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A robust, cost-effective method for DNA, RNA and protein co-extraction from soil, other complex microbiomes and pure cultures

机译:对土壤,其他复杂的微生物和纯培养物的稳健性,经济高效的方法,用于土壤,其他复杂的微生物和纯培养物

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摘要

The soil microbiome is inherently complex with high biological diversity, and spatial heterogeneity typically occurring on the submillimetre scale. To study the microbial ecology of soils, and other microbiomes, biomolecules, that is, nucleic acids and proteins, must be efficiently and reliably co-recovered from the same biological samples. Commercial kits are currently available for the co-extraction of DNA, RNA and proteins but none has been developed for soil samples. We present a new protocol drawing on existing phenol-chloroform-based methods for nucleic acids co-extraction but incorporating targeted precipitation of proteins from the phenol phase. The protocol is cost-effective and robust, and easily implemented using reagents commonly available in laboratories. The method is estimated to be eight times cheaper than using disparate commercial kits for the isolation of DNA and/or RNA, and proteins, from soil. The method is effective, providing good quality biomolecules from a diverse range of soil types, with clay contents varying from 9.5% to 35.1%, which we successfully used for downstream, high-throughput gene sequencing and metaproteomics. Additionally, we demonstrate that the protocol can also be easily implemented for biomolecule co-extraction from other complex microbiome samples, including cattle slurry and microbial communities recovered from anaerobic bioreactors, as well as from Gram-positive and Gram-negative pure cultures.
机译:土壤微生物组具有高生物多样性的固有地复杂,并且通常在亚底粒子量表上发生空间异质性。为了研究土壤的微生物生态学,以及其他微生物体,生物分子,即核酸和蛋白质,必须从相同的生物样品中有效且可靠地回收。商业套件目前可用于共同提取DNA,RNA和蛋白质,但没有用于土壤样品。我们提出了一种新的基于酚类氯仿的基于核酸的基于核酸的方法,而是从酚相的蛋白质的靶向沉淀。该方案具有成本效益和稳健,并且可以使用实验室中常用的试剂轻松实现。该方法估计比使用不同的商业试剂盒从土壤中分离DNA和/或RNA和蛋白质,八倍。该方法是有效的,提供来自各种土壤类型的良好质量的生物分子,粘土内容物从9.5%变化,我们成功地用于下游,高通量基因测序和标准组科。另外,我们证明了该方案也可以容易地用于从其他复杂的微生物组样品中的生物分子共萃取,包括从厌氧生物反应器中回收的牛浆料和微生物社区,以及革兰氏阳性和革兰氏阴性纯培养物。

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