INRA, UMR Carrtel, F-74203 Thonon, France; Université de savoie, UMR Carrtel, F-73011 Chambéry, France.
Sci Total Environ. 2013 Oct 1;463-464:469-77. doi: 10.1016/j.scitotenv.2013.06.063. Epub 2013 Jul 3.
Benthic diatoms evolved in a biofilm structure, at the interface between water and substrata. Biofilms can adsorb toxicants, such as herbicides, but little is known about the exposure of biofilm organisms, such as benthic diatoms, to these adsorbed herbicides. We assessed the sensitivity of 11 benthic diatoms species to 6 herbicides under both planktonic and benthic conditions using single-species bioassays. The concentration that reduced the growth rate of the population by 10% (EC10) and 50% (EC50), respectively, varied depending on the species, the herbicides, and the growth forms involved. As a general trend, the more hydrophobic the herbicide, the more species were found to be sensitive under benthic growth conditions. Statistical differences (alpha<5%) were observed between the sensitivities under planktonic and benthic growth conditions for many hydrophobic herbicides. A protective effect of the biofilm against herbicides was observed, and this tended to decrease (at both the EC10 and EC50 levels) with increasing hydrophobicity. The biofilm matrix appeared to control exposure to herbicides, and consequently their toxicity towards benthic diatoms. For metolachlor, terbutryn and irgarol, benthic thresholds derived from species sensitivity distributions were more protective than planktonic thresholds. For hydrophobic herbicides, deriving sensitivity thresholds from data obtained under benthic growth seems to offer a promising alternative.
底栖硅藻在水和基质界面的生物膜结构中进化。生物膜可以吸附有毒物质,如除草剂,但对于底栖硅藻等生物膜生物暴露于这些吸附除草剂的情况知之甚少。我们使用单物种生物测定法,评估了 11 种底栖硅藻在浮游和底栖条件下对 6 种除草剂的敏感性。种群增长率降低 10%(EC10)和 50%(EC50)的浓度分别取决于物种、除草剂和涉及的生长形式。一般来说,除草剂的疏水性越强,在底栖生长条件下发现敏感的物种就越多。对于许多疏水性除草剂,在浮游和底栖生长条件下的敏感性存在统计学差异(alpha<5%)。生物膜对除草剂有保护作用,这种保护作用随着疏水性的增加而减弱(在 EC10 和 EC50 水平上)。生物膜基质似乎控制着除草剂的暴露,从而控制着它们对底栖硅藻的毒性。对于甲草胺、特丁津和抑草隆,从物种敏感性分布得出的底栖阈值比浮游阈值更具保护性。对于疏水性除草剂,从底栖生长条件下获得的数据推导敏感性阈值似乎是一种很有前途的替代方法。