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      Long-term nutrient inputs shift soil microbial functional profiles of phosphorus cycling in diverse agroecosystems

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          Abstract

          Microorganisms play an important role in soil phosphorus (P) cycling and regulation of P availability in agroecosystems. However, the responses of the functional and ecological traits of P-transformation microorganisms to long-term nutrient inputs are largely unknown. This study used metagenomics to investigate changes in the relative abundance of microbial P-transformation genes at four long-term experimental sites that received various inputs of N and P nutrients (up to 39 years). Long-term P input increased microbial P immobilization by decreasing the relative abundance of the P-starvation response gene ( phoR) and increasing that of the low-affinity inorganic phosphate transporter gene ( pit). This contrasts with previous findings that low-P conditions facilitate P immobilization in culturable microorganisms in short-term studies. In comparison, long-term nitrogen (N) input significantly decreased soil pH, and consequently decreased the relative abundances of total microbial P-solubilizing genes and the abundances of Actinobacteria, Gammaproteobacteria, and Alphaproteobacteria containing genes coding for alkaline phosphatase, and weakened the connection of relevant key genes. This challenges the concept that microbial P-solubilization capacity is mainly regulated by N:P stoichiometry. It is concluded that long-term N inputs decreased microbial P-solubilizing and mineralizing capacity while P inputs favored microbial immobilization via altering the microbial functional profiles, providing a novel insight into the regulation of P cycling in sustainable agroecosystems from a microbial perspective.

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          Metagenomics: application of genomics to uncultured microorganisms.

          Metagenomics (also referred to as environmental and community genomics) is the genomic analysis of microorganisms by direct extraction and cloning of DNA from an assemblage of microorganisms. The development of metagenomics stemmed from the ineluctable evidence that as-yet-uncultured microorganisms represent the vast majority of organisms in most environments on earth. This evidence was derived from analyses of 16S rRNA gene sequences amplified directly from the environment, an approach that avoided the bias imposed by culturing and led to the discovery of vast new lineages of microbial life. Although the portrait of the microbial world was revolutionized by analysis of 16S rRNA genes, such studies yielded only a phylogenetic description of community membership, providing little insight into the genetics, physiology, and biochemistry of the members. Metagenomics provides a second tier of technical innovation that facilitates study of the physiology and ecology of environmental microorganisms. Novel genes and gene products discovered through metagenomics include the first bacteriorhodopsin of bacterial origin; novel small molecules with antimicrobial activity; and new members of families of known proteins, such as an Na(+)(Li(+))/H(+) antiporter, RecA, DNA polymerase, and antibiotic resistance determinants. Reassembly of multiple genomes has provided insight into energy and nutrient cycling within the community, genome structure, gene function, population genetics and microheterogeneity, and lateral gene transfer among members of an uncultured community. The application of metagenomic sequence information will facilitate the design of better culturing strategies to link genomic analysis with pure culture studies.
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            Comparative metagenomic, phylogenetic and physiological analyses of soil microbial communities across nitrogen gradients

            Terrestrial ecosystems are receiving elevated inputs of nitrogen (N) from anthropogenic sources and understanding how these increases in N availability affect soil microbial communities is critical for predicting the associated effects on belowground ecosystems. We used a suite of approaches to analyze the structure and functional characteristics of soil microbial communities from replicated plots in two long-term N fertilization experiments located in contrasting systems. Pyrosequencing-based analyses of 16S rRNA genes revealed no significant effects of N fertilization on bacterial diversity, but significant effects on community composition at both sites; copiotrophic taxa (including members of the Proteobacteria and Bacteroidetes phyla) typically increased in relative abundance in the high N plots, with oligotrophic taxa (mainly Acidobacteria) exhibiting the opposite pattern. Consistent with the phylogenetic shifts under N fertilization, shotgun metagenomic sequencing revealed increases in the relative abundances of genes associated with DNA/RNA replication, electron transport and protein metabolism, increases that could be resolved even with the shallow shotgun metagenomic sequencing conducted here (average of 75 000 reads per sample). We also observed shifts in the catabolic capabilities of the communities across the N gradients that were significantly correlated with the phylogenetic and metagenomic responses, indicating possible linkages between the structure and functioning of soil microbial communities. Overall, our results suggest that N fertilization may, directly or indirectly, induce a shift in the predominant microbial life-history strategies, favoring a more active, copiotrophic microbial community, a pattern that parallels the often observed replacement of K-selected with r-selected plant species with elevated N.
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              Changes in Inorganic and Organic Soil Phosphorus Fractions Induced by Cultivation Practices and by Laboratory Incubations1

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                Author and article information

                Contributors
                +86-571-8898-2069 , jmxu@zju.edu.cn
                Journal
                ISME J
                ISME J
                The ISME Journal
                Nature Publishing Group UK (London )
                1751-7362
                1751-7370
                11 December 2019
                11 December 2019
                March 2020
                : 14
                : 3
                : 757-770
                Affiliations
                [1 ]ISNI 0000 0004 1759 700X, GRID grid.13402.34, Institute of Soil and Water Resources and Environmental Science, College of Environmental and Resource Sciences, , Zhejiang University, ; Hangzhou, 310058 China
                [2 ]ISNI 0000 0004 1759 700X, GRID grid.13402.34, Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment, , Zhejiang University, ; Hangzhou, 310058 China
                [3 ]ISNI 0000 0004 1759 700X, GRID grid.13402.34, The Rural Development Academy, , Zhejiang University, ; Hangzhou, 310058 China
                [4 ]ISNI 0000 0001 2218 3491, GRID grid.451303.0, Biological Sciences Division, , Pacific Northwest National Laboratory, ; Richland, WA 99354 USA
                [5 ]ISNI 0000 0004 0437 5432, GRID grid.1022.1, Australian Rivers Institute, School of Environment and Sciences, , Griffith University, ; Nathan Campus, Brisbane, QLD 4111 Australia
                [6 ]ISNI 0000 0000 9886 8131, GRID grid.412557.0, College of Land and Environment, , Shenyang Agricultural University, ; No. 120 Dongling Road, Shenhe District, Shenyang, 110866 Liaoning China
                [7 ]ISNI 0000 0001 0561 6611, GRID grid.135769.f, Institute of Agricultural Resources and Environment, , Guangdong Academy of Agricultural Sciences, ; Guangzhou, 510640 Guangdong China
                [8 ]GRID grid.452609.c, Soil Fertilizer and Environment Resource, , Heilongjiang Academy of Agricultural Sciences, ; Haerbin, 150086 Heilongjiang China
                [9 ]Jiangxi Institue of Red Soil, Jiangxi Key Laboratory of Red Soil Arable Land Conservation, Jinxian, 331717 China
                [10 ]ISNI 0000 0001 2342 0938, GRID grid.1018.8, Department of Animal, Plant and Soil Sciences, Centre for AgriBioscience, , La Trobe University, ; Bundoora, VIC 3086 Australia
                Author information
                http://orcid.org/0000-0002-2121-1822
                http://orcid.org/0000-0001-6377-4001
                Article
                567
                10.1038/s41396-019-0567-9
                7031380
                31827246
                ba43fcb2-5d89-4b7e-8044-25f523f1baf3
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 14 May 2019
                : 20 November 2019
                : 28 November 2019
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100001809, National Natural Science Foundation of China (National Science Foundation of China);
                Award ID: 41807033
                Award ID: 41807033
                Award Recipient :
                Categories
                Article
                Custom metadata
                © International Society for Microbial Ecology 2020

                Microbiology & Virology
                metagenomics,microbial ecology,biogeochemistry,functional genomics
                Microbiology & Virology
                metagenomics, microbial ecology, biogeochemistry, functional genomics

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