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Zhang M, Zhao Y, Nan T, Jiao H, Yue S, Huang L, Yuan Y. Genome-wide analysis of Citrus medica ABC transporters reveals the regulation of fruit development by CmABCB19 and CmABCC10. PLANT PHYSIOLOGY AND BIOCHEMISTRY : PPB 2024; 215:109027. [PMID: 39154422 DOI: 10.1016/j.plaphy.2024.109027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Revised: 08/05/2024] [Accepted: 08/06/2024] [Indexed: 08/20/2024]
Abstract
ATP-binding cassette (ABC) transporters are vital for plant growth and development as they facilitate the transport of essential molecules. Despite the family's significance, limited information exists about its functional distinctions in Citrus medica. Our study identified 119 genes encoding ABC transporter proteins in the C. medica genome. Through an evolutionary tree and qPCR analysis, two ABC genes, CmABCB19 and CmABCC10, were implicated in C. medica fruit development, showing upregulation in normal fruits compared to malformed fruits. CmABCB19 was found to localize to the plasma membrane of Nicotiana tabacum, exhibiting indole-3-acetic acid (IAA) efflux activity in the yeast mutant strain yap1. CmABCC10, a tonoplast-localized transporter, exhibited efflux of diosmin, nobiletin, and naringin, with rutin influx in strain ycf1. Transgenic expression of CmABCB19 and CmABCC10 in Arabidopsis thaliana induced alterations in auxin and flavonoid content, impacting silique and seed size. This effect was attributed to the modulation of structural genes in the auxin biosynthesis (YUC5/9, CYP79B2, CYP83B1, SUR1) and flavonoid biosynthesis (4CL2/3, CHS, CHI, FLS1/3) pathways. In summary, the functional characterization of CmABCB19 and CmABCC10 illuminates auxin and flavonoid transport, offering insights into their interplay with biosynthetic pathways and providing a foundation for understanding the transporter's role in fruit development.
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Affiliation(s)
- Min Zhang
- State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, Experimental Research Center, Chinese Academy of Chinese Medical Sciences (CACMS), Beijing, China; National Resource Center for Chinese Materia Medica, Chinese Academy of Chinese Medical Sciences (CACMS), Beijing, China.
| | - Yuyang Zhao
- State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, Experimental Research Center, Chinese Academy of Chinese Medical Sciences (CACMS), Beijing, China; National Resource Center for Chinese Materia Medica, Chinese Academy of Chinese Medical Sciences (CACMS), Beijing, China
| | - Tiegui Nan
- State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, Experimental Research Center, Chinese Academy of Chinese Medical Sciences (CACMS), Beijing, China; National Resource Center for Chinese Materia Medica, Chinese Academy of Chinese Medical Sciences (CACMS), Beijing, China
| | - Honghong Jiao
- Co-construction Collaborative Innovation Center for Chinese Medicine Resources Industrialization by Shaanxi & Education Ministry, Shaanxi University of Chinese Medicine, Xianyang, China.
| | - Shiyan Yue
- State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, Experimental Research Center, Chinese Academy of Chinese Medical Sciences (CACMS), Beijing, China; National Resource Center for Chinese Materia Medica, Chinese Academy of Chinese Medical Sciences (CACMS), Beijing, China
| | - Luqi Huang
- State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, Experimental Research Center, Chinese Academy of Chinese Medical Sciences (CACMS), Beijing, China
| | - Yuan Yuan
- State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, Experimental Research Center, Chinese Academy of Chinese Medical Sciences (CACMS), Beijing, China; National Resource Center for Chinese Materia Medica, Chinese Academy of Chinese Medical Sciences (CACMS), Beijing, China.
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Gu C, Pei MS, Guo ZH, Wu L, Qi KJ, Wang XP, Liu H, Liu Z, Lang Z, Zhang S. Multi-omics provide insights into the regulation of DNA methylation in pear fruit metabolism. Genome Biol 2024; 25:70. [PMID: 38486226 PMCID: PMC10938805 DOI: 10.1186/s13059-024-03200-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Accepted: 02/19/2024] [Indexed: 03/18/2024] Open
Abstract
BACKGROUND Extensive research has been conducted on fruit development in crops, but the metabolic regulatory networks underlying perennial fruit trees remain poorly understood. To address this knowledge gap, we conduct a comprehensive analysis of the metabolome, proteome, transcriptome, DNA methylome, and small RNAome profiles of pear fruit flesh at 11 developing stages, spanning from fruitlet to ripening. Here, we systematically investigate the metabolic landscape and regulatory network involved. RESULTS We generate an association database consisting of 439 metabolites and 14,399 genes to elucidate the gene regulatory network of pear flesh metabolism. Interestingly, we detect increased DNA methylation in the promoters of most genes within the database during pear flesh development. Application of a DNA methylation inhibitor to the developing fruit represses chlorophyll degradation in the pericarp and promotes xanthophyll, β-carotene, and abscisic acid (ABA) accumulation in the flesh. We find the gradual increase in ABA production during pear flesh development is correlated with the expression of several carotenoid pathway genes and multiple transcription factors. Of these transcription factors, the zinc finger protein PbZFP1 is identified as a positive mediator of ABA biosynthesis in pear flesh. Most ABA pathway genes and transcription factors are modified by DNA methylation in the promoters, although some are induced by the DNA methylation inhibitor. These results suggest that DNA methylation inhibits ABA accumulation, which may delay fruit ripening. CONCLUSION Our findings provide insights into epigenetic regulation of metabolic regulatory networks during pear flesh development, particularly with regard to DNA methylation.
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Affiliation(s)
- Chao Gu
- Jiangsu Engineering Research Center for Pear, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China
| | - Mao-Song Pei
- Jiangsu Engineering Research Center for Pear, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China
| | - Zhi-Hua Guo
- Jiangsu Engineering Research Center for Pear, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China
| | - Lei Wu
- Jiangsu Engineering Research Center for Pear, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China
| | - Kai-Jie Qi
- Jiangsu Engineering Research Center for Pear, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China
| | - Xue-Ping Wang
- Jiangsu Engineering Research Center for Pear, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China
| | - Hong Liu
- Jiangsu Engineering Research Center for Pear, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China
| | - Zhongchi Liu
- Department of Cell Biology and Molecular Genetics, University of Maryland, College Park, MD, 20742, USA
| | - Zhaobo Lang
- Institute of Advanced Biotechnology and School of Life Sciences, Southern University of Science and Technology, Shenzhen, 518055, China.
- Shanghai Center for Plant Stress Biology, National Key Laboratory of Plant Molecular Genetics, Center of Excellence in Molecular Plant Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, 200032, China.
| | - Shaoling Zhang
- Jiangsu Engineering Research Center for Pear, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China.
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Han S, Zhao J, Liu Y, Xi L, Liao J, Liu X, Su G. Effects of green manure planting mode on the quality of Korla fragrant pears ( Pyrus sinkiangensis Yu). FRONTIERS IN PLANT SCIENCE 2022; 13:1027595. [PMID: 36523625 PMCID: PMC9744778 DOI: 10.3389/fpls.2022.1027595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Accepted: 11/09/2022] [Indexed: 06/17/2023]
Abstract
In this study, a three-year experiment on the fragrant pear orchard was conducted to investigate the effects of different varieties of green manure on the Korla fragrant pear fruit quality, with a view to finding a suitable green manure planting mode for Korla fragrant pear orchard. Green manures were planted in spaces among rows of pear trees, and then smashed and pressed into the soil as fertilisers by the agricultural machinery equipment in their full bloom period. In the experiment, four planting modes of green manure had been set for comparison: SA: Leguminosae green manures alfalfa (Medicago sativa L.), SP: Poaceae green manures oats (Avena sativa L.), ST: Cruciferae green manures oilseed rape (Brassica napus L.), and S: orchard authigenic green manures (Chenopodium album L., Mulgedium tataricum (L) DC., and Phragmites australis (Cav.) Trin. ex Steud.). Apart from that, eleven fruit quality indicators were analyzed to evaluating the effects of different green manure planting mode on the quality of fragrant pear. According to analysis of variance (ANOVA) results, there were significant differences among four planting modes in terms of nine fruit quality indicators (P<0.05). In addition, the correlation analysis (CA) results revealed that there were different degrees of correlations among quality indicators. On this basis, repeated information among indicators was eliminated by principal component analysis (PCA), thus simplifying and recombining the three principal components. All in all, these three principal components reflect appearance traits, internal nutritive value and taste of fruits, respectively. Specifically, SA significantly improved the internal quality and nutritive value of fruits, SP improved the physical traits of fruits, and ST significantly improved the taste of fruits. Based on the PCA results, a comprehensive evaluation model of fruit quality was constructed. The are comprehensive fruit quality scores:SA>SP>ST>S.
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Affiliation(s)
- Sujian Han
- College of Mechanical Electrifification Engineering, Tarim University, Alar, China
- Agricultural Engineering Key Laboratory, Ministry of Higher Education of Xinjiang Uygur Autonomous Region, Tarim University, Alar, China
| | - Jinfei Zhao
- College of Mechanical Electrifification Engineering, Tarim University, Alar, China
- Agricultural Engineering Key Laboratory, Ministry of Higher Education of Xinjiang Uygur Autonomous Region, Tarim University, Alar, China
| | - Yang Liu
- College of Mechanical Electrifification Engineering, Tarim University, Alar, China
- Agricultural Engineering Key Laboratory, Ministry of Higher Education of Xinjiang Uygur Autonomous Region, Tarim University, Alar, China
| | - Linqiao Xi
- College of Animal Science, Tarim University, Alar, China
| | - Jiean Liao
- College of Mechanical Electrifification Engineering, Tarim University, Alar, China
- Agricultural Engineering Key Laboratory, Ministry of Higher Education of Xinjiang Uygur Autonomous Region, Tarim University, Alar, China
| | - Xinying Liu
- College of Mechanical Electrifification Engineering, Tarim University, Alar, China
- Agricultural Engineering Key Laboratory, Ministry of Higher Education of Xinjiang Uygur Autonomous Region, Tarim University, Alar, China
| | - Guangdong Su
- College of Mechanical Electrifification Engineering, Tarim University, Alar, China
- Agricultural Engineering Key Laboratory, Ministry of Higher Education of Xinjiang Uygur Autonomous Region, Tarim University, Alar, China
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Song J, Campbell L, Vinqvist-Tymchuk M. Application of quantitative proteomics to investigate fruit ripening and eating quality. JOURNAL OF PLANT PHYSIOLOGY 2022; 276:153766. [PMID: 35921768 DOI: 10.1016/j.jplph.2022.153766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2022] [Revised: 06/30/2022] [Accepted: 07/09/2022] [Indexed: 06/15/2023]
Abstract
The consumption of fruit and vegetables play an important role in human nutrition, dietary diversity and health. Fruit and vegetable industries impart significant impact on our society, economy, and environment, contributing towards sustainable development in both developing and developed countries. The eating quality of fruit is determined by its appearance, color, firmness, flavor, nutritional components, and the absence of defects from physiological disorders. However, all of these components are affected by many pre- and postharvest factors that influence fruit ripening and senescence. Significant efforts have been made to maintain and improve fruit eating quality by expanding our knowledge of fruit ripening and senescence, as well as by controlling and reducing losses. Innovative approaches are required to gain better understanding of the management of eating quality. With completion of the genome sequence for many horticultural products in recent years and development of the proteomic research technique, quantitative proteomic research on fruit is changing rapidly and represents a complementary research platform to address how genetics and environment influence the quality attributes of various produce. Quantiative proteomic research on fruit is advancing from protein abundance and protein quantitation to gene-protein interactions and post-translational modifications of proteins that occur during fruit development, ripening and in response to environmental influences. All of these techniques help to provide a comprehensive understanding of eating quality. This review focuses on current developments in the field as well as limitations and challenges, both in broad term and with specific examples. These examples include our own research experience in applying quantitative proteomic techniques to identify and quantify the protein changes in association with fruit ripening, quality and development of disorders, as well as possible control mechanisms.
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Affiliation(s)
- Jun Song
- Agriculture and Agri-Food Canada. KRDC, Kentville Research and Development Centre, Kentville, Nova Scotia, B4N 1J5, Canada.
| | - Leslie Campbell
- Agriculture and Agri-Food Canada. KRDC, Kentville Research and Development Centre, Kentville, Nova Scotia, B4N 1J5, Canada
| | - Melinda Vinqvist-Tymchuk
- Agriculture and Agri-Food Canada. KRDC, Kentville Research and Development Centre, Kentville, Nova Scotia, B4N 1J5, Canada
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Zhang L, Wu CL, Yang P, Wang YC, Zhang LL, Yang XY. Chilling injury mechanism of hardy kiwifruit (Actinidia arguta) was revealed by proteome of label-free techniques. J Food Biochem 2021; 45:e13897. [PMID: 34390016 DOI: 10.1111/jfbc.13897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 07/25/2021] [Accepted: 08/02/2021] [Indexed: 11/27/2022]
Abstract
Refrigeration is an important method to extend shelf life of hardy kiwifruit. However, the inappropriate storage temperature can lead to chilling injury in the fruit. We found that firmness, total soluble solids, and total polyphenolic content of the fruit exposed to 0℃ environment were apparently lower, and titratable acidity content, browning rate, weight loss rate, electrolyte leakage, proline content, and malondialdehyde content were higher obviously than 4℃. A total of 244 differentially expressed proteins were found result from differential temperatures, among which 113 were up-regulated and 131 were down-regulated. Subcellular localization results presented that the differentially expressed proteins which were affected by low temperature were located in cytoplasmic, chloroplast, nuclear, mitochondrial, plasma membrane, and extracellular. Kyoto Encyclopedia of Genes and Genomes analysis showed that the differentially expressed proteins were mainly participated in synthesis of citrate cycle, oxidative phosphorylation, fatty acid biosynthesis, and starch and sucrose metabolism. Protein-protein interaction results revealed that central proteins interaction points respectively are 30S ribosomal proteins, 30S ribosomal protein S7, chloroplastic, cell division cycle 5-like protein, 50S ribosomal protein, ribosomal protein, ribosomal protein L6 protein, and SRP54 subunit protein. The quality deviations of all identified peptides were mainly distributed within 10 ppm, and MS2 has an ideal andromeda score, with more than 87.82% peptide scores above 60 points, and the median peptide score of 99.28 points. Therefore, the results of this study provide important information for new gene revelation and gene interaction relationship in hardy kiwifruit of chilling injury. PRACTICAL APPLICATIONS: Inhibition of cold damage in hardy kiwifruit under low temperature is very important work for the development of its storage industry. However, many qualities of fruit will deteriorate after long-term cold storage and those biological activities of the fruits are regulated by proteins. It is, therefore, of great significance to reveal the key proteins caused cold damage in hardy kiwifruit. Moreover, the study results could provide a scientific information for the quality improvement and genetic modification of hardy kiwifruit.
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Affiliation(s)
- Lei Zhang
- Department of Food Engineering, School of Food Engineering, Jilin Agriculture and Technology University, Jilin, PR China
| | - Chun-Ling Wu
- Department of Food Science, Forest College, Bei Hua University, Jilin, PR China
| | - Ping Yang
- Department of Food Engineering, School of Food Engineering, Jilin Agriculture and Technology University, Jilin, PR China
| | - Ying-Chen Wang
- Department of Food Engineering, School of Food Engineering, Jilin Agriculture and Technology University, Jilin, PR China
| | - Lu-Lu Zhang
- Department of Food Science, Forest College, Bei Hua University, Jilin, PR China
| | - Xi-Yue Yang
- Department of Food Engineering, School of Food Engineering, Jilin Agriculture and Technology University, Jilin, PR China
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