Michael J. Raupach

Dr. Michael J. Raupach

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Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 May 2007 in Nature
Verified
Journal Article
Closed access
ABAngelika Brandt
Angelika Brandt
AGAndrew J. Gooday
Andrew J. Gooday
SBSimone Nunes Brandão
Simone Nunes Brandão
SBSaskia Brix
Saskia Brix
WBWiebke Brökeland
Wiebke Brökeland
AVAnn Vanreusel
Ann Vanreusel

9 September 2014 in PLOS ONE
Verified
Journal Article
Open access
PDF file
MRMichael J. Raupach
Michael J. Raupach
LHLars Hendrich
Lars Hendrich
SKStefan M. Küchler
Stefan M. Küchler
FDFabian Deister
Fabian Deister
JMJérome Morinière
Jérome Morinière
MGMartin M. Gossner
Martin M. Gossner
During the last few years, DNA barcoding has become an efficient method for the identification of species. In the case of insects, most published DNA barcoding studies focus on species of the Ephemeroptera, Trichoptera, Hymenoptera and especially Lepidoptera. In this study we test the efficiency of DNA barcoding for true bugs (Hemiptera: Heteroptera), an ecological and economical highly important as well as morphologically diverse insect taxon. As part of our study we analyzed DNA barcodes for 1742 specimens of 457 species, comprising 39 families of the Heteroptera. We found low nucleotide distances with a minimum pairwise K2P distance 2.2% were detected for 16 traditionally recognized and valid species. With a successful identification rate of 91.5% (418 species) our study emphasizes the use of DNA barcodes for the identification of true bugs and represents an important step in building-up a comprehensive barcode library for true bugs in Germany and Central Europe as well. Our study also highlights the urgent necessity of taxonomic revisions for various taxa of the Heteroptera, with a special focus on various species of the Miridae. In this context we found evidence for on-going hybridization events within various taxonomically challenging genera (e.g. Nabis Latreille, 1802 (Nabidae), Lygus Hahn, 1833 (Miridae), Phytocoris Fallén, 1814 (Miridae)) as well as the putative existence of cryptic species (e.g. Aneurus avenius (Duffour, 1833) (Aradidae) or Orius niger (Wolff, 1811) (Anthocoridae)).

29 September 2015 in PLOS ONE
Verified
Journal Article
Open access
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MRMichael J. Raupach
Michael J. Raupach
ABAndrea Barco
Andrea Barco
DSDirk Steinke
Dirk Steinke
JBJan Beermann
Jan Beermann
SLSilke Laakmann
Silke Laakmann
TKThomas Knebelsberger
Thomas Knebelsberger
During the last years DNA barcoding has become a popular method of choice for molecular specimen identification. Here we present a comprehensive DNA barcode library of various crustacean taxa found in the North Sea, one of the most extensively studied marine regions of the world. Our data set includes 1,332 barcodes covering 205 species, including taxa of the Amphipoda, Copepoda, Decapoda, Isopoda, Thecostraca, and others. This dataset represents the most extensive DNA barcode library of the Crustacea in terms of species number to date. By using the Barcode of Life Data Systems (BOLD), unique BINs were identified for 198 (96.6%) of the analyzed species. Six species were characterized by two BINs (2.9%), and three BINs were found for the amphipod species Gammarus salinus Spooner, 1947 (0.4%). Intraspecific distances with values higher than 2.2% were revealed for 13 species (6.3%). Exceptionally high distances of up to 14.87% between two distinct but monophyletic clusters were found for the parasitic copepod Caligus elongatus Nordmann, 1832, supporting the results of previous studies that indicated the existence of an overlooked sea louse species. In contrast to these high distances, haplotype-sharing was observed for two decapod spider crab species, Macropodia parva Van Noort & Adema, 1985 and Macropodia rostrata (Linnaeus, 1761), underlining the need for a taxonomic revision of both species. Summarizing the results, our study confirms the application of DNA barcodes as highly effective identification system for the analyzed marine crustaceans of the North Sea and represents an important milestone for modern biodiversity assessment studies using barcode sequences.

1 January 2010 in Frontiers in Zoology
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Journal Article
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MRMichael J. Raupach
Michael J. Raupach
JAJonas J Astrin
Jonas J Astrin
KHKarsten Hannig
Karsten Hannig
MPMarcell K Peters
Marcell K Peters
MSMark Y Stoeckle
Mark Y Stoeckle
JWJohann-Wolfgang Wägele
Johann-Wolfgang Wägele
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.

11 January 2024 in ZooKeys
Verified
Journal Article
Open access
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AHAmelie Höcherl
Amelie Höcherl
MSMark Shaw
Mark Shaw
CBCaroline Boudreault
Caroline Boudreault
Dominik RablDominik Rabl
Dominik Rabl
GHGerhard Haszprunar
Gerhard Haszprunar
JFJosé Fernández-Triana
José Fernández-Triana
Substantial parts of the European and German insect fauna still remain largely unexplored, the so-called “dark taxa”. In particular, midges (Diptera) and parasitoid wasps (Hymenoptera) are abundant and species-rich throughout Europe, yet are often neglected in biodiversity research. One such dark taxon is Microgastrinae wasps (Hymenoptera: Braconidae), a group of parasitoids of lepidopteran caterpillars with 252 species reported in Germany so far. As part of the German Barcode of Life Project GBOL III: Dark Taxa, reverse DNA barcoding and integrative taxonomic approaches were used to shed some light on the German Fauna of Microgastrinae wasps. In our workflow, DNA barcoding was used for molecular clustering of our specimens in a first step, morphological examination of the voucher specimens in a second step, and host data compared in a third step. Here, 30 species are reported for the first time in Germany, adding more than 10% to the known German fauna. Information for four species is provided in a new Holarctic context, reporting them for the Nearctic or, respectively, Palaearctic region, and 26 additional country records are added from sequenced material available in the collections accessible to us. Molecular clusters that show signs of discrepancies are discussed. Results show that we are just scratching the tip of the iceberg of the unexplored Microgastrinae diversity in Germany.

12 January 2022 in Insects
Verified
Journal Article
Open access
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CCCaroline Chimeno
Caroline Chimeno
AHAxel Hausmann
Axel Hausmann
SSStefan Schmidt
Stefan Schmidt
MRMichael J. Raupach
Michael J. Raupach
DDDieter Doczkal
Dieter Doczkal
PHPaul Hebert
Paul Hebert
Determining the size of the German insect fauna requires better knowledge of several megadiverse families of Diptera and Hymenoptera that are taxonomically challenging. This study takes the first step in assessing these “dark taxa” families and provides species estimates for four challenging groups of Diptera (Cecidomyiidae, Chironomidae, Phoridae, and Sciaridae). These estimates are based on more than 48,000 DNA barcodes (COI) from Diptera collected by Malaise traps that were deployed in southern Germany. We assessed the fraction of German species belonging to 11 fly families with well-studied taxonomy in these samples. The resultant ratios were then used to estimate the species richness of the four “dark taxa” families (DT families hereafter). Our results suggest a surprisingly high proportion of undetected biodiversity in a supposedly well-investigated country: at least 1800–2200 species await discovery in Germany in these four families. As this estimate is based on collections from one region of Germany, the species count will likely increase with expanded geographic sampling.