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      Bacterial and archaeal spatial distribution and its environmental drivers in an extremely haloalkaline soil at the landscape scale

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          Abstract

          Background

          A great number of studies have shown that the distribution of microorganisms in the soil is not random, but that their abundance changes along environmental gradients (spatial patterns). The present study examined the spatial variability of the physicochemical characteristics of an extreme alkaline saline soil and how they controlled the archaeal and bacterial communities so as to determine the main spatial community drivers.

          Methods

          The archaeal and bacterial community structure, and soil characteristics were determined at 13 points along a 211 m transect in the former lake Texcoco. Geostatistical techniques were used to describe spatial patterns of the microbial community and soil characteristics and determine soil properties that defined the prokaryotic community structure.

          Results

          A high variability in electrolytic conductivity (EC) and water content (WC) was found. Euryarchaeota dominated Archaea, except when the EC was low. Proteobacteria, Bacteroidetes and Actinobacteria were the dominant bacterial phyla independent of large variations in certain soil characteristics. Multivariate analysis showed that soil WC affected the archaeal community structure and a geostatistical analysis found that variation in the relative abundance of Euryarchaeota was controlled by EC. The bacterial alpha diversity was less controlled by soil characteristics at the scale of this study than the archaeal alpha diversity.

          Discussion

          Results indicated that WC and EC played a major role in driving the microbial communities distribution and scale and sampling strategies were important to define spatial patterns.

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          Microbial biogeography: putting microorganisms on the map.

          We review the biogeography of microorganisms in light of the biogeography of macroorganisms. A large body of research supports the idea that free-living microbial taxa exhibit biogeographic patterns. Current evidence confirms that, as proposed by the Baas-Becking hypothesis, 'the environment selects' and is, in part, responsible for spatial variation in microbial diversity. However, recent studies also dispute the idea that 'everything is everywhere'. We also consider how the processes that generate and maintain biogeographic patterns in macroorganisms could operate in the microbial world.
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            Chimeric 16S rRNA sequence formation and detection in Sanger and 454-pyrosequenced PCR amplicons.

            Bacterial diversity among environmental samples is commonly assessed with PCR-amplified 16S rRNA gene (16S) sequences. Perceived diversity, however, can be influenced by sample preparation, primer selection, and formation of chimeric 16S amplification products. Chimeras are hybrid products between multiple parent sequences that can be falsely interpreted as novel organisms, thus inflating apparent diversity. We developed a new chimera detection tool called Chimera Slayer (CS). CS detects chimeras with greater sensitivity than previous methods, performs well on short sequences such as those produced by the 454 Life Sciences (Roche) Genome Sequencer, and can scale to large data sets. By benchmarking CS performance against sequences derived from a controlled DNA mixture of known organisms and a simulated chimera set, we provide insights into the factors that affect chimera formation such as sequence abundance, the extent of similarity between 16S genes, and PCR conditions. Chimeras were found to reproducibly form among independent amplifications and contributed to false perceptions of sample diversity and the false identification of novel taxa, with less-abundant species exhibiting chimera rates exceeding 70%. Shotgun metagenomic sequences of our mock community appear to be devoid of 16S chimeras, supporting a role for shotgun metagenomics in validating novel organisms discovered in targeted sequence surveys.
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              Field-Scale Variability of Soil Properties in Central Iowa Soils

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                Author and article information

                Contributors
                Journal
                PeerJ
                PeerJ
                PeerJ
                PeerJ
                PeerJ
                PeerJ Inc. (San Diego, USA )
                2167-8359
                18 June 2019
                2019
                : 7
                : e6127
                Affiliations
                [1 ]Laboratory of Soil Ecology, Cinvestav , Mexico City, Mexico
                [2 ]Laboratory of Biological Variation and Evolution, Department of Zoology, Escuela Nacional de Ciencias Biológicas, Instituto Politecnico Nacional , Mexico City, Mexico
                [3 ]Centro Tlaxcala de Biología de la Conducta, Universidad Autónoma de Tlaxcala , Tlaxcala, Tlaxcala, Mexico
                [4 ]Cátedras Conacyt, Universidad Autónoma de Tlaxcala , Tlaxcala, Tlaxcala, Mexico
                Author information
                http://orcid.org/0000-0001-5465-0146
                Article
                6127
                10.7717/peerj.6127
                6587938
                1c04e02d-bfa6-4513-8472-fc0c0db7e9fd
                © 2019 Martínez-Olivas et al.

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.

                History
                : 5 February 2018
                : 17 November 2018
                Funding
                Funded by: Centro de Investigación y de Estudios Avanzados
                Funded by: Apoyo Especial para Fortalecimiento de Doctorado: PNPC 2013, 2014 and project Infraestructura
                Award ID: 205945
                Funded by: Consejo Nacional de Ciencia y Tecnología
                Funded by: Martha Adriana Martínez-Olivas
                Award ID: 230274
                Funded by: CONACyT
                This research was funded by ‘Centro de Investigación y de Estudios Avanzados’ (Cinvestav, Mexico), and ‘Apoyo Especial para Fortalecimiento de Doctorado PNPC 2013, 2014’ and project ‘Infraestructura 205945’ from ‘Consejo Nacional de Ciencia y Tecnología’ (CONACyT, Mexico). Martha Adriana Martínez-Olivas (230274) and Carmine Fusaro received a doctoral grant from CONACyT. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Biodiversity
                Ecology
                Soil Science
                Spatial and Geographic Information Science

                soil maps,cross validation,soil properties,biogeography,spatial patterns,prediction,geostatistics,ordinary kriging

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