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ARS Home » Northeast Area » Ithaca, New York » Robert W. Holley Center for Agriculture & Health » Plant, Soil and Nutrition Research » Research » Publications at this Location » Publication #374818

Research Project: Mapping Crop Genome Functions for Biology-Enabled Germplasm Improvement

Location: Plant, Soil and Nutrition Research

Title: Plant Reactome: a knowledgebase and resource for comparative pathway analysis

Author
item NAITHANI, S. - Oregon State University
item GUPTA, P. - Oregon State University
item PREECE, J. - Oregon State University
item D'EUSTACHIO, P. - New York University School Of Medicine
item ELSER, J. - Oregon State University
item GARG, P. - Oregon State University
item DIKEMAN, D. - Oregon State University
item KIFF, J. - Oregon State University
item COOK, J. - Ontario Cancer Institute
item OLSON, A. - Cold Spring Harbor Laboratory
item WEI, S. - Cold Spring Harbor Laboratory
item TELLO-RUIZ, M. - Cold Spring Harbor Laboratory
item MUNDO, A. - European Bioinformatics Institute
item MUNOZ-POMER, A. - European Bioinformatics Institute
item MOHAMMED, S. - European Bioinformatics Institute
item CHENG, T. - National Center For Biotechnology Information (NCBI)
item BOLTON, E. - National Center For Biotechnology Information (NCBI)
item PAPATHEODOROU, I. - European Bioinformatics Institute
item STEIN, L. - Ontario Cancer Institute
item Ware, Doreen
item JAISWAL, P. - Oregon State University

Submitted to: Nucleic Acids Research
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 10/14/2019
Publication Date: 1/8/2020
Citation: Naithani, S., Gupta, P., Preece, J., D'Eustachio, P., Elser, J.L., Garg, P., Dikeman, D.A., Kiff, J., Cook, J., Olson, A., Wei, S., Tello-Ruiz, M.K., Mundo, A.F., Munoz-Pomer, A., Mohammed, S., Cheng, T., Bolton, E., Papatheodorou, I., Stein, L., Ware, D., Jaiswal, P. 2020. Plant Reactome: a knowledgebase and resource for comparative pathway analysis. Nucleic Acids Research. 48(D1):D1093-D1103. https://doi.org/10.1093/nar/gkz996.
DOI: https://doi.org/10.1093/nar/gkz996

Interpretive Summary: A pathway is a series of chemical reactions that are important in the maintenance of a stable environment for a living organism. This article describes a new computational resource, Plant Reactome, that allows users to visualize and analyze plant pathways and gene expression data, in a holistic and comparative manner. This resource includes 222 manually curated rice pathways and computational projections to 62 other model crops and economically important plant species like Arabidopsis, maize, and sorghum. Users can visualize, upload and analyze their own transcript expression, as well as curated baseline expression of pathway-associated genes provided by the Expression Atlas project. Together with the genome data hosted at the Gramene website, the pathway data in Plant Reactome serve as a reference resource for comparative analyses for the broad scientific community, and supports basic and translational research, which ultimately impact societal issues, such as food security, energy production, and climate change.

Technical Abstract: Plant Reactome (https://plantreactome.gramene.org) is an open-source, comparative plant pathway knowledgebase of the Gramene project. It uses Oryza sativa (rice) as a reference species for manual curation of pathways and extends pathway knowledge to another 82 plant species via gene-orthology projection using the Reactome data model and framework. It currently hosts 298 reference pathways, including metabolic and transport pathways, transcriptional networks, hormone signaling pathways, and plant developmental processes. In addition to browsing plant pathways, users can upload and analyze their omics data, such as the gene-expression data, and overlay curated or experimental gene-gene interaction data to extend pathway knowledge. The curation team actively engages researchers and students on gene and pathway curation by offering workshops and online tutorials. The Plant Reactome supports, implements and collaborates with the wider community to make data and tools related to genes, genomes, and pathways Findable, Accessible, Interoperable and Re-usable (FAIR).