Dissecting the polysaccharide-rich grape cell wall matrix using recombinant pectinases during winemaking

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Dissecting the polysaccharide-rich grape cell wall matrix using recombinant pectinases during winemaking. / Gao, Yu; Fangel, Jonatan Ulrik; Willats, William George Tycho; Vivier, Melané A.; Moore, John P.

In: Carbohydrate Polymers, Vol. 152, 2016, p. 510-519.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Gao, Y, Fangel, JU, Willats, WGT, Vivier, MA & Moore, JP 2016, 'Dissecting the polysaccharide-rich grape cell wall matrix using recombinant pectinases during winemaking', Carbohydrate Polymers, vol. 152, pp. 510-519. https://doi.org/10.1016/j.carbpol.2016.05.115

APA

Gao, Y., Fangel, J. U., Willats, W. G. T., Vivier, M. A., & Moore, J. P. (2016). Dissecting the polysaccharide-rich grape cell wall matrix using recombinant pectinases during winemaking. Carbohydrate Polymers, 152, 510-519. https://doi.org/10.1016/j.carbpol.2016.05.115

Vancouver

Gao Y, Fangel JU, Willats WGT, Vivier MA, Moore JP. Dissecting the polysaccharide-rich grape cell wall matrix using recombinant pectinases during winemaking. Carbohydrate Polymers. 2016;152:510-519. https://doi.org/10.1016/j.carbpol.2016.05.115

Author

Gao, Yu ; Fangel, Jonatan Ulrik ; Willats, William George Tycho ; Vivier, Melané A. ; Moore, John P. / Dissecting the polysaccharide-rich grape cell wall matrix using recombinant pectinases during winemaking. In: Carbohydrate Polymers. 2016 ; Vol. 152. pp. 510-519.

Bibtex

@article{47a2eaaa6a5e4b9396ec5df27e80d892,
title = "Dissecting the polysaccharide-rich grape cell wall matrix using recombinant pectinases during winemaking",
abstract = "The effectiveness of enzyme-mediated-maceration in red winemaking relies on the use of an optimum combination of specific enzymes. A lack of information on the relevant enzyme activities and the corresponding polysaccharide-rich berry cell wall structure is a major limitation. This study used different combinations of purified recombinant pectinases with cell wall profiling tools to follow the deconstruction process during winemaking. Multivariate data analysis of the glycan microarray (CoMPP) and gas chromatography (GC) results revealed that pectin lyase performed almost as effectively in de-pectination as certain commercial enzyme mixtures. Surprisingly the combination of endo-polygalacturonase and pectin-methyl-esterase only unraveled the cell walls without de-pectination. Datasets from the various combinations used confirmed pectin-rich and xyloglucan-rich layers within the grape pomace. These data support a proposed grape cell wall model which can serve as a foundation to evaluate testable hypotheses in future studies aimed at developing tailor-made enzymes for winemaking scenarios.",
keywords = "Journal Article",
author = "Yu Gao and Fangel, {Jonatan Ulrik} and Willats, {William George Tycho} and Vivier, {Melan{\'e} A.} and Moore, {John P.}",
note = "Copyright {\textcopyright} 2016 Elsevier Ltd. All rights reserved.",
year = "2016",
doi = "10.1016/j.carbpol.2016.05.115",
language = "English",
volume = "152",
pages = "510--519",
journal = "Carbohydrate Polymers",
issn = "0144-8617",
publisher = "Pergamon Press",

}

RIS

TY - JOUR

T1 - Dissecting the polysaccharide-rich grape cell wall matrix using recombinant pectinases during winemaking

AU - Gao, Yu

AU - Fangel, Jonatan Ulrik

AU - Willats, William George Tycho

AU - Vivier, Melané A.

AU - Moore, John P.

N1 - Copyright © 2016 Elsevier Ltd. All rights reserved.

PY - 2016

Y1 - 2016

N2 - The effectiveness of enzyme-mediated-maceration in red winemaking relies on the use of an optimum combination of specific enzymes. A lack of information on the relevant enzyme activities and the corresponding polysaccharide-rich berry cell wall structure is a major limitation. This study used different combinations of purified recombinant pectinases with cell wall profiling tools to follow the deconstruction process during winemaking. Multivariate data analysis of the glycan microarray (CoMPP) and gas chromatography (GC) results revealed that pectin lyase performed almost as effectively in de-pectination as certain commercial enzyme mixtures. Surprisingly the combination of endo-polygalacturonase and pectin-methyl-esterase only unraveled the cell walls without de-pectination. Datasets from the various combinations used confirmed pectin-rich and xyloglucan-rich layers within the grape pomace. These data support a proposed grape cell wall model which can serve as a foundation to evaluate testable hypotheses in future studies aimed at developing tailor-made enzymes for winemaking scenarios.

AB - The effectiveness of enzyme-mediated-maceration in red winemaking relies on the use of an optimum combination of specific enzymes. A lack of information on the relevant enzyme activities and the corresponding polysaccharide-rich berry cell wall structure is a major limitation. This study used different combinations of purified recombinant pectinases with cell wall profiling tools to follow the deconstruction process during winemaking. Multivariate data analysis of the glycan microarray (CoMPP) and gas chromatography (GC) results revealed that pectin lyase performed almost as effectively in de-pectination as certain commercial enzyme mixtures. Surprisingly the combination of endo-polygalacturonase and pectin-methyl-esterase only unraveled the cell walls without de-pectination. Datasets from the various combinations used confirmed pectin-rich and xyloglucan-rich layers within the grape pomace. These data support a proposed grape cell wall model which can serve as a foundation to evaluate testable hypotheses in future studies aimed at developing tailor-made enzymes for winemaking scenarios.

KW - Journal Article

U2 - 10.1016/j.carbpol.2016.05.115

DO - 10.1016/j.carbpol.2016.05.115

M3 - Journal article

C2 - 27516299

VL - 152

SP - 510

EP - 519

JO - Carbohydrate Polymers

JF - Carbohydrate Polymers

SN - 0144-8617

ER -

ID: 169133819