The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Rhizosphere microbiome assemblage is affected by plant development
Open accessAbstract
There is a concerted understanding of the ability of root exudates to influence the structure of rhizosphere microbial communities. However, our knowledge of the connection between plant development, root exudation and microbiome assemblage is limited. Here, we analyzed the structure of the rhizospheric bacterial community associated with Arabidopsis at four time points corresponding to distinct stages of plant development: seedling, vegetative, bolting and flowering. Overall, there were no significant differences in bacterial community structure, but we observed that the microbial community at the seedling stage was distinct from the other developmental time points. At a closer level, phylum such as Acidobacteria, Actinobacteria, Bacteroidetes, Cyanobacteria and specific genera within those phyla followed distinct patterns associated with plant development and root exudation. These results suggested that the plant can select a subset of microbes at different stages of development, presumably for specific functions. Accordingly, metatranscriptomics analysis of the rhizosphere microbiome revealed that 81 unique transcripts were significantly (P<0.05) expressed at different stages of plant development. For instance, genes involved in streptomycin synthesis were significantly induced at bolting and flowering stages, presumably for disease suppression. We surmise that plants secrete blends of compounds and specific phytochemicals in the root exudates that are differentially produced at distinct stages of development to help orchestrate rhizosphere microbiome assemblage.
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Cites
Ultrafast and memory-efficient alignment of short DNA sequences to the human genome.
Langmead, B., Trapnell, C., Pop, M., & Salzberg, S. L. (2009) · Genome Biology · doi:10.1186/gb-2009-10-3-r25 · Cited by 21,849
<tt>BLAT</tt> —The <tt>BLAST</tt> -Like Alignment Tool
Kent, W. J. (2002) · Genome Research · doi:10.1101/gr.229202 · Cited by 8,480
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
Van Der Heijden, M. G. A., Bardgett, R. D., & Van Straalen, N. M. (2008) · Ecology Letters · doi:10.1111/j.1461-0248.2007.01139.x · Cited by 5,053
Cited by
Rhizosphere interactions: root exudates, microbes, and microbial communities
Huang, X.-F., Chaparro, J. M., Reardon, K. F., Zhang, R., Shen, Q., & Vivanco, J. M. (2014) · Botany · doi:10.1139/cjb-2013-0225 · Cited by 824
Self-citationMicrobiota and Host Nutrition across Plant and Animal Kingdoms
Hacquard, S., Garrido-Oter, R., González, A., Spaepen, S., Ackermann, G., Lebeis, S., McHardy, A. C., Dangl, J. L., Knight, R., Ley, R., et al. (2015) · Cell Host & Microbe · doi:10.1016/j.chom.2015.04.009 · Cited by 779
Saleem, M., Hu, J., & Jousset, A. (2019) · Annual Review of Ecology, Evolution, and Systematics · doi:10.1146/annurev-ecolsys-110617-062605 · Cited by 437
Functional Soil Microbiome: Belowground Solutions to an Aboveground Problem
Lakshmanan, V., Selvaraj, G., & Bais, H. P. (2014) · Plant Physiology · doi:10.1104/pp.114.245811 · Cited by 400
Molecular microbiology methods for environmental diagnosis
Bouchez, T., Blieux, A. L., Dequiedt, S., Domaizon, I., Dufresne, A., Ferreira, S., Godon, J. J., Hellal, J., Joulian, C., Quaiser, A., et al. (2016) · Environmental Chemistry Letters · doi:10.1007/s10311-016-0581-3 · Cited by 121
Metadata
- Authors
- Chaparro, J. M., Badri, D. V., & Vivanco, J. M.
- Venue
- The ISME Journal
- Publisher
- Oxford University Press (OUP)
- Published
- 2013-11-07
- Volume
- 8
- Issue
- 4
- Pages
- 790-803
- ISSN
- 1751-7362 (ISSN-L)
- 1751-7370
- OpenAlex
- W2058096782
- Cited by
- 1,578
- References
- 4
- FWCI
- 37.77
- Type
- journal article
- Language
- en
- Open access
- bronze
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