Joseph N Curti, Devaughn Fraser, Merly Escalona, Colin W Fairbairn, Samuel Sacco, Ruta Sahasrabudhe, Oanh Nguyen, William Seligmann, Peter H Sudmant, Erin Toffelmier, Juan Manuel Vazquez, Robert Wayne, H Bradley Shaffer, Michael R Buchalski
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引用次数: 0
Abstract
The Yuma myotis bat (Myotis yumanensis) is a small vespertilionid bat and one of 52 species of new world Myotis bats in the subgenus Pizonyx. While M. yumanensis populations currently appear relatively stable, it is one of 12 bat species known or suspected to be susceptible to white-nose syndrome, the fungal disease causing declines in bat populations across North America. Only two of these 12 species have genome resources available, which limits the ability of resource managers to use genomic techniques to track the responses of bat populations to white-nose syndrome generally. Here we present the first de novo genome assembly for Yuma myotis, generated as a part of the California Conservation Genomics Project. The M. yumanensis genome was generated using a combination of PacBio HiFi long reads and Omni-C chromatin-proximity sequencing technology. This high-quality genome is one of the most complete bat assemblies available, with a contig N50 of 28.03 Mb, scaffold N50 of 99.14 Mb, and BUSCO completeness score of 93.7%. The Yuma myotis genome provides a high-quality resource that will aid in comparative genomic and evolutionary studies, as well as inform conservation management related to white-nose syndrome.
期刊介绍:
Over the last 100 years, the Journal of Heredity has established and maintained a tradition of scholarly excellence in the publication of genetics research. Virtually every major figure in the field has contributed to the journal.
Established in 1903, Journal of Heredity covers organismal genetics across a wide range of disciplines and taxa. Articles include such rapidly advancing fields as conservation genetics of endangered species, population structure and phylogeography, molecular evolution and speciation, molecular genetics of disease resistance in plants and animals, genetic biodiversity and relevant computer programs.