评估尿量和宿主耗竭方法以实现尿组基因组解析宏基因组学。

IF 12.7 1区 生物学 Q1 MICROBIOLOGY
Zachary J Lewis, Angela Scott, Christopher Madden, Dean Vik, Ahmed A Zayed, Garrett J Smith, Sheryl S Justice, Adam Rudinsky, Jessica Hokamp, Vanessa L Hale
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引用次数: 0

摘要

背景:肠道微生物群已经成为健康和疾病的明确参与者,部分通过介导宿主对环境和生活方式的反应。泌尿组(泌尿道的微生物群)可能也有类似的功能。然而,由于尿液中微生物生物量低和宿主细胞脱落率高等技术挑战,表征尿组和评估其功能潜力的努力受到限制。在这里,为了开始解决这些挑战,我们评估了尿样本量(100 mL -5 mL)和宿主DNA消耗方法及其对健康狗尿组谱的影响,这是人类尿组的一个强大的大型动物模型。我们收集了7只狗的尿液,并将样本分成等份。一组样本中加入了宿主(犬)细胞,以模拟尿液中与生物相关的宿主细胞负荷。然后对样本进行DNA提取、16S rRNA基因提取和散弹枪宏基因组测序。然后,我们组装宏基因组组装基因组(MAGs),并比较各组之间的微生物组成和多样性。我们测试了6种DNA提取方法:QIAamp BiOstic Bacteremia(无宿主耗尽)、QIAamp DNA Microbiome、Molzym MolYsis、NEBNext Microbiome DNA富集、zimo HostZERO和单叠氮丙啶。结果:与尿样本量相关,≥3.0 mL导致尿组分析最一致。在宿主消耗方面,个体(狗)而非提取方法导致了微生物组成的总体差异。DNA微生物组在16S rRNA测序数据和霰弹枪宏基因组测序数据中产生了最大的微生物多样性,并在有效消耗宿主添加的尿液样本中的宿主DNA的同时最大限度地恢复了MAG。作为原理证明,我们随后挖掘了mag,以选择代谢功能,包括中枢代谢途径和环境化学降解。结论:我们的研究结果为研究尿组与样本量和宿主耗损的关系提供了指南,并为未来评估尿组与健康和疾病的关系奠定了基础。视频摘要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluating urine volume and host depletion methods to enable genome-resolved metagenomics of the urobiome.

Background: The gut microbiome has emerged as a clear player in health and disease, in part by mediating host response to environment and lifestyle. The urobiome (microbiota of the urinary tract) likely functions similarly. However, efforts to characterize the urobiome and assess its functional potential have been limited due to technical challenges including low microbial biomass and high host cell shedding in urine. Here, to begin addressing these challenges, we evaluate urine sample volume (100 ml-5 mL) and host DNA depletion methods and their effects on urobiome profiles in healthy dogs, which are a robust large animal model for the human urobiome. We collected urine from seven dogs and fractionated samples into aliquots. One set of samples was spiked with host (canine) cells to model a biologically relevant host cell burden in urine. Samples then underwent DNA extraction followed by 16S rRNA gene and shotgun metagenomic sequencing. We then assembled metagenome-assembled genomes (MAGs) and compared microbial composition and diversity across groups. We tested six methods of DNA extraction: QIAamp BiOstic Bacteremia (no host depletion), QIAamp DNA Microbiome, Molzym MolYsis, NEBNext Microbiome DNA Enrichment, Zymo HostZERO, and propidium monoazide.

Results: In relation to urine sample volume, ≥ 3.0 mL resulted in the most consistent urobiome profiling. In relation to host depletion, individual (dog) but not extraction method drove overall differences in microbial composition. DNA Microbiome yielded the greatest microbial diversity in 16S rRNA sequencing data and shotgun metagenomic sequencing data and maximized MAG recovery while effectively depleting host DNA in host-spiked urine samples. As proof-of-principle, we then mined MAGs for select metabolic functions including central metabolism pathways and environmental chemical degradation.

Conclusions: Our findings provide guidelines for studying the urobiome in relation to sample volume and host depletion and lay the foundation for future evaluation of urobiome function in relation to health and disease. Video Abstract.

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来源期刊
Microbiome
Microbiome MICROBIOLOGY-
CiteScore
21.90
自引率
2.60%
发文量
198
审稿时长
4 weeks
期刊介绍: Microbiome is a journal that focuses on studies of microbiomes in humans, animals, plants, and the environment. It covers both natural and manipulated microbiomes, such as those in agriculture. The journal is interested in research that uses meta-omics approaches or novel bioinformatics tools and emphasizes the community/host interaction and structure-function relationship within the microbiome. Studies that go beyond descriptive omics surveys and include experimental or theoretical approaches will be considered for publication. The journal also encourages research that establishes cause and effect relationships and supports proposed microbiome functions. However, studies of individual microbial isolates/species without exploring their impact on the host or the complex microbiome structures and functions will not be considered for publication. Microbiome is indexed in BIOSIS, Current Contents, DOAJ, Embase, MEDLINE, PubMed, PubMed Central, and Science Citations Index Expanded.
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