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重分析和模拟表明,基于基因芯片的微生物群落分析方法不能准确地描绘微生物群落。

Reanalysis and simulation suggest a phylogenetic microarray does not accurately profile microbial communities.

机构信息

Division of Food and Nutritional Sciences, CSIRO, North Ryde, New South Wales, Australia.

出版信息

PLoS One. 2012;7(3):e33875. doi: 10.1371/journal.pone.0033875. Epub 2012 Mar 22.

DOI:10.1371/journal.pone.0033875
PMID:22457798
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3310882/
Abstract

The second generation (G2) PhyloChip is designed to detect over 8700 bacteria and archaeal and has been used over 50 publications and conference presentations. Many of those publications reveal that the PhyloChip measures of species richness greatly exceed statistical estimates of richness based on other methods. An examination of probes downloaded from Greengenes suggested that the system may have the potential to distort the observed community structure. This may be due to the sharing of probes by taxa; more than 21% of the taxa in that downloaded data have no unique probes. In-silico simulations using these data showed that a population of 64 taxa representing a typical anaerobic subterranean community returned 96 different taxa, including 15 families incorrectly called present and 19 families incorrectly called absent. A study of nasal and oropharyngeal microbial communities by Lemon et al (2010) found some 1325 taxa using the G2 PhyloChip, however, about 950 of these taxa have, in the downloaded data, no unique probes and cannot be definitively called present. Finally, data from Brodie et al (2007), when re-examined, indicate that the abundance of the majority of detected taxa, are highly correlated with one another, suggesting that many probe sets do not act independently. Based on our analyses of downloaded data, we conclude that outputs from the G2 PhyloChip should be treated with some caution, and that the presence of taxa represented solely by non-unique probes be independently verified.

摘要

第二代(G2)PhyloChip 旨在检测超过 8700 种细菌和古菌,并已在 50 多篇出版物和会议报告中使用。其中许多出版物表明,PhyloChip 的物种丰富度测量值大大超过了基于其他方法的丰富度统计估计。对从 Greengenes 下载的探针的检查表明,该系统可能具有扭曲观察到的群落结构的潜力。这可能是由于探针在分类群之间的共享;在该下载数据中,超过 21%的分类群没有唯一的探针。使用这些数据进行的计算机模拟表明,代表典型的厌氧地下群落的 64 个分类群的种群返回了 96 个不同的分类群,包括 15 个家族被错误地称为存在,19 个家族被错误地称为不存在。Lemon 等人(2010 年)对鼻腔和口咽微生物群落的研究发现,使用 G2 PhyloChip 检测到约 1325 个分类群,但在下载的数据中,大约 950 个分类群没有唯一的探针,不能明确地称为存在。最后,重新检查 Brodie 等人(2007 年)的数据表明,大多数检测到的分类群的丰度彼此高度相关,这表明许多探针集不能独立起作用。基于我们对下载数据的分析,我们得出结论,G2 PhyloChip 的输出应该谨慎对待,并且代表仅由非唯一探针表示的分类群的存在应该独立验证。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19fc/3310882/90bf83b9fa8b/pone.0033875.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19fc/3310882/dabde49ba25b/pone.0033875.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19fc/3310882/536269c462e0/pone.0033875.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19fc/3310882/90bf83b9fa8b/pone.0033875.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19fc/3310882/dabde49ba25b/pone.0033875.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19fc/3310882/536269c462e0/pone.0033875.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19fc/3310882/90bf83b9fa8b/pone.0033875.g003.jpg

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