ArticleProceedings of the National Academy of Sciences of the United States of America2014
High-throughput comparison, functional annotation, and metabolic modeling of plant genomes using the PlantSEED resource.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed.
- Charting the state of GEMs in microalgae: progress, challenges, and innovations.Frontiers in plant science · 2025Review
- Development and applications of metabolic models in plant multi-omics research.Frontiers in plant science · 2024Review
- The Biomedical Importance of the Missing Pathway for Farnesol and Geranylgeraniol Salvage.Molecules (Basel, Switzerland) · 2022Review
- Exploring synergies between plant metabolic modelling and machine learning.Computational and structural biotechnology journal · 2022Review
- Protocol for hybrid flux balance, statistical, and machine learning analysis of multi-omic data from the cyanobacteriumSTAR protocols · 2021Article
- Path to improving the life cycle and quality of genome-scale models of metabolism.Cell systems · 2021Review
- Publishing reproducible dynamic kinetic models.Briefings in bioinformatics · 2021Article
- Environment-coupled models of leaf metabolism.Biochemical Society transactions · 2021Review
- The ModelSEED Biochemistry Database for the integration of metabolic annotations and the reconstruction, comparison and analysis of metabolic models for plants, fungi and microbes.Nucleic acids research · 2021Article
- Current status and applications of genome-scale metabolic models.Genome biology · 2019Review
- A Bioinformatics Guide to Plant Microbiome Analysis.Frontiers in plant science · 2019Review
- Integration of large-scale data for extraction of integrated Arabidopsis root cell-type specific models.Scientific reports · 2018Article
- Confronting the catalytic dark matter encoded by sequenced genomes.Nucleic acids research · 2017Article
- Resolving the central metabolism of Arabidopsis guard cells.Scientific reports · 2017Article
- Thermodynamic Constraints Improve Metabolic Networks.Biophysical journal · 2017Article
- Genome-Wide Prediction of Metabolic Enzymes, Pathways, and Gene Clusters in Plants.Plant physiology · 2017Article
- Seqping: gene prediction pipeline for plant genomes using self-training gene models and transcriptomic data.BMC bioinformatics · 2017Article
- Sugarcane Mosaic Virus-Based Gene Silencing inIranian journal of biotechnology · 2017Article
- Reverse Genetics and High Throughput Sequencing Methodologies for Plant Functional Genomics.Current genomics · 2016Article
- Computational Tools for Genomic Studies in Plants.Current genomics · 2016Article
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18 authors.
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Abstract
The increasing number of sequenced plant genomes is placing new demands on the methods applied to analyze, annotate, and model these genomes. Today's annotation pipelines result in inconsistent gene assignments that complicate comparative analyses and prevent efficient construction of metabolic models. To overcome these problems, we have developed the PlantSEED, an integrated, metabolism-centric database to support subsystems-based annotation and metabolic model reconstruction for plant genomes. PlantSEED combines SEED subsystems technology, first developed for microbial genomes, with refined protein families and biochemical data to assign fully consistent functional annotations to orthologous genes, particularly those encoding primary metabolic pathways. Seamless integration with its parent, the prokaryotic SEED database, makes PlantSEED a unique environment for cross-kingdom comparative analysis of plant and bacterial genomes. The consistent annotations imposed by PlantSEED permit rapid reconstruction and modeling of primary metabolism for all plant genomes in the database. This feature opens the unique possibility of model-based assessment of the completeness and accuracy of gene annotation and thus allows computational identification of genes and pathways that are restricted to certain genomes or need better curation. We demonstrate the PlantSEED system by producing consistent annotations for 10 reference genomes. We also produce a functioning metabolic model for each genome, gapfilling to identify missing annotations and proposing gene candidates for missing annotations. Models are built around an extended biomass composition representing the most comprehensive published to date. To our knowledge, our models are the first to be published for seven of the genomes analyzed.
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