2010
DOI: 10.1186/1471-2164-11-105
|View full text |Cite
|
Sign up to set email alerts
|

Fungal Secretome Database: Integrated platform for annotation of fungal secretomes

Abstract: BackgroundFungi secrete various proteins that have diverse functions. Prediction of secretory proteins using only one program is unsatisfactory. To enhance prediction accuracy, we constructed Fungal Secretome Database (FSD).DescriptionA three-layer hierarchical identification rule based on nine prediction programs was used to identify putative secretory proteins in 158 fungal/oomycete genomes (208,883 proteins, 15.21% of the total proteome). The presence of putative effectors containing known host targeting si… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

4
174
0

Year Published

2010
2010
2016
2016

Publication Types

Select...
6
2
1

Relationship

0
9

Authors

Journals

citations
Cited by 177 publications
(178 citation statements)
references
References 94 publications
4
174
0
Order By: Relevance
“…Of the total number of different proteins in the extracellular proteome of P. chrysogenum, 102 out of 131 were predicted to contain either classical or nonclassical signal sequences using the SignalP and SecretomeP programs. Prediction of secretory proteins has been improved by the implementation of the Fungal Secretome Database (20), which is based on nine prediction programs (including SignalP and SecretomeP) and has been used to identify putative secretory proteins in 158 fungal/ oomycete genomes. The presence of proteins with nonpredicted signal sequences in the secreted fraction has also been described in the filamentous fungus Botrytis cinerea (19).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Of the total number of different proteins in the extracellular proteome of P. chrysogenum, 102 out of 131 were predicted to contain either classical or nonclassical signal sequences using the SignalP and SecretomeP programs. Prediction of secretory proteins has been improved by the implementation of the Fungal Secretome Database (20), which is based on nine prediction programs (including SignalP and SecretomeP) and has been used to identify putative secretory proteins in 158 fungal/ oomycete genomes. The presence of proteins with nonpredicted signal sequences in the secreted fraction has also been described in the filamentous fungus Botrytis cinerea (19).…”
Section: Discussionmentioning
confidence: 99%
“…However, because of the availability of several fungal genomes and diverse prediction programs for secretory proteins, an integrated platform for annotation of fungal secretomes (Fungal Secretome Database) has been established and implemented in a web-based database (20). This database has been proposed as an integrated environment for the study of secretory proteins in the fungal kingdom.…”
mentioning
confidence: 99%
“…Typical signal peptides that facilitate translocation have been located in the majority of filamentous pathogen effectors identified to date (1239,1258,1260). Cysteine-rich domains may also play a role in translocation signaling, as translocated apoplastic effectors and host-translocated effec-tors are both small cysteine-rich proteins (1247).…”
Section: Common Features Of Known Effector Proteinsmentioning
confidence: 99%
“…Like transcriptomics, proteomics has a big problem with unknown proteins. In fungi, 208,883 putative secretory proteins have been identified (Choi et al, 2010), but only a small fraction of them have been studied, and so far, nobody knows the biological/ecological role of most of them. On the other hand, there are many reports describing the use of plant mutants, pathogenic bacteria, and symbiotic microbes that highlight the vast diversity of proteins or even the function of a group of proteins during plant-microbe interaction (De-la-Peña et al, 2008;Afroz et al, 2013;Alberton et al, 2013;Dam et al, 2014).…”
Section: Proteomicsmentioning
confidence: 99%