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Crop rotational diversity increases disease suppressive capacity of soil microbiomes
Open accessAbstract
Microbiomes can aid in the protection of hosts from infection and disease, but the mechanisms underpinning these functions in complex environmental systems remain unresolved. Soils contain microbiomes that influence plant performance, including their susceptibility to disease. For example, some soil microorganisms produce antimicrobial compounds that suppress the growth of plant pathogens, which can provide benefits for sustainable agricultural management. Evidence shows that crop rotations increase soil fertility and tend to promote microbial diversity, and it has been hypothesized that crop rotations can enhance disease suppressive capacity, either through the influence of plant diversity impacting soil bacterial composition or through the increased abundance of disease suppressive microorganisms. In this study, we used a long‐term field experiment to test the effects of crop diversity through time (i.e., rotations) on soil microbial diversity and disease suppressive capacity. We sampled soil from seven treatments along a crop diversity gradient (from monoculture to five crop species rotation) and a spring fallow (non‐crop) treatment to examine crop diversity influence on soil microbiomes including bacteria that are capable of producing antifungal compounds. Crop diversity significantly influenced bacterial community composition, where the most diverse cropping systems with cover crops and fallow differed from bacterial communities in the 1–3 crop species diversity treatments. While soil bacterial diversity was about 4% lower in the most diverse crop rotation (corn–soybean–wheat + 2 cover crops) compared to monoculture corn, crop diversity increased disease suppressive functional group prnD gene abundance in the more diverse rotation by about 9% compared to monocultures. In addition, disease suppressive potential was significantly diminished in the (non‐crop) fallow treatment compared to the most diverse crop rotation treatments. The composition of the microbial community could be more important than diversity to disease suppressive function in our study. Identifying patterns in microbial diversity and ecosystem function relationships can provide insight into microbiome management, which will require manipulating soil nutrients and resources mediated through plant diversity.
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R: A Language and Environment for Statistical Computing
R Core Team (2025) · doi:10.32614/r.manuals · Cited by 352,181
Schloss, P. D., Westcott, S. L., Ryabin, T., Hall, J. R., Hartmann, M., Hollister, E. B., Lesniewski, R. A., Oakley, B. B., Parks, D. H., Robinson, C. J., et al. (2009) · Applied and Environmental Microbiology · doi:10.1128/aem.01541-09 · Cited by 19,549
UCHIME improves sensitivity and speed of chimera detection
Edgar, R. C., Haas, B. J., Clemente, J. C., Quince, C., & Knight, R. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr381 · Cited by 15,114
Needleman, S. B., & Wunsch, C. D. (1970) · Journal of Molecular Biology · doi:10.1016/0022-2836(70)90057-4 · Cited by 11,288
Ultra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platforms
Caporaso, J. G., Lauber, C. L., Walters, W. A., Berg-Lyons, D., Huntley, J., Fierer, N., Owens, S. M., Betley, J., Fraser, L., Bauer, M., et al. (2012) · The ISME Journal · doi:10.1038/ismej.2012.8 · Cited by 8,839
Agricultural sustainability and intensive production practices
Tilman, D., Cassman, K. G., Matson, P. A., Naylor, R., & Polasky, S. (2002) · Nature · doi:10.1038/nature01014 · Cited by 7,957
Global food demand and the sustainable intensification of agriculture
Tilman, D., Balzer, C., Hill, J., & Befort, B. L. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1116437108 · Cited by 7,692
SPECIES ASSEMBLAGES AND INDICATOR SPECIES:THE NEED FOR A FLEXIBLE ASYMMETRICAL APPROACH
Dufrêne, M., & Legendre, P. (1997) · Ecological Monographs · doi:10.1890/0012-9615(1997)067[0345:saaist]2.0.co;2 · Cited by 7,431
Kozich, J. J., Westcott, S. L., Baxter, N. T., Highlander, S. K., & Schloss, P. D. (2013) · Applied and Environmental Microbiology · doi:10.1128/aem.01043-13 · Cited by 7,112
The rhizosphere microbiome and plant health
Berendsen, R. L., Pieterse, C. M. J., & Bakker, P. A. H. M. (2012) · Trends in Plant Science · doi:10.1016/j.tplants.2012.04.001 · Cited by 5,347
Metadata
- Authors
- Peralta, A. L., Sun, Y., McDaniel, M. D., & Lennon, J. T.
- Venue
- Ecosphere
- Publisher
- Wiley
- Published
- 2018-05
- Volume
- 9
- Issue
- 5
- ISSN
- 2150-8925 (ISSN-L)
- OpenAlex
- W2803304541
- Cited by
- 284
- References
- 90
- FWCI
- 15.17
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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