Genomic screening for novel peptide antibiotics in biofilm cyanobacteria by in-silico analysis and PCR

Biofilms Pub Date : 2020-07-01 DOI:10.5194/biofilms9-24
S. Lenz, J. Walther, D. Strieth, R. Ulber
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Abstract

Cyanobacteria are a group of phototrophic prokaryotes commonly known as blue-green algae. They grow embedded as biofilms in a thick matrix of extracellular polymeric substances (EPS) and can produce a highly diverse range of secondary metabolites, which are interesting in terms of their antimicrobial activity. Among these components, polyketide and polypeptide molecules are dominating. Antimicrobial polypeptide molecules are usually post-translational-modified or synthesised by non-ribosomal peptide synthetase (NRPS). Standard screening for antibiotics by inhibition tests is very time consuming and expression of antimicrobic activity highly depend on cultivation conditions. Therefore, they can vary between different cultivations. On a genomic level existing, but in this cultivation not synthesized, antibiotics are completely neglected. Due to the increasing amount of available genomic sequence data, screening for novel antibiotics can also be done in-silico. Highly homologous sequences to known antibiotic gen clusters can be determined in cyanobacterial genomes and eventually be detected in-vivo through PCR analysis. Compared to inhibition tests, a major advantage of PCR is the little amount of biomass needed. As the growth of cyanobacteria is slow, e.g. Trichocoleus sociatus (0.44 d-1) compared to bacteria like Escherichia coli (2.08 h-1), this leads to significant shorter cultivation and screening time. In addition, qPCR can be used to determine gene expression quantity of the considered genes. PCR with degenerated primers for specific gen cluster like NRPS, polyketide synthetases, lanthipeptides etc. can also be used to screen non-sequenced cyanobacteria for the possible origin of an unidentified antibiotic.

The following work is part of the iProcess project, whose overall scientific goal is to develop the process engineering fundamentals for using fungi and cyanobacteria as production organisms for pharmaceutically active substances. As part of the iProcess project, a semi-continuous process for the production of antibiotics from cyanobacteria biofilms in aerosol reactors shall be developed. Aim of the following work is the in-silico search for new polypeptide antibiotics, as well as the subsequent in-vivo detection to discover promising cyanobacteria as production strains. In the first instance, the screening is focusing on the intern cyanobacteria strain collection of the TU Kaiserslautern. Subsequently the new strains will be cultivated as biofilms in an aerosol reactor and the resulting extracellular polymeric substances can be analysed for their antimicrobial activity.

 

This project is financially supported by Ministry of Science, Further Education and Culture of Rhineland-Palatinate (mwwk.rlp) (iProcess intelligent process development – from modelling to product).

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应用计算机分析和聚合酶链式反应在生物膜蓝藻中筛选新型肽类抗生素
蓝藻是一组光养原核生物,通常被称为蓝绿藻。它们以生物膜的形式嵌入细胞外聚合物(EPS)的厚基质中,可以产生高度多样的次级代谢产物,就其抗菌活性而言,这是令人感兴趣的。在这些成分中,聚酮和多肽分子占主导地位。抗菌多肽分子通常由非核糖体肽合成酶(NRPS)进行翻译后修饰或合成。通过抑制试验进行抗生素的标准筛选非常耗时,并且抗微生物活性的表达高度依赖于培养条件。因此,它们在不同的修炼中可能会有所不同。在基因组水平上存在,但在这种没有合成的培养中,抗生素被完全忽视了。由于可用的基因组序列数据越来越多,新抗生素的筛选也可以在计算机上进行。与已知抗生素基因簇高度同源的序列可以在蓝藻基因组中确定,并最终通过PCR分析在体内检测。与抑制试验相比,PCR的一个主要优点是所需的生物量很少。由于蓝藻的生长缓慢,例如社交毛coleus sociatus(0.44 ;d-1)与大肠杆菌(2.08 ;h-1)等细菌相比,这导致培养和筛选时间显著缩短。此外,qPCR可用于确定所考虑的基因的基因表达量。具有特定基因簇(如NRPS、聚酮合成酶、镧肽等)的退化引物的PCR也可用于筛选未测序的蓝藻,以寻找未知抗生素的可能来源。以下工作是iProcess项目的一部分,该项目的总体科学目标是开发利用真菌和蓝藻作为药物活性物质生产生物的工艺工程基础。作为iProcess项目的一部分,应开发一种在气溶胶反应器中用蓝藻生物膜生产抗生素的半连续工艺。以下工作的目的是在计算机上寻找新的多肽抗生素,以及随后的体内检测,以发现有前景的蓝藻作为生产菌株。在第一个例子中,筛选的重点是TU Kaiserslautern的实习蓝藻菌株收集。随后,新菌株将在气溶胶反应器中作为生物膜进行培养,并可以分析产生的细胞外聚合物的抗菌活性 ;该项目得到了莱茵兰-普法尔茨州科学、继续教育和文化部(mwwk.rlp)的资助(从建模到产品的iProcess智能过程开发)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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