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...
Guardado en:
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2017
|
Materias: | |
Acceso en línea: | https://doaj.org/article/156292a579b74e1ba7e5c6f3014eaa80 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:156292a579b74e1ba7e5c6f3014eaa80 |
---|---|
record_format |
dspace |
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 |
work_keys_str_mv |
AT zhaojingzhang soilbacterialquantificationapproachescouplingwithrelativeabundancesreflectingthechangesoftaxa AT yuanyuanqu soilbacterialquantificationapproachescouplingwithrelativeabundancesreflectingthechangesoftaxa AT shuzhenli soilbacterialquantificationapproachescouplingwithrelativeabundancesreflectingthechangesoftaxa AT kaifeng soilbacterialquantificationapproachescouplingwithrelativeabundancesreflectingthechangesoftaxa AT shangwang soilbacterialquantificationapproachescouplingwithrelativeabundancesreflectingthechangesoftaxa AT weiweicai soilbacterialquantificationapproachescouplingwithrelativeabundancesreflectingthechangesoftaxa AT yutingliang soilbacterialquantificationapproachescouplingwithrelativeabundancesreflectingthechangesoftaxa AT huili soilbacterialquantificationapproachescouplingwithrelativeabundancesreflectingthechangesoftaxa AT meiyingxu soilbacterialquantificationapproachescouplingwithrelativeabundancesreflectingthechangesoftaxa AT huaqunyin soilbacterialquantificationapproachescouplingwithrelativeabundancesreflectingthechangesoftaxa AT yedeng soilbacterialquantificationapproachescouplingwithrelativeabundancesreflectingthechangesoftaxa |
_version_ |
1718385071290843136 |