2020
DOI: 10.1016/j.ympev.2019.106706
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Phylogeny, biogeography and systematics of the hyper-diverse blister beetle genus Hycleus (Coleoptera: Meloidae)

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Cited by 11 publications
(7 citation statements)
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“…Hence, given the lack of reliable fossil records or useful dated palaeogeographic events to calibrate our trees, we used an average value of the COI substitution rate in a range between 1.5 and 3.54%, which represent the most accurate estimated rate for mitochondrial DNA in coleopterans so far [68][69][70] and hence widely applied in molecular dating of beetle phylogeography and phylogeny (e.g. 6, 23, [71][72][73][74][75]). Therefore, for the molecular clock analysis we applied an average rate of 0.0126.…”
Section: Molecular Phylogeny and Divergence Time Estimationmentioning
confidence: 99%
“…Hence, given the lack of reliable fossil records or useful dated palaeogeographic events to calibrate our trees, we used an average value of the COI substitution rate in a range between 1.5 and 3.54%, which represent the most accurate estimated rate for mitochondrial DNA in coleopterans so far [68][69][70] and hence widely applied in molecular dating of beetle phylogeography and phylogeny (e.g. 6, 23, [71][72][73][74][75]). Therefore, for the molecular clock analysis we applied an average rate of 0.0126.…”
Section: Molecular Phylogeny and Divergence Time Estimationmentioning
confidence: 99%
“…Hycleus is one of the most speciose genera of blister beetles, including 500 species that are mainly distributed throughout the Old World [ 52 ]. In spite of this pattern, there are currently no cytogenetic data for any species of this genus.…”
Section: Introductionmentioning
confidence: 99%
“…Due to the lack of enough morphological identification criteria for insect species, molecular diagnostic tools have been recommended to distinguish among diverse species ( Lewter and Szalanski, 2007 ). Different genetic markers have been performed in insect phylogeny, including mitochondrial and nuclear DNA genes ( Riccieri et al, 2020 ). Molecular data using ribosomal RNA (rRNA) genes has provided valuable insights for understanding genetic diversity and improving classifications for highly diverse insect groups ( Zahiri et al, 2011 ).…”
Section: Introductionmentioning
confidence: 99%