Literature DB >> 24453549

DNA barcoding of Dutch birds.

Mansour Aliabadian1, Kevin K Beentjes2, C S Kees Roselaar2, Hans van Brandwijk2, Vincent Nijman3, Ronald Vonk4.   

Abstract

The mitochondrial cytochrome c oxidase subunit I (COI) can serve as a fast and accurate marker for the identification of animal species, and has been applied in a number of studies on birds. We here sequenced the COI gene for 387 individuals of 147 species of birds from the Netherlands, with 83 species being represented by > 2 sequences. The Netherlands occupies a small geographic area and 95% of all samples were collected within a 50 km radius from one another. The intraspecific divergences averaged 0.29% among this assemblage, but most values were lower; the interspecific divergences averaged 9.54%. In all, 95% of species were represented by a unique barcode, with 6 species of gulls and skua (Larus and Stercorarius) having at least one shared barcode. This is best explained by these species representing recent radiations with ongoing hybridization. In contrast, one species, the Lesser Whitethroat Sylvia curruca showed deep divergences, averaging 5.76% and up to 8.68% between individuals. These possibly represent two distinct taxa, S. curruca and S. blythi, both clearly separated in a haplotype network analysis. Our study adds to a growing body of DNA barcodes that have become available for birds, and shows that a DNA barcoding approach enables to identify known Dutch bird species with a very high resolution. In addition some species were flagged up for further detailed taxonomic investigation, illustrating that even in ornithologically well-known areas such as the Netherlands, more is to be learned about the birds that are present.

Entities:  

Keywords:  Aves; COI; conservation; cytochrome c oxidase subunit I; taxonomy

Year:  2013        PMID: 24453549      PMCID: PMC3890669          DOI: 10.3897/zookeys.365.6287

Source DB:  PubMed          Journal:  Zookeys        ISSN: 1313-2970            Impact factor:   1.546


Introduction

DNA barcoding is used as an effective tool for both the identification of known species and the discovery of new ones (Hebert et al. 2003, 2010, Savolainen et al. 2005). The core idea of DNA barcoding is based on the fact that just a small portion of a single gene, comprising a 650 to 700 bp fragment from the first half of the mitochondrial cytochrome c oxidase subunit I gene (COI), shows a lower intraspecific than interspecific variation. An attribute which characterizes a threshold of variation for each taxonomic group, above which a group of individuals does not belong to the same species but instead forms an intraspecific taxon. In other words, the recognition of patterns in sequence diversity of a small fragment from the mtDNA genome has led to an alternative approach for species identification across phyla. Initially, DNA barcodes were proposed for the Animal Kingdom in 2003, when Hebert and colleagues tested a single gene barcode to identify species and coined the term ‘DNA barcoding’ (Hebert et al. 2003). Since that time COI sequences have been used as identifiers in the majority of animal phyla including vertebrates (e.g. Hebert et al. 2004, Ward et al. 2005, Kerr et al. 2007, Smith et al. 2008, Nijman and Aliabadian 2010, Luo et al. 2011) and invertebrates (Hajibabaei et al. 2006, Bucklin et al. 2011, Hausmann et al. 2011). In recent years, the practical utility of DNA barcodes proved to be an appealing tool to help resolve taxonomic ambiguity (Hebert et al. 2004, 2010), to screen biodiversity (e.g. Plaisance et al. 2009, Naro-Maciel et al. 2009, Grant et al. 2011), and to support applications in conservation biology (Neigel et al. 2007, Rubinoff 2006, Dalton and Kotze 2011). Birds are among the best-known classes of animals and thus provide a taxonomically good model for analyzing the applicability of DNA barcoding. In the last seven years some 30 scientific papers have been published on the DNA barcoding of bird species, which combined have been cited 500 times (V. Nijman, unpubl. data April 2013). Most of the studies have shown that from this small fragment of DNA, individuals have been identified down to species level for 94% of the species in Scandinavian birds (Johnsen et al. 2010), 96% in Nearctic birds (Kerr et al. 2009a), 98% in Holarctic birds (Aliabadian et al. 2009) and 99% in Argentinean and South Korean birds (Kerr et al. 2009a, Yoo et al. 2006). Species delineation relying on the use of theshold set to differentiate between intraspecific variation and interspecific divergence has been criticized as leading to too unacceptable high error rates especially in incompletely samples groups (Meyer and Paulay 2005). However, even the critics of DNA barcoding concede that DNA barcoding holds promise for identification in taxonomically well-understood and thoroughly sampled clades. Birds are taxonomically well-known, especially those of the Western Palearctic to which the Netherlands, our study area, forms part. As noted by Taylor and Harris (2012), compared to other taxa that have been subjected to DNA barcoding, DNA barcoding studies of birds tend to represent aggregations of very large number of bird species barcodes. These often include (near) cosmopolitan species with samples from distant geographic locations potentially increasing the amount of interspecific variation in COI. Here we explore the efficiency of identifying species using DNA barcoding from a large set of sympatric bird species in the Netherlands. Compared to previous studies on birds, our study area covers a very small geographic area, allowing to directly test the functionality of DNA barcoding ‘in one’s backyard’.

Methods

Sampling

The Netherlands is a small, densely populated country in northwestern Europe, with a land surface area of some 34 000 km2, and ornithologically it is arguable one of the best-covered countries (Sovon 2002). The tissue samples used for sequencing were collected from breeding areas in the Netherlands, excluding oversees dependencies. Given the small size of the country some 95% of the samples were collected within a 50 km-radius of each other. Samples were part of the tissue collection of the Zoological Museum of Amsterdam (ZMA), which were recently relocated and deposited in the Naturalis Biodiversity Center, Leiden. Most were collected in the period 2000–2012 by a network of volunteers, ringers, airport staff, and bird asylums; no birds were specifically collected or killed to be included in the collection of the ZMA. Species and subspecies identification was based on morphology and when necessary, external measurements. These identifications were done by authors HvB and CSR, with the help of Tineke G. Prins. Individual birds were frozen upon arrival to be thawed and skinned at a later date, and indeed many birds arrived frozen. Samples were mostly taken from the bird’s pectorial muscles, because of its size and easy access, and stored in 96% ethanol. Species nomenclature follows the taxonomy of Dickinson (2003). The complete list of sampled specimens including information about vouchers and trace files is available from the project ‘Aves of the Netherlands’ at the BOLD website (http://www.barcodinglife.com/).

PCR and sequencing

The tissue samples were subsampled and subjected to DNA extraction using DNeasy Blood & Tissue Kit (Qiagen) following the manufacturer’s protocol. PCR and sequencing reactions were performed, mainly following the same protocols described in Förschler et al. (2010), but with some minor modifications. Polymerase chain reaction (PCR) amplifications were initially performed using standard primers BirdF1 (TTCTCCAACCACAAAGACATTGGCAC) and BirdR1 (ACGTGGGAGATAATTCCAAATCCTG). When amplification was unsuccessful, alternate reverse primer BirdR2 (ACTACATGTGAGATGATTCCGAATCCAG) was used in combination with BirdF1 or alternate primer pair CO1-ExtF (ACGCTTTAACACTCAGCCATCTTACC) and CO1-ExtR (AACCAGCATATGAGGGTTCGATTCCT) was used (Hebert et al. 2004, PageBreakJohnsen et al. 2010). All PCRs were run under the following thermal cycle program: 3 min at 94 °C followed by 40 cycles of 15 s at 94 °C, 30 s at 50 °C and 40 s at 72 °C, and a final elongation of 5 min at 72 °C. For each reaction the PCR mixture consisted of 2.5 µl Qiagen Coral Load 10 × PCR buffer, 1.0 µl of each 10 mM primer, 0.5 µl 2.5 mM dNTPs, 0.25 µl 5 U/µl QiagenTaq DNA polymerase, 18.75 µl milliQ and 1.0 µl template DNA for a total volume of 25 µl. Bi-directional sequencing was performed for all specimens at Macrogen. We checked the possible amplification of pseudogenes (Numts) by translating the protein coding genes into amino acids sequences, but we did not observe any unexpected stop codons, frameshifts or unusual amino acidic substitutions. Furthermore we amplified a longer sequence of the COI gene with primers (CO1-ExtF and CO1-ExtR) for selected samples, and also here we did not see any indication of pseudogene co-amplification. Lijtmaer et al. (2012) found that, in birds, full-length COI pseudogenes are uncommon noting that they might be more frequently encountered when working with avian blood samples as opposed to muscle tissue samples (as used in here).

Data analysis

Sequences shorter than 500 bp and containing more than 10 ambiguous nucleotides were excluded from the analyses. All sequences have been deposited in GenBank (Accession numbers KF946551 to KF946937). A full list of the museum vouchers, for all specimens applied in this study, is provided in Appendix – Table 1.
Supplementary table 1.

List of all Dutch birds that have been sequenced in this study, with voucher numbers and collection localities. Note that specimens from which only tissue samples have been taken have not been given a collection number, sine loco refers to specimens collected in the Netherlands but without a precise named collection locality. Localities in the province of Friesland are listed with their Dutch name first, followed by their Frisian name. Coordinates are given in decimal degrees.

Species or subspeciesZMA numberPreparationLocalityCoordinatesAccess numbers
Accipiter gentilis gentilisZMA58297skinZaandam52.25N, 4.49EKF946551
Accipiter gentilis gentilisZMA58724skinDe Rips51.32N, 5.48EKF946552
Accipiter nisus nisusZMA58243skinMalden51.47N, 5.52EKF946553
Accipiter nisus nisusZMA58245skinHelden51.21N, 5.55EKF946554
Accipiter nisus nisusZMA58246skinReuver51.17N, 6.04EKF946555
Accipiter nisus nisusZMA58247skinCulemborg51.55N, 5.15EKF946556
Accipiter nisus nisusZMA58248skinAmsterdam52.21N, 4.53EKF946557
Accipiter nisus nisusZMA58741skinAmsterdam52.21N, 4.53EKF946558
Accipiter nisus nisusZMA58742skinMontfort51.07N, 5.56EKF946559
Accipiter nisus nisusZMA58743skinBelfeld51.18N, 6.08EKF946560
Accipiter nisus nisusZMA58744skinLaren52.11N, 6.22EKF946561
Accipiter nisus nisusZMA58745skinAlmere52.22N, 5.13EKF946562
Accipiter nisus nisusZMA58746skinVenlo51.21N, 6.11EKF946563
Acrocephalus palustrisZMA56679skinHarderbroek reserve52.22N, 5.35EKF946564
Acrocephalus palustrisZMA58811skinCastricum52.32N, 4.36EKF946565
Acrocephalus schoenobaenusZMA58278skinAlmere52.22N, 5.13EKF946566
Acrocephalus schoenobaenusZMA58809skinAlmere52.22N, 5.13EKF946567
Acrocephalus schoenobaenusZMA58810skinCastricum52.32N, 4.36EKF946568
Acrocephalus schoenobaenusZMA58862skinWassenaar53.08N, 5.53EKF946569
Acrocephalus scirpaceus scirpaceusZMA58277skinOostvaardersdijk52.29N, 5.23EKF946570
Acrocephalus scirpaceus scirpaceusZMA58725skinSchermerhorn52.36N, 4.54EKF946571
Acrocephalus scirpaceus scirpaceusZMA58727skinLelystad52.29N, 5.24EKF946572
Acrocephalus scirpaceus scirpaceusZMA58728skinLelystad52.29N, 5.24EKF946573
Acrocephalus scirpaceus scirpaceusZMA58729skinCastricum52.32N, 4.36EKF946574
Acrocephalus scirpaceus scirpaceusZMA58863skinLauwersmeer53.22N, 6.14EKF946575
Acrocephalus scirpaceus scirpaceusZMA58937skinLelystad52.29N, 5.24EKF946576
Acrocephalus scirpaceus scirpaceusZMA58938skinPurmerend52.28N, 4.58EKF946577
Aegithalos caudatus europaeusZMA57353skinWestenschouwen51.41N, 3.42EKF946578
Aegithalos caudatus europaeusZMA57354skinWestenschouwen51.41N, 3.42EKF946579
Aegithalos caudatus europaeusZMA57356skinHilversum52.13N, 5.09EKF946580
Aegithalos caudatus europaeusZMA58804skinCastricum52.32N, 4.36EKF946581
Alcedo atthis ispidaZMA56216skinHaelen51.13N, 5.56EKF946582
Alcedo atthis ispidaZMA57341skinPurmerland52.28N, 4.55EKF946583
Alcedo atthis ispidaZMA57342skinAlkmaar52.38N, 4.44EKF946584
Alcedo atthis ispidaZMA57343skinUtrecht52.03N, 5.08EKF946585
Alcedo atthis ispidaZMA58869skinLeeuwarden/Ljouwert53.13N, 5.45EKF946586
Alle alle alleZMA58842skinAmsterdam52.21N, 4.53EKF946587
Alle alle alleZMA58917skinAmsterdam52.21N, 4.53EKF946588
Alle alle alleZMA58918skinDen Helder52.55N, 4.46EKF946589
Anas acutaZMA58228skinVlieland Island53.15N, 4.59EKF946590
Anas strepera streperaZMA58913skinDriebond Polder53.11N, 6.37EKF946591
Anthus spinoletta spinolettaZMA58279skinLelystad52.29N, 5.24EKF946592
Anthus spinoletta spinolettaZMA64552skinCastricum52.32N, 4.36EKF946593
Anthus trivialis trivialisTissue553DNA sampleCastricum52.32N, 4.36EKF946594
Apus apus apusZMA58717skinTegelen51.19N, 6.09EKF946595
Ardea cinerea cinereaTissue434DNA sampleLeeuwarden/Ljouwert53.13N, 5.45EKF946596
Ardea cinerea cinereaTissue435DNA sampleLeeuwarden/Ljouwert53.13N, 5.45EKF946597
Asio flammeus flammeusZMA58253skinTexel Island53.04N, 4.43EKF946598
Asio otus otusTissue455DNA sampleLeeuwarden/Ljouwert53.13N, 5.45EKF946599
Asio otus otusZMA58233skinPurmerend52.28N, 4.58EKF946600
Asio otus otusZMA58234skinZutphen52.07N, 6.12EKF946601
Athene noctua vidaliiZMA58493skinHeerhugowaard52.4N, 4.51EKF946602
Athene noctua vidaliiZMA58294skinBlerick51.21N, 6.08EKF946603
Bombycilla garrulus garrulusZMA56300skinAmsterdam52.21N, 4.53EKF946604
Bombycilla garrulus garrulusZMA56301wingsTexel Island53.04N, 4.43EKF946605
Bombycilla garrulus garrulusZMA58301wingsHellendoorn52.23N, 6.26EKF946606
Bombycilla japonicaZMA58302skinAmsterdam52.21N, 4.53EKF946607
Buteo buteo buteoTissue461DNA sampleLeeuwarden/Ljouwert53.13N, 5.45EKF946608
Buteo buteo buteoZMA58238skinWieringermeer52.54N, 5.01EKF946609
Buteo buteo buteoZMA58239skinDe Rips51.32N, 5.48EKF946610
Buteo buteo buteoZMA58781wingLeeuwarden/Ljouwert53.13N, 5.45EKF946611
Buteo buteo buteoZMA58828skinWartena52.12N, 4.3EKF946612
Buteo buteo buteoZMA58920wingsRolde52.58N, 6.38EKF946613
Calidris alpina alpinaZMA58700skinSchiermonnikoog Island53.29N, 6.11EKF946614
Calonectris diomedea borealisZMA57255skinLith51.47N, 5.26EKF946615
Carduelis cannabina cannabinaZMA58911skinNoordijk52.08N, 6.34EKF946616
Carduelis carduelisZMA58866skinSchiermonnikoog Island53.29N, 6.11EKF946617
Carduelis chloris chlorisZMA57337skinCadier en Keer50.49N, 5.46EKF946618
Carduelis chloris chlorisZMA58947skinGoor52.14N, 6.34EKF946619
Carduelis flammea cabaretZMA57248skinKennemerduinen52.42N, 4.58EKF946620
Carduelis flammea cabaretZMA58283skinWestenschouwen51.41N, 3.42EKF946621
Carduelis flammea flammeaZMA57251skinKennemerduinen52.42N, 4.58EKF946622
Carduelis flammea flammeaZMA64564skinCastricum52.32N, 4.36EKF946623
Carduelis flavirostrisZMA57253skinCastricum52.32N, 4.36EKF946624
Carduelis flavirostrisZMA57254skinCastricum52.32N, 4.36EKF946625
Carduelis spinusZMA55904skinNijverdal52.22N, 6.28EKF946626
Carduelis spinusZMA57256skinWestenschouwen51.41N, 3.42EKF946627
Carduelis spinusZMA58286skinHellendoorn52.23N, 6.26EKF946628
Certhia brachydactyla megarhynchaZMA57322skinHellendoorn52.23N, 6.26EKF946629
Certhia brachydactyla megarhynchaZMA57323skinLekkerkerk51.53N, 4.41EKF946630
Certhia brachydactyla megarhynchaZMA57325skinWageningen51.58N, 5.38EKF946631
Certhia brachydactyla megarhynchaZMA57326skinZeist52.05N, 5.16EKF946632
Certhia brachydactyla megarhynchaZMA57327skinHeiloo52.36N, 4.44EKF946633
Certhia brachydactyla megarhynchaZMA58805skinCastricum52.32N, 4.36EKF946634
Certhia brachydactyla megarhynchaZMA58949skinLekkerkerk51.53N, 4.41EKF946635
Certhia brachydactyla megarhynchaZMA64563skinCastricum52.32N, 4.36EKF946636
Charadrius hiaticulaTissue452DNA sampleLeeuwarden/Ljouwert53.13N, 5.45EKF946637
Circus aeruginosus aeruginosusZMA58780skinLeeuwarden/Ljouwert53.13N, 5.45EKF946638
Circus aeruginosus aeruginosusZMA58826skinEibergen52.06N, 6.37EKF946639
Circus aeruginosus aeruginosusZMA58874wingsZuid-Flevoland52.26N, 5.16EKF946640
Coccothraustes coccothraustesZMA56212skinLaag Keppel51.59N, 6.13EKF946641
Corvus corax coraxZMA57144skinAppelscha/Appelskea52.55N, 5.2EKF946642
Coturnix coturnix coturnixZMA58775skinDeventer52.15N, 6.11EKF946643
Coturnix coturnix coturnixZMA58776skinHet Bildt53.17N, 5.4EKF946644
Cuculus canorus canorusZMA56681skinBergen52.4N, 4.41EKF946645
Cuculus canorus canorusZMA64549skinAlkmaar52.38N, 4.44EKF946646
Delichon urbicumZMA56215skinSeaKF946647
Delichon urbicum urbicumZMA55919skinNieuwegein52.01N, 5.05EKF946648
Delichon urbicum urbicumZMA58300wingsLage Zwaluwe51.42N, 4.42EKF946649
Delichon urbicum urbicumZMA58870skinLeeuwarden/Ljouwert53.13N, 5.45EKF946650
Dendrocopos major pinetorumZMA58803skinOudkerk/Aldtsjerk53.15N, 5.53EKF946651
Dryocopus martius martiusZMA58766skinTegelen51.19N, 6.09EKF946652
Emberiza citrinella citrinellaZMA57257skinWestenschouwen51.41N, 3.42EKF946653
Emberiza melanocephalaZMA56996skinBovenkerk52.17N, 4.49EKF946654
Emberiza pusillaZMA58859skinSchiermonnikoog Island53.29N, 6.11EKF946655
Emberiza pusillaZMA58860skinVlieland Island53.15N, 4.59EKF946656
Emberiza schoeniclus schoeniclusZMA58857skinNoordpolderzijl53.25N, 6.34EKF946657
Emberiza schoeniclus schoeniclusZMA58858skinOostvaardersdijk52.29N, 5.23EKF946658
Erithacus rubecula rubeculaTissue436DNA sampleCastricum52.32N, 4.36EKF946659
Erithacus rubecula rubeculaTissue437DNA sampleCastricum52.32N, 4.36EKF946660
Erithacus rubecula rubeculaZMA58274skinBloemendaal52.24N, 4.33EKF946661
Erithacus rubecula rubeculaZMA58740skinDoldersum52.52N, 6.17EKF946662
Falco columbarius aesalonZMA58840skinTexel Island53.04N, 4.43EKF946663
Falco columbarius aesalonZMA60127skinSpaarndam52.24N, 4.41EKF946664
Falco peregrinus peregrinusZMA58872skinHaarlem52.23N, 4.37EKF946665
Falco subbuteo subbuteoZMA56231skinZundert51.28N, 4.38EKF946666
Falco subbuteo subbuteoZMA56232skinHeerhugowaard52.4N, 4.51EKF946667
Falco subbuteo subbuteoZMA58241skinHoogland52.1N, 5.21EKF946668
Falco subbuteo subbuteoZMA58242skinTexel Island53.04N, 4.43EKF946669
Falco subbuteo subbuteoZMA58841skinAmsterdam52.21N, 4.53EKF946670
Falco tinnunculus tinnunculusTissue456DNA sampleLeeuwarden/Ljouwert53.13N, 5.45EKF946671
Falco tinnunculus tinnunculusZMA58296skinZaandam52.25N, 4.49EKF946672
Falco tinnunculus tinnunculusZMA58752skinMaasbree51.21N, 6.03EKF946673
Falco tinnunculus tinnunculusZMA58754skinBoekend51.22N, 6.06EKF946674
Falco tinnunculus tinnunculusZMA58774skinLeeuwarden/Ljouwert53.13N, 5.45EKF946675
Falco tinnunculus tinnunculusZMA58837skinWestzaan52.26N, 4.46EKF946676
Falco tinnunculus tinnunculusZMA58838skinLeeuwarden/Ljouwert53.13N, 5.45EKF946677
Falco tinnunculus tinnunculusZMA58839wingsReutum52.23N, 6.5EKF946678
Falco vespertinusZMA58773skinLeeuwarden/Ljouwert53.13N, 5.45EKF946679
Ficedula hypoleuca muscipetaZMA55913skinOtterlo52.04N, 5.5EKF946680
Ficedula hypoleuca muscipetaZMA57239skinMarkelo52.14N, 6.3EKF946681
Ficedula hypoleuca muscipetaZMA57320skinGarderen52.12N, 5.43EKF946682
Ficedula hypoleucaZMA58865skinEemshaven53.26N, 6.52EKF946683
Fratercula arctica grabaeZMA56226skinTexel Island53.04N, 4.43EKF946684
Fratercula arctica grabaeZMA58226skinTexel Island53.04N, 4.43EKF946685
Fratercula arctica grabaeZMA58227skinHondsbossche Zeewering52.44N, 4.38EKF946686
Fringilla coelebs coelebsZMA58948skinGoor52.14N, 6.34EKF946687
Fringilla montifringillaTissue449DNA sampleLeeuwarden/Ljouwert53.13N, 5.45EKF946688
Fulmarus glacialis auduboniZMA56235wingsHondsbossche Zeewering52.44N, 4.38EKF946689
Fulmarus glacialis glacialisZMA60119skinNeeltje Jans51.37N, 3.41EKF946690
Fulmarus glacialis glacialisZMA60120skinTexel Island53.04N, 4.43EKF946691
Fulmarus glacialis glacialisZMA60121skinHondsbossche Zeewering52.44N, 4.38EKF946692
Fulmarus glacialis glacialisZMA60123skinAmeland Island53.27N, 5.39EKF946693
Fulmarus glacialis glacialisZMA60124skinAmeland Island53.27N, 5.39EKF946694
Fulmarus glacialis glacialisZMA60125skinHondsbossche Zeewering52.44N, 4.38EKF946695
Fulmarus glacialis glacialisZMA60126skinPetten52.46N, 4.38EKF946696
Fulmarus glacialisZMA58737skinVlieland Island53.15N, 4.59EKF946697
Gallinula chloropus chloropusTissue105DNA sampleWijde Wormer52.28N, 4.53EKF946698
Gallinula chloropus chloropusTissue110DNA sampleWijde Wormer52.28N, 4.53EKF946699
Garrulus glandarius glandariusZMA58306wingsAmsterdam52.21N, 4.53EKF946700
Gavia immerTissue214DNA sampleBergen aan Zee52.39N, 4.37EKF946701
Haematopus ostralegus ostralegusTissue458DNA sampleLeeuwarden/Ljouwert53.13N, 5.45EKF946702
Haematopus ostralegus ostralegusTissue459DNA sampleLeeuwarden/Ljouwert53.13N, 5.45EKF946703
Hirundo rustica rusticaTissue450DNA sampleLeeuwarden/Ljouwert53.13N, 5.45EKF946704
Hirundo rustica rusticaTissue451DNA sampleLeeuwarden/Ljouwert53.13N, 5.45EKF946705
Hirundo rustica rusticaZMA56214skinAmstelveen52.18N, 4.53EKF946706
Hirundo rustica rusticaZMA58289skinAppelscha/Appelskea52.55N, 5.2EKF946707
Hirundo rustica rusticaZMA58290skinAppelscha/Appelskea52.55N, 5.2EKF946708
Hirundo rustica rusticaZMA58696skinRijswijk51.57N, 5.21EKF946709
Hirundo rustica rusticaZMA58802skinNoordbergum/Noardburgum53.13N, 6EKF946710
Jynx torquilla torquillaZMA56213skinAarle-Rixtel51.3N, 5.39EKF946711
Jynx torquilla torquillaZMA57330skinLimmen52.34N, 4.41EKF946712
Jynx torquilla torquillaZMA58303wingsBelfeld51.18N, 6.08EKF946713
Jynx torquilla torquillaZMA58873skinWilnis52.11N, 4.54EKF946714
Larus argentatus argenteusZMA58921wingsEemshaven53.26N, 6.52EKF946715
Larus argentatusTissue433DNA sampleLeeuwarden/Ljouwert53.13N, 5.45EKF946716
Larus cachinnansZMA64547skinVlieland Island53.15N, 4.59EKF946717
Larus fuscus graelsiiTissue432DNA sampleLeeuwarden/Ljouwert53.13N, 5.45EKF946718
Larus fuscus intermediusTissue327DNA-sampleLeeuwarden/Ljouwert53.13N, 5.45EKF946719
Larus fuscus intermediusZMA55932skinNeeltje Jans51.37N, 3.41EKF946720
Larus fuscus intermediusZMA56230skinEuropoort51.56N, 4.05EKF946721
Larus fuscus intermediusZMA58834skinLeeuwarden/Ljouwert53.13N, 5.45EKF946722
Larus glaucoides glaucoidesZMA58836wingsTexel Island53.04N, 4.43EKF946723
Larus hyperboreusZMA56221skinTexel Island53.04N, 4.43EKF946724
Larus melanocephalusZMA57226skinWijdenes52.37N, 5.1EKF946725
Larus michahellis michahellisZMA58835skinAfsluitdijk52.57N, 5.04EKF946726
Limosa lapponica lapponicaZMA58202skinSchiermonnikoog Island53.29N, 6.11EKF946727
Limosa lapponica lapponicaZMA58203skinSchiermonnikoog Island53.29N, 6.11EKF946728
Limosa lapponica taymyrensisZMA58204skinPaesens53.24N, 6.06EKF946729
Limosa lapponica taymyrensisZMA58205skinPaesens53.24N, 6.06EKF946730
Limosa lapponica taymyrensisZMA58206skinPaesens53.24N, 6.06EKF946731
Limosa lapponica taymyrensisZMA58207skinPaesens53.24N, 6.06EKF946732
Limosa lapponica taymyrensisZMA58208skinPaesens53.24N, 6.06EKF946733
Limosa lapponica taymyrensisZMA58782wingsCastricum52.32N, 4.36EKF946734
Limosa lapponica taymyrensisZMA58783wingsCastricum52.32N, 4.36EKF946735
Limosa limosa limosaTissue457DNA sampleLeeuwarden/Ljouwert53.13N, 5.45EKF946736
Limosa limosa limosaZMA57227skinHolysloot52.24N, 5.01EKF946737
Limosa limosa limosaZMA58229skinWaterland52.07N, 4.19EKF946738
Limosa limosa limosaZMA58230skinEdam52.32N, 5.01EKF946739
Limosa limosa limosaZMA58231skinLeeuwarden/Ljouwert53.13N, 5.45EKF946740
Limosa limosa limosaZMA58232skinLeeuwarden/Ljouwert53.13N, 5.45EKF946741
Locustella luscinioides luscinioidesZMA64557skinCastricum52.32N, 4.36EKF946742
Locustella naevia naeviaZMA56675skinAlmere52.22N, 5.13EKF946743
Locustella naevia naeviaZMA56678skinAlmere52.22N, 5.13EKF946744
Locustella naevia naeviaZMA57235skinWestenschouwen51.41N, 3.42EKF946745
Locustella naevia naeviaZMA58812skinCastricum52.32N, 4.36EKF946746
Locustella naevia naeviaZMA58936skinHondsbossche Zeewering52.44N, 4.38EKF946747
Locustella naevia naeviaZMA60132skinKennemerduinen52.42N, 4.58EKF946748
Locustella naevia naeviaZMA60133skinKennemerduinen52.42N, 4.58EKF946749
Locustella naevia naeviaZMA64556skinCastricum52.32N, 4.36EKF946750
Loxia curvirostra curvirostraZMA57246skinEesveen52.5N, 6.06EKF946751
Loxia curvirostra curvirostraZMA57247skinLeersum52.01N, 5.25EKF946752
Luscinia megarhynchos megarhynchosZMA58798skinAmsterdam52.21N, 4.53EKF946753
Lymnocryptes minimusZMA55930skinHeerhugowaard52.4N, 4.51EKF946754
Lymnocryptes minimusZMA58293skinUitgeest52.31N, 4.42EKF946755
Milvus milvus milvusZMA58307wingsGrolloo52.55N, 6.39EKF946756
Milvus milvus milvusZMA58824wingsSusteren51.03N, 5.52EKF946757
Milvus milvus milvusZMA58825skinHeurne51.54N, 6.34EKF946758
Motacilla alba yarrelliiZMA58946skinHaastrecht51.59N, 4.46EKF946759
Motacilla cinerea cinereaZMA57241skinWestenschouwen51.41N, 3.42EKF946760
Motacilla cinerea cinereaZMA58266skinWestenschouwen51.41N, 3.42EKF946761
Motacilla cinerea cinereaZMA58267skinWestenschouwen51.41N, 3.42EKF946762
Motacilla cinerea cinereaZMA58945skinWestenschouwen51.41N, 3.42EKF946763
Muscicapa striata striataZMA57336skinIlpendam52.27N, 4.56EKF946764
Numenius arquata arquataTissue431DNA sampleLeeuwarden/Ljouwert53.13N, 5.45EKF946765
Numenius arquata arquataZMA58765skinSchiermonnikoog Island53.29N, 6.11EKF946766
Numenius arquata arquataZMA58829skinHeemskerk52.3N, 4.36EKF946767
Oenanthe oenanthe leucorhoaZMA58868skinLeeuwarden/Ljouwert53.13N, 5.45EKF946768
Oenanthe oenanthe oenantheZMA58275skinHondsbossche Zeewering52.44N, 4.38EKF946769
Oenanthe oenanthe oenantheZMA58800skinNoordbergum/Noardburgum53.13N, 6EKF946770
Oriolus oriolus oriolusZMA58288skinHeteren51.57N, 5.45EKF946771
Oriolus oriolus oriolusZMA58305wingsZundert51.28N, 4.38EKF946772
Pandion haliaetus haliaetusZMA58823wingVlieland Island53.15N, 4.59EKF946773
Panurus biarmicus biarmicusZMA57318skinOostvaardersdijk52.29N, 5.23EKF946774
Panurus biarmicus biarmicusZMA58262skinLelystad52.29N, 5.24EKF946775
Panurus biarmicus biarmicusZMA58263skinLelystad52.29N, 5.24EKF946776
Panurus biarmicus biarmicusZMA58264skinLelystad52.29N, 5.24EKF946777
Panurus biarmicus biarmicusZMA58265skinLelystad52.29N, 5.24EKF946778
Panurus biarmicus biarmicusZMA58854skinOostvaardersdijk52.29N, 5.23EKF946779
Panurus biarmicus biarmicusZMA58855skinOostvaardersdijk52.29N, 5.23EKF946780
Panurus biarmicus biarmicusZMA58856skinOostvaardersdijk52.29N, 5.23EKF946781
Parus ater aterTissue555DNA sampleCastricum52.32N, 4.36EKF946782
Parus ater aterZMA56219skinHuizen52.17N, 5.14EKF946783
Parus ater aterZMA57242skinArnhem51.58N, 5.53EKF946784
Parus ater aterZMA57243skinAmsterdam52.21N, 4.53EKF946785
Parus ater aterZMA58867skinAmsterdam52.21N, 4.53EKF946786
Parus ater aterZMA64562skinCastricum52.32N, 4.36EKF946787
Parus caeruleus caeruleusTissue438DNA sampleCastricum52.32N, 4.36EKF946788
Parus caeruleus caeruleusTissue439DNA sampleCastricum52.32N, 4.36EKF946789
Parus caeruleus caeruleusTissue440DNA sampleCastricum52.32N, 4.36EKF946790
Parus caeruleus caeruleusZMA58944wingLeeuwarden/Ljouwert53.13N, 5.45EKF946791
Parus cristatus mitratusZMA56677skinNijverdal52.22N, 6.28EKF946792
Parus cristatus mitratusZMA57245skinHoog Buurlo52.1N, 5.5EKF946793
Parus major majorZMA58796skinLeeuwarden/Ljouwert53.13N, 5.45EKF946794
Parus major majorZMA58797skinCastricum52.32N, 4.36EKF946795
Parus palustris palustrisZMA57244skinCastricum52.32N, 4.36EKF946796
Parus palustris palustrisZMA64561skinGoor52.14N, 6.34EKF946797
Passer domesticus domesticusZMA58799skinCadier en Keer50.49N, 5.46EKF946798
Passer domesticus domesticusZMA60138skinLekkerkerk51.53N, 4.41EKF946799
Passer montanus montanusZMA58851skinZuidhorn53.14N, 6.23EKF946800
Passer montanus montanusZMA58852skinZuidhorn53.14N, 6.23EKF946801
Passer montanus montanusZMA58853skinZuidhorn53.14N, 6.23EKF946802
Passer montanus montanusZMA58950skinZuidhorn53.14N, 6.23EKF946803
Perdix perdix perdixZMA58738skinTexel Island53.04N, 4.43EKF946804
Perdix perdix perdixZMA58739skinPetten52.46N, 4.38EKF946805
Pernis apivorusZMA58827wingsVledder52.53N, 6.13EKF946806
Phalacrocorax aristotelis aristotelisZMA58224skinWijk aan Zee52.28N, 4.34EKF946807
Philomachus pugnaxZMA56680skinGraftermeer polder52.33N, 4.48EKF946808
Philomachus pugnaxZMA58250skinLelystad52.29N, 5.24EKF946809
Phoenicopterus chilensisZMA56683skinRansdorp52.23N, 4.59EKF946810
Phoenicurus phoenicurus phoenicurusZMA55914skinWestenschouwen51.41N, 3.42EKF946811
Phylloscopus collybita collybitaZMA55917skinNijverdal52.22N, 6.28EKF946812
Phylloscopus collybita collybitaZMA55918wingsLeveroy51.14N, 5.5EKF946813
Phylloscopus collybita collybitaZMA56217skinHoogland52.1N, 5.21EKF946814
Phylloscopus trochilusZMA58284skinLelystad52.29N, 5.24EKF946815
Phylloscopus trochilusZMA58710skinAlmere52.22N, 5.13EKF946816
Phylloscopus trochilusZMA58713skinEgmond aan Zee52.37N, 4.38EKF946817
Phylloscopus trochilusZMA58714skinLekkerkerk51.53N, 4.41EKF946818
Phylloscopus trochilusZMA58715skinTexel Island53.04N, 4.43EKF946819
Phylloscopus trochilusZMA58716skinCastricum52.32N, 4.36EKF946820
Phylloscopus trochilusZMA58861skinCastricum52.32N, 4.36EKF946821
Phylloscopus trochilusZMA58933wingsGoor52.14N, 6.34EKF946822
Phylloscopus trochilusZMA58934skinEemshaven53.26N, 6.52EKF946823
Picus viridis viridisZMA58718skinBreda51.33N, 4.46EKF946824
Picus viridis viridisZMA58719skinHaaksbergen52.08N, 6.4EKF946825
Picus viridis viridisZMA58720skinAlkmaar52.38N, 4.44EKF946826
Picus viridis viridisZMA58721skinRoggel51.17N, 5.54EKF946827
Picus viridis viridisZMA58722skinBergen52.4N, 4.41EKF946828
Plectrophenax nivalis insulaeZMA56672skinCastricum52.32N, 4.36EKF946829
Pluvialis apricariaZMA58213skinWinsum53.09N, 5.38EKF946830
Pluvialis apricariaZMA58214skinWinsum53.09N, 5.38EKF946831
Pluvialis apricariaZMA58215skinDronrijp/Dronryp53.11N, 5.4EKF946832
Pluvialis squatarola squatarolaZMA56224skinSchiermonnikoog Island53.29N, 6.11EKF946833
Pluvialis squatarola squatarolaZMA56225skinSchiermonnikoog Island53.29N, 6.11EKF946834
Puffinus gravisZMA64542skinSexbierum/Seisbierrum53.14N, 5.28EKF946835
Pyrrhula pyrrhula europoeaZMA56673skinCastricum52.32N, 4.36EKF946836
Pyrrhula pyrrhula europoeaZMA58793skinCastricum52.32N, 4.36EKF946837
Pyrrhula pyrrhula europoeaZMA58794skinCastricum52.32N, 4.36EKF946838
Pyrrhula pyrrhula europoeaZMA58795skinCastricum52.32N, 4.36EKF946839
Pyrrhula pyrrhula europoeaZMA60137wingsKennemerduinen52.42N, 4.58EKF946840
Rallus aquaticus aquaticusZMA58763skinLauwersmeer53.22N, 6.14EKF946841
Recurvirostra avosettaZMA58216skinPetten52.46N, 4.38EKF946842
Regulus ignicapilla ignicapillaTissue448DNA sampleCastricum52.32N, 4.36EKF946843
Regulus ignicapilla ignicapillaZMA57360skinZundert51.28N, 4.38EKF946844
Regulus ignicapilla ignicapillaZMA58807skinCastricum52.32N, 4.36EKF946845
Regulus ignicapilla ignicapillaZMA58808skinCastricum52.32N, 4.36EKF946846
Regulus regulus regulusZMA64560skinCastricum52.32N, 4.36EKF946847
Riparia riparia ripariaZMA58871skinZeewolde52.21N, 5.34EKF946848
Saxicola rubetraZMA60131skinKennemerduinen52.42N, 4.58EKF946849
Saxicola rubetraZMA64555skinCastricum52.32N, 4.36EKF946850
Somateria mollissima mollissimaZMA58912skinLauwersoog53.24N, 6.12EKF946851
Stercorarius longicaudusZMA58779wingsAfsluitdijk52.57N, 5.04EKF946852
Stercorarius longicaudusZMA64546skinPetten52.46N, 4.38EKF946853
Stercorarius parasiticusZMA56229skinVlieland Island53.15N, 4.59EKF946854
Stercorarius parasiticusZMA56684wingsTerschelling Island53.26N, 5.29EKF946855
Stercorarius parasiticusZMA58778skinDen Oever52.56N, 5.02EKF946856
Stercorarius parasiticusZMA58830skinDen Helder52.55N, 4.46EKF946857
Stercorarius pomarinusTissue211DNA sampleTexel Island53.04N, 4.43EKF946858
Stercorarius pomarinusZMA55929skinHondsbossche Zeewering52.44N, 4.38EKF946859
Stercorarius skua skuaZMA64545skinEgmond aan Zee52.37N, 4.38EKF946860
Sterna albifrons albifronsZMA58832skinSchiermonnikoog Island53.29N, 6.11EKF946861
Sterna hirundo hirundoZMA58915skinEemshaven53.26N, 6.52EKF946862
Sterna paradisaeaZMA58831skinAmsterdam52.21N, 4.53EKF946863
Streptopelia decaocto decaoctoZMA58923wingHoogkerk53.12N, 6.3EKF946864
Streptopelia turtur turturZMA58757skinTexel Island53.04N, 4.43EKF946865
Sylvia atricapilla atricapillaTissue441DNA sampleCastricum52.32N, 4.36EKF946866
Sylvia atricapilla atricapillaTissue442DNA sampleCastricum52.32N, 4.36EKF946867
Sylvia atricapilla atricapillaZMA58268skinBloemendaal52.24N, 4.33EKF946868
Sylvia atricapilla atricapillaZMA58269skinBloemendaal52.24N, 4.33EKF946869
Sylvia atricapilla atricapillaZMA58270skinBloemendaal52.24N, 4.33EKF946870
Sylvia atricapilla atricapillaZMA58759skinCadier en Keer50.49N, 5.46EKF946871
Sylvia borin borinTissue443DNA sampleCastricum52.32N, 4.36EKF946872
Sylvia borin borinZMA58758skinGroningen53.14N, 6.35EKF946873
Sylvia borin borinZMA58761skinAlmere52.22N, 5.13EKF946874
Sylvia borin borinZMA58762skinPurmerend52.28N, 4.58EKF946875
Sylvia communis communisZMA55924wingAsten51.21N, 5.48EKF946876
Sylvia communis communisZMA57335skinAlmere52.22N, 5.13EKF946877
Sylvia communis communisZMA58280skinBreda51.33N, 4.46EKF946878
Sylvia communis communisZMA58939skinCastricum52.32N, 4.36EKF946879
Sylvia communis communisZMA58940skinBloemendaal52.24N, 4.33EKF946880
Sylvia curruca blythiZMA58941skinHouten52.01N, 5.1EKF946881
Sylvia curruca blythiZMA57237skinRotterdam51.57N, 4.32EKF946882
Sylvia curruca currucaZMA55905skinWestenschouwen51.41N, 3.42EKF946883
Sylvia curruca currucaZMA55906skinAmsterdam52.21N, 4.53EKF946884
Sylvia curruca currucaZMA57328skinAlmere52.22N, 5.13EKF946885
Sylvia curruca currucaZMA57329skinTexel Island53.04N, 4.43EKF946886
Sylvia curruca currucaZMA58282skinZeewolde52.21N, 5.34EKF946887
Sylvia curruca currucaZMA58806skinLeeuwarden/Ljouwert53.13N, 5.45EKF946888
Sylvia curruca currucaZMA58864skinEemshaven53.26N, 6.52EKF946889
Sylvia curruca currucaZMA58942skinBloemendaal52.24N, 4.33EKF946890
Sylvia nisoria nisoriaZMA58273skinWestenschouwen51.41N, 3.42EKF946891
Tringa ochropusZMA64544skinCastricum52.32N, 4.36EKF946892
Tringa totanus totanusZMA58212skinSchiermonnikoog Island53.29N, 6.11EKF946893
Troglodytes troglodytes troglodytesTissue447DNA sampleCastricum52.32N, 4.36EKF946894
Troglodytes troglodytes troglodytesZMA58281skinBloemendaal52.24N, 4.33EKF946895
Turdus iliacus iliacusZMA58287skinBloemendaal52.24N, 4.33EKF946896
Turdus merula merulaZMA56669skinHaarlem52.23N, 4.37EKF946897
Turdus merula merulaZMA56670skinBergen52.4N, 4.41EKF946898
Turdus merula merulaZMA57345skinZwolle52.3N, 6.06EKF946899
Turdus merula merulaZMA58731skinAlkmaar52.38N, 4.44EKF946900
Turdus merula merulaZMA58732skinMaasbree51.21N, 6.03EKF946901
Turdus merula merulaZMA58733skinMaasbree51.21N, 6.03EKF946902
Turdus merula merulaZMA58734skinSteijl51.2N, 6.07EKF946903
Turdus merula merulaZMA58736skinSchiermonnikoog Island53.29N, 6.11EKF946904
Turdus philomelos philomelosTissue453DNA sampleLeeuwarden/Ljouwert53.13N, 5.45EKF946905
Turdus philomelos philomelosTissue454DNA sampleLeeuwarden/Ljouwert53.13N, 5.45EKF946906
Turdus torquatus torquatusZMA56222skinTexel Island53.04N, 4.43EKF946907
Turdus torquatus torquatusZMA56671skinCastricum52.32N, 4.36EKF946908
Turdus torquatus torquatusZMA58693skinApeldoorn52.1N, 5.58EKF946909
Turdus torquatus torquatusZMA58694skinVlieland Island53.15N, 4.59EKF946910
Turdus torquatus torquatusZMA58695skinZuilichem51.48N, 5.07EKF946911
Turdus torquatus torquatusZMA64554skinTexel Island53.04N, 4.43EKF946912
Turdus viscivorus viscivorusZMA60130skinKennemerduinen52.42N, 4.58EKF946913
Tyto alba albaZMA56233skinBurgerbrug52.45N, 4.42EKF946914
Tyto alba guttataZMA56682skinWierden52.22N, 6.34EKF946915
Tyto alba guttataZMA58235skinTexel Island53.04N, 4.43EKF946916
Tyto alba guttataZMA58236skinOuderkerk aan de Amstel52.17N, 4.56EKF946917
Tyto alba guttataZMA58843skinWestzaan52.26N, 4.46EKF946918
Tyto alba guttataZMA58844skinZaanstreek52.28N, 4.44EKF946919
Tyto alba guttataZMA58845skinRoodkerk/Readtsjerk53.15N, 5.55EKF946920
Tyto alba guttataZMA58846skinGarijp/Garyp53.1N, 5.57EKF946921
Tyto alba guttataZMA58847skinMiddenmeer52.48N, 4.59EKF946922
Tyto alba guttataZMA58848wingsLeeuwarden/Ljouwert53.13N, 5.45EKF946923
Tyto alba guttataZMA58919skinTexel Island53.04N, 4.43EKF946924
Tyto alba guttataZMA64550skinPurmerend52.28N, 4.58EKF946925
Tyto alba guttataZMA64551skinGoor52.14N, 6.34EKF946926
Uria aalge albionisZMA56227skinAmsterdam52.21N, 4.53EKF946927
Uria aalge albionisZMA58218skinVlieland Island53.15N, 4.59EKF946928
Uria aalge albionisZMA58916skinPetten52.46N, 4.38EKF946929
Vanellus vanellusZMA58784wingValkenburg52.09N, 4.25EKF946930
Vanellus vanellusZMA58785wingValkenburg52.09N, 4.25EKF946931
Vanellus vanellusZMA58786wingValkenburg52.09N, 4.25EKF946932
Vanellus vanellusZMA58787wingValkenburg52.09N, 4.25EKF946933
Vanellus vanellusZMA58788wingValkenburg52.09N, 4.25EKF946934
Vanellus vanellusZMA58789wingValkenburg52.09N, 4.25EKF946935
Vanellus vanellusZMA58790wingValkenburg52.09N, 4.25EKF946936
Vanellus vanellusZMA58791wingValkenburg52.09N, 4.25EKF946937
For all sequence comparisons, the Kimura 2-parameter (K2P) model was used, because it is shown to be the best metric to compare closely related taxa (Nei and Kumar 2000, but for a contrasting view see Srivathsan and Meier 2012). Average intraspecific distances were calculated for those species that were represented by at least two specimens using MEGA5 software (Tamura et al. 2011). For a group of birds that expressed a larger than expected intraspecific variation, the warblers, we created a phylogenetic tree and created a haplotype network. We chose GTR+G+I as the best-fitting model of nucleotide substitution based on its Akaike’s information criterion as implemented in JModelTest v0.1.1 (Posada 2008). A maximum likelihood (ML) tree was constructed in PAUP* v4.0b10 (Swofford 2002) using a heuristic search with the tree-bisection-reconnection branch-swapping algorithm and random addition of taxa. Relative branch support was evaluated with 500 bootstrap replicates (Felsenstein 1985). A minimum spanning haplotype network was constructed using a statistical parsimony network construction approach as implemented in TCS software package (Clement et al. 2000). This programme calculates the number of mutational steps by which pairwise haplotypes differ and computes the probability of parsimony (Templeton et al. 1992) for pairwise differences until the probability exceeds 0.95. The number of mutational differences associated with the probability just before the 0.95 cut-off point is then the maximum number of mutational connections between pairs of sequences justified by the parsimony criterion; these justified connections are applied in the haplotype network (Clement et al. 2000).

Results

A total of 387 sequences for 141 species (representing at least 158 taxa) were retrieved, including 52% of the breeding bird species in the Netherlands (Supplementary table 1). The average number of sequences per species was 3.36 (range 1-13), with 83 species (59%) represented by more than two sequences. The mean K2P-divergence within species bears no significant relationship with sample sizes, i.e. number of sequences per species (R2 = 0.001, p = 0.465). The mean intraspecific K2P-distance was 0.29% (range 0-8.68%) some 30 times lower than the mean intrageneric K2P-distances (9.54%, range 0-27.71%) (Table 1, Figure 1).
Table 1.

Comparisons of K2P-pairwise distances within various taxonomic levels for 83 species of birds from the Netherlands for which two or more sequences were available. Distances are expressed in percentages.

IndividualsTaxaComparisonsDistances
MinimumMean ± S.E.M.Maximum
Within Species3408380500.294±0.0018.683
Within Genera2032379409.544±0.00415.849
Within Families2822025195.80914.467±0.00120.473
Figure 1.

Comparisons of K2P-pairwise distances based on the COI gene of 141 species of birds from the Netherlands, showing a clear barcoding gap. Interspecific distances are indicated with light grey bars and intraspecific distances with dark grey bars. Left Y-axis: numbers of intraspecific comparisons; Right Y-axis: numbers of interspecific comparisons.

Comparisons of K2P-pairwise distances based on the COI gene of 141 species of birds from the Netherlands, showing a clear barcoding gap. Interspecific distances are indicated with light grey bars and intraspecific distances with dark grey bars. Left Y-axis: numbers of intraspecific comparisons; Right Y-axis: numbers of interspecific comparisons. Comparisons of K2P-pairwise distances within various taxonomic levels for 83 species of birds from the Netherlands for which two or more sequences were available. Distances are expressed in percentages. In general, 95% of species (134 species) showed a unique DNA barcode (these included the 58 species for which we only sequenced single individuals), while six congeneric species shared the same barcode and the mean intraspecific distance of them fell well below the threshold of species based on distance-based criterion (Hebert et al. (2003) 10 × rule). These congeneric species mostly included circumpolar species with close morphological similarities (Table 2).
Table 2.

Bird species (Charadriiformes) from the Netherlands with one or more shared DNA barcodes (K2P-distances of 0%). For a detailed breakdown of the individual samples involved see Appendix – Table 2.

FamilySpeciesNearest speciesMean K2P-distance (%)
LaridaeHerring Gull Larus argentatusYellow-legged Gull Larus michahellis0.14
Lesser Black-backed Gull Larus fuscusCaspian Gull Larus cachinnans0
Iceland Gull Larus glaucoidesCaspian Gull Larus cachinnans0
Glaucous Gull Larus hyperboreusYellow-legged Gull Larus michahellis0.58
Yellow-legged Gull Larus michahellisCaspian Gull Larus cachinnans0
StercorariidaeGreat Skua Stercorarius skuaPomarine Skua Stercorarius pomarinus0.30
Bird species (Charadriiformes) from the Netherlands with one or more shared DNA barcodes (K2P-distances of 0%). For a detailed breakdown of the individual samples involved see Appendix – Table 2.
Supplementary table 2.

Bird species (gulls and skuas ) from the Netherlands with low (< 1.1%) K2P-mean intraspecific distances.

Collection number and speciesCollection number and speciesDistance (%)
#ZMA58835Larus michahellis#Tissue327Larus fuscus0
#ZMA58835Larus michahellis#Tissue432Larus fuscus0
#ZMA58835Larus michahellis#ZMA55932Larus fuscus0
#ZMA58835Larus michahellis#ZMA56230Larus fuscus0
#ZMA64547Larus cachinnans#Tissue327Larus fuscus0
#ZMA64547Larus cachinnans#Tissue432Larus fuscus0
#ZMA64547Larus cachinnans#ZMA55932Larus fuscus0
#ZMA64547Larus cachinnans#ZMA56230Larus fuscus0
#ZMA64547Larus cachinnans#ZMA58835Larus michahellis0
#ZMA58921Larus argentatus#ZMA55932Larus fuscus0.14
#ZMA58921Larus argentatus#ZMA58835Larus michahellis0.14
#ZMA58921Larus argentatus#Tissue432Larus fuscus0.15
#ZMA58921Larus argentatus#ZMA56230Larus fuscus0.15
#ZMA64547Larus cachinnans#ZMA58834Larus fuscus0.15
#ZMA64547Larus cachinnans#ZMA58921Larus argentatus0.15
#ZMA58921Larus argentatus#Tissue327Larus fuscus0.16
#ZMA55932Larus fuscus#Tissue433Larus argentatus0.29
#ZMA58835Larus michahellis#Tissue433Larus argentatus0.29
#Tissue433Larus argentatus#Tissue432Larus fuscus0.30
#ZMA56230Larus fusca#Tissue433Larus argentatus0.30
#ZMA64545Stercorarius skua#ZMA55929Stercorarius pomarinus0.30
#ZMA58836Larus glaucoides#Tissue432Larus fuscus0.31
#ZMA58836Larus glaucoides#ZMA55932Larus fuscus0.31
#ZMA58836Larus glaucoides#ZMA56230Larus fuscus0.31
#ZMA58836Larus glaucoides#ZMA58835Larus michahellis0.31
#ZMA64547Larus cachinnans#Tissue433Larus argentatus0.31
#ZMA64547Larus cachinnans#ZMA58836Larus glaucoides0.31
#Tissue433Larus argentatus#Tissue327Larus fuscus0.32
#ZMA58836Larus glaucoides#Tissue327Larus fuscus0.32
#ZMA64545Stercorarius skua#Tissue211Stercorarius pomarinus0.43
#ZMA58835Larus michahellis#ZMA58834Larus fuscus0.45
#ZMA58836Larus glaucoides#ZMA58834Larus fuscus0.46
#ZMA58921Larus argentatus#ZMA58836Larus glaucoides0.46
#ZMA56221Larus hyperboreus#ZMA55932Larus fuscus0.58
#ZMA58835Larus michahellis#ZMA56221Larus hyperboreus0.58
#ZMA56221Larus hyperboreus#Tissue432Larus fuscus0.60
#ZMA56230Larus fuscus#ZMA56221Larus hyperboreus0.60
#ZMA58921Larus argentatus#ZMA58834Larus fuscus0.60
#ZMA64547Larus cachinnans#ZMA56221Larus hyperboreus0.61
#ZMA58836Larus glaucoides#Tissue433Larus argentatus0.62
#ZMA56221Larus hyperboreus#Tissue327Larus fuscus0.64
#ZMA58921Larus argentatus#ZMA56221Larus hyperboreus0.73
#ZMA58834Larus fuscus#Tissue433Larus argentatus0.75
#ZMA56221Larus hyperboreus#Tissue433Larus argentatus0.87
#ZMA58836Larus glaucoides#ZMA56221Larus hyperboreus0.93
#ZMA58834Larus fuscus#ZMA56221Larus hyperboreus1.06
Although most species possessed low intraspecific distances, one species showed high intraspecific K2P-distances clearly above the threshold of 2 to 3 per cent sequence divergence in our data set. This is the Lesser Whitethroat PageBreak, with a mean interspecific divergence of 5.76% and a maximum interspecific distance of 8.68%. Two subspecies occur in the Netherlands, i.e. the Western Lesser Whitethroat and, as a migrant, the Northeastern Lesser Whitethroat . Both are morphologically somewhat distinct, with compared to the nominate having a paler top of the head, separated from face by a white supercilium, and geographically the nominate occupies the western part of the species range and the eastern part. A maximum likelihood tree for these two taxa based on K2P-model is presented in Figure 2. Two different haplotype networks, one each for and were recovered by TCS (Figure 3), and given the large genetic distances between their haplotypes, the two taxa are not included in the same haplotype network.
Figure 2.

Phylogenetic relationships of two putative subspecies of Lesser Whitethroat, i.e. the Western Lesser Whitethroat and the Northeastern Lesser Whitethroat from the Netherlands, based on analysis of 694 bp of the mitochondrial cytochrome c oxidase subunit I gene (COI). Bootstrap values are given for the maximum likelihood (ML) analysis.

Figure 3.

Haplotype networks constructed with statistical parsimony based on 694 bp of the mitochondrial cytochrome c oxidase subunit I gene (COI) of the group (25 individuals). Each circle represents one haplotype; size of circles is proportional to haplotype frequency.

Phylogenetic relationships of two putative subspecies of Lesser Whitethroat, i.e. the Western Lesser Whitethroat and the Northeastern Lesser Whitethroat from the Netherlands, based on analysis of 694 bp of the mitochondrial cytochrome c oxidase subunit I gene (COI). Bootstrap values are given for the maximum likelihood (ML) analysis. Haplotype networks constructed with statistical parsimony based on 694 bp of the mitochondrial cytochrome c oxidase subunit I gene (COI) of the group (25 individuals). Each circle represents one haplotype; size of circles is proportional to haplotype frequency.

Discussion

We here present the results of a modest effort to barcode the avifauna of the Netherlands. In terms of DNA barcoding of birds, the Netherlands form the southernmost part of one of the most densely sampled regions globally (Lijtmaer et al. 2012: figure 1). In addition, many of the species that overwinter in the country originate equally well-sampled regions to the north. As such our study adds to a growing number of studies allowing us to build up comprehensive public libraries of bird barcodes. Combined these allow us to explore new lines of scientific inquiry and practical applications (Hebert et al. 2010, Lijtmaer et al. 2012, but see Ebach and Carvalho 2010). The collection of our samples was done as part of the museum’s standard collection manPageBreakagement of newly obtained material, and as such sample collection was inexpensive and required little effort in terms of manpower. All birds were collected and processed in the Netherlands and did not require specific permits other than the ones already required to curate the collections. Recently, Taylor and Harris (2012) expressed the opinion that proponents of DNA barcoding consistently fail to recognize its limitations (including, but not restricted to, the functioning of COI as a universal barcoding gene, whether its use is to be restricted to species identification only or whether it has a role in species discovery and delimitation and the failure to have sufficient systems in place to deal with the large amounts of data generated), do not evolve their methodologies, and do not embrace the possibilities that next-generation sequencing offers. We agree that DNA barcoding will not offer a panacea for all the issues Taylor and Harris (2012) raised, or indeed some of its earlier critics (Will et al. 2005, Moritz and Cicero 2004) but we point out that for this was probably never the intention of DNA barcoding when envisaged some ten years ago. Irrespective of the aims and goals of DNA barcoding as a ‘global enterprise’ (Ebach and Carvalho 2010), we found it a useful tool in our studies on birds (cf. Baker et al. 2009). The bird collection of the Zoological Museum Amsterdam, and our sample reported in this study, was well-curated by knowledgeable staff, with a very high degree of taxonomic certainty attached to each individual specimen. We see immense value to having a DNA barcoding dataset linked to this reference collection. As such this work has added to the growing library of DNA barcodes of bird species of the world and subsequent improvement in our knowledge of biodiversity. The mean intraspecific divergences found in the birds of the Netherlands (0.29%, based on 147 species) is congruent with that of for instance Argentina (0.24%, 500 species), North America (0.23%, 643 species) and the Holarctic (0.24%, 566 species) (Kerr et al. 2009a, Aliabadian et al. 2009). More importantly, like other studies on birds, the efficiency of DNA barcode sequences to identify species is high, showing a clear barcoding gap (Figure 1), and overall it seems that for birds typically 95% or more of the species can be identified (Hebert et al. 2003, Johnsen et al. 2010, Kerr et al. 2009a, b, Yoo et al. 2006, Aliabadian et al. 2009). Most DNA barcoding studies of birds flag a small number of deep divergences (e.g. Johnsen et al. 2010, Kerr et al. 2009b, Aliabadian et al. 2009, Nijman and Aliabadian 2013), in our study involving the two subspecies of PageBreak, where the two lineages diverge almost 6%. Similar results were found by Olsson et al. (2013) when analyzing the cytochrome b gene for these two taxa, with distances in the order of 11-14%. Based on COI sequences, the two taxa appear to be sister taxa, albeit with a relatively low support (Figure 3), but no other members of the were included in the analysis. In contrast, having included a range of other members of this complex, Olsson et al. (2013) found curruca and blythi not to be sister taxa. Olsson et al. (2013: 81) concluded that while “due to their morphological similarity it is unclear where their ranges meet, [o]ur data suggest that blythi is a valid taxon, not closely related to curruca. It has its closest relatives to the south-east [Asia], and may have colonised the eastern taiga from this direction, ultimately coming into contact with curruca”. When it comes to drawing conclusion from their work with respect to taxomomy, Olsson et al. (2013) were, in our view correctly, cautious. They noted that the complex comprised up to 13 taxa with little consensus as to circumscription and taxonomic rank. Of these, morphologically some taxa are very similar, including and , and the apparent conflict between morphology and phylogeny (based in their case on cyt b and in our study on COI) can be explained in different ways. One would be to accept the single mitochondrial gene trees at face value in which case the morphological similarities in pelage coloration may be a result of parallel evolution possibly in response to adaptations to similar temperate forest habitats – both taxa are then best treated as different species. Alternatively, the mitochondrial gene trees do not reflect the species tree and, based on morphological similarities, and are best treated as sister taxa (either as one or two species). Their divergent position on the mitochondrial gene tree, and the large genetic distances between these taxa, are due to ancient mitochondrial introgression. In either case, working with single mitochondrial markers cannot not resolve this issue and a more integrative approach ideally involving the analysis of nuclear genes is paramount. Those cases where we found species sharing the same DNA barcodes were small in number but not insignificant. Seven of the eight cases involved closely related gulls with partially overlapping ranges, or allopatric distributions, that are part of a recent Holarctic radiation (Liebers-Helbig et al. 2010). Alternatively, the sharing of DNA barcodes may be due to hybridization or, perhaps less likely, misidentification. Likewise, skuas are part of a recent radiation with, just like gulls, frequent hybridization between species (Ritz 2009). DNA barcoding using a relative slowly evolving maternally inherited gene, with, compared to other mitochondrial genes, small amounts of rate heterogeneity (Pacheco et al. 2011), will, on its own, not be able to differentiate between these taxa. We conclude that DNA barcoding approach makes it possible to identify known Dutch bird species with a very high resolution. Although some species were flagged for further detailed taxonomic investigation, our study reaffirms once more that a short segment of COI gene can be used to handle large number of taxa and aid in detecting overlooked taxa and hybridizing species with low deep barcode divergences.
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