Deciphering flavonoids and terpenoids biosynthesis through chromosomal-level genome, metabolome, and transcriptome integration in Spuriopimpinella brachycarpa

Qian Zhao , Fu Wang , Yiqiao Ma , Shuyao Li , Ruidong Sun , Peng Di , Lei Gong , Xiujuan Lei , Bao Liu , Aisheng Xiong , Jian Zhang

Horticulture Research ›› 2026, Vol. 13 ›› Issue (7) : 107

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Horticulture Research ›› 2026, Vol. 13 ›› Issue (7) :107 DOI: 10.1093/hr/uhag107
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Deciphering flavonoids and terpenoids biosynthesis through chromosomal-level genome, metabolome, and transcriptome integration in Spuriopimpinella brachycarpa
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Abstract

Spuriopimpinella brachycarpa (2 n = 2 x = 22), a perennial Apiaceae herb traditionally consumed in Northeast China, is rich in bioactive compounds such as flavonoids and terpenoids and possesses both medicinal and comestible value. However, the metabolic mechanisms underlying these traits remain unclear due to the lack of genomic resources. Here, we present the first chromosome-level genome assembly of S. brachycarpa (4.12 Gb; scaffold N50 = 358.95 Mb; 11 chromosomes). Comparative genomics analysis revealed two postdivergence whole-genome duplication (WGD) events in Apiaceae and a close phylogenetic relationship between S. brachycarpa and Daucus carota (carrot). Metabolomic profiling indicated that flavonoids, dominated by flavanols and flavones, are most actively synthesized in leaves, with their biosynthesis likely regulated by the MYB transcription factor SbraChr11G00348720.1. Terpenoids, primarily monoterpenes and sesquiterpenes, accumulated predominantly under cultivated conditions, demonstrating habitat-specific patterns. Transcriptomic analysis further identified two key terpene synthase genes- SbraChr6G00204720.1 (TPS-a subfamily) and SbraChr3G00078100.1 (TPS-b subfamily)-associated with sesquiterpene and monoterpene biosynthesis, respectively. By integrative genomic, transcriptomic, and metabolomic data, this study systematically elucidates the biosynthesis basis of major secondary metabolites in S. brachycarpa and provides a valuable genetic resource for comparative genomics and molecular breeding in Apiaceae crops.

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Qian Zhao, Fu Wang, Yiqiao Ma, Shuyao Li, Ruidong Sun, Peng Di, Lei Gong, Xiujuan Lei, Bao Liu, Aisheng Xiong, Jian Zhang. Deciphering flavonoids and terpenoids biosynthesis through chromosomal-level genome, metabolome, and transcriptome integration in Spuriopimpinella brachycarpa. Horticulture Research, 2026, 13 (7) : 107 DOI:10.1093/hr/uhag107

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References

[1]

Govaerts R, Lughadha EN, Black N, et al. The World Checklist of Vascular Plants, a continuously updated resource for exploring global plant diversity. Sci Data. 2021; 8: e215

[2]

Kwak HR, Byun HS, Lee KH, et al. First report of konjac mosaic virus in Spuriopimpinella brachycarpa in Korea. Plant Dis. 2023; 107: 2320-24

[3]

Han J, Xu WB, Yu HX, et al. Structural and evolutionary analyses of the mitochondrial genome of Spuriopimpinella brachycarpa. Front Plant Sci. 2024; 15: e1492723

[4]

Wu JJ, Cao Z, Hassan SSU, et al. Emerging biopharmaceuticals from Pimpinella genus. Molecules. 2023; 28: e1571

[5]

Lee SJ, Choi HN, Kang MJ, et al. Chamnamul [Pimpinella brachycarpa (Kom.) Nakai] ameliorates hyperglycemia and improves antioxidant status in mice fed a high-fat, high-sucrose diet. Nutr Res Pract. 2013; 7: 446-52

[6]

Choo MH, Lee JJ, Lee MY . Effect of Pimpinella Brachycarpa ethanol extract on chronically ethanol-induced liver damage in rats. J Life Sci. 2007; 17: 1406-13

[7]

Lee JJ, Hee CM, Lee MY . Effect of Pimpinella brachycarpa extract on lipid metabolism in rats fed high cholesterol diet. J Korean Soc Food Sci Nutr. 2006; 35: 1151-8

[8]

Lee SY, Moon E, Kim SY, et al. Quinic acid derivatives from Pimpinella brachycarpa exert anti-neuroinflammatory activity in lipopolysaccharide-induced microglia. Bioorg Med Chem Lett. 2013; 23: 2140-4

[9]

Kim NS, Jung DH, Jeon KS, et al. Content of phenolic compounds of different organ in Pimpinella brachycarpa collected from different locations in Korea. Online J Biol Sci. 2020; 20: 91-8

[10]

Ahn SM, Kim MS, Jung IC, et al. Antibacterial, antioxidative and anti-proliferative activity against human colorectal cell of Pimpinella brachycarpa. Korean J Food Preserv. 2011; 18: 590-6

[11]

Sathasivam R, Kim NS, Lim J, et al. Comprehensive analysis of primary and secondary metabolites and antioxidant activities provides insights into metabolic profiling of different organs of Pimpinella brachycarpa Nakai. Food Chem. 2025; 468: e142394

[12]

Cheng AX, Zhang XB, Han XJ, et al. Identification of chalcone isomerase in the basal land plants reveals an ancient evolution of enzymatic cyclization activity for synthesis of flavonoids. New Phytol. 2018; 217: 909-24

[13]

Gao Y, Honzatko RB, Peters RJ . Terpenoid synthase structures: a so far incomplete view of complex catalysis. Nat Prod Rep. 2012; 29: 1153-75

[14]

Zhang XY, Wang X, Zhang Y, et al. Development of isopentenyl phosphate kinases and their application in terpenoid biosynthesis. Biotechnol Adv. 2023; 64: e108124

[15]

Wang H, Liu JX, Feng K, et al. AgMYB12, a novel R2R3-MYB transcription factor, regulates apigenin biosynthesis by interacting with the AgFNS gene in celery. Plant Cell Rep. 2022; 41: 139-51

[16]

Bergman ME, Kortbeek RWJ, Gutensohn M, et al. Plant terpenoid biosynthetic network and its multiple layers of regulation. Prog Lipid Res. 2024; 95: e101287

[17]

Chen F, Tholl D, Bohlmann J, et al. The family of terpene synthases in plants: a mid-size family of genes for specialized metabolism that is highly diversified throughout the kingdom. Plant J. 2011; 66: 212-29

[18]

Jia QD, Brown R, Köllner TG, et al. Origin and early evolution of the plant terpene synthase family. Proc Natl Acad Sci USA. 2022; 119: e2100361119

[19]

Hansen NL, Heskes AM, Hamberger B, et al. The terpene synthase gene family in Tripterygium wilfordii harbors a labdane-type diterpene synthase among the monoterpene synthase TPS-b subfamily. Plant J. 2017; 89: 429-41

[20]

Xu Y, Zhang J, Tang Q, et al. Integrated metabolomic and transcriptomic analysis revealed the regulation of yields, cannabinoid, and terpene biosynthesis in Cannabis sativa L. under different photoperiods. S Afr J Bot. 2024; 174: 735-46

[21]

Zhou H, Ashworth K, Dodd IC . Exogenous monoterpenes mitigate H2O2-induced lipid damage but do not attenuate photosynthetic decline during water deficit in tomato . J Exp Bot. 2023; 74: 5327-40

[22]

Ikram M, Batool M, Ullah M, et al. Molecular alchemy: converting stress into resilience via secondary metabolites and calcium signaling in rice. Rice. 2025; 18: e32

[23]

Abdel-Latif A, Osman G . Comparison of three genomic DNA extraction methods to obtain high DNA quality from maize. Plant Methods. 2017; 13: e1

[24]

Huang J, Liang XM, Xuan YK, et al. A reference human genome dataset of the BGISEQ-500 sequencer. GigaScience. 2017; 6: 1-9

[25]

Wenger AM, Peluso P, Rowell WJ, et al. Accurate circular consensus long-read sequencing improves variant detection and assembly of a human genome. Nat Biotechnol. 2019; 37: 1155-62

[26]

Wang W, Niu L, Hou C . Interrogating global chromatin interaction network by high-throughput chromosome conformation capture (hi-C) in plants. Methods Mol Biol. 2022; 2484: 55-67

[27]

Zhang QF, Li M, Chen XY, et al. Chromosome-level genome assembly of Bupleurum chinense DC provides insights into the saikosaponin biosynthesis. Front Genet. 2022; 13: e878431

[28]

Chin CS, Alexander DH, Marks P, et al. Nonhybrid, finished microbial genome assemblies from long-read SMRT sequencing data. Nat Methods. 2013; 10: 563-9

[29]

Cheng HY, Concepcion GT, Feng XW, et al. Haplotype-resolved de novo assembly using phased assembly graphs with hifiasm. Nat Methods. 2021; 18: 170-5

[30]

Wingett S, Ewels P, Furlan-Magaril M, et al. HiCUP: pipeline for mapping and processing hi-C data. F1000Res. 2015; 4: e1310

[31]

Durand NC, Robinson JT, Shamim MS, et al. Juicebox provides a visualization system for hi-C contact maps with unlimited zoom. Cell Syst. 2016; 3: 99-101

[32]

Andrews S . FastQC: A Quality Control Tool for High Throughput Sequence Data. Cambridge, UK: Babraham Bioinformatics, Babraham Institute, 2010

[33]

Marcais G, Kingsford C . A fast, lock-free approach for efficient parallel counting of occurrences of k-mers. Bioinformatics. 2011; 27: 764-70

[34]

Li H, Durbin R . Fast and accurate short read alignment with burrows-wheeler transform. Bioinformatics. 2009; 25: 1754-60

[35]

Simao FA, Waterhouse RM, Ioannidis P, et al. BUSCO: assessing genome assembly and annotation completeness with single-copy orthologs. Bioinformatics. 2015; 31: 3210-2

[36]

Tempel S. Using and understanding RepeatMasker. Methods Mol Biol. 2012; 859: 29-51

[37]

Flynn JM, Hubley R, Goubert C, et al. RepeatModeler2 for automated genomic discovery of transposable element families. Proc Natl Acad Sci USA. 2020; 117: 9451-7

[38]

Kanehisa M, Goto S . KEGG: Kyoto encyclopedia of genes and genomes. Nucleic Acids Res. 2000; 28: 27-30

[39]

Deng YY, Li JQ, Wu SF, et al. Integrated nr database in protein annotation system and its localization. Comput Eng. 2006; 32: 71-4

[40]

Bateman A, Martin MJ, Orchard S, et al. UniProt: the universal protein knowledgebase in 2025. Nucleic Acids Res. 2024; 52: 609-17

[41]

Ashburner M, Ball CA, Blake JA, et al. Gene ontology: tool for the unification of biology. Nat Genet. 2000; 25: 25-9

[42]

Finn RD, Coggill P, Eberhardt RY, et al. The Pfam protein families database: towards a more sustainable future. Nucleic Acids Res. 2016; 44: D279-85

[43]

Apweiler R, Attwood TK, Bairoch A, et al. InterPro-an integrated documentation resource for protein families, domains and functional sites. Bioinformatics. 2000; 16: 1145-50

[44]

Chan PP, Lin BY, Mak AJ, et al. tRNAscan-SE 2.0: improved detection and functional classification of transfer RNA genes. Nucleic Acids Res. 2021; 49: 9077-96

[45]

Cole JR, Wang Q, Cardenas E, et al. The Ribosomal Database Project: improved alignments and new tools for rRNA analysis. Nucleic Acids Res. 2009; 37: D141-5

[46]

Kalvari I, Nawrocki EP, Ontiveros-Palacios N, et al. Rfam 14: expanded coverage of metagenomic, viral and microRNA families. Nucleic Acids Res. 2021; 49: D192-200

[47]

Nawrocki EP, Eddy SR . Infernal 1.1: 100-fold faster RNA homology searches. Bioinformatics. 2013; 29: 2933-5

[48]

Manni M, Berkeley MR, Seppey M, et al. BUSCO update: novel and streamlined workflows along with broader and deeper phylogenetic coverage for scoring of eukaryotic, prokaryotic, and viral genomes. Mol Biol Evol. 2021; 38: 4647-54

[49]

Emms DM, Kelly S . OrthoFinder: phylogenetic orthology inference for comparative genomics. Genome Biol. 2019; 20: e238

[50]

Camacho C, Coulouris G, Avagyan V, et al. BLAST+: architecture and applications. BMC Bioinformatics. 2009; 10: e421

[51]

Han MV, Thomas GWC, Lugo-Martinez J, et al. Estimating gene gain and loss rates in the presence of error in genome assembly and annotation using CAFE 3. Mol Biol Evol. 2013; 30: 1987-97

[52]

Xu SB, Hu ER, Cai YT, et al. Using clusterProfiler to characterize multiomics data. Nat Protoc. 2024; 19: 3292-320

[53]

Edgar RC . MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res. 2004; 32: 1792-7

[54]

Capella-Gutiérrez S, Silla-Martínez JM, Gabaldón T . trimAl: a tool for automated alignment trimming in large-scale phylogenetic analyses. Bioinformatics. 2009; 25: 1972-3

[55]

Stamatakis A . RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies. Bioinformatics. 2014; 30: 1312-3

[56]

Wang YP, Tang HB, DeBarry JD, et al. MCScanX: a toolkit for detection and evolutionary analysis of gene synteny and collinearity. Nucleic Acids Res. 2012; 40: e49

[57]

Zhang Z, Xiao JF, Wu JY, et al. ParaAT: a parallel tool for constructing multiple protein-coding DNA alignments. Biochem Biophys Res Commun. 2012; 419: 779-81

[58]

Yang ZH . PAML 4: phylogenetic analysis by maximum likelihood. Mol Biol Evol. 2007; 24: 1586-91

[59]

Brown J, Pirrung M, McCue LA . FQC dashboard: integrates FastQC results into a web-based, interactive, and extensible FASTQ quality control tool. Bioinformatics. 2017; 33: 3137-9

[60]

Dobin A, Davis CA, Schlesinger F, et al. STAR: ultrafast universal RNA-seq aligner. Bioinformatics. 2013; 29: 15-21

[61]

Li B, Dewey CN . RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome. BMC Bioinformatics. 2011; 12: e323

[62]

Love MI, Huber W, Anders S . Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014; 15: e550

[63]

Pertea M, Pertea GM, Antonescu CM, et al. StringTie enables improved reconstruction of a transcriptome from RNA-seq reads. Nat Biotechnol. 2015; 33: 290-5

[64]

Jin JP, Tian F, Yang DC, et al. PlantTFDB 4.0: toward a central hub for transcription factors and regulatory interactions in plants. Nucleic Acids Res. 2017; 45: D1040-5

[65]

Szklarczyk D, Nastou K, Koutrouli M, et al. The STRING database in 2025: protein networks with directionality of regulation. Nucleic Acids Res. 2024; 53: D730-7

[66]

Cline MS, Smoot M, Cerami E, et al. Integration of biological networks and gene expression data using Cytoscape. Nat Protoc. 2007; 2: 2366-82

[67]

Tamura K, Stecher G, Kumar S . MEGA11: molecular evolutionary genetics analysis version 11. Mol Biol Evol. 2021; 38: 3022-7

[68]

Chen C, Chen H, Zhang Y, et al. TBtools: an integrative toolkit developed for interactive analyses of big biological data. Mol Plant. 2020; 13: 1194-202

[69]

Pfafff MW . A new mathematical model for relative quantification in real-time RT-PCR. Nucleic Acids Res. 2001; 29: e45

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