A mitochondrial genome phylogeny of Diptera: whole genome sequence data accurately resolve relationships over broad timescales with high precision
By S. Cameron, C. Lambkin, S. Barker, Michael Whiting. 2007
282 citations recorded by the source corpus.
Subfields: Ecology, Evolution, Behavior and Systematics, Genetics
View Paper: https://www.semanticscholar.org/paper/8afc57c617a3273a7ec5d890ebd1f289c953f4ed
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In Ecology, Evolution, Behavior and Systematics
In Genetics
Citations in the corpus
- How to sequence and annotate insect mitochondrial genomes for systematic and comparative genomics research (2014, background): “gests that they are likely nonfunctional (Cameron et al., 2007).”
- Phylogeny and systematics of Diptera: Two decades of progress and prospects (2007, unknown): “Analyses that use the phylogenetic information in entire mitochondrial genomes, containing just over 16,000 nucleotides, have just begun to appear (Cameron et al. 2007) and show that this data source can recover dipteran phylogeny over time scales dating to the early Mesozoic.”
- Insect mitochondrial genomics: implications for evolution and phylogeny. (2014, background): “Relationships between brachyceran families are highly congruent (21), and mt genomes provided the first evidence for a now-resurrected Orthorrhapha.”
- Multi‐gene phylogenetic analysis of south‐east Asian pest members of the Bactrocera dorsalis species complex (Diptera: Tephritidae) does not support current taxonomy (2014, background): “…of molecular variation previously found within the dorsalis complex for cox1 (Armstrong and Ball 2005), the additional mitochondrial genes trialled were chosen in an effort to maximize variability based on the previous analyses of dipteran mt genomes (Cameron et al. 2007; Nelson et al. 2012).”
- A mitochondrial genome phylogeny of the Neuropterida (lace‐wings, alderflies and snakeflies) and their relationship to the other holometabolous insect orders (2009, methodology): “We address both these questions using whole mitochondrial (mt) genome data which we have previously found to be particularly useful for resolving deep level relationships such as those between (e.g. Cameron et al. 2006) and within insect orders (e.g. Cameron et al. 2007; Fenn et al. 2008).”