Ran Li, Ze-Kai Wang, Dong-Kai Liu, Ying-Xue Zhang, Xiao-Yu Li, Hai-Xin Li
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引用次数: 0
Abstract
As a group of winged insects (Pterygota) retaining many primitive characteristics, genomic research on mayflies remains highly limited, posing challenges to the study of their origin and evolution. In this study, we present the first chromosome-level genome assembly of the Chinese endemic mayfly Parafronurus youi utilizing Illumina short-read, PacBio long-read, and Hi-C sequencing technologies. The high-quality genome is 412.90 Mb in size with 99.07% of the sequences anchored to 11 chromosomes (ranging from 24.88 to 45.89 Mb). Genome annotation predicted 15,647 protein-coding genes with an average length of 9,934.7 bp, of which 85.9% were functionally annotated in the UniProtKB database. Repetitive elements accounted for 32.83% of the genome, including 27.33% transposable elements and 4.07% simple repeats. This study not only enriches genomic resources for mayflies but also establishes a foundation for investigating molecular mechanisms underlying ecological adaptation and evolutionary traits, contributing to the conservation of freshwater ecosystems.
期刊介绍:
About the journal
Genome Biology and Evolution (GBE) publishes leading original research at the interface between evolutionary biology and genomics. Papers considered for publication report novel evolutionary findings that concern natural genome diversity, population genomics, the structure, function, organisation and expression of genomes, comparative genomics, proteomics, and environmental genomic interactions. Major evolutionary insights from the fields of computational biology, structural biology, developmental biology, and cell biology are also considered, as are theoretical advances in the field of genome evolution. GBE’s scope embraces genome-wide evolutionary investigations at all taxonomic levels and for all forms of life — within populations or across domains. Its aims are to further the understanding of genomes in their evolutionary context and further the understanding of evolution from a genome-wide perspective.