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Gupta P, Elser J, Hooks E, D’Eustachio P, Jaiswal P, Naithani S. Plant Reactome Knowledgebase: empowering plant pathway exploration and OMICS data analysis. Nucleic Acids Res 2024; 52:D1538-D1547. [PMID: 37986220 PMCID: PMC10767815 DOI: 10.1093/nar/gkad1052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Revised: 10/20/2023] [Accepted: 10/23/2023] [Indexed: 11/22/2023] Open
Abstract
Plant Reactome (https://plantreactome.gramene.org) is a freely accessible, comprehensive plant pathway knowledgebase. It provides curated reference pathways from rice (Oryza sativa) and gene-orthology-based pathway projections to 129 additional species, spanning single-cell photoautotrophs, non-vascular plants, and higher plants, thus encompassing a wide-ranging taxonomic diversity. Currently, Plant Reactome houses a collection of 339 reference pathways, covering metabolic and transport pathways, hormone signaling, genetic regulations of developmental processes, and intricate transcriptional networks that orchestrate a plant's response to abiotic and biotic stimuli. Beyond being a mere repository, Plant Reactome serves as a dynamic data discovery platform. Users can analyze and visualize omics data, such as gene expression, gene-gene interaction, proteome, and metabolome data, all within the rich context of plant pathways. Plant Reactome is dedicated to fostering data interoperability, upholding global data standards, and embracing the tenets of the Findable, Accessible, Interoperable and Re-usable (FAIR) data policy.
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Affiliation(s)
- Parul Gupta
- Department of Botany & Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Justin Elser
- Department of Botany & Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Elizabeth Hooks
- Department of Botany & Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | | | - Pankaj Jaiswal
- Department of Botany & Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Sushma Naithani
- Department of Botany & Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
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Cooper L, Elser J, Laporte MA, Arnaud E, Jaiswal P. Planteome 2024 Update: Reference Ontologies and Knowledgebase for Plant Biology. Nucleic Acids Res 2024; 52:D1548-D1555. [PMID: 38055832 PMCID: PMC10767901 DOI: 10.1093/nar/gkad1028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Revised: 10/14/2023] [Accepted: 10/23/2023] [Indexed: 12/08/2023] Open
Abstract
The Planteome project (https://planteome.org/) provides a suite of reference and crop-specific ontologies and an integrated knowledgebase of plant genomics data. The plant genomics data in the Planteome has been obtained through manual and automated curation and sourced from more than 40 partner databases and resources. Here, we report on updates to the Planteome reference ontologies, namely, the Plant Ontology (PO), Trait Ontology (TO), the Plant Experimental Conditions Ontology (PECO), and integration of species/crop-specific vocabularies from our partners, the Crop Ontology (CO) into the TO ontology graph. Currently, 11 CO vocabularies are integrated into the Planteome with the addition of yam, sorghum, and potato since 2018. In addition, the size of the annotation database has increased by 34%, and the number of bioentities (genes, proteins, etc.) from 125 plant taxa has increased by 72%. We developed new tools to facilitate user requests and improvements to the CO vocabularies, and to allow fast searching and browsing of PO terms and definitions. These enhancements and future changes to automate the TO-CO mappings and knowledge discovery tools ensure that the Planteome will continue to be a valuable resource for plant biology.
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Affiliation(s)
- Laurel Cooper
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Justin Elser
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | | | - Elizabeth Arnaud
- Digital Inclusion, Biodiversity International, 34397 Montpellier, France
| | - Pankaj Jaiswal
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
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Gupta P, Geniza M, Elser J, Al-Bader N, Baschieri R, Phillips JL, Haq E, Preece J, Naithani S, Jaiswal P. Reference genome of the nutrition-rich orphan crop chia ( Salvia hispanica) and its implications for future breeding. Front Plant Sci 2023; 14:1272966. [PMID: 38162307 PMCID: PMC10757625 DOI: 10.3389/fpls.2023.1272966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 10/23/2023] [Indexed: 01/03/2024]
Abstract
Chia (Salvia hispanica L.) is one of the most popular nutrition-rich foods and pseudocereal crops of the family Lamiaceae. Chia seeds are a rich source of proteins, polyunsaturated fatty acids (PUFAs), dietary fibers, and antioxidants. In this study, we present the assembly of the chia reference genome, which spans 303.6 Mb and encodes 48,090 annotated protein-coding genes. Our analysis revealed that ~42% of the chia genome harbors repetitive content, and identified ~3 million single nucleotide polymorphisms (SNPs) and 15,380 simple sequence repeat (SSR) marker sites. By investigating the chia transcriptome, we discovered that ~44% of the genes undergo alternative splicing with a higher frequency of intron retention events. Additionally, we identified chia genes associated with important nutrient content and quality traits, such as the biosynthesis of PUFAs and seed mucilage fiber (dietary fiber) polysaccharides. Notably, this is the first report of in-silico annotation of a plant genome for protein-derived small bioactive peptides (biopeptides) associated with improving human health. To facilitate further research and translational applications of this valuable orphan crop, we have developed the Salvia genomics database (SalviaGDB), accessible at https://salviagdb.org.
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Affiliation(s)
- Parul Gupta
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, United States
| | - Matthew Geniza
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, United States
- Molecular and Cellular Biology Graduate Program, Oregon State University, Corvallis, OR, United States
| | - Justin Elser
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, United States
| | - Noor Al-Bader
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, United States
- Molecular and Cellular Biology Graduate Program, Oregon State University, Corvallis, OR, United States
| | - Rachel Baschieri
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, United States
| | - Jeremy Levi Phillips
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, United States
| | - Ebaad Haq
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, United States
| | - Justin Preece
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, United States
| | - Sushma Naithani
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, United States
| | - Pankaj Jaiswal
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, United States
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Naithani S, Deng CH, Sahu SK, Jaiswal P. Exploring Pan-Genomes: An Overview of Resources and Tools for Unraveling Structure, Function, and Evolution of Crop Genes and Genomes. Biomolecules 2023; 13:1403. [PMID: 37759803 PMCID: PMC10527062 DOI: 10.3390/biom13091403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 08/29/2023] [Accepted: 09/12/2023] [Indexed: 09/29/2023] Open
Abstract
The availability of multiple sequenced genomes from a single species made it possible to explore intra- and inter-specific genomic comparisons at higher resolution and build clade-specific pan-genomes of several crops. The pan-genomes of crops constructed from various cultivars, accessions, landraces, and wild ancestral species represent a compendium of genes and structural variations and allow researchers to search for the novel genes and alleles that were inadvertently lost in domesticated crops during the historical process of crop domestication or in the process of extensive plant breeding. Fortunately, many valuable genes and alleles associated with desirable traits like disease resistance, abiotic stress tolerance, plant architecture, and nutrition qualities exist in landraces, ancestral species, and crop wild relatives. The novel genes from the wild ancestors and landraces can be introduced back to high-yielding varieties of modern crops by implementing classical plant breeding, genomic selection, and transgenic/gene editing approaches. Thus, pan-genomic represents a great leap in plant research and offers new avenues for targeted breeding to mitigate the impact of global climate change. Here, we summarize the tools used for pan-genome assembly and annotations, web-portals hosting plant pan-genomes, etc. Furthermore, we highlight a few discoveries made in crops using the pan-genomic approach and future potential of this emerging field of study.
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Affiliation(s)
- Sushma Naithani
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA;
| | - Cecilia H. Deng
- Molecular & Digital Breeing Group, New Cultivar Innovation, The New Zealand Institute for Plant and Food Research Limited, Private Bag 92169, Auckland 1142, New Zealand;
| | - Sunil Kumar Sahu
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen 518083, China;
| | - Pankaj Jaiswal
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA;
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Al-Bader N, Meier A, Geniza M, Gongora YS, Oard J, Jaiswal P. Loss of a Premature Stop Codon in the Rice Wall-Associated Kinase 91 ( WAK91) Gene Is a Candidate for Improving Leaf Sheath Blight Disease Resistance. Genes (Basel) 2023; 14:1673. [PMID: 37761813 PMCID: PMC10530950 DOI: 10.3390/genes14091673] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 08/18/2023] [Accepted: 08/21/2023] [Indexed: 09/29/2023] Open
Abstract
Leaf sheath blight disease (SB) of rice caused by the soil-borne fungus Rhizoctonia solani results in 10-30% global yield loss annually and can reach 50% under severe outbreaks. Many disease resistance genes and receptor-like kinases (RLKs) are recruited early on by the host plant to respond to pathogens. Wall-associated receptor kinases (WAKs), a subfamily of receptor-like kinases, have been shown to play a role in fungal defense. The rice gene WAK91 (OsWAK91), co-located in the major SB resistance QTL region on chromosome 9, was identified by us as a candidate in defense against rice sheath blight. An SNP mutation T/C in the WAK91 gene was identified in the susceptible rice variety Cocodrie (CCDR) and the resistant line MCR010277 (MCR). The consequence of the resistant allele C is a stop codon loss, resulting in an open reading frame with extra 62 amino acid carrying a longer protein kinase domain and additional phosphorylation sites. Our genotype and phenotype analysis of the parents CCDR and MCR and the top 20 individuals of the double haploid SB population strongly correlate with the SNP. The susceptible allele T is present in the japonica subspecies and most tropical and temperate japonica lines. Multiple US commercial rice varieties with a japonica background carry the susceptible allele and are known for SB susceptibility. This discovery opens the possibility of introducing resistance alleles into high-yielding commercial varieties to reduce yield losses incurred by the sheath blight disease.
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Affiliation(s)
- Noor Al-Bader
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA; (N.A.-B.); (A.M.); (M.G.)
- Molecular and Cellular Biology Graduate Program, Oregon State University, Corvallis, OR 97331, USA
| | - Austin Meier
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA; (N.A.-B.); (A.M.); (M.G.)
| | - Matthew Geniza
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA; (N.A.-B.); (A.M.); (M.G.)
- Molecular and Cellular Biology Graduate Program, Oregon State University, Corvallis, OR 97331, USA
| | - Yamid Sanabria Gongora
- Louisiana State University Agricultural Center, Baton Rouge, LA 70803, USA; (Y.S.G.); (J.O.)
| | - James Oard
- Louisiana State University Agricultural Center, Baton Rouge, LA 70803, USA; (Y.S.G.); (J.O.)
| | - Pankaj Jaiswal
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA; (N.A.-B.); (A.M.); (M.G.)
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Thessen AE, Cooper L, Swetnam TL, Hegde H, Reese J, Elser J, Jaiswal P. Using knowledge graphs to infer gene expression in plants. Front Artif Intell 2023; 6:1201002. [PMID: 37384147 PMCID: PMC10298150 DOI: 10.3389/frai.2023.1201002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 05/23/2023] [Indexed: 06/30/2023] Open
Abstract
Introduction Climate change is already affecting ecosystems around the world and forcing us to adapt to meet societal needs. The speed with which climate change is progressing necessitates a massive scaling up of the number of species with understood genotype-environment-phenotype (G×E×P) dynamics in order to increase ecosystem and agriculture resilience. An important part of predicting phenotype is understanding the complex gene regulatory networks present in organisms. Previous work has demonstrated that knowledge about one species can be applied to another using ontologically-supported knowledge bases that exploit homologous structures and homologous genes. These types of structures that can apply knowledge about one species to another have the potential to enable the massive scaling up that is needed through in silico experimentation. Methods We developed one such structure, a knowledge graph (KG) using information from Planteome and the EMBL-EBI Expression Atlas that connects gene expression, molecular interactions, functions, and pathways to homology-based gene annotations. Our preliminary analysis uses data from gene expression studies in Arabidopsis thaliana and Populus trichocarpa plants exposed to drought conditions. Results A graph query identified 16 pairs of homologous genes in these two taxa, some of which show opposite patterns of gene expression in response to drought. As expected, analysis of the upstream cis-regulatory region of these genes revealed that homologs with similar expression behavior had conserved cis-regulatory regions and potential interaction with similar trans-elements, unlike homologs that changed their expression in opposite ways. Discussion This suggests that even though the homologous pairs share common ancestry and functional roles, predicting expression and phenotype through homology inference needs careful consideration of integrating cis and trans-regulatory components in the curated and inferred knowledge graph.
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Affiliation(s)
- Anne E. Thessen
- Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Laurel Cooper
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, United States
| | - Tyson L. Swetnam
- BIO5 Institute, University of Arizona, Tucson, AZ, United States
| | - Harshad Hegde
- Environmental Genomics and Systems Biology Division, Berkeley Lab (DOE), Berkeley, CA, United States
| | - Justin Reese
- Environmental Genomics and Systems Biology Division, Berkeley Lab (DOE), Berkeley, CA, United States
| | - Justin Elser
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, United States
| | - Pankaj Jaiswal
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, United States
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Naithani S, Mohanty B, Elser J, D'Eustachio P, Jaiswal P. Biocuration of a Transcription Factors Network Involved in Submergence Tolerance during Seed Germination and Coleoptile Elongation in Rice ( Oryza sativa). Plants (Basel) 2023; 12:plants12112146. [PMID: 37299125 DOI: 10.3390/plants12112146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 05/19/2023] [Accepted: 05/23/2023] [Indexed: 06/12/2023]
Abstract
Modeling biological processes and genetic-regulatory networks using in silico approaches provides a valuable framework for understanding how genes and associated allelic and genotypic differences result in specific traits. Submergence tolerance is a significant agronomic trait in rice; however, the gene-gene interactions linked with this polygenic trait remain largely unknown. In this study, we constructed a network of 57 transcription factors involved in seed germination and coleoptile elongation under submergence. The gene-gene interactions were based on the co-expression profiles of genes and the presence of transcription factor binding sites in the promoter region of target genes. We also incorporated published experimental evidence, wherever available, to support gene-gene, gene-protein, and protein-protein interactions. The co-expression data were obtained by re-analyzing publicly available transcriptome data from rice. Notably, this network includes OSH1, OSH15, OSH71, Sub1B, ERFs, WRKYs, NACs, ZFP36, TCPs, etc., which play key regulatory roles in seed germination, coleoptile elongation and submergence response, and mediate gravitropic signaling by regulating OsLAZY1 and/or IL2. The network of transcription factors was manually biocurated and submitted to the Plant Reactome Knowledgebase to make it publicly accessible. We expect this work will facilitate the re-analysis/re-use of OMICs data and aid genomics research to accelerate crop improvement.
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Affiliation(s)
- Sushma Naithani
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Bijayalaxmi Mohanty
- NUS Environmental Research Institute, National University of Singapore, Singapore 117411, Singapore
| | - Justin Elser
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Peter D'Eustachio
- Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Pankaj Jaiswal
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
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Aleksander SA, Balhoff J, Carbon S, Cherry JM, Drabkin HJ, Ebert D, Feuermann M, Gaudet P, Harris NL, Hill DP, Lee R, Mi H, Moxon S, Mungall CJ, Muruganugan A, Mushayahama T, Sternberg PW, Thomas PD, Van Auken K, Ramsey J, Siegele DA, Chisholm RL, Fey P, Aspromonte MC, Nugnes MV, Quaglia F, Tosatto S, Giglio M, Nadendla S, Antonazzo G, Attrill H, Dos Santos G, Marygold S, Strelets V, Tabone CJ, Thurmond J, Zhou P, Ahmed SH, Asanitthong P, Luna Buitrago D, Erdol MN, Gage MC, Ali Kadhum M, Li KYC, Long M, Michalak A, Pesala A, Pritazahra A, Saverimuttu SCC, Su R, Thurlow KE, Lovering RC, Logie C, Oliferenko S, Blake J, Christie K, Corbani L, Dolan ME, Drabkin HJ, Hill DP, Ni L, Sitnikov D, Smith C, Cuzick A, Seager J, Cooper L, Elser J, Jaiswal P, Gupta P, Jaiswal P, Naithani S, Lera-Ramirez M, Rutherford K, Wood V, De Pons JL, Dwinell MR, Hayman GT, Kaldunski ML, Kwitek AE, Laulederkind SJF, Tutaj MA, Vedi M, Wang SJ, D'Eustachio P, Aimo L, Axelsen K, Bridge A, Hyka-Nouspikel N, Morgat A, Aleksander SA, Cherry JM, Engel SR, Karra K, Miyasato SR, Nash RS, Skrzypek MS, Weng S, Wong ED, Bakker E, Berardini TZ, Reiser L, Auchincloss A, Axelsen K, Argoud-Puy G, Blatter MC, Boutet E, Breuza L, Bridge A, Casals-Casas C, Coudert E, Estreicher A, Livia Famiglietti M, Feuermann M, Gos A, Gruaz-Gumowski N, Hulo C, Hyka-Nouspikel N, Jungo F, Le Mercier P, Lieberherr D, Masson P, Morgat A, Pedruzzi I, Pourcel L, Poux S, Rivoire C, Sundaram S, Bateman A, Bowler-Barnett E, Bye-A-Jee H, Denny P, Ignatchenko A, Ishtiaq R, Lock A, Lussi Y, Magrane M, Martin MJ, Orchard S, Raposo P, Speretta E, Tyagi N, Warner K, Zaru R, Diehl AD, Lee R, Chan J, Diamantakis S, Raciti D, Zarowiecki M, Fisher M, James-Zorn C, Ponferrada V, Zorn A, Ramachandran S, Ruzicka L, Westerfield M. The Gene Ontology knowledgebase in 2023. Genetics 2023; 224:iyad031. [PMID: 36866529 PMCID: PMC10158837 DOI: 10.1093/genetics/iyad031] [Citation(s) in RCA: 218] [Impact Index Per Article: 218.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 02/10/2023] [Accepted: 02/11/2023] [Indexed: 03/04/2023] Open
Abstract
The Gene Ontology (GO) knowledgebase (http://geneontology.org) is a comprehensive resource concerning the functions of genes and gene products (proteins and noncoding RNAs). GO annotations cover genes from organisms across the tree of life as well as viruses, though most gene function knowledge currently derives from experiments carried out in a relatively small number of model organisms. Here, we provide an updated overview of the GO knowledgebase, as well as the efforts of the broad, international consortium of scientists that develops, maintains, and updates the GO knowledgebase. The GO knowledgebase consists of three components: (1) the GO-a computational knowledge structure describing the functional characteristics of genes; (2) GO annotations-evidence-supported statements asserting that a specific gene product has a particular functional characteristic; and (3) GO Causal Activity Models (GO-CAMs)-mechanistic models of molecular "pathways" (GO biological processes) created by linking multiple GO annotations using defined relations. Each of these components is continually expanded, revised, and updated in response to newly published discoveries and receives extensive QA checks, reviews, and user feedback. For each of these components, we provide a description of the current contents, recent developments to keep the knowledgebase up to date with new discoveries, and guidance on how users can best make use of the data that we provide. We conclude with future directions for the project.
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Barker R, Kruse CPS, Johnson C, Saravia-Butler A, Fogle H, Chang HS, Trane RM, Kinscherf N, Villacampa A, Manzano A, Herranz R, Davin LB, Lewis NG, Perera I, Wolverton C, Gupta P, Jaiswal P, Reinsch SS, Wyatt S, Gilroy S. Meta-analysis of the space flight and microgravity response of the Arabidopsis plant transcriptome. NPJ Microgravity 2023; 9:21. [PMID: 36941263 PMCID: PMC10027818 DOI: 10.1038/s41526-023-00247-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 01/10/2023] [Indexed: 03/23/2023] Open
Abstract
Spaceflight presents a multifaceted environment for plants, combining the effects on growth of many stressors and factors including altered gravity, the influence of experiment hardware, and increased radiation exposure. To help understand the plant response to this complex suite of factors this study compared transcriptomic analysis of 15 Arabidopsis thaliana spaceflight experiments deposited in the National Aeronautics and Space Administration's GeneLab data repository. These data were reanalyzed for genes showing significant differential expression in spaceflight versus ground controls using a single common computational pipeline for either the microarray or the RNA-seq datasets. Such a standardized approach to analysis should greatly increase the robustness of comparisons made between datasets. This analysis was coupled with extensive cross-referencing to a curated matrix of metadata associated with these experiments. Our study reveals that factors such as analysis type (i.e., microarray versus RNA-seq) or environmental and hardware conditions have important confounding effects on comparisons seeking to define plant reactions to spaceflight. The metadata matrix allows selection of studies with high similarity scores, i.e., that share multiple elements of experimental design, such as plant age or flight hardware. Comparisons between these studies then helps reduce the complexity in drawing conclusions arising from comparisons made between experiments with very different designs.
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Affiliation(s)
- Richard Barker
- Department of Botany, University of Wisconsin, Madison, WI, 53706, USA
| | - Colin P S Kruse
- Los Alamos National Laboratory, Bioscience Division, Los Alamos, NM, 87545, USA
| | | | - Amanda Saravia-Butler
- Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA, 94035, USA
- Logyx, LLC, Mountain View, CA, 94043, USA
| | - Homer Fogle
- Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA, 94035, USA
- Bionetics, Yorktown, VA, 23693, USA
| | - Hyun-Seok Chang
- Department of Botany, University of Wisconsin, Madison, WI, 53706, USA
| | - Ralph Møller Trane
- Department of Statistics, University of Wisconsin, Madison, WI, 53706, USA
| | - Noah Kinscherf
- Department of Botany, University of Wisconsin, Madison, WI, 53706, USA
| | - Alicia Villacampa
- Centro de Investigaciones Biológicas Margarita Salas (CSIC), 28040, Madrid, Spain
| | - Aránzazu Manzano
- Centro de Investigaciones Biológicas Margarita Salas (CSIC), 28040, Madrid, Spain
| | - Raúl Herranz
- Centro de Investigaciones Biológicas Margarita Salas (CSIC), 28040, Madrid, Spain
| | - Laurence B Davin
- Institute of Biological Chemistry, Washington State University, Pullman, WA, 99164-741, USA
| | - Norman G Lewis
- Institute of Biological Chemistry, Washington State University, Pullman, WA, 99164-741, USA
| | - Imara Perera
- Department of Plant and Microbial Biology, North Carolina State University, Raleigh, NC, 27695, USA
| | - Chris Wolverton
- Department of Botany and Microbiology, Ohio Wesleyan University, Delaware, OH, 43015, USA
| | - Parul Gupta
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, 97331, USA
| | - Pankaj Jaiswal
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, 97331, USA
| | - Sigrid S Reinsch
- Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA, 94035, USA
| | - Sarah Wyatt
- Department of Environmental and Plant Biology, Ohio University, Athens, OH, 45701, USA
| | - Simon Gilroy
- Department of Botany, University of Wisconsin, Madison, WI, 53706, USA.
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Oh GY, Gibson M, Khanom S, Jaiswal P, Patel A. Validating low-fidelity arthroscopic simulation in medical students: a feasibility trial. Ann R Coll Surg Engl 2023; 105:28-34. [PMID: 35446721 PMCID: PMC9773295 DOI: 10.1308/rcsann.2022.0008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/05/2022] [Indexed: 12/24/2022] Open
Abstract
INTRODUCTION With surgical opportunities becoming increasingly restricted for orthopaedic trainees, simulation training is a valuable alternative at providing sufficient practice. This pilot study aims to assess the potential effectiveness of low-fidelity simulation in teaching medical students basic arthroscopic skills and the feasibility of its incorporation into formal student training programmes. METHODS Twenty-two medical students completed pre- and post-training tests on the Probing (Task 1) and Maze (Task 2) exercises from the Sawbones 'Fundamentals of Arthroscopy Surgery Training' (FAST) programme. Training consisted of practising horizon control, deliberate linear motion and probing within 25min over a period of days. Completion time and error frequency were measured. The difference in performance was assessed using a paired two-tailed t-test. Qualitative data were collected. RESULTS Test completion time decreased significantly by a mean of 83s (±46s, 95% confidence intervals [CI] 37 to 129) for Task 1 (p=0.001) and 105s (±55s, 95% CI 50 to 160) for Task 2 (p=0.0007). Frequency of direct visualisation errors decreased significantly by a mean of 1.0 errors (±1.0 errors, 95% CI 0.1 to 2.0) for Task 1 (p = 0.04) and 0.8 errors (±0.8 errors, 95% CI 0.1 to 1.6) for Task 2 (p = 0.04). At post-training, 82% of participants were willing to incorporate FAST into formal training. CONCLUSIONS Low-fidelity simulators such as FAST can potentially teach basic arthroscopic skills to medical students and are feasible for incorporation into formal training. They also give students a cost-effective and safe basic surgical training experience.
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Affiliation(s)
- GY Oh
- University College London (UCL), UK
| | - M Gibson
- Royal Free London NHS Foundation Trust, UK
| | - S Khanom
- Royal Free London NHS Foundation Trust, UK
| | - P Jaiswal
- Royal Free London NHS Foundation Trust, UK
| | - A Patel
- Royal Free London NHS Foundation Trust, UK
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11
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Gao Y, Liu X, Jin Y, Wu J, Li S, Li Y, Chen B, Zhang Y, Wei L, Li W, Li R, Lin C, Reddy ASN, Jaiswal P, Gu L. Drought induces epitranscriptome and proteome changes in stem-differentiating xylem of Populus trichocarpa. Plant Physiol 2022; 190:459-479. [PMID: 35670753 PMCID: PMC9434199 DOI: 10.1093/plphys/kiac272] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Accepted: 05/11/2022] [Indexed: 05/25/2023]
Abstract
Understanding gene expression and regulation requires insights into RNA transcription, processing, modification, and translation. However, the relationship between the epitranscriptome and the proteome under drought stress remains undetermined in poplar (Populus trichocarpa). In this study, we used Nanopore direct RNA sequencing and tandem mass tag-based proteomic analysis to examine epitranscriptomic and proteomic regulation induced by drought treatment in stem-differentiating xylem (SDX). Our results revealed a decreased full-length read ratio under drought treatment and, especially, a decreased association between transcriptome and proteome changes in response to drought. Epitranscriptome analysis of cellulose- and lignin-related genes revealed an increased N6-Methyladenosine (m6A) ratio, which was accompanied by decreased RNA abundance and translation, under drought stress. Interestingly, usage of the distal poly(A) site increased during drought stress. Finally, we found that transcripts of highly expressed genes tend to have shorter poly(A) tail length (PAL), and drought stress increased the percentage of transcripts with long PAL. These findings provide insights into the interplay among m6A, polyadenylation, PAL, and translation under drought stress in P. trichocarpa SDX.
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Affiliation(s)
| | | | - Yandong Jin
- College of Forestry, Basic Forestry and Proteomics Research Center, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Ji Wu
- College of Forestry, Basic Forestry and Proteomics Research Center, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Shuang Li
- State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin 150040, China
| | - Yaxing Li
- Basic Forestry and Proteomics Research Center, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Binqing Chen
- Basic Forestry and Proteomics Research Center, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Yaxin Zhang
- College of Forestry, Basic Forestry and Proteomics Research Center, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Linxiao Wei
- College of Forestry, Basic Forestry and Proteomics Research Center, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Wei Li
- State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin 150040, China
| | - Ruili Li
- National Engineering Research Center of Tree Breeding and Ecological Restoration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China
| | - Chentao Lin
- Department of Molecular, Cell and Developmental Biology, University of California, Los Angeles, California 90095, USA
| | - Anireddy S N Reddy
- Department of Biology and Program in Cell and Molecular Biology, Colorado State University, Fort Collins, Colorado, USA
| | - Pankaj Jaiswal
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, Oregon, USA
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12
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Samoutis A, Lee MH, Patel A, Jaiswal P. O099 Position and number of anchors in hip arthroscopy labrum repair: a systematic review. Br J Surg 2022. [DOI: 10.1093/bjs/znac242.099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Abstract
Introduction
Hip labral tears are reported in 22–55% of patients with hip or groin pain. Operative treatment is necessary for most cases, via hip arthroscopy with the use of suture anchors. This systematic review aims to determine the optimal number and position of anchors in hip labral repair.
Methods
Pubmed, Ovid & Embase were searched, and 2 researchers independently screened the 1,304 results. Outcome measures such as procedures performed, number & (clockface) position of anchors, failure & articular involvement of anchors were extracted.
Results
5 studies were included in the analysis: 1 Cross-Sectional Study (1645 Hips, mean age (MA):33.7 years), 3 Retrospective case studies (491 hips, MA:31.0) and 1 Controlled Cadaveric study (32 cadaveric hips, MA:62.7). Chi-squared statistical analysis of 323 hips found a significant difference (X2 (2, N = 323) = 17.88, p < .001) in the risk of articular involvement with the position of anchors at 11°-12° o’clock, 1°-2° and 3°-4°. There is an absolute risk reduction (ARR) of 19% with anchors positioned at 11°-12° compared to anchors positioned at 3°-4° (X2 (1, N=178) =15.79, p < .001) and an ARR of 12% with anchors at 1°-2° compared to anchors positioned at 3°-4° (X2 (1, N = 237) = 15.79, p < .0109). Additionally, by assessing 1645 operations it was found that for tears spanning >2 hours, a minimum of 2 anchors was placed.
Conclusion
Placement of anchors in the 3°-4° o’clock position carries the highest risk for articular involvement. Small diameter anchors and careful placement can be used to minimize articular injury. Preferable positions of anchors are 11°-12°, furthermore, for tears spanning over 2 hours, a minimum of 2 anchors was placed.
Take-home message
In Hip Arthroscopy labral repair, placement of anchors in the 3°-4° o’clock position carries the highest risk for articular involvement. Small diameter anchors and 2 hours. flexible anchor instrumentation can be used to minimize articular injury, furthermore, for tears spanning over 2 hours, a minimum of 2 anchors was placed.
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Abstract
Gramene is an integrated bioinformatics resource for accessing, visualizing, and comparing plant genomes and biological pathways. Originally targeting grasses, Gramene has grown to host annotations for over 90 plant genomes including agronomically important cereals (e.g., maize, sorghum, wheat, teff), fruits and vegetables (e.g., apple, watermelon, clementine, tomato, cassava), specialty crops (e.g., coffee, olive tree, pistachio, almond), and plants of special or emerging interest (e.g., cotton, tobacco, cannabis, or hemp). For some species, the resource includes multiple varieties of the same species, which has paved the road for the creation of species-specific pan-genome browsers. The resource also features plant research models, including Arabidopsis and C4 warm-season grasses and brassicas, as well as other species that fill phylogenetic gaps for plant evolution studies. Its strength derives from the application of a phylogenetic framework for genome comparison and the use of ontologies to integrate structural and functional annotation data. This chapter outlines system requirements for end-users and database hosting, data types and basic navigation within Gramene, and provides examples of how to (1) explore Gramene's search results, (2) explore gene-centric comparative genomics data visualizations in Gramene, and (3) explore genetic variation associated with a gene locus. This is the first publication describing in detail Gramene's integrated search interface-intended to provide a simplified entry portal for the resource's main data categories (genomic location, phylogeny, gene expression, pathways, and external references) to the most complete and up-to-date set of plant genome and pathway annotations.
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Affiliation(s)
| | - Pankaj Jaiswal
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, USA
| | - Doreen Ware
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA.
- USDA-ARS NAA Plant, Soil & Nutrition Laboratory Research Unit, Cornell University, Ithaca, NY, USA.
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14
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Gupta P, Naithani S, Preece J, Kim S, Cheng T, D'Eustachio P, Elser J, Bolton EE, Jaiswal P. Plant Reactome and PubChem: The Plant Pathway and (Bio)Chemical Entity Knowledgebases. Methods Mol Biol 2022; 2443:511-525. [PMID: 35037224 DOI: 10.1007/978-1-0716-2067-0_27] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Plant Reactome (https://plantreactome.gramene.org) and PubChem ( https://pubchem.ncbi.nlm.nih.gov ) are two reference data portals and resources for curated plant pathways, small molecules, metabolites, gene products, and macromolecular interactions. Plant Reactome knowledgebase, a conceptual plant pathway network, is built by biocuration and integrating (bio)chemical entities, gene products, and macromolecular interactions. It provides manually curated pathways for the reference species Oryza sativa (rice) and gene orthology-based projections that extend pathway knowledge to 106 plant species. Currently, it hosts 320 reference pathways for plant metabolism, hormone signaling, transport, genetic regulation, plant organ development and differentiation, and biotic and abiotic stress responses. In addition to the pathway browsing and search functions, the Plant Reactome provides the analysis tools for pathway comparison between reference and projected species, pathway enrichment in gene expression data, and overlay of gene-gene interaction data on pathways. PubChem, a popular reference database of (bio)chemical entities, provides information on small molecules and other types of chemical entities, such as siRNAs, miRNAs, lipids, carbohydrates, and chemically modified nucleotides. The data in PubChem is collected from hundreds of data sources, including Plant Reactome. This chapter provides a brief overview of the Plant Reactome and the PubChem knowledgebases, their association to other public resources providing accessory information, and how users can readily access the contents.
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Affiliation(s)
- Parul Gupta
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, USA
| | - Sushma Naithani
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, USA
| | - Justin Preece
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, USA
| | - Sunghwan Kim
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Tiejun Cheng
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | | | - Justin Elser
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, USA
| | - Evan E Bolton
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Pankaj Jaiswal
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, USA.
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15
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Yates AD, Allen J, Amode RM, Azov AG, Barba M, Becerra A, Bhai J, Campbell LI, Carbajo Martinez M, Chakiachvili M, Chougule K, Christensen M, Contreras-Moreira B, Cuzick A, Da Rin Fioretto L, Davis P, De Silva NH, Diamantakis S, Dyer S, Elser J, Filippi CV, Gall A, Grigoriadis D, Guijarro-Clarke C, Gupta P, Hammond-Kosack KE, Howe KL, Jaiswal P, Kaikala V, Kumar V, Kumari S, Langridge N, Le T, Luypaert M, Maslen GL, Maurel T, Moore B, Muffato M, Mushtaq A, Naamati G, Naithani S, Olson A, Parker A, Paulini M, Pedro H, Perry E, Preece J, Quinton-Tulloch M, Rodgers F, Rosello M, Ruffier M, Seager J, Sitnik V, Szpak M, Tate J, Tello-Ruiz MK, Trevanion SJ, Urban M, Ware D, Wei S, Williams G, Winterbottom A, Zarowiecki M, Finn RD, Flicek P. Ensembl Genomes 2022: an expanding genome resource for non-vertebrates. Nucleic Acids Res 2021; 50:D996-D1003. [PMID: 34791415 PMCID: PMC8728113 DOI: 10.1093/nar/gkab1007] [Citation(s) in RCA: 94] [Impact Index Per Article: 31.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 10/07/2021] [Accepted: 11/10/2021] [Indexed: 11/28/2022] Open
Abstract
Ensembl Genomes (https://www.ensemblgenomes.org) provides access to non-vertebrate genomes and analysis complementing vertebrate resources developed by the Ensembl project (https://www.ensembl.org). The two resources collectively present genome annotation through a consistent set of interfaces spanning the tree of life presenting genome sequence, annotation, variation, transcriptomic data and comparative analysis. Here, we present our largest increase in plant, metazoan and fungal genomes since the project's inception creating one of the world's most comprehensive genomic resources and describe our efforts to reduce genome redundancy in our Bacteria portal. We detail our new efforts in gene annotation, our emerging support for pangenome analysis, our efforts to accelerate data dissemination through the Ensembl Rapid Release resource and our new AlphaFold visualization. Finally, we present details of our future plans including updates on our integration with Ensembl, and how we plan to improve our support for the microbial research community. Software and data are made available without restriction via our website, online tools platform and programmatic interfaces (available under an Apache 2.0 license). Data updates are synchronised with Ensembl's release cycle.
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Affiliation(s)
- Andrew D Yates
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - James Allen
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Ridwan M Amode
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Andrey G Azov
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Matthieu Barba
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Andrés Becerra
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Jyothish Bhai
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Lahcen I Campbell
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Manuel Carbajo Martinez
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Marc Chakiachvili
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Kapeel Chougule
- Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA
| | - Mikkel Christensen
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Bruno Contreras-Moreira
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Alayne Cuzick
- Rothamsted Research, Department of Biointeractions and Crop Protection, Harpenden, Hertfordshire AL5 2JQ, UK
| | - Luca Da Rin Fioretto
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Paul Davis
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Nishadi H De Silva
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Stavros Diamantakis
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Sarah Dyer
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Justin Elser
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Carla V Filippi
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.,Instituto de Biotecnología, Centro de Investigaciones en Ciencias Veterinarias y Agronómicas (CICVyA), Instituto Nacional de Tecnología Agropecuaria (INTA); Instituto de Agrobiotecnología y Biología Molecular (IABIMO), INTA-CONICET Nicolas Repetto y Los Reseros s/n (1686), Hurlingham, Buenos Aires, Argentina.,Consejo Nacional de Investigaciones Científicas y Técnicas-CONICET, Ciudad Autónoma de Buenos Aires, Argentina
| | - Astrid Gall
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Dionysios Grigoriadis
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Cristina Guijarro-Clarke
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Parul Gupta
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Kim E Hammond-Kosack
- Rothamsted Research, Department of Biointeractions and Crop Protection, Harpenden, Hertfordshire AL5 2JQ, UK
| | - Kevin L Howe
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Pankaj Jaiswal
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Vinay Kaikala
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Vivek Kumar
- Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA
| | - Sunita Kumari
- Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA
| | - Nick Langridge
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Tuan Le
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Manuel Luypaert
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Gareth L Maslen
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Thomas Maurel
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Benjamin Moore
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Matthieu Muffato
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Aleena Mushtaq
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Guy Naamati
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Sushma Naithani
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Andrew Olson
- Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA
| | - Anne Parker
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Michael Paulini
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Helder Pedro
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Emily Perry
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Justin Preece
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Mark Quinton-Tulloch
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Faye Rodgers
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, UK
| | - Marc Rosello
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Magali Ruffier
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - James Seager
- Rothamsted Research, Department of Biointeractions and Crop Protection, Harpenden, Hertfordshire AL5 2JQ, UK
| | - Vasily Sitnik
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Michal Szpak
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - John Tate
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | | | - Stephen J Trevanion
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Martin Urban
- Rothamsted Research, Department of Biointeractions and Crop Protection, Harpenden, Hertfordshire AL5 2JQ, UK
| | - Doreen Ware
- Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA.,USDA ARS NAA Robert W. Holley Center for Agriculture and Health, Agricultural Research Service, Ithaca, NY 14853, USA
| | - Sharon Wei
- Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA
| | - Gary Williams
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Andrea Winterbottom
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Magdalena Zarowiecki
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Robert D Finn
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Paul Flicek
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
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16
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Gupta P, Geniza M, Naithani S, Phillips JL, Haq E, Jaiswal P. Chia ( Salvia hispanica) Gene Expression Atlas Elucidates Dynamic Spatio-Temporal Changes Associated With Plant Growth and Development. Front Plant Sci 2021; 12:667678. [PMID: 34354718 PMCID: PMC8330693 DOI: 10.3389/fpls.2021.667678] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Accepted: 06/09/2021] [Indexed: 06/12/2023]
Abstract
Chia (Salvia hispanica L.), now a popular superfood and a pseudocereal, is one of the richest sources of dietary nutrients such as protein, fiber, and polyunsaturated fatty acids (PUFAs). At present, the genomic and genetic information available in the public domain for this crop are scanty, which hinders an understanding of its growth and development and genetic improvement. We report an RNA-sequencing (RNA-Seq)-based comprehensive transcriptome atlas of Chia sampled from 13 tissue types covering vegetative and reproductive growth stages. We used ~355 million high-quality reads of total ~394 million raw reads from transcriptome sequencing to generate de novo reference transcriptome assembly and the tissue-specific transcript assemblies. After the quality assessment of the merged assemblies and implementing redundancy reduction methods, 82,663 reference transcripts were identified. About 65,587 of 82,663 transcripts were translated into 99,307 peptides, and we were successful in assigning InterPro annotations to 45,209 peptides and gene ontology (GO) terms to 32,638 peptides. The assembled transcriptome is estimated to have the complete sequence information for ~86% of the genes found in the Chia genome. Furthermore, the analysis of 53,200 differentially expressed transcripts (DETs) revealed their distinct expression patterns in Chia's vegetative and reproductive tissues; tissue-specific networks and developmental stage-specific networks of transcription factors (TFs); and the regulation of the expression of enzyme-coding genes associated with important metabolic pathways. In addition, we identified 2,411 simple sequence repeats (SSRs) as potential genetic markers from the transcripts. Overall, this study provides a comprehensive transcriptome atlas, and SSRs, contributing to building essential genomic resources to support basic research, genome annotation, functional genomics, and molecular breeding of Chia.
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Affiliation(s)
- Parul Gupta
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, United States
| | - Matthew Geniza
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, United States
- Molecular and Cellular Biology Graduate Program, Oregon State University, Corvallis, OR, United States
| | - Sushma Naithani
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, United States
| | - Jeremy L. Phillips
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, United States
| | - Ebaad Haq
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, United States
| | - Pankaj Jaiswal
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, United States
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17
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Warman C, Sullivan CM, Preece J, Buchanan ME, Vejlupkova Z, Jaiswal P, Fowler JE. A cost-effective maize ear phenotyping platform enables rapid categorization and quantification of kernels. Plant J 2021; 106:566-579. [PMID: 33476427 DOI: 10.1111/tpj.15166] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2020] [Revised: 12/30/2020] [Accepted: 01/13/2021] [Indexed: 06/12/2023]
Abstract
High-throughput phenotyping systems are powerful, dramatically changing our ability to document, measure, and detect biological phenomena. Here, we describe a cost-effective combination of a custom-built imaging platform and deep-learning-based computer vision pipeline. A minimal version of the maize (Zea mays) ear scanner was built with low-cost and readily available parts. The scanner rotates a maize ear while a digital camera captures a video of the surface of the ear, which is then digitally flattened into a two-dimensional projection. Segregating GFP and anthocyanin kernel phenotypes are clearly distinguishable in ear projections and can be manually annotated and analyzed using image analysis software. Increased throughput was attained by designing and implementing an automated kernel counting system using transfer learning and a deep learning object detection model. The computer vision model was able to rapidly assess over 390 000 kernels, identifying male-specific transmission defects across a wide range of GFP-marked mutant alleles. This includes a previously undescribed defect putatively associated with mutation of Zm00001d002824, a gene predicted to encode a vacuolar processing enzyme. Thus, by using this system, the quantification of transmission data and other ear and kernel phenotypes can be accelerated and scaled to generate large datasets for robust analyses.
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Affiliation(s)
- Cedar Warman
- Department of Botany & Plant Pathology, Oregon State University, Corvallis, Oregon, USA
| | - Christopher M Sullivan
- Center for Genome Research and Biocomputing, Oregon State University, Corvallis, Oregon, USA
| | - Justin Preece
- Department of Botany & Plant Pathology, Oregon State University, Corvallis, Oregon, USA
| | - Michaela E Buchanan
- Center for Genome Research and Biocomputing, Oregon State University, Corvallis, Oregon, USA
| | - Zuzana Vejlupkova
- Department of Botany & Plant Pathology, Oregon State University, Corvallis, Oregon, USA
| | - Pankaj Jaiswal
- Department of Botany & Plant Pathology, Oregon State University, Corvallis, Oregon, USA
| | - John E Fowler
- Department of Botany & Plant Pathology, Oregon State University, Corvallis, Oregon, USA
- Center for Genome Research and Biocomputing, Oregon State University, Corvallis, Oregon, USA
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18
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Warman C, Sullivan CM, Preece J, Buchanan ME, Vejlupkova Z, Jaiswal P, Fowler JE. A cost-effective maize ear phenotyping platform enables rapid categorization and quantification of kernels. Plant J 2021; 106:566-579. [PMID: 33476427 DOI: 10.1101/2020.07.12.199000] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2020] [Revised: 12/30/2020] [Accepted: 01/13/2021] [Indexed: 05/24/2023]
Abstract
High-throughput phenotyping systems are powerful, dramatically changing our ability to document, measure, and detect biological phenomena. Here, we describe a cost-effective combination of a custom-built imaging platform and deep-learning-based computer vision pipeline. A minimal version of the maize (Zea mays) ear scanner was built with low-cost and readily available parts. The scanner rotates a maize ear while a digital camera captures a video of the surface of the ear, which is then digitally flattened into a two-dimensional projection. Segregating GFP and anthocyanin kernel phenotypes are clearly distinguishable in ear projections and can be manually annotated and analyzed using image analysis software. Increased throughput was attained by designing and implementing an automated kernel counting system using transfer learning and a deep learning object detection model. The computer vision model was able to rapidly assess over 390 000 kernels, identifying male-specific transmission defects across a wide range of GFP-marked mutant alleles. This includes a previously undescribed defect putatively associated with mutation of Zm00001d002824, a gene predicted to encode a vacuolar processing enzyme. Thus, by using this system, the quantification of transmission data and other ear and kernel phenotypes can be accelerated and scaled to generate large datasets for robust analyses.
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Affiliation(s)
- Cedar Warman
- Department of Botany & Plant Pathology, Oregon State University, Corvallis, Oregon, USA
| | - Christopher M Sullivan
- Center for Genome Research and Biocomputing, Oregon State University, Corvallis, Oregon, USA
| | - Justin Preece
- Department of Botany & Plant Pathology, Oregon State University, Corvallis, Oregon, USA
| | - Michaela E Buchanan
- Center for Genome Research and Biocomputing, Oregon State University, Corvallis, Oregon, USA
| | - Zuzana Vejlupkova
- Department of Botany & Plant Pathology, Oregon State University, Corvallis, Oregon, USA
| | - Pankaj Jaiswal
- Department of Botany & Plant Pathology, Oregon State University, Corvallis, Oregon, USA
| | - John E Fowler
- Department of Botany & Plant Pathology, Oregon State University, Corvallis, Oregon, USA
- Center for Genome Research and Biocomputing, Oregon State University, Corvallis, Oregon, USA
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19
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Naithani S, Dikeman D, Garg P, Al-Bader N, Jaiswal P. Beyond gene ontology (GO): using biocuration approach to improve the gene nomenclature and functional annotation of rice S-domain kinase subfamily. PeerJ 2021; 9:e11052. [PMID: 33777532 PMCID: PMC7971086 DOI: 10.7717/peerj.11052] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Accepted: 02/11/2021] [Indexed: 12/13/2022] Open
Abstract
The S-domain subfamily of receptor-like kinases (SDRLKs) in plants is poorly characterized. Most members of this subfamily are currently assigned gene function based on the S-locus Receptor Kinase from Brassica that acts as the female determinant of self-incompatibility (SI). However, Brassica like SI mechanisms does not exist in most plants. Thus, automated Gene Ontology (GO) pipelines are not sufficient for functional annotation of SDRLK subfamily members and lead to erroneous association with the GO biological process of SI. Here, we show that manual bio-curation can help to correct and improve the gene annotations and association with relevant biological processes. Using publicly available genomic and transcriptome datasets, we conducted a detailed analysis of the expansion of the rice (Oryza sativa) SDRLK subfamily, the structure of individual genes and proteins, and their expression.The 144-member SDRLK family in rice consists of 82 receptor-like kinases (RLKs) (67 full-length, 15 truncated),12 receptor-like proteins, 14 SD kinases, 26 kinase-like and 10 GnK2 domain-containing kinases and RLKs. Except for nine genes, all other SDRLK family members are transcribed in rice, but they vary in their tissue-specific and stress-response expression profiles. Furthermore, 98 genes show differential expression under biotic stress and 98 genes show differential expression under abiotic stress conditions, but share 81 genes in common.Our analysis led to the identification of candidate genes likely to play important roles in plant development, pathogen resistance, and abiotic stress tolerance. We propose a nomenclature for 144 SDRLK gene family members based on gene/protein conserved structural features, gene expression profiles, and literature review. Our biocuration approach, rooted in the principles of findability, accessibility, interoperability and reusability, sets forth an example of how manual annotation of large-gene families can fill in the knowledge gap that exists due to the implementation of automated GO projections, thereby helping to improve the quality and contents of public databases.
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Affiliation(s)
- Sushma Naithani
- Botany and Plant Pathology, Oregon State University, Corvallis, OR, USA
| | - Daemon Dikeman
- Botany and Plant Pathology, Oregon State University, Corvallis, OR, USA
| | - Priyanka Garg
- Botany and Plant Pathology, Oregon State University, Corvallis, OR, USA
| | - Noor Al-Bader
- Botany and Plant Pathology, Oregon State University, Corvallis, OR, USA
| | - Pankaj Jaiswal
- Botany and Plant Pathology, Oregon State University, Corvallis, OR, USA
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20
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Padgitt-Cobb LK, Kingan SB, Wells J, Elser J, Kronmiller B, Moore D, Concepcion G, Peluso P, Rank D, Jaiswal P, Henning J, Hendrix DA. A draft phased assembly of the diploid Cascade hop (Humulus lupulus) genome. Plant Genome 2021; 14:e20072. [PMID: 33605092 DOI: 10.1002/tpg2.20072] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Accepted: 10/03/2020] [Indexed: 05/25/2023]
Abstract
Hop (Humulus lupulus L. var Lupulus) is a diploid, dioecious plant with a history of cultivation spanning more than one thousand years. Hop cones are valued for their use in brewing and contain compounds of therapeutic interest including xanthohumol. Efforts to determine how biochemical pathways responsible for desirable traits are regulated have been challenged by the large (2.8 Gb), repetitive, and heterozygous genome of hop. We present a draft haplotype-phased assembly of the Cascade cultivar genome. Our draft assembly and annotation of the Cascade genome is the most extensive representation of the hop genome to date. PacBio long-read sequences from hop were assembled with FALCON and partially phased with FALCON-Unzip. Comparative analysis of haplotype sequences provides insight into selective pressures that have driven evolution in hop. We discovered genes with greater sequence divergence enriched for stress-response, growth, and flowering functions in the draft phased assembly. With improved resolution of long terminal retrotransposons (LTRs) due to long-read sequencing, we found that hop is over 70% repetitive. We identified a homolog of cannabidiolic acid synthase (CBDAS) that is expressed in multiple tissues. The approaches we developed to analyze the draft phased assembly serve to deepen our understanding of the genomic landscape of hop and may have broader applicability to the study of other large, complex genomes.
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Affiliation(s)
- Lillian K Padgitt-Cobb
- Department of Biochemistry and Biophysics, Oregon State University, Corvallis, OR, 97331, USA
| | - Sarah B Kingan
- Pacific Biosciences of California, Menlo Park, CA, 94025, USA
| | - Jackson Wells
- Center for Genome Research and Biocomputing, Oregon State University, Corvallis, OR, 97331, USA
| | - Justin Elser
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, 97331, USA
| | - Brent Kronmiller
- Center for Genome Research and Biocomputing, Oregon State University, Corvallis, OR, 97331, USA
| | | | | | - Paul Peluso
- Pacific Biosciences of California, Menlo Park, CA, 94025, USA
| | - David Rank
- Pacific Biosciences of California, Menlo Park, CA, 94025, USA
| | - Pankaj Jaiswal
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, 97331, USA
| | | | - David A Hendrix
- Department of Biochemistry and Biophysics, Oregon State University, Corvallis, OR, 97331, USA
- School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR, 97331, USA
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21
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Tello-Ruiz MK, Naithani S, Gupta P, Olson A, Wei S, Preece J, Jiao Y, Wang B, Chougule K, Garg P, Elser J, Kumari S, Kumar V, Contreras-Moreira B, Naamati G, George N, Cook J, Bolser D, D'Eustachio P, Stein LD, Gupta A, Xu W, Regala J, Papatheodorou I, Kersey PJ, Flicek P, Taylor C, Jaiswal P, Ware D. Gramene 2021: harnessing the power of comparative genomics and pathways for plant research. Nucleic Acids Res 2021; 49:D1452-D1463. [PMID: 33170273 DOI: 10.1093/nar/gkaa979] [Citation(s) in RCA: 50] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Accepted: 10/09/2020] [Indexed: 01/27/2023] Open
Abstract
Gramene (http://www.gramene.org), a knowledgebase founded on comparative functional analyses of genomic and pathway data for model plants and major crops, supports agricultural researchers worldwide. The resource is committed to open access and reproducible science based on the FAIR data principles. Since the last NAR update, we made nine releases; doubled the genome portal's content; expanded curated genes, pathways and expression sets; and implemented the Domain Informational Vocabulary Extraction (DIVE) algorithm for extracting gene function information from publications. The current release, #63 (October 2020), hosts 93 reference genomes-over 3.9 million genes in 122 947 families with orthologous and paralogous classifications. Plant Reactome portrays pathway networks using a combination of manual biocuration in rice (320 reference pathways) and orthology-based projections to 106 species. The Reactome platform facilitates comparison between reference and projected pathways, gene expression analyses and overlays of gene-gene interactions. Gramene integrates ontology-based protein structure-function annotation; information on genetic, epigenetic, expression, and phenotypic diversity; and gene functional annotations extracted from plant-focused journals using DIVE. We train plant researchers in biocuration of genes and pathways; host curated maize gene structures as tracks in the maize genome browser; and integrate curated rice genes and pathways in the Plant Reactome.
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Affiliation(s)
| | - Sushma Naithani
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Parul Gupta
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Andrew Olson
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Sharon Wei
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Justin Preece
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Yinping Jiao
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Bo Wang
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Kapeel Chougule
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Priyanka Garg
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Justin Elser
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Sunita Kumari
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Vivek Kumar
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Bruno Contreras-Moreira
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton CB10 1SD, UK
| | - Guy Naamati
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton CB10 1SD, UK
| | - Nancy George
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton CB10 1SD, UK
| | - Justin Cook
- Informatics and Bio-computing Program, Ontario Institute of Cancer Research, Toronto M5G 1L7, Canada
| | - Daniel Bolser
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton CB10 1SD, UK.,Current affiliation: Geromics Inc., Cambridge CB1 3NF, UK
| | - Peter D'Eustachio
- Department of Biochemistry and Molecular Pharmacology, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Lincoln D Stein
- Adaptive Oncology Program, Ontario Institute for Cancer Research, Toronto M5G 0A3, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Amit Gupta
- Texas Advanced Computing Center, University of Texas at Austin, Austin, TX 78758, USA
| | - Weijia Xu
- Texas Advanced Computing Center, University of Texas at Austin, Austin, TX 78758, USA
| | - Jennifer Regala
- American Society of Plant Biologists, Rockville, MD 20855-2768, USA.,Current affiliation: American Urological Association, Linthicum, MD 21090, USA
| | - Irene Papatheodorou
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton CB10 1SD, UK
| | - Paul J Kersey
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton CB10 1SD, UK.,Current affiliation: Royal Botanic Gardens, Kew Richmond, Surrey TW9 3AE, UK
| | - Paul Flicek
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton CB10 1SD, UK
| | - Crispin Taylor
- American Society of Plant Biologists, Rockville, MD 20855-2768, USA
| | - Pankaj Jaiswal
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Doreen Ware
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA.,USDA ARS NAA Robert W. Holley Center for Agriculture and Health, Ithaca, NY 14853, USA
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22
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Tello-Ruiz MK, Naithani S, Gupta P, Olson A, Wei S, Preece J, Jiao Y, Wang B, Chougule K, Garg P, Elser J, Kumari S, Kumar V, Contreras-Moreira B, Naamati G, George N, Cook J, Bolser D, D'Eustachio P, Stein LD, Gupta A, Xu W, Regala J, Papatheodorou I, Kersey PJ, Flicek P, Taylor C, Jaiswal P, Ware D. Gramene 2021: harnessing the power of comparative genomics and pathways for plant research. Nucleic Acids Res 2021; 49:D1452-D1463. [PMID: 33170273 DOI: 10.1093/nar/gkaa979/5973447] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Accepted: 10/09/2020] [Indexed: 05/20/2023] Open
Abstract
Gramene (http://www.gramene.org), a knowledgebase founded on comparative functional analyses of genomic and pathway data for model plants and major crops, supports agricultural researchers worldwide. The resource is committed to open access and reproducible science based on the FAIR data principles. Since the last NAR update, we made nine releases; doubled the genome portal's content; expanded curated genes, pathways and expression sets; and implemented the Domain Informational Vocabulary Extraction (DIVE) algorithm for extracting gene function information from publications. The current release, #63 (October 2020), hosts 93 reference genomes-over 3.9 million genes in 122 947 families with orthologous and paralogous classifications. Plant Reactome portrays pathway networks using a combination of manual biocuration in rice (320 reference pathways) and orthology-based projections to 106 species. The Reactome platform facilitates comparison between reference and projected pathways, gene expression analyses and overlays of gene-gene interactions. Gramene integrates ontology-based protein structure-function annotation; information on genetic, epigenetic, expression, and phenotypic diversity; and gene functional annotations extracted from plant-focused journals using DIVE. We train plant researchers in biocuration of genes and pathways; host curated maize gene structures as tracks in the maize genome browser; and integrate curated rice genes and pathways in the Plant Reactome.
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Affiliation(s)
| | - Sushma Naithani
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Parul Gupta
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Andrew Olson
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Sharon Wei
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Justin Preece
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Yinping Jiao
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Bo Wang
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Kapeel Chougule
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Priyanka Garg
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Justin Elser
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Sunita Kumari
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Vivek Kumar
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Bruno Contreras-Moreira
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton CB10 1SD, UK
| | - Guy Naamati
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton CB10 1SD, UK
| | - Nancy George
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton CB10 1SD, UK
| | - Justin Cook
- Informatics and Bio-computing Program, Ontario Institute of Cancer Research, Toronto M5G 1L7, Canada
| | - Daniel Bolser
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton CB10 1SD, UK
- Current affiliation: Geromics Inc., Cambridge CB1 3NF, UK
| | - Peter D'Eustachio
- Department of Biochemistry and Molecular Pharmacology, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Lincoln D Stein
- Adaptive Oncology Program, Ontario Institute for Cancer Research, Toronto M5G 0A3, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Amit Gupta
- Texas Advanced Computing Center, University of Texas at Austin, Austin, TX 78758, USA
| | - Weijia Xu
- Texas Advanced Computing Center, University of Texas at Austin, Austin, TX 78758, USA
| | - Jennifer Regala
- American Society of Plant Biologists, Rockville, MD 20855-2768, USA
- Current affiliation: American Urological Association, Linthicum, MD 21090, USA
| | - Irene Papatheodorou
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton CB10 1SD, UK
| | - Paul J Kersey
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton CB10 1SD, UK
- Current affiliation: Royal Botanic Gardens, Kew Richmond, Surrey TW9 3AE, UK
| | - Paul Flicek
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton CB10 1SD, UK
| | - Crispin Taylor
- American Society of Plant Biologists, Rockville, MD 20855-2768, USA
| | - Pankaj Jaiswal
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Doreen Ware
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
- USDA ARS NAA Robert W. Holley Center for Agriculture and Health, Ithaca, NY 14853, USA
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23
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Wang H, Liu S, Dai X, Yang Y, Luo Y, Gao Y, Liu X, Wei W, Wang H, Xu X, Reddy ASN, Jaiswal P, Li W, Liu B, Gu L. PSDX: A Comprehensive Multi-Omics Association Database of Populus trichocarpa With a Focus on the Secondary Growth in Response to Stresses. Front Plant Sci 2021; 12:655565. [PMID: 34122478 PMCID: PMC8195342 DOI: 10.3389/fpls.2021.655565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Accepted: 04/26/2021] [Indexed: 05/16/2023]
Abstract
Populus trichocarpa (P. trichocarpa) is a model tree for the investigation of wood formation. In recent years, researchers have generated a large number of high-throughput sequencing data in P. trichocarpa. However, no comprehensive database that provides multi-omics associations for the investigation of secondary growth in response to diverse stresses has been reported. Therefore, we developed a public repository that presents comprehensive measurements of gene expression and post-transcriptional regulation by integrating 144 RNA-Seq, 33 ChIP-seq, and six single-molecule real-time (SMRT) isoform sequencing (Iso-seq) libraries prepared from tissues subjected to different stresses. All the samples from different studies were analyzed to obtain gene expression, co-expression network, and differentially expressed genes (DEG) using unified parameters, which allowed comparison of results from different studies and treatments. In addition to gene expression, we also identified and deposited pre-processed data about alternative splicing (AS), alternative polyadenylation (APA) and alternative transcription initiation (ATI). The post-transcriptional regulation, differential expression, and co-expression network datasets were integrated into a new P. trichocarpa Stem Differentiating Xylem (PSDX) database (http://forestry.fafu.edu.cn/db/SDX), which further highlights gene families of RNA-binding proteins and stress-related genes. The PSDX also provides tools for data query, visualization, a genome browser, and the BLAST option for sequence-based query. Much of the data is also available for bulk download. The availability of PSDX contributes to the research related to the secondary growth in response to stresses in P. trichocarpa, which will provide new insights that can be useful for the improvement of stress tolerance in woody plants.
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Affiliation(s)
- Huiyuan Wang
- Basic Forestry and Proteomics Research Center, College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Sheng Liu
- College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Xiufang Dai
- State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin, China
| | - Yongkang Yang
- Basic Forestry and Proteomics Research Center, College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Yunjun Luo
- College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Yubang Gao
- College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Xuqing Liu
- Basic Forestry and Proteomics Research Center, College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Wentao Wei
- Basic Forestry and Proteomics Research Center, College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Huihui Wang
- Basic Forestry and Proteomics Research Center, College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Xi Xu
- College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Anireddy S. N. Reddy
- Department of Biology and Program in Cell and Molecular Biology, Colorado State University, Fort Collins, CO, United States
| | - Pankaj Jaiswal
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, United States
| | - Wei Li
- State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin, China
| | - Bo Liu
- College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, China
- *Correspondence: Bo Liu,
| | - Lianfeng Gu
- Basic Forestry and Proteomics Research Center, College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, China
- Lianfeng Gu,
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24
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Arnaud E, Laporte MA, Kim S, Aubert C, Leonelli S, Miro B, Cooper L, Jaiswal P, Kruseman G, Shrestha R, Buttigieg PL, Mungall CJ, Pietragalla J, Agbona A, Muliro J, Detras J, Hualla V, Rathore A, Das RR, Dieng I, Bauchet G, Menda N, Pommier C, Shaw F, Lyon D, Mwanzia L, Juarez H, Bonaiuti E, Chiputwa B, Obileye O, Auzoux S, Yeumo ED, Mueller LA, Silverstein K, Lafargue A, Antezana E, Devare M, King B. The Ontologies Community of Practice: A CGIAR Initiative for Big Data in Agrifood Systems. Patterns (N Y) 2020; 1:100105. [PMID: 33205138 PMCID: PMC7660444 DOI: 10.1016/j.patter.2020.100105] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Revised: 05/28/2020] [Accepted: 08/24/2020] [Indexed: 12/15/2022]
Abstract
Heterogeneous and multidisciplinary data generated by research on sustainable global agriculture and agrifood systems requires quality data labeling or annotation in order to be interoperable. As recommended by the FAIR principles, data, labels, and metadata must use controlled vocabularies and ontologies that are popular in the knowledge domain and commonly used by the community. Despite the existence of robust ontologies in the Life Sciences, there is currently no comprehensive full set of ontologies recommended for data annotation across agricultural research disciplines. In this paper, we discuss the added value of the Ontologies Community of Practice (CoP) of the CGIAR Platform for Big Data in Agriculture for harnessing relevant expertise in ontology development and identifying innovative solutions that support quality data annotation. The Ontologies CoP stimulates knowledge sharing among stakeholders, such as researchers, data managers, domain experts, experts in ontology design, and platform development teams.
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Affiliation(s)
- Elizabeth Arnaud
- Digital Solutions Team, Digital Inclusion Lever, Bioversity International, Montpellier Office, Montpellier, France
| | - Marie-Angélique Laporte
- Digital Solutions Team, Digital Inclusion Lever, Bioversity International, Montpellier Office, Montpellier, France
| | - Soonho Kim
- Markets, Trade and Institutions Division (MTID), International Food Policy Research Institute (IFPRI), Washington, DC, USA
| | - Céline Aubert
- Environment and Production Technology Division (EPTD), International Food Policy Research Institute (IFPRI), Washington, DC, USA
| | - Sabina Leonelli
- Department of Sociology, Philosophy and Anthropology & Exeter Centre for the Study of the Life Sciences (Egenis), University of Exeter, Exeter, UK
| | - Berta Miro
- Agrifood Policy Platform, International Rice Research Institute (IRRI), Los Baños, Laguna, Philippines
| | - Laurel Cooper
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, USA
| | - Pankaj Jaiswal
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, USA
| | - Gideon Kruseman
- Socio-Economics Program, International Maize and Wheat Improvement Center (CIMMYT), Texcoco, State of México, Mexico
| | - Rosemary Shrestha
- Genetic Resources Program, International Maize and Wheat Improvement Center (CIMMYT), Texcoco, State of México, México
| | - Pier Luigi Buttigieg
- Helmholtz Metadata Collaboration, GEOMAR Helmholtz Centre for Ocean Research, Kiel, Germany
| | - Christopher J. Mungall
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | | | - Afolabi Agbona
- Cassava Breeding Program, International Institute of Tropical Agriculture (IITA), Ibadan, Nigeria
| | | | - Jeffrey Detras
- Bioinformatics Cluster, Strategic Innovation Platform, International Rice Research Institute (IRRI), Los Baños, Laguna, Philippines
| | - Vilma Hualla
- Research Informatics Unit (RIU), International Potato Center (CIP), Lima, Peru
| | - Abhishek Rathore
- Statistics, Bioinformatics & Data Management (SBDM) Theme, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, Telangana, India
| | - Roma Rani Das
- Statistics, Bioinformatics & Data Management (SBDM) Theme, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, Telangana, India
| | - Ibnou Dieng
- Biometrics Unit, International Institute of Tropical Agriculture (IITA), Ibadan, Oyo State, Nigeria
| | - Guillaume Bauchet
- Mueller Bioinformatics Laboratory, Boyce Thompson Institute for Plant Research, Ithaca, NY, USA
| | - Naama Menda
- Mueller Bioinformatics Laboratory, Boyce Thompson Institute for Plant Research, Ithaca, NY, USA
| | - Cyril Pommier
- BioinfOmics, Plant Bioinformatics Facility, Université Paris-Saclay, Institut National de la Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Versailles, France
| | - Felix Shaw
- Digital Biology, Earlham Institute, Norwich, Norfolk, UK
| | - David Lyon
- Mueller Bioinformatics Laboratory, Boyce Thompson Institute for Plant Research, Ithaca, NY, USA
| | - Leroy Mwanzia
- Performance, Innovation and Strategic Analysis, International Center for Tropical Agriculture (CIAT), Regional Office for Africa, Nairobi, Kenya
| | - Henry Juarez
- Research Informatics Unit (RIU), International Potato Center (CIP), Lima, Peru
| | - Enrico Bonaiuti
- Monitoring, Evaluation and Learning Team, International Center for Agricultural Research in the Dry Areas (ICARDA), Beirut, Lebanon
| | - Brian Chiputwa
- Research Methods Group (RMG), World Agroforestry (ICRAF), Nairobi, Kenya
| | - Olatunbosun Obileye
- Data Management Section, International Institute of Tropical Agriculture (IITA), Ibadan, Oyo State, Nigeria
| | - Sandrine Auzoux
- UPR AIDA, The French Agricultural Research Centre for International Development (CIRAD), Sainte-Clotilde, Réunion, France
- Université de Montpellier, Montpellier, France
| | - Esther Dzalé Yeumo
- Unité Délégation à l’Information Scientifique et Technique - DIST, Institut National de la Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Versailles, France
| | - Lukas A. Mueller
- Mueller Bioinformatics Laboratory, Boyce Thompson Institute for Plant Research, Ithaca, NY, USA
| | | | | | - Erick Antezana
- Bayer Crop Science SA-NV, Diegem, Belgium
- Department of Biology, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Medha Devare
- Environment and Production Technology Division (EPTD), International Food Policy Research Institute (IFPRI), Washington, DC, USA
| | - Brian King
- CGIAR Platform for Big Data in Agriculture, International Center for Tropical Agriculture (CIAT), Cali, Colombia
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25
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Howe KL, Contreras-Moreira B, De Silva N, Maslen G, Akanni W, Allen J, Alvarez-Jarreta J, Barba M, Bolser DM, Cambell L, Carbajo M, Chakiachvili M, Christensen M, Cummins C, Cuzick A, Davis P, Fexova S, Gall A, George N, Gil L, Gupta P, Hammond-Kosack KE, Haskell E, Hunt SE, Jaiswal P, Janacek SH, Kersey PJ, Langridge N, Maheswari U, Maurel T, McDowall MD, Moore B, Muffato M, Naamati G, Naithani S, Olson A, Papatheodorou I, Patricio M, Paulini M, Pedro H, Perry E, Preece J, Rosello M, Russell M, Sitnik V, Staines DM, Stein J, Tello-Ruiz MK, Trevanion SJ, Urban M, Wei S, Ware D, Williams G, Yates AD, Flicek P. Ensembl Genomes 2020-enabling non-vertebrate genomic research. Nucleic Acids Res 2020; 48:D689-D695. [PMID: 31598706 PMCID: PMC6943047 DOI: 10.1093/nar/gkz890] [Citation(s) in RCA: 283] [Impact Index Per Article: 70.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2019] [Revised: 09/29/2019] [Accepted: 10/02/2019] [Indexed: 12/28/2022] Open
Abstract
Ensembl Genomes (http://www.ensemblgenomes.org) is an integrating resource for genome-scale data from non-vertebrate species, complementing the resources for vertebrate genomics developed in the context of the Ensembl project (http://www.ensembl.org). Together, the two resources provide a consistent set of interfaces to genomic data across the tree of life, including reference genome sequence, gene models, transcriptional data, genetic variation and comparative analysis. Data may be accessed via our website, online tools platform and programmatic interfaces, with updates made four times per year (in synchrony with Ensembl). Here, we provide an overview of Ensembl Genomes, with a focus on recent developments. These include the continued growth, more robust and reproducible sets of orthologues and paralogues, and enriched views of gene expression and gene function in plants. Finally, we report on our continued deeper integration with the Ensembl project, which forms a key part of our future strategy for dealing with the increasing quantity of available genome-scale data across the tree of life.
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Affiliation(s)
- Kevin L Howe
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Bruno Contreras-Moreira
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Nishadi De Silva
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Gareth Maslen
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Wasiu Akanni
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - James Allen
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Jorge Alvarez-Jarreta
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Matthieu Barba
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Dan M Bolser
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Lahcen Cambell
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Manuel Carbajo
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Marc Chakiachvili
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Mikkel Christensen
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Carla Cummins
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Alayne Cuzick
- Department of Biointeractions and Crop Protection, Rothamsted Research, Harpenden, Hertfordshire AL5 2JQ, UK
| | - Paul Davis
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Silvie Fexova
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Astrid Gall
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Nancy George
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Laurent Gil
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Parul Gupta
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Kim E Hammond-Kosack
- Department of Biointeractions and Crop Protection, Rothamsted Research, Harpenden, Hertfordshire AL5 2JQ, UK
| | - Erin Haskell
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Sarah E Hunt
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Pankaj Jaiswal
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Sophie H Janacek
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Paul J Kersey
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Nick Langridge
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Uma Maheswari
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Thomas Maurel
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Mark D McDowall
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Ben Moore
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Matthieu Muffato
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Guy Naamati
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Sushma Naithani
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Andrew Olson
- Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA
| | - Irene Papatheodorou
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Mateus Patricio
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Michael Paulini
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Helder Pedro
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Emily Perry
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Justin Preece
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Marc Rosello
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Matthew Russell
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Vasily Sitnik
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Daniel M Staines
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Joshua Stein
- Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA
| | | | - Stephen J Trevanion
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Martin Urban
- Department of Biointeractions and Crop Protection, Rothamsted Research, Harpenden, Hertfordshire AL5 2JQ, UK
| | - Sharon Wei
- Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA
| | - Doreen Ware
- Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA.,USDA ARS NAA Robert W. Holley Center for Agriculture and Health, Agricultural Research Service, Ithaca, NY 14853, USA
| | - Gary Williams
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Andrew D Yates
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Paul Flicek
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
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26
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Naithani S, Gupta P, Preece J, D'Eustachio P, Elser JL, Garg P, Dikeman DA, Kiff J, Cook J, Olson A, Wei S, Tello-Ruiz MK, Mundo AF, Munoz-Pomer A, Mohammed S, Cheng T, Bolton E, Papatheodorou I, Stein L, Ware D, Jaiswal P. Plant Reactome: a knowledgebase and resource for comparative pathway analysis. Nucleic Acids Res 2020; 48:D1093-D1103. [PMID: 31680153 PMCID: PMC7145600 DOI: 10.1093/nar/gkz996] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Revised: 10/09/2019] [Accepted: 10/14/2019] [Indexed: 12/29/2022] Open
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).
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Affiliation(s)
- Sushma Naithani
- Department of Botany & Plant Pathology, Oregon State University, Corvallis, OR, USA
| | - Parul Gupta
- Department of Botany & Plant Pathology, Oregon State University, Corvallis, OR, USA
| | - Justin Preece
- Department of Botany & Plant Pathology, Oregon State University, Corvallis, OR, USA
| | | | - Justin L Elser
- Department of Botany & Plant Pathology, Oregon State University, Corvallis, OR, USA
| | - Priyanka Garg
- Department of Botany & Plant Pathology, Oregon State University, Corvallis, OR, USA
| | - Daemon A Dikeman
- Department of Botany & Plant Pathology, Oregon State University, Corvallis, OR, USA
| | - Jason Kiff
- Department of Botany & Plant Pathology, Oregon State University, Corvallis, OR, USA
| | - Justin Cook
- Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - Andrew Olson
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Sharon Wei
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | | | | | - Alfonso Munoz-Pomer
- European Molecular Biology Laboratory - European Bioinformatics Institute, Hinxton, UK
| | - Suhaib Mohammed
- European Molecular Biology Laboratory - European Bioinformatics Institute, Hinxton, UK
| | - Tiejun Cheng
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA
| | - Evan Bolton
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA
| | - Irene Papatheodorou
- European Molecular Biology Laboratory - European Bioinformatics Institute, Hinxton, UK
| | - Lincoln Stein
- Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - Doreen Ware
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA.,USDA-ARS, RW Holley Center for Agriculture & Health, Ithaca, NY, USA
| | - Pankaj Jaiswal
- Department of Botany & Plant Pathology, Oregon State University, Corvallis, OR, USA
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27
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Kashyap A, Rhodes A, Kronmiller B, Berger J, Champagne A, Davis EW, Finnegan MV, Geniza M, Hendrix DA, Löhr CV, Petro VM, Sharpton TJ, Wells J, Epps CW, Jaiswal P, Tyler BM, Ramsey SA. Pan-tissue transcriptome analysis of long noncoding RNAs in the American beaver Castor canadensis. BMC Genomics 2020; 21:153. [PMID: 32050897 PMCID: PMC7014947 DOI: 10.1186/s12864-019-6432-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2019] [Accepted: 12/26/2019] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Long noncoding RNAs (lncRNAs) have roles in gene regulation, epigenetics, and molecular scaffolding and it is hypothesized that they underlie some mammalian evolutionary adaptations. However, for many mammalian species, the absence of a genome assembly precludes the comprehensive identification of lncRNAs. The genome of the American beaver (Castor canadensis) has recently been sequenced, setting the stage for the systematic identification of beaver lncRNAs and the characterization of their expression in various tissues. The objective of this study was to discover and profile polyadenylated lncRNAs in the beaver using high-throughput short-read sequencing of RNA from sixteen beaver tissues and to annotate the resulting lncRNAs based on their potential for orthology with known lncRNAs in other species. RESULTS Using de novo transcriptome assembly, we found 9528 potential lncRNA contigs and 187 high-confidence lncRNA contigs. Of the high-confidence lncRNA contigs, 147 have no known orthologs (and thus are putative novel lncRNAs) and 40 have mammalian orthologs. The novel lncRNAs mapped to the Oregon State University (OSU) reference beaver genome with greater than 90% sequence identity. While the novel lncRNAs were on average shorter than their annotated counterparts, they were similar to the annotated lncRNAs in terms of the relationships between contig length and minimum free energy (MFE) and between coverage and contig length. We identified beaver orthologs of known lncRNAs such as XIST, MEG3, TINCR, and NIPBL-DT. We profiled the expression of the 187 high-confidence lncRNAs across 16 beaver tissues (whole blood, brain, lung, liver, heart, stomach, intestine, skeletal muscle, kidney, spleen, ovary, placenta, castor gland, tail, toe-webbing, and tongue) and identified both tissue-specific and ubiquitous lncRNAs. CONCLUSIONS To our knowledge this is the first report of systematic identification of lncRNAs and their expression atlas in beaver. LncRNAs-both novel and those with known orthologs-are expressed in each of the beaver tissues that we analyzed. For some beaver lncRNAs with known orthologs, the tissue-specific expression patterns were phylogenetically conserved. The lncRNA sequence data files and raw sequence files are available via the web supplement and the NCBI Sequence Read Archive, respectively.
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Affiliation(s)
- Amita Kashyap
- Department of Biomedical Sciences, Oregon State University, Corvallis, OR, USA
| | - Adelaide Rhodes
- Center for Genome Research and Biocomputing, Oregon State University, Corvallis, OR, USA
| | - Brent Kronmiller
- Center for Genome Research and Biocomputing, Oregon State University, Corvallis, OR, USA
| | - Josie Berger
- College of Forestry, Oregon State University, Corvallis, OR, USA
| | - Ashley Champagne
- College of Forestry, Oregon State University, Corvallis, OR, USA
| | - Edward W Davis
- Center for Genome Research and Biocomputing, Oregon State University, Corvallis, OR, USA
| | | | - Matthew Geniza
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, USA
| | - David A Hendrix
- Department of Biochemistry and Biophysics, Oregon State University, Corvallis, OR, USA.,School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR, USA
| | - Christiane V Löhr
- Department of Biomedical Sciences, Oregon State University, Corvallis, OR, USA
| | - Vanessa M Petro
- College of Forestry, Oregon State University, Corvallis, OR, USA
| | - Thomas J Sharpton
- Department of Microbiology, Oregon State University, Corvallis, OR, USA.,Department of Statistics, Oregon State University, Corvallis, OR, USA
| | - Jackson Wells
- Center for Genome Research and Biocomputing, Oregon State University, Corvallis, OR, USA
| | - Clinton W Epps
- Department of Fisheries and Wildlife, Oregon State University, Corvallis, OR, USA
| | - Pankaj Jaiswal
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, USA
| | - Brett M Tyler
- Center for Genome Research and Biocomputing, Oregon State University, Corvallis, OR, USA.,Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, USA
| | - Stephen A Ramsey
- Department of Biomedical Sciences, Oregon State University, Corvallis, OR, USA. .,School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR, USA.
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28
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Rojony R, Martin M, Campeau A, Wozniak JM, Gonzalez DJ, Jaiswal P, Danelishvili L, Bermudez LE. Quantitative analysis of Mycobacterium avium subsp . hominissuis proteome in response to antibiotics and during exposure to different environmental conditions. Clin Proteomics 2019; 16:39. [PMID: 31749666 PMCID: PMC6852889 DOI: 10.1186/s12014-019-9260-2] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Accepted: 11/04/2019] [Indexed: 01/08/2023] Open
Abstract
Mycobacterium avium subsp. hominissuis (MAH) belongs to the clinically important non-tuberculous mycobacterial group that infects immunocompromised patients and individuals with underling lung conditions. The need for prolonged therapy is a major challenge of MAH treatment, influencing the development of persistent and drug-resistant infections. The reason why bactericidal drugs take several months to eliminate MAH is unknown. To investigate MAH proteome remodeling under aerobic, anaerobic and biofilm conditions (as it is encountered in patient lungs) and identify metabolic changes potentially associated with bacterial persistent state, we performed the relative protein quantitative analysis using Tandem Mass Tag Mass Spectrometry sequencing. MAH was exposed to amikacin (4 μg/ml) and clarithromycin (16 μg/ml) under aerobic, anaerobic or biofilm condition for 24 h and the response was compared with bacterial proteomics of the corresponding conditions. Overall, 4000 proteins were identified out of 5313 MAH proteome of across all experimental groups. Numerous sets of de novo synthesized proteins belonging to metabolic pathways not evidenced in aerobic condition were found commonly enriched in both anaerobic and biofilm conditions, including pantothenate and CoA biosynthesis, glycerolipid metabolism, nitrogen metabolism and chloroalkene degradation, known to be associated with bacterial tolerance in M. tuberculosis. The common pathways observed in anaerobic and biofilm conditions following drug treatments were peptidoglycan biosynthesis, glycerophospholipid metabolism and protein export. The LprB lipoprotein, highly synthesized in MAH biofilms during drug treatments and shown to be essential for M. tuberculosis virulence and survival in vivo, was selected and overexpressed in MAH. Results demonstrate that LprB is secreted in MAH biofilms and the overexpression clone is more tolerant to antimicrobials than the wild-type strain. Our study identified promising metabolic pathways that can be targeted to prevent the bacterial tolerance mechanism and, subsequently, reduce the length of MAH therapy.
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Affiliation(s)
- Rajoana Rojony
- Department of Biomedical Sciences, Carlson College of Veterinary Medicine, Oregon State University, Corvallis, USA
| | - Matthew Martin
- Department of Botany and Plant Pathology, College of Agricultural Sciences, Oregon State University, Corvallis, USA
| | - Anaamika Campeau
- Department of Pharmacology, School of Medicine, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, USA
| | - Jacob M. Wozniak
- Department of Pharmacology, School of Medicine, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, USA
| | - David J. Gonzalez
- Department of Pharmacology, School of Medicine, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, USA
| | - Pankaj Jaiswal
- Department of Botany and Plant Pathology, College of Agricultural Sciences, Oregon State University, Corvallis, USA
| | - L. Danelishvili
- Department of Biomedical Sciences, Carlson College of Veterinary Medicine, Oregon State University, Corvallis, USA
| | - Luiz E. Bermudez
- Department of Biomedical Sciences, Carlson College of Veterinary Medicine, Oregon State University, Corvallis, USA
- Department of Microbiology, College of Sciences, Oregon State University, Corvallis, USA
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29
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Tello-Ruiz MK, Naithani S, Stein JC, Gupta P, Campbell M, Olson A, Wei S, Preece J, Geniza MJ, Jiao Y, Lee YK, Wang B, Mulvaney J, Chougule K, Elser J, Al-Bader N, Kumari S, Thomason J, Kumar V, Bolser DM, Naamati G, Tapanari E, Fonseca N, Huerta L, Iqbal H, Keays M, Munoz-Pomer Fuentes A, Tang A, Fabregat A, D'Eustachio P, Weiser J, Stein LD, Petryszak R, Papatheodorou I, Kersey PJ, Lockhart P, Taylor C, Jaiswal P, Ware D. Gramene 2018: unifying comparative genomics and pathway resources for plant research. Nucleic Acids Res 2019; 46:D1181-D1189. [PMID: 29165610 PMCID: PMC5753211 DOI: 10.1093/nar/gkx1111] [Citation(s) in RCA: 91] [Impact Index Per Article: 18.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2017] [Accepted: 10/25/2017] [Indexed: 12/24/2022] Open
Abstract
Gramene (http://www.gramene.org) is a knowledgebase for comparative functional analysis in major crops and model plant species. The current release, #54, includes over 1.7 million genes from 44 reference genomes, most of which were organized into 62,367 gene families through orthologous and paralogous gene classification, whole-genome alignments, and synteny. Additional gene annotations include ontology-based protein structure and function; genetic, epigenetic, and phenotypic diversity; and pathway associations. Gramene's Plant Reactome provides a knowledgebase of cellular-level plant pathway networks. Specifically, it uses curated rice reference pathways to derive pathway projections for an additional 66 species based on gene orthology, and facilitates display of gene expression, gene-gene interactions, and user-defined omics data in the context of these pathways. As a community portal, Gramene integrates best-of-class software and infrastructure components including the Ensembl genome browser, Reactome pathway browser, and Expression Atlas widgets, and undergoes periodic data and software upgrades. Via powerful, intuitive search interfaces, users can easily query across various portals and interactively analyze search results by clicking on diverse features such as genomic context, highly augmented gene trees, gene expression anatomograms, associated pathways, and external informatics resources. All data in Gramene are accessible through both visual and programmatic interfaces.
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Affiliation(s)
| | - Sushma Naithani
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Joshua C Stein
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Parul Gupta
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Michael Campbell
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Andrew Olson
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Sharon Wei
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Justin Preece
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Matthew J Geniza
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Yinping Jiao
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Young Koung Lee
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA.,Division of Biological Sciences and Institute for Basic Science, Wonkwang University, Iksan 54538, Korea
| | - Bo Wang
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Joseph Mulvaney
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Kapeel Chougule
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Justin Elser
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Noor Al-Bader
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Sunita Kumari
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - James Thomason
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Vivek Kumar
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Daniel M Bolser
- EMBL-European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SD, UK
| | - Guy Naamati
- EMBL-European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SD, UK
| | - Electra Tapanari
- EMBL-European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SD, UK
| | - Nuno Fonseca
- EMBL-European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SD, UK
| | - Laura Huerta
- EMBL-European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SD, UK
| | - Haider Iqbal
- EMBL-European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SD, UK
| | - Maria Keays
- EMBL-European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SD, UK
| | | | - Amy Tang
- EMBL-European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SD, UK
| | - Antonio Fabregat
- EMBL-European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SD, UK
| | - Peter D'Eustachio
- Department of Biochemistry & Molecular Pharmacology, NYU School of Medicine, New York, NY 10016, USA
| | - Joel Weiser
- Informatics and Bio-computing Program, Ontario Institute of Cancer Research, Toronto, M5G 1L7, Canada
| | - Lincoln D Stein
- Adaptive Oncology Program, Ontario Institute for Cancer Research, Toronto M5G 0A3, Canada
| | - Robert Petryszak
- EMBL-European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SD, UK
| | - Irene Papatheodorou
- EMBL-European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SD, UK
| | - Paul J Kersey
- EMBL-European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SD, UK
| | - Patti Lockhart
- American Society of Plant Biologists, 15501 Monona Drive, Rockville, MD 20855-2768, USA
| | - Crispin Taylor
- American Society of Plant Biologists, 15501 Monona Drive, Rockville, MD 20855-2768, USA
| | - Pankaj Jaiswal
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Doreen Ware
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA.,USDA ARS NAA Robert W. Holley Center for Agriculture and Health, Agricultural Research Service, Ithaca, NY 14853, USA
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Cooper L, Meier A, Laporte MA, Elser JL, Mungall C, Sinn BT, Cavaliere D, Carbon S, Dunn NA, Smith B, Qu B, Preece J, Zhang E, Todorovic S, Gkoutos G, Doonan JH, Stevenson DW, Arnaud E, Jaiswal P. The Planteome database: an integrated resource for reference ontologies, plant genomics and phenomics. Nucleic Acids Res 2019; 46:D1168-D1180. [PMID: 29186578 PMCID: PMC5753347 DOI: 10.1093/nar/gkx1152] [Citation(s) in RCA: 85] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2017] [Accepted: 11/21/2017] [Indexed: 01/08/2023] Open
Abstract
The Planteome project (http://www.planteome.org) provides a suite of reference and species-specific ontologies for plants and annotations to genes and phenotypes. Ontologies serve as common standards for semantic integration of a large and growing corpus of plant genomics, phenomics and genetics data. The reference ontologies include the Plant Ontology, Plant Trait Ontology and the Plant Experimental Conditions Ontology developed by the Planteome project, along with the Gene Ontology, Chemical Entities of Biological Interest, Phenotype and Attribute Ontology, and others. The project also provides access to species-specific Crop Ontologies developed by various plant breeding and research communities from around the world. We provide integrated data on plant traits, phenotypes, and gene function and expression from 95 plant taxa, annotated with reference ontology terms. The Planteome project is developing a plant gene annotation platform; Planteome Noctua, to facilitate community engagement. All the Planteome ontologies are publicly available and are maintained at the Planteome GitHub site (https://github.com/Planteome) for sharing, tracking revisions and new requests. The annotated data are freely accessible from the ontology browser (http://browser.planteome.org/amigo) and our data repository.
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Affiliation(s)
- Laurel Cooper
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Austin Meier
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | | | - Justin L Elser
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Chris Mungall
- Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | | | | | - Seth Carbon
- Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Nathan A Dunn
- Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Barry Smith
- Department of Philosophy, University at Buffalo, Buffalo, NY 14260, USA
| | - Botong Qu
- School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR 97331, USA
| | - Justin Preece
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Eugene Zhang
- School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR 97331, USA
| | - Sinisa Todorovic
- School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR 97331, USA
| | - Georgios Gkoutos
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, B15 2TT, UK
| | - John H Doonan
- National Plant Phenomics Centre, Institute of Biological, Environmental, and Rural Sciences, Aberystwyth University, Aberystwyth SY23 3DA, UK
| | | | - Elizabeth Arnaud
- Bioversity International, Parc Scientifique Agropolis II, 34397 Montpellier Cedex 5, France
| | - Pankaj Jaiswal
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
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31
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Walls RL, Cooper L, Elser J, Gandolfo MA, Mungall CJ, Smith B, Stevenson DW, Jaiswal P. The Plant Ontology Facilitates Comparisons of Plant Development Stages Across Species. Front Plant Sci 2019; 10:631. [PMID: 31214208 PMCID: PMC6558174 DOI: 10.3389/fpls.2019.00631] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/20/2018] [Accepted: 04/26/2019] [Indexed: 06/09/2023]
Abstract
The Plant Ontology (PO) is a community resource consisting of standardized terms, definitions, and logical relations describing plant structures and development stages, augmented by a large database of annotations from genomic and phenomic studies. This paper describes the structure of the ontology and the design principles we used in constructing PO terms for plant development stages. It also provides details of the methodology and rationale behind our revision and expansion of the PO to cover development stages for all plants, particularly the land plants (bryophytes through angiosperms). As a case study to illustrate the general approach, we examine variation in gene expression across embryo development stages in Arabidopsis and maize, demonstrating how the PO can be used to compare patterns of expression across stages and in developmentally different species. Although many genes appear to be active throughout embryo development, we identified a small set of uniquely expressed genes for each stage of embryo development and also between the two species. Evaluating the different sets of genes expressed during embryo development in Arabidopsis or maize may inform future studies of the divergent developmental pathways observed in monocotyledonous versus dicotyledonous species. The PO and its annotation database (http://www.planteome.org) make plant data for any species more discoverable and accessible through common formats, thus providing support for applications in plant pathology, image analysis, and comparative development and evolution.
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Affiliation(s)
- Ramona L. Walls
- CyVerse, Bio5 Institute, The University of Arizona, Tucson, AZ, United States
| | - Laurel Cooper
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, United States
| | - Justin Elser
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, United States
| | - Maria Alejandra Gandolfo
- Liberty Hyde Bailey Hortorium, Plant Biology Section, School of Integrative Plant Science, Cornell University, Ithaca, NY, United States
| | - Christopher J. Mungall
- Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | - Barry Smith
- Department of Philosophy, University at Buffalo, Buffalo, NY, United States
| | | | - Pankaj Jaiswal
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, United States
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Naithani S, Gupta P, Preece J, Garg P, Fraser V, Padgitt-Cobb LK, Martin M, Vining K, Jaiswal P. Involving community in genes and pathway curation. Database (Oxford) 2019; 2019:5289625. [PMID: 30649295 PMCID: PMC6334007 DOI: 10.1093/database/bay146] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/08/2018] [Accepted: 12/11/2018] [Indexed: 12/25/2022]
Abstract
Biocuration plays a crucial role in building databases and complex systems-level platforms required for processing, annotating and analyzing ‘Big Data’ in biology. However, biocuration efforts cannot keep pace with a dramatic increase in the production of omics data; this presents one of the bottlenecks in genomics. In two pathway curation jamborees, Plant Reactome curators tested strategies for introducing researchers to pathway curation tools, harnessing biologists’ expertise in curating plant pathways and developing a network of community biocurators. We summarize the strategy, workflow and outcomes of these exercises, and discuss the role of community biocuration in advancing databases and genomic resources.
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Affiliation(s)
- Sushma Naithani
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, USA
| | - Parul Gupta
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, USA
| | - Justin Preece
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, USA
| | - Priyanka Garg
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, USA
| | - Valerie Fraser
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, USA.,Molecular and Cellular Biology Graduate Program, Oregon State University, Corvallis, OR, USA
| | | | - Matthew Martin
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, USA
| | - Kelly Vining
- Department of Horticulture, Oregon State University, Corvallis, OR, USA
| | - Pankaj Jaiswal
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, USA
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33
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Wang Y, Attar BM, Hinami K, Fuentes HE, Jaiswal P, Zhang H, Simons-Linares CS, Tafur AJ. Characteristics and Impacts of Venous Thromboembolism in Patients with Hepatocellular Carcinoma. J Gastrointest Cancer 2018; 49:275-282. [PMID: 28374272 DOI: 10.1007/s12029-017-9945-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
INTRODUCTION Venous thromboembolism (VTE) is a common complication in cancer patients, and is associated with worse prognosis in such population. Hepatocellular carcinoma (HCC) poses high risk for VTE; however, data is scarce regarding the characteristics and consequences of VTE in HCC patients. METHOD We retrospectively reviewed the electronic medical records (EMR) of 270 patients diagnosed with HCC from 2000 to 2015 in Cook County Health and Hospitals System. We report the cumulative incidence of VTE in the present cohort, and identified through multivariate logistic regression the independent risk factors of the development of VTE. Overall prognosis of patients with and without VTE were presented and compared. RESULTS Sixteen cases (5.93%) of VTE were documented in the present study. In multivariate analysis, obesity, Child B cirrhosis, intra-hepatic lesions more than 3, and multi-organ extrahepatic metastasis were significantly associated with VTE development (p < 0.05). The presence of VTE was an independent risk factor for mortality in multivariate analysis (HR = 3.62, p = 0.021), together with male gender, Child C cirrhosis, and extrahepatic metastasis. CONCLUSIONS Obesity, Child B cirrhosis, more intra-hepatic lesions, and multi-organ extrahepatic metastasis are associated with cancer-associated VTE. VTE will adversely affect the prognosis of patients with HCC; therefore, primary thromboprophylaxis may be warranted in such population.
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Affiliation(s)
- Yuchen Wang
- Department of Internal Medicine, John H. Stroger, Jr. Hospital of Cook County, 1900 West Polk Street, Chicago, IL, 60612, USA.
| | - B M Attar
- Division of Gastroenterology and Hepatology, John H. Stroger, Jr. Hospital of Cook County, Chicago, IL, USA.,Department of Gastroenterology, Rush University Medical Center, Chicago, IL, USA
| | - K Hinami
- Collaborative Research Unit, John H. Stroger, Jr. Hospital of Cook County, Chicago, IL, USA
| | - H E Fuentes
- Department of Internal Medicine, John H. Stroger, Jr. Hospital of Cook County, 1900 West Polk Street, Chicago, IL, 60612, USA
| | - P Jaiswal
- Department of Internal Medicine, John H. Stroger, Jr. Hospital of Cook County, 1900 West Polk Street, Chicago, IL, 60612, USA
| | - H Zhang
- Collaborative Research Unit, John H. Stroger, Jr. Hospital of Cook County, Chicago, IL, USA
| | - C S Simons-Linares
- Department of Internal Medicine, John H. Stroger, Jr. Hospital of Cook County, 1900 West Polk Street, Chicago, IL, 60612, USA
| | - A J Tafur
- Cardiology-Vascular Medicine, NorthShore University HealthSystem, Evanston, IL, USA
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34
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Mohan R, Jaiswal P. Developing Surgical Oncology Services in Resource Constrained Settings: Results of a Systematic and Motivated Approach. J Glob Oncol 2018. [DOI: 10.1200/jgo.18.52000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Background: General surgeons trained in surgical oncology and working in a general service hospital can offer and provide a wide variety of oncological services although significant limitations exist compared with a true tertiary cancer care center in developed high income countries. Providing optimal and standard of care surgical oncology services is truly demanding and limitations in ancillary and support services can potentially limit the quality of care provided in resource constrained settings like ours. Aim: The aim of this study was to analyze the patterns of care, surgical outcomes in terms of morbidity and mortality, quality of resection in terms of margins and nodal yield over a period of 08 weeks in a general service hospital with resource constrained setting and with two trained and motivated surgical oncologists. Methods: Data of 22 patients with solid organ cancers who underwent major operative treatment both curative and palliative under the surgical oncology services were analyzed retrospectively. All patients were evaluated clinically, imaging as required and pathologic tissue diagnosis of cancer obtained as was possible and after adequate preoperative preparation were operated upon. Results: Four patients of carcinoma rectum underwent low anterior resection with diverting ileostomy, one patient with rectal cancer had APR with permanent end colostomy, two patients underwent total thyroidectomy for papillary thyroid cancer, eight patients underwent modified radical mastectomy for carcinoma breast, two patients had optimal cytoreductive surgery for carcinoma ovary -one patient upfront and another as interval cytoreduction, two cases of soft tissue tumor underwent limb salvage surgery, one case of carcinoma stomach underwent subtotal gastrectomy, one case of carcinoma cecum underwent classic right radical hemicolectomy. Two patients underwent emergency exploration for acute abdomen who were otherwise metastatic for palliation. All but one case received neoadjuvant therapy prior to surgery in carcinoma rectum, one case of carcinoma ovary and carcinoma breast were operated after neoadjuvant chemotherapy. Overall there was only one margin positive resection after low anterior resection who was operated upfront due to impending obstruction. The average nodal yield in all cases of colorectal carcinomas and breast cancer cases were as per current NCCN standards. Morbidities included seroma collection in 3 patients, minor surgical site infection in 2 patients, peristomal allergy in two patients, there were no deaths in elective cases. Conclusion: Providing quality surgical oncology services in a resource constrained general service hospital is challenging. Through an aggressive, well planned and motivated approach with a good surgical oncology training background and with available resources it is possible to achieve a varied spectrum, quality care and an improved and sustainable healthcare oncology systems for better outcomes even in these settings.
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35
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Yap JE, Jaiswal P, Ton L, Szynkarek R, Attar BM, Gandhi S. Successful treatment of chronic hepatitis C infection with crushed elbasvir/grazoprevir administered via a percutaneous endoscopic gastrostomy tube. J Clin Pharm Ther 2018; 43:730-732. [DOI: 10.1111/jcpt.12713] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2018] [Accepted: 04/24/2018] [Indexed: 12/22/2022]
Affiliation(s)
- J. E. Yap
- Division of Gastroenterology and HepatologyCook County Health and Hospitals System Chicago IL USA
| | - P. Jaiswal
- Department of Internal MedicineCook County Health and Hospitals System Chicago IL USA
| | - L. Ton
- Division of Gastroenterology and HepatologyCook County Health and Hospitals System Chicago IL USA
| | - R. Szynkarek
- Department of PharmacyCook County Health and Hospital System Chicago IL USA
| | - B. M. Attar
- Division of Gastroenterology and HepatologyCook County Health and Hospitals System Chicago IL USA
| | - S. Gandhi
- Division of Gastroenterology and HepatologyCook County Health and Hospitals System Chicago IL USA
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36
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Jaiswal P, Yap JE, Attar BM, Wang Y, Kotwal V. Gastrointestinal: Tracheoesophageal fistula secondary to pressure necrosis from tracheostomy tube balloon cuff. J Gastroenterol Hepatol 2018; 33:561. [PMID: 29469236 DOI: 10.1111/jgh.13985] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/09/2022]
Affiliation(s)
- P Jaiswal
- Department of Internal Medicine, Cook County Health and Hospitals System, Chicago, Illinois, USA
| | - J E Yap
- Division of Gastroenterology and Hepatology, Cook County Health and Hospitals System, Chicago, Illinois, USA
| | - B M Attar
- Division of Gastroenterology and Hepatology, Cook County Health and Hospitals System, Chicago, Illinois, USA
| | - Y Wang
- Department of Internal Medicine, Cook County Health and Hospitals System, Chicago, Illinois, USA
| | - V Kotwal
- Division of Gastroenterology and Hepatology, Cook County Health and Hospitals System, Chicago, Illinois, USA
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37
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Jaiswal P, Attar BM, Yap JE, Devani K, Jaiswal R, Wang Y, Szynkarek R, Patel D, Demetria M. Acute liver failure with amiodarone infusion: A case report and systematic review. J Clin Pharm Ther 2018; 43:129-133. [PMID: 28714083 DOI: 10.1111/jcpt.12594] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2017] [Accepted: 06/20/2017] [Indexed: 11/28/2022]
Abstract
WHAT IS KNOWN AND OBJECTIVE Amiodarone, a commonly used class III antiarrhythmic agent notable for a relatively long half-life of up to 6 months and its pronounced adverse effect profile, is used for both acute and chronic management of cardiac arrhythmias. Chronic use of amiodarone has been associated with asymptomatic hepatotoxicity; however, acute toxicity is thought to be uncommon. There are only six reported cases of acute liver failure (ALF) secondary to amiodarone. In all these cases the outcome of death during the same hospitalization resulted. We aimed to report the only case of acute liver failure secondary to amiodarone infusion in the existing literature where the patient survived. CASE SUMMARY A 79-year-old woman admitted with atrial flutter was being treated with intravenous (IV) amiodarone when she abruptly developed coagulopathy, altered mental status and liver enzyme derangement. She was diagnosed with acute liver failure (ALF) secondary to an amiodarone adverse drug reaction, with a calculated score of seven on the Naranjo adverse drug reaction probability scale. Amiodarone was immediately withheld, and N-acetylcysteine (NAC) was initiated. Clinical improvement was seen within 48 hours of holding the drug and within 24 hours of initiating NAC. On post-hospital follow-up visit she was reported to have complete recovery. WHAT IS NEW AND CONCLUSION This report emphasizes the importance of monitoring liver enzymes and mental status while a patient is being administered IV amiodarone. N-acetylcysteine administration may have possibly contributed to the early and successful recovery from ALF in our patient. To date, she is the only patient in the existing literature who has been reported to survive ALF secondary to amiodarone administration.
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Affiliation(s)
- P Jaiswal
- Department of Internal Medicine, John H. Stroger, Jr. Hospital of Cook County, Chicago, IL, USA
| | - B M Attar
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, John H. Stroger, Jr. Hospital of Cook County, Chicago, IL, USA
| | - J E Yap
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, John H. Stroger, Jr. Hospital of Cook County, Chicago, IL, USA
| | - K Devani
- Department of Internal Medicine, James H. Quillen College of Medicine, East Tennessee State University, Johnson City, TN, USA
| | - R Jaiswal
- Department of Internal Medicine, Forest Hills Hospital, Forest Hills, NY, USA
| | - Y Wang
- Department of Internal Medicine, John H. Stroger, Jr. Hospital of Cook County, Chicago, IL, USA
| | - R Szynkarek
- Department of Pharmacy, John H. Stroger, Jr. Hospital of Cook County, Chicago, IL, USA
| | - D Patel
- Department of Internal Medicine, Mercy Catholic Medical Center, Darby, PA, USA
| | - M Demetria
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, John H. Stroger, Jr. Hospital of Cook County, Chicago, IL, USA
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38
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Jaiswal P, Jaiswal R, Attar BM, Dedania B, Wang Y, Basu A, Go B. Hepatobiliary and Pancreatic: Massive hepatic cystic echinococcosis compressing inferior vena cava. J Gastroenterol Hepatol 2018; 33:339. [PMID: 29372607 DOI: 10.1111/jgh.14038] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/09/2022]
Affiliation(s)
- P Jaiswal
- Department of Internal Medicine, Cook County Health and Hospitals System, Chicago, Illinois, USA
| | - R Jaiswal
- Department of Internal Medicine, Forest Hills Hospital, Cook County Health and Hospitals System, Chicago, Illinois, USA
| | - B M Attar
- Division of Gastroenterology and Hepatology, Cook County Health and Hospitals System, Chicago, Illinois, USA
| | - B Dedania
- Division of Gastroenterology, Hepatology and Nutrition, University of Texas Health Science Center-Houston, Houston, Texas, USA
| | - Y Wang
- Department of Internal Medicine, Cook County Health and Hospitals System, Chicago, Illinois, USA
| | - A Basu
- Department of Radiology, Cook County Health and Hospitals System, Chicago, Illinois, USA
| | - B Go
- Division of Gastroenterology and Hepatology, Cook County Health and Hospitals System, Chicago, Illinois, USA
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39
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Papatheodorou I, Fonseca NA, Keays M, Tang Y, Barrera E, Bazant W, Burke M, Füllgrabe A, Fuentes AMP, George N, Huerta L, Koskinen S, Mohammed S, Geniza M, Preece J, Jaiswal P, Jarnuczak AF, Huber W, Stegle O, Vizcaino JA, Brazma A, Petryszak R. Expression Atlas: gene and protein expression across multiple studies and organisms. Nucleic Acids Res 2018; 46:D246-D251. [PMID: 29165655 PMCID: PMC5753389 DOI: 10.1093/nar/gkx1158] [Citation(s) in RCA: 246] [Impact Index Per Article: 41.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2017] [Revised: 10/26/2017] [Accepted: 11/06/2017] [Indexed: 12/31/2022] Open
Abstract
Expression Atlas (http://www.ebi.ac.uk/gxa) is an added value database that provides information about gene and protein expression in different species and contexts, such as tissue, developmental stage, disease or cell type. The available public and controlled access data sets from different sources are curated and re-analysed using standardized, open source pipelines and made available for queries, download and visualization. As of August 2017, Expression Atlas holds data from 3,126 studies across 33 different species, including 731 from plants. Data from large-scale RNA sequencing studies including Blueprint, PCAWG, ENCODE, GTEx and HipSci can be visualized next to each other. In Expression Atlas, users can query genes or gene-sets of interest and explore their expression across or within species, tissues, developmental stages in a constitutive or differential context, representing the effects of diseases, conditions or experimental interventions. All processed data matrices are available for direct download in tab-delimited format or as R-data. In addition to the web interface, data sets can now be searched and downloaded through the Expression Atlas R package. Novel features and visualizations include the on-the-fly analysis of gene set overlaps and the option to view gene co-expression in experiments investigating constitutive gene expression across tissues or other conditions.
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Affiliation(s)
- Irene Papatheodorou
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK
| | - Nuno A Fonseca
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK
| | - Maria Keays
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK
| | - Y Amy Tang
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK
| | - Elisabet Barrera
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK
| | - Wojciech Bazant
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK
| | - Melissa Burke
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK
| | - Anja Füllgrabe
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK
| | | | - Nancy George
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK
| | - Laura Huerta
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK
| | - Satu Koskinen
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK
| | - Suhaib Mohammed
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK
| | | | | | | | - Andrew F Jarnuczak
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK
| | - Wolfgang Huber
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK
| | - Oliver Stegle
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK
| | - Juan Antonio Vizcaino
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK
| | - Alvis Brazma
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK
| | - Robert Petryszak
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK
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40
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Harper L, Campbell J, Cannon EKS, Jung S, Poelchau M, Walls R, Andorf C, Arnaud E, Berardini TZ, Birkett C, Cannon S, Carson J, Condon B, Cooper L, Dunn N, Elsik CG, Farmer A, Ficklin SP, Grant D, Grau E, Herndon N, Hu ZL, Humann J, Jaiswal P, Jonquet C, Laporte MA, Larmande P, Lazo G, McCarthy F, Menda N, Mungall CJ, Munoz-Torres MC, Naithani S, Nelson R, Nesdill D, Park C, Reecy J, Reiser L, Sanderson LA, Sen TZ, Staton M, Subramaniam S, Tello-Ruiz MK, Unda V, Unni D, Wang L, Ware D, Wegrzyn J, Williams J, Woodhouse M, Yu J, Main D. AgBioData consortium recommendations for sustainable genomics and genetics databases for agriculture. Database (Oxford) 2018; 2018:5096675. [PMID: 30239679 PMCID: PMC6146126 DOI: 10.1093/database/bay088] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2018] [Revised: 07/19/2018] [Accepted: 07/30/2018] [Indexed: 01/07/2023]
Abstract
The future of agricultural research depends on data. The sheer volume of agricultural biological data being produced today makes excellent data management essential. Governmental agencies, publishers and science funders require data management plans for publicly funded research. Furthermore, the value of data increases exponentially when they are properly stored, described, integrated and shared, so that they can be easily utilized in future analyses. AgBioData (https://www.agbiodata.org) is a consortium of people working at agricultural biological databases, data archives and knowledgbases who strive to identify common issues in database development, curation and management, with the goal of creating database products that are more Findable, Accessible, Interoperable and Reusable. We strive to promote authentic, detailed, accurate and explicit communication between all parties involved in scientific data. As a step toward this goal, we present the current state of biocuration, ontologies, metadata and persistence, database platforms, programmatic (machine) access to data, communication and sustainability with regard to data curation. Each section describes challenges and opportunities for these topics, along with recommendations and best practices.
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Affiliation(s)
- Lisa Harper
- Corn Insects and Crop Genetics Research Unit, USDA-ARS, Ames, IA, USA
| | | | - Ethalinda K S Cannon
- Corn Insects and Crop Genetics Research Unit, USDA-ARS, Ames, IA, USA
- Computer Science, Iowa State University, Ames, IA, USA
| | - Sook Jung
- Horticulture, Washington State University, Pullman, WA, USA
| | - Monica Poelchau
- National Agricultural Library, USDA Agricultural Research Service, Beltsville, MD, USA
| | | | - Carson Andorf
- Corn Insects and Crop Genetics Research Unit, USDA-ARS, Ames, IA, USA
- Computer Science, Iowa State University, Ames, IA, USA
| | - Elizabeth Arnaud
- Bioversity International, Informatics Unit, Conservation and Availability Programme, Parc Scientifique Agropolis II, Montpellier, France
| | - Tanya Z Berardini
- The Arabidopsis Information Resource, Phoenix Bioinformatics, Fremont, CA, USA
| | | | - Steve Cannon
- Corn Insects and Crop Genetics Research Unit, USDA-ARS, Ames, IA, USA
| | - James Carson
- Texas Advanced Computing Center, The University of Texas at Austin, Austin, TX, USA
| | - Bradford Condon
- Entomology and Plant Pathology, University of Tennessee Knoxville, Knoxville, TN, USA
| | - Laurel Cooper
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, USA
| | - Nathan Dunn
- Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Christine G Elsik
- Division of Animal Sciences and Division of Plant Sciences, University of Missouri, Columbia, MO, USA
| | - Andrew Farmer
- National Center for Genome Resources, Santa Fe, NM, USA
| | | | - David Grant
- Corn Insects and Crop Genetics Research Unit, USDA-ARS, Ames, IA, USA
| | - Emily Grau
- National Center for Genome Resources, Santa Fe, NM, USA
| | - Nic Herndon
- Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, USA
| | - Zhi-Liang Hu
- Animal Science, Iowa State University, Ames, USA
| | - Jodi Humann
- Horticulture, Washington State University, Pullman, WA, USA
| | - Pankaj Jaiswal
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, USA
| | - Clement Jonquet
- Laboratory of Informatics, Robotics, Microelectronics of Montpellier, University of Montpellier & CNRS, Montpellier, France
| | - Marie-Angélique Laporte
- Bioversity International, Informatics Unit, Conservation and Availability Programme, Parc Scientifique Agropolis II, Montpellier, France
| | | | - Gerard Lazo
- Crop Improvement and Genetics Research Unit, USDA-ARS, Albany, CA, USA
| | - Fiona McCarthy
- School of Animal and Comparative Biomedical Sciences, University of Arizona, Tucson, AZ, USA
| | | | | | | | - Sushma Naithani
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, USA
| | - Rex Nelson
- Corn Insects and Crop Genetics Research Unit, USDA-ARS, Ames, IA, USA
| | - Daureen Nesdill
- Marriott Library, University of Utah, Salt Lake City, UT, USA
| | - Carissa Park
- Animal Science, Iowa State University, Ames, USA
| | - James Reecy
- Animal Science, Iowa State University, Ames, USA
| | - Leonore Reiser
- The Arabidopsis Information Resource, Phoenix Bioinformatics, Fremont, CA, USA
| | | | - Taner Z Sen
- Crop Improvement and Genetics Research Unit, USDA-ARS, Albany, CA, USA
| | - Margaret Staton
- Entomology and Plant Pathology, University of Tennessee Knoxville, Knoxville, TN, USA
| | | | | | - Victor Unda
- Horticulture, Washington State University, Pullman, WA, USA
| | - Deepak Unni
- Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Liya Wang
- Plant Genomics, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Doreen Ware
- USDA, Plant, Soil and Nutrition Research, Ithaca, NY, USA
- Plant Genomics, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Jill Wegrzyn
- Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, USA
| | - Jason Williams
- Cold Spring Harbor Laboratory, DNA Learning Center, Cold Spring Harbor, NY, USA
| | - Margaret Woodhouse
- Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA, USA
| | - Jing Yu
- Horticulture, Washington State University, Pullman, WA, USA
| | - Doreen Main
- Horticulture, Washington State University, Pullman, WA, USA
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Filichkin SA, Hamilton M, Dharmawardhana PD, Singh SK, Sullivan C, Ben-Hur A, Reddy ASN, Jaiswal P. Abiotic Stresses Modulate Landscape of Poplar Transcriptome via Alternative Splicing, Differential Intron Retention, and Isoform Ratio Switching. Front Plant Sci 2018; 9:5. [PMID: 29483921 PMCID: PMC5816337 DOI: 10.3389/fpls.2018.00005] [Citation(s) in RCA: 67] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/20/2017] [Accepted: 01/03/2018] [Indexed: 05/19/2023]
Abstract
Abiotic stresses affect plant physiology, development, growth, and alter pre-mRNA splicing. Western poplar is a model woody tree and a potential bioenergy feedstock. To investigate the extent of stress-regulated alternative splicing (AS), we conducted an in-depth survey of leaf, root, and stem xylem transcriptomes under drought, salt, or temperature stress. Analysis of approximately one billion of genome-aligned RNA-Seq reads from tissue- or stress-specific libraries revealed over fifteen millions of novel splice junctions. Transcript models supported by both RNA-Seq and single molecule isoform sequencing (Iso-Seq) data revealed a broad array of novel stress- and/or tissue-specific isoforms. Analysis of Iso-Seq data also resulted in the discovery of 15,087 novel transcribed regions of which 164 show AS. Our findings demonstrate that abiotic stresses profoundly perturb transcript isoform profiles and trigger widespread intron retention (IR) events. Stress treatments often increased or decreased retention of specific introns - a phenomenon described here as differential intron retention (DIR). Many differentially retained introns were regulated in a stress- and/or tissue-specific manner. A subset of transcripts harboring super stress-responsive DIR events showed persisting fluctuations in the degree of IR across all treatments and tissue types. To investigate coordinated dynamics of intron-containing transcripts in the study we quantified absolute copy number of isoforms of two conserved transcription factors (TFs) using Droplet Digital PCR. This case study suggests that stress treatments can be associated with coordinated switches in relative ratios between fully spliced and intron-retaining isoforms and may play a role in adjusting transcriptome to abiotic stresses.
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Affiliation(s)
- Sergei A. Filichkin
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, United States
| | - Michael Hamilton
- Department of Computer Science, Colorado State University, Fort Collins, CO, United States
| | | | - Sunil K. Singh
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, United States
| | - Christopher Sullivan
- Center for Genome Research and Biocomputing, Oregon State University, Corvallis, OR, United States
| | - Asa Ben-Hur
- Department of Computer Science, Colorado State University, Fort Collins, CO, United States
| | - Anireddy S. N. Reddy
- Department of Biology and Program in Cell and Molecular Biology, Colorado State University, Fort Collins, CO, United States
| | - Pankaj Jaiswal
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, United States
- *Correspondence: Pankaj Jaiswal,
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42
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Abstract
The goal of Gramene database ( www.gramene.org ) is to empower the plant research community in conducting comparative genomics studies across model plants and crops by employing a phylogenetic framework and orthology-based projections. Gramene database (release #49) provides resources for comparative plant genomics including well-annotated plant genomes (39 complete reference genomes and six partial genomes), genetic or structural variation data for 14 plant species, pathways for 58 plant species, and gene expression data for 14 species including Arabidopsis, rice, maize, soybean, wheat, etc. (fetched from EBI-EMBL Gene Expression Atlas database). Gramene also facilitates visualization and analysis of user-defined data in the context of species-specific Genome Browsers or pathways. This chapter describes basic navigation for Gramene users and illustrates how they can use the genome section to analyze the gene expression and nucleotide variation data generated in their labs. This includes (1) upload and display of genomic data onto a Genome Browser track, (2) analysis of variation data using online Variant Effect Predictor (VEP) tool for smaller data sets, and (3) the use of the stand-alone Perl scripts and command line protocols for variant effect prediction on larger data sets.
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Affiliation(s)
- Sushma Naithani
- Department of Botany and Plant Pathology, Oregon State University, 2082 Cordley Hall, Corvallis, OR, 97331-2902, USA
| | - Matthew Geniza
- Department of Botany and Plant Pathology, Oregon State University, 2082 Cordley Hall, Corvallis, OR, 97331-2902, USA
- Molecular and Cellular Biology Graduate Program, Oregon State University, Corvallis, OR, 97331-2902, USA
| | - Pankaj Jaiswal
- Department of Botany and Plant Pathology, Oregon State University, 2082 Cordley Hall, Corvallis, OR, 97331-2902, USA.
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43
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Gupta P, Naithani S, Tello-Ruiz MK, Chougule K, D’Eustachio P, Fabregat A, Jiao Y, Keays M, Lee YK, Kumari S, Mulvaney J, Olson A, Preece J, Stein J, Wei S, Weiser J, Huerta L, Petryszak R, Kersey P, Stein LD, Ware D, Jaiswal P. Gramene Database: Navigating Plant Comparative Genomics Resources. Curr Plant Biol 2016; 7-8:10-15. [PMID: 28713666 PMCID: PMC5509230 DOI: 10.1016/j.cpb.2016.12.005] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
Gramene (http://www.gramene.org) is an online, open source, curated resource for plant comparative genomics and pathway analysis designed to support researchers working in plant genomics, breeding, evolutionary biology, system biology, and metabolic engineering. It exploits phylogenetic relationships to enrich the annotation of genomic data and provides tools to perform powerful comparative analyses across a wide spectrum of plant species. It consists of an integrated portal for querying, visualizing and analyzing data for 44 plant reference genomes, genetic variation data sets for 12 species, expression data for 16 species, curated rice pathways and orthology-based pathway projections for 66 plant species including various crops. Here we briefly describe the functions and uses of the Gramene database.
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Affiliation(s)
- Parul Gupta
- Department of Botany & Plant Pathology, Oregon State University, Corvallis, OR, USA
| | - Sushma Naithani
- Department of Botany & Plant Pathology, Oregon State University, Corvallis, OR, USA
| | | | | | | | - Antonio Fabregat
- European Molecular Biology Laboratory - European Bioinformatics Institute, Hinxton, UK
| | - Yinping Jiao
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Maria Keays
- European Molecular Biology Laboratory - European Bioinformatics Institute, Hinxton, UK
| | | | - Sunita Kumari
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | | | - Andrew Olson
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Justin Preece
- Department of Botany & Plant Pathology, Oregon State University, Corvallis, OR, USA
| | - Joshua Stein
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Sharon Wei
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Joel Weiser
- Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - Laura Huerta
- European Molecular Biology Laboratory - European Bioinformatics Institute, Hinxton, UK
| | - Robert Petryszak
- European Molecular Biology Laboratory - European Bioinformatics Institute, Hinxton, UK
| | - Paul Kersey
- European Molecular Biology Laboratory - European Bioinformatics Institute, Hinxton, UK
| | | | - Doreen Ware
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
- USDA ARS NEA Plant, Soil & Nutrition Laboratory Research Unit, Ithaca, NY, USA
| | - Pankaj Jaiswal
- Department of Botany & Plant Pathology, Oregon State University, Corvallis, OR, USA
- To whom correspondence should be addressed Address of the corresponding author: Department of Botany & Plant Pathology, Oregon State University, Corvallis, OR, USA, Phone: +1-541-737-8471, Fax: +1-541-737-3573,
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44
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Naithani S, Preece J, D'Eustachio P, Gupta P, Amarasinghe V, Dharmawardhana PD, Wu G, Fabregat A, Elser JL, Weiser J, Keays M, Fuentes AMP, Petryszak R, Stein LD, Ware D, Jaiswal P. Plant Reactome: a resource for plant pathways and comparative analysis. Nucleic Acids Res 2016; 45:D1029-D1039. [PMID: 27799469 PMCID: PMC5210633 DOI: 10.1093/nar/gkw932] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2016] [Accepted: 10/27/2016] [Indexed: 12/18/2022] Open
Abstract
Plant Reactome (http://plantreactome.gramene.org/) is a free, open-source, curated plant pathway database portal, provided as part of the Gramene project. The database provides intuitive bioinformatics tools for the visualization, analysis and interpretation of pathway knowledge to support genome annotation, genome analysis, modeling, systems biology, basic research and education. Plant Reactome employs the structural framework of a plant cell to show metabolic, transport, genetic, developmental and signaling pathways. We manually curate molecular details of pathways in these domains for reference species Oryza sativa (rice) supported by published literature and annotation of well-characterized genes. Two hundred twenty-two rice pathways, 1025 reactions associated with 1173 proteins, 907 small molecules and 256 literature references have been curated to date. These reference annotations were used to project pathways for 62 model, crop and evolutionarily significant plant species based on gene homology. Database users can search and browse various components of the database, visualize curated baseline expression of pathway-associated genes provided by the Expression Atlas and upload and analyze their Omics datasets. The database also offers data access via Application Programming Interfaces (APIs) and in various standardized pathway formats, such as SBML and BioPAX.
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Affiliation(s)
- Sushma Naithani
- 2082 Cordley Hall, Department of Botany & Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Justin Preece
- 2082 Cordley Hall, Department of Botany & Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Peter D'Eustachio
- Department of Biochemistry and Molecular Pharmacology, NYU School of Medicine, New York, NY 10016, USA
| | - Parul Gupta
- 2082 Cordley Hall, Department of Botany & Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Vindhya Amarasinghe
- 2082 Cordley Hall, Department of Botany & Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Palitha D Dharmawardhana
- 2082 Cordley Hall, Department of Botany & Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Guanming Wu
- Ontario Institute of Cancer Research, Toronto, ON M5G 0A3, Canada.,Oregon Health & Science University, Portland, OR 97239, USA
| | - Antonio Fabregat
- European Molecular Biology Laboratory - European Bioinformatics Institute, Hinxton, Cambridge CB10 1SD, UK
| | - Justin L Elser
- 2082 Cordley Hall, Department of Botany & Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Joel Weiser
- Ontario Institute of Cancer Research, Toronto, ON M5G 0A3, Canada
| | - Maria Keays
- European Molecular Biology Laboratory - European Bioinformatics Institute, Hinxton, Cambridge CB10 1SD, UK
| | | | - Robert Petryszak
- European Molecular Biology Laboratory - European Bioinformatics Institute, Hinxton, Cambridge CB10 1SD, UK
| | - Lincoln D Stein
- Ontario Institute of Cancer Research, Toronto, ON M5G 0A3, Canada
| | - Doreen Ware
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA.,United States Department of Agriculture - Agriculture Research Service, Robert W. Holley Center for Agriculture and Health, Ithaca, NY 14853, USA
| | - Pankaj Jaiswal
- 2082 Cordley Hall, Department of Botany & Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
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45
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Li L, Jaiswal P, Jurakhan R, Selvasandran K, Ridwan K, Makhoul G, Duong M, Cecere R. HYPOXIA MODULATES HUMAN PLACENTA-DERIVED MESENCHYMAL STEM CELLS MIGRATION IN VITRO FOR CARDIAC REPAIR. Can J Cardiol 2016. [DOI: 10.1016/j.cjca.2016.07.450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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46
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Selvasandran K, Jaiswal P, Jurakhan R, Makhoul G, Li L, Ridwan K, Cecere R. A NOVEL TNF-a INDUCED SECRETOME THERAPY FOR MYOCARDIAL PROTECTION AND REPAIR. Can J Cardiol 2016. [DOI: 10.1016/j.cjca.2016.07.363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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47
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Masih W, Rathore K, Jaiswal P. Study of cephalic index and shape of head in major castes of medical students of Rajasthan. J ANAT SOC INDIA 2016. [DOI: 10.1016/j.jasi.2016.08.058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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48
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Petryszak R, Keays M, Tang YA, Fonseca NA, Barrera E, Burdett T, Füllgrabe A, Fuentes AMP, Jupp S, Koskinen S, Mannion O, Huerta L, Megy K, Snow C, Williams E, Barzine M, Hastings E, Weisser H, Wright J, Jaiswal P, Huber W, Choudhary J, Parkinson HE, Brazma A. Expression Atlas update--an integrated database of gene and protein expression in humans, animals and plants. Nucleic Acids Res 2016; 44:D746-52. [PMID: 26481351 PMCID: PMC4702781 DOI: 10.1093/nar/gkv1045] [Citation(s) in RCA: 396] [Impact Index Per Article: 49.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2015] [Revised: 09/25/2015] [Accepted: 09/29/2015] [Indexed: 11/12/2022] Open
Abstract
Expression Atlas (http://www.ebi.ac.uk/gxa) provides information about gene and protein expression in animal and plant samples of different cell types, organism parts, developmental stages, diseases and other conditions. It consists of selected microarray and RNA-sequencing studies from ArrayExpress, which have been manually curated, annotated with ontology terms, checked for high quality and processed using standardised analysis methods. Since the last update, Atlas has grown seven-fold (1572 studies as of August 2015), and incorporates baseline expression profiles of tissues from Human Protein Atlas, GTEx and FANTOM5, and of cancer cell lines from ENCODE, CCLE and Genentech projects. Plant studies constitute a quarter of Atlas data. For genes of interest, the user can view baseline expression in tissues, and differential expression for biologically meaningful pairwise comparisons-estimated using consistent methodology across all of Atlas. Our first proteomics study in human tissues is now displayed alongside transcriptomics data in the same tissues. Novel analyses and visualisations include: 'enrichment' in each differential comparison of GO terms, Reactome, Plant Reactome pathways and InterPro domains; hierarchical clustering (by baseline expression) of most variable genes and experimental conditions; and, for a given gene-condition, distribution of baseline expression across biological replicates.
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Affiliation(s)
- Robert Petryszak
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK
| | - Maria Keays
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK
| | - Y Amy Tang
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK
| | - Nuno A Fonseca
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK
| | - Elisabet Barrera
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK
| | - Tony Burdett
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK
| | - Anja Füllgrabe
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK
| | | | - Simon Jupp
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK
| | - Satu Koskinen
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK
| | - Oliver Mannion
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK
| | - Laura Huerta
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK
| | - Karine Megy
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK
| | - Catherine Snow
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK
| | - Eleanor Williams
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK
| | - Mitra Barzine
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK
| | - Emma Hastings
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK
| | | | | | | | - Wolfgang Huber
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK
| | | | - Helen E Parkinson
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK
| | - Alvis Brazma
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK
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49
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Abstract
Gramene is an integrated informatics resource for accessing, visualizing, and comparing plant genomes and biological pathways. Originally targeting grasses, Gramene has grown to host annotations for economically important and research model crops, including wheat, potato, tomato, banana, grape, poplar, and Chlamydomonas. Its strength derives from the application of a phylogenetic framework for genome comparison and the use of ontologies to integrate structural and functional annotation data. This chapter outlines system requirements for end users and database hosting, data types and basic navigation within Gramene, and provides examples of how to (1) view a phylogenetic tree for a family of transcription factors, (2) explore genetic variation in the orthologues of a gene with a known trait association, and (3) upload, visualize, and privately share end user data into a new genome browser track.Moreover, this is the first publication describing Gramene's new web interface-intended to provide a simplified portal to the most complete and up-to-date set of plant genome and pathway annotations.
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Affiliation(s)
| | - Joshua Stein
- Cold Spring Harbor Laboratory, One Bungtown Road, Cold Spring Harbor, NY, 11724, USA
| | - Sharon Wei
- Cold Spring Harbor Laboratory, One Bungtown Road, Cold Spring Harbor, NY, 11724, USA
| | - Ken Youens-Clark
- Cold Spring Harbor Laboratory, One Bungtown Road, Cold Spring Harbor, NY, 11724, USA
| | - Pankaj Jaiswal
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, 97331, USA
| | - Doreen Ware
- Cold Spring Harbor Laboratory, One Bungtown Road, Cold Spring Harbor, NY, 11724, USA.
- USDA-ARS NEA Plant, Soil & Nutrition Laboratory Research Unit, Cornell University, Ithaca, NY, 14853, USA.
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50
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Naithani S, Partipilo CM, Raja R, Elser JL, Jaiswal P. FragariaCyc: A Metabolic Pathway Database for Woodland Strawberry Fragaria vesca. Front Plant Sci 2016; 7:242. [PMID: 26973684 PMCID: PMC4777718 DOI: 10.3389/fpls.2016.00242] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2015] [Accepted: 02/13/2016] [Indexed: 05/06/2023]
Abstract
FragariaCyc is a strawberry-specific cellular metabolic network based on the annotated genome sequence of Fragaria vesca L. ssp. vesca, accession Hawaii 4. It was built on the Pathway-Tools platform using MetaCyc as the reference. The experimental evidences from published literature were used for supporting/editing existing entities and for the addition of new pathways, enzymes, reactions, compounds, and small molecules in the database. To date, FragariaCyc comprises 66 super-pathways, 488 unique pathways, 2348 metabolic reactions, 3507 enzymes, and 2134 compounds. In addition to searching and browsing FragariaCyc, researchers can compare pathways across various plant metabolic networks and analyze their data using Omics Viewer tool. We view FragariaCyc as a resource for the community of researchers working with strawberry and related fruit crops. It can help understanding the regulation of overall metabolism of strawberry plant during development and in response to diseases and abiotic stresses. FragariaCyc is available online at http://pathways.cgrb.oregonstate.edu.
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