PacBio Hi-Fi genome assembly of Sipha maydis, a model for the study of multipartite mutualism in insects

Renoz, François;Parisot, Nicolas;Baa-Puyoulet, Patrice;Gerlin, Léo;Calevro, Federica;et.al.
(2024) Scientific Data — Vol. 11, n° 1, p. 450 (2024)

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  • Parisot, Nicolasorcid-logoUniv Lyon, INSA Lyon, INRAE, BF2I, UMR203, Villeurbanne, F-69621 France
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  • Baa-Puyoulet, PatriceUniv Lyon, INRAE, INSA Lyon, BF2I, UMR203, Villeurbanne, F-69621 France
    Author
  • Gerlin, LéoUniv Lyon, INRAE, INSA Lyon, BF2I, UMR203, Villeurbanne, F-69621 France
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  • Calevro, FedericaUniv Lyon, INRAE, INSA Lyon, BF2I, UMR203, Villeurbanne, F-69621 France
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Abstract
Dependence on multiple nutritional endosymbionts has evolved repeatedly in insects feeding on unbalanced diets. However, reference genomes for species hosting multi-symbiotic nutritional systems are lacking, even though they are essential for deciphering the processes governing cooperative life between insects and anatomically integrated symbionts. The cereal aphid Sipha maydis is a promising model for addressing these issues, as it has evolved a nutritional dependence on two bacterial endosymbionts that complement each other. In this study, we used PacBio High fidelity (HiFi) long-read sequencing to generate a highly contiguous genome assembly of S. maydis with a length of 410 Mb, 3,570 contigs with a contig N50 length of 187 kb, and BUSCO completeness of 95.5%. We identified 117 Mb of repetitive sequences, accounting for 29% of the genome assembly, and predicted 24,453 protein-coding genes, of which 2,541 were predicted enzymes included in an integrated metabolic network with the two aphid-associated endosymbionts. These resources provide valuable genetic and metabolic information for understanding the evolution and functioning of multi-symbiotic systems in insects.
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Renoz, F., Parisot, N., Baa-Puyoulet, P., Gerlin, L., Fakhour, S., Charles, H., Hance, T., & Calevro, F. (2024). PacBio Hi-Fi genome assembly of Sipha maydis, a model for the study of multipartite mutualism in insects. Scientific Data, 11(1), 450. https://doi.org/10.1038/s41597-024-03297-x (Original work published 2024)