Kurt Jordaens

Dr. Kurt Jordaens


Research Focus & Metrics

Academic Career Length

27Years (2000-Present)

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

Representative Publications

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1 April 2015 in Molecular Phylogenetics and Evolution
Verified
Journal Article
Closed access
Massimiliano VirgilioMassimiliano Virgilio
Massimiliano Virgilio
KJKurt Jordaens
Kurt Jordaens
CVChristophe Verwimp
Christophe Verwimp
IWIan M. White
Ian M. White
MMMarc De Meyer
Marc De Meyer

29 June 2016 in BMC Ecology and Evolution
Verified
Journal Article
Open access
PDF file
AYAndrew Donovan Young
Andrew Donovan Young
ALAlan R. Lemmon
Alan R. Lemmon
JSJeffrey Skevington
Jeffrey Skevington
XMXimo Mengual
Ximo Mengual
GSGunilla Ståhls
Gunilla Ståhls
BWBrian Wiegmann
Brian Wiegmann
Anchored hybrid enrichment is a form of next-generation sequencing that uses oligonucleotide probes to target conserved regions of the genome flanked by less conserved regions in order to acquire data useful for phylogenetic inference from a broad range of taxa. Once a probe kit is developed, anchored hybrid enrichment is superior to traditional PCR-based Sanger sequencing in terms of both the amount of genomic data that can be recovered and effective cost. Due to their incredibly diverse nature, importance as pollinators, and historical instability with regard to subfamilial and tribal classification, Syrphidae (flower flies or hoverflies) are an ideal candidate for anchored hybrid enrichment-based phylogenetics, especially since recent molecular phylogenies of the syrphids using only a few markers have resulted in highly unresolved topologies. Over 6200 syrphids are currently known and uncovering their phylogeny will help us to understand how these species have diversified, providing insight into an array of ecological processes, from the development of adult mimicry, the origin of adult migration, to pollination patterns and the evolution of larval resource utilization. We present the first use of anchored hybrid enrichment in insect phylogenetics on a dataset containing 30 flower fly species from across all four subfamilies and 11 tribes out of 15. To produce a phylogenetic hypothesis, 559 loci were sampled to produce a final dataset containing 217,702 sites. We recovered a well resolved topology with bootstrap support values that were almost universally >95 %. The subfamily Eristalinae is recovered as paraphyletic, with the strongest support for this hypothesis to date. The ant predators in the Microdontinae are sister to all other syrphids. Syrphinae and Pipizinae are monophyletic and sister to each other. Larval predation on soft-bodied hemipterans evolved only once in this family. Anchored hybrid enrichment was successful in producing a robustly supported phylogenetic hypothesis for the syrphids. Subfamilial reconstruction is concordant with recent phylogenetic hypotheses, but with much higher support values. With the newly designed probe kit this analysis could be rapidly expanded with further sampling, opening the door to more comprehensive analyses targeting problem areas in syrphid phylogenetics and ecology.

8 September 2012 in International journal of legal medicine
Verified
Journal Article
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KJKurt Jordaens
Kurt Jordaens
GSGontran Sonet
Gontran Sonet
RRRené Richet
René Richet
EDErena Dupont
Erena Dupont
YBYves Braet
Yves Braet
SDStijn Desmyter
Stijn Desmyter

13 March 2023 in Molecular Phylogenetics and Evolution
Verified
Journal Article
Closed access
DWDaniel Wong
Daniel Wong
HNHannah Norman
Hannah Norman
TCThomas J. Creedy
Thomas J. Creedy
KJKurt Jordaens
Kurt Jordaens
KMKevin M. Moran
Kevin M. Moran
AVAlfried Vogler
Alfried Vogler

16 October 2015 in PLOS ONE
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Journal Article
Open access
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KJKurt Jordaens
Kurt Jordaens
GGGeorg Goergen
Georg Goergen
Massimiliano VirgilioMassimiliano Virgilio
Massimiliano Virgilio
TBThierry Backeljau
Thierry Backeljau
AVAudrey Vokaer
Audrey Vokaer
MMMarc De Meyer
Marc De Meyer
The identification of Afrotropical hoverflies is very difficult because of limited recent taxonomic revisions and the lack of comprehensive identification keys. In order to assist in their identification, and to improve the taxonomy of this group, we constructed a reference dataset of 513 COI barcodes of 90 of the more common nominal species from Ghana, Togo, Benin and Nigeria (W Africa) and added ten publically available COI barcodes from nine nominal Afrotropical species to this (total: 523 COI barcodes; 98 nominal species; 26 genera). The identification accuracy of this dataset was evaluated with three methods (K2P distance-based, Neighbor-Joining (NJ) / Maximum Likelihood (ML) analysis, and using SpeciesIdentifier). Results of the three methods were highly congruent and showed a high identification success. Nine species pairs showed a low (< 0.03) mean interspecific K2P distance that resulted in several incorrect identifications. A high (> 0.03) maximum intraspecific K2P distance was observed in eight species and barcodes of these species not always formed single clusters in the NJ / ML analayses which may indicate the occurrence of cryptic species. Optimal K2P thresholds to differentiate intra- from interspecific K2P divergence were highly different among the three subfamilies (Eristalinae: 0.037, Syrphinae: 0.06, Microdontinae: 0.007–0.02), and among the different general suggesting that optimal thresholds are better defined at the genus level. In addition to providing an alternative identification tool, our study indicates that DNA barcoding improves the taxonomy of Afrotropical hoverflies by selecting (groups of) taxa that deserve further taxonomic study, and by attributing the unknown sex to species for which only one of the sexes is known.

30 December 2013 in ZooKeys
Verified
Journal Article
Open access
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KJKurt Jordaens
Kurt Jordaens
GSGontran Sonet
Gontran Sonet
YBYves Braet
Yves Braet
MMMarc de Meyer
Marc de Meyer
TBThierry Backeljau
Thierry Backeljau
SDStijn Desmyter
Stijn Desmyter
Phormia regina (the black fly) is a common Holarctic blow fly species which serves as a primary indicator taxon to estimate minimal post mortem intervals. It is