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      Comparison of bacterial and archaeal communities in two fertilizer doses and soil compartments under continuous cultivation system of garlic

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          Abstract

          Soil microbial communities are affected by interactions between agricultural management (e.g., fertilizer) and soil compartment, but few studies have considered combinations of these factors. We compared the microbial abundance, diversity and community structure in two fertilizer dose (high vs. low NPK) and soil compartment (rhizosphere vs. bulk soils) under 6-year fertilization regimes in a continuous garlic cropping system in China. The soil contents of NO 3 and available K were significantly higher in bulk soil in the high-NPK. The 16S rRNA gene-based bacterial and archaeal abundances were positively affected by both the fertilizer dose and soil compartment, and were higher in the high-NPK fertilization and rhizosphere samples. High-NPK fertilization increased the Shannon index and decreased bacterial and archaeal richness, whereas the evenness was marginally positively affected by both the fertilizer dose and soil compartment. Soil compartment exerted a greater effect on the bacterial and archaeal community structure than did the fertilization dose, as demonstrated by both the nonmetric multidimensional scaling and redundancy analysis results. We found that rhizosphere effects significantly distinguished 12 dominant classes of bacterial and archaeal communities, whereas the fertilizer dose significantly identified four dominant classes. In particular, a Linear Effect Size analysis showed that some taxa, including Alphaproteobacteria, Rhizobiales, Xanthomonadaceae and Flavobacterium, were enriched in the garlic rhizosphere of the high-NPK fertilizer samples. Overall, the fertilizer dose interacted with soil compartment to shape the bacterial and archaeal community composition, abundance, and biodiversity in the garlic rhizosphere. These results provide an important basis for further understanding adaptive garlic-microbe feedback, reframing roots as a significant moderating influence in agricultural management and shaping the microbial community.

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          QIIME allows analysis of high-throughput community sequencing data.

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            Metagenomic biomarker discovery and explanation

            This study describes and validates a new method for metagenomic biomarker discovery by way of class comparison, tests of biological consistency and effect size estimation. This addresses the challenge of finding organisms, genes, or pathways that consistently explain the differences between two or more microbial communities, which is a central problem to the study of metagenomics. We extensively validate our method on several microbiomes and a convenient online interface for the method is provided at http://huttenhower.sph.harvard.edu/lefse/.
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              UPARSE: highly accurate OTU sequences from microbial amplicon reads.

              Amplified marker-gene sequences can be used to understand microbial community structure, but they suffer from a high level of sequencing and amplification artifacts. The UPARSE pipeline reports operational taxonomic unit (OTU) sequences with ≤1% incorrect bases in artificial microbial community tests, compared with >3% incorrect bases commonly reported by other methods. The improved accuracy results in far fewer OTUs, consistently closer to the expected number of species in a community.
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                Author and article information

                Contributors
                Role: Writing – review & editing
                Role: ResourcesRole: Software
                Role: InvestigationRole: Methodology
                Role: MethodologyRole: Software
                Role: Investigation
                Role: Resources
                Role: Resources
                Role: InvestigationRole: Methodology
                Role: Formal analysisRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                14 May 2021
                2021
                : 16
                : 5
                : e0250571
                Affiliations
                [1 ] School of Life Sciences, Qufu Normal University, Jining, PR China
                [2 ] College of Biological and Environmental Engineering, Binzhou University, Binzhou, PR China
                [3 ] South China Sea Resource Exploitation and Protection Collaborative Innovation Center (SCS-REPIC) / School of Marine Sciences, Sun Yat-Sen University, Guangzhou, China
                [4 ] Key Laboratory of Marine Genetic Resources, Ministry of Natural Resources of the PR China, Third Institute of Oceanography, Xiamen, China
                [5 ] Eco-environmental Protection Research Institute, Shanghai Academy of Agricultural Sciences, Shanghai, PR China
                [6 ] Shandong Engineering and Technology Research Center for Garlic, Jining, PR China
                Graduate University of Advanced Technology, Kerman Iran, ISLAMIC REPUBLIC OF IRAN
                Author notes

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

                Article
                PONE-D-20-21069
                10.1371/journal.pone.0250571
                8121308
                33989289
                90cf25a9-900f-4721-8bd2-b43bf0760c2b
                © 2021 Zhou et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 7 July 2020
                : 12 April 2021
                Page count
                Figures: 6, Tables: 5, Pages: 18
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100014717, National Outstanding Youth Science Fund Project of National Natural Science Foundation of China;
                Award ID: 41807053
                Award Recipient :
                Funded by: the Young Talents Invitation Program of Shandong Provincial Colleges and Universities
                Award ID: No.2019-6-1
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 31672255
                Award Recipient :
                Funded by: the Key Research and Development Project of Shandong Province (Public Welfare Science and Technology Research)
                Award ID: (2019GNC106092)
                Award Recipient :
                This work was supported by the National Natural Science Foundation of China in the form of a grant awarded to JZ (No.41807053), the Young Talents Invitation Program of Shandong Provincial Colleges and Universities in the form of a grant awarded to JZ (No.2019-6-1), the National Natural Science Foundation of China in the form of a grant awarded to FS (No. 31672255) and the Key Research and Development Project of Shandong Province (Public Welfare Science and Technology Research) in the form of a grant awarded to LM (2019GNC106092).
                Categories
                Research Article
                Biology and Life Sciences
                Agriculture
                Agrochemicals
                Fertilizers
                Biology and Life Sciences
                Organisms
                Eukaryota
                Plants
                Garlic
                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
                Biology and Life Sciences
                Agriculture
                Agricultural Soil Science
                Earth Sciences
                Soil Science
                Agricultural Soil Science
                Biology and Life Sciences
                Organisms
                Bacteria
                Biology and life sciences
                Biochemistry
                Nucleic acids
                RNA
                Non-coding RNA
                Ribosomal RNA
                Biology and life sciences
                Biochemistry
                Ribosomes
                Ribosomal RNA
                Biology and life sciences
                Cell biology
                Cellular structures and organelles
                Ribosomes
                Ribosomal RNA
                Biology and Life Sciences
                Ecology
                Community Ecology
                Community Structure
                Ecology and Environmental Sciences
                Ecology
                Community Ecology
                Community Structure
                Biology and Life Sciences
                Ecology
                Ecological Metrics
                Species Diversity
                Shannon Index
                Ecology and Environmental Sciences
                Ecology
                Ecological Metrics
                Species Diversity
                Shannon Index
                Custom metadata
                All relevant data are within the paper and its Supporting Information files.

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                Uncategorized

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