Project description:Coal is a major energy source that generates diverse environmental impacts through its production, primarily by the release of coal dust particles. An aqueous coal dust extract was obtained from a mineral sample taken from one of the largest coal mines in Colombia (La Loma, Cesar), trace elements by ICP/MS were measured, and its toxicity evaluated using the zebrafish (Danio rerio) vertebrate model. In this study, zebrafish embryos were exposed to different concentrations of aqueous coal extract (0, 0.1, 1, 10, 100 and 1000 parts per million (ppm; μg/mL) to establish acute toxicity, as well as morphological and transcriptome alterations. Trace elements within the coal extract yielding the highest concentrations included Sr, Zn, Ba, As, Cu, Se, Li, Ni, Sb, Rb, Co, and Cr. In addition, Cd and Pb were found in lower concentrations. No significant difference in mortality was observed with survival near 90% in all treatments. A significant decrease in rate of hatching was observed in the 0.1 and 1000 ppm treatment groups at 72 hpf. Furthermore, no significant differences in total body length, head length, or head diameter was observed in any of the treatment groups. Transcriptomic results of zebrafish larvae revealed alterations in 77, 61, and 1,376 genes in the 1, 10, and 100 ppm treatments, respectively. Gene ontology analysis revealed gene alterations associated with hematological system development and function, tissue morphology and development, connective tissue development and function, and embryonic development. Overall, these findings are the first to identify gene expression alterations in response to a developmental aqueous coal dust residue from coal mining.
Project description:Global warming has shifted climate zones poleward or upward. However, understanding the responses and mechanism of microbial community structure and functions relevant to natural climate zone succession is challenged by the high complexity of microbial communities. Here, we examined soil microbial community in three broadleaved forests located in the Wulu Mountain (WLM, temperate climate), Funiu Mountain (FNM, at the border of temperate and subtropical climate zones), or Shennongjia Mountain (SNJ, subtropical climate).Soils were characterized for geochemistry, Illumina sequencing was used to determine microbial taxonomic communities and GeoChips 5.0 were used to determine microbial functional genes.
Project description:This study used an emerging analytical technology (cDNA microarrays) to assess the potential effects of PFC exposure on largemouth bass in TCMA lakes. Microarrays simultaneously measure the expression of thousands of genes in various tissues from organisms exposed to different environmental conditions. From this large data set, biomarkers (i.e., genes that are expressed in response to an exposure to known stressors) and bioindicators (e.g., suites of genes that correspond to changes in organism health) can be simultaneously measured to clarify the relationship between contaminant exposure and organism health. Based on current scientific literature, we hypothesized that gene expression patterns would be altered in fish exposed to PFCs (as compared with fish from reference lakes), and that the magnitude of these changes would correspond to the concentrations of PFCs present throughout TCMA lakes. Patterns of gene expression in largemouth bass observed across the TCMA lakes corresponded closely with PFC concentration. Concentrations of PFCs in largemouth bass varied significantly across the sampled lakes, where the lowest concentrations were found in Steiger and Upper Prior Lakes and the highest concentrations were found in Calhoun and Twin Lakes. Patterns of gene expression were most different (relative to controls) in fish with the highest PFC tissue concentrations, where fish from Twin and Calhoun Lakes were observed to have between 5437 and 5936 differentially expressed genes in liver and gonad tissues. Although gene expression patterns demonstrated a high degree of correlation with PFC concentrations, microarray data also suggest there are likely additional factors influencing gene expression patterns in largemouth bass in TCMA lakes.
Project description:Coal mining carries inherent risks of catastrophic gas explosions capable of inflicting severe lung injury. Using a rat model, we explored mechanisms underlying alveolar epithelial damage and repair following a gas explosion. By performing scRNA-sequencing, we revealed that alveolar epithelial cells exhibited the most profound transcriptomic changes after gas explosion compared to other pulmonary cell types.