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A Genome for Edith’s Checkerspot Butterfly: An Insect with Complex Host-Adaptive Suites and Rapid Evolutionary Responses to Environmental Changes

Insects have been key players in the assessments of biodiversity impacts of anthropogenically driven environmental change, including the evolutionary and ecological impacts of climate change. Populations of Edith’s Checkerspot Butterfly (Euphydryas editha) adapt rapidly to diverse environmental cond...

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Detalles Bibliográficos
Autores principales: Tunstrom, Kalle, Wheat, Christopher W, Parmesan, Camille, Singer, Michael C, Mikheyev, Alexander S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9348621/
https://www.ncbi.nlm.nih.gov/pubmed/35876165
http://dx.doi.org/10.1093/gbe/evac113
Descripción
Sumario:Insects have been key players in the assessments of biodiversity impacts of anthropogenically driven environmental change, including the evolutionary and ecological impacts of climate change. Populations of Edith’s Checkerspot Butterfly (Euphydryas editha) adapt rapidly to diverse environmental conditions, with numerous high-impact studies documenting these dynamics over several decades. However, studies of the underlying genetic bases of these responses have been hampered by missing genomic resources, limiting the ability to connect genomic responses to environmental change. Using a combination of Oxford Nanopore long reads, haplotype merging, HiC scaffolding followed by Illumina polishing, we generated a highly contiguous and complete assembly (contigs n = 142, N50 = 21.2 Mb, total length = 607.8 Mb; BUSCOs n = 5,286, single copy complete = 97.8%, duplicated = 0.9%, fragmented = 0.3%, missing = 1.0%). A total of 98% of the assembled genome was placed into 31 chromosomes, which displayed large-scale synteny with other well-characterized lepidopteran genomes. The E. editha genome, annotation, and functional descriptions now fill a missing gap for one of the leading field-based ecological model systems in North America.