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Kerr SC, Shehnaz S, Paudel L, Manivannan MS, Shaw LM, Johnson A, Velasquez JTJ, Tanurdžić M, Cazzonelli CI, Varkonyi-Gasic E, Prentis PJ. Advancing tree genomics to future proof next generation orchard production. FRONTIERS IN PLANT SCIENCE 2024; 14:1321555. [PMID: 38312357 PMCID: PMC10834703 DOI: 10.3389/fpls.2023.1321555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Accepted: 12/26/2023] [Indexed: 02/06/2024]
Abstract
The challenges facing tree orchard production in the coming years will be largely driven by changes in the climate affecting the sustainability of farming practices in specific geographical regions. Identifying key traits that enable tree crops to modify their growth to varying environmental conditions and taking advantage of new crop improvement opportunities and technologies will ensure the tree crop industry remains viable and profitable into the future. In this review article we 1) outline climate and sustainability challenges relevant to horticultural tree crop industries, 2) describe key tree crop traits targeted for improvement in agroecosystem productivity and resilience to environmental change, and 3) discuss existing and emerging genomic technologies that provide opportunities for industries to future proof the next generation of orchards.
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Affiliation(s)
- Stephanie C Kerr
- School of Biology and Environmental Science, Queensland University of Technology (QUT), Brisbane, QLD, Australia
- Centre for Agriculture and the Bioeconomy, Queensland University of Technology (QUT), Brisbane, QLD, Australia
| | - Saiyara Shehnaz
- School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, QLD, Australia
| | - Lucky Paudel
- Hawkesbury Institute for the Environment, Western Sydney University, Penrith, NSW, Australia
| | - Mekaladevi S Manivannan
- Hawkesbury Institute for the Environment, Western Sydney University, Penrith, NSW, Australia
| | - Lindsay M Shaw
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, QLD, Australia
- School of Agriculture and Food Sustainability, The University of Queensland, Brisbane, QLD, Australia
| | - Amanda Johnson
- School of Biology and Environmental Science, Queensland University of Technology (QUT), Brisbane, QLD, Australia
- Centre for Agriculture and the Bioeconomy, Queensland University of Technology (QUT), Brisbane, QLD, Australia
| | - Jose Teodoro J Velasquez
- School of Biology and Environmental Science, Queensland University of Technology (QUT), Brisbane, QLD, Australia
- Centre for Agriculture and the Bioeconomy, Queensland University of Technology (QUT), Brisbane, QLD, Australia
| | - Miloš Tanurdžić
- School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, QLD, Australia
| | | | - Erika Varkonyi-Gasic
- The New Zealand Institute for Plant and Food Research Limited, Auckland, New Zealand
| | - Peter J Prentis
- School of Biology and Environmental Science, Queensland University of Technology (QUT), Brisbane, QLD, Australia
- Centre for Agriculture and the Bioeconomy, Queensland University of Technology (QUT), Brisbane, QLD, Australia
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Pilati S, Malacarne G, Navarro-Payá D, Tomè G, Riscica L, Cavecchia V, Matus JT, Moser C, Blanzieri E. Vitis OneGenE: A Causality-Based Approach to Generate Gene Networks in Vitis vinifera Sheds Light on the Laccase and Dirigent Gene Families. Biomolecules 2021; 11:1744. [PMID: 34944388 PMCID: PMC8698957 DOI: 10.3390/biom11121744] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2021] [Revised: 11/11/2021] [Accepted: 11/16/2021] [Indexed: 12/24/2022] Open
Abstract
The abundance of transcriptomic data and the development of causal inference methods have paved the way for gene network analyses in grapevine. Vitis OneGenE is a transcriptomic data mining tool that finds direct correlations between genes, thus producing association networks. As a proof of concept, the stilbene synthase gene regulatory network obtained with OneGenE has been compared with published co-expression analysis and experimental data, including cistrome data for MYB stilbenoid regulators. As a case study, the two secondary metabolism pathways of stilbenoids and lignin synthesis were explored. Several isoforms of laccase, peroxidase, and dirigent protein genes, putatively involved in the final oxidative oligomerization steps, were identified as specifically belonging to either one of these pathways. Manual curation of the predicted sequences exploiting the last available genome assembly, and the integration of phylogenetic and OneGenE analyses, identified a group of laccases exclusively present in grapevine and related to stilbenoids. Here we show how network analysis by OneGenE can accelerate knowledge discovery by suggesting new candidates for functional characterization and application in breeding programs.
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Affiliation(s)
- Stefania Pilati
- Research and Innovation Centre, Department of Genomics and Biology of Fruit Crops, Fondazione Edmund Mach, 38098 San Michele all’Adige, Italy; (G.M.); (C.M.)
| | - Giulia Malacarne
- Research and Innovation Centre, Department of Genomics and Biology of Fruit Crops, Fondazione Edmund Mach, 38098 San Michele all’Adige, Italy; (G.M.); (C.M.)
| | - David Navarro-Payá
- Institute for Integrative Systems Biology (I2SysBio), Universitat de València-CSIC, 46908 Paterna, Valencia, Spain; (D.N.-P.); (J.T.M.)
| | - Gabriele Tomè
- Centre for Integrative Biology (CIBIO), University of Trento, 38123 Trento, Italy;
| | - Laura Riscica
- Department of Information Engineering and Computer Science, University of Trento, 38123 Trento, Italy; (L.R.); (E.B.)
| | - Valter Cavecchia
- CNR-Institute of Materials for Electronics and Magnetism, 38123 Trento, Italy;
| | - José Tomás Matus
- Institute for Integrative Systems Biology (I2SysBio), Universitat de València-CSIC, 46908 Paterna, Valencia, Spain; (D.N.-P.); (J.T.M.)
| | - Claudio Moser
- Research and Innovation Centre, Department of Genomics and Biology of Fruit Crops, Fondazione Edmund Mach, 38098 San Michele all’Adige, Italy; (G.M.); (C.M.)
| | - Enrico Blanzieri
- Department of Information Engineering and Computer Science, University of Trento, 38123 Trento, Italy; (L.R.); (E.B.)
- CNR-Institute of Materials for Electronics and Magnetism, 38123 Trento, Italy;
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