Functional Gene Array-Based Ultrasensitive and Quantitative Detection of Microbial Populations in Complex Communities

ABSTRACT While functional gene arrays (FGAs) have greatly expanded our understanding of complex microbial systems, specificity, sensitivity, and quantitation challenges remain. We developed a new generation of FGA, GeoChip 5.0, using the Agilent platform. Two formats were created, a smaller format (...

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Autores principales: Zhou Shi, Huaqun Yin, Joy D. Van Nostrand, James W. Voordeckers, Qichao Tu, Ye Deng, Mengting Yuan, Aifen Zhou, Ping Zhang, Naijia Xiao, Daliang Ning, Zhili He, Liyou Wu, Jizhong Zhou
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Publicado: American Society for Microbiology 2019
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spelling oai:doaj.org-article:b8695d1276da4134beceeb6dadaea7b62021-12-02T19:47:34ZFunctional Gene Array-Based Ultrasensitive and Quantitative Detection of Microbial Populations in Complex Communities10.1128/mSystems.00296-192379-5077https://doaj.org/article/b8695d1276da4134beceeb6dadaea7b62019-08-01T00:00:00Zhttps://journals.asm.org/doi/10.1128/mSystems.00296-19https://doaj.org/toc/2379-5077ABSTRACT While functional gene arrays (FGAs) have greatly expanded our understanding of complex microbial systems, specificity, sensitivity, and quantitation challenges remain. We developed a new generation of FGA, GeoChip 5.0, using the Agilent platform. Two formats were created, a smaller format (GeoChip 5.0S), primarily covering carbon-, nitrogen-, sulfur-, and phosphorus-cycling genes and others providing ecological services, and a larger format (GeoChip 5.0M) containing the functional categories involved in biogeochemical cycling of C, N, S, and P and various metals, stress response, microbial defense, electron transport, plant growth promotion, virulence, gyrB, and fungus-, protozoan-, and virus-specific genes. GeoChip 5.0M contains 161,961 oligonucleotide probes covering >365,000 genes of 1,447 gene families from broad, functionally divergent taxonomic groups, including bacteria (2,721 genera), archaea (101 genera), fungi (297 genera), protists (219 genera), and viruses (167 genera), mainly phages. Computational and experimental evaluation indicated that designed probes were highly specific and could detect as little as 0.05 ng of pure culture DNAs within a background of 1 μg community DNA (equivalent to 0.005% of the population). Additionally, strong quantitative linear relationships were observed between signal intensity and amount of pure genomic (∼99% of probes detected; r > 0.9) or soil (∼97%; r > 0.9) DNAs. Application of the GeoChip to a contaminated groundwater microbial community indicated that environmental contaminants (primarily heavy metals) had significant impacts on the biodiversity of the communities. This is the most comprehensive FGA to date, capable of directly linking microbial genes/populations to ecosystem functions. IMPORTANCE The rapid development of metagenomic technologies, including microarrays, over the past decade has greatly expanded our understanding of complex microbial systems. However, because of the ever-expanding number of novel microbial sequences discovered each year, developing a microarray that is representative of real microbial communities, is specific and sensitive, and provides quantitative information remains a challenge. The newly developed GeoChip 5.0 is the most comprehensive microarray available to date for examining the functional capabilities of microbial communities important to biogeochemistry, ecology, environmental sciences, and human health. The GeoChip 5 is highly specific, sensitive, and quantitative based on both computational and experimental assays. Use of the array on a contaminated groundwater sample provided novel insights on the impacts of environmental contaminants on groundwater microbial communities.Zhou ShiHuaqun YinJoy D. Van NostrandJames W. VoordeckersQichao TuYe DengMengting YuanAifen ZhouPing ZhangNaijia XiaoDaliang NingZhili HeLiyou WuJizhong ZhouAmerican Society for Microbiologyarticlefunctional gene arraymicroarraysmicrobial communitiesMicrobiologyQR1-502ENmSystems, Vol 4, Iss 4 (2019)
institution DOAJ
collection DOAJ
language EN
topic functional gene array
microarrays
microbial communities
Microbiology
QR1-502
spellingShingle functional gene array
microarrays
microbial communities
Microbiology
QR1-502
Zhou Shi
Huaqun Yin
Joy D. Van Nostrand
James W. Voordeckers
Qichao Tu
Ye Deng
Mengting Yuan
Aifen Zhou
Ping Zhang
Naijia Xiao
Daliang Ning
Zhili He
Liyou Wu
Jizhong Zhou
Functional Gene Array-Based Ultrasensitive and Quantitative Detection of Microbial Populations in Complex Communities
description ABSTRACT While functional gene arrays (FGAs) have greatly expanded our understanding of complex microbial systems, specificity, sensitivity, and quantitation challenges remain. We developed a new generation of FGA, GeoChip 5.0, using the Agilent platform. Two formats were created, a smaller format (GeoChip 5.0S), primarily covering carbon-, nitrogen-, sulfur-, and phosphorus-cycling genes and others providing ecological services, and a larger format (GeoChip 5.0M) containing the functional categories involved in biogeochemical cycling of C, N, S, and P and various metals, stress response, microbial defense, electron transport, plant growth promotion, virulence, gyrB, and fungus-, protozoan-, and virus-specific genes. GeoChip 5.0M contains 161,961 oligonucleotide probes covering >365,000 genes of 1,447 gene families from broad, functionally divergent taxonomic groups, including bacteria (2,721 genera), archaea (101 genera), fungi (297 genera), protists (219 genera), and viruses (167 genera), mainly phages. Computational and experimental evaluation indicated that designed probes were highly specific and could detect as little as 0.05 ng of pure culture DNAs within a background of 1 μg community DNA (equivalent to 0.005% of the population). Additionally, strong quantitative linear relationships were observed between signal intensity and amount of pure genomic (∼99% of probes detected; r > 0.9) or soil (∼97%; r > 0.9) DNAs. Application of the GeoChip to a contaminated groundwater microbial community indicated that environmental contaminants (primarily heavy metals) had significant impacts on the biodiversity of the communities. This is the most comprehensive FGA to date, capable of directly linking microbial genes/populations to ecosystem functions. IMPORTANCE The rapid development of metagenomic technologies, including microarrays, over the past decade has greatly expanded our understanding of complex microbial systems. However, because of the ever-expanding number of novel microbial sequences discovered each year, developing a microarray that is representative of real microbial communities, is specific and sensitive, and provides quantitative information remains a challenge. The newly developed GeoChip 5.0 is the most comprehensive microarray available to date for examining the functional capabilities of microbial communities important to biogeochemistry, ecology, environmental sciences, and human health. The GeoChip 5 is highly specific, sensitive, and quantitative based on both computational and experimental assays. Use of the array on a contaminated groundwater sample provided novel insights on the impacts of environmental contaminants on groundwater microbial communities.
format article
author Zhou Shi
Huaqun Yin
Joy D. Van Nostrand
James W. Voordeckers
Qichao Tu
Ye Deng
Mengting Yuan
Aifen Zhou
Ping Zhang
Naijia Xiao
Daliang Ning
Zhili He
Liyou Wu
Jizhong Zhou
author_facet Zhou Shi
Huaqun Yin
Joy D. Van Nostrand
James W. Voordeckers
Qichao Tu
Ye Deng
Mengting Yuan
Aifen Zhou
Ping Zhang
Naijia Xiao
Daliang Ning
Zhili He
Liyou Wu
Jizhong Zhou
author_sort Zhou Shi
title Functional Gene Array-Based Ultrasensitive and Quantitative Detection of Microbial Populations in Complex Communities
title_short Functional Gene Array-Based Ultrasensitive and Quantitative Detection of Microbial Populations in Complex Communities
title_full Functional Gene Array-Based Ultrasensitive and Quantitative Detection of Microbial Populations in Complex Communities
title_fullStr Functional Gene Array-Based Ultrasensitive and Quantitative Detection of Microbial Populations in Complex Communities
title_full_unstemmed Functional Gene Array-Based Ultrasensitive and Quantitative Detection of Microbial Populations in Complex Communities
title_sort functional gene array-based ultrasensitive and quantitative detection of microbial populations in complex communities
publisher American Society for Microbiology
publishDate 2019
url https://doaj.org/article/b8695d1276da4134beceeb6dadaea7b6
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