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Phylogenetic relationships within Pentatomomorpha based on mitogenomic data are consistent with the traditional morphological classification, suggesting that mitogenome sequences are useful for resolving phylogenetic relationships at various taxonomic levels.
This peculiar evolutionary dynamics has hampered the reconstruction of tunicate phylogenetic relationships within chordates based on mitogenomic data.
Phylogenetic analyses based on mitogenomic data strongly support the monophyly of Pentatomoidea, and the estimated phylogenetic relationships are: (Urostylididae + (Plataspidae + (Pentatomidae + (Cydnidae + (Dinidoridae + Tessaratomidae))))).
Nevertheless, the lineage-specific rate acceleration of tunicates probably explains the difficulties previously encountered in reconstructing their phylogenetic position based on mitogenomic data.
Phylogenetic analyses based on mitogenomic data support a close relationship between Afrobatrachia and Microhylidae, with their estimated divergence 100 million years ago consistent with present-day endemism of afrobatrachians on the African continent.
Similar(54)
For example, the origin of acanthomorphs (spiny-rayed fishes), which include nearly one third of all living vertebrates [ 45], is placed in the Triassic (252.2-201.3 Ma) based on mitogenomic age estimates [ 38],[ 40].
If any of these speculations are accurate, one may expect to find some nuclear genes that support the results of the phylogeny based on the mitogenomic data.
Bayesian inference based on the mitogenomic data yields a fully bifurcating, significantly supported tree, though Maximum Likelihood inference yields low support values.
Of the 15 possible tree topologies based on the mitogenomic data, AU tests confidently rejected only three that commonly included the monophyly of Characoidei plus Gymnotiformes (P = 0.001-0.030; Table 5), with likelihoods of the other 12 topologies ranging from 0.051 to 0.702.
13Estimates based on fragmentary data.
Every line is based on research data.
Related(19)
based on empirical data
based on solid data
based on undiscounted data
based on untransformed data
based on morphological data
based on good data
based on secondary data
based on clear data
based on daily data
based on unimputed data
based on fragmentary data
based on complete data
based on routine data
based on false data
based on microsatellite data
based on weighted data
based on raw data
based on genetic data
based on fictitious data
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