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Yang C, Chen J, Zhang Y, Huang J, Wang H, Chen J. Non-targeted metabolomics reveals the taste variations during Baccaurea ramiflora Lour. fruit maturation. FRONTIERS IN PLANT SCIENCE 2024; 15:1420231. [PMID: 39040510 PMCID: PMC11260711 DOI: 10.3389/fpls.2024.1420231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/19/2024] [Accepted: 06/14/2024] [Indexed: 07/24/2024]
Abstract
Baccaurea ramiflora Lour. is a new kind of underutilized wild fruit tree; the metabolic reasons for its fruit flavor changes are not yet clear. In this study, the pink flesh of this excellent tasting fruit (BR) was used to reveal the metabolic causes of taste variations through five developmental stages. We identified 154 common differential metabolites of different developmental stages based on non-targeted metabolomics analysis. The accumulation of sugar and fatty acids increased significantly after 73 days, while citric acid decreased significantly. Flesh color accumulation mainly occurred 53 days ago, and vitamin accumulation occurred after 93 days. Interestingly, L-sorbose and 5-hydroxyindole-3-acetic acid were positively correlated with the sugar-acid ratio but negatively correlated with titratable acids. It indicated that L-sorbose and 5-hydroxyindole-3-acetic acid may be taste biomarkers of BR B. ramiflora. The results provided new metabolic lines of evidence for the taste variation during the ripening process of B. ramiflora.
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Affiliation(s)
- Chongcheng Yang
- College of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang, China
| | - Jiaqi Chen
- College of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang, China
| | - Yang Zhang
- Organic Biology Group, Jiangxi Ganzhou Eco-environmental Monitoring Center, Ganzhou, China
| | - Jianjian Huang
- School of Food Engineering and Biotechnology, Hanshan Normal University, Chaozhou, China
| | - Huachen Wang
- College of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang, China
| | - Jie Chen
- College of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang, China
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Wu Q, Zhang C, Xu F, Zang S, Wang D, Sun T, Su Y, Yang S, Ding Y, Que Y. Transcriptional Regulation of SugarCane Response to Sporisorium scitamineum: Insights from Time-Course Gene Coexpression and Ca 2+ Signaling. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2024; 72:10506-10520. [PMID: 38651833 PMCID: PMC11082935 DOI: 10.1021/acs.jafc.4c02123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Revised: 04/11/2024] [Accepted: 04/15/2024] [Indexed: 04/25/2024]
Abstract
Sugarcane response to Sporisorium scitamineum is determined by multiple major genes and numerous microeffector genes. Here, time-ordered gene coexpression networks were applied to explore the interaction between sugarcane and S. scitamineum. Totally, 2459 differentially expressed genes were identified and divided into 10 levels, and several stress-related subnetworks were established. Interestingly, the Ca2+ signaling pathway was activated to establish the response to sugarcane smut disease. Accordingly, two CAX genes (ScCAX2 and ScCAX3) were cloned and characterized from sugarcane. They were significantly upregulated under ABA stress but inhibited by MeJA treatment. Furthermore, overexpression of ScCAX2 and ScCAX3 enhanced the susceptibility of transgenic plants to the pathogen infection, suggesting its negative role in disease resistance. A regulatory model for ScCAX genes in disease response was thus depicted. This work helps to clarify the transcriptional regulation of sugarcane response to S. scitamineum stress and the function of the CAX gene in disease response.
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Affiliation(s)
- Qibin Wu
- National
Key Laboratory for Tropical Crop Breeding, Institute of Tropical Bioscience
and Biotechnology, Chinese Academy of Tropical
Agricultural Sciences, Sanya 572024, Haikou 571101, Hainan, China
- Key
Laboratory of Sugarcane Biology and Genetic Breeding, Ministry of
Agriculture and Rural Affairs, National Engineering Research Center
for Sugarcane, College of Agriculture, Fujian
Agriculture and Forestry University, Fuzhou 350002, China
| | - Chang Zhang
- Key
Laboratory of Sugarcane Biology and Genetic Breeding, Ministry of
Agriculture and Rural Affairs, National Engineering Research Center
for Sugarcane, College of Agriculture, Fujian
Agriculture and Forestry University, Fuzhou 350002, China
| | - Fu Xu
- Key
Laboratory of Sugarcane Biology and Genetic Breeding, Ministry of
Agriculture and Rural Affairs, National Engineering Research Center
for Sugarcane, College of Agriculture, Fujian
Agriculture and Forestry University, Fuzhou 350002, China
| | - Shoujian Zang
- Key
Laboratory of Sugarcane Biology and Genetic Breeding, Ministry of
Agriculture and Rural Affairs, National Engineering Research Center
for Sugarcane, College of Agriculture, Fujian
Agriculture and Forestry University, Fuzhou 350002, China
| | - Dongjiao Wang
- Key
Laboratory of Sugarcane Biology and Genetic Breeding, Ministry of
Agriculture and Rural Affairs, National Engineering Research Center
for Sugarcane, College of Agriculture, Fujian
Agriculture and Forestry University, Fuzhou 350002, China
| | - Tingting Sun
- National
Key Laboratory for Tropical Crop Breeding, Institute of Tropical Bioscience
and Biotechnology, Chinese Academy of Tropical
Agricultural Sciences, Sanya 572024, Haikou 571101, Hainan, China
| | - Yachun Su
- Key
Laboratory of Sugarcane Biology and Genetic Breeding, Ministry of
Agriculture and Rural Affairs, National Engineering Research Center
for Sugarcane, College of Agriculture, Fujian
Agriculture and Forestry University, Fuzhou 350002, China
| | - Shaolin Yang
- Key
Laboratory of Sugarcane Biology and Genetic Breeding, Ministry of
Agriculture and Rural Affairs, National Engineering Research Center
for Sugarcane, College of Agriculture, Fujian
Agriculture and Forestry University, Fuzhou 350002, China
- Yunnan
Key Laboratory of Sugarcane Genetic Improvement, Sugarcane Research
Institute, Yunnan Academy of Agricultural
Sciences, Kaiyuan 661600, China
| | - Yinghong Ding
- College
of Landscape Architecture and Art, Fujian
Agriculture and Forestry University, Fuzhou 350002, China
| | - Youxiong Que
- National
Key Laboratory for Tropical Crop Breeding, Institute of Tropical Bioscience
and Biotechnology, Chinese Academy of Tropical
Agricultural Sciences, Sanya 572024, Haikou 571101, Hainan, China
- Key
Laboratory of Sugarcane Biology and Genetic Breeding, Ministry of
Agriculture and Rural Affairs, National Engineering Research Center
for Sugarcane, College of Agriculture, Fujian
Agriculture and Forestry University, Fuzhou 350002, China
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de los Cobos FP, García-Gómez BE, Orduña-Rubio L, Batlle I, Arús P, Matus JT, Eduardo I. Exploring large-scale gene coexpression networks in peach ( Prunus persica L.): a new tool for predicting gene function. HORTICULTURE RESEARCH 2024; 11:uhad294. [PMID: 38487296 PMCID: PMC10939413 DOI: 10.1093/hr/uhad294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 12/17/2023] [Indexed: 03/17/2024]
Abstract
Peach is a model for Prunus genetics and genomics, however, identifying and validating genes associated to peach breeding traits is a complex task. A gene coexpression network (GCN) capable of capturing stable gene-gene relationships would help researchers overcome the intrinsic limitations of peach genetics and genomics approaches and outline future research opportunities. In this study, we created four GCNs from 604 Illumina RNA-Seq libraries. We evaluated the performance of every GCN in predicting functional annotations using an algorithm based on the 'guilty-by-association' principle. The GCN with the best performance was COO300, encompassing 21 956 genes. To validate its performance predicting gene function, we performed two case studies. In case study 1, we used two genes involved in fruit flesh softening: the endopolygalacturonases PpPG21 and PpPG22. Genes coexpressing with both genes were extracted and referred to as melting flesh (MF) network. Finally, we performed an enrichment analysis of MF network and compared the results with the current knowledge regarding peach fruit softening. The MF network mostly included genes involved in cell wall expansion and remodeling, and with expressions triggered by ripening-related phytohormones, such as ethylene, auxin, and methyl jasmonate. In case study 2, we explored potential targets of the anthocyanin regulator PpMYB10.1 by comparing its gene-centered coexpression network with that of its grapevine orthologues, identifying a common regulatory network. These results validated COO300 as a powerful tool for peach and Prunus research. This network, renamed as PeachGCN v1.0, and the scripts required to perform a function prediction analysis are available at https://github.com/felipecobos/PeachGCN.
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Affiliation(s)
- Felipe Pérez de los Cobos
- Institut de Recerca i Tecnologia Agroalimentàries (IRTA) , Mas Bové, Ctra. Reus-El Morell Km 3,8 43120 Constantí Tarragona, Spain
- Centre de Recerca en Agrigenòmica (CRAG), Institut de Recerca i Tecnologia Agroalimentàries (IRTA), CSIC-IRTA-UAB-UB. Cerdanyola del Vallès (Bellaterra), 08193 Barcelona, Spain
- Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Campus UAB, Edifici CRAG, Cerdanyola del Vallès (Bellaterra), 08193 Barcelona, Spain
| | - Beatriz E García-Gómez
- Centre de Recerca en Agrigenòmica (CRAG), Institut de Recerca i Tecnologia Agroalimentàries (IRTA), CSIC-IRTA-UAB-UB. Cerdanyola del Vallès (Bellaterra), 08193 Barcelona, Spain
- Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Campus UAB, Edifici CRAG, Cerdanyola del Vallès (Bellaterra), 08193 Barcelona, Spain
| | - Luis Orduña-Rubio
- Institute for Integrative Systems Biology (I2SysBio), Universitat de Valencia-CSIC, Paterna, 46908, Valencia, Spain
| | - Ignasi Batlle
- Institut de Recerca i Tecnologia Agroalimentàries (IRTA) , Mas Bové, Ctra. Reus-El Morell Km 3,8 43120 Constantí Tarragona, Spain
| | - Pere Arús
- Centre de Recerca en Agrigenòmica (CRAG), Institut de Recerca i Tecnologia Agroalimentàries (IRTA), CSIC-IRTA-UAB-UB. Cerdanyola del Vallès (Bellaterra), 08193 Barcelona, Spain
- Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Campus UAB, Edifici CRAG, Cerdanyola del Vallès (Bellaterra), 08193 Barcelona, Spain
| | - José Tomás Matus
- Institute for Integrative Systems Biology (I2SysBio), Universitat de Valencia-CSIC, Paterna, 46908, Valencia, Spain
| | - Iban Eduardo
- Centre de Recerca en Agrigenòmica (CRAG), Institut de Recerca i Tecnologia Agroalimentàries (IRTA), CSIC-IRTA-UAB-UB. Cerdanyola del Vallès (Bellaterra), 08193 Barcelona, Spain
- Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Campus UAB, Edifici CRAG, Cerdanyola del Vallès (Bellaterra), 08193 Barcelona, Spain
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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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Xiao F, Zhao Y, Wang X, Mao Y, Jian X. Comparative transcriptome analysis of dioecious floral development in Trachycarpus fortunei using Illumina and PacBio SMRT sequencing. BMC PLANT BIOLOGY 2023; 23:536. [PMID: 37919651 PMCID: PMC10623883 DOI: 10.1186/s12870-023-04551-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Accepted: 10/22/2023] [Indexed: 11/04/2023]
Abstract
BACKGROUND Trachycarpus fortunei is a plant with significant economic and ornamental value. Both male and female flowers of T. fortunei originate as bisexual flowers, and selective abortion occurs during floral development. However, the regulatory mechanisms underlying this process remain unclear in T. fortunei. In this study, transcriptome sequencing with Illumina and Pacific BioSciences (PacBio) single-molecule real-time (SMRT) platforms were used to investigate gene expression differences between male and female T. fortunei plants. RESULTS A total of 833,137 full-length non-chimeric (FLNC) reads were obtained, and 726,846 high-quality full-length transcripts were identified. A total of 159 genes were differentially expressed between male and female flowers at all development stages. Some of the differentially expressed genes (DEGs) showed male bias, including serine/threonine-protein kinase (STPK), THUMP1 homolog and other genes. Through single-nucleotide polymorphisms(SNPs) identification, 28 genes were considered as potential sex-associated SNPs. Time-Ordered Gene Co-expression Network (TO-GCN) analysis revealed that MADS2 and MADS26 may play important roles in the development of female and male flowers T. fortune plants, respectively. CONCLUSIONS These findings provide a genetic basis for flower development and differentiation in T. fortunei, and improve our understanding of the mechanisms underlying sexual differentiation in T. fortunei.
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Affiliation(s)
- Feng Xiao
- Institute for Forest Resources and Environment of Guizhou, Key Laboratory of Forest Cultivation in Plateau Mountain of Guizhou Province, College of Forestry, Guizhou University, Guiyang, 550025, Guizhou, China
| | - Yang Zhao
- Institute for Forest Resources and Environment of Guizhou, Key Laboratory of Forest Cultivation in Plateau Mountain of Guizhou Province, College of Forestry, Guizhou University, Guiyang, 550025, Guizhou, China.
| | - Xiurong Wang
- Institute for Forest Resources and Environment of Guizhou, Key Laboratory of Forest Cultivation in Plateau Mountain of Guizhou Province, College of Forestry, Guizhou University, Guiyang, 550025, Guizhou, China
| | - Yuexiong Mao
- Institute for Forest Resources and Environment of Guizhou, Key Laboratory of Forest Cultivation in Plateau Mountain of Guizhou Province, College of Forestry, Guizhou University, Guiyang, 550025, Guizhou, China
| | - Xueyan Jian
- School of Continuing Education, Yanbian University, Yanji, 133002, Jilin, China
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Zhou K, Cheng Q, Dai J, Liu Y, Liu Q, Li R, Wang J, Hu R, Lin L. Effects of exogenous melatonin on sugar and organic acid metabolism in early-ripening peach fruits. PLoS One 2023; 18:e0292959. [PMID: 37831703 PMCID: PMC10575493 DOI: 10.1371/journal.pone.0292959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 10/03/2023] [Indexed: 10/15/2023] Open
Abstract
To evaluated the effects melatonin (MT) on the sugar and acid metabolism of early-ripening peach fruits, the concentration of 150 μmol/L MT was sprayed on the leaves of peach trees. MT increased the contents of total soluble sugar and sucrose in peach fruits during the whole ripening period, and increased the contents of glucose and sorbitol at the mature stage. During the whole ripening period, MT also increased the activities of sucrose synthase, sucrose phosphate synthase, neutral invertase, and acidic invertase and the relative expression levels of sucrose synthase, sucrose phosphate synthase, neutral invertase, and acidic invertase genes, while decreased the activity of sorbitol oxidase and the relative expression level of sorbitol dehydrogenase to some extent. Moreover, MT decreased the contents of total organic acid, malic acid, and citric acid at mature stage. At mature stage, MT decreased the activities of citrate synthetase and phosphoenolpyruvate carboxylase and the relative expression levels of citrate synthetase and phosphoenolpyruvate carboxylase genes, while increased the relative expression levels of Nicotinamide adenine dinucleotide phosphate (NADP+)-malic enzyme, malate dehydrogenase, and aconitase genes. Therefore, MT promotes the sugar accumulation and organic acid degradation in early-ripening peach fruits.
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Affiliation(s)
- Kexuan Zhou
- College of Horticulture, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Qi Cheng
- College of Horticulture, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Jingtong Dai
- College of Horticulture, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Yuan Liu
- College of Horticulture, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Qin Liu
- College of Horticulture, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Rui Li
- College of Horticulture, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Jiangyue Wang
- College of Horticulture, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Rongping Hu
- Institute of Agricultural Resources and Environment, Sichuan Academy of Agricultural Sciences, Chengdu, Sichuan, China
| | - Lijin Lin
- College of Horticulture, Sichuan Agricultural University, Chengdu, Sichuan, China
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