Soil bacterial quantification approaches coupling with relative abundances reflecting the changes of taxa

Abstract Understanding the abundance change of certain bacterial taxa is quite important for the study of soil microbiology. However, the observed differences of relative abundances by high-throughput techniques may not accurately reflect those of the actual taxon abundances. This study investigated...

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Autores principales: Zhaojing Zhang, Yuanyuan Qu, Shuzhen Li, Kai Feng, Shang Wang, Weiwei Cai, Yuting Liang, Hui Li, Meiying Xu, Huaqun Yin, Ye Deng
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Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/156292a579b74e1ba7e5c6f3014eaa80
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spelling oai:doaj.org-article:156292a579b74e1ba7e5c6f3014eaa802021-12-02T16:06:08ZSoil bacterial quantification approaches coupling with relative abundances reflecting the changes of taxa10.1038/s41598-017-05260-w2045-2322https://doaj.org/article/156292a579b74e1ba7e5c6f3014eaa802017-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-05260-whttps://doaj.org/toc/2045-2322Abstract Understanding the abundance change of certain bacterial taxa is quite important for the study of soil microbiology. However, the observed differences of relative abundances by high-throughput techniques may not accurately reflect those of the actual taxon abundances. This study investigated whether soil microbial abundances coupling with microbial quantities can be more informative in describing the microbial population distribution under different locations. We analyzed relative abundances of the major species in soil microbial communities from Beijing and Tibet grasslands by using 16 S rRNA high-throughput sequencing technique, and quantified the absolute bacterial cell numbers directly or indirectly by multiple culture-independent measurements, including adenosine tri-phosphate (ATP), flow cytometry (FCM), quantitative real-time PCR (qPCR), phospholipid fatty acids (PLFA) and microbial biomass Carbon (MBC). By comparison of the relative abundance and the estimated absolute abundances (EAA) of the major components in soil microbial communities, several dominant phyla, including Actinobacteria, Bacteroidetes, Verrucomicrobia, Chloroflexi, Gemmatimonates and Planctomycetes, showed significantly different trends. These results indicated that the change in EAA might be more informative in describing the dynamics of a population in a community. Further studies of soil microbes should combine the quantification and relative abundances of the microbial communities for the comparisons among various locations.Zhaojing ZhangYuanyuan QuShuzhen LiKai FengShang WangWeiwei CaiYuting LiangHui LiMeiying XuHuaqun YinYe DengNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-11 (2017)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Zhaojing Zhang
Yuanyuan Qu
Shuzhen Li
Kai Feng
Shang Wang
Weiwei Cai
Yuting Liang
Hui Li
Meiying Xu
Huaqun Yin
Ye Deng
Soil bacterial quantification approaches coupling with relative abundances reflecting the changes of taxa
description Abstract Understanding the abundance change of certain bacterial taxa is quite important for the study of soil microbiology. However, the observed differences of relative abundances by high-throughput techniques may not accurately reflect those of the actual taxon abundances. This study investigated whether soil microbial abundances coupling with microbial quantities can be more informative in describing the microbial population distribution under different locations. We analyzed relative abundances of the major species in soil microbial communities from Beijing and Tibet grasslands by using 16 S rRNA high-throughput sequencing technique, and quantified the absolute bacterial cell numbers directly or indirectly by multiple culture-independent measurements, including adenosine tri-phosphate (ATP), flow cytometry (FCM), quantitative real-time PCR (qPCR), phospholipid fatty acids (PLFA) and microbial biomass Carbon (MBC). By comparison of the relative abundance and the estimated absolute abundances (EAA) of the major components in soil microbial communities, several dominant phyla, including Actinobacteria, Bacteroidetes, Verrucomicrobia, Chloroflexi, Gemmatimonates and Planctomycetes, showed significantly different trends. These results indicated that the change in EAA might be more informative in describing the dynamics of a population in a community. Further studies of soil microbes should combine the quantification and relative abundances of the microbial communities for the comparisons among various locations.
format article
author Zhaojing Zhang
Yuanyuan Qu
Shuzhen Li
Kai Feng
Shang Wang
Weiwei Cai
Yuting Liang
Hui Li
Meiying Xu
Huaqun Yin
Ye Deng
author_facet Zhaojing Zhang
Yuanyuan Qu
Shuzhen Li
Kai Feng
Shang Wang
Weiwei Cai
Yuting Liang
Hui Li
Meiying Xu
Huaqun Yin
Ye Deng
author_sort Zhaojing Zhang
title Soil bacterial quantification approaches coupling with relative abundances reflecting the changes of taxa
title_short Soil bacterial quantification approaches coupling with relative abundances reflecting the changes of taxa
title_full Soil bacterial quantification approaches coupling with relative abundances reflecting the changes of taxa
title_fullStr Soil bacterial quantification approaches coupling with relative abundances reflecting the changes of taxa
title_full_unstemmed Soil bacterial quantification approaches coupling with relative abundances reflecting the changes of taxa
title_sort soil bacterial quantification approaches coupling with relative abundances reflecting the changes of taxa
publisher Nature Portfolio
publishDate 2017
url https://doaj.org/article/156292a579b74e1ba7e5c6f3014eaa80
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