a dna barcode reference library and ecoregion analysis of ... · spiders (araneae: lycosidae), the...

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A DNA barcode reference library and ecoregion analysis of North American wolf spiders (Araneae: Lycosidae) Gergin A. Blagoev, Jeremy R. deWaard, and Paul D.N. Hebert Centre for Biodiversity Genomics, University of Guelph Poster ID: 800 Abstract Species diversity on our planet follows complex patterns governed by historical, physical and biological parameters, resulting in the classification of well-defined ecoregions usually dominated by specific plant communities. As spiders are predators, they are not directly dependent on plants for nutrition but may have similar distributional patterns. Until now, comprehensive analysis of these patterns has been prohibited by arduous specimen identification and a high incidence of cryptic species. However, DNA barcoding can circumnavigate many of these barriers by delineating species and accelerating specimen identification. We utilize this method to build a DNA barcode reference library for Nearctic wolf spiders (Araneae: Lycosidae), the fifth largest spider family in North America, and investigate distribution patterns across the Nearctic ecoregions. Acknowledgements Financial support was provided by the Ontario Ministry of Research and Innovation and by the government of Canada through Genome Canada and the Ontario Genomics Institute in support of the International Barcode of Life project. We are extremely grateful to colleagues who provided specimens for analysis (Charles Dondale, Chris Buddle, Claudia Copley, Darren Copley, Pat Miller, Robb Bennett, Tom Mason). We are very grateful to John Waithaka and other staff at Parks Canada for supporting collection programs in national parks across Canada. References Blagoev, G.A., deWaard, J.R., Ratnasingham, S., deWaard, S.L., Lu, L., Robertson, J., Telfer, A.C. & Hebert, P.D.N., 2016. Untangling taxonomy: a DNA barcode reference library for Canadian spiders. Molecular Ecology Resources, 16, 325–341. https ://doi.org/10.1111/1755- 0998 .12444 Commission for Environmental Cooperation, 1997. Ecological Regions of North America: Toward a Common Perspective. Montreal, Quebec. 71 pp. Foelix, R., 2011. Biology of Spiders (Third Edition). Oxford University Press. 432 pp. ISBN: 9780199734825 World Spider Catalog, 2017. World Spider Catalog. Natural History Museum Bern, online at http://wsc.nmbe.ch, version 18.5, accessed on {date of access}. doi: 10.24436/2. With 2486 species from 124 genera, the family Lycosidae is ranked fifth in size among spiders (World Spider Catalog, 2017). Wolf spiders are abundant in almost all terrestrial ecosystems (Foelix, 2011), and live mainly on the ground surface. This study develops a reference barcode library for wolf spiders across Canada and the continental United States, which comprises 14% of the Earth's surface (Fig. 1) and 14 different ecozones (Commission for Environmental Cooperation, 1997). Introduction Fig. 1. Locality map of all sequenced wolf spiders in the corresponding North American ecozones. More than 95% of the spider specimens used in this study were collected by members of CBG through various projects in the territories of Canada and the United States. However, collections at the Royal BC Museum (Victoria) and the Lyman Entomological Museum (Montreal) provided a small proportion of specimens. All specimens were identified or verified by the first author through the genitalic examination of all adults when they were available. COI sequence analyses were performed at the Canadian Centre for DNA Barcoding (CCDB; www .ccdb.ca) employing standard protocols outlined in Blagoev et al. (2016). Methods We present a comprehensive DNA barcode reference library for over two-thirds of the Nearctic wolf spider fauna. The results confirm that DNA barcodes are an effective tool for the identification of Nearctic wolf spiders. With the exception of several cases of potentially cryptic species, BINs and species correspond well, suggesting that rapid and accurate estimates of spider diversity are possible with this approach. It has also permitted the first attempt to resolve the distributional pattern for this large family of spiders in North America. However, if most BIN splits reflect cryptic taxa (Fig. 2B), the true species count for North American wolf spiders could be 40–50% higher than currently recognized. Conclusion In total, 7394 DNA barcode sequences were generated from 170 morphologically-identified species (70% of the Nearctic Lycosidae), representing 241 Barcode Index Numbers (BINs) (Table 1). Adult specimens were not available for 19 BINs, thus interim names were assigned. There was a perfect correspondence between BIN membership and a known species in 109 cases, while 32 species shared BINs, distinguishable by very shallow sequence divergence (<2%). Another 43 species showed deep (>2%) intraspecific divergence (i.e. BIN splits). The sequence diversity in wolf spider genera shows a clear barcode gap in most cases with a mean intraspecific divergence of 3.4% vs. a minimum nearest- neighbour (NN) distance averaging 17.3% (Table 1). Results and Discussion Fig. 2. A. Histogram of BIN distribution by number of ecoregions covered; B. Accumulation curves of all valid species names with BINs. B. A. Although all BIN splits and interim species need further study to clarify the taxonomic status of the entities involved, DNA barcodes discriminated 85% of all species. 70 of the 75 Nearctic World Wildlife Fund ecoregions were represented by 1-42 BINs (and eleven represented by >20 BINs), which will permit a thorough exploration of distributional patterns (Fig. 2A). Table 1. Statistical analysis of North American wolf spiders genera with intraspecific divergence and BIN information, discriminated by NJ analysis. Genus n Taxa BINs BIN sharing BIN splits Min Dist (%) Mean Dist (%) Max Dist (%) Acantholycosa 2 1 1 - - 0 0 0 Allocosa 18 10 11 - 1 5.8 8.4 10.9 Alopecosa 615 8 11 2 1 0.7 6.8 10.1 Arctosa 292 10 17 4 5 0 13.6 50 Camptocosa 30 2 2 - - 9 9.7 10.3 Geolycosa 227 9 16 - 3 4.1 10.8 17.3 Gladicosa 62 3 3 - - 4.3 5.9 7.6 Hogna 304 15 29 - 7 2.7 11.2 17.1 Melocosa 23 1 2 - 1 0 0 0 Pardosa 3800 52 67 22 16 0 5.8 9.9 Pirata 400 15 15 2 - 3 10.4 13.5 Piratula 452 4 6 2 1 0.3 7.3 10.9 Rabidosa 126 4 6 - 1 5.5 8 9.8 Schizocosa 333 17 29 - 4 3.3 6.7 11.3 Sosippus 11 5 5 - - 5.7 9.6 12.7 Tigrosa 153 5 10 - 1 5.1 9.8 12.9 Trabeops 23 1 1 - - 0 0 0 Trebacosa 7 1 1 - - 0 0 0 Trochosa 373 4 6 - 2 0.2 6.6 12.8 Varacosa 143 3 3 - - 1.9 3.4 4.5 Total 7394 170 241 32 43 0 20 40 60 80 100 120 1 2 3 4 5 6 7 8 9 10+ No. BINs No. Ecoregions Recorded BIN Ecoregion Coverage

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Page 1: A DNA barcode reference library and ecoregion analysis of ... · spiders (Araneae: Lycosidae), the fifth largest spider family in North America, and investigate distribution patterns

A DNA barcode reference library and ecoregion analysis of North American wolf spiders (Araneae: Lycosidae)

Gergin A. Blagoev, Jeremy R. deWaard, and Paul D.N. HebertCentre for Biodiversity Genomics, University of Guelph

Poster ID: 800

AbstractSpecies diversity on our planet follows complex patterns governed by historical, physical and biological parameters, resulting in the classificationof well-defined ecoregions usually dominated by specific plant communities. As spiders are predators, they are not directly dependent on plantsfor nutrition but may have similar distributional patterns. Until now, comprehensive analysis of these patterns has been prohibited by arduousspecimen identification and a high incidence of cryptic species. However, DNA barcoding can circumnavigate many of these barriers bydelineating species and accelerating specimen identification. We utilize this method to build a DNA barcode reference library for Nearctic wolfspiders (Araneae: Lycosidae), the fifth largest spider family in North America, and investigate distribution patterns across the Nearctic ecoregions.

AcknowledgementsFinancial support was provided by the Ontario Ministry of Research and Innovation and by thegovernment of Canada through Genome Canada and the Ontario Genomics Institute in supportof the International Barcode of Life project. We are extremely grateful to colleagues whoprovided specimens for analysis (Charles Dondale, Chris Buddle, Claudia Copley, Darren Copley,Pat Miller, Robb Bennett, Tom Mason). We are very grateful to John Waithaka and other staff atParks Canada for supporting collection programs in national parks across Canada.

ReferencesBlagoev, G.A., deWaard, J.R., Ratnasingham, S., deWaard, S.L., Lu, L., Robertson, J., Telfer,

A.C. & Hebert, P.D.N., 2016. Untangling taxonomy: a DNA barcode reference library forCanadian spiders. Molecular Ecology Resources, 16, 325–341. https://doi.org/10.1111/1755-0998.12444

Commission for Environmental Cooperation, 1997. Ecological Regions of North America:Toward a Common Perspective. Montreal, Quebec. 71 pp.

Foelix, R., 2011. Biology of Spiders (Third Edition). Oxford University Press. 432 pp. ISBN:9780199734825

World Spider Catalog, 2017. World Spider Catalog. Natural History Museum Bern, online athttp://wsc.nmbe.ch, version 18.5, accessed on {date of access}. doi: 10.24436/2.

With 2486 species from 124 genera, the family Lycosidae isranked fifth in size among spiders (World Spider Catalog, 2017).Wolf spiders are abundant in almost all terrestrial ecosystems(Foelix, 2011), and live mainly on the ground surface. This studydevelops a reference barcode library for wolf spiders acrossCanada and the continental United States, which comprises14% of the Earth's surface (Fig. 1) and 14 different ecozones(Commission for Environmental Cooperation, 1997).

Introduction

Fig. 1. Locality map of all sequenced wolf spiders in the correspondingNorth American ecozones.

More than 95% of the spider specimens used in this study werecollected by members of CBG through various projects in theterritories of Canada and the United States. However, collectionsat the Royal BC Museum (Victoria) and the Lyman EntomologicalMuseum (Montreal) provided a small proportion of specimens.All specimens were identified or verified by the first authorthrough the genitalic examination of all adults when they wereavailable. COI sequence analyses were performed at theCanadian Centre for DNA Barcoding (CCDB; www.ccdb.ca)employing standard protocols outlined in Blagoev et al. (2016).

Methods

We present a comprehensive DNA barcode reference library forover two-thirds of the Nearctic wolf spider fauna. The resultsconfirm that DNA barcodes are an effective tool for theidentification of Nearctic wolf spiders. With the exception of severalcases of potentially cryptic species, BINs and species correspondwell, suggesting that rapid and accurate estimates of spider diversityare possible with this approach. It has also permitted the firstattempt to resolve the distributional pattern for this large family ofspiders in North America. However, if most BIN splits reflect cryptictaxa (Fig. 2B), the true species count for North American wolfspiders could be 40–50% higher than currently recognized.

Conclusion

In total, 7394 DNA barcode sequences were generated from170 morphologically-identified species (70% of the NearcticLycosidae), representing 241 Barcode Index Numbers (BINs)(Table 1). Adult specimens were not available for 19 BINs, thusinterim names were assigned.

There was a perfect correspondence between BIN membershipand a known species in 109 cases, while 32 species sharedBINs, distinguishable by very shallow sequence divergence(<2%). Another 43 species showed deep (>2%) intraspecificdivergence (i.e. BIN splits). The sequence diversity in wolfspider genera shows a clear barcode gap in most cases with amean intraspecific divergence of 3.4% vs. a minimum nearest-neighbour (NN) distance averaging 17.3% (Table 1).

Results and Discussion

Fig. 2. A. Histogram of BIN distribution by number of ecoregions covered;B. Accumulation curves of all valid species names with BINs.

B.A.

Although all BIN splits and interim species need furtherstudy to clarify the taxonomic status of the entitiesinvolved, DNA barcodes discriminated 85% of all species.70 of the 75 Nearctic World Wildlife Fund ecoregions wererepresented by 1-42 BINs (and eleven represented by >20BINs), which will permit a thorough exploration of distributionalpatterns (Fig. 2A).

Table 1. Statistical analysis of North American wolf spiders generawith intraspecific divergence and BIN information, discriminated byNJ analysis.

Genus n Taxa BINsBIN

sharingBIN

splitsMin

Dist(%)Mean

Dist(%)Max

Dist(%)Acantholycosa 2 1 1 - - 0 0 0Allocosa 18 10 11 - 1 5.8 8.4 10.9Alopecosa 615 8 11 2 1 0.7 6.8 10.1Arctosa 292 10 17 4 5 0 13.6 50Camptocosa 30 2 2 - - 9 9.7 10.3Geolycosa 227 9 16 - 3 4.1 10.8 17.3Gladicosa 62 3 3 - - 4.3 5.9 7.6Hogna 304 15 29 - 7 2.7 11.2 17.1Melocosa 23 1 2 - 1 0 0 0Pardosa 3800 52 67 22 16 0 5.8 9.9Pirata 400 15 15 2 - 3 10.4 13.5Piratula 452 4 6 2 1 0.3 7.3 10.9Rabidosa 126 4 6 - 1 5.5 8 9.8Schizocosa 333 17 29 - 4 3.3 6.7 11.3Sosippus 11 5 5 - - 5.7 9.6 12.7Tigrosa 153 5 10 - 1 5.1 9.8 12.9Trabeops 23 1 1 - - 0 0 0Trebacosa 7 1 1 - - 0 0 0Trochosa 373 4 6 - 2 0.2 6.6 12.8Varacosa 143 3 3 - - 1.9 3.4 4.5

Total 7394 170 241 32 43

0

20

40

60

80

100

120

1 2 3 4 5 6 7 8 9 10+

No

. BIN

s

No. Ecoregions Recorded

BIN Ecoregion Coverage