aphantopus hyperantus
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2021 ◽  
Vol 6 ◽  
pp. 165
Author(s):  
Dan Mead ◽  
Ilik Saccheri ◽  
Carl J. Yung ◽  
Konrad Lohse ◽  
Carla Lohse ◽  
...  

We present a genome assembly based on an individual female Aphantopus hyperantus, also known as Maniola hyperantus (the ringlet butterfly; Arthropoda; Insecta; Lepidoptera, Nymphalidae), scaffolded using data from a second, unrelated specimen. The genome sequence is 411 megabases in span. The majority of the assembly is scaffolded into 29 chromosomal pseudomolecules, including the Z sex chromosome.


GigaScience ◽  
2021 ◽  
Vol 10 (6) ◽  
Author(s):  
Emily A Ellis ◽  
Caroline G Storer ◽  
Akito Y Kawahara

Abstract Background The availability of thousands of genomes has enabled new advancements in biology. However, many genomes have not been investigated for their quality. Here we examine quality trends in a taxonomically diverse and well-known group, butterflies (Papilionoidea), and provide draft, de novo assemblies for all available butterfly genomes. Owing to massive genome sequencing investment and taxonomic curation, this is an excellent group to explore genome quality. Findings We provide de novo assemblies for all 822 available butterfly genomes and interpret their quality in terms of completeness and continuity. We identify the 50 highest quality genomes across butterflies and conclude that the ringlet, Aphantopus hyperantus, has the highest quality genome. Our post-processing of draft genome assemblies identified 118 butterfly genomes that should not be reused owing to contamination or extremely low quality. However, many draft genomes are of high utility, especially because permissibility of low-quality genomes is dependent on the objective of the study. Our assemblies will serve as a key resource for papilionid genomics, especially for researchers without computational resources. Conclusions Quality metrics and assemblies are typically presented with annotated genome accessions but rarely with de novo genomes. We recommend that studies presenting genome sequences provide the assembly and some metrics of quality because quality will significantly affect downstream results. Transparency in quality metrics is needed to improve the field of genome science and encourage data reuse.


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