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核心技术专利:CN118964589B侵权必究
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基于 DNA、PMA 和 RNA 的 Illumina 16S rRNA 测序技术在水中活菌检测中的比较。

Comparison of DNA-, PMA-, and RNA-based 16S rRNA Illumina sequencing for detection of live bacteria in water.

机构信息

Department of Soil Science, University of Manitoba, Winnipeg, MB, R3T 2N2, Canada.

Department of plant protection, Yunnan Agricultural University, Kunming, Yunnan province, 650201, China.

出版信息

Sci Rep. 2017 Jul 18;7(1):5752. doi: 10.1038/s41598-017-02516-3.


DOI:10.1038/s41598-017-02516-3
PMID:28720878
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5515937/
Abstract

The limitation of 16S rRNA gene sequencing (DNA-based) for microbial community analyses in water is the inability to differentiate live (dormant cells as well as growing or non-growing metabolically active cells) and dead cells, which can lead to false positive results in the absence of live microbes. Propidium-monoazide (PMA) has been used to selectively remove DNA from dead cells during downstream sequencing process. In comparison, 16S rRNA sequencing (RNA-based) can target live microbial cells in water as both dormant and metabolically active cells produce rRNA. The objective of this study was to compare the efficiency and sensitivity of DNA-based, PMA-based and RNA-based 16S rRNA Illumina sequencing methodologies for live bacteria detection in water samples experimentally spiked with different combination of bacteria (2 gram-negative and 2 gram-positive/acid fast species either all live, all dead, or combinations of live and dead species) or obtained from different sources (First Nation community drinking water; city of Winnipeg tap water; water from Red River, Manitoba, Canada). The RNA-based method, while was superior for detection of live bacterial cells still identified a number of 16S rRNA targets in samples spiked with dead cells. In environmental water samples, the DNA- and PMA-based approaches perhaps overestimated the richness of microbial community compared to RNA-based method. Our results suggest that the RNA-based sequencing was superior to DNA- and PMA-based methods in detecting live bacterial cells in water.

摘要

16S rRNA 基因测序(基于 DNA)在水体微生物群落分析中的局限性在于无法区分活细胞(休眠细胞以及生长或非生长代谢活跃细胞)和死细胞,这可能导致在没有活微生物的情况下出现假阳性结果。吖啶橙单脒(PMA)已被用于在下游测序过程中选择性地去除死细胞的 DNA。相比之下,16S rRNA 测序(基于 RNA)可以靶向水体中的活微生物细胞,因为休眠和代谢活跃的细胞都会产生 rRNA。本研究的目的是比较基于 DNA、基于 PMA 和基于 RNA 的 16S rRNA Illumina 测序方法在实验中添加不同组合的细菌(2 种革兰氏阴性和 2 种革兰氏阳性/抗酸菌,要么全部存活,要么全部死亡,要么存活和死亡的组合)或来自不同来源的水样(第一民族社区饮用水;温尼伯市自来水;来自加拿大马尼托巴省红河的水)中检测活细菌的效率和灵敏度。虽然基于 RNA 的方法更适合检测活细菌细胞,但它仍然在添加死细胞的样品中鉴定出了一些 16S rRNA 靶标。在环境水样中,与基于 RNA 的方法相比,基于 DNA 和 PMA 的方法可能高估了微生物群落的丰富度。我们的结果表明,在检测水样中的活细菌细胞方面,基于 RNA 的测序方法优于基于 DNA 和 PMA 的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef4b/5515937/d12259535ebc/41598_2017_2516_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef4b/5515937/6f96d5788745/41598_2017_2516_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef4b/5515937/b0ee463e8f2a/41598_2017_2516_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef4b/5515937/53c5adeacf7d/41598_2017_2516_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef4b/5515937/18752a05af6a/41598_2017_2516_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef4b/5515937/24a07bdedc08/41598_2017_2516_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef4b/5515937/8b1678baa958/41598_2017_2516_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef4b/5515937/2f131b98690d/41598_2017_2516_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef4b/5515937/d12259535ebc/41598_2017_2516_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef4b/5515937/6f96d5788745/41598_2017_2516_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef4b/5515937/b0ee463e8f2a/41598_2017_2516_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef4b/5515937/53c5adeacf7d/41598_2017_2516_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef4b/5515937/18752a05af6a/41598_2017_2516_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef4b/5515937/24a07bdedc08/41598_2017_2516_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef4b/5515937/8b1678baa958/41598_2017_2516_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef4b/5515937/2f131b98690d/41598_2017_2516_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef4b/5515937/d12259535ebc/41598_2017_2516_Fig8_HTML.jpg

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