High-quality genome and variation map reveal valuable loci and the genetic basis of trait divergence driven by geographic dispersal in Crotalaria pallida

Hubiao Yang , Xiaoxue Ye , Yiming Wang , Wei Yan , Changmian Ji , Yu Wang , Zehong Ding , Weiwei Tie , Fei Yan , Zhenfan Hao , Qian Liu , Zhengyang Zhong , Xuekui Dong , Ling Kang , Mufei Zhu , Hao Lv , Wei Hu , Guodao Liu , Zhibiao Nan

Horticulture Research ›› 2026, Vol. 13 ›› Issue (5) : 26

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Horticulture Research ›› 2026, Vol. 13 ›› Issue (5) :26 DOI: 10.1093/hr/uhag026
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High-quality genome and variation map reveal valuable loci and the genetic basis of trait divergence driven by geographic dispersal in Crotalaria pallida
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Abstract

Crotalaria is a genus of the Fabaceae family with agricultural and medicinal value, but to date the genome has not been fully sequenced. Although Crotalaria pallida is widely distributed in tropical and subtropical regions, the degree of genetic diversity and the specific traits influenced by geographic dispersal remain unknown. We here report a high-quality genome assembly of C. pallida with 98.52% coverage which is assembled into 8 chromosomes. C. pallida is closely related to Lupinus angustifolius , with genetic divergence occurring ∼42.5–57.4 million years ago (MYA). Re-sequencing of 236 C. pallida accessions revealed a genetic diversity decrease as C. pallida spread from Africa to America and Asia, and from Asia to China and finally to Hainan. Significant divergence was observed in seven traits between non-Hainan and Hainan accessions. Genome-wide association studies identified 73 loci for 18 agronomic traits, 25 of which overlapped with divergent sweeps between non-Hainan accessions and Hainan accessions. Furthermore, the dispersal of C. pallida in Hainan reduced genetic diversity, leading to a divergence in allelic frequencies at four candidate genes ( CpPTR , CpMYB , CpRLPK , and CpNADK ) associated with plant height. This study reveals the genetic basis of trait divergence driven by geographic dispersal and offers valuable resources for the strategic development of C. pallida breeding.

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Hubiao Yang, Xiaoxue Ye, Yiming Wang, Wei Yan, Changmian Ji, Yu Wang, Zehong Ding, Weiwei Tie, Fei Yan, Zhenfan Hao, Qian Liu, Zhengyang Zhong, Xuekui Dong, Ling Kang, Mufei Zhu, Hao Lv, Wei Hu, Guodao Liu, Zhibiao Nan. High-quality genome and variation map reveal valuable loci and the genetic basis of trait divergence driven by geographic dispersal in Crotalaria pallida. Horticulture Research, 2026, 13 (5) : 26 DOI:10.1093/hr/uhag026

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Acknowledgements

We thank Drs Y.P. Zhou and C.H. Hocart for proofreading the manuscript. This work was supported by Chinese Academy of Tropical Agricultural Sciences for Science and Technology Innovation Team of National Tropical Agricultural Science Center (no.CATASCXTD202503), the China Agriculture Research System of MOF and MARA (no. CARS-34) and the National Science and Technology Basic Resources Investigation (no. 2017FY100600).

Author contributions

Z.N. and G.L. conceived the project. H.Y. and W.H. organized and coordinated the project. W.H., X.Y., Y.W., C.J., Y.W., Z.D. W.T., X.D., L.K., M.Z., and H.L conducted bioinformatics analyses. H.Y., F.Y., W.Y., Z.H., Q.L., and Z.Z., performed the experiments and were involved in field management. H.Y. and W.H. drafted the manuscript. X.Y., Y.W., and G.L. revised the manuscript. All authors approved the final version of the manuscript before submission.

Data availability

All sequencing data of genome and transcriptome are available at the National Genomics Data Center (NGDC, https://ngdc.cncb.ac.cn) database under BioProject number PRJCA009683.

Conflicts of interest statement

The authors declare that they have no conflicts of interest associated with this work.

Supplementary material

Supplementary material is available at Horticulture Research online.

References

[1]

Le Roux MM , Boatwright J , Van Wyk BE . A global infrageneric classification system for the genus Crotalaria (Leguminosae) based on molecular and morphological evidence . Taxon. 2013; 62: 957-71.

[2]

Baruah P, Deka S, Baruah PP . Phytoremediation of crude oil-contaminated soil employing Crotalaria pallida Aiton . Environ Sci Pollut Res Int. 2016; 23: 10595-603.

[3]

Yaradua SS . A review of the genus Crotalaria L. (Crotalarieae, Fabaceae). Int J Sci Res . 2018; 8: 316-21.

[4]

Anwar S, Saleem H, Azmat T, et al. Crotalaria burhia Buch.-Ham.: a comprehensive review of its botany, traditional uses, phytochemistry, and pharmacology . Nat Prod Res. 2025; 39: 2277-92.

[5]

Zhou Z, Jiang Y, Wang Z, et al. Resequencing 302 wild and cultivated accessions identifies genes related to domestication and improvement in soybean. Nat Biotechnol. 2015; 33: 408-14.

[6]

Varshney RK, Saxena RK, Upadhyaya HD, et al. Whole-genome resequencing of 292 pigeonpea accessions identifies genomic regions associated with domestication and agronomic traits. Nat Genet. 2017; 49: 1082-8.

[7]

Varshney RK, Thudi M, Roorkiwal M, et al. Resequencing of 429 chickpea accessions from 45 countries provides insights into genome diversity, domestication and agronomic traits. Nat Genet. 2019; 51: 857-64.

[8]

Uratani AOPU, Daimon H, Ohe M, et al. Ecophysiological traits of field-grown Crotalaria incana and C. pallida as green manure . Plant Prod Sci. 2004; 7: 449-55.

[9]

Hu X, Chou G, Zhang C . Flavonoids, alkaloids from the seeds of Crotalaria pallida and their cytotoxicity and anti-inflammatory activities . Phytochemistry. 2017; 143: 64-71.

[10]

Cogni R, Futuyma DJ . Local adaptation in a plant herbivore interaction depends on the spatial scale. Biol J Linn Soc Lond. 2009; 97: 494-502.

[11]

Hane JK, Ming Y, Kamphuis LG, et al. A comprehensive draft genome sequence for lupin (Lupinus angustifolius), an emerging health food: insights into plant-microbe interactions and legume evolution . Plant Biotechnol J. 2017; 15: 318-30.

[12]

Kuljarusnont S, Iwakami S, Iwashina T, et al. Flavonoids and other phenolic compounds for physiological roles, plant species delimitation, and medical benefits: a promising view. Molecules (Basel). 2024; 29: 5351.

[13]

Naeem A, Ming Y, Pengyi H, et al. The fate of flavonoids after oral administration: a comprehensive overview of its bioavailability. Crit Rev Food Sci Nutr. 2022; 62: 6169-86.

[14]

Caporali S, De Stefano A, Calabrese C, et al. Anti-inflammatory and active biological properties of the plant-derived bioactive compounds luteolin and luteolin 7-glucoside. Nutrients. 2022; 14: 1155.

[15]

Tan C, Xiang Z, Wang S, et al. Diosmin alleviates colitis by inhibiting PANoptosis of intestinal epithelial cells and regulating gut microbiota and metabolites. Phytomedicine (Stuttgart) . 2025; 141: 156671.

[16]

Xiao J, Capanoglu E, Jassbi AR, et al. Advance on the flavonoid C-glycosides and health benefits. Crit Rev Food Sci Nutr. 2016; 56: S29-45.

[17]

Li J, Wei JJ, Wu CH, et al. Epimedin A inhibits the PI3K/AKT/NF-kappaB signalling axis and osteoclast differentiation by negatively regulating TRAF6 expression. Mol Med. 2024; 30: 125.

[18]

Kaneko M, Hwang EI, Ohnishi Y, et al. Heterologous production of flavanones in Escherichia coli: potential for combinatorial biosynthesis of flavonoids in bacteria . J Ind Microbiol Biotechnol. 2003; 30: 456-61.

[19]

Zhou X, Stephen M . Genome-wide efficient mixed-model analysis for association studies. Nat Genet. 2012; 44: 821-4.

[20]

Gao X, Wang N, Wang X, et al. Architecture of wheat inflorescence: insights from rice. Trends Plant Sci. 2019; 24: 802-9.

[21]

Reinhardt D , Kuhlemeier. Plant architecture. EMBO Rep. 2022; 3: 846-51.

[22]

Prakash S, Singh R, Lodhi N . Histone demethylases and control of gene expression in plants. Cell Mol Biol (Noisy-le-grand) . 2014; 60: 97-105.

[23]

Wang Q, Zhang W, Yin Z, et al. Rice CONSTITUTIVE TRIPLE-RESPONSE2 is involved in the ethylene-receptor signalling and regulation of various aspects of rice growth and development. J Exp Bot. 2013; 64: 4863-75.

[24]

Nelson DC, Scaffidi A, Dun EA, et al. F-box protein MAX2 has dual roles in karrikin and strigolactone signaling in Arabidopsis thaliana . Proc Natl Acad Sci USA. 2011; 108: 8897-902.

[25]

Soundappan I, Bennett T, Morffy N, et al. SMAX1-LIKE/D53 family members enable distinct MAX2-dependent responses to Strigolactones and Karrikins in Arabidopsis. Plant Cell. 2015; 27: 3143-59.

[26]

Patil SB, Barbier FF, Zhao J, et al. Sucrose promotes D53 accumulation and tillering in rice. New Phytol. 2022; 234: 122-36.

[27]

Schmitz G, Tillmann E, Carriero F, et al. The tomato blind gene encodes a MYB transcription factor that controls the formation of lateral meristems . Proc Natl Acad Sci USA. 2002; 99: 1064-9.

[28]

Guo X, Hou X, Fang J, et al. The rice GERMINATION DEFECTIVE 1, encoding a B3 domain transcriptional repressor, regulates seed germination and seedling development by integrating GA and carbohydrate metabolism . Plant J. 2013; 75: 403-16.

[29]

Lee J, Moon S, Jang S, et al. OsbHLH073 negatively regulates internode elongation and plant height by modulating GA homeostasis in rice . Plants (Basel). 2020; 9: 547.

[30]

Zuo Z, Lee H, Kang H . Basic helix-loop-helix transcription factors: regulators for plant growth development and abiotic stress responses. Int J Mol Sci . 2023; 24: 1419.

[31]

Fan X, Xie D, Chen J, et al. Over-expression of OsPTR6 in rice increased plant growth at different nitrogen supplies but decreased nitrogen use efficiency at high ammonium supply . Plant Sci. 2014; 227: 1-11.

[32]

Chiba Y, Shimizu T, Miyakawa S, et al. Identification of Arabidopsis thaliana NRT1/PTR FAMILY (NPF) proteins capable of transporting plant hormones . J Plant Res. 2015; 128: 679-86.

[33]

Zhang Y, Yu C, Lin J, et al. OsMPH1 regulates plant height and improves grain yield in rice . PLoS One. 2017; 12: e0180825.

[34]

Mizuno S, Osakabe Y, Maruyama K, et al. Receptor-like protein kinase 2 (RPK 2) is a novel factor controlling anther development in Arabidopsis thaliana . Plant J. 2007; 50: 751-66.

[35]

Ishikawa Y, Cassan C, Kadeer A, et al. The NAD kinase Slr0400 functions as a growth repressor in Synechocystis sp. PCC 6803 . Plant Cell Physiol. 2021; 62: 668-77.

[36]

Luo X, Shua Z, Zhao D, et al. Genome assembly of pomegranate highlights structural variations driving population differentiation and key loci underpinning cold adaption. Hortic Res. 2025; 12: 022.

[37]

Shen C, du H, Chen Z, et al. The chromosome-level genome sequence of the autotetraploid alfalfa and resequencing of core germplasms provide genomic resources for alfalfa research. Mol Plant. 2020; 13: 1250-61.

[38]

Chang D, Gao S, Zhou G, et al. The chromosome-level genome assembly of Astragalus sinicus and comparative genomic analyses provide new resources and insights for understanding legume-rhizobial interactions . Plant Commun. 2022; 3: 100263.

[39]

Wang Z, Miao H, Liu J, et al. Musa balbisiana genome reveals subgenome evolution and functional divergence . Nat Plants. 2019; 5: 810-21.

[40]

Zhang C, Wang S, Sun J, et al. Genome resequencing reveals the genetic basis of population evolution, local adaptation, and rewiring of the rhizome metabolome in Atractylodes lancea . Hortic Res. 2024; 11: uhae167.

[41]

Xu Z, Wang H . LTR_FINDER: an efficient tool for the prediction of full-length LTR retrotransposons. Nucleic Acids Res. 2007; 35: W265-8.

[42]

Benson G . Tandem repeats finder: a program to analyze DNA sequences. Nucleic Acids Res. 1999; 27: 573-80.

[43]

Birney E, Clamp M, Durbin R . GeneWise and Genomewise. Genome Res. 2004; 14: 988-95.

[44]

Stanke M, Keller O, Gunduz I, et al. AUGUSTUS: ab initio prediction of alternative transcripts. Nucleic Acids Res. 2006; 34: W435-9.

[45]

Majoros WH, Pertea M, Salzberg SL . TigrScan and GlimmerHMM: two open source ab initio eukaryotic gene-finders. Bioinformatics. 2004; 20: 2878-9.

[46]

Johnson AD, Handsaker RE, Pulit SL, et al. SNAP: a web-based tool for identification and annotation of proxy SNPs using HapMap. Bioinformatics . 2008; 24: 2938-9.

[47]

Trapnell C, Pachter L, Salzberg SL . TopHat: discovering splice junctions with RNA-Seq. Bioinformatics. 2009; 25: 1105-11.

[48]

Haas BJ, Salzberg SL, Zhu W, et al. Automated eukaryotic gene structure annotation using EVidenceModeler and the program to assemble spliced alignments. Genome Biol. 2008; 9: R7.

[49]

Lowe TM, Eddy SR . tRNAscan-SE: a program for improved detection of transfer RNA genes in genomic sequence. Nucleic Acids Res. 1997; 25: 955-64.

[50]

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

[51]

Li L, Stoeckert CJ, Roos DS . OrthoMCL: identification of ortholog groups for eukaryotic genomes. Genome Res. 2003; 13: 2178-89.

[52]

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

[53]

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

[54]

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

[55]

Anders S, Pyl PT, Huber W . HTSeq-a python framework to work with high-throughput sequencing data. Bioinformatics. 2015; 31: 166-9.

[56]

Li H . Aligning sequence reads, clone sequences and assembly contigs with BWA-MEM. Quant Biol. 2013; 1303.3997: 1-3.

[57]

Li H, Handsaker B, Wysoker A, et al. The sequence alignment/map format and SAMtools. Bioinformatics. 2009; 25: 2078-9.

[58]

Wang K, Li M, Hakonarson H . ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data. Nucleic Acids Res. 2010; 38: e164.

[59]

Alexander DH , Novembre J , Lange K . Fast model-based estimation of ancestry in unrelated individuals. Genome Res. 2009; 19: 1655-64.

[60]

Danecek P, Auton A, Abecasis G, et al. The variant call format and VCFtools. Bioinformatics. 2011; 27: 2156-8.

[61]

Purcell S, Neale B, Todd-Brown K, et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet. 2007; 81: 559-75.

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