Project description:Contrasting dynamics and biotic association networks in estuarine microbenthic communities along an environmental disturbance gradient
Project description:The aim of this study is to understand the effect of a salinity gradient on the structure of Prokaryotic communities and nitrifying communities
| PRJEB20621 | ENA
Project description:Rhithropanopeus harrisii - salinity response along an estuarine gradient in North Carolina
Project description:Studying the adaptive divergence of shellfish inhabiting different environments is crucial to predict the resilience of marine organisms to rapid climate change. Although the shell serves as the primary physical barrier against environmental change, the evolutionary adaptation of biomineralization in shellfish remains poorly understood. In this study, we using common garden designs to investigate the shell matrix proteome of estuarine (Crassostrea ariakensis) and Pacific (Crassostrea gigas) oysters inhabiting estuarine and open coastal zones, respectively. Shell matrix proteome analyses revealed extensive domain expansion of classical pathway secretomes, which likely contribute to the enhanced biomineralization capacity of estuarine oysters. Furthermore, two-thirds of the 27 C. ariakensis-specific shell matrix-secreted proteins (SMSPs) lacked homology with known proteins in the Swiss-Prot and nr databases, indicating rapid evolution. Our findings suggest that intensified classical pathway secretomes and rapid evolution of species-specific SMSPs are key factors shaping the defense of shells to enhance their adaptive potential to climate change.
Project description:The Atlantic killifish (Fundulus heteroclitus), native to estuarine areas of the Atlantic coast of the United States, has become a valuable ecotoxicological model due to its ability to acclimate to rapid environmental changes and adapt to polluted habitats. Killifish respond to rapid increases in salinity with an immediate change in gene expression, as well as long-term remodeling of the gills. Arsenic, a major environmental toxicant, was previously shown to inhibit the ability of killifish gill to respond to a rapid increase in salinity. We characterized miRNA expression in killifish gill under salinity acclimation with and without arsenic and identified a small group of highly expressed, well-conserved miRNAs as well as 16 novel miRNAs not yet identified in other organisms.
Project description:The diverse mixture of contaminants frequently present in estuarine wetlands complicates their assessment by routine chemical or biological analyses. We investigated the use of gene expression to assess contaminant exposure and the condition of southern California (USA) estuarine fish. Liver gene expression, plasma estradiol concentrations and gonad histopathology were used to investigate the biological condition of longjaw mudsuckers (Gillichthys mirabilis). A wide array of metals, legacy organochlorine pesticides, PCBs and contaminants of emerging concern were detected in sediments and whole fish. Overall gene expression patterns were characteristic to each of four sites investigated in this study. Differentially expressed genes belonged to several functional categories including xenobiotic metabolism, detoxification, disease and stress responses. In general, plasma estradiol concentrations were similar among fish from all areas. Some fish gonads had pathologic changes (e.g. infection, inflammation) that could indicate weakened immune systems and chronic stress. The differential expression of some genes involved in stress responses correlated with the prevalence of histologic gonad lesions. This study indicates that sentinel fish gene expression data is a promising tool for assessing the biological condition of fish exposed to environmental contaminants. Key Words: Gene expression, fish, contaminants, estuaries. This abstract belongs to a manuscript that has been submitted to Environmental Science and Technology. The manuscript has been invited as part of an especial Omics Issue which is expected to be published in 2012.
Project description:The diverse mixture of contaminants frequently present in estuarine wetlands complicates their assessment by routine chemical or biological analyses. We investigated the use of gene expression to assess contaminant exposure and the condition of southern California (USA) estuarine fish. Liver gene expression, plasma estradiol concentrations and gonad histopathology were used to investigate the biological condition of longjaw mudsuckers (Gillichthys mirabilis). A wide array of metals, legacy organochlorine pesticides, PCBs and contaminants of emerging concern were detected in sediments and whole fish. Overall gene expression patterns were characteristic to each of four sites investigated in this study. Differentially expressed genes belonged to several functional categories including xenobiotic metabolism, detoxification, disease and stress responses. In general, plasma estradiol concentrations were similar among fish from all areas. Some fish gonads had pathologic changes (e.g. infection, inflammation) that could indicate weakened immune systems and chronic stress. The differential expression of some genes involved in stress responses correlated with the prevalence of histologic gonad lesions. This study indicates that sentinel fish gene expression data is a promising tool for assessing the biological condition of fish exposed to environmental contaminants. Key Words: Gene expression, fish, contaminants, estuaries. This abstract belongs to a manuscript that has been submitted to Environmental Science and Technology. The manuscript has been invited as part of an especial Omics Issue which is expected to be published in 2012. In this study, we used hepatic gene expression in wild longjaw mudsuckers (Gillichthys mirabilis) to assess biological responses from anthropogenically influenced wetlands. We investigated the relationships among gene expression responses, chemical exposure and additional biological responses in this species. We studied estuarine wetlands that had diverse contaminant characteristics and received three main types of contaminant inputs in different proportions: agricultural runoff, urban runoff and municipal wastewater.