Abstract
Interpreting high-throughput transcriptomic and metagenomic data from non-model microorganisms presents a challenge due to the significant number of genes with unknown functions and sequences. In this study, we applied an innovative microarray, Dehalochip, for detecting the expression of genes in various microorganisms, particularly focusing on genes involved in chloroethene degradation. Our results demonstrated that this approach can effectively identify dechlorination genes, such as 16S rRNA, tceA, bvcA, and vcrA, in Dehalococcoides mccartyi from samples of groundwater contaminated with chloroethene. Noticeably, the sensitivity and specificity of our Dehalochip are comparable to that of quantitative PCR. However, it stands out as a more viable option for in-situ applications due to its greater capacity to infer potential dechlorination genes. Consequently, we believe our dechlorination microarray offers valuable insights into the role of known microorganisms and their associated functional genes in chloroethene-contaminated environments. This contributes to a deeper understanding of the in-situ reductive dechlorination process.
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