2015
DOI: 10.1163/1937240x-00002371
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The forest for the trees: evaluating molecular phylogenies with an emphasis on higher-level Decapoda

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Cited by 45 publications
(30 citation statements)
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References 161 publications
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“…In indirect support of this, our phylogenetic analyses produced highly unorthodox crustacean topologies, with numerous LBA artefacts, regardless of the fact that we used amino acid datasets and an algorithm designed to account for compositional heterogeneity. This supports our previous observation that composition skews in some crustacean lineages are too strong to be resolved using the currently available strategies for compositional heterogeneity (Zhang et al 2019b;Zou et al 2020), and indirectly explains a proportion of the contradictory hypotheses put forward for the phylogeny and taxonomy of crustaceans in the past (Timm and Bracken-Grissom 2015;Lozano-Fernandez et al 2019).…”
Section: No Class Subclass Order Suborder/family Genus/species Gc Cosupporting
confidence: 89%
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“…In indirect support of this, our phylogenetic analyses produced highly unorthodox crustacean topologies, with numerous LBA artefacts, regardless of the fact that we used amino acid datasets and an algorithm designed to account for compositional heterogeneity. This supports our previous observation that composition skews in some crustacean lineages are too strong to be resolved using the currently available strategies for compositional heterogeneity (Zhang et al 2019b;Zou et al 2020), and indirectly explains a proportion of the contradictory hypotheses put forward for the phylogeny and taxonomy of crustaceans in the past (Timm and Bracken-Grissom 2015;Lozano-Fernandez et al 2019).…”
Section: No Class Subclass Order Suborder/family Genus/species Gc Cosupporting
confidence: 89%
“…Over the last few decades, the phylogeny and taxonomy of crustaceans were characterised by a bewildering array of often highly contradictory hypotheses (Schram 2001;Timm and Bracken-Grissom 2015;Lozano-Fernandez et al 2019), many of which were derived using mitochondrial molecular data, e.g. (Wetzer 2002;Tan et al 2015Tan et al , 2019Timm and Bracken-Grissom 2015;Cheng et al 2018).…”
Section: Introductionmentioning
confidence: 99%
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“…13). Decapod monophyly is established by phylogenetic analysis of protein-coding genes (Bracken et al, 2009;Bybee et al, 2011;Timm and Bracken-Grissom, 2015), morphology (Legg et al, 2013;Richter and Scholtz, 2001), and combined morphology and molecular data ). Analyses of whole mitochondrial genomes place Euphausiacea (krill) within Decapoda (Shen et al, 2015), a result congruent with acquisition of a nauplius larval stage (though this is accepted as convergent: (Jirikowski et al, 2013;Scholtz, 2000).…”
Section: Crown Decapodamentioning
confidence: 99%
“…The data collected during the DEEPEND cruises have enabled various studies to understand the oceanic environments in the northern GoM including remote sensing studies of surface salinity changes (Chen & Hu, 2017); evaluation of atmospheric correction schemes for satellite measurements (Zhang et al, 2018); development of validation criteria for satellite-derived ocean properties (Barnes et al, 2019); the use of glider data to observe vertical migration of Karenia brevis (Hu et al, 2016); the influence of light and oceanographic structuring on acoustically observed deep scattering layer patterns (Boswell et al, 2018); the use of genome-scale ddRADseq methods to elucidate genetic diversity and connectivity patterns, and phylogenetic diversity in cephalopods (Timm et al, 2018b), crustaceans (Robalino et al, 2016;Timm & Bracken-Grissom, 2015;Timm et al, 2018aTimm et al, , 2018c, and fishes; use of molecular genetics to characterize microbial community structures (Easson & Lopez, 2018), which in turn can support the identification of mesoscale oceanographic features ; the use of PAHs to understand bioaccumulation patterns of toxic compounds in deep-pelagic fauna; and use of the HYCOM model to classify and predict physical oceanographic features in the GoM Johnston et al, 2018). Altogether, this work represents substantial progress in understanding how pelagic ecosystems are structured and connected through the GoM across a range of spatial and tem-poral scales, the physical and chemical drivers that most strongly influence the fauna, and improves our understanding of how these ecosystems may be influenced by anthropogenic impacts in the future.…”
Section: Discussionmentioning
confidence: 99%