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微生物学中的随机性:管理不可预测性,以实现可持续发展目标。

Stochasticity in microbiology: managing unpredictability to reach the Sustainable Development Goals.

机构信息

Center for Microbial Ecology and Technology (CMET), Faculty of Bioscience Engineering, Ghent University, Coupure Links 653, B-9000, Gent, Belgium.

Avecom NV, Industrieweg 122P, Wondelgem, 9032, Belgium.

出版信息

Microb Biotechnol. 2020 Jul;13(4):829-843. doi: 10.1111/1751-7915.13575. Epub 2020 Apr 20.

Abstract

Pure (single) cultures of microorganisms and mixed microbial communities (microbiomes) have been important for centuries in providing renewable energy, clean water and food products to human society and will continue to play a crucial role to pursue the Sustainable Development Goals. To use microorganisms effectively, microbial engineered processes require adequate control. Microbial communities are shaped by manageable deterministic processes, but also by stochastic processes, which can promote unforeseeable variations and adaptations. Here, we highlight the impact of stochasticity in single culture and microbiome engineering. First, we discuss the concepts and mechanisms of stochasticity in relation to microbial ecology of single cultures and microbiomes. Second, we discuss the consequences of stochasticity in relation to process performance and human health, which are reflected in key disadvantages and important opportunities. Third, we propose a suitable decision tool to deal with stochasticity in which monitoring of stochasticity and setting the boundaries of stochasticity by regulators are central aspects. Stochasticity may give rise to some risks, such as the presence of pathogens in microbiomes. We argue here that by taking the necessary precautions and through clever monitoring and interpretation, these risks can be mitigated.

摘要

纯(单)微生物培养物和混合微生物群落(微生物组)在为人类社会提供可再生能源、清洁水和食品产品方面已经具有重要意义,并且在追求可持续发展目标方面将继续发挥关键作用。为了有效地利用微生物,微生物工程化过程需要进行充分的控制。微生物群落是由可管理的确定性过程塑造的,但也受到随机性过程的影响,这可能会促进不可预见的变异和适应。在这里,我们强调了随机性在单培养物和微生物组工程中的影响。首先,我们讨论了随机性在单培养物和微生物组生态学方面的概念和机制。其次,我们讨论了随机性对工艺性能和人类健康的影响,这反映在关键的劣势和重要的机遇上。第三,我们提出了一个合适的决策工具来处理随机性,其中监测随机性和由监管机构设定随机性的边界是核心方面。随机性可能会带来一些风险,例如微生物组中存在病原体。我们认为,通过采取必要的预防措施,并通过巧妙的监测和解释,可以减轻这些风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc47/7264747/f4ea34ed7b32/MBT2-13-829-g001.jpg

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