Spatial heterogeneity of physicochemical properties explains differences in microbial composition in arid soils from Cuatro Cienegas, Mexico
Autor: | Luis E. Eguiarte, Valeria Souza, Silke Cram, Ana M. Noguez, Celeste Martínez-Piedragil, Felipe García-Oliva, Ana E. Escalante, Silvia Pajares |
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Jazyk: | angličtina |
Rok vydání: | 2016 |
Předmět: |
0301 basic medicine
Nutrient cycle Cuatro Cienegas Basin Soil test Physicochemical properties Soil Science lcsh:Medicine Microbiology General Biochemistry Genetics and Molecular Biology 03 medical and health sciences T-RFLPs Abiotic component Arid soils Ecology General Neuroscience lcsh:R Biological soil crusts Biodiversity 04 agricultural and veterinary sciences General Medicine Vegetation Arid Spatial heterogeneity 030104 developmental biology Soil water 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Environmental science Spatial variability General Agricultural and Biological Sciences |
Zdroj: | PeerJ, Vol 4, p e2459 (2016) PeerJ |
ISSN: | 2167-8359 |
Popis: | Arid ecosystems are characterized by high spatial heterogeneity, and the variation among vegetation patches is a clear example. Soil biotic and abiotic factors associated with these patches have also been well documented as highly heterogeneous in space. Given the low vegetation cover and little precipitation in arid ecosystems, soil microorganisms are the main drivers of nutrient cycling. Nonetheless, little is known about the spatial distribution of microorganisms and the relationship that their diversity holds with nutrients and other physicochemical gradients in arid soils. In this study, we evaluated the spatial variability of soil microbial diversity and chemical parameters (nutrients and ion content) at local scale (meters) occurring in a gypsum-based desert soil, to gain knowledge on what soil abiotic factors control the distribution of microbes in arid ecosystems. We analyzed 32 soil samples within a 64 m2 plot and: (a) characterized microbial diversity using T-RFLPs of the bacterial 16S rRNA gene, (b) determined soil chemical parameters, and (c) identified relationships between microbial diversity and chemical properties. Overall, we found a strong correlation between microbial composition heterogeneity and spatial variation of cations (Ca2, K+) and anions (HCO\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}${}_{3}^{-}$\end{document}3−, Cl−, SO\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}${}_{4}^{2-}$\end{document}42−) content in this small plot. Our results could be attributable to spatial differences of soil saline content, favoring the patchy emergence of salt and soil microbial communities. |
Databáze: | OpenAIRE |
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