Keyword search (4,164 papers available)

"Baker SE" Authored Publications:

Title Authors PubMed ID
1 Phenogenomics reveals the ecology and evolution of Trichoderma fungi for sustainable agriculture Steindorff AS; Cai FM; Ding M; Jiang S; Atanasova L; Baker SE; Barbosa-Filho JR; Bayram Akcapinar G; Brown DW; Chaverri P; Chen P; Chenthamara K; Daum C; Drula E; Dubey M; Brandström Durling M; Flatschacher D; Ebner T; Emri T; Gao R; Georg RC; Henrissat B; Hermosa R; Herrera-Estrella A; Hinterdobler W; Kainz P; Karlsson M; Kredics L; Kubicek CP; Kuo A; LaButti K; Lipzen A; Lorito M; Mach RL; Manganiello G; Marik T; Martinez-Reyes N; Mayrhofer-Reinhartshuber M; Miskei M; Moisan MC; Mondo S; Monte E; Ng V; Pa 41775999
GENOMICS
2 Analytical and computational approaches to define the Aspergillus niger secretome. Tsang A, Butler G, Powlowski J, Panisko EA, Baker SE 19618504
BIOLOGY
3 Investigation of inter- and intraspecies variation through genome sequencing of Aspergillus section Nigri. Vesth TC, Nybo JL, Theobald S, Frisvad JC, Larsen TO, Nielsen KF, Hoof JB, Brandl J, Salamov A, Riley R, Gladden JM, Phatale P, Nielsen MT, Lyhne EK, Kogle ME, Strasser K, McDonnell E, Barry K, Clum A, Chen C, LaButti K, Haridas S, Nolan M, Sandor L, Kuo A, Lipzen A, Hainaut M, Drula E, Tsang A, Magnuson JK, Henrissat B, Wiebenga A, Simmons BA, Mäkelä MR, de Vries RP, Grigoriev IV, Mortensen UH, Baker SE, Andersen MR 30349117
CSFG

 

Title:Analytical and computational approaches to define the Aspergillus niger secretome.
Authors:Tsang A,  Butler G,  Powlowski J,  Panisko EA,  Baker SE
Link:https://www.ncbi.nlm.nih.gov/pubmed/19618504?dopt=Abstract
DOI:10.1016/j.fgb.2008.07.014
Publication:Fungal genetics and biology : FG & B
Keywords:
PMID:19618504 Category:Fungal Genet Biol Date Added:2019-06-20
Dept Affiliation: BIOLOGY
1 Centre for Structural and Functional Genomics, Concordia University, 7141 Sherbrooke West, Montréal, Québec, Canada H4B 1R6, Department of Biology, Concordia University, Montréal, Québec, Canada. tsang@gene.concordia.ca

Description:

Analytical and computational approaches to define the Aspergillus niger secretome.

Fungal Genet Biol. 2009 Mar;46 Suppl 1:S153-S160

Authors: Tsang A, Butler G, Powlowski J, Panisko EA, Baker SE

Abstract

We used computational and mass spectrometric approaches to characterize the Aspergillus niger secretome.The 11,200 gene models predicted in the genome of A. niger strain ATCC 1015 were the data source for the analysis. Depending on the computational methods used, 691 to 881 proteins were predicted to be secreted proteins. We cultured A. niger in six different media and analyzed the extracellular proteins produced using mass spectrometry. A total of 222 proteins were identified, with 39 proteins expressed under all six conditions and 74 proteins expressed under only one condition. The secreted proteins identified by mass spectrometry were used to guide the correction of about 20 gene models. Additional analysis focused on extracellular enzymes of interest for biomass processing. Of the 63 glycoside hydrolases predicted to be capable of hydrolyzing cellulose, hemicellulose or pectin, 94% of the exo-acting enzymes and only 18% of the endo-acting enzymes were experimentally detected.

PMID: 19618504 [PubMed - indexed for MEDLINE]




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