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    Assessing Microbial Community Patterns During Incipient Soil Formation From Basalt

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    Name:
    Sengupta_et_al-2019-Journal_of ...
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    Description:
    Final Published Version
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    Author
    Sengupta, Aditi
    Stegen, James C.
    Meira Neto, Antonio A.
    Wang, Yadi cc
    Neilson, Julia W.
    Chorover, Jon cc
    Troch, Peter A.
    Maier, Raina M.
    Affiliation
    Univ Arizona, Biosphere 2
    Univ Arizona, Dept Hydrol & Atmospher Sci
    Univ Arizona, Dept Soil Water & Environm Sci
    Issue Date
    2019-04-12
    Keywords
    terrestrial basalt
    incipient soil system
    bacterial/archaeal phylogenetic analysis
    scale and dimensions of variation
    
    Metadata
    Show full item record
    Publisher
    American Geophysical Union (AGU)
    Citation
    Sengupta, A., Stegen, J. C., Meira Neto, A. A., Wang, Y., Neilson, J. W., Tatarin, T., ... & Maier, R. M. (2019). Assessing microbial community patterns during incipient soil formation from basalt. Journal of Geophysical Research: Biogeosciences, 124(4), 941-958.
    Journal
    JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
    Rights
    Copyright © 2019. American Geophysical Union. All Rights Reserved.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    Microbial dynamics drive the biotic machinery of early soil evolution. However, integrated knowledge of microbial community establishment, functional associations, and community assembly processes in incipient soil is lacking. This study presents a novel approach of combining microbial phylogenetic profiling, functional predictions, and community assembly processes to analyze drivers of microbial community establishment in an emerging soil system. Rigorous submeter sampling of a basalt-soil lysimeter after 2 years of irrigation revealed that microbial community colonization patterns and associated soil parameters were depth dependent. Phylogenetic analysis of 16S rRNA gene sequences indicated the presence of diverse bacterial and archaeal phyla, with high relative abundance of Actinomyceles on the surface and a consistently high abundance of Proteobacteria (Alpha, Beta, Gamma, and Delta) at all depths. Despite depth-dependent variation in community diversity, predicted functional gene analysis suggested that microbial metabolisms did not differ with depth, thereby suggesting redundancy in functional potential throughout the system. Null modeling revealed that microbial community assembly patterns were predominantly governed by variable selection. The relative influence of variable selection decreased with depth, indicating unique and relatively harsh environmental conditions near the surface and more benign conditions with depth. Additionally, community composition near the center of the domain was influenced by high levels of dispersal, suggesting that spatial processes interact with deterministic selection imposed by the environment. These results suggest that for oligotrophic systems, there are major differences in the length scales of variation between vertical and horizontal dimensions with the vertical dimension dominating variation in physical, chemical, and biological features.
    Note
    6 month embargo; first published 28 March 2019.
    ISSN
    2169-8953
    DOI
    10.1029/2017jg004315
    Version
    Final published version
    Sponsors
    NSF [EAR-1344552, EAR-1340912, EAR-1417097]; Philecology Foundation of Fort Worth Texas; Water, Environmental, and Energy Solutions (WEES) initiative at the University of Arizona; office of Research, Discovery and Innovation's Accelerate for Success Grant at the University of Arizona; U.S. Department of Energy (DOE), Office of Biological and Environmental Research (BER), as part of Subsurface Biogeochemical Research Program's Scientific Focus Area (SFA) at Pacific Northwest National Laboratory (PNNL); DOE [DE-AC06-76RLO 1830]
    ae974a485f413a2113503eed53cd6c53
    10.1029/2017jg004315
    Scopus Count
    Collections
    UA Faculty Publications

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