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Title: Microbial diversity in an intensively managed landscape is structured by landscape connectivity

Abstract

Intensively managed land increases the rate of nutrient and particle transport within a basin, but the impact of these changes on microbial community assembly patterns at the basin scale is not yet understood. The objective of this study was to investigate how landscape connectivity and dispersal impacts microbial diversity in an agricultural-dominated watershed. We characterized soil, sediment and water microbial communities along the Upper Sangamon River basin in Illinois-a 3600 km 2 watershed strongly influenced by human activity, especially landscape modification and extensive fertilization for agriculture. We employed statistical and network analyses to reveal the microbial community structure and interactions in the critical zone (water, soil and sediment media). Using a Bayesian source tracking approach, we predicted microbial community connectivity within and between the environments. We identified strong connectivity within environments (up to 85.4 ± 13.3% of sequences in downstream water samples sourced from upstream samples, and 44.7 ± 26.6% in soil and sediment samples), but negligible connectivity across environments, which indicates that microbial dispersal was successful within but not between environments. Species sorting based on sample media type and environmental parameters was the dominant driver of community dissimilarity. Lastly, we constructed operational taxonomic unit association networks for each environmentmore » and identified a number of co-occurrence relationships that were shared between habitats, suggesting that these are likely to be ecologically significant.« less

Authors:
 [1];  [1];  [2];  [1];  [2];  [3];  [1];  [1];  [3];  [4];  [2];  [1];  [1]
  1. Northwestern Univ., Evanston, IL (United States)
  2. Argonne National Lab. (ANL), Lemont, IL (United States); Univ. of Chicago, Chicago, IL (United States)
  3. Univ. of Illinois at Urbana-Champaign, Champaign, IL (United States)
  4. Loyola Univ. Chicago, Chicago, IL (United States)
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
Argonne National Laboratory; USDOE
OSTI Identifier:
1474145
Grant/Contract Number:  
[AC02-06CH11357]
Resource Type:
Accepted Manuscript
Journal Name:
FEMS Microbiology Ecology (Online)
Additional Journal Information:
[Journal Name: FEMS Microbiology Ecology (Online); Journal Volume: 93; Journal Issue: 10]; Journal ID: ISSN 1574-6941
Publisher:
Federation of European Microbiological Societies
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES; community assembly; dispersal; land use; landscape connectivity

Citation Formats

Griffin, James S., Lu, Nanxi, Sangwan, Naseer, Li, Angang, Dsouza, Melissa, Stumpf, Andrew J., Sevilla, Tiffany, Culotti, Alessandro, Keefer, Laura L., Kelly, John J., Gilbert, Jack A., Wells, George F., and Packman, Aaron I. Microbial diversity in an intensively managed landscape is structured by landscape connectivity. United States: N. p., 2017. Web. doi:10.1093/femsec/fix120.
Griffin, James S., Lu, Nanxi, Sangwan, Naseer, Li, Angang, Dsouza, Melissa, Stumpf, Andrew J., Sevilla, Tiffany, Culotti, Alessandro, Keefer, Laura L., Kelly, John J., Gilbert, Jack A., Wells, George F., & Packman, Aaron I. Microbial diversity in an intensively managed landscape is structured by landscape connectivity. United States. doi:10.1093/femsec/fix120.
Griffin, James S., Lu, Nanxi, Sangwan, Naseer, Li, Angang, Dsouza, Melissa, Stumpf, Andrew J., Sevilla, Tiffany, Culotti, Alessandro, Keefer, Laura L., Kelly, John J., Gilbert, Jack A., Wells, George F., and Packman, Aaron I. Mon . "Microbial diversity in an intensively managed landscape is structured by landscape connectivity". United States. doi:10.1093/femsec/fix120. https://www.osti.gov/servlets/purl/1474145.
@article{osti_1474145,
title = {Microbial diversity in an intensively managed landscape is structured by landscape connectivity},
author = {Griffin, James S. and Lu, Nanxi and Sangwan, Naseer and Li, Angang and Dsouza, Melissa and Stumpf, Andrew J. and Sevilla, Tiffany and Culotti, Alessandro and Keefer, Laura L. and Kelly, John J. and Gilbert, Jack A. and Wells, George F. and Packman, Aaron I.},
abstractNote = {Intensively managed land increases the rate of nutrient and particle transport within a basin, but the impact of these changes on microbial community assembly patterns at the basin scale is not yet understood. The objective of this study was to investigate how landscape connectivity and dispersal impacts microbial diversity in an agricultural-dominated watershed. We characterized soil, sediment and water microbial communities along the Upper Sangamon River basin in Illinois-a 3600 km2 watershed strongly influenced by human activity, especially landscape modification and extensive fertilization for agriculture. We employed statistical and network analyses to reveal the microbial community structure and interactions in the critical zone (water, soil and sediment media). Using a Bayesian source tracking approach, we predicted microbial community connectivity within and between the environments. We identified strong connectivity within environments (up to 85.4 ± 13.3% of sequences in downstream water samples sourced from upstream samples, and 44.7 ± 26.6% in soil and sediment samples), but negligible connectivity across environments, which indicates that microbial dispersal was successful within but not between environments. Species sorting based on sample media type and environmental parameters was the dominant driver of community dissimilarity. Lastly, we constructed operational taxonomic unit association networks for each environment and identified a number of co-occurrence relationships that were shared between habitats, suggesting that these are likely to be ecologically significant.},
doi = {10.1093/femsec/fix120},
journal = {FEMS Microbiology Ecology (Online)},
number = [10],
volume = [93],
place = {United States},
year = {2017},
month = {9}
}

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