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

AbstractUnderstanding 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.
- Harbin Institute of Technology China (People's Republic of)
- Dalian Polytechnic University China (People's Republic of)
- Chinese Academy of Sciences China (People's Republic of)
- State Key Laboratory of Soil and Sustainable Agriculture China (People's Republic of)
- Dalian Polytechnic University China (People's Republic of)
China, 550, Science, Microbial Consortia, Article, Adenosine Triphosphate, Verrucomicrobia, RNA, Ribosomal, 16S, Biomass, Phospholipids, Soil Microbiology, Bacteroidetes, Q, Fatty Acids, R, High-Throughput Nucleotide Sequencing, Biodiversity, Chloroflexi, Grassland, Carbon, Actinobacteria, Planctomycetales, Medicine
China, 550, Science, Microbial Consortia, Article, Adenosine Triphosphate, Verrucomicrobia, RNA, Ribosomal, 16S, Biomass, Phospholipids, Soil Microbiology, Bacteroidetes, Q, Fatty Acids, R, High-Throughput Nucleotide Sequencing, Biodiversity, Chloroflexi, Grassland, Carbon, Actinobacteria, Planctomycetales, Medicine
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