生物强化
废水
微生物种群生物学
生化工程
降级(电信)
污水处理
活性污泥
微生物降解
环境科学
分解代谢
生物降解
废物管理
化学
环境工程
环境化学
功能(生物学)
生物技术
选择(遗传算法)
制浆造纸工业
污染物
生物修复
污染
生态学
代谢途径
生物
合成生物学
资源回收
微生物生态学
抗生素
作者
Qiuju Liu,Shaoting Wu,Sai Gong,Han Su,Ying Jin,Haoran Chen,Yingzheng Fan,Ran Yin,Xinkun Ren,Jinfeng Wang
标识
DOI:10.1021/acs.est.6c01020
摘要
Conventional biological wastewater treatment often fails to remove emerging contaminants (ECs) because specialized degraders are absent. We developed a function-ecology-integrated framework for designing synthetic microbial communities (SynComs) by combining metagenome-guided identification of degradation potential, quorum-sensing functionality screening, and keystone-based selection from genome-scale metabolic models (GSMMs). Applied to sulfamethoxazole (SMX) degradation, this approach identified five strains with stable catabolic potential and high ecological coherence. GSMM simulations predicted SynCom5 (three species) and SynCom11 (four species) would achieve the highest SMX uptake fluxes (30.7 and 31.7 mmol gDW –1 h –1, respectively), driven by complementary amino acid cross-feeding and a high ratio of metabolic interaction potential to resource overlap. Experimentally, both SynComs removed >90% of SMX within 72 h, with SynCom11 selected for bioaugmentation. In activated sludge microcosms, SynCom11 achieved 91.3% SMX removal over 7 days, compared to 25.8% in controls, and successfully engrafted 2 of its 4 members. This approach avoids high-concentration selective pressure, minimizing resistance risks, and demonstrates that embedding an ecologically informed design within catabolic function enables robust, scalable bioaugmentation for ECs.
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