scholarly journals Enzyme display technology for lignocellulosic biomass valorization by yeast cell factories

Author(s):  
Takahiro Bamba ◽  
Gregory Guirimand ◽  
Akihiko Kondo ◽  
Tomohisa Hasunuma
2019 ◽  
Vol 8 (11) ◽  
pp. 2514-2523 ◽  
Author(s):  
Yongkun Lv ◽  
Monireh Marsafari ◽  
Mattheos Koffas ◽  
Jingwen Zhou ◽  
Peng Xu

2015 ◽  
Vol 113 (6) ◽  
pp. 1164-1170 ◽  
Author(s):  
Eugene Fletcher ◽  
Anastasia Krivoruchko ◽  
Jens Nielsen

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Santosh Pandit ◽  
Oliver Konzock ◽  
Kirsten Leistner ◽  
VRSS Mokkapati ◽  
Alessandra Merlo ◽  
...  

AbstractEngineering of microbial cells to produce high value chemicals is rapidly advancing. Yeast, bacteria and microalgae are being used to produce high value chemicals by utilizing widely available carbon sources. However, current extraction processes of many high value products from these cells are time- and labor-consuming and require toxic chemicals. This makes the extraction processes detrimental to the environment and not economically feasible. Hence, there is a demand for the development of simple, effective, and environmentally friendly method for the extraction of high value chemicals from these cell factories. Herein, we hypothesized that atomically thin edges of graphene having ability to interact with hydrophobic materials, could be used to extract high value lipids from cell factories. To achieve this, array of axially oriented graphene was deposited on iron nanoparticles. These coated nanoparticles were used to facilitate the release of intracellular lipids from Yarrowia lipolytica cells. Our treatment process can be integrated with the growth procedure and achieved the release of 50% of total cellular lipids from Y. lipolytica cells. Based on this result, we propose that nanoparticles coated with axially oriented graphene could pave efficient, environmentally friendly, and cost-effective way to release intracellular lipids from yeast cell factories.


PLoS Genetics ◽  
2021 ◽  
Vol 17 (10) ◽  
pp. e1009826
Author(s):  
Gert Vanmarcke ◽  
Quinten Deparis ◽  
Ward Vanthienen ◽  
Arne Peetermans ◽  
Maria R. Foulquié-Moreno ◽  
...  

Development of cell factories for conversion of lignocellulosic biomass hydrolysates into biofuels or bio-based chemicals faces major challenges, including the presence of inhibitory chemicals derived from biomass hydrolysis or pretreatment. Extensive screening of 2526 Saccharomyces cerevisiae strains and 17 non-conventional yeast species identified a Candida glabrata strain as the most 5-hydroxymethylfurfural (HMF) tolerant. Whole-genome (WG) transformation of the second-generation industrial S. cerevisiae strain MD4 with genomic DNA from C. glabrata, but not from non-tolerant strains, allowed selection of stable transformants in the presence of HMF. Transformant GVM0 showed the highest HMF tolerance for growth on plates and in small-scale fermentations. Comparison of the WG sequence of MD4 and GVM1, a diploid segregant of GVM0 with similarly high HMF tolerance, surprisingly revealed only nine non-synonymous SNPs, of which none were present in the C. glabrata genome. Reciprocal hemizygosity analysis in diploid strain GVM1 revealed AST2N406I as the only causative mutation. This novel SNP improved tolerance to HMF, furfural and other inhibitors, when introduced in different yeast genetic backgrounds and both in synthetic media and lignocellulose hydrolysates. It stimulated disappearance of HMF and furfural from the medium and enhanced in vitro furfural NADH-dependent reducing activity. The corresponding mutation present in AST1 (i.e. AST1D405I) the paralog gene of AST2, also improved inhibitor tolerance but only in combination with AST2N406I and in presence of high inhibitor concentrations. Our work provides a powerful genetic tool to improve yeast inhibitor tolerance in lignocellulosic biomass hydrolysates and other inhibitor-rich industrial media, and it has revealed for the first time a clear function for Ast2 and Ast1 in inhibitor tolerance.


2021 ◽  
pp. 126209
Author(s):  
Aravind Madhavan ◽  
KB Arun ◽  
Raveendran Sindhu ◽  
Anju Alphonsa Jose ◽  
Arivalagan Pugazhendhi ◽  
...  

Author(s):  
Han Wei ◽  
Yan Yingting ◽  
Gu Jingjing ◽  
Yi Wenshi ◽  
Tang Junhong

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