2016
DOI: 10.1371/journal.pone.0163529
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Genomic Mining of Phylogenetically Informative Nuclear Markers in Bark and Ambrosia Beetles

Abstract: Deep level insect relationships are generally difficult to resolve, especially within taxa of the most diverse and species rich holometabolous orders. In beetles, the major diversity occurs in the Phytophaga, including charismatic groups such as leaf beetles, longhorn beetles and weevils. Bark and ambrosia beetles are wood boring weevils that contribute 12 percent of the diversity encountered in Curculionidae, one of the largest families of beetles with more than 50000 described species. Phylogenetic resolutio… Show more

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Cited by 10 publications
(19 citation statements)
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“…1). As many genera as possible were represented, except for the previously well sampled HDAC Rpd3_for1 GARTAYAAYAARCARATGC and HDAC Rpd3_for2 CRGARATYTGYATHAAYTGGGG -to use with previously published reverse primers (Pistone et al, 2016). The optimal annealing temperature for these primers was 52 ∘ C for FEN1 and 62 ∘ C for HDAC Rpd3.…”
Section: Methodsmentioning
confidence: 99%
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“…1). As many genera as possible were represented, except for the previously well sampled HDAC Rpd3_for1 GARTAYAAYAARCARATGC and HDAC Rpd3_for2 CRGARATYTGYATHAAYTGGGG -to use with previously published reverse primers (Pistone et al, 2016). The optimal annealing temperature for these primers was 52 ∘ C for FEN1 and 62 ∘ C for HDAC Rpd3.…”
Section: Methodsmentioning
confidence: 99%
“…Nucleotide sequences were blasted in GenBank for gene target verification, accepting a minimum E value threshold of 1E-4. All genes considered in this study were previously examined for paralogy and/or multiple copies in the OrthoDB database (Waterhouse et al, 2013) and the majority of them (with the exclusion of Arr2, Iap2 and SOD1) were frequently present in single copy in arthropod genomes (Pistone et al, 2016). Careful phylogenetic analyses of each of the three genes with potential multiple copies did not indicate signs of anomalous relationships between sequences (Pistone et al, 2016).…”
Section: Methodsmentioning
confidence: 99%
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