Univ Brest - CNRS - IRD - Ifremer, UMR 6539 LEMAR, IUEM-Université de Bretagne Occidentale, Rue Dumont D'Urville, 29280, Plouzané, France; CEDRE, 715 rue Alain Colas, 29200, Brest, France.
Univ Brest - CNRS, UMR 6554 LETG-Brest GEOMER, IUEM-Université de Bretagne Occidentale, Rue Dumont D'Urville, 29280, Plouzané, France.
Environ Pollut. 2024 Dec 15;363(Pt 1):124876. doi: 10.1016/j.envpol.2024.124876. Epub 2024 Oct 9.
Watersheds and estuaries are impacted by multiple anthropogenic stressors that affect their biodiversity and functioning. Assessing their ecological quality has consequently remained challenging for scientists and stakeholders. In this paper, we propose a multidisciplinary approach to identify the stressors in seven small French estuaries located in agricultural watersheds. We collected data from landscape (geography, hydrobiology) to estuary (pollutant chemistry) and fish individual scales (environmental signatures, proteomics). This integrative approach focused on the whole hydrosystems, from river basins to estuaries. To characterize each watershed, we attempted to determine the land use considering geographic indicators (agricultural and urbanised surfaces) and landscape patterns (hedges density and riparian vegetation). Juveniles of European flounder (Platichthys flesus) were captured in September, after an average residence of five summer months in the estuary. Analyses of water, sediments and biota allowed to determine the concentrations of dissolved inorganic nitrogen species, pesticides and trace elements in the systems. Environmental signatures were also measured in flounder tissues. These environmental parameters were used to establish a typology of the watersheds. Furthermore, data from proteomics on fish liver were combined with environmental signatures to determine the responses of fish to stressors in their environments. Differential protein abundances highlighted a dysregulation related to the detoxification of xenobiotics (mainly pesticides) in agricultural watersheds, characterized by intensive cereal and vegetable crops and high livestock. Omics also revealed a dysregulation of proteins associated with the response to hypoxia and heat stress in some estuaries. Furthermore, we highlighted a dysregulation of proteins involved in urea cycle, immunity and metabolism of fatty acids in several systems. Finally, the combination of environmental and molecular signatures appears to be a relevant method to identify the major stressors operating within hydrosystems.
流域和河口受到多种人为胁迫的影响,这些胁迫会影响它们的生物多样性和功能。因此,评估它们的生态质量一直是科学家和利益相关者面临的挑战。在本文中,我们提出了一种多学科方法,以确定位于法国七个小河口的七个小型法国河口的胁迫因素。我们从景观(地理,水生生物学)到河口(污染物化学)和鱼类个体尺度(环境特征,蛋白质组学)收集数据。这种综合方法侧重于整个水系统,从流域到河口。为了表征每个流域,我们试图通过考虑地理指标(农业和城市化表面)和景观格局(树篱密度和河岸植被)来确定土地利用。欧洲比目鱼(Platichthys flesus)的幼鱼在河口平均居留五个夏天后于 9 月被捕捞。对水、沉积物和生物群的分析允许确定系统中溶解无机氮物种、农药和微量元素的浓度。还测量了比目鱼组织中的环境特征。这些环境参数用于建立流域的分类。此外,鱼类肝脏蛋白质组学的数据与环境特征相结合,以确定鱼类对环境胁迫的反应。差异蛋白丰度突出了与解毒外来生物(主要是农药)相关的失调,这种失调在以谷物和蔬菜作物以及高牲畜为主的农业流域中更为明显。组学还揭示了一些河口缺氧和热应激相关蛋白的失调。此外,我们还发现了几个系统中涉及尿素循环、免疫和脂肪酸代谢的蛋白质失调。最后,环境和分子特征的结合似乎是一种识别水系统内主要胁迫因素的有效方法。