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Morales N, Ogbonna AC, Ellerbrock BJ, Bauchet GJ, Tantikanjana T, Tecle IY, Powell AF, Lyon D, Menda N, Simoes CC, Saha S, Hosmani P, Flores M, Panitz N, Preble RS, Agbona A, Rabbi I, Kulakow P, Peteti P, Kawuki R, Esuma W, Kanaabi M, Chelangat DM, Uba E, Olojede A, Onyeka J, Shah T, Karanja M, Egesi C, Tufan H, Paterne A, Asfaw A, Jannink JL, Wolfe M, Birkett CL, Waring DJ, Hershberger JM, Gore MA, Robbins KR, Rife T, Courtney C, Poland J, Arnaud E, Laporte MA, Kulembeka H, Salum K, Mrema E, Brown A, Bayo S, Uwimana B, Akech V, Yencho C, de Boeck B, Campos H, Swennen R, Edwards JD, Mueller LA. Breedbase: a digital ecosystem for modern plant breeding. G3 GENES|GENOMES|GENETICS 2022; 12:6564228. [PMID: 35385099 PMCID: PMC9258556 DOI: 10.1093/g3journal/jkac078] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Accepted: 02/14/2022] [Indexed: 01/17/2023]
Abstract
Modern breeding methods integrate next-generation sequencing and phenomics to identify plants with the best characteristics and greatest genetic merit for use as parents in subsequent breeding cycles to ultimately create improved cultivars able to sustain high adoption rates by farmers. This data-driven approach hinges on strong foundations in data management, quality control, and analytics. Of crucial importance is a central database able to (1) track breeding materials, (2) store experimental evaluations, (3) record phenotypic measurements using consistent ontologies, (4) store genotypic information, and (5) implement algorithms for analysis, prediction, and selection decisions. Because of the complexity of the breeding process, breeding databases also tend to be complex, difficult, and expensive to implement and maintain. Here, we present a breeding database system, Breedbase (https://breedbase.org/, last accessed 4/18/2022). Originally initiated as Cassavabase (https://cassavabase.org/, last accessed 4/18/2022) with the NextGen Cassava project (https://www.nextgencassava.org/, last accessed 4/18/2022), and later developed into a crop-agnostic system, it is presently used by dozens of different crops and projects. The system is web based and is available as open source software. It is available on GitHub (https://github.com/solgenomics/, last accessed 4/18/2022) and packaged in a Docker image for deployment (https://hub.docker.com/u/breedbase, last accessed 4/18/2022). The Breedbase system enables breeding programs to better manage and leverage their data for decision making within a fully integrated digital ecosystem.
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Affiliation(s)
- Nicolas Morales
- Boyce Thompson Institute , Ithaca, NY 14853, USA
- Cornell University , Ithaca, NY 14853, USA
| | - Alex C Ogbonna
- Boyce Thompson Institute , Ithaca, NY 14853, USA
- Cornell University , Ithaca, NY 14853, USA
| | | | | | | | | | | | - David Lyon
- Boyce Thompson Institute , Ithaca, NY 14853, USA
| | - Naama Menda
- Boyce Thompson Institute , Ithaca, NY 14853, USA
| | | | - Surya Saha
- Boyce Thompson Institute , Ithaca, NY 14853, USA
| | | | | | | | | | | | | | | | | | | | | | | | | | - Ezenwanyi Uba
- National Root Crops Research Institute (NRCRI) , 463109 Umudike, Nigeria
| | - Adeyemi Olojede
- National Root Crops Research Institute (NRCRI) , 463109 Umudike, Nigeria
| | - Joseph Onyeka
- National Root Crops Research Institute (NRCRI) , 463109 Umudike, Nigeria
| | | | | | - Chiedozie Egesi
- Boyce Thompson Institute , Ithaca, NY 14853, USA
- IITA Ibadan , 200001 Ibadan, Nigeria
- National Root Crops Research Institute (NRCRI) , 463109 Umudike, Nigeria
| | - Hale Tufan
- Cornell University , Ithaca, NY 14853, USA
| | | | | | - Jean-Luc Jannink
- Cornell University , Ithaca, NY 14853, USA
- USDA-ARS , Ithaca, NY 14853, USA
| | | | - Clay L Birkett
- Cornell University , Ithaca, NY 14853, USA
- USDA-ARS , Ithaca, NY 14853, USA
| | - David J Waring
- Cornell University , Ithaca, NY 14853, USA
- USDA-ARS , Ithaca, NY 14853, USA
| | | | | | | | - Trevor Rife
- Kansas State University , Manhattan, KS 66506, USA
| | | | - Jesse Poland
- Kansas State University , Manhattan, KS 66506, USA
| | | | | | | | | | | | | | | | | | | | - Craig Yencho
- North Carolina State University (NCSU) , Raleigh, NC 27695, USA
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Buble K, Jung S, Humann JL, Yu J, Cheng CH, Lee T, Ficklin SP, Hough H, Condon B, Staton ME, Wegrzyn JL, Main D. Tripal MapViewer: A tool for interactive visualization and comparison of genetic maps. Database (Oxford) 2019; 2019:baz100. [PMID: 31688940 PMCID: PMC6829499 DOI: 10.1093/database/baz100] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2018] [Revised: 06/09/2019] [Accepted: 07/16/2019] [Indexed: 11/14/2022]
Abstract
Tripal is an open-source, resource-efficient toolkit for construction of genomic, genetic and breeding databases. It facilitates development of biological websites by providing tools to integrate and display biological data using the generic database schema, Chado, together with Drupal, a popular website creation and content management system. Tripal MapViewer is a new interactive tool for visualizing genetic map data. Developed as a Tripal replacement for Comparative Map Viewer (CMap), it enables visualization of entire maps or linkage groups and features such as molecular markers, quantitative trait loci (QTLs) and heritable phenotypic markers. It also provides graphical comparison of maps sharing the same markers as well as dot plot and correspondence matrices. MapViewer integrates directly with the Tripal application programming interface framework, improving data searching capability and providing a more seamless experience for site visitors. The Tripal MapViewer interface can be integrated in any Tripal map page and linked from any Tripal page for markers, QTLs, heritable morphological markers or genes. Configuration of the display is available through a control panel and the administration interface. The administration interface also allows configuration of the custom database query for building materialized views, providing better performance and flexibility in the way data is stored in the Chado database schema. MapViewer is implemented with the D3.js technology and is currently being used at the Genome Database for Rosaceae (https://www.rosaceae.org), CottonGen (https://www.cottongen.org), Citrus Genome Database (https://citrusgenomedb.org), Vaccinium Genome Database (https://www.vaccinium.org) and Cool Season Food Legume Database (https://www.coolseasonfoodlegume.org). It is also currently in development on the Hardwood Genomics Web (https://hardwoodgenomics.org) and TreeGenes (https://treegenesdb.org). Database URL: https://gitlab.com/mainlabwsu/tripal_map.
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Affiliation(s)
- Katheryn Buble
- Department of Horticulture, Washington State University, Pullman, WA 99164-6414, USA
| | - Sook Jung
- Department of Horticulture, Washington State University, Pullman, WA 99164-6414, USA
| | - Jodi L Humann
- Department of Horticulture, Washington State University, Pullman, WA 99164-6414, USA
| | - Jing Yu
- Department of Horticulture, Washington State University, Pullman, WA 99164-6414, USA
| | - Chun-Huai Cheng
- Department of Horticulture, Washington State University, Pullman, WA 99164-6414, USA
| | - Taein Lee
- Department of Horticulture, Washington State University, Pullman, WA 99164-6414, USA
| | - Stephen P Ficklin
- Department of Horticulture, Washington State University, Pullman, WA 99164-6414, USA
| | - Heidi Hough
- Department of Horticulture, Washington State University, Pullman, WA 99164-6414, USA
| | - Bradford Condon
- Department of Entomology and Plant Pathology, University of Tennessee, Knoxville, TN 37996, USA
| | - Margaret E Staton
- Department of Entomology and Plant Pathology, University of Tennessee, Knoxville, TN 37996, USA
| | - Jill L Wegrzyn
- Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT 06269, USA
| | - Dorrie Main
- Department of Horticulture, Washington State University, Pullman, WA 99164-6414, USA
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Choe J, Kim JE, Lee BW, Lee JH, Nam M, Park YI, Jo SH. A comparative synteny analysis tool for target-gene SNP marker discovery: connecting genomics data to breeding in Solanaceae. DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION 2018; 2018:5032609. [PMID: 29873704 PMCID: PMC6007222 DOI: 10.1093/database/bay047] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/18/2017] [Accepted: 04/23/2018] [Indexed: 11/20/2022]
Abstract
It is necessary for molecular breeders to overcome the difficulties in applying abundant genomic information to crop breeding. Candidate orthologs would be discovered more efficiently in less-studied crops if the information gained from studies of related crops were used. We developed a comparative analysis tool and web-based genome viewer to identify orthologous genes based synteny as well as sequence similarity between tomato, pepper and potato. The tool has a step-by-step interface with multiple viewing levels to support the easy and accurate exploration of functional orthologs. Furthermore, it provides access to single nucleotide-polymorphism markers from the massive genetic resource pool in order to accelerate the development of molecular markers for candidate orthologs in the Solanaceae. This tool provides a bridge between genome data and breeding by supporting effective marker development, data utilization and communication. Database URL: http://tgsol.seeders.co.kr/scomp/
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Affiliation(s)
- Junkyoung Choe
- SEEDERS Inc, Daejeon 34015, Republic of Korea.,School of Medicine, Biological Sciences, Chungnam National University, Daejeon 34134, Republic of Korea
| | - Ji-Eun Kim
- SEEDERS Inc, Daejeon 34015, Republic of Korea
| | | | | | - Moon Nam
- SEEDERS Inc, Daejeon 34015, Republic of Korea
| | - Youn-Il Park
- School of Medicine, Biological Sciences, Chungnam National University, Daejeon 34134, Republic of Korea
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Mehra M, Gangwar I, Shankar R. A Deluge of Complex Repeats: The Solanum Genome. PLoS One 2015; 10:e0133962. [PMID: 26241045 PMCID: PMC4524691 DOI: 10.1371/journal.pone.0133962] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2015] [Accepted: 07/06/2015] [Indexed: 12/18/2022] Open
Abstract
Repetitive elements have lately emerged as key components of genome, performing varieties of roles. It has now become necessary to have an account of repeats for every genome to understand its dynamics and state. Recently, genomes of two major Solanaceae species, Solanum tuberosum and Solanum lycopersicum, were sequenced. These species are important crops having high commercial significance as well as value as model species. However, there is a reasonable gap in information about repetitive elements and their possible roles in genome regulation for these species. The present study was aimed at detailed identification and characterization of complex repetitive elements in these genomes, along with study of their possible functional associations as well as to assess possible transcriptionally active repetitive elements. In this study, it was found that ~50-60% of genomes of S. tuberosum and S. lycopersicum were composed of repetitive elements. It was also found that complex repetitive elements were associated with >95% of genes in both species. These two genomes are mostly composed of LTR retrotransposons. Two novel repeat families very similar to LTR/ERV1 and LINE/RTE-BovB have been reported for the first time. Active existence of complex repeats was estimated by measuring their transcriptional abundance using Next Generation Sequencing read data and Microarray platforms. A reasonable amount of regulatory components like transcription factor binding sites and miRNAs appear to be under the influence of these complex repetitive elements in these species, while several genes appeared to possess exonized repeats.
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MESH Headings
- Base Sequence
- Binding Sites
- Chromosomes, Plant/genetics
- DNA, Plant/genetics
- Evolution, Molecular
- Exons/genetics
- Gene Expression Regulation, Plant/genetics
- Genome, Plant
- Humans
- INDEL Mutation
- Solanum lycopersicum/genetics
- MicroRNAs/genetics
- Molecular Sequence Data
- Phylogeny
- Plant Proteins/metabolism
- RNA, Messenger/biosynthesis
- RNA, Messenger/genetics
- RNA, Plant/biosynthesis
- RNA, Plant/genetics
- Repetitive Sequences, Nucleic Acid
- Retroelements/genetics
- Sequence Alignment
- Solanum tuberosum/genetics
- Species Specificity
- Terminal Repeat Sequences
- Transcription Factors/metabolism
- Transcription, Genetic
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Affiliation(s)
- Mrigaya Mehra
- Studio of Computational Biology & Bioinformatics, Biotechnology Division, CSIR-Institute of Himalayan Bioresource Technology (CSIR-IHBT), Palampur, 176061, HP, India
- Academy of Scientific & Innovative Research, Chennai, India
| | - Indu Gangwar
- Studio of Computational Biology & Bioinformatics, Biotechnology Division, CSIR-Institute of Himalayan Bioresource Technology (CSIR-IHBT), Palampur, 176061, HP, India
- Academy of Scientific & Innovative Research, Chennai, India
| | - Ravi Shankar
- Studio of Computational Biology & Bioinformatics, Biotechnology Division, CSIR-Institute of Himalayan Bioresource Technology (CSIR-IHBT), Palampur, 176061, HP, India
- Academy of Scientific & Innovative Research, Chennai, India
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5
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Jagtap S, Shivaprasad PV. Diversity, expression and mRNA targeting abilities of Argonaute-targeting miRNAs among selected vascular plants. BMC Genomics 2014; 15:1049. [PMID: 25443390 PMCID: PMC4300679 DOI: 10.1186/1471-2164-15-1049] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2014] [Accepted: 11/12/2014] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Micro (mi)RNAs are important regulators of plant development. Across plant lineages, Dicer-like 1 (DCL1) proteins process long ds-like structures to produce micro (mi) RNA duplexes in a stepwise manner. These miRNAs are incorporated into Argonaute (AGO) proteins and influence expression of RNAs that have sequence complementarity with miRNAs. Expression levels of AGOs are greatly regulated by plants in order to minimize unwarranted perturbations using miRNAs to target mRNAs coding for AGOs. AGOs may also have high promoter specificity-sometimes expression of AGO can be limited to just a few cells in a plant. Viral pathogens utilize various means to counter antiviral roles of AGOs including hijacking the host encoded miRNAs to target AGOs. Two host encoded miRNAs namely miR168 and miR403 that target AGOs have been described in the model plant Arabidopsis and such a mechanism is thought to be well conserved across plants because AGO sequences are well conserved. RESULTS We show that the interaction between AGO mRNAs and miRNAs is species-specific due to the diversity in sequences of two miRNAs that target AGOs, sequence diversity among corresponding target regions in AGO mRNAs and variable expression levels of these miRNAs among vascular plants. We used miRNA sequences from 68 plant species representing 31 plant families for this analysis. Sequences of miR168 and miR403 are not conserved among plant lineages, but surprisingly they differ drastically in their sequence diversity and expression levels even among closely related plants. Variation in miR168 expression among plants correlates well with secondary structures/length of loop sequences of their precursors. CONCLUSIONS Our data indicates a complex AGO targeting interaction among plant lineages due to miRNA sequence diversity and sequences of miRNA targeting regions among AGO mRNAs, thus leading to the assumption that the perturbations by viruses that use host miRNAs to target antiviral AGOs can only be species-specific. We also show that rapid evolution and likely loss of expression of miR168 isoforms in tobacco is related to the insertion of MITE-like transposons between miRNA and miRNA* sequences, a possible mechanism showing how miRNAs are lost in few plant lineages even though other close relatives have abundantly expressing miRNAs.
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Affiliation(s)
| | - Padubidri V Shivaprasad
- National Centre for Biological Sciences, GKVK Campus, Bellary Road, Bangalore 560 065, India.
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Fernandez-Pozo N, Menda N, Edwards JD, Saha S, Tecle IY, Strickler SR, Bombarely A, Fisher-York T, Pujar A, Foerster H, Yan A, Mueller LA. The Sol Genomics Network (SGN)--from genotype to phenotype to breeding. Nucleic Acids Res 2014; 43:D1036-41. [PMID: 25428362 PMCID: PMC4383978 DOI: 10.1093/nar/gku1195] [Citation(s) in RCA: 363] [Impact Index Per Article: 36.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
The Sol Genomics Network (SGN, http://solgenomics.net) is a web portal with genomic and phenotypic data, and analysis tools for the Solanaceae family and close relatives. SGN hosts whole genome data for an increasing number of Solanaceae family members including tomato, potato, pepper, eggplant, tobacco and Nicotiana benthamiana. The database also stores loci and phenotype data, which researchers can upload and edit with user-friendly web interfaces. Tools such as BLAST, GBrowse and JBrowse for browsing genomes, expression and map data viewers, a locus community annotation system and a QTL analysis tools are available. A new tool was recently implemented to improve Virus-Induced Gene Silencing (VIGS) constructs called the SGN VIGS tool. With the growing genomic and phenotypic data in the database, SGN is now advancing to develop new web-based breeding tools and implement the code and database structure for other species or clade-specific databases.
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Affiliation(s)
| | - Naama Menda
- Boyce Thompson Institute for Plant Research, Ithaca, NY 14853, USA
| | - Jeremy D Edwards
- Dale Bumpers National Rice Research Center, Stuttgart, AR 72160, USA
| | - Surya Saha
- Boyce Thompson Institute for Plant Research, Ithaca, NY 14853, USA Department of Plant Pathology and Plant-Microbe Biology, Cornell University, Ithaca, NY 14853, USA
| | - Isaak Y Tecle
- Boyce Thompson Institute for Plant Research, Ithaca, NY 14853, USA
| | | | - Aureliano Bombarely
- Department of Horticulture, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061-0002, USA
| | | | - Anuradha Pujar
- Boyce Thompson Institute for Plant Research, Ithaca, NY 14853, USA
| | - Hartmut Foerster
- Boyce Thompson Institute for Plant Research, Ithaca, NY 14853, USA
| | - Aimin Yan
- Boyce Thompson Institute for Plant Research, Ithaca, NY 14853, USA
| | - Lukas A Mueller
- Boyce Thompson Institute for Plant Research, Ithaca, NY 14853, USA Department of Plant Breeding, Cornell University, Ithaca, NY 14853, USA
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7
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Paterson T, Law A. ArkMAP: integrating genomic maps across species and data sources. BMC Bioinformatics 2013; 14:246. [PMID: 23941167 PMCID: PMC3751345 DOI: 10.1186/1471-2105-14-246] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2013] [Accepted: 08/09/2013] [Indexed: 11/20/2022] Open
Abstract
Background The visualisation of genetic and genomic maps aligned within and between species and across data sources can be used to inform studies of genome evolution, assist genome assembly projects and aid gene discovery and identification. Whilst annotation, integration and exploration of assembled genome sequences is well supported, there are fewer tools available which can display genetic maps for less well-characterized species, and integrate these maps with annotated reference genomes to support cross species comparisons. Results We have developed a desktop application to draw and align genetic and genomic maps, retrieved from remote data sources or loaded as local files. Maps can be retrieved from our public map database ArkDB or from any Ensembl data source (i.e. Ensembl and Ensembl Genomes). By using the JEnsembl API, maps can be drawn for any release version of any of the thousands of species present in Ensembl data sources, allowing not only inter-specific comparisons, but also comparisons between different versions/revisions of assembled genomes. Maps can be aligned by relating identical or synonymous markers across maps, or through the gene homology/orthology relationship data stored in the Ensembl Compara databases, allowing ready visualization of regions of conserved synteny between species. The map drawing canvas is highly configurable, supports interactive exploration of maps, markers and relationships and allows export of publication quality graphics. Conclusions ArkMAP allows users to draw and interactively explore gene and variation maps for any version of any annotated genome curated in the Ensembl data sources, and to integrate local mapping data. The maps and inter-map relationships drawn are highly configurable and ArkMAP may be used to produce publication quality graphics. ArkMAP is freely available as an auto-updating Java ‘Web Start’ application, or as a standalone archived application.
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Affiliation(s)
- Trevor Paterson
- Division of Genetics and Genomics, The Roslin Institute, Royal-Dick School of Veterinary Studies, University of Edinburgh, Easter Bush, Midlothian EH25 9RG, UK.
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8
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Pujar A, Menda N, Bombarely A, Edwards JD, Strickler SR, Mueller LA. From manual curation to visualization of gene families and networks across Solanaceae plant species. DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION 2013; 2013:bat028. [PMID: 23681907 PMCID: PMC3655285 DOI: 10.1093/database/bat028] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
High-quality manual annotation methods and practices need to be scaled to the increased rate of genomic data production. Curation based on gene families and gene networks is one approach that can significantly increase both curation efficiency and quality. The Sol Genomics Network (SGN; http://solgenomics.net) is a comparative genomics platform, with genetic, genomic and phenotypic information of the Solanaceae family and its closely related species that incorporates a community-based gene and phenotype curation system. In this article, we describe a manual curation system for gene families aimed at facilitating curation, querying and visualization of gene interaction patterns underlying complex biological processes, including an interface for efficiently capturing information from experiments with large data sets reported in the literature. Well-annotated multigene families are useful for further exploration of genome organization and gene evolution across species. As an example, we illustrate the system with the multigene transcription factor families, WRKY and Small Auxin Up-regulated RNA (SAUR), which both play important roles in responding to abiotic stresses in plants. Database URL:http://solgenomics.net/
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Affiliation(s)
- Anuradha Pujar
- Boyce Thompson Institute for Plant Research, 533, Tower Road, Ithaca, NY 14853, USA
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9
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Wei J, Hu X, Yang J, Yang W. Identification of single-copy orthologous genes between Physalis and Solanum lycopersicum and analysis of genetic diversity in Physalis using molecular markers. PLoS One 2012; 7:e50164. [PMID: 23166835 PMCID: PMC3500348 DOI: 10.1371/journal.pone.0050164] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2012] [Accepted: 10/19/2012] [Indexed: 11/26/2022] Open
Abstract
The genus Physalis includes a number of commercially important edible and ornamental species. Its high nutritional value and potential medicinal properties leads to the increased commercial interest in the products of this genus worldwide. However, lack of molecular markers prevents the detailed study of genetics and phylogeny in Physalis, which limits the progress of breeding. In the present study, we compared the DNA sequences between Physalis and tomato, and attempted to analyze genetic diversity in Physalis using tomato markers. Blasting 23180 DNA sequences derived from Physalis against the International Tomato Annotation Group (ITAG) Release2.3 Predicted CDS (SL2.40) discovered 3356 single-copy orthologous genes between them. A total of 38 accessions from at least six species of Physalis were subjected to genetic diversity analysis using 97 tomato markers and 25 SSR markers derived from P. peruviana. Majority (73.2%) of tomato markers could amplify DNA fragments from at least one accession of Physalis. Diversity in Physalis at molecular level was also detected. The average Nei's genetic distance between accessions was 0.3806 with a range of 0.2865 to 0.7091. These results indicated Physalis and tomato had similarity at both molecular marker and DNA sequence levels. Therefore, the molecular markers developed in tomato can be used in genetic study in Physalis.
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Affiliation(s)
- Jingli Wei
- Beijing Key Laboratory of Growth and Developmental Regulation for Protected Vegetable Crops, Department of Vegetable Science, China Agricultural University, No. 2 Yuanmingyuan Xilu, Beijing, China
| | - Xiaorong Hu
- The National Key Facilities for Crop Genetic Resources and Improvement, Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Jingjing Yang
- Beijing Key Laboratory of Growth and Developmental Regulation for Protected Vegetable Crops, Department of Vegetable Science, China Agricultural University, No. 2 Yuanmingyuan Xilu, Beijing, China
| | - Wencai Yang
- Beijing Key Laboratory of Growth and Developmental Regulation for Protected Vegetable Crops, Department of Vegetable Science, China Agricultural University, No. 2 Yuanmingyuan Xilu, Beijing, China
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10
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Almeida J, Quadrana L, Asís R, Setta N, de Godoy F, Bermúdez L, Otaiza SN, Corrêa da Silva JV, Fernie AR, Carrari F, Rossi M. Genetic dissection of vitamin E biosynthesis in tomato. JOURNAL OF EXPERIMENTAL BOTANY 2011; 62:3781-98. [PMID: 21527625 PMCID: PMC3134339 DOI: 10.1093/jxb/err055] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/25/2010] [Revised: 02/07/2011] [Accepted: 02/08/2011] [Indexed: 05/20/2023]
Abstract
Vegetables are critical for human health as they are a source of multiple vitamins including vitamin E (VTE). In plants, the synthesis of VTE compounds, tocopherol and tocotrienol, derives from precursors of the shikimate and methylerythritol phosphate pathways. Quantitative trait loci (QTL) for α-tocopherol content in ripe fruit have previously been determined in an Solanum pennellii tomato introgression line population. In this work, variations of tocopherol isoforms (α, β, γ, and δ) in ripe fruits of these lines were studied. In parallel all tomato genes structurally associated with VTE biosynthesis were identified and mapped. Previously identified VTE QTL on chromosomes 6 and 9 were confirmed whilst novel ones were identified on chromosomes 7 and 8. Integrated analysis at the metabolic, genetic and genomic levels allowed us to propose 16 candidate loci putatively affecting tocopherol content in tomato. A comparative analysis revealed polymorphisms at nucleotide and amino acid levels between Solanum lycopersicum and S. pennellii candidate alleles. Moreover, evolutionary analyses showed the presence of codons evolving under both neutral and positive selection, which may explain the phenotypic differences between species. These data represent an important step in understanding the genetic determinants of VTE natural variation in tomato fruit and as such in the ability to improve the content of this important nutriceutical.
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Affiliation(s)
- Juliana Almeida
- Departamento de Botânica-IB-USP, 277, 05508-900, São Paulo, SP, Brazil
| | - Leandro Quadrana
- Instituto de Biotecnología, Instituto Nacional de Tecnología Agropecuaría (IB-INTA), and Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), PO Box 25, B1712WAA Castelar, Argentina (partner group of the Max Planck Institute for Molecular Plant Physiology, Potsdam-Golm, Germany)
| | - Ramón Asís
- CIBICI, Facultad de Ciencias Químicas Universidad Nacional de Córdoba, CC 5000, Córdoba, Argentina
| | - Nathalia Setta
- Departamento de Botânica-IB-USP, 277, 05508-900, São Paulo, SP, Brazil
| | - Fabiana de Godoy
- Departamento de Botânica-IB-USP, 277, 05508-900, São Paulo, SP, Brazil
| | - Luisa Bermúdez
- Departamento de Botânica-IB-USP, 277, 05508-900, São Paulo, SP, Brazil
| | - Santiago N. Otaiza
- CIBICI, Facultad de Ciencias Químicas Universidad Nacional de Córdoba, CC 5000, Córdoba, Argentina
| | | | - Alisdair R. Fernie
- Max Planck Institute for Molecular Plant Physiology, Wissenschaftspark Golm, Am Mühlenberg 1, Potsdam-Golm, D-14476, Germany
| | - Fernando Carrari
- Instituto de Biotecnología, Instituto Nacional de Tecnología Agropecuaría (IB-INTA), and Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), PO Box 25, B1712WAA Castelar, Argentina (partner group of the Max Planck Institute for Molecular Plant Physiology, Potsdam-Golm, Germany)
| | - Magdalena Rossi
- Departamento de Botânica-IB-USP, 277, 05508-900, São Paulo, SP, Brazil
- To whom correspondence should be addressed. E-mail: ; E-mail:
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Bayer M, Milne I, Stephen G, Shaw P, Cardle L, Wright F, Marshall D. Comparative visualization of genetic and physical maps with Strudel. Bioinformatics 2011; 27:1307-8. [PMID: 21372085 PMCID: PMC3077070 DOI: 10.1093/bioinformatics/btr111] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
UNLABELLED Data visualization can play a key role in comparative genomics, for example, underpinning the investigation of conserved synteny patterns. Strudel is a desktop application that allows users to easily compare both genetic and physical maps interactively and efficiently. It can handle large datasets from several genomes simultaneously, and allows all-by-all comparisons between these. AVAILABILITY AND IMPLEMENTATION Installers for Strudel are available for Windows, Linux, Solaris and Mac OS X at http://bioinf.scri.ac.uk/strudel/.
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Affiliation(s)
- Micha Bayer
- Genetics Programme, Scottish Crop Research Institute and Biomathematics and Statistics Scotland, Invergowrie, Dundee, UK.
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Danan S, Veyrieras JB, Lefebvre V. Construction of a potato consensus map and QTL meta-analysis offer new insights into the genetic architecture of late blight resistance and plant maturity traits. BMC PLANT BIOLOGY 2011; 11:16. [PMID: 21247437 PMCID: PMC3037844 DOI: 10.1186/1471-2229-11-16] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/11/2010] [Accepted: 01/19/2011] [Indexed: 05/17/2023]
Abstract
BACKGROUND Integrating QTL results from independent experiments performed on related species helps to survey the genetic diversity of loci/alleles underlying complex traits, and to highlight potential targets for breeding or QTL cloning. Potato (Solanum tuberosum L.) late blight resistance has been thoroughly studied, generating mapping data for many Rpi-genes (R-genes to Phytophthora infestans) and QTLs (quantitative trait loci). Moreover, late blight resistance was often associated with plant maturity. To get insight into the genomic organization of late blight resistance loci as compared to maturity QTLs, a QTL meta-analysis was performed for both traits. RESULTS Nineteen QTL publications for late blight resistance were considered, seven of them reported maturity QTLs. Twenty-one QTL maps and eight reference maps were compiled to construct a 2,141-marker consensus map on which QTLs were projected and clustered into meta-QTLs. The whole-genome QTL meta-analysis reduced by six-fold late blight resistance QTLs (by clustering 144 QTLs into 24 meta-QTLs), by ca. five-fold maturity QTLs (by clustering 42 QTLs into eight meta-QTLs), and by ca. two-fold QTL confidence interval mean. Late blight resistance meta-QTLs were observed on every chromosome and maturity meta-QTLs on only six chromosomes. CONCLUSIONS Meta-analysis helped to refine the genomic regions of interest frequently described, and provided the closest flanking markers. Meta-QTLs of late blight resistance and maturity juxtaposed along chromosomes IV, V and VIII, and overlapped on chromosomes VI and XI. The distribution of late blight resistance meta-QTLs is significantly independent from those of Rpi-genes, resistance gene analogs and defence-related loci. The anchorage of meta-QTLs to the potato genome sequence, recently publicly released, will especially improve the candidate gene selection to determine the genes underlying meta-QTLs. All mapping data are available from the Sol Genomics Network (SGN) database.
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Affiliation(s)
- Sarah Danan
- Institut National de la Recherche Agronomique (INRA), UR 1052 Génétique et Amélioration des Fruits et Légumes (GAFL), BP94, 84140 Montfavet, France
| | - Jean-Baptiste Veyrieras
- Institut National de la Recherche Agronomique (INRA-UPS-INA PG-CNRS), UMR 320 Génétique Végétale, Ferme du Moulon, 91190 Gif-sur-Yvette, France
| | - Véronique Lefebvre
- Institut National de la Recherche Agronomique (INRA), UR 1052 Génétique et Amélioration des Fruits et Légumes (GAFL), BP94, 84140 Montfavet, France
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Bazzini AA, Asís R, González V, Bassi S, Conte M, Soria M, Fernie AR, Asurmendi S, Carrari F. miSolRNA: A tomato micro RNA relational database. BMC PLANT BIOLOGY 2010; 10:240. [PMID: 21059227 PMCID: PMC3095322 DOI: 10.1186/1471-2229-10-240] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2010] [Accepted: 11/08/2010] [Indexed: 05/22/2023]
Abstract
BACKGROUND The economic importance of Solanaceae plant species is well documented and tomato has become a model for functional genomics studies. In plants, important processes are regulated by microRNAs (miRNA). DESCRIPTION We describe here a data base integrating genetic map positions of miRNA-targeted genes, their expression profiles and their relations with quantitative fruit metabolic loci and yield associated traits. miSolRNA provides a metadata source to facilitate the construction of hypothesis aimed at defining physiological modes of action of regulatory process underlying the metabolism of the tomato fruit. CONCLUSIONS The MiSolRNA database allows the simple extraction of metadata for the proposal of new hypothesis concerning possible roles of miRNAs in the regulation of tomato fruit metabolism. It permits i) to map miRNAs and their predicted target sites both on expressed (SGN-UNIGENES) and newly annotated sequences (BAC sequences released), ii) to co-locate any predicted miRNA-target interaction with metabolic QTL found in tomato fruits, iii) to retrieve expression data of target genes in tomato fruit along their developmental period and iv) to design further experiments for unresolved questions in complex trait biology based on the use of genetic materials that have been proven to be a useful tools for map-based cloning experiments in Solanaceae plant species.
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Affiliation(s)
- Ariel A Bazzini
- Instituto de Biotecnología, Instituto Nacional de Tecnología Agropecuaria (IB-INTA) (Partner group of Institution 5), P.O. BOX 25, B1712WAA Castelar, Argentina
| | - Ramón Asís
- Instituto de Biotecnología, Instituto Nacional de Tecnología Agropecuaria (IB-INTA) (Partner group of Institution 5), P.O. BOX 25, B1712WAA Castelar, Argentina
- CIBICI, Facultad de Ciencias Químicas Universidad Nacional de Córdoba, CC 5000, Haya de la Torre y Medina Allende, Córdoba, Argentina
| | | | | | - Mariana Conte
- Instituto de Biotecnología, Instituto Nacional de Tecnología Agropecuaria (IB-INTA) (Partner group of Institution 5), P.O. BOX 25, B1712WAA Castelar, Argentina
| | - Marcelo Soria
- Facultad de Agronomía. Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Alisdair R Fernie
- Max Planck Institute for Molecular Plant Physiology, Wissenschaftspark Golm, Am Mühlenberg 1, Potsdam-Golm, D-14476, Germany
| | - Sebastián Asurmendi
- Instituto de Biotecnología, Instituto Nacional de Tecnología Agropecuaria (IB-INTA) (Partner group of Institution 5), P.O. BOX 25, B1712WAA Castelar, Argentina
| | - Fernando Carrari
- Instituto de Biotecnología, Instituto Nacional de Tecnología Agropecuaria (IB-INTA) (Partner group of Institution 5), P.O. BOX 25, B1712WAA Castelar, Argentina
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Tecle IY, Menda N, Buels RM, van der Knaap E, Mueller LA. solQTL: a tool for QTL analysis, visualization and linking to genomes at SGN database. BMC Bioinformatics 2010; 11:525. [PMID: 20964836 PMCID: PMC2984588 DOI: 10.1186/1471-2105-11-525] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2010] [Accepted: 10/21/2010] [Indexed: 11/23/2022] Open
Abstract
Background A common approach to understanding the genetic basis of complex traits is through identification of associated quantitative trait loci (QTL). Fine mapping QTLs requires several generations of backcrosses and analysis of large populations, which is time-consuming and costly effort. Furthermore, as entire genomes are being sequenced and an increasing amount of genetic and expression data are being generated, a challenge remains: linking phenotypic variation to the underlying genomic variation. To identify candidate genes and understand the molecular basis underlying the phenotypic variation of traits, bioinformatic approaches are needed to exploit information such as genetic map, expression and whole genome sequence data of organisms in biological databases. Description The Sol Genomics Network (SGN, http://solgenomics.net) is a primary repository for phenotypic, genetic, genomic, expression and metabolic data for the Solanaceae family and other related Asterids species and houses a variety of bioinformatics tools. SGN has implemented a new approach to QTL data organization, storage, analysis, and cross-links with other relevant data in internal and external databases. The new QTL module, solQTL, http://solgenomics.net/qtl/, employs a user-friendly web interface for uploading raw phenotype and genotype data to the database, R/QTL mapping software for on-the-fly QTL analysis and algorithms for online visualization and cross-referencing of QTLs to relevant datasets and tools such as the SGN Comparative Map Viewer and Genome Browser. Here, we describe the development of the solQTL module and demonstrate its application. Conclusions solQTL allows Solanaceae researchers to upload raw genotype and phenotype data to SGN, perform QTL analysis and dynamically cross-link to relevant genetic, expression and genome annotations. Exploration and synthesis of the relevant data is expected to help facilitate identification of candidate genes underlying phenotypic variation and markers more closely linked to QTLs. solQTL is freely available on SGN and can be used in private or public mode.
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Affiliation(s)
- Isaak Y Tecle
- Boyce Thompson Institute for Plant Research, Tower Rd, Ithaca, NY 14853, USA
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Gupta V, Mathur S, Solanke AU, Sharma MK, Kumar R, Vyas S, Khurana P, Khurana JP, Tyagi AK, Sharma AK. Genome analysis and genetic enhancement of tomato. Crit Rev Biotechnol 2009; 29:152-81. [PMID: 19319709 DOI: 10.1080/07388550802688870] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
The Solanaceae is an important family of vegetable crops, ornamentals and medicinal plants. Tomato has served as a model member of this family largely because of its enriched cytogenetic, genetic, as well as physical, maps. Mapping has helped in cloning several genes of importance such as Pto, responsible for resistance against bacterial speck disease, Mi-1.2 for resistance against nematodes, and fw2.2 QTL for fruit weight. A high-throughput genome-sequencing program has been initiated by an international consortium of 10 countries. Since heterochromatin has been found to be concentrated near centromeres, the consortium is focusing on sequencing only the gene-rich euchromatic region. Genomes of the members of Solanaceae show a significant degree of synteny, suggesting that the tomato genome sequence would help in the cloning of genes for important traits from other Solanaceae members as well. ESTs from a large number of cDNA libraries have been sequenced, and microarray chips, in conjunction with wide array of ripening mutants, have contributed immensely to the understanding of the fruit-ripening phenomenon. Work on the analysis of the tomato proteome has also been initiated. Transgenic tomato plants with improved abiotic stress tolerance, disease resistance and insect resistance, have been developed. Attempts have also been made to develop tomato as a bioreactor for various pharmaceutical proteins. However, control of fruit quality and ripening remains an active and challenging area of research. Such efforts should pave the way to improve not only tomato, but also other solanaceous crops.
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Affiliation(s)
- Vikrant Gupta
- Interdisciplinary Centre for Plant Genomics, Department of Plant Molecular Biology, University of Delhi South Campus, New Delhi, India
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Youens-Clark K, Faga B, Yap IV, Stein L, Ware D. CMap 1.01: a comparative mapping application for the Internet. Bioinformatics 2009; 25:3040-2. [PMID: 19648141 PMCID: PMC2773250 DOI: 10.1093/bioinformatics/btp458] [Citation(s) in RCA: 68] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
UNLABELLED CMap is a web-based tool for displaying and comparing maps of any type and from any species. A user can compare an unlimited number of maps, view pair-wise comparisons of known correspondences, and search for maps or for features by name, species, type and accession. CMap is freely available, can run on a variety of database engines and uses only free and open software components. AVAILABILITY http://www.gmod.org/cmap
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Affiliation(s)
- Ken Youens-Clark
- Cold Spring Harbor Laboratories, Cold Spring Harbor, NY 11724, USA.
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18
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Bermúdez L, Urias U, Milstein D, Kamenetzky L, Asis R, Fernie AR, Van Sluys MA, Carrari F, Rossi M. A candidate gene survey of quantitative trait loci affecting chemical composition in tomato fruit. JOURNAL OF EXPERIMENTAL BOTANY 2008; 59:2875-90. [PMID: 18552354 PMCID: PMC2486480 DOI: 10.1093/jxb/ern146] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2008] [Revised: 04/03/2008] [Accepted: 04/29/2008] [Indexed: 05/18/2023]
Abstract
In tomato, numerous wild-related species have been demonstrated to be untapped sources of valuable genetic variability, including pathogen-resistance genes, nutritional, and industrial quality traits. From a collection of S. pennellii introgressed lines, 889 fruit metabolic loci (QML) and 326 yield-associated loci (YAL), distributed across the tomato genome, had been identified previously. By using a combination of molecular marker sequence analysis, PCR amplification and sequencing, analysis of allelic variation, and evaluation of co-response between gene expression and metabolite composition traits, the present report, provides a comprehensive list of candidate genes co-localizing with a subset of 106 QML and 20 YAL associated either with important agronomic or nutritional characteristics. This combined strategy allowed the identification and analysis of 127 candidate genes located in 16 regions of the tomato genome. Eighty-five genes were cloned and partially sequenced, totalling 45,816 and 45,787 bases from S. lycopersicum and S. pennellii, respectively. Allelic variation at the amino acid level was confirmed for 37 of these candidates. Furthermore, out of the 127 gene-metabolite co-locations, some 56 were recovered following correlation of parallel transcript and metabolite profiling. Results obtained here represent the initial steps in the integration of genetic, genomic, and expressional patterns of genes co-localizing with chemical compositional traits of the tomato fruit.
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Affiliation(s)
- L. Bermúdez
- GaTE Lab, Departamento de Botânica-IB-USP, Brasil. Rua do Matão, 277, 05508-900, São Paulo, SP, Brazil
| | - U. Urias
- GaTE Lab, Departamento de Botânica-IB-USP, Brasil. Rua do Matão, 277, 05508-900, São Paulo, SP, Brazil
- Instituto de Biotecnología, Instituto Nacional de Tecnología Agrícola (IB-INTA), PO Box 25, B1712WAA Castelar, Argentina (partner group of the Max Planck Institute for Molecular Plant Physiology, Potsdam-Golm, Germany)
| | - D. Milstein
- GaTE Lab, Departamento de Botânica-IB-USP, Brasil. Rua do Matão, 277, 05508-900, São Paulo, SP, Brazil
| | - L. Kamenetzky
- Instituto de Biotecnología, Instituto Nacional de Tecnología Agrícola (IB-INTA), PO Box 25, B1712WAA Castelar, Argentina (partner group of the Max Planck Institute for Molecular Plant Physiology, Potsdam-Golm, Germany)
| | - R. Asis
- Facultad de Ciencias Químicas Universidad Nacional de Córdoba, CC 5000, Haya de la Torre y Medina Allende, Córdoba, Argentina
| | - A. R. Fernie
- Max Planck Institute for Molecular Plant Physiology, Wissenschaftspark Golm, Am Mühlenberg 1, Potsdam-Golm, D-14 476, Germany
| | - M. A. Van Sluys
- GaTE Lab, Departamento de Botânica-IB-USP, Brasil. Rua do Matão, 277, 05508-900, São Paulo, SP, Brazil
| | - F. Carrari
- Instituto de Biotecnología, Instituto Nacional de Tecnología Agrícola (IB-INTA), PO Box 25, B1712WAA Castelar, Argentina (partner group of the Max Planck Institute for Molecular Plant Physiology, Potsdam-Golm, Germany)
- To whom correspondence should be addressed. E-mail: . Correspondence may also be addressed to F. Carrari.
| | - M. Rossi
- GaTE Lab, Departamento de Botânica-IB-USP, Brasil. Rua do Matão, 277, 05508-900, São Paulo, SP, Brazil
- To whom correspondence should be addressed. E-mail: . Correspondence may also be addressed to F. Carrari.
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