Huddy Robert J, Sachdeva Rohan, Kadzinga Fadzai, Kantor Rose S, Harrison Susan T L, Banfield Jillian F
Centre for Bioprocess Engineering Research, University of Cape Town, Cape Town, South Africa.
Future Water Institute, University of Cape Town, Cape Town, South Africa.
Front Microbiol. 2021 Apr 8;12:643368. doi: 10.3389/fmicb.2021.643368. eCollection 2021.
Thiocyanate (SCN) contamination threatens aquatic ecosystems and pollutes vital freshwater supplies. SCN-degrading microbial consortia are commercially adapted for remediation, but the impact of organic amendments on selection within SCN-degrading microbial communities has not been investigated. Here, we tested whether specific strains capable of degrading SCN could be reproducibly selected for based on SCN loading and the presence or absence of added organic carbon. Complex microbial communities derived from those used to treat SCN-contaminated water were exposed to systematically increased input SCN concentrations in molasses-amended and -unamended reactors and in reactors switched to unamended conditions after establishing the active SCN-degrading consortium. Five experiments were conducted over 790 days, and genome-resolved metagenomics was used to resolve community composition at the strain level. A single strain proliferated in all reactors at high loadings. Despite the presence of many strains, a single variant dominated the molasses-free reactor at moderately high loadings. This strain is predicted to break down SCN using a novel thiocyanate desulfurase, oxidize resulting reduced sulfur, degrade product cyanate to ammonia and CO via cyanate hydratase, and fix CO via the Calvin-Benson-Bassham cycle. Removal of molasses from input feed solutions reproducibly led to dominance of this strain. Although sustained by autotrophy, reactors without molasses did not stably degrade SCN at high loading rates, perhaps due to loss of biofilm-associated niche diversity. Overall, convergence in environmental conditions led to convergence in the strain composition, although reactor history also impacted the trajectory of community compositional change.
硫氰酸盐(SCN)污染威胁着水生生态系统,并污染重要的淡水供应。降解SCN的微生物群落已在商业上用于修复,但有机改良剂对SCN降解微生物群落内选择的影响尚未得到研究。在这里,我们测试了是否可以根据SCN负荷以及添加或不添加有机碳的情况,可重复地选择能够降解SCN的特定菌株。将来自处理SCN污染水的复杂微生物群落暴露于糖蜜改良和未改良的反应器中系统增加的输入SCN浓度下,以及在建立活性SCN降解菌群后切换到未改良条件的反应器中。在790天内进行了五项实验,并使用基因组解析宏基因组学在菌株水平上解析群落组成。在所有高负荷反应器中,单一菌株大量繁殖。尽管存在许多菌株,但在中等高负荷下,单一变体在无糖蜜反应器中占主导地位。预计该菌株使用一种新型硫氰酸酯脱硫酶分解SCN,氧化产生的还原硫,通过氰酸盐水合酶将产物氰酸盐降解为氨和CO,并通过卡尔文-本森-巴斯姆循环固定CO。从输入进料溶液中去除糖蜜可重复导致该菌株占主导地位。尽管通过自养维持,但无糖蜜的反应器在高负荷率下不能稳定降解SCN,这可能是由于生物膜相关生态位多样性的丧失。总体而言,环境条件的趋同导致了菌株组成的趋同,尽管反应器历史也影响了群落组成变化的轨迹。