The DOI matches its Crossref record; 66 of the 66 references it cites were found in a registry or an index.
Dynamic root exudate chemistry and microbial substrate preferences drive patterns in rhizosphere microbial community assembly
Open accessAbstract
Like all higher organisms, plants have evolved in the context of a microbial world, shaping both their evolution and their contemporary ecology. Interactions between plant roots and soil microorganisms are critical for plant fitness in natural environments. Given this co-evolution and the pivotal importance of plant–microbial interactions, it has been hypothesized, and a growing body of literature suggests, that plants may regulate the composition of their rhizosphere to promote the growth of microorganisms that improve plant fitness in a given ecosystem. Here, using a combination of comparative genomics and exometabolomics, we show that pre-programmed developmental processes in plants (Avena barbata) result in consistent patterns in the chemical composition of root exudates. This chemical succession in the rhizosphere interacts with microbial metabolite substrate preferences that are predictable from genome sequences. Specifically, we observed a preference by rhizosphere bacteria for consumption of aromatic organic acids exuded by plants (nicotinic, shikimic, salicylic, cinnamic and indole-3-acetic). The combination of these plant exudation traits and microbial substrate uptake traits interact to yield the patterns of microbial community assembly observed in the rhizosphere of an annual grass. This discovery provides a mechanistic underpinning for the process of rhizosphere microbial community assembly and provides an attractive direction for the manipulation of the rhizosphere microbiome for beneficial outcomes.Using comparative genomics and exometabolomics, the authors characterize the chemical composition of plant root exudates and show that this chemical succession is a likely driver of microbial community assembly in the rhizosphere.
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Cites
A Revised Medium for Rapid Growth and Bio Assays with Tobacco Tissue Cultures
Murashige, T., & Skoog, F. (1962) · Physiologia Plantarum · doi:10.1111/j.1399-3054.1962.tb08052.x · Cited by 67,392
MUSCLE: multiple sequence alignment with high accuracy and high throughput
Edgar, R. C. (2004) · Nucleic Acids Research · doi:10.1093/nar/gkh340 · Cited by 44,662
vegan: Community Ecology Package
Oksanen, J., Simpson, G. L., Blanchet, F. G., Kindt, R., Legendre, P., Minchin, P. R., O'Hara, R. B., Solymos, P., Stevens, M. H. H., Szoecs, E., et al. (2001) · CRAN: Contributed Packages · doi:10.32614/cran.package.vegan · Cited by 22,615
Statistical Procedures for Agricultural Research.
Cox, D. F., Gomez, K. A., & Gomez, A. A. (1985) · Journal of the American Statistical Association · doi:10.2307/2287932 · Cited by 18,086
FastTree 2 – Approximately Maximum-Likelihood Trees for Large Alignments
Price, M. N., Dehal, P. S., & Arkin, A. P. (2010) · PLoS ONE · doi:10.1371/journal.pone.0009490 · Cited by 14,894
The carbohydrate-active enzymes database (CAZy) in 2013
Lombard, V., Golaconda Ramulu, H., Drula, E., Coutinho, P. M., & Henrissat, B. (2014) · Nucleic Acids Research · doi:10.1093/nar/gkt1178 · Cited by 6,333
Sumner, L. W., Amberg, A., Barrett, D., Beale, M. H., Beger, R., Daykin, C. A., Fan, T. W.-M., Fiehn, O., Goodacre, R., Griffin, J. L., et al. (2007) · Metabolomics · doi:10.1007/s11306-007-0082-2 · Cited by 5,368
THE ROLE OF ROOT EXUDATES IN RHIZOSPHERE INTERACTIONS WITH PLANTS AND OTHER ORGANISMS
Bais, H. P., Weir, T. L., Perry, L. G., Gilroy, S., & Vivanco, J. M. (2006) · Annual Review of Plant Biology · doi:10.1146/annurev.arplant.57.032905.105159 · Cited by 4,682
Pluskal, T., Castillo, S., Villar-Briones, A., & Orešič, M. (2010) · BMC Bioinformatics · doi:10.1186/1471-2105-11-395 · Cited by 3,845
Structure and functions of the bacterial microbiota of plants
Bulgarelli, D., Schlaeppi, K., Spaepen, S., van Themaat, E. V. L., & Schulze-Lefert, P. (2013) · Annual Review of Plant Biology · doi:10.1146/annurev-arplant-050312-120106 · Cited by 3,308
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Life and death in the soil microbiome: how ecological processes influence biogeochemistry
Sokol, N. W., Slessarev, E., Marschmann, G. L., Nicolas, A., Blazewicz, S. J., Brodie, E. L., Firestone, M. K., Foley, M. M., Hestrin, R., Hungate, B. A., et al. (2022) · Nature Reviews Microbiology · doi:10.1038/s41579-022-00695-z · Cited by 1,179
Self-citationRhizosphere microbial communities and heavy metals
Barra Caracciolo, A., & Terenzi, V. (2021) · Microorganisms · doi:10.3390/microorganisms9071462 · Cited by 234
Liang, Y., Ma, A., & Zhuang, G. (2022) · Frontiers in Microbiology · doi:10.3389/fmicb.2022.829717 · Cited by 146
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Metadata
- Authors
- Zhalnina, K., Louie, K. B., Hao, Z., Mansoori, N., da Rocha, U. N., Shi, S., Cho, H., Karaoz, U., Loqué, D., Bowen, B. P., Firestone, M. K., Northen, T. R., & Brodie, E. L.
- Venue
- Nature Microbiology
- Published
- 2018-03-19
- Volume
- 3
- Issue
- 4
- Pages
- 470-480
- ISSN
- 2058-5276 (ISSN-L)
- OpenAlex
- W2793476021
- Cited by
- 2,368
- References
- 66
- FWCI
- 121.58
- Type
- journal article
- Language
- en
- Open access
- green
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- Zhalnina, K., Louie, K. B., Hao, Z., Mansoori, N., da Rocha, U. N., Shi, S., Cho, H., Karaoz, U., Loqué, D., Bowen, B. P., Firestone, M. K., Northen, T. R., & Brodie, E. L. (2018). Dynamic root exudate chemistry and microbial substrate preferences drive patterns in rhizosphere microbial community assembly. Nature Microbiology. https://doi.org/10.1038/s41564-018-0129-3
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