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Honeybee biomarkers as promising tools to monitor environmental quality
Institution:2. CIRAD, UMR PVBMT, F-97410 Saint-Pierre, La Réunion, France;3. Université d''Albi, UMR CNRS 5602 Centre Universitaire Jean-François Champollion, Laboratoire GEODE, 81012 Albi cedex 9, France;4. CIRAD, UPR HORTSYS, F-97455 Saint-Pierre, La Réunion, France;5. MNHN, UMR CNRS 7205, Origine, Structure et Evolution de la Biodiversité, 75231 Paris, France;1. Faculty of Agriculture & Environment, The University of Sydney, Eveleigh, NSW 2015, Australia;2. School of Life Sciences, University of Sussex, BN1 9QG, United Kingdom;3. Dipartimento di Agraria, Laboratorio di Entomologia “E. Tremblay”, Università di Napoli “Federico II”, 80055 Portici, Naples, Italy;4. Dipartimento di Scienze Agrarie e Ambientali, Università di Udine, 33100 Udine, Italy;5. National Institute for Environmental Studies (NIES), Tsukuba, Ibaraki 305-8506, Japan;6. French National Institute for Agricultural Research (INRA), 06903 Sophia Antipolis, France
Abstract:The aim of this study was to distinguish the impacts of two different anthropogenic conditions using the honeybee Apis mellifera as a bioindicator associated with a battery of biomarkers previously validated in the laboratory. Both the urban (RAV, Ravine des Cabris) and semi-natural (CIL, Cilaos) sites in La Reunion Island were compared in order to assess the impacts of two types of local pollution using the discriminating potential of biomarkers. Hives were placed at the CIL and RAV sites and honeybees were collected from each hive every three months over one year. Honeybee responses were evaluated with respect to several biochemical biomarkers: glutathione-S-transferase (GST), acetylcholinesterase (AChE), alkaline phosphatase (ALP) and metallothioneins (MT). The results showed a significant difference between the localities in terms of GST, AChE and ALP activities, as regarding midgut MT tissue levels. Compared to the CIL site, ALP and MT tissue levels were higher at the RAV site, although AChE activity was lower. GST displayed more contrasted effects. These results strongly suggest that the honeybees based in the more anthropized area were subjected to sublethal stress involving both oxidative stress and detoxification processes with the occurrence of neurotoxic pollutants, amongst which metals were good candidates. A classification tree enabled defining a decision procedure to distinguish the sampling locations and enabled excellent classification accuracy (89%) for the data set. This field study constitutes a strong support in favour of the in situ assessment of environmental quality using honeybee biomarkers and validates the possibility of performing further ecotoxicological studies using honeybee biomarkers.
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