3
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Recent applications of metabolomics in plant breeding

      research-article
      1 , *
      Breeding Science
      Japanese Society of Breeding
      metabolomics, mass spectrometry, nuclear magnetic resonance, mQTL, mGWAS

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Metabolites play a central role in maintaining organismal life and in defining crop phenotypes, such as nutritional value, fragrance, color, and stress resistance. Among the ‘omes’ in biology, the metabolome is the closest to the phenotype. Consequently, metabolomics has been applied to crop improvement as method for monitoring changes in chemical compositions, clarifying the mechanisms underlying cellular functions, discovering markers and diagnostics, and phenotyping for mQTL, mGWAS, and metabolite-genome predictions. In this review, 359 reports of the most recent applications of metabolomics to plant breeding-related studies were examined. In addition to the major crops, more than 160 other crops including rare medicinal plants were considered. One bottleneck associated with using metabolomics is the wide array of instruments that are used to obtain data and the ambiguity associated with metabolite identification and quantification. To further the application of metabolomics to plant breeding, the features and perspectives of the technology are discussed.

          Related collections

          Most cited references89

          • Record: found
          • Abstract: found
          • Article: not found

          Innovation: Metabolomics: the apogee of the omics trilogy.

          Metabolites, the chemical entities that are transformed during metabolism, provide a functional readout of cellular biochemistry. With emerging technologies in mass spectrometry, thousands of metabolites can now be quantitatively measured from minimal amounts of biological material, which has thereby enabled systems-level analyses. By performing global metabolite profiling, also known as untargeted metabolomics, new discoveries linking cellular pathways to biological mechanism are being revealed and are shaping our understanding of cell biology, physiology and medicine.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Database resources of the National Center for Biotechnology Information

            The National Center for Biotechnology Information (NCBI) provides a large suite of online resources for biological information and data, including the GenBank® nucleic acid sequence database and the PubMed® database of citations and abstracts published in life science journals. The Entrez system provides search and retrieval operations for most of these data from 34 distinct databases. The E-utilities serve as the programming interface for the Entrez system. Custom implementations of the BLAST program provide sequence-based searching of many specialized datasets. New resources released in the past year include a new PubMed interface and NCBI datasets. Additional resources that were updated in the past year include PMC, Bookshelf, Genome Data Viewer, SRA, ClinVar, dbSNP, dbVar, Pathogen Detection, BLAST, Primer-BLAST, IgBLAST, iCn3D and PubChem. All of these resources can be accessed through the NCBI home page at https://www.ncbi.nlm.nih.gov.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Rewiring of the Fruit Metabolome in Tomato Breeding

              Humans heavily rely on dozens of domesticated plant species that have been further improved through intensive breeding. To evaluate how breeding changed the tomato fruit metabolome, we have generated and analyzed a dataset encompassing genomes, transcriptomes, and metabolomes from hundreds of tomato genotypes. The combined results illustrate how breeding globally altered fruit metabolite content. Selection for alleles of genes associated with larger fruits altered metabolite profiles as a consequence of linkage with nearby genes. Selection of five major loci reduced the accumulation of anti-nutritional steroidal glycoalkaloids in ripened fruits, rendering the fruit more edible. Breeding for pink tomatoes modified the content of over 100 metabolites. The introgression of resistance genes from wild relatives in cultivars also resulted in major and unexpected metabolic changes. The study reveals a multi-omics view of the metabolic breeding history of tomato, as well as provides insights into metabolome-assisted breeding and plant biology.
                Bookmark

                Author and article information

                Journal
                Breed Sci
                Breed Sci
                jsbbs
                Breeding Science
                Japanese Society of Breeding
                1344-7610
                1347-3735
                March 2022
                3 February 2022
                : 72
                : 1
                : 56-65
                Affiliations
                [1 ] Bioinformation and DDBJ Center, National Institute of Genetics , 1111 Yata, Mishima, Shizuoka 411-8540, Japan
                Author notes
                [* ]Corresponding author (e-mail: sakurai@ 123456nig.ac.jp )

                Communicated by Sachiko Isobe

                Article
                JST.JSTAGE/jsbbs/21065 21065
                10.1270/jsbbs.21065
                8987846
                36045891
                47c84c5d-b297-4a39-899b-bbaf8a782c96
                Copyright © 2022 by JAPANESE SOCIETY OF BREEDING

                This is an open-access article distributed under the terms of the Creative Commons Attribution (BY) License (CC-BY 4.0: https://creativecommons.org/licenses/by/4.0/).

                History
                : 20 August 2021
                : 19 December 2021
                Categories
                Invited Review

                Animal agriculture
                metabolomics,mass spectrometry,nuclear magnetic resonance,mqtl,mgwas
                Animal agriculture
                metabolomics, mass spectrometry, nuclear magnetic resonance, mqtl, mgwas

                Comments

                Comment on this article