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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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Li J, Zhang M, Li X, Khan A, Kumar S, Allan AC, Lin-Wang K, Espley RV, Wang C, Wang R, Xue C, Yao G, Qin M, Sun M, Tegtmeier R, Liu H, Wei W, Ming M, Zhang S, Zhao K, Song B, Ni J, An J, Korban SS, Wu J. Pear genetics: Recent advances, new prospects, and a roadmap for the future. HORTICULTURE RESEARCH 2022; 9:uhab040. [PMID: 35031796 PMCID: PMC8778596 DOI: 10.1093/hr/uhab040] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 08/23/2021] [Accepted: 08/25/2021] [Indexed: 06/14/2023]
Abstract
Pear, belonging to the genus Pyrus, is one of the most economically important temperate fruit crops. Pyrus is an important genus of the Rosaceae family, subfamily Maloideae, and has at least 22 different species with over 5000 accessions maintained or identified worldwide. With the release of draft whole-genome sequences for Pyrus, opportunities for pursuing studies on the evolution, domestication, and molecular breeding of pear, as well as for conducting comparative genomics analyses within the Rosaceae family, have been greatly expanded. In this review, we highlight key advances in pear genetics, genomics, and breeding driven by the availability of whole-genome sequences, including whole-genome resequencing efforts, pear domestication, and evolution. We cover updates on new resources for undertaking gene identification and molecular breeding, as well as for pursuing functional validation of genes associated with desirable economic traits. We also explore future directions for "pear-omics".
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Affiliation(s)
- Jiaming Li
- Center of Pear Engineering Technology Research, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, China
| | - Mingyue Zhang
- State Key Laboratory of Crop Biology, College of Horticulture Science and Engineering, Shandong Agricultural University, Tai-An, Shandong 271018, China
| | - Xiaolong Li
- Center of Pear Engineering Technology Research, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, China
| | - Awais Khan
- Plant Pathology & Plant-Microbe Biology Section, Cornell University, Geneva, NY 14456, USA
| | - Satish Kumar
- Hawke’s Bay Research Centre, The New Zealand Institute for Plant and Food Research Limited, Havelock North 4157, New Zealand
| | - Andrew Charles Allan
- The New Zealand Institute for Plant and Food Research Limited, Auckland 1142, New Zealand
| | - Kui Lin-Wang
- The New Zealand Institute for Plant and Food Research Limited, Auckland 1142, New Zealand
| | - Richard Victor Espley
- The New Zealand Institute for Plant and Food Research Limited, Auckland 1142, New Zealand
| | - Caihong Wang
- College of Horticulture, Qingdao Agricultural University, Qingdao, 266109, China
| | - Runze Wang
- Center of Pear Engineering Technology Research, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, China
| | - Cheng Xue
- State Key Laboratory of Crop Biology, College of Horticulture Science and Engineering, Shandong Agricultural University, Tai-An, Shandong 271018, China
| | - Gaifang Yao
- School of Food and Biological Engineering, Hefei University of Technology, 230009 Hefei, China
| | - Mengfan Qin
- Center of Pear Engineering Technology Research, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, China
| | - Manyi Sun
- Center of Pear Engineering Technology Research, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, China
| | - Richard Tegtmeier
- Plant Pathology & Plant-Microbe Biology Section, Cornell University, Geneva, NY 14456, USA
| | - Hainan Liu
- Center of Pear Engineering Technology Research, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, China
| | - Weilin Wei
- Center of Pear Engineering Technology Research, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, China
| | - Meiling Ming
- Center of Pear Engineering Technology Research, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, China
| | - Shaoling Zhang
- Center of Pear Engineering Technology Research, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, China
| | - Kejiao Zhao
- Center of Pear Engineering Technology Research, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, China
| | - Bobo Song
- Center of Pear Engineering Technology Research, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, China
| | - Jiangping Ni
- Center of Pear Engineering Technology Research, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, China
| | - Jianping An
- State Key Laboratory of Crop Biology, College of Horticulture Science and Engineering, Shandong Agricultural University, Tai-An, Shandong 271018, China
| | - Schuyler S Korban
- Department of Natural Resources & Environmental Sciences, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Jun Wu
- Center of Pear Engineering Technology Research, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, China
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Leng F, Ye Y, Zhu X, Zhang Y, Zhang Z, Shi J, Shen N, Jia H, Wang L. Comparative transcriptomic analysis between 'Summer Black' and its bud sport 'Nantaihutezao' during developmental stages. PLANTA 2021; 253:23. [PMID: 33403440 DOI: 10.1007/s00425-020-03543-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Accepted: 12/19/2020] [Indexed: 06/12/2023]
Abstract
4-coumarate-CoA ligase (VIT_02s0109g00250) and copper amine oxidase (VIT_17s0000g09100) played essential roles in contributing to the total soluble solid and total anthocyanin variations induced by bud sport in grape berries. Taste and color, which are important organoleptic qualities of grape berry, undergo rapid and substantial changes during development and ripening. In this study, we used two cultivars 'Summer Black' and its bud sport 'Nantaihutezao' to explore and identify differentially expressed genes associated with total soluble solid and anthocyanin during developmental stages using RNA-Seq. Overall, substantial differences in expression were observed across berry development between the two cultivars. 5388 genes were detected by weighted gene co-expression network analysis (WGCNA) associated with the total soluble solid (TSS) and anthocyanin contents variations. Several of these genes were significantly enriched in the phenylalanine metabolism pathway; two hub genes 4-coumarate-CoA ligase (VIT_02s0109g00250) and copper amine oxidase (VIT_17s0000g09100) played the most essential roles in relating to the total soluble solid and total anthocyanin variations induced by bud sport through Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment and co-expression network analysis. These findings provide insights into the molecular mechanism responsible for the bud sport phenotype.
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Affiliation(s)
- Feng Leng
- College of Horticulture and Plant Protection, Yangzhou University, Yangzhou, 225009, China
| | - Yunling Ye
- College of Horticulture and Plant Protection, Yangzhou University, Yangzhou, 225009, China
| | - Xiaoheng Zhu
- Key Laboratory of Horticultural Plant Growth, Development and Quality Improvement of the Ministry of Agriculture/Department of Horticulture, Zhejiang University, Hangzhou, 310058, China
| | - Yue Zhang
- College of Horticulture and Plant Protection, Yangzhou University, Yangzhou, 225009, China
| | - Ziyue Zhang
- College of Horticulture and Plant Protection, Yangzhou University, Yangzhou, 225009, China
| | - Jiayu Shi
- College of Horticulture and Plant Protection, Yangzhou University, Yangzhou, 225009, China
| | - Nan Shen
- College of Horticulture and Plant Protection, Yangzhou University, Yangzhou, 225009, China
| | - Huijuan Jia
- Key Laboratory of Horticultural Plant Growth, Development and Quality Improvement of the Ministry of Agriculture/Department of Horticulture, Zhejiang University, Hangzhou, 310058, China.
| | - Li Wang
- College of Horticulture and Plant Protection, Yangzhou University, Yangzhou, 225009, China.
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Kok SY, Namasivayam P, Ee GCL, Ong-Abdullah M. Comparative proteomic analysis of oil palm (Elaeis guineensis Jacq.) during early fruit development. J Proteomics 2020; 232:104052. [PMID: 33262095 DOI: 10.1016/j.jprot.2020.104052] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 11/11/2020] [Accepted: 11/15/2020] [Indexed: 01/04/2023]
Abstract
To gain insights on protein changes in fruit setting and growth in oil palm, a comparative proteomic approach was undertaken to study proteome changes during its early development. The variations in the proteome at five early developmental stages were investigated via a gel-based proteomic technique. A total of 129 variant proteins were determined using mass spectrometric analysis, resulting in 80 identifications. The majority of the identified protein species were classified as energy and metabolism, stress response/defence and cell structure during early oil palm development representing potential candidates for the control of final fruit size and composition. Seven prominent protein species were then characterised using real-time polymerase chain reaction to validate the mRNA expression against the protein abundant profiles. Transcript and protein profiles were parallel across the developmental stages, but divergent expression was observed in one protein spot, indicative of possible post-transcriptional events. Our results revealed protein changes in early oil palm fruit development provide valuable information in the understanding of fruit growth and metabolism during early stages that may contribute towards improving agronomic traits. BIOLOGICAL SIGNIFICANCE: Two-dimensional gel electrophoresis coupled with mass spectrometry approach was used in this study to identify differentially expressed proteins during early oil palm fruit development. A total of 80 protein spots with significant change in abundance were successfully identified and selected genes were analysed using real time PCR to validate their expression. The dynamic changes in oil palm fruit proteome during early development were mostly active in primary and energy metabolism, stress responses, cell structure and protein metabolism. This study reveals the physiological processes during early oil palm fruit development and provides a reference proteome for further improvements in fruit quality traits.
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Affiliation(s)
- Sau-Yee Kok
- Advanced Biotechnology and Breeding Centre, Malaysian Palm Oil Board (MPOB), No. 6 Persiaran Institusi, Bandar Baru Bangi, Kajang, Selangor, Malaysia; Division of Genetics, Cancer Research Institute, Kanazawa University, Kanazawa, Japan
| | - Parameswari Namasivayam
- Department of Cell and Molecular Biology, Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia; Institute of Tropical Agriculture, Universiti Putra Malaysia, Serdang, Selangor, Malaysia
| | - Gwendoline Cheng-Lian Ee
- Department of Chemistry, Faculty of Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia
| | - Meilina Ong-Abdullah
- Advanced Biotechnology and Breeding Centre, Malaysian Palm Oil Board (MPOB), No. 6 Persiaran Institusi, Bandar Baru Bangi, Kajang, Selangor, Malaysia.
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Variations of metabolites and proteome in Lonicera japonica Thunb. buds and flowers under UV radiation. BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS 2017; 1865:404-413. [DOI: 10.1016/j.bbapap.2017.01.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2016] [Revised: 01/02/2017] [Accepted: 01/09/2017] [Indexed: 01/17/2023]
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Guo DL, Xi FF, Yu YH, Zhang XY, Zhang GH, Zhong GY. Comparative RNA-Seq profiling of berry development between table grape 'Kyoho' and its early-ripening mutant 'Fengzao'. BMC Genomics 2016; 17:795. [PMID: 27729006 PMCID: PMC5059895 DOI: 10.1186/s12864-016-3051-1] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2016] [Accepted: 08/27/2016] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Early ripening is an important desirable attribute for fruit crops. 'Kyoho' is a popular table grape cultivar in many Asian countries. 'Fengzao' is a bud mutant of 'Kyoho' and ripens nearly 30 days earlier than 'Kyoho'. To identify genes controlling early fruit development and ripening in 'Fengzao', RNA-Seq profiles of the two cultivars were compared at 8 different berry developmental stages in both berry peel and flesh tissues. METHODS RNA-Seq profiling of berry development between 'Kyoho' and 'Fenzhao' were obtained using the Illumina HiSeq system and analyzed using various statistical methods. Expression patterns of several selected genes were validated using qRT-PCR. RESULTS About 447 millions of RNA-Seq sequences were generated from 40 RNA libraries covering various different berry developmental stages of 'Fengzao' and 'Kyoho'. These sequences were mapped to 23,178 and 22,982 genes in the flesh and peel tissues, respectively. While most genes in 'Fengzao' and 'Kyoho' shared similar expression patterns over different berry developmental stages, there were many genes whose expression were detected only in 'Fengzao' or 'Kyoho'. We observed 10 genes in flesh tissue and 22 genes in peel tissue were differentially expressed at FDR ≤ 0.05 when the mean expression of 'Fengzao' and 'Kyoho' were compared. The most noticeable one was VIT_214s0030g00950 (a superoxide dismutase gene). This ROS related gene showed lower expression levels in 'Fengzao' than 'Kyoho' in both peel and flesh tissues across various berry developmental stages with the only exception at véraison. VIT_200s0238g00060 (TMV resistance protein n-like) and VIT_213s0067g01100 (disease resistance protein at3g14460-like) were the two other noticeable genes which were found differentially expressed between the two cultivars in both peel and flesh tissues. GO functional category and KEGG enrichment analysis of DEGs indicated that gene activities related to stress and ROS were altered between the two cultivars in both flesh and peel tissues. Several differentially expressed genes of interest were successfully validated using qRT-PCR. CONCLUSIONS Comparative profiling analysis revealed a few dozens of genes which were differentially expressed in the developing berries of 'Kyoho' and its early ripening mutant 'Fengzao'. Further analysis of these differentially expressed genes suggested that gene activities related to ROS and pathogenesis were likely involved in contributing to the early ripening in 'Fengzao'.
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Affiliation(s)
- Da-Long Guo
- College of Forestry, Henan University of Science and Technology, Luoyang, 471003, Henan Province, China.,USDA-Agricultural Research Service, Grape Genetics Research Unit, Geneva, NY, 14456, USA
| | - Fei-Fei Xi
- College of Forestry, Henan University of Science and Technology, Luoyang, 471003, Henan Province, China
| | - Yi-He Yu
- College of Forestry, Henan University of Science and Technology, Luoyang, 471003, Henan Province, China
| | - Xiao-Yu Zhang
- College of Forestry, Henan University of Science and Technology, Luoyang, 471003, Henan Province, China
| | - Guo-Hai Zhang
- College of Forestry, Henan University of Science and Technology, Luoyang, 471003, Henan Province, China
| | - Gan-Yuan Zhong
- USDA-Agricultural Research Service, Grape Genetics Research Unit, Geneva, NY, 14456, USA.
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Fan S, Zhang D, Lei C, Chen H, Xing L, Ma J, Zhao C, Han M. Proteome Analyses Using iTRAQ Labeling Reveal Critical Mechanisms in Alternate Bearing Malus prunifolia. J Proteome Res 2016; 15:3602-3616. [DOI: 10.1021/acs.jproteome.6b00357] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Affiliation(s)
- Sheng Fan
- College of Horticulture, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Dong Zhang
- College of Horticulture, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Chao Lei
- College of Horticulture, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Hongfei Chen
- College of Horticulture, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Libo Xing
- College of Horticulture, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Juanjuan Ma
- College of Horticulture, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Caiping Zhao
- College of Horticulture, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Mingyu Han
- College of Horticulture, Northwest A&F University, Yangling, Shaanxi 712100, China
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Shiratake K, Suzuki M. Omics studies of citrus, grape and rosaceae fruit trees. BREEDING SCIENCE 2016; 66:122-38. [PMID: 27069397 PMCID: PMC4780796 DOI: 10.1270/jsbbs.66.122] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2015] [Accepted: 11/01/2015] [Indexed: 05/06/2023]
Abstract
Recent advance of bioinformatics and analytical apparatuses such as next generation DNA sequencer (NGS) and mass spectrometer (MS) has brought a big wave of comprehensive study to biology. Comprehensive study targeting all genes, transcripts (RNAs), proteins, metabolites, hormones, ions or phenotypes is called genomics, transcriptomics, proteomics, metabolomics, hormonomics, ionomics or phenomics, respectively. These omics are powerful approaches to identify key genes for important traits, to clarify events of physiological mechanisms and to reveal unknown metabolic pathways in crops. Recently, the use of omics approach has increased dramatically in fruit tree research. Although the most reported omics studies on fruit trees are transcriptomics, proteomics and metabolomics, and a few is reported on hormonomics and ionomics. In this article, we reviewed recent omics studies of major fruit trees, i.e. citrus, grapevine and rosaceae fruit trees. The effectiveness and prospects of omics in fruit tree research will as well be highlighted.
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Affiliation(s)
- Katsuhiro Shiratake
- Graduate School of Bioagricultural Sciences, Nagoya University,
Chikusa, Nagoya, Aichi 464-8601,
Japan
- Corresponding author (e-mail: )
| | - Mami Suzuki
- Graduate School of Bioagricultural Sciences, Nagoya University,
Chikusa, Nagoya, Aichi 464-8601,
Japan
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