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Assessing the occurrence of a stress syndrome in mussels (Mytilus edulis) using a combined biomarker/gene expression approach

机译:使用组合的生物标记物/基因表达方法评估贻贝(Mytilus edulis)应激综合征的发生

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A combination of biomarkers and gene expression analyses was used to investigate the occurrence of a stress syndrome in mussels (Mytilus edulis) caged along a copper pollution gradient in the Visnes fjord, Norway. The stress level in mussels, as calculated by a novel algorithm (the ''Expert System'') from a set of seven biomarkers, was compared with gene expression changes utilising a low-density oligonucleotide microarray, employing 24 different genes involved in both cellular homeostasis and stress-related responses. The biomarker battery included lysosomal membrane stability, lysosomal accumulation of neutral lipids and lipofuscin, lysosomal/cytoplasm volume ratio, Ca super(2) super(+)-ATPase and catalase activities, and total metallothionein content. Integration of the biomarkers into the Expert System ranked individuals sampled at site 2 as unstressed, mussels sampled at site 3 as being subject to low stress, and those from site 4, which is adjacent to what used to be a copper mine, as being highly stressed, with respect to specimens sampled from the reference site. Microarray analyses demonstrated that at the two innermost and mostly polluted sites, gene expression patterns where severely altered. In particular, some genes exhibited a linear activation response along the copper gradient, e.g. metallothioneins mt 20 and mt 10, and catalase. In addition, stress responsive kinase (krs), glutathione transferase (gst), major vault protein and histones (h1, h2a and h4) were significantly up-regulated at the innermost site. In conclusion, these results demonstrated that sites could be discriminated using both a physiological and a molecular approach. The development of a stress syndrome along the pollution gradient was evidenced with a novel mussel microarray, both in terms of numbers of regulated genes and level of gene response. level of gene response.
机译:生物标志物和基因表达分析相结合,用于调查在挪威维森斯峡湾沿铜污染梯度关押的贻贝(贻贝)中的应力综合症的发生。使用低密度寡核苷酸微阵列,通过一种新颖的算法(“专家系统”),从一组七个生物标记中计算出贻贝的应力水平,并与基因表达变化进行了比较,并采用了两种涉及细胞的基因稳态和与压力有关的反应。生物标志物电池包括溶酶体膜稳定性,中性脂质和脂褐素的溶酶体积累,溶酶体/细胞质体积比,Ca super(2)super(+)-ATPase和过氧化氢酶活性以及总金属硫蛋白含量。将生物标志物整合到专家系统中后,将在第2站点采样的个体视为无压力,在第3站点采样的贻贝受到的压力较小,而与第4站点相邻的贻贝则与以前的铜矿相邻,处于高度应力状态。相对于从参考点取样的样本而言,压力很大。微阵列分析表明,在两个最里面且最受污染的位点,基因表达模式发生了严重变化。特别地,一些基因沿着铜梯度表现出线性激活响应,例如,铜。金属硫蛋白mt 20和mt 10,以及过氧化氢酶。此外,应激反应激酶(krs),谷胱甘肽转移酶(gst),主要穹ault蛋白和组蛋白(h1,h2a和h4)在最内位显着上调。总之,这些结果表明,可以使用生理和分子方法来区分位点。新型的贻贝微阵列证明了沿着污染梯度的压力综合症的发展,无论是受调控基因的数量还是基因反应的水平。基因反应水平。

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