Research Article |
Corresponding author: Michael J. Raupach ( raupach@snsb.de ) Academic editor: Stefano Taiti
© 2022 Michael J. Raupach, Björn Rulik, Jörg Spelda.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Raupach MJ, Rulik B, Spelda J (2022) Surprisingly high genetic divergence of the mitochondrial DNA barcode fragment (COI) within Central European woodlice species (Crustacea, Isopoda, Oniscidea). ZooKeys 1082: 103-125. https://doi.org/10.3897/zookeys.1082.69851
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DNA barcoding has become the most popular approach for species identification in recent years. As part of the German Barcode of Life project, the first DNA barcode library for terrestrial and freshwater isopods from Germany is presented. The analyzed barcode library included 38 terrestrial (78% of the documented species of Germany) and five freshwater (63%) species. A total of 513 new barcodes was generated and 518 DNA barcodes were analyzed. This analysis revealed surprisingly high intraspecific genetic distances for numerous species, with a maximum of 29.4% for Platyarthrus hoffmannseggii Brandt, 1833. The number of BINs per species ranged from one (32 species, 68%) to a maximum of six for Trachelipus rathkii (Brandt, 1833). In spite of such high intraspecific variability, interspecific distances with values between 12.6% and 29.8% allowed a valid species assignment of all analyzed isopods. The observed high intraspecific distances presumably result from phylogeographic events, Wolbachia infections, atypical mitochondrial DNAs, heteroplasmy, or various combinations of these factors. Our study represents the first step in generating an extensive reference library of DNA barcodes for terrestrial and freshwater isopods for future molecular biodiversity assessment studies.
Asellota, cytochrome c oxidase subunit I (COI), freshwater, German Barcode of Life (GBoL), mitochondrial DNA, molecular specimen identification, Platyarthrus hoffmannseggii
Isopods are a highly diverse group of invertebrates, with more than 10,300 species described to date (
Isopods are, however, not restricted to the aquatic realms only. One group, the Oniscidea or woodlice, are the most successful group of crustaceans that invaded the land by far. Without doubt, these animals represent the most familiar and well-known group of isopods to humans. In contrast to other amphibious crustaceans, e.g., land crabs of the family Geocarcinidae or terrestrial hermit crabs of the genus Coenobita Latreille, 1829, no developmental stage (egg, juvenile, etc.) of the Oniscidea requires free water and all biological activities are conducted on land (e.g.,
Various woodlouse species of Germany A Oniscus asellus Linnaeus, 1758 B Armadillidium nasatum Budde-Lund, 1885 C Trachelipus ratzeburgii (Brandt, 1833) D Mesonicus alpicola (Heller, 1858) E Philoscia muscorum (Scopoli, 1763) F Haplophthalmus mariae Strouhal, 1953 G Armadillidium opacum (C. Koch, 1841) H Platyarthrus hoffmannseggii Brandt, 1833. Scale bar: 1 mm. Photograph credits: A–G Jörg Spelda H Armin Rose.
Since its beginning almost 15 years ago, the concept of DNA barcoding for species identification has revolutionized biodiversity research (
In this study we present the first DNA barcode library of terrestrial and freshwater isopods with a focus on Central European species, with a specific emphasis on the Oniscidea. The analyzed barcode library includes 38 terrestrial (78% of the known species of Germany) and five freshwater (63%) species. In summary, 513 new barcodes were generated and a total number of 518 DNA barcodes was analyzed.
Samples used for this study were collected between 2000 and 2018 by pitfall traps, sieves, or by hand. Specimens were stored in ethanol (96%) and identified by two of the authors (MJR, JS) using a combination of keys provided in
Laboratory operations were carried out either at the Canadian Center for DNA Barcoding (CCDB), University of Guelph, following standardized protocols for COI amplification and sequencing (
Comprehensive voucher information, taxonomic classifications, photos, DNA barcode sequences, used primer pairs and trace files including their quality are publicly accessible through the public data set “DS-BISCE” (Dataset ID: dx.doi.org/10.5883/DS-BISCE) on the Barcode of Life Data Systems (BOLD; www.boldsystems.org) (
Following a standardized approach of DNA barcode analysis, the BOLD workbench was used to calculate the nucleotide composition of the sequences and distributions of Kimura-2-parameter distances (K2P;
A neighbor-joining cluster analysis (NJ;
We analyzed 518 DNA barcode sequences of 46 isopod species. A list of species is presented in the supporting information (Suppl. material
Neighbor-joining (NJ) topology of the analyzed isopod species based on Kimura 2-parameter distances. Triangles show the relative number of individual’s sampled (height) and sequence divergence (width). Red triangles highlight terrestrial species with intraspecific maximum pairwise distances > 2.2%, whereas dark blue triangles indicate freshwater species with such distances. Numbers next to nodes represent non-parametric bootstrap values > 90% (1,000 replicates). Asterisks indicate species not recorded in Germany.
Our study revealed very high intraspecific distances for numerous woodlice species (Tab.
Molecular distances based on the Kimura 2-parameter model of the analyzed specimens of the analyzed isopod species with intraspecific distances > 2.2% using the BOLD work bench. ISD = intraspecific distance. BINs are based on the barcode analysis from 05–06–2020. See methods for explanation of basis.
Species | n | BINs | Mean ISD | Max ISD |
---|---|---|---|---|
Armadillidium vulgare (Latreille, 1804) | 28 | AAE6611, AAH4108, AAH4111, AAU1529 | 3.76 | 6.44 |
Asellus aquaticus (Linnaeus, 1758) | 41 | ACF1266, AEC4774, AAA1970 | 4.25 | 13.37 |
Oniscus asellus (Linnaeus, 1758) | 33 | ADM8743, ADM8116, ADK9123 | 2.12 | 5.63 |
Philoscia affinis Verhoeff, 1908 | 3 | ADM8125, AAY1058 | 3.63 | 5.44 |
Philoscia muscorum (Scopoli, 1763) | 38 | AAH4103, AAH4104 | 0.3 | 2.98 |
Platyarthrus hoffmannseggii Brandt, 1833 | 33 | AAV8050, AAV8051, ADK9658 | 9.4 | 29.35 |
Porcellio montanus Budde-Lund, 1885 | 6 | ADR0694, ADM7742 | 1.26 | 3.81 |
Porcellio scaber Latreille, 1804 | 57 | AAC3755, AAZ0248, ABA5892, ADK8850, ADM8147 | 2.58 | 12.16 |
Porcellio spinicornis Say, 1818 | 6 | ADF7011, ADI3596 | 3.01 | 5.13 |
Proasellus cavaticus (Leydig, 1871) | 8 | ADX3790, ADW6988, ADX4659 | 1.61 | 2.95 |
Proasellus coxalis (Dollfus, 1892) | 13 | ACI1746, ACH7545 | 2.81 | 5.78 |
Trachelipus rathkii (Brandt, 1833) | 16 | AAH4102, ADK8699, ADK8533, ADM8087, ADM8088, ADF6188 | 6.89 | 16.59 |
Trichoniscoides helveticus (Carl, 1908) | 23 | ADM7247, ADM7248, ADM7249 | 1.07 | 5.46 |
Trichoniscus pusillus Brandt, 1833 | 22 | AAN7523, AAZ1993 | 6.8 | 13.47 |
First, phylogeographic events may generate different haplotypes and distinct mitochondrial lineages. In the case of European woodlice species, numerous studies showed complex phylogeographic patterns correlated with high variability of the studied mitochondrial markers including COI, e.g., for species of the genus Alpioniscus Racovitza, 1908 (
Subtree of the Neighbor-joining topology based on Kimura 2-parameter distances of all analyzed specimens of Platyarthrus hoffmannseggii Brandt, 1833 and nearest neighbor. Branches with specimen ID-number from BOLD and sample localities. Numbers next to internal nodes are non-parametric bootstrap values (in %) with values higher than 80. BIN values are based on the barcode analysis from 05-06-2020. The isopod drawing by Christian Schmidt was obtained from
Second, the presence of the inherited alpha-proteobacteria Wolbachia Hertig, 1936 can affect the mitochondrial variability in arthropods (e.g.,
Third, the amplification and sequencing of nuclear mitochondrial pseudogenes (numts) can obscure the true mitochondrial variability within a species (
Fourth, many oniscid species, e.g., Armadillidium vulgare (Latreille, 1804), Cylisticus convexus (De Geer, 1778), or Philoscia muscorum (Scopoli, 1763), are characterized by atypical mitochondrial DNA structures that are composed of linear monomers and circular dimers, generating different mitochondrial lineages (
Finally, distinct mitochondrial lineages that correlate with high genetic distances can give evidence for the existence of currently overseen cryptic species. Considering the previous discussed aspects, however, additional morphological and/or nuclear DNA sequence data are essential for a verification of truly distinct lineages. For freshwater and terrestrial isopods, a few studies demonstrated such integrative taxonomic approaches (
Based on the given data we are currently unable to clarify the reasons of the observed high intraspecific variability within some of the analyzed species in detail. We suggest, however, that the detected high distances result from i) phylogeographic effects, ii) Wolbachia infections, iii) atypical mitochondrial DNAs and/or heteroplasmy, or, most likely, iv) various combinations of these phenomena in many cases. More specimens from different geographic regions as well as additional nuclear markers should be analyzed to verify this in detail. Despite these high intraspecific distances and multiple BINs for some species, however, high interspecific distances in combination with monophyletic lineages allow a correct determination of all studied taxa.
The development of new sequencing technologies changed biological science significantly. As a consequence, DNA-based approaches have become more and more popular for the assessment of biodiversity and identification of specimens. Parallel analysis of thousands of specimens, bulk samples (metabarcoding) or environmental DNA (eDNA) will become routinely used techniques in modern species diversity assessment studies (e.g.,
The necessity of DNA barcode reference libraries is also important for the modern molecular-based analysis of soil biodiversity (
We would like to thank Laura von der Mark, Jana Thormann (both
Barcode analysis using the BOLD workbench
Data type: Data table
Explanation note: Molecular distances based on the Kimura 2-parameter model of the analyzed specimens of the analyzed isopod species. Divergence values were calculated for all studied sequences, using the Nearest Neighbor Summary implemented in the Barcode Gap Analysis tool provided by the Barcode of Life Data System (BOLD). Align sequencing option: BOLD aligner (amino acid based HMM), ambiguous base/gap handling: pairwise deletion. ISD = intraspecific distance. BINs are based on the barcode analysis from 05–06–2020. Asterisks indicate species not recorded from Germany. Species pairs with intraspecific distances > 2.2% are marked in bold.
Neighbor-joining topology
Data type: Neighbor-joining topology
Explanation note: Neighbor-joining phylogram of all analyzed isopod specimen based on Kimura 2-parameter distances. Individuals are classified using ID numbers from BOLD and species name. Numbers next to nodes represent non-parametric bootstrap values (1,000 replicates, in %).
Neighbor-joining topology of the BOLD workbench including BIN analysis
Data type: Neighbor-joining topology
Explanation note: Neighbor-joining phylogram of all analyzed isopod specimen based on Kimura 2-parameter distances using the BOLD workbench from 07–06–2020. Individuals are classified using ID numbers from BOLD and species name. Furthermore, geographic information and BIN numbers are provided for each specimen.