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      Sainfoin ( Onobrychis spp.) crop ontology: supporting germplasm characterization and international research collaborations

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          Abstract

          Sainfoin ( Onobrychis spp.) is a perennial forage legume that is also attracting attention as a perennial pulse with potential for human consumption. The dual use of sainfoin underpins diverse research and breeding programs focused on improving sainfoin lines for forage and pulses, which is driving the generation of complex datasets describing high dimensional phenotypes in the post-omics era. To ensure that multiple user groups, for example, breeders selecting for forage and those selecting for edible seed, can utilize these rich datasets, it is necessary to develop common ontologies and accessible ontology platforms. One such platform, Crop Ontology, was created in 2008 by the Consortium of International Agricultural Research Centers (CGIAR) to host crop-specific trait ontologies that support standardized plant breeding databases. In the present study, we describe the sainfoin crop ontology (CO). An in-depth literature review was performed to develop a comprehensive list of traits measured and reported in sainfoin. Because the same traits can be measured in different ways, ultimately, a set of 98 variables (variable = plant trait + method of measurement + scale of measurement) used to describe variation in sainfoin were identified. Variables were formatted and standardized based on guidelines provided here for inclusion in the sainfoin CO. The 98 variables contained a total of 82 traits from four trait classes of which 24 were agronomic, 31 were morphological, 19 were seed and forage quality related, and 8 were phenological. In addition to the developed variables, we have provided a roadmap for developing and submission of new traits to the sainfoin CO.

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          Most cited references46

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          Darwin Core: An Evolving Community-Developed Biodiversity Data Standard

          Biodiversity data derive from myriad sources stored in various formats on many distinct hardware and software platforms. An essential step towards understanding global patterns of biodiversity is to provide a standardized view of these heterogeneous data sources to improve interoperability. Fundamental to this advance are definitions of common terms. This paper describes the evolution and development of Darwin Core, a data standard for publishing and integrating biodiversity information. We focus on the categories of terms that define the standard, differences between simple and relational Darwin Core, how the standard has been implemented, and the community processes that are essential for maintenance and growth of the standard. We present case-study extensions of the Darwin Core into new research communities, including metagenomics and genetic resources. We close by showing how Darwin Core records are integrated to create new knowledge products documenting species distributions and changes due to environmental perturbations.
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            The Plant Ontology as a Tool for Comparative Plant Anatomy and Genomic Analyses

            The Plant Ontology (PO; http://www.plantontology.org/) is a publicly available, collaborative effort to develop and maintain a controlled, structured vocabulary (‘ontology’) of terms to describe plant anatomy, morphology and the stages of plant development. The goals of the PO are to link (annotate) gene expression and phenotype data to plant structures and stages of plant development, using the data model adopted by the Gene Ontology. From its original design covering only rice, maize and Arabidopsis, the scope of the PO has been expanded to include all green plants. The PO was the first multispecies anatomy ontology developed for the annotation of genes and phenotypes. Also, to our knowledge, it was one of the first biological ontologies that provides translations (via synonyms) in non-English languages such as Japanese and Spanish. As of Release #18 (July 2012), there are about 2.2 million annotations linking PO terms to >110,000 unique data objects representing genes or gene models, proteins, RNAs, germplasm and quantitative trait loci (QTLs) from 22 plant species. In this paper, we focus on the plant anatomical entity branch of the PO, describing the organizing principles, resources available to users and examples of how the PO is integrated into other plant genomics databases and web portals. We also provide two examples of comparative analyses, demonstrating how the ontology structure and PO-annotated data can be used to discover the patterns of expression of the LEAFY (LFY) and terpene synthase (TPS) gene homologs.
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              Making the most of 'omics' for crop breeding.

              Adoption of new breeding technologies is likely to underpin future gains in crop productivity. The rapid advances in 'omics' technologies provide an opportunity to generate new datasets for crop species. Integration of genome and functional omics data with genetic and phenotypic information is leading to the identification of genes and pathways responsible for important agronomic phenotypes. In addition, high-throughput genotyping technologies enable the screening of large germplasm collections to identify novel alleles from diverse sources, thus offering a major expansion in the variation available for breeding. In this review, we discuss these advances, which have opened the door to new techniques for construction and screening of breeding populations, to increase ultimately the efficiency of selection and accelerate the rates of genetic gain. Copyright © 2010 Elsevier Ltd. All rights reserved.
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                Author and article information

                Contributors
                Journal
                Front Plant Sci
                Front Plant Sci
                Front. Plant Sci.
                Frontiers in Plant Science
                Frontiers Media S.A.
                1664-462X
                15 May 2023
                2023
                : 14
                : 1177406
                Affiliations
                [1] 1 Bioengineering Department, Adana Alparslan Türkeş Science and Technology University , Adana, Türkiye
                [2] 2 The Land Institute , Salina, KS, United States
                [3] 3 Department of Computer Engineering, Kafkas University , Kars, Türkiye
                [4] 4 Donald Danforth Plant Science Center , St. Louis, MO, United States
                [5] 5 Department of Viticulture and Enology, University of California Davis , Davis, CA, United States
                [6] 6 Plant and Environmental Sciences Department, Clemson University , Clemson, SC, United States
                [7] 7 Department. of Biology, Saint Louis University , St. Louis, MO, United States
                [8] 8 Department of Geography, Birzeit University , Birzeit, West Bank, Palestine
                Author notes

                Edited by: Philipp Von Gillhaussen, Interantional Plant Phenotyping Network (IPPN), Germany

                Reviewed by: Fabio Fiorani, Helmholtz Association of German Research Centres (HZ), Germany; Dionysia Apostolos Fasoula, Agricultural Research Insitute, Cyprus

                *Correspondence: Muhammet Şakiroğlu, msakiroglu@ 123456atu.edu.tr ; Brandon Schlautman, schlautman@ 123456landinstitute.org
                Article
                10.3389/fpls.2023.1177406
                10225502
                1534dbaa-9a34-4626-917c-34648c94e818
                Copyright © 2023 Karabulut, Erkoç, Acı, Aydın, Barriball, Braley, Cassetta, Craine, Diaz-Garcia, Hershberger, Meyering, Miller, Rubin, Tesdell, Schlautman and Şakiroğlu

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 01 March 2023
                : 18 April 2023
                Page count
                Figures: 2, Tables: 3, Equations: 0, References: 52, Pages: 9, Words: 4601
                Funding
                Funded by: Türkiye Bilimsel ve Teknolojik Araştırma Kurumu , doi 10.13039/501100004410;
                The Scientific and Technological Research Council of Turkey (TUBITAK) Research Grant (number 120C136); The Foundation for Food & Agriculture Research Seeding Solutions Grant, The Perennial Agriculture Project, a joint venture between the Malone Family Foundation and The Land Institute; Clemson University Startup.
                Categories
                Plant Science
                Original Research
                Custom metadata
                Plant Breeding

                Plant science & Botany
                sainfoin, onobrychis spp.,crop ontology,perennial grain,pulse,forage
                Plant science & Botany
                sainfoin, onobrychis spp., crop ontology, perennial grain, pulse, forage

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