PacBio Hi-Fi genome assembly of Sipha maydis, a model for the study of multipartite mutualism in insects - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Accéder directement au contenu
Article Dans Une Revue Scientific Data Année : 2024

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

Résumé

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.
Fichier principal
Vignette du fichier
2024_Renoz_Scientific_Data.pdf (1.9 Mo) Télécharger le fichier
Origine Fichiers éditeurs autorisés sur une archive ouverte
Licence

Dates et versions

hal-04632873 , version 1 (04-07-2024)

Licence

Identifiants

Citer

François Renoz, Nicolas Parisot, Patrice Baa-Puyoulet, Léo Gerlin, Samir Fakhour, et al.. PacBio Hi-Fi genome assembly of Sipha maydis, a model for the study of multipartite mutualism in insects. Scientific Data , 2024, 11 (1), pp.450. ⟨10.1038/s41597-024-03297-x⟩. ⟨hal-04632873⟩
0 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Mastodon Facebook X LinkedIn More