Abstract Petroleum pollution is a global concern because it causes serious environmental and human health problems. Microbial communities play important roles in petroleum biodegradation. In this study, a synthetic bacterial consortium for efficiently degrading ability was constructed on the basis of a minimal value algorithm running on MATLAB. Functional microbial diversity-based screening of three petroleum-degrading strains, Achromobacter sp. P3, Sphingobium sp. P10 and Rhizobium sp. P14, enabled the initial synthesis of the bacterial consortium in combination with a previously used bacterial consortium PDM. When 27.0% of P3, 21.0% of P10, 28.0% of P14 and 24.0% of consortium PDM were inoculated to a petroleum medium, 78.9% of petroleum was degraded under the optimal conditions. The synthetic bacterial consortium has 34.8% higher petroleum degradation than the original bacterial community PDM. Total 40% of the petroleum in the contaminated soil was removed after 20 days of soil bioremediation using the reconstructed consortium. This is an attempt to remediate petroleum-contaminated pollution with synthetic biology via reconstructing a synthetic bacterial community, providing a new idea for the remediation of other pollution problems.

中文翻译：

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使用基于最小值算法的合成细菌聚生体最大化石油生物降解

摘要 石油污染是一个全球性的问题，因为它会导致严重的环境和人类健康问题。微生物群落在石油生物降解中起着重要作用。在本研究中，基于在 MATLAB 上运行的最小值算法构建了具有高效降解能力的合成细菌聚生体。基于功能微生物多样性的三种石油降解菌株无色杆菌的筛选。P3，鞘氨醇菌。P10 和根瘤菌属。P14，与以前使用的细菌聚生体 PDM 相结合，使细菌聚生体的初始合成成为可能。当27.0%的P3、21.0%的P10、28.0%的P14和24.0%的聚生PDM接种到石油培养基中时，在最佳条件下降解了78.9%的石油。合成细菌聚生体有 34 个。石油降解率比原始细菌群落 PDM 高 8%。使用重建的财团进行土壤生物修复 20 天后，污染土壤中总共 40% 的石油被去除。这是通过重建合成细菌群落，利用合成生物学修复石油污染的一种尝试，为其他污染问题的修复提供了新思路。