Exploring the Synergistic Secretome: Insights from Co-Cultivation of Aspergillus brasiliensis and Trichoderma reesei RUT-C30

The spectrum of enzymes required for complete lignocellulosic waste hydrolysis is too diverse to be secreted by a single organism. An alternative is to employ fungal co-cultures to obtain more diverse and complete enzymatic cocktails without the need to mix enzymes during downstream processing. This study evaluated the co-cultivation of <i>Aspergillus brasiliensis</i> and <i>Trichoderma reesei</i> RUT-C30 in different conditions using sugarcane bagasse as the carbon source. The resulting enzymatic cocktails were characterized according to the impact of strain inoculation time on enzymatic activities and proteome composition. Data revealed that the profile of each enzymatic extract was highly dependent on the order in which the participating fungi were inoculated. Some of the co-cultures exhibited higher enzyme activities compared to their respective monocultures for enzymes such as CMCase, pectinase, β-glucosidase, and β-xylosidase. Analysis of the <i>T. reesei</i> RUT-C30 and <i>A. brasiliensis</i> co-culture secretome resulted in the identification of 167 proteins, with 78 from <i>T. reesei</i> and 89 from <i>A. brasiliensis</i>. In agreement with the enzymatic results, proteome analysis also revealed that the timing of inoculation greatly influences the overall secretome, with a predominance of <i>T. reesei</i> RUT-C30 proteins when first inoculated or in simultaneous inoculation.

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Publication Details

Journal
Journal of Fungi
Published
2024-09-28
DOI
https://doi.org/10.3390/jof10100677
Citations
4
Primary Topic
Biofuel production and bioconversion
Type
article
Field-Weighted Citation Impact
0.74

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article

Exploring the Synergistic Secretome: Insights from Co-Cultivation of Aspergillus brasiliensis and Trichoderma reesei RUT-C30

Carlos André Ornelas Ricart, Taísa Godoy Gomes, Luis Henrique Ferreira do Vale, Robert G. Miller et al.
4 citations
Journal of Fungi
Biofuel production and bioconversion
0.74
article

Exploring the Synergistic Secretome: Insights from Co-Cultivation of Aspergillus brasiliensis and Trichoderma reesei RUT-C30

Carlos André Ornelas Ricart, Taísa Godoy Gomes, Luis Henrique Ferreira do Vale, Robert G. Miller, Marcelo Valle de Sousa, Edivaldo Ximenes Ferreira Filho, Reynaldo Magalhães Melo, Guilherme Bento Sperandio
article en
4 citations

Abstract

The spectrum of enzymes required for complete lignocellulosic waste hydrolysis is too diverse to be secreted by a single organism. An alternative is to employ fungal co-cultures to obtain more diverse and complete enzymatic cocktails without the need to mix enzymes during downstream processing. This study evaluated the co-cultivation of <i>Aspergillus brasiliensis</i> and <i>Trichoderma reesei</i> RUT-C30 in different conditions using sugarcane bagasse as the carbon source. The resulting enzymatic cocktails were characterized according to the impact of strain inoculation time on enzymatic activities and proteome composition. Data revealed that the profile of each enzymatic extract was highly dependent on the order in which the participating fungi were inoculated. Some of the co-cultures exhibited higher enzyme activities compared to their respective monocultures for enzymes such as CMCase, pectinase, β-glucosidase, and β-xylosidase. Analysis of the <i>T. reesei</i> RUT-C30 and <i>A. brasiliensis</i> co-culture secretome resulted in the identification of 167 proteins, with 78 from <i>T. reesei</i> and 89 from <i>A. brasiliensis</i>. In agreement with the enzymatic results, proteome analysis also revealed that the timing of inoculation greatly influences the overall secretome, with a predominance of <i>T. reesei</i> RUT-C30 proteins when first inoculated or in simultaneous inoculation.

Journal of FungiVol. 10(10)
Universidade de Brasília (BR)
Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação de Apoio à Pesquisa do Distrito Federal
Clean water and sanitation
Openalex Percentile: Top 32%
Biofuel production and bioconversion
0.74
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