The DOI matches its Crossref record; 80 of the 80 references it cites were found in a registry or an index.
Alternaria Toxins: Potential Virulence Factors and Genes Related to Pathogenesis
Open accessAbstract
Alternaria is an important fungus to study due to their different life style from saprophytes to endophytes and a very successful fungal pathogen that causes diseases to a number of economically important crops. Alternaria species have been well characterized for the production of different host-specific toxins (HSTs) and non-host specific toxins (nHSTs) which depend upon their physiological and morphological stages. The pathogenicity of Alternaria species depends on host susceptibility or resistance as well as quantitative production of HSTs and nHSTs. These toxins are chemically low molecular weight secondary metabolites (SMs). The effects of toxins are mainly on different parts of cells like mitochondria, chloroplast, plasma membrane, Golgi complex, nucleus, etc. Alternaria species are produced from several nHSTs such as brefeldin A, tenuazonic acid, tentoxin and zinniol. HSTs that act in very low concentrations affect only certain plant varieties or genotype and play a role in determining the host range of specificity of plant pathogens. The commonly known HSTs are AAL-, AK-, AM-, AF-, ACR- and ACT-toxins which are named by their host specificity and these toxins are classified into different family groups. The HSTs are differentiated on the basis of bio-statistical and other molecular analyses. All these toxins have different mode of action, biochemical reactions and signalling mechanisms to cause diseases. Different species of Alternaria produced toxins which reveal its biochemical and genetic effects on itself as well as on its host cells tissues. The genes responsible for the production of HSTs are found on the conditionally dispensable chromosomes (CDCs) which have been well characterized. Different bio-statistical methods like BLAST data analysis used for the annotation of gene prediction, pathogenicity-related genes may provide surprising knowledge in present and future.
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Cites
The Pfam Protein Families Database
Bateman, A. (2002) · Nucleic Acids Research · doi:10.1093/nar/30.1.276 · Cited by 14,000
Krogh, A., Larsson, B., von Heijne, G., & Sonnhammer, E. L. L. (2001) · Journal of Molecular Biology · doi:10.1006/jmbi.2000.4315 · Cited by 12,654
Improved Prediction of Signal Peptides: SignalP 3.0
Dyrløv Bendtsen, J., Nielsen, H., von Heijne, G., & Brunak, S. (2004) · Journal of Molecular Biology · doi:10.1016/j.jmb.2004.05.028 · Cited by 6,350
Pfam: the protein families database
Finn, R. D., Bateman, A., Clements, J., Coggill, P., Eberhardt, R. Y., Eddy, S. R., Heger, A., Hetherington, K., Holm, L., Mistry, J., et al. (2014) · Nucleic Acids Research · doi:10.1093/nar/gkt1223 · Cited by 6,148
The Carbohydrate-Active EnZymes database (CAZy): an expert resource for Glycogenomics
Cantarel, B. L., Coutinho, P. M., Rancurel, C., Bernard, T., Lombard, V., & Henrissat, B. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkn663 · Cited by 5,972
Role for a bidentate ribonuclease in the initiation step of RNA interference
Bernstein, E., Caudy, A. A., Hammond, S. M., & Hannon, G. J. (2001) · Nature · doi:10.1038/35053110 · Cited by 4,892
High-throughput functional annotation and data mining with the Blast2GO suite
Gotz, S., Garcia-Gomez, J. M., Terol, J., Williams, T. D., Nagaraj, S. H., Nueda, M. J., Robles, M., Talon, M., Dopazo, J., & Conesa, A. (2008) · Nucleic Acids Research · doi:10.1093/nar/gkn176 · Cited by 4,423
WoLF PSORT: protein localization predictor
Horton, P., Park, K.-J., Obayashi, T., Fujita, N., Harada, H., Adams-Collier, C. J., & Nakai, K. (2007) · Nucleic Acids Research · doi:10.1093/nar/gkm259 · Cited by 4,127
RNA interference is mediated by 21- and 22-nucleotide RNAs
Elbashir, S. M., Lendeckel, W., & Tuschl, T. (2001) · Genes & Development · doi:10.1101/gad.862301 · Cited by 3,310
The Pfam protein families database
Bateman, A. (2004) · Nucleic Acids Research · doi:10.1093/nar/gkh121 · Cited by 3,127
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Metadata
- Authors
- Meena, M., Gupta, S. K., Swapnil, P., Zehra, A., Dubey, M. K., & Upadhyay, R. S.
- Venue
- Frontiers in Microbiology
- Publisher
- Frontiers Media SA
- Published
- 2017-08-08
- Volume
- 8
- Pages
- 1451-1451
- ISSN
- 1664-302X (ISSN-L)
- OpenAlex
- W2742265179
- Cited by
- 256
- References
- 80
- FWCI
- 6.59
- Type
- journal article
- Language
- en
- Open access
- gold
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