Abstract
After the culmination of Human Genome Project in 2003, it was prophesied that the upcoming era in modern biotechnology would pose as a real acid test. While the pre-genomic era was marked by the efforts to sequence the human genome, advancements into the post-genomic era are characterized by the challenge of reaping benefits from these genomic texts. Formidably a large data is generated from high throughput techniques, and it cannot be used efficiently in probing the plant genome and evolution without the aid of bioinformatics. The goal of this field is thus, to provide computational approaches and in silico methodologies for coping with, and interpreting this genomic data to develop new cost-effective, accessible, safe and reliable treatments for diseases such as cancer. A major aspect of cancer research focuses on studying clinically useful plant-derived anticancer agents and promising new plants with anticancer potential. Also, certain agents that have failed in earlier clinical studies are considered for evaluation to obtain novel anticancer drugs using bioinformatics approaches and this field has triggered more interest among researchers in recent years. The aim of this chapter is to merge the sphere of computer-based methods in ‘omics’ technologies with the anticancer analysis of plant sources, and also to cover the sophisticated bioinformatics softwares and tools adopted in the process.
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References
Al-Haggar MMS, Khair-Allaha BA, Islam MM, Mohamed ASA (2013) Bioinformatics in high throughput sequencing: application in evolving genetic diseases. J Data Mining Genom Proteom 4:3. https://doi.org/10.4172/2153-0602.1000131
Alsemari A, Alkhodairy F, Aldakan A, Al-Mohanna M, Bahoush E, Shinwari Z, Alaiya A (2014) The selective cytotoxic anticancer properties and proteomic analysis of Trigonella foenum-graecum. BMC Complement Altern Med 14:114. https://doi.org/10.1186/1472-6882-14-114
Anantachoke N, Tuchinda P, Kuhakarn C, Pohmakotr M, Reutrakul V (2012) Prenylated caged xanthones: chemistry and biology. Pharm Biol 50:78–91
Annadurai RS, Neethiraj R, Jayakumar V, Damodaran AC, Rao SN, Katta MA, Gopinathan S, Sarma SP, Senthilkumar V, Niranjan V, Gopinath A (2013) De novo transcriptome assembly (NGS) of Curcuma longa L. rhizome reveals novel transcripts related to anticancer and antimalarial terpenoids. PLoS One 8:e56217. https://doi.org/10.1371/journal.pone.0056217
Armitage EG, Southam AD (2016) Monitoring cancer prognosis, diagnosis and treatment efficacy using metabolomics and lipidomics. Metabolomics 12:146
Arntzen MO, Koehler CJ, Barsnes H, Berven FS, Treumann A, Thiede B (2011) IsobariQ: software for isobaric quantitative proteomics using IPTL, iTRAQ, and TMT. J Proteome Res 10:913–920
Atanasov AG, Waltenberger B, Pferschy-Wenzig EM, Linder T, Wawrosch C, Uhrin P, Temml V, Wang L, Schwaiger S, Heiss EH, Rollinger JM (2015) Discovery and resupply of pharmacologically active plant-derived natural products: a review. Biotechnol Adv 33:1582–1614
Au KF, Jiang H, Lin L, Xing Y, Wong WH (2010) Detection of splice junctions from paired-end RNA-seq data by SpliceMap. Nucleic Acids Res 38:4570–4578
Boutanaev AM, Moses T, Zi J, Nelson DR, Mugford ST, Peters RJ, Osbourn A (2015) Investigation of terpene diversification across multiple sequenced plant genomes. Proc Natl Acad Sci U S A 112:E81–E88
Cai J, Liu X, Vanneste K, Proost S, Tsai WC, Liu KW, Chen LJ, He Y, Xu Q, Bian C, Zheng Z (2015) The genome sequence of the orchid Phalaenopsis equestris. Nat Genet 47:65–72
Campbell MS, Holt C, Moore B, Yandell M (2014) Genome annotation and curation using MAKER and MAKER-P. Curr Protoc Bioinformatics 12:4–11
Chalhoub B, Denoeud F, Liu S, Parkin IA, Tang H, Wang X, Chiquet J, Belcram H, Tong C, Samans B, Corréa M (2014) Early allopolyploid evolution in the post-Neolithic Brassica napus oilseed genome. Science 345:950–953
Chantarasriwong O, Batova A, Chavasiri W, Theodorakis EA (2010) Chemistry and biology of the caged Garcinia xanthones. Chem Eur J 16:9944–9962
Chen S, Sun Y, Xu J, Luo H, Sun C, He L, Cheng X, Zhang B, Xiao P (2010) Strategies of the study on herb genome program. Yao Xue Xue Bao 45:807–812
Chen T, Zhang RH, He SC, Xu QY, Ma L, Wang GC, Qiu N, Peng F, Chen JY, Qiu JX, Peng AH (2012) Synthesis and antiangiogenic activity of novel gambogic acid derivatives. Molecules 17:6249–6268
Cragg GM, Newman DJ (2013) Natural products: a continuing source of novel drug leads. Biochim Biophys Acta 1830:3670–3695
Cruaud A, Gautier M, Rossi JP, Rasplus JY, Gouzy J (2016) RADIS: analysis of RAD-seq data for interspecific phylogeny. Bioinformatics 32:3027–3028
Dai X, Zhao PX (2011) psRNATarget: a plant small RNA target analysis server. Nucleic Acids Res 39:W155–W159
Denoeud F, Carretero-Paulet L, Dereeper A, Droc G, Guyot R, Pietrella M, Zheng C, Alberti A, Anthony F, Aprea G, Aury JM (2014) The coffee genome provides insight into the convergent evolution of caffeine biosynthesis. Science 345:1181–1184
Dijkstra KK, Voabil P, Schumacher TN, Voest EE (2016) Genomics and transcriptomics based patient selection for cancer treatment with immune checkpoint inhibitors: a review. JAMA Oncol 2:1490–1495
Drillon G, Carbone A, Fischer G (2014) SynChro: a fast and easy tool to reconstruct and visualize synteny blocks along eukaryotic chromosomes. PLoS One 9:e92621
Duitama J, Quintero JC, Cruz DF, Quintero C, Hubmann G, Foulquié-Moreno MR, Verstrepen KJ, Thevelein JM, Tohme J (2014) An integrated framework for discovery and genotyping of genomic variants from high-throughput sequencing experiments. Nucleic Acids Res 42:e44. https://doi.org/10.1093/nar/gkt1381
Duran C, Boskovic Z, Imelfort M, Batley J, Hamilton NA, Edwards D (2010) CMap3D: a 3D visualization tool for comparative genetic maps. Bioinformatics 26:273–274
Eaton DA (2014) PyRAD: assembly of de novo RADseq loci for phylogenetic analyses. Bioinformatics 30:1844–1849
Edwards MD, Gifford DK (2012) High-resolution genetic mapping with pooled sequencing. BMC Bioinform 13:S8
El-Naggar SA, Abdel-Farid IB, Elgebaly HA, Germoush MO (2015) Metabolomic profiling, antioxidant capacity and in vitro anticancer activity of some compositae plants growing in Saudi Arabia. Afr J Pharm Pharmacol 9:764–774
Fang HY, Chen SB, Guo DJ, Pan SY, Yu ZL (2011) Proteomic identification of differentially expressed proteins in curcumin-treated MCF-7 cells. Phytomedicine 18:697–703
Fernandes F, da Fonseca PG, Russo LM, Oliveira AL, Freitas AT (2011) Efficient alignment of pyrosequencing reads for re-sequencing applications. BMC Bioinform 12:163
Fridlender M, Kapulnik Y, Koltai H (2015) Plant derived substances with anticancer activity: from folklore to practice. Front Plant Sci 6:799
Fu WM, Zhang JF, Wang H, Tan HS, Wang WM, Chen SC, Zhu X, Chan TM, Tse CM, Leung KS, Lu G (2012a) Apoptosis induced by 1,3,6,7-tetrahydroxy xanthone in Hepatocellular carcinoma and proteomic analysis. Apoptosis 12:842–851
Fu WM, Zhang JF, Wang H, Xi ZC, Wang WM, Zhuang P, Zhu X, Chen SC, Chan TM, Leung KS, Lu G (2012b) Heat shock protein 27 mediates the effect of 1,3,5-trihydroxy-13,13-dimethyl-2H-pyran [7,6-b] xanthone on mitochondrial apoptosis in hepatocellular carcinoma. J Proteome 75:4833–4843
Fu L, Niu B, Zhu Z, Wu S, Li W (2012c) CD-HIT: accelerated for clustering the next-generation sequencing data. Bioinformatics 28:3150–3152
Glaubitz JC, Casstevens TM, Lu F (2014) TASSEL-GBS: a high capacity genotyping by sequencing analysis pipeline. PLoS One 9:e90346
Gordon D, Green P (2013a) Consed: a graphical editor for next-generation sequencing. BMC Bioinform 29:2936–2937
Gordon D, Green P (2013b) Consed: a graphical editor for next-generation sequencing. Bioinformatics 29:2936–2937
Gupta P, Goel R, Agarwal AK, Asif MH, Sangwan NS, Sangwan RS, Trivedi PK (2015) Comparative transcriptome analysis of different chemotypes elucidates withanolide biosynthesis pathway from medicinal plant Withania somnifera. Sci Rep 5:18611
Hao DC, Xiao PG (2015) Genomics and evolution in traditional medicinal plants: road to a healthier life. Evol Bioform Online 11:197–212
Hao DC, Chen SL, Osbourn A, Kontogianni VG, Liu LW, Jordán MJ (2015a) Temporal transcriptome changes induced by methyl jasmonate in Salvia sclarea. Gene 558:41–53
Hao DC, Xiao PG, Liu LW, Peng Y, He CN (2015b) Essentials of pharmacophylogeny: knowledge pedigree, epistemology and paradigm shift. China J Chin Mat Med 40:1–8
Hao DC, He CN, Shen J, Xiao PG (2017) Anticancer chemodiversity of Ranunculaceae medicinal plants: molecular mechanisms and functions. Curr Genomics 18:39–59
Henderson-MacLennan NK, Papp JC, Talbot CC, McCabe ER, Presson AP (2010) Pathway analysis software: annotation errors and solutions. Mol Genet Metab 101:134–140
Horgan RP, Kenny LC (2011) Omic technologies: genomics, transcriptomics, proteomics and metabolomics. The Obstet Gynaecol 13:189–195
Huang WS, Kuo YH, Chin CC, Wang JY, Yu HR, Sheen JM, Tung SY, Shen CH, Chen TC, Sung ML, Liang HF (2012) Proteomic analysis of the effects of baicalein on colorectal cancer cells. Proteomics 12:810–819
Kalra S, Puniya BL, Kulshreshtha D, Kumar S, Kaur J, Ramachandran S, Singh K (2013) De novo transcriptome sequencing reveals important molecular networks and metabolic pathways of the plant, Chlorophytum borivilianum. PLoS One 8:e83336
Katiyar C, Gupta A, Kanjilal S, Katiyar S (2012) Drug discovery from plant sources: an integrated approach. Ayu 33:10–19
Kim HK, Wilson EG, Choi YH, Verpoorte R (2010) Metabolomics: a tool for anticancer lead-finding from natural products. Planta Med 76:1094–1102
Kim D, Pertea G, Trapnell C, Pimentel H, Kelley R, Salzberg SL (2013) TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions. Genome Biol 14:R36
Kim BY, Park HS, Kim S, Kim YD (2017) Development of microsatellite markers for Viscum coloratum (Santalaceae) and their application to wild populations. Appl Plant Sci 5:1600102
Kumar M, Meena P, Verma S, Kumar M, Kumar A (2010) Anti-tumour, anti-mutagenic and chemomodulatory potential of Chlorophytum borivilianum. A Pac J Cancer Prev 11:327–334
Langmead B (2010) Aligning short sequencing reads with Bowtie. Curr Protoc Bioinformatics 11:11.7.1–11.7.14. https://doi.org/10.1002/0471250953.bi1107s32
Lao Y, Wang X, Xu N, Zhang H, Xu H (2014) Application of proteomics to determine the mechanism of action of traditional Chinese medicine remedies. J Ethnopharmacol 155:1–8
Lee J, Hong WY, Cho M, Sim M, Lee D, Ko Y, Kim J (2016) Synteny portal: a web-based application portal for synteny block analysis. Nucleic Acids Res 44:W35–W40
Li R, Zhu H, Ruan J, Qian W, Fang X, Shi Z, Li Y, Li S, Shan G, Kristiansen K, Li S (2010) De novo assembly of human genomes with massively parallel short read sequencing. Genome Res 20:265–272
Liu Z, Ma L, Zhou GB (2011) The main anticancer bullets of the Chinese medicinal herb, thunder God vine. Molecules 16:5283–5297
Liu Y, Song F, Wu WK, He M, Zhao L, Sun X, Li H, Jiang Y, Yang Y, Peng K (2012) Triptolide inhibits colon cancer cell proliferation and induces cleavage and translocation of 14-3-3 epsilon. Cell Biochem Funct 30:271–278
Lo HY, Li CC, Huang HC, Lin LJ, Hsiang CY, Ho TY (2012) Application of transcriptomics in Chinese herbal medicine studies. J Tradit Compl Med 2:105–114
Lu Z, Song Q, Yang J, Zhao X, Zhang X, Yang P, Kang J (2014) Comparative proteomic analysis of anti-cancer mechanism by periplocin treatment in lung cancer cells. Cell Physiol Biochem 33:859–868
Macarron R, Banks MN, Bojanic D, Burns DJ, Cirovic DA, Garyantes T, Green DV, Hertzberg RP, Janzen WP, Paslay JW, Schopfer U (2011) Impact of high-throughput screening in biomedical research. Nat Rev Drug Discov 10:188–195
Machado M, Magalhaes WCS, Sene A et al (2011) Phred-Phrap package to analyses tools: a pipeline to facilitate population genetics re-sequencing studies. Investig Genet 2:3. https://doi.org/10.1186/2041-2223-2-3
Macindoe G, Mavridis L, Venkatraman V, Devignes MD, Ritchie DW (2010) HexServer: an FFT-based protein docking server powered by graphics processors. Nucleic Acids Res 38:W445–W449
Madden T (2013) The BLAST sequence tool. In: The NCBI handbook, 2nd edn. National Center for Biotechnology Information, Bethesda
Marchler-Bauer A, Zheng C, Chitsaz F, Derbyshire MK, Geer LY, Geer RC, Gonzales NR, Gwadz M, Hurwitz DI, Lanczycki CJ, Lu F (2013) CDD: conserved domains and protein three-dimensional structure. Nucleic Acids Res 41:D348–D352
Marchler-Bauer A, Derbyshire MK, Gonzales NR, Lu S, Chitsaz F, Geer LY, Geer RC, He J, Gwadz M, Hurwitz DI, Lanczycki CJ (2015) CDD: NCBI’s conserved domain database. Nucleic Acids Res 43:D222–D226
Mukherjee PK, Harwansh RK, Bahadur S, Biswas S, Kuchibhatla LN, Tetali SD, Raghavendra AS (2016) Metabolomics of medicinal plants-a versatile tool for standardization of herbal products and quality evaluation of Ayurvedic formulations. Curr Sci 111:1624–1630
Newman DJ, Cragg GM (2016) Natural products as sources of new drugs from 1981 to 2014. J Nat Prod 79:629–661
Noorolahi SM, Sadeghi S, Mohammadi M, Azadi M, Rahimi NA, Vahabi F, Arjmand M, Hosseini H, Mosallatpur S, Zamani Z (2016) Metabolomic profiling of cancer cells to Aloe vera extract by 1HNMR spectroscopy. J Metabol 2:1–7. https://doi.org/10.7243/2059-0008-2-1
Okada T, Mochamad Afendi F, Altaf-Ul-Amin M, Takahashi H, Nakamura K, Kanaya S (2010) Metabolomics of medicinal plants: the importance of multivariate analysis of analytical chemistry data. Curr Comput Aided Drug Des 6:179–196
Paicu C, Mohorianu I, Stocks M, Xu P, Coince A, Billmeier M, Dalmay T, Moulton V, Moxon S (2017) miRCat2: accurate prediction of plant and animal microRNAs from next-generation sequencing datasets. Bioinformatics 33:2446–2454
Perea C, De La Hoz JF, Cruz DF, Lobaton JD, Izquierdo P, Quintero JC, Raatz B, Duitama J (2016) Bioinformatic analysis of genotype by sequencing (GBS) data with NGSEP. BMC Genomics 17:S498. https://doi.org/10.1186/s12864-016-2827-7
Pickett BD, Karlinsey SM, Penrod CE, Cormier MJ, Ebbert MT, Shiozawa DK, Whipple CJ, Ridge PG (2016) SA-SSR: a suffix array-based algorithm for exhaustive and efficient SSR discovery in large genetic sequences. Bioinformatics 32:2707–2709
Qin C, Yu C, Shen Y, Fang X, Chen L, Min J, Cheng J, Zhao S, Xu M, Luo Y, Yang Y (2014) Whole-genome sequencing of cultivated and wild peppers provides insights into capsicum domestication and specialization. Proc Natl Acad Sci USA 111:5135–5140
Rubin BE, Ree RH, Moreau CS (2012) Inferring phylogenies from RAD sequence data. PLoS One 7:e33394
Sallam RM (2015) Proteomics in cancer biomarkers discovery: challenges and applications. Dis Markers 2015:321370
Sawada Y, Nakabayashi R, Yamada Y, Suzuki M, Sato M, Sakata A, Akiyama K, Sakurai T, Matsuda F, Aoki T, Hirai MY (2012) RIKEN tandem mass spectral database (ReSpect) for phytochemicals: a plant-specific MS/MS-based data resource and database. Phytochemistry 82:38–45
Schreiber F, Colmsee C, Czauderna T, Grafahrend-Belau E, Hartmann A, Junker A, Junker BH, Klapperstück M, Scholz U, Weise S (2012) MetaCrop 2.0: managing and exploring information about crop plant metabolism. Nucleic Acids Res 40:D1173–D1177
Schulz MH, Zerbino DR, Vingron M, Birney E (2012) Oases: robust de novo RNA-seq assembly across the dynamic range of expression levels. Bioinformatics 28:1086–1092
Segal MR, Xiong H, Bengtsson H, Bourgon R, Gentleman R (2012) Querying genomic databases: refining the connectivity map. Stat Appl Genet Mol Biol 11:1–6. https://doi.org/10.2202/1544-6115.1715
Soderlund C, Bomhoff M, Nelson WM (2011) SyMAP v3.4: a turnkey synteny system with application to plant genomes. Nucleic Acids Res 39:e68. https://doi.org/10.1093/nar/gkr123
Szklarczyk D, Franceschini A, Wyder S (2015) STRING v10: protein–protein interaction networks, integrated over the tree of life. Nucleic Acids Res 43:D447–D452
Szymanski P, Markowicz M, Mikiciuk-Olasik E (2012) Adaptation of high-throughput screening in drug discovery-toxicological screening tests. Int J MolSci 13:427–452
Talei D, Valdiani A, Rafii MY, Maziah M (2014) Proteomic analysis of the salt-responsive leaf and root proteins in the anticancer plant Andrographis paniculata Nees. PLoS One 91:e112907. https://doi.org/10.1371/journal.pone.0112907
Tecza K, Pamula-Pilat J, Lanuszewska J, Grzybowska E (2015) Pharmacogenetics of FAC chemotherapy side effects in breast cancer patients. Heredit Cancer Clin Pract 13:A10. https://doi.org/10.1186/1897-4287-13-s2-a10
Trapnell C, Williams BA, Pertea G, Mortazavi A, Kwan G, Van Baren MJ, Salzberg SL, Wold BJ, Pachter L (2010) Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation. Nat Biotechnol 28:511–515
Tulpan D, Léger S, Belliveau L, Culf A, Čuperlović-Culf M (2011) MetaboHunter: an automatic approach for identification of metabolites from 1HNMR spectra of complex mixtures. BMC Bioinform 12:400. https://doi.org/10.1186/1471-2105-12-400
Upadhyay AK, Chacko AR, Gandhimathi A, Ghosh P, Harini K, Joseph AP, Joshi AG, Karpe SD, Kaushik S, Kuravadi N, Lingu CS (2015) Genome sequencing of herb Tulsi (Ocimum tenuiflorum) unravels key genes behind its strong medicinal properties. BMC Plant Biol 15:212. https://doi.org/10.1186/s12870-015-0562-x
Uzilov AV, Ding W, Fink MY, Antipin Y, Brohl AS, Davis C, Lau CY, Pandya C, Shah H, Kasai Y, Powell J (2016) Development and clinical application of an integrative genomic approach to personalized cancer therapy. Genome Med 8:62. https://doi.org/10.1186/s13073-016-0313-0
Valdiani A, Kadir MA, Tan SG, Talei D, Abdullah MP, Nikzad S (2012) Nain-e Havandi (Andrographis paniculata) present yesterday, absent today: a plenary review on underutilized herb of Iran's pharmaceutical plants. Mol Biol Rep 39:5409–5424
Vlaanderen J, Moore LE, Smith MT, Lan Q, Zhang L, Skibola CF, Rothman N, Vermeulen R (2010) Application of omics technologies in occupational and environmental health research; current status and projections. Occup Environ Med 67:136–143
Wang Y, Yu RY, He QY (2015) Proteomic analysis of anticancer TCMs targeted at mitochondria. Evidence-Based Compl Altern Med 2015:539260
Wang N, Wang X, Tan HY, Li S, Tsang CM, Tsao SW, Feng Y (2016) Berberine suppresses cyclin D1 expression through proteasomal degradation in human hepatoma cells. Int J Mol Sci 17:1899. https://doi.org/10.3390/ijms17111899
Webb B, Sali A (2014) Protein structure modeling with MODELLER. Methods Mol Biol 1137:1–15. https://doi.org/10.1007/978-1-4939-0366-5_1
Webb B, Sali A (2016) Comparative protein structure modeling using MODELLER. Curr Protoc Protein Sci 86:2.9.1–2.9.37. https://doi.org/10.1002/cpps.20
Xia J, Wishart DS (2010) MetPA: a web-based metabolomics tool for pathway analysis and visualization. Bioinformatics 26:2342–2344
Xia J, Mandal R, Sinelnikov IV, Broadhurst D, Wishart DS (2012) Metabo analyst 2.0-a comprehensive server for metabolomic data analysis. Nucleic Acids Res 40:W127–W133
Xia J, Sinelnikov IV, Han B, Wishart DS (2015) MetaboAnalyst 3.0-making metabolomics more meaningful. Nucleic Acids Res 43:W251–W257
Xie C, Mao X, Huang J, Ding Y, Wu J, Dong S, Kong L, Gao G, Li CY, Wei L (2011) KOBAS 2.0: a web server for annotation and identification of enriched pathways and diseases. Nucleic Acids Res 39:W316–W322
Xie Y, Wu G, Tang J, Luo R, Patterson J, Liu S, Huang W, He G, Gu S, Li S, Zhou X, Lam TW, Li Y, Xu X, Wong GK, Wang J (2014) SOAP de novo-trans: de novo transcriptome assembly with short RNA-Seq reads. Bioinformatics 30:1660–1666
Yamazaki M, Mochida K, Asano T, Nakabayashi R, Chiba M, Udomson N, Yamazaki Y, Goodenowe DB, Sankawa U, Yoshida T, Toyoda A (2013) Coupling deep transcriptome analysis with untargeted metabolic profiling in Ophiorrhiza pumila to further the understanding of the biosynthesis of the anticancer alkaloid Camptothecin and anthraquinones. Plant Cell Physiol 54:686–696
Yonekura-Sakakibara K, Fukushima A, Saito K (2013) Transcriptome data modeling for targeted plant metabolic engineering. Curr Opin Biotechnol 24:285–290
Zerbino DR (2010) Using the velvet de novo assembler for short read sequencing technologies. Curr Protoc Bioinformatics, Wiley, New York 31:11.5.1–11.5.12. https://doi.org/10.1002/0471250953.bi1105s31
Zhang A, Sun H, Yuan Y, Sun W, Jiao G, Wang X (2011) An in vivo analysis of the therapeutic and synergistic properties of Chinese medicinal formula Yin-Chen-Hao-Tang based on its active constituents. Fitoterapia 82:1160–1168
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Mehta, A., Hasija, Y. (2018). Bioinformatics Approaches for Genomics and Post Genomics Applications of Anticancer Plants. In: Akhtar, M., Swamy, M. (eds) Anticancer Plants: Mechanisms and Molecular Interactions. Springer, Singapore. https://doi.org/10.1007/978-981-10-8417-1_12
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