2019
DOI: 10.1038/s41467-019-10244-7
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Increasing species sampling in chelicerate genomic-scale datasets provides support for monophyly of Acari and Arachnida

Abstract: Chelicerates are a diverse group of arthropods, represented by such forms as predatory spiders and scorpions, parasitic ticks, humic detritivores, and marine sea spiders (pycnogonids) and horseshoe crabs. Conflicting phylogenetic relationships have been proposed for chelicerates based on both morphological and molecular data, the latter usually not recovering arachnids as a clade and instead finding horseshoe crabs nested inside terrestrial Arachnida. Here, using genomic-scale datasets and analyses optimised f… Show more

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Cited by 108 publications
(171 citation statements)
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References 48 publications
(76 reference statements)
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“…Based on current best practice, our analysis uses fossil calibrations following the guidelines set out by Parham et al (2012) (see Table 1 and Supplementary Data Sheet S4). Furthermore, we report divergence times on a well-sampled phylogeny , using the best-fitting molecular substitution and relaxed molecular clock models (see Lozano-Fernandez et al, 2019). We therefore contend that our findings provide the currently most robust insights into early chelicerate evolution (Figure 1).…”
Section: Discussionmentioning
confidence: 86%
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“…Based on current best practice, our analysis uses fossil calibrations following the guidelines set out by Parham et al (2012) (see Table 1 and Supplementary Data Sheet S4). Furthermore, we report divergence times on a well-sampled phylogeny , using the best-fitting molecular substitution and relaxed molecular clock models (see Lozano-Fernandez et al, 2019). We therefore contend that our findings provide the currently most robust insights into early chelicerate evolution (Figure 1).…”
Section: Discussionmentioning
confidence: 86%
“…Divergence time estimation was performed using PhyloBayes 3.3f (serial version) (Lartillot et al, 2009). We fixed the topology following Lozano-Fernandez et al (2019), see previous section. We compared the fit of alternative, autocorrelated (CIR model - Lepage et al, 2006Lepage et al, , 2007 and uncorrelated (uncorrelated gamma multipliers model; UGAM -Drummond et al, 2006), relaxed molecular clock models generating ten different random splits replicates and performing crossvalidation analyses (see PhyloBayes manual for details).…”
Section: Molecular Clock Analysesmentioning
confidence: 99%
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