- Open Access
Molecular species identification of Central European ground beetles (Coleoptera: Carabidae) using nuclear rDNA expansion segments and DNA barcodes
© Raupach et al; licensee BioMed Central Ltd. 2010
- Received: 8 March 2010
- Accepted: 13 September 2010
- Published: 13 September 2010
The identification of vast numbers of unknown organisms using DNA sequences becomes more and more important in ecological and biodiversity studies. In this context, a fragment of the mitochondrial cytochrome c oxidase I (COI) gene has been proposed as standard DNA barcoding marker for the identification of organisms. Limitations of the COI barcoding approach can arise from its single-locus identification system, the effect of introgression events, incomplete lineage sorting, numts, heteroplasmy and maternal inheritance of intracellular endosymbionts. Consequently, the analysis of a supplementary nuclear marker system could be advantageous.
We tested the effectiveness of the COI barcoding region and of three nuclear ribosomal expansion segments in discriminating ground beetles of Central Europe, a diverse and well-studied invertebrate taxon. As nuclear markers we determined the 18S rDNA: V4, 18S rDNA: V7 and 28S rDNA: D3 expansion segments for 344 specimens of 75 species. Seventy-three species (97%) of the analysed species could be accurately identified using COI, while the combined approach of all three nuclear markers provided resolution among 71 (95%) of the studied Carabidae.
Our results confirm that the analysed nuclear ribosomal expansion segments in combination constitute a valuable and efficient supplement for classical DNA barcoding to avoid potential pitfalls when only mitochondrial data are being used. We also demonstrate the high potential of COI barcodes for the identification of even closely related carabid species.
- Nuclear Marker
- Ground Beetle
- Incomplete Lineage Sorting
- Expansion Segment
- Ground Beetle Species
In times of climate change and massive habitat destruction, the reliable identification of species represents a pivotal component for biodiversity studies and conservation planning. However, routine identification of many species can be difficult and time-consuming, often requiring highly specialized knowledge, and therefore represents a limiting factor in biodiversity assessments and ecological studies [1–3]. In addition to this, the identification of larval stages or fragments of organisms using conventional morphological methods constitutes an impossible task for many taxa [4–6].
In this context, the use of DNA sequences represents a promising and effective tool for fast and accurate species identification [7–9]. Animal mitochondrial DNA exhibits several characteristics that makes it attractive for molecular taxonomy, namely the generally high substitution rates, the almost exclusively maternal inheritance, and the lack of recombination [10, 11]. Moreover, because of uniparental inheritance and haploidy, mtDNA has a four-fold smaller effective population size compared to nuclear DNA, leading to faster lineage sorting . A 650 base pair fragment of the 5' end of the mitochondrial cytochrome c oxidase I (COI) gene was proposed as global standard, the so-called "barcode region" for animals [7, 13]. This barcode approach has been successfully applied in various vertebrate and invertebrate taxa for species delimitation and identification [14–19]. Subsets of the standard COI barcode have been shown to be effective for species-level identification in specimens whose DNA is degraded [20, 21]. Nevertheless, the exclusive use of mitochondrial gene fragments is not without risks. The concept of DNA barcoding relies on low levels of mtDNA variation within species in combination with clear genetic differentiation between species, the so-called barcoding gap. Various studies found high levels of overlap in intra- and interspecific genetic distances for some selected taxa [22, 23]. DNA barcoding can also overestimate the number of species when nuclear mitochondrial pseudogenes (numts) are coamplified [24–27]. Introgression events and/or incomplete lineage sorting can cause trans-specific polymorphisms in mitochondrial DNA, contorting the mitochondrial variability of studied organisms . Such events have been demonstrated for various arthropod taxa, for example insects [29–33] or spiders [34, 35]. Heteroplasmy events can also confuse the identification system also , but are rare . Finally, maternally inherited endosymbionts such as the α-proteobacteriae Wolbachia or Rickettsia may cause linkage disequilibrium with mtDNA, resulting in a homogenization of mtDNA haplotypes [38–40].
All these problems show that standardised and complementing nuclear markers are necessary if a provisional species, uncovered using COI barcodes, is to be considered as species. In this context, nuclear ribosomal genes may represent potential supplementary markers for species identification. Nuclear ribosomal genes are generally considered to be highly conserved, but are actually composed of a mixture of conserved and variable regions that are organized in clusters that contain hundreds of copies per haploid genome. In metazoan taxa, these tandem rDNA units are highly uniform within a species [41–44], but differ between closely related species [e.g. [45–49]]. Until now, there have only been a few studies using nuclear rDNA sequences for DNA taxonomy: complete small ribosomal subunit DNA (18S rDNA) sequences were used to identify invertebrate taxa [1, 5], while the variable D1-D2 or D3-D5 regions of the large ribosomal subunit DNA (28S rDNA) were found to be suitable markers for various fungi [50, 51], arthropods [2, 52, 53] freshwater meiobenthic communities , and a broad range of metazoan taxa . The main limitation to these approaches lies in the length of the analysed sequences (usually >>1000 base pairs (bp)), preventing a simple amplification of degraded DNA (e.g. from collection specimens in museums) and, most important, efficient use in large-scale biodiversity studies . Nevertheless, it should be also noted that various potential problems can be associated with the use of ribosomal genes, for example intragenomic variations among rRNA gene copies. As far as we know, very few cases of intragenomic variations have been observed for Metazoa until now [57–63]. Multiple variants of the 18S rRNA gene were found in a dinoflagellate , a platyhelminth , and the Lake sturgeon Acipenser fulvescens[66, 67].
While core elements of the eukaryotic ribosomal RNA genes are considered to be essential for ribosome functions that evolve slowly and evenly [68, 69], the so-called divergence or expansion segments show a high variability in primary sequence and length between even closely related species as a consequence of DNA slippage-like processes [70–73]. In most cases, expansion segments have highly conserved flanking sites [68, 69, 74]. Although the exact functions remain elusive, various studies of eukaryotic ribosomes provide some clues about the functional aspects of expansion segments in rRNAs [75–77], including intersubunit bridges and scaffolds allowing proteins to bind to ribosomes . In addition, some of their structural features seem to be important for the stability of rRNA [75, 79, 80].
Following these considerations, we analysed and compared the usefulness of nuclear ribosomal expansion segments and COI barcodes for the molecular identification of Central European carabid beetles. The Carabidae are among the largest and most diverse insect families, with no less than an estimated 40,000 described species that inhabit all terrestrial habitat types from the sub-arctic to wet tropical regions [81, 82]. This diversity and wide distribution, along with the predominance of these beetles in a large variety of habitats, has resulted in a considerable interest in many aspects of their biology, including systematics, phylogeny, biogeography, ecology and evolution [83–87]. Ground beetles show different levels of habitat selectivity, ranging from generalists to specialists, and therefore carabid assemblages can be used as highly valuable bioindicators for characterizing disturbances in various habitats such as forests, meadows or fens . Due to the continuous and intensive study of ground beetles in Central Europe, their taxonomic classification is well-established. In Central Europe, more than 750 species are known . Nevertheless, the identification of many species and especially of larval stages can be very difficult as a consequence of high morphological variability within species and due to the existence of sibling species.
Our study examined the effectiveness and suitability of one mitochondrial (COI) and three nuclear markers, the expansion segments V4 and V7 of the 18S rDNA and the D3 expansion segment of the 28S rDNA as molecular identification tools for 75 selected ground beetle species out of 26 genera from Central Europe. We compared intra- and interspecific divergences using Kimura 2-parameter (K2P) distances and uncorrected p-distances between all analysed COI sequences and p-distances for all rDNA gene fragments of many closely related species, e.g. Agonum emarginatum/viduum, Clivina collaris/fossor, or Harpalus affinis/rubripes. Furthermore, we analysed the discrimination capacity of the used marker systems within two well-known pairs of sibling species, Bembidion lampros/properans[90–94] and Pterostichus nigrita/rhaeticus[95–98].
We examined 344 specimens representing 75 species and 28 genera of Central European ground beetles. The mitochondrial COI region and all three selected nuclear regions were successfully amplified and sequenced in all cases, confirming the universality of the selected primers for ground beetles. While the majority of the analysed beetles had been collected 1-2 years ago and were preserved in 96% ethanol, it was also possible to generate full length sequences with tissue samples of pinned specimens up to 12 years old. There was no indication of numt amplification for the COI dataset. Most importantly, we found no intragenomic or intraspecific variations within the analysed nuclear rDNA markers.
The COI dataset
Interspecific nucleotide divergences of all four markers, given in cases in which at least one of the analysed markers did not resolve the species pair
28S: D3 +18S: V4+V7
0.0793 - 0.0828
0.0506 - 0.0507
0.0809 - 0.0861
0.0677 - 0.0713
0.0713 - 0.0714
Anisodactylus binotatus/Harpalus rubripes
0.0723 - 0.0744
0.1245 - 0.1283
0.0446 - 0.0503
0.109 - 0.1126
0.0739 - 0.079
0.0706 - 0.0723
0 - 0.038
0.0573 - 0.064
0.0572 - 0.0657
0.0442 - 0.0475
0.0865 - 0.0886
The rDNA datasets
The issue of choosing thresholds for species delineation is a primary concern for molecular taxonomy , particularly when intraspecific variation can be shown to be greater than interspecific variation. In the case of COI, a species identification threshold has been suggested that amounts to ten times the arithmetic mean of intraspecific distances , which is usually low (less than 1%) and rarely more than 2% across a broad range of taxa [7, 13, 20, 100–104]. However, this "10-fold rule" has been questioned in subsequent studies [105–107], because it has no strong biological background and undoubtedly cannot become a universal, invariable criterion to species delineation across all taxa [24, 25, 107]. Another approach comprises the analysis of mtDNA branching times using a general mixed Yule-coalescent (GMYC) model estimates the species boundary by identifying independently evolving lineages as a transition from coalescent to speciation branching patterns on a phylogenetic tree . First case studies reveal the potential of this approach [108–111], but former bottleneck events or selective sweeps can become problematic in reconstructing the coalescence of mtDNA lineages and therefore for species delineation. It should be also kept in mind that such methods are also sensitive to introgression and incomplete lineage sorting, and cannot be used analyzing a high number of specimens.
Based on our data, lowest interspecific COI distances were observed between Agonum emarginatum and Agonum viduum (K2P distances: 3.14%, p-distances: 3.06%). With one exception (Nebria hellwigii), all intraspecific distances were below these values. Our results confirm the high potential of COI barcodes for species identification of even closely related carabid species although it was not possible to discriminate the two species of the Pterostichus nigrita/rhaeticus species complex (Figure 2, Figure 3, Table 1). Nevertheless, it is important to study additional specimens of the already analysed species, preferable from different locations, as well as missing species have to be analysed to gain more specific insights in the intra- and interspecific COI variability of ground beetles.
For molecular species identification, the use of rDNA is not a new approach [1, 2, 5, 50–55]. However, published studies rely on the analysis of long rDNA fragments [2, 50–55] or complete rDNA genes [1, 5], currently preventing a routine use in large-scale biodiversity studies. As a consequence, our study was focused on analysing the usefulness of three short expansion segments from two different rRNA genes (18S and 28S) as supplementary molecular markers to the COI barcode region for ground beetles. In contrast to COI, the species identification threshold for all analysed rDNA marker had an amount of one base substitution, insertion or deletion. The individual identification success using the rDNA marker was limited: The D3 marker was able to discriminate 61 (81%) species, the V4 marker 57 (76%), and the V7 marker allowed an unambiguous identification of 65 (87%) species. However, the combination of all three nuclear markers provided resolution for 71 (95%) species. Only two species pairs, Clivina collaris/fossor and Pterostichus nigrita/rhaeticus, were not discriminated (Figure 6, Table 1). Summarizing all results, our data showed that COI represented the most successful molecular marker for species determination (73 = 97%) for the studied ground beetle species, closely followed by the combination of all three nuclear rDNA markers (71 = 95%).
The analysed nuclear ribosomal expansion segments show some important aspects that are quite useful in molecular species identification. Firstly, they show a significant species level genetic variability and divergence for most species when used in combination; the exclusive use of a single segment will not discriminate all analysed species. Secondly, all analysed fragments have appropriately short sequence lengths in comparison to the COI fragment, facilitating easy amplification and sequencing. Finally, highly conserved flanking sites allow the generation of primers useable for a broad range of taxa. However, it must be emphasized that the power of rDNA sequences for identifying species is limited when sister species pairs have a very recent origin, as suggested for Clivina collaris and Clivina fossor. In such cases, the analysis of COI sequences represents a more advantageous and effective approach, because substitution rates of mitochondrial genes are, in general, higher than those of nuclear rRNA genes. Nevertheless, the quality of other expansion segments to discriminate species, especially closely related ones, should be also tested in further studies.
Our analysed data revealed some important insights into the genetic variability of nuclear genes and mitochondrial genes of ground beetles that are discussed in more detail.
The sibling species pair Bembidion lampros/properans - molecular data confirm two distinct species
Although overall morphological differences between both species are small, for example characteristic frontal furrows, the structure of the elytral striae and shape of the pronotum [98, 102, 112], both Bembidion species can be clearly distinguished by all molecular markers used. Interspecific K2P distances for COI ranged from 9 to 9.4% (p-distances: 8.4-8.8%), while the number of sequence substitutions ranged from three (V4) to four (V7, D3) for the analysed nuclear markers. For all four markers, sequence divergence between both species lay considerably above any of the thresholds suggested in the literature or our own study, indicating that Bembidion lampros and Bembidion properans are in fact two distinct species.
The sibling species Pterostichus nigrita/rhaeticus - speciation in progress?
Clivina collaris/fossor - recently evolved distinct species?
The ground beetle Clivina collaris represents the sister species of Clivina fossor and has, in the past, often been regarded as a variety of the former . However, Clivina collaris is somewhat smaller and flatter than Clivina fossor, and various other morphological traits (the shape of the elytra, genital morphology, details of the inner armature and different ecological preferences) clearly support the existence of two closely related but distinct species [89, 115]. Kimura 2-parameter distances of the COI sequences ranged from 4.5 to 5.3% (p-distance: 4.4-5.1%), while all three nuclear datasets revealed no sequence variation, indicating a possible recent separation of both species.
Nebria hellwigii - more than one species?
The distribution of Nebria hellwigii is restricted to the alpine and high alpine regions of the Eastern Alps . Based on genital morphology, a few subspecies are discussed . Our data revealed two distinct COI haplotype lineages without intermediates and K2P distances of 3.8% (p-distance: 3.7%) that are higher than the lowest interspecific distances (K2P distances: 3.14%, p-distances: 3.06%, see above). However, both lineages were also identified by the nuclear V7 marker (Figure 6), giving evidence for the existence of a sibling species pair with sympatric distribution. Additional specimens have to be studied to evaluate these first results more in detail.
Carabus nemoralis - indication of introgressive hybridization events and/or incomplete lineage sorting
A European wide-temperate and highly eurytopic species, Carabus nemoralis is widely distributed throughout Central and Northern Europe . Beside significant shape variations between different populations [116, 117], population genetic analyses using microsatellites revealed a complex genetic differentiation [118, 119]. For this species, our COI data revealed two distinct haplotype lines with K2P distances of 2.7% (p-distances: 2.6%), without intermediates. However, all nuclear markers show no variation. Although we cannot exclude a linkage disequilibrium caused by inherited endosymbionts as well as heteroplasmy at the moment, introgressive hybridization events with other closely related Carabus species or incomplete lineage sorting represent the most plausible explanation for the observed high level of mitochondrial genetic differentiation. Both phenomena are well-known from other Carabus species and closely related genera [29–31, 120]. In this case, the only use of COI sequences for molecular taxonomy using a threshold of 2% or below (see above) will clearly overestimate species diversity.
Based on the analyses of our various datasets, we have come to the conclusion that nuclear ribosomal expansion segments can constitute a valuable and efficient supplement for classical DNA barcoding studies based on mitochondrial COI sequences. While the individual identification success using the rDNA marker was limited, the combination of all three nuclear markers provided resolution for 71 (95%) of the studied 75 ground beetle species. Using COI, 73 species (97%) of the studied ground beetle species were accurately identified. Our study confirms the high potential of DNA sequence data for successful species identification of even closely related ground beetle species.
DNA extraction, amplification and sequencing
For our study, a total number of 344 specimens belonging to 75 different species out of 26 carabid genera were analysed (Additional file 4). All beetles were identified by one of the authors of this article (KH). The characterization of intraspecific variation, introgression or other phenomena as well as the detection of cryptic species cannot be accomplished with only one individual per species; therefore at least two specimens per species and, if possible, specimens from different locations were analysed. The number of studied specimens per species ranged from a minimum of two to a maximum of 13, with four individuals per species on average (Additional file 5).
Genomic DNA samples were prepared from fresh beetles, beetles preserved in 96% ethanol or pinned museum specimens. Total genomic DNA was extracted from dissected legs of specimens or complete specimens using the QIAmp© Tissue Kit (Qiagen GmbH, Hilden), following the manufacturers extraction protocol. Specimens are deposited in the collection of the Zoologisches Forschungsmuseum Alexander Koenig (ZFMK), Bonn, Germany. In addition, all analysed DNA extracts are deposited in the DNA bank of the ZFMK as part of the DNA Bank Network (http://www.dnabank-network.org).
In total, 344 sequences were newly generated for this study for all analysed gene fragments. GenBank accession numbers, tissue voucher depositories and collection site are listed in Additional file 4. Three sequences of one outgroup taxon (the cupedid beetle Priacma serrata, COI: EU839762, 18S rDNA: EU797411, 28S rDNA: EU797380) were obtained from GenBank. All 1356 amplification reactions were carried out on a Thermal Cycler GeneAmp© PCR System 2700/2720 (Applied Biosystems, Darmstadt) in 20 μl volume, containing 4 μl Q-Solution, 2 μl 10 × Qiagen PCR buffer, 2 μl dNTPs (2 mmol/μl), 0.1 μl of each primer (both 50 pmol/μl), 1 μl of DNA template with an amount between 2 to 150 ng/μl, 0.2 μl Qiagen Taq polymerase (5 U/μl), and filled up to 20 μl with sterile H2O.
The PCR temperature profile for the mitochondrial COI fragment (approx. 650 bp) using the primers LCO1480 and HCO2198  consisted of an initial denaturation at 94°C (5 min), followed by 38 cycles at 94°C (denaturation, 45 s), 48°C (annealing, 45 s), 72°C (extension, 80 s), and a final extension at 72°C (7 min). Approximately 200 bp of the D3 region was amplified with the forward primer CD3F and reverse primer CD3R, using a PCR protocol of 94°C for 5 min (initial denaturation), 32 cycles with 94°C denaturation for 45 s, 52°C annealing for 45 s, and 72°C extension for 80 s, followed by a final 72°C extension for 7 min. A 360-510 bp region of the V4 gene fragment was amplified with the primer pair CV4F and CV4R. The PCR temperature protocol was 94°C for 5 min (initial denaturation), 32 cycles with 94°C denaturation for 45 s, 66°C annealing for 45 s, and 72°C extension for 2 min, followed by a final 72°C extension for 8 min. Finally, a 400-500 base pair region of the V7 region of the 18S rDNA was amplified using the forward primer CV7F and either the reverse primer CV7R, with the following PCR conditions: 94°C for 5 min (initial denaturation), 32 cycles with 94°C denaturation for 45 s, 68°C annealing for 45 s, and 72°C extension for 2 min, followed by 72°C extension for 8 min. All primers used in amplification and sequencing for all four gene fragments as well as all used PCR temperature profiles are provided in Additional file 6.
Negative and positive controls were included with each round of reactions. Two μl of amplified product were verified for size conformity by electrophoresis in a 1% agarose gel with ethidium bromide using commercial DNA size standards, while the remaining PCR product was purified with the QIAquick© PCR Purification Kit (Qiagen GmbH, Hilden). Purified PCR products were cycle sequenced and sequenced in both directions at a contract sequencing facility (Macrogen, Seoul, Korea) on an ABI3730 XL automatic DNA sequencer, using the same primers as used in PCR. Trace files revealed no potential ambiguities indicated by multiple peaks in the sequences. Double stranded sequences were assembled with the SeqMan™ II program (DNASTAR, Inc., Konstanz, Germany). BLAST searches were performed to confirm the identity of all new sequences . All aligned COI sequences were translated to amino acid sequences to check for nuclear mitochondrial pseudogenes (numts) using BioEdit 220.127.116.11 .
All sequences of each marker were aligned using MUSCLE version 3.6  with default settings, generating four individual datasets. To analyse the intra- and interspecific genetic variability of species, uncorrected pairwise distances (p-distances) and Kimura 2-parameter (K2P) distances for the COI sequences, and p-distances for all rDNA marker were obtained using PAUP*4.0b10 . Interspecific K2P distances of the COI data set were plotted as histogram (Figure 1), while p-distances of all rDNA data sets were visualized using box-and-whiskers-plots (Figure 5) , which represent the overall shape of the dataset. Boxes indicate mean, 25th and 75th percentile, while whiskers show 10th and 90th percentile, respectively. In contrast to protein-coding genes, the presence of multiple indels in alignments of ribosomal expansion regions makes accurate homology assessments across distantly related taxa difficult or even impossible. To accommodate this problem, all nuclear marker sequences of genera with at least two analysed species were aligned on genus level independent from all other taxa. Subsequently, sequence divergence calculations were carried out using PAUP*4.0b10 (Figure 5). Apart from this, the frequencies of the different lengths of the rDNA expansion fragment lengths were plotted as histogram (Figure 4). All boxplots and histograms were calculated using PAST version 1.94b . We also generated a Klee diagram (Figure 3) based on indicator vector correlations for analyzing and displaying affinities of COI haplotypes [128, 129]. Using this method, uncorrected COI haplotype sequences were transformed into digital indicator vectors using M = 1 sequence/species, generating unique representations of each sequence in the chosen vector space [128, 129]. A false-color map depicts correlations among the remaining sequences and the species indicator vectors. The succession of species for this approach is provided in Additional file 7.
Neighbor-joining cluster analyses  were employed for graphical representation of patterns of nucleotide divergences among the individual specimens of the COI dataset (Figure 2), for each single rDNA dataset (D3: Additional file 1; V4: Additional file 2; V7: Additional file 3), and for a combined dataset including all three nuclear markers (Figure 6), using PAUP*4.0b10. The neighbor-joining analysis of the COI data set was based on K2P distances. Due to the fact that expansion segments cannot be aligned unambiguously in many cases, only p-distances were used for all four rDNA marker topologies. Bootstrap support values were obtained by re-sampling and analyzing 10,000 replicates for the COI data set. All alignments can be obtained from the first author upon request. In addition, a statistical parsimony network was constructed for the COI data sets of Pterostichus nigrita and Pterostichus rhaeticus with TCS 1.21 , using default settings (Figure 7).
It should be kept in mind that a deep phylogenetic signal is not of central importance for molecular (alpha) taxonomy, as it has been pointed out by various authors [132–134]. Instead of this, DNA barcoding and molecular taxonomy focus on species delineation and identification.
We would like to thank Christina Blume, Claudia Etzbauer and Birthe Thormann for their laboratory assistance. We thank Bernhard Misof and Thomas Wagner for donating specimens and Ortwin Bleich for the permission to use photos of carabid specimens from http://www.eurocarabidae.de. We are very grateful to Lawrence Sirovich and Yu Zhang for their help generating the Klee diagram. We thank Monique Wengler for useful comments on improving language and style. We would also like to thank two anonymous referees for their helpful and valuable amendments and comments. Michael J. Raupach was supported by a research grant from the German Science Foundation (DFG) to Johann-Wolfgang Wägele (INST 427/1-1).
- Floyd R, Abebe E, Papert A, Blaxter M: Molecular barcodes for soil nematode identification. Mol Ecol. 2002, 11: 839-850. 10.1046/j.1365-294X.2002.01485.x.PubMedGoogle Scholar
- Monaghan MT, Balke M, Gregory TR, Vogler AP: DNA-based species delineation in tropical beetles using mitochondrial and nuclear markers. Philos T Roy Soc B. 2005, 360: 1925-1933. 10.1098/rstb.2005.1724.Google Scholar
- Hajibabaei M, Singer GAC, Clare EL, Hebert PDN: Design and applicability of DNA arrays and DNA barcodes in biodiversity monitoring. BMC Biol. 2007, 5: 24-10.1186/1741-7007-5-24.PubMed CentralPubMedGoogle Scholar
- Miller KB, Alarie Y, Wolfe GW, Whiting MF: Association of insect life stages using DNA sequences: the larvae of Philodytes umbrinus (Motschulsky) (Coleoptera: Dytiscidae). Syst Entomol. 2005, 30: 499-509. 10.1111/j.1365-3113.2005.00320.x.Google Scholar
- Caterino MS, Tishechkin AK: DNA identification and morphological description of the first confirmed larvae of Heteriinae (Coleoptera: Histeridae). Syst Entomol. 2006, 31: 405-418. 10.1111/j.1365-3113.2006.00338.x.Google Scholar
- Tang RWK, Yau C, Ng WC: Identification of stomatopod larvae (Crustacea: Stomatopoda) from Hong Kong waters using DNA barcodes. Mol Ecol Res. 2010, 10: 439-448. 10.1111/j.1755-0998.2009.02794.x.Google Scholar
- Hebert PDN, Cywinska A, Ball SL, de Waard JR: Biological identifications through DNA barcodes. P Roy Soc Lond B Bio. 2003, 270: 313-321. 10.1098/rspb.2002.2218.Google Scholar
- Pereira F, Carneiro J, Amorim A: Identification of species with DNA-based technology: current progress and challenges. Recent Pat DNA Gene Seq. 2008, 2: 187-200. 10.2174/187221508786241738.PubMedGoogle Scholar
- Waugh J: DNA barcoding in animal species: progress, potential and pitfalls. BioEssays. 2007, 29: 188-197. 10.1002/bies.20529.PubMedGoogle Scholar
- Ballard JWO, Whitlock MC: The incomplete natural history of mitochondria. Mol Ecol. 2004, 13: 729-744. 10.1046/j.1365-294X.2003.02063.x.PubMedGoogle Scholar
- Ballard JWO, Rand DM: The population biology of mitochondrial DNA and its phylogenetic implications. Annu Rev Ecol Syst. 2005, 36: 621-642. 10.1146/annurev.ecolsys.36.091704.175513.Google Scholar
- Birky CW, Maruyama T, Fuerst PA: An approach to population and evolutionary genetic theory for genes in mitochondria and chloroplasts, and some results. Genetics. 1983, 103: 513-527.PubMed CentralPubMedGoogle Scholar
- Hebert PDN, Ratnasingham S, de Waard JR: Barcoding animal life: cytochrome c oxidase subunit 1 divergences among closely related species. P Roy Soc Lond B Bio. 2003, 270: S96-S99. 10.1098/rsbl.2003.0025.Google Scholar
- Smith MA, Fisher BL, Hebert PDN: DNA barcoding for effective biodiversity assessment of a hyperdiverse arthropod group: the ants of Madagascar. Philos T Roy Soc B. 2005, 360: 1825-1834. 10.1098/rstb.2005.1714.Google Scholar
- Clare EL, Lim BK, Engstrom MD, Eger JL, Hebert PDN: DNA barcoding of neotropical bats: species identification and discovery within Guyana. Mol Ecol Notes. 2006, 7: 184-190. 10.1111/j.1471-8286.2006.01657.x.Google Scholar
- Costa FO, deWaard JR, Boutillier J, Ratnasingham S, Dooh RT, Hajibabaei M, Hebert PDN: Biological identifications through DNA barcodes: the case of the Crustacea. Can J Fish Aquat Sci. 2007, 64: 272-295. 10.1139/F07-008.Google Scholar
- Hubert N, Hanner R, Holm E, Mandrak NE, Taylor E, Burridge M, Watkinson D, Dumont P, Curry A, Bentzen P, Zhang J, April J, Bernatchez : Identifying Canadian freshwater fishes through DNA barcodes. PLoS ONE. 2008, 3: e2490-10.1371/journal.pone.0002490.PubMed CentralPubMedGoogle Scholar
- Smith MA, Fisher BL: Invasion, DNA barcodes, and rapid biodiversity assessment using the ants of Mauritius. Front Zool. 2009, 6: 31-10.1186/1742-9994-6-31.PubMed CentralPubMedGoogle Scholar
- Zhou X, Adamowicz SJ, Jacobus LM, DeWalt RE, Hebert PDN: Towards a comprehensive barcode library for arctic life - Ephemeroptera, Plecoptera, and Trichoptera of Churchill, Manitoba, Canada. Front Zool. 2009, 6: 30-10.1186/1742-9994-6-30.PubMed CentralPubMedGoogle Scholar
- Hajibabaei M, Smith MA, Janzen DH, Rodriguez JJ, Whitfield JB, Hebert PDN: A minimalist barcode can identify a specimen whose DNA is degraded. Mol Ecol Notes. 2006, 6: 959-964. 10.1111/j.1471-8286.2006.01470.x.Google Scholar
- Meusnier I, Singer GAC, Landry JF, Hickey DA, Hebert PDN, Hajibabaei M: A universal DNA mini-barcode for biodiversity analysis. BMC Genomics. 2008, 9: 214-10.1186/1471-2164-9-214.PubMed CentralPubMedGoogle Scholar
- Meyer CP, Paulay G: DNA barcoding: error rates based on comprehensive sampling. PLoS Biology. 2005, 3: e422-10.1371/journal.pbio.0030422.PubMed CentralPubMedGoogle Scholar
- Wiemers M, Fiedler K: Does the DNA barcoding gap exist? - a case study in blue butterflies (Lepidoptera: Lycaenidae). Front Zool. 2007, 4: 8-10.1186/1742-9994-4-8.PubMed CentralPubMedGoogle Scholar
- Pamilo P, Viljakainen L, Vihavainen A: Exceptionally high density of NUMTs in the honeybee genome. Mol Biol Evol. 2007, 24: 1340-1346. 10.1093/molbev/msm055.PubMedGoogle Scholar
- Song H, Buhay JE, Whiting MF, Crandall KA: Many species in one: DNA barcoding overestimates the number of species when nuclear mitochondrial pseudogenes are coamplified. P Natl Acad Sci USA. 2008, 105: 13486-13491. 10.1073/pnas.0803076105.Google Scholar
- Buhay JE: "COI-like" sequences are becoming problematic in molecular systematic and DNA barcoding studies. J Crustacean Biol. 2009, 29: 96-110. 10.1651/08-3020.1.Google Scholar
- Hazkani-Covo E, Zeller RM, Martin W: Molecular poltergeists: mitochondrial DNA copies (numts) in sequenced nuclear genomes. PLoS Genetics. 2010, 6: e1000834-10.1371/journal.pgen.1000834.PubMed CentralPubMedGoogle Scholar
- Petit RJ, Excoffier L: Gene flow and species delimitation. Trends Ecol Evol. 2009, 24: 386-393. 10.1016/j.tree.2009.02.011.PubMedGoogle Scholar
- Sota T, Ishikawa R, Ujiie M, Kusumoto F, Vogler AP: Extensive trans-species mitochondrial polymorphisms in the carabid beetles Carabus subgenus Ohomopterus cause by repeated introgressive hybridization. Mol Ecol. 2001, 10: 2833-2847.PubMedGoogle Scholar
- Streiff R, Veyrier R, Audiot P, Meusnier S, Brouat C: Introgression in natural populations of bioindicators: a case study of Carabus splendens and Carabus punctatoauratus. Mol Ecol. 2005, 14: 3775-3786. 10.1111/j.1365-294X.2005.02714.x.PubMedGoogle Scholar
- Zhang AB, Sota T: Nuclear gene sequences resolve species phylogeny and mitochondrial introgression in Leptocarabus beetles showing trans-species polymorphisms. Mol Phyl Evol. 2007, 45: 534-546. 10.1016/j.ympev.2007.07.003.Google Scholar
- Pauls SU, Theissinger K, Ujvarosi L, Balint M, Hasse P: Patterns of population structure in two closely related, partially sympatric caddisflies in Eastern Europe: historic introgression, limited dispersal, and cryptic diversity. J N Am Benthol Soc. 2009, 28: 517-536. 10.1899/08-100.1.Google Scholar
- Cianchi R, Ungano A, Marini M, Bullini L: Differential patterns of hybridization and introgression between the swallowtails Papillo machaon and P. hospiton from Sardinia and Corsica islands (Lepidoptera, Papilionidae). Mol Ecol. 2003, 12: 1461-1471. 10.1046/j.1365-294X.2003.01813.x.PubMedGoogle Scholar
- Paquin P, Hedin MC: The power and perils of "molecular taxonomy": a case study of eyeless and endangered Cicurina (Araneae: Dictynidae) from Texas caves. Mol Ecol. 2004, 13: 3239-3255. 10.1111/j.1365-294X.2004.02296.x.PubMedGoogle Scholar
- Croucher PJP, Oxford GS, Searle JB: Mitochondrial differentiation, introgression and phylogeny of species in the Tegenaria atrica group (Araneae: Agelenidae). Biol J Linn Soc. 2004, 81: 79-89. 10.1111/j.1095-8312.2004.00280.x.Google Scholar
- Kmiec B, Woloszynska M, Janska H: Heteroplasmy as a common state of mitochondrial genetic information in plants and animals. Curr Genet. 2006, 50: 149-159. 10.1007/s00294-006-0082-1.PubMedGoogle Scholar
- Parr RL, Maki J, Reguly B, Dakubo GD, Aguirre A, Wittock R, Robinson K, Jakupciak JP, Thayer RE: The pseudo-mitoochondrial genome influences mistakes in heteroplasmy interpretation. BMC Genomics. 2009, 7: 185-10.1186/1471-2164-7-185.Google Scholar
- Dobson SL: Evolution of Wolbachia cytoplasmatic incompatibility types. Evolution. 2004, 58: 2156-2166.PubMedGoogle Scholar
- Duron O, Bouchon D, Boutin S, Bellamy L, Zhou L, Engelstädter J, Hurst GD: The diversity of reproductive parasites among arthropods: Wolbachia do not walk alone. BMC Biol. 2008, 6: 27-10.1186/1741-7007-6-27.PubMed CentralPubMedGoogle Scholar
- Jiggins FM, Hurst GDD, von der Schulenburg JHG, Majerus MEN: Two male-killing Wolbachia strains coexist within a population of the butterfly Acreae encedon. Heredity. 2001, 86: 161-166. 10.1046/j.1365-2540.2001.00804.x.PubMedGoogle Scholar
- Hillis DM, Dixon MT: Ribosomal DNA: molecular evolution and phylogenetic inference. Q Rev Biol. 1991, 66: 411-453. 10.1086/417338.PubMedGoogle Scholar
- Hillis DM, Moritz C, Porter CA, Baker RJ: Evidence for biased gene conversion in concerted evolution of ribosomal DNA. Science. 1991, 228: 308-310. 10.1126/science.1987647.Google Scholar
- Liao A: Concerted evolution: molecular mechanism and biological implications. Am J Hum Genet. 1999, 64: 24-30. 10.1086/302221.PubMed CentralPubMedGoogle Scholar
- Eickbush TH, Eickbush DG: Finely orchestrated movements: evolution of the ribosomal RNA genes. Genetics. 2007, 175: 477-485. 10.1534/genetics.107.071399.PubMed CentralPubMedGoogle Scholar
- Raupach MJ, Malyutina M, Brandt A, Wägele JW: Molecular data reveal a highly diverse species flock within the munnopsoid deep-sea isopod Betamorpha fusiformis (Barnard, 1920) (Crustacea: Isopoda: Asellota) in the Southern Ocean. Deep Sea Res Part II. 2007, 54: 1820-1830. 10.1016/j.dsr2.2007.07.009.Google Scholar
- Brökeland W, Raupach MJ: A species complex within the isopod genus Haploniscus (Crustacea: Malacostraca: Peracarida) from the Southern Ocean deep sea: a morphological and molecular approach. J Linn Soc London, Zool. 2008, 152: 655-706. 10.1111/j.1096-3642.2008.00362.x.Google Scholar
- Faille A, Ribera I, Deharveng L, Bourdeau C, Garney L, Quéinnec E, Deuve T: A molecular phylogeny shows the single origin of the Pyrenean subterranean Trechini ground beetles (Coleoptera: Carabidae). Mol Phyl Evol. 2010, 54: 97-106. 10.1016/j.ympev.2009.10.008.Google Scholar
- Moore W: Phylogeny of the Western hemisphere Ozeanini (Coleoptera: Carabidae: Paussinae) based on DNA sequence data. Ann Carnegie Mus. 2008, 77: 79-92. 10.2992/0097-4463-77.1.79.Google Scholar
- Maddison DR: Systematics of the North American beetle subgenus Pseudoperyphus (Coleoptera: Carabidae: Bembidion) based on morphological, chromosomal, and molecular data. Ann Carnegie Mus. 2008, 77: 147-193. 10.2992/0097-4463-77.1.147.Google Scholar
- Ninet B, Jan I, Bontems O, Léchenne B, Jousson O, Panizzon R, Lew D, Monod M: Identification of Dermatophyte species by 28S ribosomal DNA sequencing with a commercial kit. J Clin Microbiol. 2003, 41: 826-830. 10.1128/JCM.41.2.826-830.2003.PubMed CentralPubMedGoogle Scholar
- Shirouzu T, Hirose D, Tokumasu S: Sequence analyses of the 28S rRNA gene D1/D2 region suggest Dacrymyces (Heterobasidiomycetes, Dacrymycetales) is polyphyletic. Mycoscience. 2007, 48: 388-394. 10.1007/s10267-007-0378-0.Google Scholar
- McClain DK, Li J, Oliver JH: Interspecific and geographical variation in the sequence of rDNA expansion segment D3 of Ixodes ticks (Acaria: Ixodidae). Heredity. 2001, 86: 234-242. 10.1046/j.1365-2540.2001.00835.x.Google Scholar
- Monteiro FA, Wesson DA, Dotson EM, Schofield CJ, Beard CB: Phylogeny and molecular taxonomy of the Rhodniini derived from mitochondrial and nuclear DNA sequences. Am J Trop Med Hyg. 2000, 62: 460-465.PubMedGoogle Scholar
- Markmann M, Tautz D: Reverse taxonomy: an approach towards determining the diversity of meiobenthic organisms based on ribosomal signature sequences. Philos T Roy Soc B. 2005, 360: 1917-1924. 10.1098/rstb.2005.1723.Google Scholar
- Sonnenberg R, Nolte AW, Tautz D: An evaluation of LSU rDNA D1-D2 sequences for their use in species identification. Front Zool. 2007, 4: 6-10.1186/1742-9994-4-6.PubMed CentralPubMedGoogle Scholar
- Valentini A, Pompanon F, Taberlet P: DNA barcoding for ecologists. Trends Ecol Evol. 2008, 24: 110-117. 10.1016/j.tree.2008.09.011.PubMedGoogle Scholar
- Crease TJ, Lynch M: Ribosomal DNA variation in Daphnia pulex. Mol Biol Evol. 1991, 8: 620-640.Google Scholar
- Crease TJ, Taylor D: The origin and evolution of variable-region helices in V4 and V7 of the small-subunit ribosomal RNA of branchiopod crustaceans. Mol Biol Evol. 1998, 15: 1430-1446.PubMedGoogle Scholar
- McTaggart SJ, Crease TJ: Selection on the structural stability of a ribosomal RNA expansion segment in Daphnia obtusa. Mol Biol Evol. 2005, 22: 1309-1319. 10.1093/molbev/msi119.PubMedGoogle Scholar
- Keller I, Veltsos P, Nichols RA: The frequency of rDNA variants within individuals provides evidence of population history and gene flow across a grasshopper hybrid zone. Evolution. 2008, 62: 833-844. 10.1111/j.1558-5646.2008.00320.x.PubMedGoogle Scholar
- Xu J, Zhang Q, Xu X, Wang Z, Qi J: Intragenomic variability and pseudogenes of ribosomal DNA in stone flounder Kareius bicoloratus. Mol Phyl Evol. 2009, 52: 157-166. 10.1016/j.ympev.2009.03.031.Google Scholar
- Gonzalez I, Gorski J, Campen T, Dorney D, Erickson J, Sylvester J, Schmickel R: Variation among human 28S ribosomal RNA genes. P Natl Acad Sci USA. 1985, 82: 7666-7670. 10.1073/pnas.82.22.7666.Google Scholar
- Leffers H, Anderson A: The sequence of 28S ribosomal RNA varies within and between human cell lines. Nucleic Acids Res. 1993, 21: 1449-1455. 10.1093/nar/21.6.1449.PubMed CentralPubMedGoogle Scholar
- Santos SR, Kinzie RA, Sakal K, Coffroth MA: Molecular characterization of nuclear small subunit (18S)-rDNA pseudogenes in a symbiotic dinoflagellate (Symbiodinium, Dinophyta). J Eukaryot Microbiol. 2003, 50: 417-421. 10.1111/j.1550-7408.2003.tb00264.x.PubMedGoogle Scholar
- Carranza S, Giribet G, Ribera C, Barguna Riutort M: Evidence that two types of 18S rDNA coexist in the genome of Dugesia (Schmidtea) mediterranea (Platyhelminthes, Turbellaria, Tricladia). Mol Biol Evol. 1996, 13: 824-832.PubMedGoogle Scholar
- Krieger J, Fuerst PA: Characterization of nuclear 18S rRNA gene sequence diversity and expression in an individual lake sturgeon (Acipenser fulvescens). J Appl Ichthyol. 2004, 20: 433-439. 10.1111/j.1439-0426.2004.00610.x.Google Scholar
- Krieger J, Hett AK, Fuerst PA, Birstein VJ, Ludwig A: Unusual intraindividual variation of the 18S rRNA gene is widespread within the Acipenseridae. J Hered. 2006, 97: 218-225. 10.1093/jhered/esj035.PubMedGoogle Scholar
- Ali AB, Wuyts J, De Wachter R, Meyer A, van de Peer Y: Construction of a variability map for eukaryotic large subunit ribosomal RNA. Nucleic Acids Res. 1999, 27: 2825-2831. 10.1093/nar/27.14.2825.PubMed CentralPubMedGoogle Scholar
- Wuyts J, Van de Peer Y, De Wachter R: Distribution of substitution rates and location of insertions sites of tertiary structure of ribosomal RNA. Nucleic Acids Res. 2001, 29: 5017-5028. 10.1093/nar/29.24.5017.PubMed CentralPubMedGoogle Scholar
- Hancock JM: The contribution of DNA slippage to eukaryotic nuclear 18S rRNA evolution. J Mol Evol. 1995, 40: 629-639. 10.1007/BF00160511.PubMedGoogle Scholar
- Hancock JM, Vogler AP: How slippage-derived sequences are incorporated into rRNA variable-region secondary structure: implications for phylogenetic reconstructions. Mol Phyl Evol. 2000, 14: 366-374. 10.1006/mpev.1999.0709.Google Scholar
- Hwang UO, Ree HI, Kim W: Evolution of hypervariable regions, V4 and V7, of insect 18S rRNA and their phylogenetic implications. Zool Sci. 2000, 17: 111-121. 10.2108/zsj.17.111.PubMedGoogle Scholar
- Xie Q, Tian X, Qin Y, Bu W: Phylogenetic comparison of local length plasticity of the small subunit of nuclear rDNAs among all Hexapoda orders and the impact of hyperlength-variation on alignment. Mol Phyl Evol. 2009, 50: 310-316. 10.1016/j.ympev.2008.10.025.Google Scholar
- Gerbi SA: The evolution of eukaryotic ribosomal DNA. BioSystems. 1986, 19: 247-258. 10.1016/0303-2647(86)90001-8.PubMedGoogle Scholar
- Sweeney R, Chen L, Yao MC: An rRNA variable region has an evolutionarily conserved essential role despite sequence divergence. Mol Cell Biol. 1994, 14: 4203-4215.PubMed CentralPubMedGoogle Scholar
- van Nues RW, Venema J, Planta RJ, Raue HA: Variable region V1 of Saccharomyces cerevisiae 18S rRNA participates in biogenesis and function of the small ribosomal subunit. Chromosoma. 1997, 105: 523-531. 10.1007/BF02510489.PubMedGoogle Scholar
- Jeeninga RE, van Delft Y, de Graaff-Vincent M, Dirks-Mulder A, Venema J, Raue HA: Variable regions V13 and V3 of Saccharomyces cerevisiae contain structural features essential for normal biogenesis and stability of 5.8S and 25S rRNA. RNA. 1997, 3: 476-488.PubMed CentralPubMedGoogle Scholar
- Spahn CM, Beckmann R, Eswar N, Penczek PA, Sali A, Blobel G, Frank J: Structure of the 80S ribosome from Saccharomyces cerevisiae - tRNA-ribosome and subunit-subunit interactions. Cell. 2001, 107: 373-386. 10.1016/S0092-8674(01)00539-6.PubMedGoogle Scholar
- Musters W, Boon K, van der Sande CA, van Heerikhuizen H, Planta RJ: Functional analysis of transcribed spacers of yeast ribosomal DNA. EMBO J. 1990, 9: 3989-3996.PubMed CentralPubMedGoogle Scholar
- Taylor DJ, Devkota B, Huang AD, Topf M, Narayanan E, Sali A, Harvey SC, Frank J: Comprehensive molecular structure of the eukaryotic ribosome. Structure. 2009, 17: 1591-1604. 10.1016/j.str.2009.09.015.PubMed CentralPubMedGoogle Scholar
- Arnett RH, Thomas MC: American Beetles, Volume 1: Archostemata, Myxophaga, Adephaga, Polyphaga: Staphyliniformia. 2000, Boca Raton, CRC Press LLCGoogle Scholar
- Arndt E, Beutel RG, Will K: Carabidae Latreille, 1802. Handbuch der Zoologie/Handbook of Zoology. Vol. IV Arthropoda: Insecta. Part 38. Coleoptera, Beetles. Vol 1: Morphology and Systematics (Archostemata, Adephaga, Myxophaga, Polyphaga partim). Edited by: Beutel RG, Leschen RAB. 2005, Berlin, W. deGruyter, 119-146.Google Scholar
- Lövei GL, Sunderland KD: Ecology and behaviour of ground beetles (Coleoptera: Carabidae). Annu Rev Entomol. 1996, 41: 231-256.PubMedGoogle Scholar
- Maddison DR, Baker MD, Ober KA: Phylogeny of carabid beetles as inferred fom 18S ribosomal DNA (Coleoptera: Carabidae). Syst Entomol. 1999, 24: 103-138. 10.1046/j.1365-3113.1999.00088.x.Google Scholar
- Ober KA: Phylogenetic relationships of the carabid subfamily Harpalinae (Coleoptera) based on molecular data. Mol Phyl Evol. 2002, 24: 228-248. 10.1016/S1055-7903(02)00251-8.Google Scholar
- Pearce JL, Venier LA: The use of ground beetles (Coleoptera: Carabidae) and spiders (Araneae) as bioindicators of sustainable forest management: A review. Ecol Indic. 2006, 6: 780-793. 10.1016/j.ecolind.2005.03.005.Google Scholar
- Maddison DR: Systematics of the North American beetle subgenus Pseudoperyphus (Coleoptera: Carabidae: Bembidion) based on morphological, chromosomal, and molecular data. Ann Carnegie Mus. 2008, 77: 147-193. 10.2992/0097-4463-77.1.147.Google Scholar
- Rainio J, Niemelä J: Ground beetles (Coleoptera: Carabidae) as bioindicators. Biodivers Conserv. 2003, 12: 487-506. 10.1023/A:1022412617568.Google Scholar
- Müller-Motzfeld G, (Editor): Vol. 2 Adephaga 1: Carabidae (Laufkäfer). Die Käfer Mitteleuropas. Edited by: Freude H, Harde KW, Lohse GA, Klausnitzer B. 2004, Heidelberg/Berlin, Spektrum-VerlagGoogle Scholar
- Reiter E: Fauna Germanica - Die Käfer des Deutschen Reiches, Band I. 1908, Stuttgart, K.G. Lutz VerlagGoogle Scholar
- Jeannel R: Coléoptères carabiques, 1. Fauna de France. 1941, 39: 1-571.Google Scholar
- Jeannel R: Coléoptères carabiques, 2. Fauna de France. 1942, 40: 573-1173.Google Scholar
- Müller G: Bembidion lampros Hrbst. und B. properans Steph. - zwei Arten?. Entomol Nach. 1971, 15: 119-124.Google Scholar
- Desender K, Crappe D: Larval and adult morphology and biometry of two sibling species Bembidion lampros (Herbst) and Bembidion properans Stephens (Coleoptera, Carabidae). Biol Jaarb. 1983, 51: 36-54.Google Scholar
- Koch D: Pterostichus nigrita, ein Komplex von Zwillingsarten. Entomol Bl. 1984, 79: 141-152.Google Scholar
- Müller-Motzfeld G, Hartmann M: Zur Trennung von Pterostichus rhaeticus HEER and P. nigrita PAYK. (Col., Carabidae). Entomol Nachr Ber. 1985, 29: 13-17.Google Scholar
- Angus RB, Brown RE, Bryant LJ: Chromosomes and identification of the sibling species Pterostichus nigrita (Paykull) and P. rhaeticus Heer (Coleoptera: Carabidae). Syst Entomol. 2000, 25: 325-337. 10.1046/j.1365-3113.2000.00108.x.Google Scholar
- Angus RB, Galián J, Wrase DW, Chaladze G: The western Palaearctic species of the Pterostichus nigrita (Paykull) complex, with the description of a new species from Spain and a new subspecies of P. nigrita from Anatolia (Coleoptera, Carabidae). Nouv Rev Entomol. 2008, 25: 297-316.Google Scholar
- Ferguson JWH: On the use of genetic divergence for identifying species. Biol J Linn Soc. 2002, 75: 509-516. 10.1046/j.1095-8312.2002.00042.x.Google Scholar
- Hebert PDN, Stoekle M, Zemlak T, Francis CM: Identification of birds through DNA barcodes. PLoS Biology. 2004, 2: 1657-1668. 10.1371/journal.pbio.0020312.Google Scholar
- Hebert PDN, Penton EH, Burns JM, Janzen DH, Hallwachs W: Ten species in one: DNA barcoding reveals cryptic species in the neotropical skipper butterfly Astrapes fulgerator. P Natl Acad Sci USA. 2004, 101: 14812-14817. 10.1073/pnas.0406166101.Google Scholar
- Ball SL, Hebert PDN, Burian SK, Webb JM: Biological identifications of mayflies (Ephemeroptera) using DNA barcodes. J N Am Benthol Soc. 2005, 24: 508-524.Google Scholar
- Ward RD, Zemlak TS, Innes BH, Last PR, Hebert PDN: DNA barcoding Australia`s fish species. Philos T Roy Soc B. 2005, 360: 1847-1857. 10.1098/rstb.2005.1716.Google Scholar
- Holmes BH, Steinke D, Ward RD: Identification of shark and ray fins using DNA barcoding. Fish Res. 2009, 95: 280-288. 10.1016/j.fishres.2008.09.036.Google Scholar
- Lefébure T, Douady CJ, Gouy M, Gibert J: Relationship between morphological taxonomy and molecular divergence within Crustacea: proposal of a molecular threshold to help species delimitation. Mol Phyl Evol. 2006, 40: 435-447. 10.1016/j.ympev.2006.03.014.Google Scholar
- Vences M, Thomas M, van der Meijden A, Chiari Y, Vietes DR: Comparative performance of the 16S rRNA gene in DNA barcoding of amphibians. Front Zool. 2005, 2: 5-10.1186/1742-9994-2-5.PubMed CentralPubMedGoogle Scholar
- Frézal L, Leblois R: Four years of DNA barcoding: current advances and prospects. Infect Genet Evol. 2008, 8: 727-736. 10.1016/j.meegid.2008.05.005.PubMedGoogle Scholar
- Pons J, Barraclough TG, Gomez-Zurita J, Cardoso A, Duran DP, Hazell S, Kamoun S, Sumlin WD, Vogler AP: Sequence-based species delimitation for the DNA taxonomy of undescribed insects. Syst Biol. 2006, 55: 595-609. 10.1080/10635150600852011.PubMedGoogle Scholar
- Papadopoulou A, Bergsten J, Fujisawa T, Monaghan MT, Barraclough TG, Vogler AP: Speciation and DNA barcodes: testing the effects of dispersal on the formation of discrete sequence clusters. Philos T Roy Soc B. 2008, 363: 2987-2996. 10.1098/rstb.2008.0066.Google Scholar
- Monaghan MT, Wild R, Elliot M, Fujisawa T, Balke M, Inward DJG, Lees DC, Ranaivosolo R, Eggleton P, Barraclough TG, Vogler AP: Accelerated species inventory on Madagascar using coalescent-based models of species delineation. Syst Biol. 2009, 58: 298-311. 10.1093/sysbio/syp027.PubMedGoogle Scholar
- Papadopoulou A, Jones AG, Hammond PM, Vogler AP: DNA taxonomy and phylogeography of beetles of the Falkland Islands (Islas Malvinas). Mol Phy Evol. 2009, 53: 935-947. 10.1016/j.ympev.2009.08.027.Google Scholar
- Lindroth CH: The Carabidae (Coleoptera) of Fennoskandia and Denmark. Fauna Entomol Scan. 1985, 15: 1-232.Google Scholar
- Thiele HU: Differences in measurement of day-length and photoperiodism in two stocks from subarctic and temperate climates in the carabid beetle Pterostichus nigrita F. Oeceologia. 1977, 30: 349-365. 10.1007/BF00399766.Google Scholar
- Tautz D, Arctander P, Minelli A, Thomas RH, Vogler AP: A plea for DNA taxonomy. Trends Ecol Evol. 2003, 18: 70-74. 10.1016/S0169-5347(02)00041-1.Google Scholar
- Sokolowski K: Clivina fossor L. 1758 und collaris Herbst. 1786 zwei distinkte Arten. Entomol Bl. 1955, 51: 81-84.Google Scholar
- Brandl R, Topp W: Morphologische Variabilität von Carabus nemoralis (Col., Carabidae). Verh Deut Z. 1983, 76: 215-Google Scholar
- Alibert P, Moureau B, Dommergues JL, David B: Differentiation at a microgeographical scale within two species of ground beetle, Carabus auronitens and C. nemoralis (Coleoptera, Carabidae): a geometrical morphometric approach. Zool Scr. 2001, 30: 299-311. 10.1046/j.1463-6409.2001.00068.x.Google Scholar
- Brouat C, Sennedot F, Audiot P, Leblois R, Rasplus JY: Fine-scale genetic structure of two carabid species with contrasted levels of habitat specialization. Mol Ecol. 2003, 12: 1731-1745. 10.1046/j.1365-294X.2003.01861.x.PubMedGoogle Scholar
- Brouat C, Chevallier H, Meusnier S, Noblecourt T, Rasplus JY: Specialization and habitat: spatial and environmental effects on abundance and genetic diversity of forest generalist and specialist Carabus species. Mol Ecol. 2004, 13: 1815-1826. 10.1111/j.1365-294X.2004.02206.x.PubMedGoogle Scholar
- Nagata N, Kubota K, Sota T: Phylogeography and introgressive hybridization of the ground beetle Carabus yamato in Japan based on mitochondrial gene sequences. Zool Sci. 2007, 24: 465-474. 10.2108/zsj.24.465.PubMedGoogle Scholar
- Folmer O, Black M, Hoeh W, Lutz R, Vrijenhoek R: DNA primers for amplification of mitochondrial cytochrome c oxidase subunit I from diverse metazoan invertebrates. Mol Mar Biol Biotech. 1994, 3: 294-299.Google Scholar
- Altschul SF, Madden TL, Schäffner AA, Zhang J, Zhang Z, Miller W, Lipman DJ: Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res. 1997, 25: 3389-3402. 10.1093/nar/25.17.3389.PubMed CentralPubMedGoogle Scholar
- Hall TA: BioEdit: a user-friendly biological sequence alignment editor and analysis program for Windows 95/98/NT. Nucl Acid S. 1999, 41: 45-98.Google Scholar
- Edgar RC: MUSCLE: a multiple sequence alignment method with reduced time and space complexity. BMC Bioinformatics. 2004, 5: 113-10.1186/1471-2105-5-113.PubMed CentralPubMedGoogle Scholar
- Swofford DL: PAUP*: Phylogenetic analysis using parsimony (and other methods), version 4.0b10. 2002, Sunderland/Massachusetts, Sinauer AssociatesGoogle Scholar
- Tuckey JW: Exploratory Data Analysis. 1977, Boston, Addison-WesleyGoogle Scholar
- Hammer Ø, Harper DAT, Ryan PD: PAST: Palaeontological statistics software package for education and data analysis. Palaeontol Electron. 2001, 4: 4-Google Scholar
- Sirovich L, Stoeckle MY, Zhang Y: A scalable method for analysis and display of DNA sequences. PLoS ONE. 2009, 4: e7051-10.1371/journal.pone.0007051.PubMed CentralPubMedGoogle Scholar
- Sirovich L, Stoeckle MY, Zhang Y: Structural analysis of biodiversity. PloS ONE. 2010, 5: e9266-10.1371/journal.pone.0009266.PubMed CentralPubMedGoogle Scholar
- Saitou N, Nei M: The neighbor-joining method: a new method for reconstructing phylogenetic trees. Mol Biol Evol. 1987, 4: 406-425.PubMedGoogle Scholar
- Clement M, Posada D, Crandall KA: TCS: a computer program to estimate gene genealogies. Mol Ecol. 2000, 9: 1657-1660. 10.1046/j.1365-294x.2000.01020.x.PubMedGoogle Scholar
- Blaxter ML: The promise of a molecular taxonomy. Philos T Roy Soc B. 2004, 359: 669-679. 10.1098/rstb.2003.1447.Google Scholar
- Steinke D, Salzburger W, Vences M, Meyer A: TaxI - A software tool for DNA barcoding using distance methods. Philos T Roy Soc B. 2005, 360: 1975-1980. 10.1098/rstb.2005.1729.Google Scholar
- Astrin JJ, Huber BA, Misof B, Klütsch CFC: Molecular taxonomy in pholcid spiders (Pholcidae, Araneae): evaluation of species identification methods using CO1 and 16S rRNA. Zool Scr. 2006, 35: 441-457. 10.1111/j.1463-6409.2006.00239.x.Google Scholar
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