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Mathiazhagan M, Elangovan D, Chinnaiyan V, Shivashankara KS, Sudhakar Rao DV, Ravishankar KV. A high-density linkage map construction in guava ( Psidium guajava L.) using genotyping by sequencing and identification of QTLs for leaf, peel, and pulp color in an intervarietal mapping population. FRONTIERS IN PLANT SCIENCE 2024; 15:1335715. [PMID: 38476683 PMCID: PMC10927721 DOI: 10.3389/fpls.2024.1335715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 02/12/2024] [Indexed: 03/14/2024]
Abstract
Psidium guajava L. is an important fruit crop in the tropical and subtropical regions of the world. The advanced breeding methods are not employed for important commercial traits like peel and pulp color, seed hardiness, fruit size, etc., due to the scarcity of genome-wide molecular markers and high-density linkage maps. In this study, we employed single-nucleotide polymorphism (SNP) markers and identified quantitative trait loci (QTL) regions that are associated with color traits of leaf, peel, and pulp in the guava intervarietal mapping population. The mapping population was developed from the contrasting genotypes of fruit and leaf color. Variations in color among the segregating hybrids were recorded both visually and using a Color reader. A high-density linkage map of guava was constructed using the SNP markers from genotyping by sequencing (GBS) of 150 hybrid individuals of the cross 'Arka Poorna' (green) x 'Purple Local' (purple). The integrated linkage map consisted of 1426 SNPs mapped on 11 linkage groups (LG), spanning a total distance of around 730 cM with an average of 129.6 markers per LG. Through QTL analysis for color traits, a minor QTL region was identified for visually scored leaf color and peel color on LG1, whereas a major QTL was detected for pulp color in LG4. The Hunter color values (L* and, a*) also had major QTLs with overlapping marker intervals for leaf and peel colors, establishing the association of SNP markers to the trait. The QTLs harbored genes and transcription factors involved in lycopene and anthocyanin pigment biosynthesis. This is the first report of a high-density linkage map based on SNP markers in guava and QTL mapping for color characters in leaf, fruit peel and pulp. The genotyping information generated in this study can aid in genetic engineering and marker-assisted breeding in guava.
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Affiliation(s)
- Malarvizhi Mathiazhagan
- Division of Basic Sciences, ICAR-Indian Institute of Horticultural Research, Bengaluru, India
- Centre for Post-graduate Studies, Jain (Deemed-to-be) University, Bengaluru, India
| | - Dayanandhi Elangovan
- Division of Basic Sciences, ICAR-Indian Institute of Horticultural Research, Bengaluru, India
| | - Vasugi Chinnaiyan
- Division of Fruit Crops, ICAR-Indian Institute of Horticultural Research, Bengaluru, India
| | | | - Darisi Venkata Sudhakar Rao
- Division of Post Harvest Technology and Agricultural Engineering, ICAR-Indian Institute of Horticultural Research, Bengaluru, India
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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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