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基因组学揭示了工业污染物分离株的新种属位置,这些分离株曾被错误地鉴定为 。

Genomics reveals the novel species placement of industrial contaminant isolates incorrectly identified as .

机构信息

Cardiff University, Microbiomes, Microbes and Informatics Group, Organisms and Environment Division, School of Biosciences, Cardiff University, CF10 3AX, UK.

Unilever Research and Development, Port Sunlight, Bebbington, CH63 3JW, UK.

出版信息

Microb Genom. 2021 Apr;7(4). doi: 10.1099/mgen.0.000564.

Abstract

The complex (Bcc) is a closely related group of bacteria, composed of at least 20 different species, the accurate identification of which is essential in the context of infectious diseases. In industry, they can contaminate non-food products, including home and personal care products and cosmetics. The Bcc are problematic contaminants due to their ubiquitous presence and intrinsic antimicrobial resistance, which enables them to occasionally overcome preservation systems in non-sterile products. and are amongst the Bcc bacteria encountered most frequently as industrial contaminants, but their identification is not straightforward. Both species were historically established as a part of a group known collectively as taxon K, based upon analysis of the gene and multilocus sequence typing (MLST). Here, we deploy a straightforward genomics-based workflow for accurate Bcc classification using average nucleotide identity (ANI) and core-gene analysis. The workflow was used to examine a panel of 23 taxon K industrial strains, which, based on MLST, comprised 13 4 and 6 unclassified Bcc strains. Our genomic identification showed that the strains retained their classification, whilst the remaining strains were reclassified as sp. nov. Incorrect taxonomic identification of industrial contaminants is a problematic issue. Application and testing of our genomic workflow allowed the correct classification of 23 Bcc industrial strains, and also indicated that sp. nov. may have greater importance than as a contaminant species. Our study illustrates how the non-food manufacturing industry can harness whole-genome sequencing to better understand antimicrobial-resistant bacteria affecting their products.

摘要

该复合体(Bcc)是一组密切相关的细菌,由至少 20 个不同的物种组成,在传染病背景下,准确识别这些物种至关重要。在工业领域,它们可能会污染非食品产品,包括家庭和个人护理产品以及化妆品。Bcc 是有问题的污染物,因为它们无处不在且具有内在的抗微生物性,这使它们偶尔能够克服非无菌产品中的保存系统。 和 是作为工业污染物最常遇到的 Bcc 细菌之一,但它们的鉴定并不简单。这两个物种历史上都被确立为一个被称为分类群 K 的群体的一部分,这是基于对 基因和多位点序列分型(MLST)的分析。在这里,我们使用基于基因组的简单工作流程,使用平均核苷酸同一性(ANI)和核心基因分析来准确分类 Bcc。该工作流程用于检查一组 23 个分类群 K 工业菌株,根据 MLST,这些菌株包括 13 个 4 和 6 个未分类的 Bcc 菌株。我们的基因组鉴定表明, 菌株保留了其分类,而其余菌株被重新分类为 sp. nov.。对工业污染物的不正确分类鉴定是一个有问题的问题。我们基因组工作流程的应用和测试允许对 23 个 Bcc 工业菌株进行正确分类,并且还表明 sp. nov.可能比 作为污染物种更为重要。我们的研究说明了非食品制造业如何利用全基因组测序来更好地了解影响其产品的抗微生物性细菌。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c60/8208689/5fd21324a28b/mgen-7-0564-g001.jpg

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