Genetically tailored grapevines for the wine industry.

Grapevine biotechnology is one of the most promising developments in the global wine industry, which is increasingly faced with conflicting demands from markets, consumers and environmentalists. In the grapevine industries, this technology and its supporting disciplines entail the establishment of stress tolerant and disease resistant varieties of Vitis vinifera, with increased productivity, efficiency, sustainability and environmental friendliness, especially regarding improved pest and disease control, water use efficiency and grape quality. The implementation and successful commercialisation of genetically improved grapevine varieties will only be realized if an array of hurdles, both scientific and otherwise, can be overcome.

[1]  N. Terrier,et al.  Grape Berry Acidity , 2001 .

[2]  Andreas Wagner,et al.  How to reconstruct a large genetic network from n gene perturbations in fewer than n2 easy steps , 2001, Bioinform..

[3]  A. Cornish-Bowden,et al.  Taking enzyme kinetics out of control; putting control into regulation. , 1993, European journal of biochemistry.

[4]  K. Roubelakis-Angelakis Molecular biology & biotechnology of the grapevine , 2001 .

[5]  I. S. Pretorius,et al.  Genetic Improvement of Grapevine: Tailoring Grape Varieties for The Third Millennium - A Review , 2019, South African Journal of Enology & Viticulture.

[6]  James R. Knight,et al.  A comprehensive analysis of protein–protein interactions in Saccharomyces cerevisiae , 2000, Nature.

[7]  Alain Bouquet,et al.  Biology of the Grapevine , 1992 .

[8]  L. Gény,et al.  Polyamines in Grapevine , 2001 .

[9]  Patrik D'haeseleer,et al.  Linear Modeling of mRNA Expression Levels During CNS Development and Injury , 1998, Pacific Symposium on Biocomputing.

[10]  P. Boss,et al.  Molecular Biology of Sugar and Anthocyanin Accumulation in Grape Berries , 2001 .

[11]  P. Høj,et al.  MOLECULAR BIOLOGY AND BIOCHEMISTRY OF PROLINE ACCUMULATION IN DEVELOPING GRAPE BERRIES , 2001 .

[12]  I. S. Pretorius,et al.  Tailoring wine yeast for the new millennium: novel approaches to the ancient art of winemaking , 2000, Yeast.

[13]  Neal S. Holter,et al.  Dynamic modeling of gene expression data. , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[14]  H. Bussemaker,et al.  Regulatory element detection using correlation with expression , 2001, Nature Genetics.

[15]  P. Brazhnik,et al.  Linking the genes: inferring quantitative gene networks from microarray data. , 2002, Trends in genetics : TIG.

[16]  Xin Chen,et al.  TRANSFAC: an integrated system for gene expression regulation , 2000, Nucleic Acids Res..

[17]  S. Kauffman Homeostasis and Differentiation in Random Genetic Control Networks , 1969, Nature.

[18]  Patrik D'haeseleer,et al.  Genetic network inference: from co-expression clustering to reverse engineering , 2000, Bioinform..

[19]  S. Delrot,et al.  Water Transport and Aquaporins in Grapevine , 2001 .

[20]  L. Serrano,et al.  Engineering stability in gene networks by autoregulation , 2000, Nature.

[21]  K. F. Pocock,et al.  Pathogenesis Related Proteins — Their Accumulation in Grapes during Berry Growth and Their Involvement in White Wine Heat Instability. Current Knowledge and Future Perspectives in Relation to Winemaking Practices , 2001 .

[22]  E. Boa,et al.  Plant Pathology (4th edn) , 1998 .

[23]  Ronald S. Jackson,et al.  Wine Science: Principles and Applications , 1994 .

[24]  R. Thomas,et al.  Boolean formalization of genetic control circuits. , 1973, Journal of theoretical biology.

[25]  I. Gribaudo,et al.  Somatic embryogenesis in grapevine Vitis vinifera L. , 1994 .

[26]  Albert,et al.  Emergence of scaling in random networks , 1999, Science.

[27]  A. Atanassov,et al.  Genetically Engineered Grape for Disease and Stress Tolerance , 2001 .

[28]  M Wahde,et al.  Coarse-grained reverse engineering of genetic regulatory networks. , 2000, Bio Systems.

[29]  B. Reisch,et al.  Grapevine Genetic Engineering , 2001 .

[30]  V. Thorsson,et al.  Discovery of regulatory interactions through perturbation: inference and experimental design. , 1999, Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing.

[31]  M. S. Grando,et al.  MICROSATELLITE MARKERS FOR GRAPEVINE: A STATE OF THE ART , 2001 .

[32]  K. Roubelakis-Angelakis,et al.  Nitrogen Assimilation in Grapevine , 2001 .

[33]  Hidde de Jong,et al.  Modeling and Simulation of Genetic Regulatory Systems: A Literature Review , 2002, J. Comput. Biol..

[34]  A. Cornish-Bowden,et al.  Co-response analysis: a new experimental strategy for metabolic control analysis. , 1996, Journal of theoretical biology.

[35]  J. Sanford,et al.  The concept of parasite-derived resistance—Deriving resistance genes from the parasite's own genome , 1985 .

[36]  D. Botstein,et al.  Cluster analysis and display of genome-wide expression patterns. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[37]  E. Davidson,et al.  Genomic cis-regulatory logic: experimental and computational analysis of a sea urchin gene. , 1998, Science.

[38]  I. S. Pretorius The Genetic Improvement of Wine Yeasts , 2003 .

[39]  L. Bavaresco,et al.  PHYSIOLOGICAL ROLE AND MOLECULAR ASPECTS OF GRAPEVINE STILBENIC COMPOUNDS , 2001 .

[40]  D. Fell,et al.  The small world inside large metabolic networks , 2000, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[41]  H. Westerhoff,et al.  The regulatory strength: How to be precise about regulation and homeostasis , 1993, Acta biotheoretica.

[42]  Akutsu,et al.  A System for Identifying Genetic Networks from Gene Expression Patterns Produced by Gene Disruptions and Overexpressions. , 1998, Genome informatics. Workshop on Genome Informatics.

[43]  Andrew L. Waterhouse,et al.  The present and future of the international wine industry , 2002, Nature.