Ontology highlight
ABSTRACT:
PROVIDER: PRJNA554450 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR9687580.fastq.gz | Fastqsanger.gz | |||
| SRR9687581.fastq.gz | Fastqsanger.gz | |||
| SRR9687582.fastq.gz | Fastqsanger.gz | |||
| SRR9687583.fastq.gz | Fastqsanger.gz | |||
| SRR9687584.fastq.gz | Fastqsanger.gz |
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Project description:Freshwater environments such as rivers receive effluent discharges from wastewater treatment plants, representing a potential hotspot for antibiotic resistance genes (ARGs). These effluents also contain low levels of different antimicrobials including biocides and antibiotics such as sulfonamides that can be frequently detected in rivers. The impact of such exposure on ARG prevalence and microbial diversity of riverine environment is unknown, so the aim of this study was to investigate the release of a sub-lethal concentration (<4 g L-1) of the sulfonamide compound sulfamethoxazole (SMX) on the river bacterial microbiome using a microflume system. This system was a semi-natural in-vitro microflume using river water (30 L) and sediment, with circulation to mimic river flow. A combination of ‘omics’ approaches were conducted to study the impact of SMX exposure on the microbiomes within the microflumes. Metaproteomics did not show differences in ARGs expression with SMX exposure in water.
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Project description:The pollution of the environment with microplastics has been recognized as an emerging threat worldwide. Due to an exponential increase in production of plastic over the last eight decades and its longevity in the environment, accumulating amounts of microplastic are polluting rivers, lakes and the ocean. Their entry pathways are diverse and still only incompletely understood. Since microplastics are usually defined smaller than 5 mm, it can be ingested by a wide range of aquatic organisms including teleost fish. There are different approaches to study the detrimental effects of pollutants on aquatic organisms. On the one hand, generic baseline parameters such as growth and mortality are regularly considered, often accompanied by established stress parameters such as cortisol, heat shock proteins or lipid oxidation. The conflicting findings to date suggest that these parameters might not be sensitive enough to indicate the physiological effects of environmentally relevant microplastic concentrations. For this reason, more sophisticated biological approaches could provide new insights into whether and how microplastics harm fish. To date, proteomic approaches have been used only sporadically when investigating the effects of microplastic exposure on aquatic organisms. So far, this approach has not been used to address potential microplastic impacts in fish. In the present study, a proteomic approach was trialed alongside established methods in an investigation of fish experiencing long-term exposure to environmentally relevant concentrations of microplastics. Two groups of rainbow trout (Oncorhynchus mykiss were exposed to microplastic concentrations and sizes currently encountered in wild fish and an increased concentration, expected to occur in the near future. These groups where compared to a control group maintained in MP free conditions. Five fish of each treatment were sampled at three time points (week 1, week 4, week 17). The experiments were performed in triplicates, resulting in 45 samples used in the proteomic analysis.
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Project description:Cellular uptake and cytotoxicity data from neural cells treated with microplastics were compared and contrasted. Transcriptomic data obtained by RNA-seq from astrocytes treated with microplastics was assessed further.
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Project description:Due to difficulties inherent in designating conservation units for effective species management and conservation, the use of multiple complementary sources of information is required to identify and assess the designation of conservation units based on the degree of variation among populations within a species. In this study, we combined estimates of microsatellite and transcriptomic variation to assess the population structure and potential for adaptive variation of threatened Atlantic salmon, Salmo salar, among rivers in the Bay of Fundy. In general, population structure identified by genetic differentiation was consistent with the patterns of variation in gene expression. Both data sets provided clear indication of strong regional differentiation between rivers located within the inner Bay of Fundy relative to rivers located within the outer Bay of Fundy or the Southern Uplands region. There was also support for more refined population structure; there was some differentiation in both microsatellite and gene expression patterns between salmon from rivers in the two regions of the inner Bay of Fundy: Chignecto Bay and Minas Basin. Consistent patterns apparent in the genetic and transcriptomic dataset indicate that Atlantic salmon populations from the inner and outer Bay of Fundy reflect unique genetic lineages, with some evidence of unique genetic legacies between regions of the inner Bay of Fundy, and even between individual rivers within a region. Consistency of the microarray data across two years helps to validate the use of this technique as a useful tool in assessment of variation among wild populations for species conservation.
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Project description:The clinical importance of microbiomes to the chronicity of wounds is widely appreciated, yet little is understood about patient-specific processes shaping wound microbiome composition. Here, a two-cohort microbiome-genome wide association study is presented through which patient genomic loci associated with chronic wound microbiome diversity were identified. Further investigation revealed that alternative TLN2 and ZNF521 genotypes explained significant inter-patient variation in relative abundance of two key pathogens, Pseudomonas aeruginosa and Staphylococcus epidermidis. Wound diversity was lowest in Pseudomonas aeruginosa infected wounds, and decreasing wound diversity had a significant negative linear relationship with healing rate. In addition to microbiome characteristics, age, diabetic status, and genetic ancestry all significantly influenced healing. Using structural equation modeling to identify common variance among SNPs, six loci were sufficient to explain 53% of variation in wound microbiome diversity, which was a 10% increase over traditional multiple regression. Focusing on TLN2, genotype at rs8031916 explained expression differences of alternative transcripts that differ in inclusion of important focal adhesion binding domains. Such differences are hypothesized to relate to wound microbiomes and healing through effects on bacterial exploitation of focal adhesions and/or cellular migration. Related, other associated loci were functionally enriched, often with roles in cytoskeletal dynamics. This study, being the first to identify patient genetic determinants for wound microbiomes and healing, implicates genetic variation determining cellular adhesion phenotypes as important drivers of infection type. The identification of predictive biomarkers for chronic wound microbiomes may serve as risk factors and guide treatment by informing patient-specific tendencies of infection.
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