Canadian Rivers Institute and Department of Biology, University of New Brunswick, Saint John, NB, Canada.
Canadian Rivers Institute and Department of Biology, University of New Brunswick, Saint John, NB, Canada; Department of Biology & School of Earth, Environment and Society, McMaster University, Hamilton, ON, Canada.
Environ Pollut. 2022 Oct 15;311:119936. doi: 10.1016/j.envpol.2022.119936. Epub 2022 Aug 11.
The biomagnification of toxic methylmercury (MeHg) and selenium (Se) through aquatic food webs using nitrogen stable isotopes (δN) varies among ecosystems but underlying mechanisms are yet unexplained. Given the strong links between MeHg and thiol-containing amino acids and proteins containing selenocysteine, our hypothesis was that cysteine content is a better predictor of MeHg and Se transfer through lake food webs than δN. Food web samples were collected from six lakes in Kejimkujik National Park, Nova Scotia, Canada, and the regression slopes of log MeHg or Se versus protein-bound cysteine or bulk δN were compared. Across all six lakes, MeHg varied by a factor of 10 among taxa and was significantly and positively related to both cysteine (R = 0.65-0.80, p < 0.001) and δN (R = 0.88-0.94, p < 0.001), with no among-system differences in these slopes. In contrast, total Se concentrations varied by less than a factor of 2 among taxa in four lakes and were significantly related to cysteine in only two food webs (R = 0.20 & 0.37, p = 0.014 & < 0.001); however, δN was not a predictor of Se in any lake (p = 0.052-0.777). Overall, these novel results indicate that cysteine content predicts MeHg, and sometimes Se, across trophic levels, providing a potential mechanism for among-system differences in their biomagnification.
利用氮稳定同位素(δN)研究水生食物网中有毒的甲基汞(MeHg)和硒(Se)的生物放大作用因生态系统而异,但潜在的机制尚不清楚。鉴于 MeHg 与含硫氨基酸和含有硒代半胱氨酸的蛋白质之间存在很强的联系,我们的假设是半胱氨酸含量是预测 MeHg 和 Se 通过湖泊食物网转移的更好指标,而不是 δN。从加拿大新斯科舍省基吉柯吉克国家公园的六个湖泊中采集了食物网样本,并比较了 log MeHg 或 Se 与蛋白质结合的半胱氨酸或总 δN 的回归斜率。在所有六个湖泊中,分类群之间的 MeHg 差异高达 10 倍,与半胱氨酸(R = 0.65-0.80,p < 0.001)和 δN(R = 0.88-0.94,p < 0.001)呈显著正相关,这些斜率在系统之间没有差异。相比之下,在四个湖泊中,总 Se 浓度在分类群之间的差异不到两倍,只有两个食物网与半胱氨酸呈显著相关(R = 0.20 和 0.37,p = 0.014 和 < 0.001);然而,在任何一个湖中,δN 都不是 Se 的预测因子(p = 0.052-0.777)。总的来说,这些新的结果表明,半胱氨酸含量可以预测跨营养级别的 MeHg,有时还可以预测 Se,为它们在生物放大作用方面的系统间差异提供了一种潜在的机制。