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Comprehensive stage- and tissue-specific transcriptome of the global ecosystem service insect, marmalade hoverfly Episyrphus balteatus
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  • Published: 02 April 2026

Comprehensive stage- and tissue-specific transcriptome of the global ecosystem service insect, marmalade hoverfly Episyrphus balteatus

  • He Yuan1,2 na1,
  • Huiru Jia3 na1,
  • Xianyong Zhou3 na1,
  • Hui Li4 &
  • …
  • Kongming Wu1 

Scientific Data , Article number:  (2026) Cite this article

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Abstract

Hoverflies (Diptera: Syrphidae) are globally beneficial insects that provide key ecological services, such as pollination and biological pest control. Importantly, extensive research has revealed that numerous species within this group engage in long-distance migrations, thereby enabling these services to operate across broad spatial scales. Hence, the conservation and sustainable use of this functionally important group is crucial for maintaining ecosystem balance and stability, especially in the face of ongoing losses of ecosystem functioning. However, limited genomic and transcriptomic resources hinder the advancement of research on this significant group. To address this gap, we generated a comprehensive developmental- and tissue-resolved transcriptome for Episyrphus balteatus, the dominant and most extensively researched migratory hoverfly species. We sequenced 30 RNA-seq libraries across three life stages (egg, larva, and pupa) and seven adult tissues (antenna, proboscis, head, thorax, body, leg, and wing), yielding 133.87 Gb of clean reads. The subsequent de novo assembly yielded 85,676 unigenes (N50 = 1,028 bp) exhibiting high completeness (97.9% BUSCO), and 45,479 unigenes (53.08%) were functionally annotated. Notably, differential expression analysis identified key gene sets and enriched pathways linked to development, sensory perception, and environmental responsiveness, which are molecular characteristics that may facilitate long-distance migration and ecosystem service delivery. Together, this dataset serves as a valuable community resource for ecological, evolutionary, and comparative research on hoverflies and other beneficial insects.

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Data availability

The raw data for the 30 samples of E. balteatus in this study are available at the SRA database, with accession number SRP640040 (https://identifiers.org/ncbi/insdc.sra:SRP640040)24. The assembled E. balteatus transcriptome assembly has been submitted to DDBJ/EMBL/GenBank under the accession GLKO00000000 (http://identifiers.org/ncbi/insdc:GLKO01000000)25. The read counts of unigenes, transcriptome assembly and annotation files have been submitted to the GEO database with accession number GSE324442 (https://identifiers.org/geo/GSE324442)26.

Code availability

No custom code was used in this study. Fastp (Version 0.19.5): https://github.com/OpenGene/fastp. Trinity (Version v2.8.5): https://github.com/trinityrnaseq/trinityrnaseq. Transrate (Version v1.0.3): http://hibberdlab.com/transrate/index.html. BUSCO (Version 3.0.2): https://busco.ezlab.org/. RSEM (Version 1.3.1): http://deweylab.biostat.wisc.edu/rsem/. DESeq2 (Version 1.24.0): http://bioconductor.org/packages/stats/bioc/DESeq2/.

References

  1. Bauer, S. & Hoye, B. J. Migratory animals couple biodiversity and ecosystem functioning worldwide. Science 344, 1242552 (2014).

    Google Scholar 

  2. Chapman, J. W., Reynolds, D. R. & Wilson, K. Long-range seasonal migration in insects: mechanisms, evolutionary drivers and ecological consequences. Ecol. Lett. 18, 287–302 (2015).

    Google Scholar 

  3. Satterfield, D. A., Sillett, T. S., Chapman, J. W., Altizer, S. & Marra, P. P. Seasonal insect migrations: massive, influential, and overlooked. Front. Ecol. Environ. 18, 335–344 (2020).

    Google Scholar 

  4. Zhou, Y. et al. Long-term insect censuses capture progressive loss of ecosystem functioning in East Asia. Sci. Adv. 9, eade9341 (2023).

    Google Scholar 

  5. Hu, G. et al. The east asian insect flyway: geographical and climatic factors driving migration among diverse crop pests. Annu. Rev. Entomol. 70, 1–22 (2025).

    Google Scholar 

  6. Potts, S. G. et al. Global pollinator declines: trends, impacts and drivers. Trends Ecol. Evol. 25, 345–353 (2010).

    Google Scholar 

  7. Seibold, S. et al. Arthropod decline in grasslands and forests is associated with landscape-level drivers. Nature 574, 671–674 (2019).

    Google Scholar 

  8. Artamendi, M., Martin, P. A., Bartomeus, I. & Magrach, A. Loss of pollinator diversity consistently reduces reproductive success for wild and cultivated plants. Nat. Ecol. Evol. 9, 296–313 (2025).

    Google Scholar 

  9. Wotton, K. R. et al. Mass seasonal migrations of hoverflies provide extensive pollination and crop protection services. Curr. Biol. 29, 2167–2173.e5 (2019).

    Google Scholar 

  10. Doyle, T. et al. Pollination by hoverflies in the Anthropocene. Proc. Biol. Sci. 287, 20200508 (2020).

    Google Scholar 

  11. Jia, H. et al. Windborne migration amplifies insect-mediated pollination services. eLife 11, e76230 (2022).

    Google Scholar 

  12. Lack, E. Migration of insects and birds through a Pyrenean pass. J. Anim. Ecol. 63–67 (1951).

  13. Menz, M. H. M., Brown, B. V. & Wotton, K. R. Quantification of migrant hoverfly movements (Diptera: Syrphidae) on the West Coast of North America. R. Soc. Open Sci. 6, 190153 (2019).

    Google Scholar 

  14. Finch, J. T. D. & Cook, J. M. Flies on vacation: evidence for the migration of Australian Syrphidae (Diptera). Ecol. Entomol. 45, 896–900 (2020).

    Google Scholar 

  15. Ouin, A. et al. Can deuterium stable isotope values be used to assign the geographic origin of an auxiliary hoverfly in south-western France? Rapid Commun. Mass Spectrom. 25, 2793–2798 (2011).

    Google Scholar 

  16. Raymond, L., Vialatte, A. & Plantegenest, M. Combination of morphometric and isotopic tools for studying spring migration dynamics in Episyrphus balteatus. Ecosphere 5, 1–16 (2014).

    Google Scholar 

  17. Gao, B. et al. Adaptive strategies of high-flying migratory hoverflies in response to wind currents. Proc. Biol. Sci. 287, 20200406 (2020).

    Google Scholar 

  18. Grabherr, M. G. et al. Full-length transcriptome assembly from RNA-Seq data without a reference genome. Nat. Biotechnol. 29, 644–652 (2011).

    Google Scholar 

  19. Smith-Unna, R., Boursnell, C., Patro, R., Hibberd, J. M. & Kelly, S. TransRate: reference-free quality assessment of de novo transcriptome assemblies. Genome Res. 26, 1134–1144 (2016).

    Google Scholar 

  20. Simão, F. A., Waterhouse, R. M., Ioannidis, P., Kriventseva, E. V. & Zdobnov, E. M. BUSCO: assessing genome assembly and annotation completeness with single-copy orthologs. Bioinformatics 31, 3210–3212 (2015).

    Google Scholar 

  21. Li, B. & Dewey, C. N. RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome. BMC Bioinformatics 12, 323 (2011).

    Google Scholar 

  22. Conesa, A. et al. A survey of best practices for RNA-seq data analysis. Genome Biol. 17, 13 (2016).

    Google Scholar 

  23. Love, M. I., Huber, W. & Anders, S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 15, 550 (2014).

    Google Scholar 

  24. NCBI Sequence Read Archive https://identifiers.org/ncbi/insdc.sra:SRP640040 (2025).

  25. Yuan, H. et al. Episyrphus balteatus, transcriptome shotgun assembly. Transcriptome Shotgun Assembly Sequence Database NCBI http://identifiers.org/ncbi/insdc:GLKO01000000 (2025).

  26. NCBI Gene Expression Omnibus https://identifiers.org/geo/GSE324442 (2026).

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Acknowledgements

This study was supported by Key R&D Program of Zhejiang (2024SSYS0105), the Postdoctoral Fellowship Program (Grade C) of China Postdoctoral Science Foundation (Grant No. GZC20241954) and Zhejiang Provincial Natural Science Foundation of China under Grant No. LQN25C140001.

Author information

Author notes
  1. These authors contributed equally: He Yuan, Huiru Jia, Xianyong Zhou.

Authors and Affiliations

  1. State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193, China

    He Yuan & Kongming Wu

  2. Plant Protection Institute, Hebei Academy of Agriculture and Forestry Sciences, IPM Innovation Center of Hebei Province, International Science and Technology Joint Research Center on IPM of Hebei Province, Baoding, 071000, China

    He Yuan

  3. Xianghu Lab, Hangzhou, 311258, China

    Huiru Jia & Xianyong Zhou

  4. Guangdong Provincial Key Laboratory of High Technology for Plant Protection/Plant Protection Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China

    Hui Li

Authors
  1. He Yuan
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  2. Huiru Jia
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Contributions

H.Y., H.R.J. and K.M.W conceived the research project. H.Y., H.R.J. and X.Y.Z. participated in the data analysis. H.R.J. and H.L. collected the samples. H.Y., H.R.J. and X.Y.Z. wrote the manuscript. H.Y., H.R.J., X.Y.Z. and K.M.W. revised the manuscript. All authors have read and approved the final manuscript for submission.

Corresponding author

Correspondence to Kongming Wu.

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The authors declare no competing interests.

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Cite this article

Yuan, H., Jia, H., Zhou, X. et al. Comprehensive stage- and tissue-specific transcriptome of the global ecosystem service insect, marmalade hoverfly Episyrphus balteatus. Sci Data (2026). https://doi.org/10.1038/s41597-026-07148-9

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  • Received: 01 December 2025

  • Accepted: 27 March 2026

  • Published: 02 April 2026

  • DOI: https://doi.org/10.1038/s41597-026-07148-9

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