Literature DB >> 26257532

First results of the German Barcode of Life (GBOL) - Myriapoda project: Cryptic lineages in German Stenotaenialinearis (Koch, 1835) (Chilopoda, Geophilomorpha).

Thomas Wesener1, Karin Voigtländer2, Peter Decker2, Jan Philip Oeyen1, Jörg Spelda3, Norman Lindner3.   

Abstract

As part of the German Barcode of Life (GBOL) Myriapoda program, which aims to sequence the COI barcoding fragment for 2000 specimens of Germany's 200 myriapod species in the near future, 44 sequences of the centipede order Geophilomorpha are analyzed. The analyses are limited to the genera Geophilus Leach, 1814 and Stenotaenia Koch, 1847 and include a total of six species. A special focus is Stenotaenia, of which 19 specimens from southern, western and eastern Germany could be successfully sequenced. The Stenotaenia data shows the presence of three to four vastly different (13.7-16.7% p-distance) lineages of the genus in Germany. At least two of the three lineages show a wide distribution across Germany, only the lineage including topotypes of Stenotaenialinearis shows a more restricted distribution in southern Germany. In a maximum likelihood phylogenetic analysis the Italian species Stenotaenia 'sorrentina' (Attems, 1903) groups with the different German Stenotaenialinearis clades. The strongly different Stenotaenialinearis lineages within Germany, independent of geography, are a strong hint for the presence of additional, cryptic Stenotaenia species in Germany.

Entities:  

Keywords:  Barcode; COI; biodiversity; cryptic diversity

Year:  2015        PMID: 26257532      PMCID: PMC4523762          DOI: 10.3897/zookeys.510.8852

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


Introduction

The German Barcode of Life – project aims to sequence part of the mitochondrial cytochrome c oxidase subunit I gene known as the barcode fragment for all approximately 200 species in Germany (Voigtländer et al. 2011). Introduced species, mainly from greenhouses (Decker et al. 2014), will also be included. Myriapod barcoding is still in its infancy. While some studies incorporate COI data, this is mostly done on the species-level (e.g. Oeyen et al. 2014), and occasionally in genus-level studies (e.g. Stoev et al. 2010, Wesener et al. 2014). In Germany, a study of Bavarian myriapods (Spelda et al. 2011) pioneered research in this field. Here, we show the preliminary results of one of the largest barcoding datasets compiled for centipedes of the order , with a special focus on the recently revised Koch, 1847 (Bonato and Minelli 2008). is distributed in Europe and the adjacent Mediterranean area and now includes 15 valid species. (Koch, 1835) is the type species of the genus, and the only species recorded from Germany (Voigtländer et al. 2011). After the resurrection of the genus in 2008, some redescriptions were undertaken (Dányi 2010), and the species was recorded from Belgium for the first time (Lock 2009). The taxonomic situation of the type species of , , is slightly confused, as the original Koch type specimens from Regensburg, Germany are apparently lost (Bonato and Minelli 2008). Seven species are currently synonymized under the name (Bonato & Minelli, 2014). Another four valid species, (Verhoeff, 1898), (Folkmanova, 1956), (Verhoeff, 1901), and (Verhoeff, 1925), spanning the entire geographical range of the genus, are difficult to distinguish from (see Bonato and Minelli 2008). A correct definition of is therefore a crucial necessity for any further taxonomic work in the genus. Molecularly, little was done in . One specimen of was used for the Fauna Bavarica project (Spelda et al. 2011). Of other species, only one sequence of (Attems, 1903), a putative synonym (ICZN 2014) of Fanzago, 1881, which was part of a recent phylogenetic study (Bonato et al. 2014) can be found. The discovery of unusually large genetic distances between different clades in German , not found in any other German , and potentially independent of biogeography, prompted us to focus our attention on this species. In this study, the genetic distances in between German specimens are geographically analyzed and interpreted.

Material and methods

Specimen collection and preparation

Specimens were determined and collected by the authors of the study by hand, and either directly or after a few days transferred to vials containing 95% undenatured ethanol. The vials contain an individual GBOL number with which the specimens can be connected to the accompanying data. After conservation the specimens were either sent to the GBOL facility at the Museum Koenig, Bonn, Germany (ZFMK) or to the corresponding laboratory at the Bavarian State collection of Zoology, Munich, Germany (ZSM). Upon arrival, all specimens were photographed (images will be uploaded to BOLD, http://www.boldsystems.org/), and a tissue sample was removed for DNA extraction. All specimens will later be stored as vouchers in 95% undenatured ethanol, either at the ZFMK, the SMNG (Senckenberg Museum für Naturkunde, Görlitz) or the ZSM (see Table 1). For this specific GBOL subproject, DNA extraction was attempted for more than 35 specimens of and 24 , all specimens from Germany.
Table 1.

GBOL numbers, Genbank codes, locality data. GBOL number refers to DNA extraction and BOLD registration. SMNG = Senckenberg Museum für Naturkunde, Görlitz, Germany; ZFMK = Zoological Research Museum A. Koenig, Bonn, Germany; ZSM = Zoologische Staatssammlung München, Germany.

GBOLGenBankVoucherSpeciesLocality
ZFMK-TIS-1318KM999124SMNG VNR016755-1Geophilus alpinusSaxony, Hirschfelde, Neißetal.
ZFMK-TIS-1449KM999119ZFMK MYR3840Geophilus alpinusSaxony, Leipzig, Leipziger Auwald, Revierort „Die Nonne“
ZFMK-TIS-1520KM999120ZFMK MYR3871Geophilus alpinusSaxony, Jähstadt, Annaberger Ratswald.
ZFMK-TIS-1560KM999118ZFMK MYR3875Geophilus alpinusBavaria, Donaustauf.
ZFMK-TIS-1647KM491674ZFMK MYR3720Geophilus alpinusSaxony-Anhalt, Ilsenburg, Ilsetal.
ZFMK-TIS-1656KM491579ZFMK MYR3725Geophilus carpophagusSaxony-Anhalt, Ilsenburg, Ilsensteinhang.
ZFMK-TIS-2519834KM491622ZFMK MYR3813Geophilus carpophagusSaxony-Anhalt, Ilsenburg, Ilsensteinhang.
ZFMK-TIS-1413KM491587ZFMK MYR3653Geophilus electricusSaxony-Anhalt, Nordharz, Heudeber.
ZFMK-TIS-1518KM491687ZFMK MYR3673Geophilus electricusSaxony-Anhalt, Halberstadt, Athenstedt.
ZFMK-TIS-1650KM491673ZFMK MYR3723Geophilus electricusSaxony-Anhalt, Ilsenburg, Dreisageblocksberg.
ZFMK-TIS-19414KM491636ZFMK MYR2107Geophilus electricusNorth Rhine-Westphalia, Windeck, Stromberg.
ZFMK-TIS-1468KM999123ZFMK MYR3850Geophilus flavusSaxony, Zwickau, Brückeberg.
ZFMK-TIS-1525KM491642ZFMK MYR3676Geophilus flavusSaxony-Anhalt, Schönhausen (Elbe).
ZFMK-TIS-1603KM491670ZFMK MYR3705Geophilus flavusSaxony-Anhalt, Gerbstedt, Friedeburg.
ZFMK-TIS-6359KM491617ZFMK MYR3536Geophilus flavusSaxony, Gröditz, Weißenberg.
ZFMK-TIS-15516KM491627ZFMK MYR1004Geophilus flavusNorth Rhine-Westphalia, Bonn, Oberkassel Steinbruch.
ZFMK-TIS-15764KM491602ZFMK MYR1060Geophilus flavusNorth Rhine-Westphalia, Wuppertal, NSG ‚Im Hölken‘
ZFMK-TIS-15774KM491626ZFMK MYR1070Geophilus flavusNorth Rhine-Westphalia, Siebengebirge, Löwenburg.
ZFMK-TIS-15821KM491693ZFMK MYR1117Geophilus flavusNorth Rhine-Westphalia, Wuppertal, Dolinengelände Krutscheid.
ZFMK-TIS-19577KM491685ZFMK MYR1526Geophilus flavusNorth Rhine-Westphalia, Bonn, Kottenforst.
ZFMK-TIS-19591KM491632ZFMK MYR1543Geophilus flavusNorth Rhine-Westphalia, Heimbach, Meuchelberg.
ZFMK-TIS-19602KM491649ZFMK MYR1554Geophilus flavusNorth Rhine-Westphalia, Königswinter, Südhang Wolkenburg.
ZFMK-DNA-112780112KM491570ZSM-JSP100815-007Geophilus flavusNorth Rhine-Westphalia, Bielefeld, Brackweder Wald.
ZFMK-DNA-112780116KM999125ZSM-JSP120413-004Geophilus flavusBaden-Württemberg, Bad Urach, St. Johann Fohlenhof.
ZFMK-DNA-112780042KM999126ZSM-JSP120413-002Geophilus ribautiBaden-Württemberg, Bad Urach, St. Johann Fohlenhof.
ZFMK-TIS-19495KM999122ZFMK MYR1630Stenotaenia linearisNorth Rhine-Westphalia, Bonn, Oberkassel Steinbruch.
ZFMK-TIS-1450KM999121ZFMK-TIS-1450Stenotaenia linearisSaxony, Leipzig, Leipziger Auwald, Revierort „Die Nonne“.
ZFMK-TIS-15771KM491663ZFMK MYR1067Stenotaenia linearisNorth Rhine-Westphalia, Wuppertal, NSG ‚Im Hölken‘.
ZFMK-TIS-15861KM491574ZFMK MYR1157Stenotaenia linearisNorth Rhine-Westphalia, Wuppertal, Dolinengelände Krutscheid.
ZFMK-TIS-19430KM491573ZFMK MYR2030Stenotaenia linearisRheinland-Pfalz, Altenkirchen, Seelbach bei Hamm.
ZFMK-DNA-112780045KM491689ZSM-JSP120412-003Stenotaenia linearisBaden-Württemberg, Esslingen, St. Bernhard.
ZFMK-DNA-112780062KM491558ZSM-JSP100514-021Stenotaenia linearisBavaria, Dachau, palace garden.
ZFMK-DNA-112780066KM491631ZSM-JSP120411-001Stenotaenia linearisBaden-Württemberg, Esslingen, St. Bernhard.
ZFMK-DNA-112780069KM491658ZSM-JSP120408-007Stenotaenia linearisBaden-Württemberg, Hegnach, Hardtwald.
ZFMK-DNA-112780093KM491637ZSM-JSP120408-002Stenotaenia linearisBaden-Württemberg, Stuttgart, SW Max-Eyth-See.
GBOL11002KP698104ZSM-JSP141102-010Stenotaenia linearisBavaria, Regensburg
GBOL10999KP698105ZSM-JSP141102-004Stenotaenia linearisBavaria, Regensburg
ZFMK-TIS-19423KR559681ZFMK MYR2119Stenotaenia linearisNorth Rhine-Westphalia, Euskirchen, Bad Münstereifel, Gilsdorf.
ZFMK-TIS-2538216KR559680ZFMK MYR3467Stenotaenia linearisSaxony, Dresden, Gruna
ZFMK-TIS-1645KR559679ZFMK MYR3878Stenotaenia linearisSaxony, Zwickau, Brueckeberg
GBOL12266KR736251SMNG-VNR016704-1Stenotaenia linearisNorth Rhine-Westphalia. Bochum, Tippelsberg
GBOL12450KR736248ZSM-JSP150117-056Stenotaenia linearisBaden-Württemberg, Breisgau, Badenweiler
GBOL12421KR736250SMNG-MYR016705-1Stenotaenia linearisNorth Rhine-Westphalia. Unna, Selm
GBOL11224KR736249ZSM-JSP141113-005Stenotaenia linearisBaden-Württemberg, Ulm, Kiesental
GBOL numbers, Genbank codes, locality data. GBOL number refers to DNA extraction and BOLD registration. SMNG = Senckenberg Museum für Naturkunde, Görlitz, Germany; ZFMK = Zoological Research Museum A. Koenig, Bonn, Germany; ZSM = Zoologische Staatssammlung München, Germany.

DNA extraction and sequencing

At the ZFMK, DNA was extracted from the tissue samples using the BioSprint96 magnetic bead extractor by Qiagen (Germany). After the extraction, samples were outsourced for PCR and sequencing (BGI China). For PCR and sequencing, HCO/LCO primer pairs (Folmer et al. 1994) were utilized. Because of a low PCR and sequencing success (<50%) for the , the degenerated primer pair HCOJJ/LCOJJ (Astrin and Stüben 2008) was used for further sequencing attempts, resulting in a much higher success rate (>75%). At the ZSM, a tissue sample was removed from each specimen and transferred into 96 well plates for subsequent DNA extraction at the Canadian Center for DNA Barcoding (CCDB) where they were processed using standard barcoding protocols. All protocols for DNA extraction, PCR amplifications and Sanger Sequencing procedures are available online under: http://www.dnabarcoding.ca/pa/ge/research/protocols.for DNA. DNA was extracted from the whole voucher at the CCDB. All samples were PCR amplified with modified Folmer primers CLepFolF, and the same primers were employed for subsequent Sanger sequencing. All voucher information and the DNA barcode sequences, primer pairs and trace files were uploaded to BOLD (http://www.boldsystems.org). However, for more than five PageBreakPageBreakPageBreak and more than 10 specimens no sequences could be obtained. Sequences were obtained for 19 and 25 specimens. Sequence identities were confirmed with BLAST searches (Altschul et al. 1997). All 44 new sequences were deposited in GenBank (see Table 1 for accession numbers). The only available COI sequence of (KF569300.1), labelled as , was added to the dataset. In order to rule-out the accidental amplification of nuclear copies of the mitochondrial COI gene, the whole dataset was translated into amino acids following the ‘invertebrate’ code in MEGA6 (Tamura et al. 2013); internal stop codons were absent in our dataset. There were a total of 658 positions in the final dataset, gaps were absent.

Phylogenetic analysis

Sequences were aligned by hand in Bioedit (Hall 1999). The final dataset included 45 nucleotide sequences with 658 positions (44 newly sequenced and the one of from GenBank). Phylogenetic analyses were conducted in MEGA6 (Tamura et al. 2013). A Modeltest, as implemented in MEGA6 (Tamura et al. 2013), was performed to find the best fitting maximum likelihood substitution model. Models with the lowest BIC scores (Bayesian Information Criterion) are considered to describe the best substitution pattern. Codon positions included were 1st+2nd+3rd+Noncoding. Modeltest selected the Tamura-Nei model (Tamura and Nei 1993) with gamma distribution and invariant sites as best fitting model (lnL -4245.19958, Invariant 0.55674, Gamma 1.176355, R 3.46, Freq A: 0.288843, T: 0.282885, C: 0.262778, G: 0.16546). The evolutionary history was inferred by using the maximum likelihood method based on the selected Tamura-Nei model (Tamura and Nei 1993). The tree with the highest log likelihood (-4247.0145) is shown (Nei and Kumar 2000). The percentage of trees in which the associated taxa clustered together is shown next to the branches. Initial tree(s) for the heuristic search were obtained automatically by applying Neighbor-Join and BioNJ algorithms to a matrix of pairwise distances estimated using the Maximum Composite Likelihood (MCL) approach, and then selecting the topology with superior log likelihood value. A discrete Gamma distribution was used to model evolutionary rate differences among sites (5 categories (+G, parameter = 1.1347)). The rate variation model allowed for some sites to be evolutionarily invariable ([+I], 55.5093% sites). The tree is drawn to scale, with branch lengths measured in the number of substitutions per site.

Distance analysis

The number of pairwise base differences per site were calculated in MEGA6 (Tamura et al. 2013). Codon positions included were 1st+2nd+3rd+Noncoding. In the distance analysis, all positions containing ‘N’s were removed for each sequenced pair. There were a total of 658 positions in the final dataset. To further evaluate the divergence within the genera and , the frequency distribution of the pairwise intra- and inter-specific distances were analysed.

Results

is not clearly separated from in our analysis (Fig. 1). The basal-most node of the tree supports three monophyletic groups: (de Geer, 1778), a species formerly separated in a different genus, Newport, 1842, all other , and . However, the other receive little statistical support (34%). The monophyly of the individual species, as well as the lineages L1–L3, all receive 100% bootstrap support (Fig. 1).
Figure 1.

Maximum likelihood tree, 1000 bootstrap replicates. L1–L3 = lineages 1–3; NRW = North Rhine-Westphalia; Baden-W = Baden-Württemberg. comes from GenBank and might refer to . For exact locality data, see Table 1.

Maximum likelihood tree, 1000 bootstrap replicates. L1–L3 = lineages 1–3; NRW = North Rhine-Westphalia; Baden-W = Baden-Württemberg. comes from GenBank and might refer to . For exact locality data, see Table 1. All 13 specimens of show little genetic distance (0–2.4%) to one another. Within the group containing the remaining species, Brölemann, 1908, a species formerly treated as a member of the genus Brölemann, 1908, is in a basal position to a weakly supported clade (64% statistical support) including (Linné, 1758), Leach, 1814, and Meinert, 1870. In this clade, (100% statistical support) is opposed to the sister-taxa and (83% statistical support). Inside , the one specimen from western Germany is opposed to the three from Saxony-Anhalt (Table 1 and Fig. 1). is the only analyzed species with widely separated intraspecific groups (Fig. 1). A basal trichotomy (Fig. 1) divides the five analyzed specimens into three groups that can not be separated geographically. Within , a basal trichotomy separates the specimens into (1) L1, (2) , and (3) the weakly supported (56% bootstrap support) L2 (including the topotypes) together with L3 (Fig. 1). L1 includes three specimens, one from Bonn, another from Euskirchen, both in western Germany and one from Leipzig in eastern Germany. L2 contains a single specimen from Dachau, one close to Ulm, as well as two topotypes from Regensburg, all in southern Germany, while the majority (12) of analyzed German specimens are recovered in L3 (Fig. 1). The L3 group is divided into two clusters (L3a and b), one including seven specimens representing a single haplotype from seven different localities in western and eastern Germany, and the other one including five specimens also representing a single haplotype from four different localities (Esslingen, Hegnach, Badenweiler, and Stuttgart) in south-western Germany. The distance analysis shows a first cluster of intraspecific distances ranging from 0–2.8%, with a outlier at 4.9% (Fig. 2), a second cluster at 9.4–10.2%, and a third cluster, which overlaps with the interspecific distances, at 13.7–16.7%. Interspecific distances inside German and are high, varying from 16.3–22.0%. The highest observed genetic distance is between and species (16.6–22.7%), while the species differ from one another by 17.2–21.7%.
Figure 2.

Frequency distribution of pairwise intraspecific (blue) and interspecific (red) distances. Blue circle = intraspecific distances of and among L3; Red circle = interspecific distances and distances between lineages. Basic table see Suppl. material 1.

Frequency distribution of pairwise intraspecific (blue) and interspecific (red) distances. Blue circle = intraspecific distances of and among L3; Red circle = interspecific distances and distances between lineages. Basic table see Suppl. material 1.

Discussion

Clear intraspecific distances in German range from 0–5% (Fig. 2). A potential barcoding gap, however, is filled by the relatively high intraspecific distances (Fig. 2) of and L3 (9.4–10.2% range). The genetic distances (13.7–16.7%) between the different lineages (L1, L2 & L3) fall partly in the interspecific range of variation of the German (Fig. 2). The large interspecific distances (16.6–22.7%) observed among German are an indication that all species can be easily separated using the COI barcode marker. The distance analysis is partly biased towards interspecific distances because only a few specimens per species were analyzed. To explain the high nucleotide variability, excluding cryptic species, the presence of the maternally inherited endosymbionts (Hurst et al. 2005), as well as the origin of the lineages from different glacial refugia (Babik et al. 2005) followed by a subsequent fusion to a single species, need to be checked.

Three lineages of in Germany

The three German lineages are only weakly geographically separated (Fig. 3). L1 is represented in our dataset with one specimen from Bonn, one from Euskirchen, and a third specimen from Leipzig (Fig. 1), the first two localities are separated from the third by more than 400 km apart (Fig. 3). This clade can be described as the specimen from central Germany. All three specimens show the same haplotype.
Figure 3.

Map of samples studied during GBOL (large dots), as well as other records from Edaphobase, the ZSM and ZFMK collection (small dots, status 10.2014). Yellow = L1; Blue = L2; Green = L3. (A) in the field, photo: J. Spelda, specimen from Stuttgart-Hofen, Zuckerberg.

Map of samples studied during GBOL (large dots), as well as other records from Edaphobase, the ZSM and ZFMK collection (small dots, status 10.2014). Yellow = L1; Blue = L2; Green = L3. (A) in the field, photo: J. Spelda, specimen from Stuttgart-Hofen, Zuckerberg. L2 represents topotypic material from Regensburg, a specimen from the Kiesental near Ulm, as well as a single specimen from Dachau in southern Germany. All three localities are more than 100 km apart but only the specimen from Dachau differs by 1.4%. L2 differs significantly (13.7–16.7%) from other German . This clade might be characterised as of southeastern German origin along the Danube river system. Both clades of lineage 3, one from western and eastern Germany (L3a), the other from SW Germany (L3b) show identical haplotypes, but differ from one another by 9.4% (Fig. 3). The intraspecific difference is similar to the differences observed in some species (9.4–10.2% in ), but significantly larger than the differences observed in the widespread (0.2–2.4%), which often come from the exact same localities as the specimens (Table 1). Whether or not the apparent sympatric distribution of the three different lineages of in Germany (Fig. 3) might have been influenced by human-induced introduction or dispersal is not known. Virtually all collection localities are close to human habitats, but differ strongly in their current direct exposure to human activities.

Potential analysis problems and what we can learn for future work

Such a large project faces a set of predictable technical problems, which can potentially cause wrong results. Specimen collections: According to the main aim of the project (get approx. 10 specimens from at least five localities for each species to capture the estimated German-wide COI variation), the different collectors preferred localities where they could find many myriapod specimens easily – a potential collection bias. The amount of successfully sequenced specimens as well as specimens and their different positions and deep splits within the maximum likelihood tree (Fig. 1) tell us that a larger amount of specimens from many more regions in Germany (Fig. 3) would be a desirable object for future taxonomic and/or biogeographical studies on these species. Bergsten et al. (2012) showed that up to 70 individuals are required to sample 95% of the intraspecific variation. Specimen determination: As done by Bonato et al. (2014) for all species, a data matrix of additional morphological characters, presumably morphometric characters, should be created for the detection of usable characters for determining the possible cryptic taxa. However, it is not feasible to have such morphological studies as part of a large barcoding project like GBOL.

Taxonomic implications

Our analysis shows the importance of COI barcode data in the detection of taxonomic problems inside the centipede order . However, it also illustrates that PageBreakbarcode data alone does not clarify taxonomic problems. Only a thorough morphological study of the species, including the types, plus the addition of nuclear markers, may be able to solve the complex picture of this genus. As a result of the voucher-based barcoding effort, all analyzed specimens, and even their DNA extracts, are available for loan and should be incorporated into any future study of .
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