ANALYSIS, 2017, 56 : 47 - 54
  • [24] LC-QTOF/MS-based non-targeted metabolomics to explore the toxic effects of di(2-ethylhexyl) phthalate (DEHP) on Brassica chinensis L.
    Mo, Lingyun
    Fang, Liusen
    Yao, Weihao
    Nie, Jinfang
    Dai, Junfeng
    Liang, YanPeng
    Qin, Litang
    SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 918