Keyword search (4,163 papers available)

"Mäkelä MR" Authored Publications:

Title Authors PubMed ID
1 The Sugar Metabolic Model of Aspergillus niger Can Only Be Reliably Transferred to Fungi of Its Phylum Li J; Chroumpi T; Garrigues S; Kun RS; Meng J; Salazar-Cerezo S; Aguilar-Pontes MV; Zhang Y; Tejomurthula S; Lipzen A; Ng V; Clendinen CS; Tolic N; Grigoriev IV; Tsang A; Mäkelä MR; Snel B; Peng M; de Vries RP; 36547648
BIOLOGY
2 Comparative Analysis of Enzyme Production Patterns of Lignocellulose Degradation of Two White Rot Fungi: Obba rivulosa and Gelatoporia subvermispora Marinovíc M; Di Falco M; Aguilar Pontes MV; Gorzsás A; Tsang A; de Vries RP; Mäkelä MR; Hildén K; 35892327
CSFG
3 Carbohydrate esterase family 16 contains fungal hemicellulose acetyl esterases (HAEs) with varying specificity Venegas FA; Koutaniemi S; Langeveld SMJ; Bellemare A; Chong SL; Dilokpimol A; Lowden MJ; Hilden KS; Leyva-Illades JF; Mäkelä MR; My Pham TT; Peng M; Hancock MA; Zheng Y; Tsang A; Tenkanen M; Powlowski J; de Vries RP; 35405333
CSFG
4 Penicillium subrubescens adapts its enzyme production to the composition of plant biomass. Dilokpimol A, Peng M, Di Falco M, Chin A Woeng T, Hegi RMW, Granchi Z, Tsang A, Hildén KS, Mäkelä MR, de Vries RP 32408196
CSFG
5 Glucose-mediated repression of plant biomass utilization in the white-rot fungus Dichomitus squalens. Daly P, Peng M, Di Falco M, Lipzen A, Wang M, Ng V, Grigoriev IV, Tsang A, Mäkelä MR, de Vries RP 31585998
CSFG
6 Closely related fungi employ diverse enzymatic strategies to degrade plant biomass. Benoit I, Culleton H, Zhou M, DiFalco M, Aguilar-Osorio G, Battaglia E, Bouzid O, Brouwer CPJM, El-Bushari HBO, Coutinho PM, Gruben BS, Hildén KS, Houbraken J, Barboza LAJ, Levasseur A, Majoor E, Mäkelä MR, Narang HM, Trejo-Aguilar B, van den Brink J, vanKuyk PA, Wiebenga A, McKie V, McCleary B, Tsang A, Henrissat B, de Vries RP 26236396
CSFG
7 The molecular response of the white-rot fungus Dichomitus squalens to wood and non-woody biomass as examined by transcriptome and exoproteome analyses. Rytioja J, Hildén K, Di Falco M, Zhou M, Aguilar-Pontes MV, Sietiö OM, Tsang A, de Vries RP, Mäkelä MR 28028889
CSFG
8 Expression-based clustering of CAZyme-encoding genes of Aspergillus niger. Gruben BS, Mäkelä MR, Kowalczyk JE, Zhou M, Benoit-Gelber I, De Vries RP 29169319
CSFG
9 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
10 Genomic and exoproteomic diversity in plant biomass degradation approaches among Aspergilli Mäkelä MR; DiFalco M; McDonnell E; Nguyen TTM; Wiebenga A; Hildén K; Peng M; Grigoriev IV; Tsang A; de Vries RP; 30487660
CSFG
11 The presence of trace components significantly broadens the molecular response of Aspergillus niger to guar gum. Coconi Linares N, Di Falco M, Benoit-Gelber I, Gruben BS, Peng M, Tsang A, Mäkelä MR, de Vries RP 30797054
CSFG

 

Title:The Sugar Metabolic Model of Aspergillus niger Can Only Be Reliably Transferred to Fungi of Its Phylum
Authors:Li JChroumpi TGarrigues SKun RSMeng JSalazar-Cerezo SAguilar-Pontes MVZhang YTejomurthula SLipzen ANg VClendinen CSTolic NGrigoriev IVTsang AMäkelä MRSnel BPeng Mde Vries RP
Link:https://pubmed.ncbi.nlm.nih.gov/36547648/
DOI:10.3390/jof8121315
Publication:Journal of fungi (Basel, Switzerland)
Keywords:metabolism networkorthology-based approachsugar catabolismtranscriptome analysis
PMID:36547648 Category: Date Added:2022-12-22
Dept Affiliation: BIOLOGY
1 Fungal Physiology, Westerdijk Fungal Biodiversity Institute & Fungal Molecular Physiology, Utrecht University, Uppsalalaan 8, 3584 CT Utrecht, The Netherlands.
2 Department of Biology, Concordia University, 7141 Sherbrooke Street West, Montreal, QC H4B 1R6, Canada.
3 USA Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, 1 Cyclotron Rd, Berkeley, CA 94720, USA.
4 Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA 99354, USA.
5 Department of Plant and Microbial Biology, University of California Berkeley, Berkeley, CA 94598, USA.
6 Department of Microbiology, University of Helsinki, Viikinkaari 9, 00014 Helsinki, Finland.
7 Theoretical Biology and Bioinformatics, Utrecht University, Padualaan 8, 3584 CH Utrecht, The Netherlands.

Description:

Fungi play a critical role in the global carbon cycle by degrading plant polysaccharides to small sugars and metabolizing them as carbon and energy sources. We mapped the well-established sugar metabolic network of Aspergillus niger to five taxonomically distant species (Aspergillus nidulans, Penicillium subrubescens, Trichoderma reesei, Phanerochaete chrysosporium and Dichomitus squalens) using an orthology-based approach. The diversity of sugar metabolism correlates well with the taxonomic distance of the fungi. The pathways are highly conserved between the three studied Eurotiomycetes (A. niger, A. nidulans, P. subrubescens). A higher level of diversity was observed between the T. reesei and A. niger, and even more so for the two Basidiomycetes. These results were confirmed by integrative analysis of transcriptome, proteome and metabolome, as well as growth profiles of the fungi growing on the corresponding sugars. In conclusion, the establishment of sugar pathway models in different fungi revealed the diversity of fungal sugar conversion and provided a valuable resource for the community, which would facilitate rational metabolic engineering of these fungi as microbial cell factories.





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