Twenty-nine newly sequenced genomes and a comprehensive genome dataset for the insect endosymbiont Buchnera.
Journal
Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192
Informations de publication
Date de publication:
22 Jun 2024
22 Jun 2024
Historique:
received:
17
12
2023
accepted:
17
06
2024
medline:
23
6
2024
pubmed:
23
6
2024
entrez:
22
6
2024
Statut:
epublish
Résumé
Most phloem-feeding insects face nutritional deficiency and rely on their intracellular symbionts to provide nutrients, and most of endosymbiont genomes have undergone reduction. However, the study of genome reduction processes of endosymbionts has been constrained by the limited availability of genome data from different insect lineages. The obligate relationship between aphids and Buchnera aphidicola (hereafter Buchnera) makes them a classic model for studying insect-endosymbiont interaction. Here, we report 29 newly sequenced Buchnera genomes from 11 aphid subfamilies, and a comprehensive dataset based on 90 Buchnera genomes from 14 aphid subfamilies. The dataset shows a significant genomic difference of Buchnera among different aphid lineages. The dataset exhibits a more balanced distribution of Buchnera (from 14 aphid subfamilies) genome sizes, ranging from 400 kb to 600 kb, which can illustrate the genome reduction process of Buchnera. The new genome data provide valuable insights into the microevolutionary processes leading to genomic reduction of insect endosymbionts.
Identifiants
pubmed: 38909040
doi: 10.1038/s41597-024-03537-0
pii: 10.1038/s41597-024-03537-0
doi:
Types de publication
Dataset
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
673Subventions
Organisme : National Natural Science Foundation of China (National Science Foundation of China)
ID : 31970446
Organisme : National Natural Science Foundation of China (National Science Foundation of China)
ID : 31970446
Organisme : National Natural Science Foundation of China (National Science Foundation of China)
ID : 31970446
Organisme : National Natural Science Foundation of China (National Science Foundation of China)
ID : 31970446
Informations de copyright
© 2024. The Author(s).
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