One of the challenges to implementing the modeling of the biological reductive dechlorination (RD) process is the evaluation of biological parameters that represent the abundance/activity levels of the microorganisms involved in the biodegradation of chloroethenes. Here we report a combined analysis of kinetic and specific biomass parameters conducted on three dechlorinating consortia enriched on PCE, TCE and cis-1,2-DCE. In these consortia, Dehalococcoides mccartyi (Dhc) represented ≥70% of the bacterial population identified via 16S rRNA gene amplicon sequencing. Quantitative biomolecular methods were used to generate specific biomass parameters targeting either the Dhc population (16S rRNA genes or cells) or specific genes encoding RD process-involved reductive dehalogenases. The correlation factor between the abundance of active Dhc cells or tceA gene copies and maximum RD rates allowed to predict an increment of 7E+09 of active Dhc cells or 5E+09 tceA gene copies/L under controlled conditions. Diversely, the utilization of gene transcripts as biomass parameters for RD modeling did not provide reliable correlations with kinetic performances. This study provides valuable insights for further modeling of the RD process through the utilization of specific biomass parameters.

中文翻译：

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在富含氯乙烯 PCE、TCE 和 cis-1,2-DCE 的Dehalococcoides mccartyi财团中，最大还原脱氯率与特定生物量参数之间的相关性

实施生物还原脱氯 (RD) 过程建模的挑战之一是评估代表参与氯乙烯生物降解的微生物的丰度/活性水平的生物参数。在这里，我们报告了对富含 PCE、TCE 和 cis-1,2-DCE 的三个脱氯财团进行的动力学和特定生物量参数的综合分析。在这些联盟中，Dehalococcoides mccartyi ( Dhc ) 占通过16S rRNA 基因扩增子测序鉴定的细菌种群的70 % 以上。定量生物分子方法用于生成针对Dhc群体（16S rRNA 基因或细胞）或编码 RD 过程涉及的还原脱卤酶的特定基因。活性Dhc细胞或tceA基因拷贝的丰度与最大 RD 率之间的相关因子允许预测在受控条件下活性Dhc细胞增加 7E+09或 5E+09 tceA基因拷贝/L。不同的是，利用基因转录本作为 RD 建模的生物量参数并没有提供与动力学性能的可靠相关性。这项研究为通过利用特定的生物量参数进一步模拟 RD 过程提供了宝贵的见解。