The DOI matches its Crossref record; 186 of the 186 references it cites were found in a registry or an index.
Elucidating the Role of Effectors in Plant-Fungal Interactions: Progress and Challenges
Open accessAbstract
Pathogenic fungi have diverse growth lifestyles that support fungal colonization on plants. Successful colonization and infection for all lifestyles depends upon the ability to modify living host plants to sequester the necessary nutrients required for growth and reproduction. Secretion of virulence determinants referred to as "effectors" is assumed to be the key governing factor that determines host infection and colonization. Effector proteins are capable of suppressing plant defense responses and alter plant physiology to accommodate fungal invaders. This review focuses on effector molecules of biotrophic and hemibiotrophic plant pathogenic fungi, and the mechanism required for the release and uptake of effector molecules by the fungi and plant cells, respectively. We also place emphasis on the discovery of effectors, difficulties associated with predicting the effector repertoire, and fungal genomic features that have helped promote effector diversity leading to fungal evolution. We discuss the role of specific effectors found in biotrophic and hemibiotrophic fungi and examine how CRISPR/Cas9 technology may provide a new avenue for accelerating our ability in the discovery of fungal effector function.
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Cites
A Programmable Dual-RNA–Guided DNA Endonuclease in Adaptive Bacterial Immunity
Jinek, M., Chylinski, K., Fonfara, I., Hauer, M., Doudna, J. A., & Charpentier, E. (2012) · Science · doi:10.1126/science.1225829 · Cited by 17,116
Multiplex Genome Engineering Using CRISPR/Cas Systems
Cong, L., Ran, F. A., Cox, D., Lin, S., Barretto, R., Habib, N., Hsu, P. D., Wu, X., Jiang, W., Marraffini, L. A., et al. (2013) · Science · doi:10.1126/science.1231143 · Cited by 15,339
Jones, J. D. G., & Dangl, J. L. (2006) · Nature · doi:10.1038/nature05286 · Cited by 13,177
The new frontier of genome engineering with CRISPR-Cas9
Doudna, J. A., & Charpentier, E. (2014) · Science · doi:10.1126/science.1258096 · Cited by 7,062
CRISPR Provides Acquired Resistance Against Viruses in Prokaryotes
Barrangou, R., Fremaux, C., Deveau, H., Richards, M., Boyaval, P., Moineau, S., Romero, D. A., & Horvath, P. (2007) · Science · doi:10.1126/science.1138140 · Cited by 5,947
OERKE, E.-C. (2006) · The Journal of Agricultural Science · doi:10.1017/s0021859605005708 · Cited by 5,283
Plant immunity: towards an integrated view of plant–pathogen interactions
Dodds, P. N., & Rathjen, J. P. (2010) · Nature Reviews Genetics · doi:10.1038/nrg2812 · Cited by 3,424
CRISPR-Cas systems for editing, regulating and targeting genomes
Sander, J. D., & Joung, J. K. (2014) · Nature Biotechnology · doi:10.1038/nbt.2842 · Cited by 3,153 · cited 3×
“CRISPR/Cas9-based technologies have emerged as an effective way to generate unmarked mutations in several organisms (Sander and Joung, 2014), including Saccharomyces cereviseae (DiCarlo et al., 2013), Trichoderma reesei (Liu et al., 2015), M. oryzae (Arazoe et al., 2015), and Neurospora crassa…”
BackgroundRNA-guided editing of bacterial genomes using CRISPR-Cas systems
Jiang, W., Bikard, D., Cox, D., Zhang, F., & Marraffini, L. A. (2013) · Nature Biotechnology · doi:10.1038/nbt.2508 · Cited by 2,429
A practical guide to evaluating colocalization in biological microscopy
Dunn, K. W., Kamocka, M. M., & McDonald, J. H. (2011) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.00462.2010 · Cited by 2,038
Cited by
(2023) · doi:10.1093/plcell/koad036 · Cited by 139
Wang, W., Deng, Z., Wu, H., Zhao, Q., Li, T., Zhu, W., Wang, X., Tang, L., Wang, C., Cui, S.-Z., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-08950-3 · Cited by 71
Metadata
- Authors
- Selin, C., de Kievit, T. R., Belmonte, M. F., & Fernando, W. G. D.
- Venue
- Frontiers in Microbiology
- Publisher
- Frontiers Media SA
- Published
- 2016-04-27
- Volume
- 7
- Pages
- 600-600
- ISSN
- 1664-302X (ISSN-L)
- OpenAlex
- W2345268424
- Cited by
- 263
- References
- 186
- FWCI
- 14.67
- Type
- journal article
- Language
- en
- Open access
- gold
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- Selin, C., de Kievit, T. R., Belmonte, M. F., & Fernando, W. G. D. (2016). Elucidating the Role of Effectors in Plant-Fungal Interactions: Progress and Challenges. Frontiers in Microbiology. https://doi.org/10.3389/fmicb.2016.00600
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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.
