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Pons C, Casals J, Brower M, Sacco A, Riccini A, Hendrickx P, Figás MDR, Fisher J, Grandillo S, Mazzucato A, Soler S, Zamir D, Causse M, Díez MJ, Finkers R, Prohens J, Monforte AJ, Granell A. Diversity and genetic architecture of agro-morphological traits in a core collection of European traditional tomato. JOURNAL OF EXPERIMENTAL BOTANY 2023; 74:5896-5916. [PMID: 37527560 PMCID: PMC10540738 DOI: 10.1093/jxb/erad306] [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: 03/07/2023] [Accepted: 07/28/2023] [Indexed: 08/03/2023]
Abstract
European traditional tomato varieties have been selected by farmers given their consistent performance and adaptation to local growing conditions. Here we developed a multipurpose core collection, comprising 226 accessions representative of the genotypic, phenotypic, and geographical diversity present in European traditional tomatoes, to investigate the basis of their phenotypic variation, gene×environment interactions, and stability for 33 agro-morphological traits. Comparison of the traditional varieties with a modern reference panel revealed that some traditional varieties displayed excellent agronomic performance and high trait stability, as good as or better than that of their modern counterparts. We conducted genome-wide association and genome-wide environment interaction studies and detected 141 quantitative trait loci (QTLs). Out of those, 47 QTLs were associated with the phenotype mean (meanQTLs), 41 with stability (stbQTLs), and 53 QTL-by-environment interactions (QTIs). Most QTLs displayed additive gene actions, with the exception of stbQTLs, which were mostly recessive and overdominant QTLs. Both common and specific loci controlled the phenotype mean and stability variation in traditional tomato; however, a larger proportion of specific QTLs was observed, indicating that the stability gene regulatory model is the predominant one. Developmental genes tended to map close to meanQTLs, while genes involved in stress response, hormone metabolism, and signalling were found within regions affecting stability. A total of 137 marker-trait associations for phenotypic means and stability were novel, and therefore our study enhances the understanding of the genetic basis of valuable agronomic traits and opens up a new avenue for an exploitation of the allelic diversity available within European traditional tomato germplasm.
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Affiliation(s)
- Clara Pons
- Instituto de Conservación y Mejora de la Agrodiversidad Valenciana (COMAV), Universitat Politècnica de València, València, Spain
- Instituto de Biología Molecular y Celular de Plantas (IBMCP). Consejo Superior de Investigaciones Científicas (CSIC), Universitat Politècnica de València, València, Spain
| | - Joan Casals
- Department of Agri-Food Engineering and Biotechnology/Miquel Agustí Foundation, Universitat Politècnica de Catalunya, Campus Baix Llobregat, Esteve Terrades 8, 08860 Castelldefels, Spain
| | - Matthijs Brower
- Wageningen University & Research, Plant Breeding, POB 386, NL-6700 AJ Wageningen, The Netherlands
| | - Adriana Sacco
- Institute of Biosciences and BioResources (IBBR), National Research Council of Italy (CNR), Via Università 133, 80055 Portici, Italy
| | - Alessandro Riccini
- Department of Agriculture and Forest Sciences (DAFNE), Università degli Studi della Tuscia, Viterbo, Italy
| | - Patrick Hendrickx
- Wageningen University & Research, Plant Breeding, POB 386, NL-6700 AJ Wageningen, The Netherlands
| | - Maria del Rosario Figás
- Instituto de Conservación y Mejora de la Agrodiversidad Valenciana (COMAV), Universitat Politècnica de València, València, Spain
| | - Josef Fisher
- Hebrew University of Jerusalem, Robert H. Smith Institute of Plant Sciences and Genetics in Agriculture, Rehovot, Israel
| | - Silvana Grandillo
- Institute of Biosciences and BioResources (IBBR), National Research Council of Italy (CNR), Via Università 133, 80055 Portici, Italy
| | - Andrea Mazzucato
- Department of Agriculture and Forest Sciences (DAFNE), Università degli Studi della Tuscia, Viterbo, Italy
| | - Salvador Soler
- Instituto de Conservación y Mejora de la Agrodiversidad Valenciana (COMAV), Universitat Politècnica de València, València, Spain
| | - Dani Zamir
- Hebrew University of Jerusalem, Robert H. Smith Institute of Plant Sciences and Genetics in Agriculture, Rehovot, Israel
| | - Mathilde Causse
- INRAE, UR1052, Génétique et Amélioration des Fruits et Légumes 67 Allée des Chênes, Domaine Saint Maurice, CS60094, Montfavet, 84143, France
| | - Maria José Díez
- Instituto de Conservación y Mejora de la Agrodiversidad Valenciana (COMAV), Universitat Politècnica de València, València, Spain
| | - Richard Finkers
- Wageningen University & Research, Plant Breeding, POB 386, NL-6700 AJ Wageningen, The Netherlands
| | - Jaime Prohens
- Instituto de Conservación y Mejora de la Agrodiversidad Valenciana (COMAV), Universitat Politècnica de València, València, Spain
| | - Antonio Jose Monforte
- Instituto de Biología Molecular y Celular de Plantas (IBMCP). Consejo Superior de Investigaciones Científicas (CSIC), Universitat Politècnica de València, València, Spain
| | - Antonio Granell
- Instituto de Biología Molecular y Celular de Plantas (IBMCP). Consejo Superior de Investigaciones Científicas (CSIC), Universitat Politècnica de València, València, Spain
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Alseekh S, Karakas E, Zhu F, Wijesingha Ahchige M, Fernie AR. Plant biochemical genetics in the multiomics era. JOURNAL OF EXPERIMENTAL BOTANY 2023; 74:4293-4307. [PMID: 37170864 PMCID: PMC10433942 DOI: 10.1093/jxb/erad177] [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: 12/13/2022] [Accepted: 05/09/2023] [Indexed: 05/13/2023]
Abstract
Our understanding of plant biology has been revolutionized by modern genetics and biochemistry. However, biochemical genetics can be traced back to the foundation of Mendelian genetics; indeed, one of Mendel's milestone discoveries of seven characteristics of pea plants later came to be ascribed to a mutation in a starch branching enzyme. Here, we review both current and historical strategies for the elucidation of plant metabolic pathways and the genes that encode their component enzymes and regulators. We use this historical review to discuss a range of classical genetic phenomena including epistasis, canalization, and heterosis as viewed through the lens of contemporary high-throughput data obtained via the array of approaches currently adopted in multiomics studies.
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Affiliation(s)
- Saleh Alseekh
- Max Planck Institute of Molecular Plant Physiology, 14476 Potsdam-Golm, Germany
- Center of Plant Systems Biology and Biotechnology, Plovdiv, Bulgaria
| | - Esra Karakas
- Max Planck Institute of Molecular Plant Physiology, 14476 Potsdam-Golm, Germany
| | - Feng Zhu
- National R&D Center for Citrus Preservation, Key Laboratory of Horticultural Plant Biology, Ministry of Education, Huazhong Agricultural University, 430070 Wuhan, China
| | | | - Alisdair R Fernie
- Max Planck Institute of Molecular Plant Physiology, 14476 Potsdam-Golm, Germany
- Center of Plant Systems Biology and Biotechnology, Plovdiv, Bulgaria
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Wijesingha Ahchige M, Fernie AR, Alseekh S. PANTOTHENATE KINASE4, LOSS OF GDU2, and TRANSPOSON PROTEIN1 affect the canalization of tomato fruit metabolism. PLANT PHYSIOLOGY 2023; 192:442-468. [PMID: 36794426 PMCID: PMC10152668 DOI: 10.1093/plphys/kiad093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 01/24/2023] [Accepted: 01/24/2023] [Indexed: 05/03/2023]
Abstract
Most studies investigating quantitative traits focus on mean levels per genotype rather than the variation between different individuals of one genotype or the variation elicited by different environments. Consequently, the genes that govern this effect are not well understood. The concept, named canalization, which describes a lack of variation, is well known in the context of developmental processes but is poorly studied for quantitative traits such as metabolism. In this study, we selected 8 putative candidate genes from previously identified canalized metabolic quantitative trait loci and created genome-edited tomato (Solanum lycopersicum) mutants of these genes for experimental validation. Most lines showed wild-type morphology, except for an ARF-like protein mutant showing aberrant phenotypes in the form of scarred fruit cuticles. In greenhouse trials with different irrigation conditions, whole-plant traits showed a general increase of their level toward the more optimal irrigation conditions, whereas most metabolic traits showed an increase toward the other end of the gradient. Mutants of a PANTOTHENATE KINASE 4, the AIRP ubiquitin gene LOSS OF GDU2, and TRANSPOSON PROTEIN 1 grown under these conditions showed an overall improved plant performance. Additional effects, on both target and other metabolites in tomato fruits, regarding the mean level at specific conditions and, ergo, the cross-environment coefficient of variation, were observed. However, variation between individuals remained unaffected. In conclusion, this study supports the idea of distinct sets of genes regulating different types of variation.
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Affiliation(s)
- Micha Wijesingha Ahchige
- Root Biology and Symbiosis, Max Planck Institute of Molecular Plant Physiology, Am Mühlenberg 1, Potsdam-Golm 14476, Germany
| | - Alisdair R Fernie
- Root Biology and Symbiosis, Max Planck Institute of Molecular Plant Physiology, Am Mühlenberg 1, Potsdam-Golm 14476, Germany
- Center of Plant Systems Biology and Biotechnology, Ruski Blvd. 139, Plovdiv 4000, Bulgaria
| | - Saleh Alseekh
- Root Biology and Symbiosis, Max Planck Institute of Molecular Plant Physiology, Am Mühlenberg 1, Potsdam-Golm 14476, Germany
- Center of Plant Systems Biology and Biotechnology, Ruski Blvd. 139, Plovdiv 4000, Bulgaria
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Amanullah S, Li S, Osae BA, Yang T, Abbas F, Gao M, Wang X, Liu H, Gao P, Luan F. Primary mapping of quantitative trait loci regulating multivariate horticultural phenotypes of watermelon ( Citrullus lanatus L.). FRONTIERS IN PLANT SCIENCE 2023; 13:1034952. [PMID: 36714694 PMCID: PMC9877429 DOI: 10.3389/fpls.2022.1034952] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 12/20/2022] [Indexed: 06/18/2023]
Abstract
Watermelon fruits exhibit a remarkable diversity of important horticultural phenotypes. In this study, we initiated a primary quantitative trait loci (QTL) mapping to identify the candidate regions controlling the ovary, fruit, and seed phenotypes. Whole genome sequencing (WGS) was carried out for two differentiated watermelon lines, and 350 Mb (96%) and 354 Mb (97%) of re-sequenced reads covered the reference de novo genome assembly, individually. A total of 45.53% non-synonymous single nucleotide polymorphism (nsSNPs) and 54.47% synonymous SNPs (sSNPs) were spotted, which produced 210 sets of novel SNP-based cleaved amplified polymorphism sequence (CAPS) markers by depicting 46.25% co-dominant polymorphism among parent lines and offspring. A biparental F2:3 mapping population comprised of 100 families was used for trait phenotyping and CAPS genotyping, respectively. The constructed genetic map spanned a total of 2,398.40 centimorgans (cM) in length and averaged 11.42 cM, with 95.99% genome collinearity. A total of 33 QTLs were identified at different genetic positions across the eight chromosomes of watermelon (Chr-01, Chr-02, Chr-04, Chr-05, Chr-06, Chr-07, Chr-10, and Chr-11); among them, eight QTLs of the ovary, sixteen QTLs of the fruit, and nine QTLs of the seed related phenotypes were classified with 5.32-25.99% phenotypic variance explained (PVE). However, twenty-four QTLs were identified as major-effect and nine QTLs were mapped as minor-effect QTLs across the flanking regions of CAPS markers. Some QTLs were exhibited as tightly localized across the nearby genetic regions and explained the pleiotropic effects of multigenic nature. The flanking QTL markers also depicted significant allele specific contributions and accountable genes were predicted for respective traits. Gene Ontology (GO) functional enrichment was categorized in molecular function (MF), cellular components (CC), and biological process (BP); however, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were classified into three main classes of metabolism, genetic information processing, and brite hierarchies. The principal component analysis (PCA) of multivariate phenotypes widely demonstrated the major variability, consistent with the identified QTL regions. In short, we assumed that our identified QTL regions provide valuable genetic insights regarding the watermelon phenotypes and fine genetic mapping could be used to confirm them.
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Affiliation(s)
- Sikandar Amanullah
- College of Horticulture and Landscape Architecture, Northeast Agricultural University, Harbin, China
- Key Laboratory of Biology and Genetic Improvement of Horticulture Crops (Northeast Region), Ministry of Agriculture and Rural Affairs, Harbin, China
| | - Shenglong Li
- College of Horticulture and Landscape Architecture, Northeast Agricultural University, Harbin, China
- Key Laboratory of Biology and Genetic Improvement of Horticulture Crops (Northeast Region), Ministry of Agriculture and Rural Affairs, Harbin, China
| | - Benjamin Agyei Osae
- College of Horticulture and Landscape Architecture, Northeast Agricultural University, Harbin, China
- Key Laboratory of Biology and Genetic Improvement of Horticulture Crops (Northeast Region), Ministry of Agriculture and Rural Affairs, Harbin, China
| | - Tiantian Yang
- College of Horticulture and Landscape Architecture, Northeast Agricultural University, Harbin, China
- Key Laboratory of Biology and Genetic Improvement of Horticulture Crops (Northeast Region), Ministry of Agriculture and Rural Affairs, Harbin, China
| | - Farhat Abbas
- College of Horticulture, South China Agricultural University, Guangzhou, China
| | - Meiling Gao
- College of Life Sciences, Agriculture and Forestry, Qiqihar University, Qiqihar, China
| | - Xuezheng Wang
- College of Horticulture and Landscape Architecture, Northeast Agricultural University, Harbin, China
- Key Laboratory of Biology and Genetic Improvement of Horticulture Crops (Northeast Region), Ministry of Agriculture and Rural Affairs, Harbin, China
| | - Hongyu Liu
- College of Horticulture and Landscape Architecture, Northeast Agricultural University, Harbin, China
- Key Laboratory of Biology and Genetic Improvement of Horticulture Crops (Northeast Region), Ministry of Agriculture and Rural Affairs, Harbin, China
| | - Peng Gao
- College of Horticulture and Landscape Architecture, Northeast Agricultural University, Harbin, China
- Key Laboratory of Biology and Genetic Improvement of Horticulture Crops (Northeast Region), Ministry of Agriculture and Rural Affairs, Harbin, China
| | - Feishi Luan
- College of Horticulture and Landscape Architecture, Northeast Agricultural University, Harbin, China
- Key Laboratory of Biology and Genetic Improvement of Horticulture Crops (Northeast Region), Ministry of Agriculture and Rural Affairs, Harbin, China
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Fisher J, Zamir D. Genes for Yield Stability in Tomatoes. ADVANCED GENETICS (HOBOKEN, N.J.) 2021; 2:2100049. [PMID: 36619854 PMCID: PMC9744526 DOI: 10.1002/ggn2.202100049] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Revised: 10/28/2021] [Indexed: 01/11/2023]
Abstract
Breeding plant varieties with adaptation to unstable environments requires some knowledge about the genetic control of yield stability. To further this goal, a meta-analysis of 12 years of field harvest data of 76 Solanum pennellii introgression lines (ILs) is conducted. Five quantitative trait loci (QTL) affecting yield stability are mapped; IL10-2-2 is unique as this introgression improved yield stability without affecting mean yield both in the historic data and in four years of field validations. Another dimension of the stability question is which genes when perturbed affect yield stability. For this the authors tested in the field 48 morphological mutants and found one 'canalization' mutant (canal-1) with a consistent effect of reducing the stability of a bouquet of traits including leaf variegation, plant size and yield. canal-1 mapped to a DNAJ chaperone gene (Solyc01g108200) whose homologues in C. elegans regulate phenotypic canalization. Additional alleles of canal-1 are generated using CRISPR/CAS9 and the resulting seedlings have uniform variegation suggesting that only specific changes in canal-1 can lead to unstable variegation and yield instability. The identification of IL10-2-2 demonstrates the value of historical phenotypic data for discovering genes for stability. It is also shown that a green-fruited wild species is a source of QTL to improve tomato yield stability.
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Affiliation(s)
- Josef Fisher
- The Institute of Plant SciencesFaculty of AgricultureThe Hebrew University of JerusalemPO Box 12Rehovot76100Israel
| | - Dani Zamir
- The Institute of Plant SciencesFaculty of AgricultureThe Hebrew University of JerusalemPO Box 12Rehovot76100Israel
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Laitinen RAE, Nikoloski Z. Genetic basis of plasticity in plants. JOURNAL OF EXPERIMENTAL BOTANY 2019; 70:739-745. [PMID: 30445526 DOI: 10.1093/jxb/ery404] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/29/2018] [Accepted: 11/06/2018] [Indexed: 05/20/2023]
Abstract
The ability of an organism to change its phenotype in response to different environments, termed plasticity, is a particularly important characteristic to enable sessile plants to adapt to rapid changes in their surroundings. Plasticity is a quantitative trait that can provide a fitness advantage and mitigate negative effects due to environmental perturbations. Yet, its genetic basis is not fully understood. Alongside technological limitations, the main challenge in studying plasticity has been the selection of suitable approaches for quantification of phenotypic plasticity. Here, we propose a categorization of the existing quantitative measures of phenotypic plasticity into nominal and relative approaches. Moreover, we highlight the recent advances in the understanding of the genetic architecture underlying phenotypic plasticity in plants. We identify four pillars for future research to uncover the genetic basis of phenotypic plasticity, with emphasis on development of computational approaches and theories. These developments will allow us to perform specific experiments to validate the causal genes for plasticity and to discover their role in plant fitness and evolution.
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Affiliation(s)
- Roosa A E Laitinen
- Max Planck Institute of Molecular Plant Physiology, Am Mühlenberg, Potsdam, Germany
| | - Zoran Nikoloski
- Max Planck Institute of Molecular Plant Physiology, Am Mühlenberg, Potsdam, Germany
- Bioinformatics group, Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany
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Pereira L, Ruggieri V, Pérez S, Alexiou KG, Fernández M, Jahrmann T, Pujol M, Garcia-Mas J. QTL mapping of melon fruit quality traits using a high-density GBS-based genetic map. BMC PLANT BIOLOGY 2018; 18:324. [PMID: 30509167 PMCID: PMC6278158 DOI: 10.1186/s12870-018-1537-5] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2018] [Accepted: 11/19/2018] [Indexed: 05/22/2023]
Abstract
BACKGROUND Melon shows a broad diversity in fruit morphology and quality, which is still underexploited in breeding programs. The knowledge of the genetic basis of fruit quality traits is important for identifying new alleles that may be introduced in elite material by highly efficient molecular breeding tools. RESULTS In order to identify QTLs controlling fruit quality, a recombinant inbred line population was developed using two commercial cultivars as parental lines: "Védrantais", from the cantalupensis group, and "Piel de Sapo", from the inodorus group. Both have desirable quality traits for the market, but their fruits differ in traits such as rind and flesh color, sugar content, ripening behavior, size and shape. We used a genotyping-by-sequencing strategy to construct a dense genetic map, which included around five thousand variants distributed in 824 bins. The RIL population was phenotyped for quality and morphology traits, and we mapped 33 stable QTLs involved in sugar and carotenoid content, fruit and seed morphology and major loci controlling external color of immature fruit and mottled rind. The median confidence interval of the QTLs was 942 kb, suggesting that the high density of the genetic map helped in increasing the mapping resolution. Some of these intervals contained less than a hundred annotated genes, and an integrative strategy combining gene expression and resequencing data enabled identification of candidate genes for some of these traits. CONCLUSION Several QTLs controlling fruit quality traits in melon were identified and delimited to narrow genomic intervals, using a RIL population and a GBS-based genetic map.
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Affiliation(s)
- L. Pereira
- Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Campus UAB, 08193 Cerdanyola, Barcelona, Spain
| | - V. Ruggieri
- Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Campus UAB, 08193 Cerdanyola, Barcelona, Spain
- IRTA (Institut de Recerca i Tecnologia Agroalimentàries), Campus UAB, 08193 Cerdanyola, Barcelona, Spain
| | - S. Pérez
- Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Campus UAB, 08193 Cerdanyola, Barcelona, Spain
| | - K. G. Alexiou
- Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Campus UAB, 08193 Cerdanyola, Barcelona, Spain
- IRTA (Institut de Recerca i Tecnologia Agroalimentàries), Campus UAB, 08193 Cerdanyola, Barcelona, Spain
| | - M. Fernández
- Semillas Fitó S.A., 08348 Cabrera de Mar, Barcelona, Spain
| | - T. Jahrmann
- Semillas Fitó S.A., 08348 Cabrera de Mar, Barcelona, Spain
| | - M. Pujol
- Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Campus UAB, 08193 Cerdanyola, Barcelona, Spain
- IRTA (Institut de Recerca i Tecnologia Agroalimentàries), Campus UAB, 08193 Cerdanyola, Barcelona, Spain
| | - J. Garcia-Mas
- Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Campus UAB, 08193 Cerdanyola, Barcelona, Spain
- IRTA (Institut de Recerca i Tecnologia Agroalimentàries), Campus UAB, 08193 Cerdanyola, Barcelona, Spain
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