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      Comparative analysis of bacterial community structure in the rhizosphere of maize by high-throughput pyrosequencing

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          Abstract

          In this study, we designed a microcosm experiment to explore the composition of the bacterial community in the rhizosphere of maize and bulk soil by sequencing the V3-V4 region of the 16S rRNA gene on the Illumina system. 978–1239 OTUs (cut off level of 3%) were found in rhizosphere and bulk soil samples. Rhizosphere shared features with the bulk soil, such as predominance of Acidobacteria, Proteobacteria, Actinobacteria, Bacteroidetes, Chloroflexi, Firmicutes, Gemmatimonadetes and TM7. At genus level, many of the dominant rhizosphere genera ( Chitinophaga, Nitrospira, Flavobacterium, etc.) displayed different patterns of temporal changes in the rhizosphere as opposed to the bulk soil, showing rhizosphere has more impact on soil microorganisms. Besides, we found that significant growth-related dynamic changes in bacterial community structure were mainly associated with phylum Bacteroidetes, Proteobacteria and Actinobacteria (mainly genera Burkholderia, Flavisolibacter and Pseudomonas), indicating that different growth stages affected the bacterial community composition in maize soil. Furthermore, some unique genera in especial Plant-Growth Promoting Rhizobacteria (PGPR) such as Nonomuraea, Thiobacillus and Bradyrhizobium etc., which were beneficial for the plant growth appeared to be more abundant in the rhizosphere than bulk soil, indicating that the selectivity of root to rhizosphere microbial is an important mechanism leading to the differences in the bacteria community structure between rhizosphere and bulk soil.

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          Most cited references16

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          Cross-biome metagenomic analyses of soil microbial communities and their functional attributes.

          For centuries ecologists have studied how the diversity and functional traits of plant and animal communities vary across biomes. In contrast, we have only just begun exploring similar questions for soil microbial communities despite soil microbes being the dominant engines of biogeochemical cycles and a major pool of living biomass in terrestrial ecosystems. We used metagenomic sequencing to compare the composition and functional attributes of 16 soil microbial communities collected from cold deserts, hot deserts, forests, grasslands, and tundra. Those communities found in plant-free cold desert soils typically had the lowest levels of functional diversity (diversity of protein-coding gene categories) and the lowest levels of phylogenetic and taxonomic diversity. Across all soils, functional beta diversity was strongly correlated with taxonomic and phylogenetic beta diversity; the desert microbial communities were clearly distinct from the nondesert communities regardless of the metric used. The desert communities had higher relative abundances of genes associated with osmoregulation and dormancy, but lower relative abundances of genes associated with nutrient cycling and the catabolism of plant-derived organic compounds. Antibiotic resistance genes were consistently threefold less abundant in the desert soils than in the nondesert soils, suggesting that abiotic conditions, not competitive interactions, are more important in shaping the desert microbial communities. As the most comprehensive survey of soil taxonomic, phylogenetic, and functional diversity to date, this study demonstrates that metagenomic approaches can be used to build a predictive understanding of how microbial diversity and function vary across terrestrial biomes.
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            454 Pyrosequencing analyses of forest soils reveal an unexpectedly high fungal diversity.

            * Soil fungi play a major role in ecological and biogeochemical processes in forests. Little is known, however, about the structure and richness of different fungal communities and the distribution of functional ecological groups (pathogens, saprobes and symbionts). * Here, we assessed the fungal diversity in six different forest soils using tag-encoded 454 pyrosequencing of the nuclear ribosomal internal transcribed spacer-1 (ITS-1). No less than 166 350 ITS reads were obtained from all samples. In each forest soil sample (4 g), approximately 30 000 reads were recovered, corresponding to around 1000 molecular operational taxonomic units. * Most operational taxonomic units (81%) belonged to the Dikarya subkingdom (Ascomycota and Basidiomycota). Richness, abundance and taxonomic analyses identified the Agaricomycetes as the dominant fungal class. The ITS-1 sequences (73%) analysed corresponded to only 26 taxa. The most abundant operational taxonomic units showed the highest sequence similarity to Ceratobasidium sp., Cryptococcus podzolicus, Lactarius sp. and Scleroderma sp. * This study validates the effectiveness of high-throughput 454 sequencing technology for the survey of soil fungal diversity. The large proportion of unidentified sequences, however, calls for curated sequence databases. The use of pyrosequencing on soil samples will accelerate the study of the spatiotemporal dynamics of fungal communities in forest ecosystems.
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              Differential Growth Responses of Soil Bacterial Taxa to Carbon Substrates of Varying Chemical Recalcitrance

              Soils are immensely diverse microbial habitats with thousands of co-existing bacterial, archaeal, and fungal species. Across broad spatial scales, factors such as pH and soil moisture appear to determine the diversity and structure of soil bacterial communities. Within any one site however, bacterial taxon diversity is high and factors maintaining this diversity are poorly resolved. Candidate factors include organic substrate availability and chemical recalcitrance, and given that they appear to structure bacterial communities at the phylum level, we examine whether these factors might structure bacterial communities at finer levels of taxonomic resolution. Analyzing 16S rRNA gene composition of nucleotide analog-labeled DNA by PhyloChip microarrays, we compare relative growth rates on organic substrates of increasing chemical recalcitrance of >2,200 bacterial taxa across 43 divisions/phyla. Taxa that increase in relative abundance with labile organic substrates (i.e., glycine, sucrose) are numerous (>500), phylogenetically clustered, and occur predominantly in two phyla (Proteobacteria and Actinobacteria) including orders Actinomycetales, Enterobacteriales, Burkholderiales, Rhodocyclales, Alteromonadales, and Pseudomonadales. Taxa increasing in relative abundance with more chemically recalcitrant substrates (i.e., cellulose, lignin, or tannin–protein) are fewer (168) but more phylogenetically dispersed, occurring across eight phyla and including Clostridiales, Sphingomonadalaes, Desulfovibrionales. Just over 6% of detected taxa, including many Burkholderiales increase in relative abundance with both labile and chemically recalcitrant substrates. Estimates of median rRNA copy number per genome of responding taxa demonstrate that these patterns are broadly consistent with bacterial growth strategies. Taken together, these data suggest that changes in availability of intrinsically labile substrates may result in predictable shifts in soil bacterial composition.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                25 May 2017
                2017
                : 12
                : 5
                : e0178425
                Affiliations
                [1 ]School of Life Science and Technology, China Pharmaceutical University, Nanjing, PR China
                [2 ]Nanjing Institute of Environmental Science, Ministry of Environmental Protection, Nanjing, China
                Nankai University, CHINA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                • Conceptualization: NW YY BY.

                • Data curation: YY.

                • Funding acquisition: NW BY.

                • Investigation: YY XG YZ.

                • Methodology: YY XG.

                • Project administration: YY BY.

                • Resources: NW BP.

                • Software: YY.

                • Supervision: NW BY.

                • Visualization: XG YZ.

                • Writing – original draft: YY.

                • Writing – review & editing: NW BY.

                Author information
                http://orcid.org/0000-0001-9617-0300
                Article
                PONE-D-17-00044
                10.1371/journal.pone.0178425
                5444823
                28542542
                583b162d-95f3-40ca-b036-aeb49471c202

                This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.

                History
                : 3 January 2017
                : 12 May 2017
                Page count
                Figures: 2, Tables: 4, Pages: 11
                Funding
                Funded by: Natural Science Foundation of China
                Award ID: No. 21507037
                Award Recipient :
                Funded by: Commonwealth and Environmental Protection Project granted by the MEP
                Award ID: No. 201309031
                Award Recipient :
                Funded by: Fundamental Research Funds for NIES in 2016 “Source Apportionment Research of antibiotics pollution in typical drinking water resource
                Award Recipient :
                This study was financially support by the Natural Science Foundation of China (No. 21507037), Commonwealth and Environmental Protection Project granted by the MEP (No. 201309031), as well as the Fundamental Research Funds for NIES in 2016 “Source Apportionment Research of antibiotics pollution in typical drinking water resource”. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Ecology
                Plant Ecology
                Plant-Environment Interactions
                Rhizosphere
                Ecology and Environmental Sciences
                Ecology
                Plant Ecology
                Plant-Environment Interactions
                Rhizosphere
                Biology and Life Sciences
                Plant Science
                Plant Ecology
                Plant-Environment Interactions
                Rhizosphere
                Research and Analysis Methods
                Experimental Organism Systems
                Model Organisms
                Maize
                Research and Analysis Methods
                Model Organisms
                Maize
                Biology and Life Sciences
                Organisms
                Plants
                Grasses
                Maize
                Research and Analysis Methods
                Experimental Organism Systems
                Plant and Algal Models
                Maize
                Biology and Life Sciences
                Microbiology
                Medical Microbiology
                Microbial Pathogens
                Bacterial Pathogens
                Medicine and Health Sciences
                Pathology and Laboratory Medicine
                Pathogens
                Microbial Pathogens
                Bacterial Pathogens
                Biology and Life Sciences
                Organisms
                Bacteria
                Biology and Life Sciences
                Organisms
                Bacteria
                Actinobacteria
                Biology and Life Sciences
                Plant Science
                Plant Physiology
                Nitrogen Fixation
                Biology and Life Sciences
                Organisms
                Bacteria
                Pseudomonas
                Biology and Life Sciences
                Developmental Biology
                Plant Growth and Development
                Biology and Life Sciences
                Plant Science
                Plant Growth and Development
                Custom metadata
                All relevant data are within the paper.

                Uncategorized
                Uncategorized

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