title: A DNA 'barcode blitz': rapid digitization and sequencing of a natural history collection.
abstract: DNA barcoding protocols require the linkage of each sequence record to a voucher specimen that has, whenever possible, been authoritatively identified. Natural history collections would seem an ideal resource for barcode library construction, but they have never seen large-scale analysis because of concerns linked to DNA degradation. The present study examines the strength of this barrier, carrying out a comprehensive analysis of moth and butterfly (Lepidoptera) species in the Australian National Insect Collection. Protocols were developed that enabled tissue samples, specimen data, and images to be assembled rapidly. Using these methods, a five-person team processed 41,650 specimens representing 12,699 species in 14 weeks. Subsequent molecular analysis took about six months, reflecting the need for multiple rounds of PCR as sequence recovery was impacted by age, body size, and collection protocols. Despite these variables and the fact that specimens averaged 30.4 years old, barcode records were obtained from 86% of the species. In fact, one or more barcode compliant sequences (>487 bp) were recovered from virtually all species represented by five or more individuals, even when the youngest was 50 years old. By assembling specimen images, distributional data, and DNA barcode sequences on a web-accessible informatics platform, this study has greatly advanced accessibility to information on thousands of species. Moreover, much of the specimen data became publically accessible within days of its acquisition, while most sequence results saw release within three months. As such, this study reveals the speed with which DNA barcode workflows can mobilize biodiversity data, often providing the first web-accessible information for a species. These results further suggest that existing collections can enable the rapid development of a comprehensive DNA barcode library for the most diverse compartment of terrestrial biodiversity - insects.
authors.affiliation: Biodiversity Institute of Ontario, University of Guelph, Guelph, ON, Canada. phebert@uoguelph.ca
authors.forename: Paul D N
authors.initials: PD
authors.lastname: Hebert
authors.forename: Jeremy R
authors.initials: JR
authors.lastname: Dewaard
authors.forename: Evgeny V
authors.initials: EV
authors.lastname: Zakharov
authors.forename: Sean W J
authors.initials: SW
authors.lastname: Prosser
authors.forename: Jayme E
authors.initials: JE
authors.lastname: Sones
authors.forename: Jaclyn T A
authors.initials: JT
authors.lastname: McKeown
authors.forename: Beth
authors.initials: B
authors.lastname: Mantle
authors.forename: John
authors.initials: J
authors.lastname: La Salle
mesh_terms: D000818:Animals; D001315:Australia; D018070:Biological Specimen Banks; D058893:DNA Barcoding, Taxonomic / Q000379:methods*; D005240:Feasibility Studies; D016247:Information Storage and Retrieval / Q000379:methods; D007313:Insecta / Q000145:classification* / Q000235:genetics; D046609:Libraries, Digital; D019021:Natural History / Q000379:methods*; D011786:Quality Control; D017422:Sequence Analysis, DNA / Q000379:methods* / Q000592:standards; D013048:Specimen Handling / Q000379:methods; D013997:Time Factors