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. 2019 Jan 24;9:605. doi: 10.1038/s41598-018-36867-2

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© 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/.

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Multivariate analyses of the soil physicochemical properties (A–C) and bacterial communities (D–F) for each land use: arable (A,D), forest (B,E), grassland (C,F). The principal component analyses generated from the physicochemical characteristics (A–C) or relative abundance of all the detected taxa (D–F) illustrate the diversity of soil properties and bacterial communities according to the three land uses tested. Each symbol represents a sampling site.