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VitisNet: “Omics” Integration through Grapevine Molecular Networks
BACKGROUND: Genomic data release for the grapevine has increased exponentially in the last five years. The Vitis vinifera genome has been sequenced and Vitis EST, transcriptomic, proteomic, and metabolomic tools and data sets continue to be developed. The next critical challenge is to provide biolog...
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Formato: | Texto |
Lenguaje: | English |
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Public Library of Science
2009
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2791446/ https://www.ncbi.nlm.nih.gov/pubmed/20027228 http://dx.doi.org/10.1371/journal.pone.0008365 |
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author | Grimplet, Jérôme Cramer, Grant R. Dickerson, Julie A. Mathiason, Kathy Van Hemert, John Fennell, Anne Y. |
author_facet | Grimplet, Jérôme Cramer, Grant R. Dickerson, Julie A. Mathiason, Kathy Van Hemert, John Fennell, Anne Y. |
author_sort | Grimplet, Jérôme |
collection | PubMed |
description | BACKGROUND: Genomic data release for the grapevine has increased exponentially in the last five years. The Vitis vinifera genome has been sequenced and Vitis EST, transcriptomic, proteomic, and metabolomic tools and data sets continue to be developed. The next critical challenge is to provide biological meaning to this tremendous amount of data by annotating genes and integrating them within their biological context. We have developed and validated a system of Grapevine Molecular Networks (VitisNet). METHODOLOGY/PRINCIPAL FINDINGS: The sequences from the Vitis vinifera (cv. Pinot Noir PN40024) genome sequencing project and ESTs from the Vitis genus have been paired and the 39,424 resulting unique sequences have been manually annotated. Among these, 13,145 genes have been assigned to 219 networks. The pathway sets include 88 “Metabolic”, 15 “Genetic Information Processing”, 12 “Environmental Information Processing”, 3 “Cellular Processes”, 21 “Transport”, and 80 “Transcription Factors”. The quantitative data is loaded onto molecular networks, allowing the simultaneous visualization of changes in the transcriptome, proteome, and metabolome for a given experiment. CONCLUSIONS/SIGNIFICANCE: VitisNet uses manually annotated networks in SBML or XML format, enabling the integration of large datasets, streamlining biological functional processing, and improving the understanding of dynamic processes in systems biology experiments. VitisNet is grounded in the Vitis vinifera genome (currently at 8x coverage) and can be readily updated with subsequent updates of the genome or biochemical discoveries. The molecular network files can be dynamically searched by pathway name or individual genes, proteins, or metabolites through the MetNet Pathway database and web-portal at http://metnet3.vrac.iastate.edu/. All VitisNet files including the manual annotation of the grape genome encompassing pathway names, individual genes, their genome identifier, and chromosome location can be accessed and downloaded from the VitisNet tab at http://vitis-dormancy.sdstate.org. |
format | Text |
id | pubmed-2791446 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-27914462009-12-22 VitisNet: “Omics” Integration through Grapevine Molecular Networks Grimplet, Jérôme Cramer, Grant R. Dickerson, Julie A. Mathiason, Kathy Van Hemert, John Fennell, Anne Y. PLoS One Research Article BACKGROUND: Genomic data release for the grapevine has increased exponentially in the last five years. The Vitis vinifera genome has been sequenced and Vitis EST, transcriptomic, proteomic, and metabolomic tools and data sets continue to be developed. The next critical challenge is to provide biological meaning to this tremendous amount of data by annotating genes and integrating them within their biological context. We have developed and validated a system of Grapevine Molecular Networks (VitisNet). METHODOLOGY/PRINCIPAL FINDINGS: The sequences from the Vitis vinifera (cv. Pinot Noir PN40024) genome sequencing project and ESTs from the Vitis genus have been paired and the 39,424 resulting unique sequences have been manually annotated. Among these, 13,145 genes have been assigned to 219 networks. The pathway sets include 88 “Metabolic”, 15 “Genetic Information Processing”, 12 “Environmental Information Processing”, 3 “Cellular Processes”, 21 “Transport”, and 80 “Transcription Factors”. The quantitative data is loaded onto molecular networks, allowing the simultaneous visualization of changes in the transcriptome, proteome, and metabolome for a given experiment. CONCLUSIONS/SIGNIFICANCE: VitisNet uses manually annotated networks in SBML or XML format, enabling the integration of large datasets, streamlining biological functional processing, and improving the understanding of dynamic processes in systems biology experiments. VitisNet is grounded in the Vitis vinifera genome (currently at 8x coverage) and can be readily updated with subsequent updates of the genome or biochemical discoveries. The molecular network files can be dynamically searched by pathway name or individual genes, proteins, or metabolites through the MetNet Pathway database and web-portal at http://metnet3.vrac.iastate.edu/. All VitisNet files including the manual annotation of the grape genome encompassing pathway names, individual genes, their genome identifier, and chromosome location can be accessed and downloaded from the VitisNet tab at http://vitis-dormancy.sdstate.org. Public Library of Science 2009-12-21 /pmc/articles/PMC2791446/ /pubmed/20027228 http://dx.doi.org/10.1371/journal.pone.0008365 Text en Grimplet et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Grimplet, Jérôme Cramer, Grant R. Dickerson, Julie A. Mathiason, Kathy Van Hemert, John Fennell, Anne Y. VitisNet: “Omics” Integration through Grapevine Molecular Networks |
title | VitisNet: “Omics” Integration through Grapevine Molecular Networks |
title_full | VitisNet: “Omics” Integration through Grapevine Molecular Networks |
title_fullStr | VitisNet: “Omics” Integration through Grapevine Molecular Networks |
title_full_unstemmed | VitisNet: “Omics” Integration through Grapevine Molecular Networks |
title_short | VitisNet: “Omics” Integration through Grapevine Molecular Networks |
title_sort | vitisnet: “omics” integration through grapevine molecular networks |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2791446/ https://www.ncbi.nlm.nih.gov/pubmed/20027228 http://dx.doi.org/10.1371/journal.pone.0008365 |
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