The DOI matches its Crossref record; 153 of the 153 references it cites were found in a registry or an index.
Plant Signaling and Metabolic Pathways Enabling Arbuscular Mycorrhizal Symbiosis
Open accessAbstract
-acetyl glucosamine transporter and an alpha/beta-fold hydrolase receptor at the earliest stages of AM symbiosis. Calcium channels required for symbiosis signaling have been identified, and connections between the symbiosis signaling pathway and key transcriptional regulators that direct AM-specific gene expression have been established. Phylogenomics has revealed the existence of genes conserved for AM symbiosis, providing clues as to how plant cells fine-tune their biology to enable symbiosis, and an exciting coalescence of genome mining, lipid profiling, and tracer studies collectively has led to the conclusion that AM fungi are fatty acid auxotrophs and that plants provide their fungal endosymbionts with fatty acids. Here, we provide an overview of the molecular program for AM symbiosis and discuss these recent advances.
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Cites
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Cited by
Beneficial soil-borne bacteria and fungi: a promising way to improve plant nitrogen acquisition
Dellagi, A., Quillere, I., & Hirel, B. (2020) · Journal of Experimental Botany · doi:10.1093/jxb/eraa112 · Cited by 116
Metadata
- Authors
- MacLean, A. M., Bravo, A., & Harrison, M. J.
- Venue
- The Plant Cell
- Publisher
- Oxford University Press (OUP)
- Published
- 2017-08-30
- Volume
- 29
- Issue
- 10
- Pages
- 2319-2335
- ISSN
- 1040-4651 (ISSN-L)
- 1532-298X
- OpenAlex
- W2753542125
- Cited by
- 317
- References
- 153
- FWCI
- 26.64
- Type
- journal article
- Language
- en
- Open access
- green
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- MacLean, A. M., Bravo, A., & Harrison, M. J. (2017). Plant Signaling and Metabolic Pathways Enabling Arbuscular Mycorrhizal Symbiosis. The Plant Cell. https://doi.org/10.1105/tpc.17.00555
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
