In the project of year 2013, we used both next generation sequencing technology and bioremediation approaches to discover the detailed mechanisms of dioxin degradation. The potential bacteria strains that can degrade dioxin were isolated and characterized via both genomic sequencing and transcriptomic analysis. The genome annotation and functional genes expressed under dioxin induction were analyzed and the specific metabolomic pathways were identified. We isolated Rhodococcus erythropolis strain B11 that can degrade OCDF (eight chlorine dioxin) and the whole genomic information was completed. Nevertheless, we also found an endophyte, Burkholderia cenocepacia, that can benefit plant growth and show tolerance to both highly chlorinated dioxin and mercury. Both whole genomic sequencing and transcriptomic analysis under dioxin inducing were finished. Using BLAST tool, important functional genes such as genes belong to tonB family that may involve in the intracellular dioxin transportation were identified. In the project of year 2014, the differential analysis of both meta-genome and meta-transcriptomic analysis were done under different contaminations to identify dominant bacteria and their functional transcripts. The identified biological factors identified from results were expected to further used in the field of environmental forensics. In addition, we established the overall pipeline of soil samples for meta-genome and meta-transcript analysis. Based on metagenomic data, dominant bacteria still survived, suggesting that specific contaminations may not interfere substantial tendency although different sample locations may affect soil microbe constitutions. We also found that soil microbial population in aromatic polycyclic, hydrocarbons condition: Alcanivora genusis is dominant while Erythrobacteraceae family population is slightly rising. Both of them have potentials to become detectable targets. Furthermore, compared all six experimental samples, we found the proportion of Gaiellaceae family of Actinomyces gradually increased, and it could be regarded as one of the pressure indicators in the contaminated soil. On the other hand, based on the transtriptomic data, we found four specific transcripts (mhpA, dsrA, MAP2K2, E2.8.3) that may be used as dioxin contamination biomarker. It provides the indication of environmental testing that can be further investigated and evaluated.

next generation sequence, dioxin, Polycylclic aromatic hydrocarbon