2018
DOI: 10.1016/j.ympev.2018.05.018
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Plastome sequences and exploration of tree-space help to resolve the phylogeny of riceflowers (Thymelaeaceae: Pimelea)

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Cited by 25 publications
(25 citation statements)
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“…In this study, inclusion of non-coding regions altered tree topology in the tribe Laureae, suggesting the existence of a conflicting signal between coding and non-coding regions. Non-coding regions are often discarded for being uninformative, or for being misleading due to saturation at deep time scales ( Foster, Henwood & Ho, 2018 ). In our study, tree topologies based on coding and non-coding regions were largely congruent, except for the relationships among the three subclades ( Figs.…”
Section: Discussionmentioning
confidence: 99%
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“…In this study, inclusion of non-coding regions altered tree topology in the tribe Laureae, suggesting the existence of a conflicting signal between coding and non-coding regions. Non-coding regions are often discarded for being uninformative, or for being misleading due to saturation at deep time scales ( Foster, Henwood & Ho, 2018 ). In our study, tree topologies based on coding and non-coding regions were largely congruent, except for the relationships among the three subclades ( Figs.…”
Section: Discussionmentioning
confidence: 99%
“…Most relevant studies have focused on incongruent tree topologies among different genomic compartments ( Sun et al, 2015 ; Zhao et al, 2016 ; Walker et al, 2019 ) because these genes have evolved independently and their gene tree topologies have been influenced by biological processes. By contrast, relatively few studies have focused on tree conflicts among plastid genes (e.g., Foster, Henwood & Ho, 2018 ; Gonçalves et al, 2019 ; Walker et al, 2019 ; Zhang et al, 2020 ). Usually, plastomes are considered to be uniparentally inherited and to have evolved as a single unit, free from such biological sources of conflict ( Birky, 1995 ; Wicke et al, 2011 ).…”
Section: Introductionmentioning
confidence: 99%
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“…Chloroplast data are used at various time scales, and the accumulation of substitutions over long periods of evolutionary time increases the probability of encountering systematic error due to saturation (Rodríguez-Ezpeleta et al, 2007; Philippe et al, 2011). Conflict has been demonstrated among different functional groups of genes (Liu et al, 2012), among different regions of the plastome (Davis et al, 2013; Walker, Zanis & Emery, 2014), as well as among individual genes (e.g., Shepherd, Holland & Perrie, 2008; Foster, Henwood & Ho, 2018; Gonçalves et al, 2019). The rate of chloroplast evolution as a whole has been examined (and compared with the nuclear and mitochondrial genomes; Wolfe, Li & Sharp, 1987), and rate variation within the chloroplast—especially across the three major regions of the genome, i.e., the large single-copy (LSC) region, the small single-copy (SSC) region, and the inverted repeats (IRa, IRb)—has been explored to help determine the markers useful for phylogenetic inference at different time scales (e.g., Graham & Olmstead, 2000; Shaw et al, 2005; Shaw et al, 2007; Shaw et al, 2014).…”
Section: Introductionmentioning
confidence: 99%
“…Chloroplast data are used at various time scales, and the accumulation of substitutions over long periods of evolutionary time increases the probability of encountering systematic error due to saturation (Rodríguez-Ezpeleta et al, 2007; Philippe et al, 2011). Conflict has been demonstrated among different functional groups of genes (Liu et al, 2012), among different regions of the plastome (Walker et al, 2014), as well as among individual genes (e.g., Shepherd et al, 2008, Foster et al 2018). The rate of chloroplast evolution as a whole has been examined (and compared with the nuclear and mitochondrial genomes; Wolfe, 1987), and rate variation within the chloroplast—especially across the three major regions of the genome, i.e., the long single-copy (LSC) region, the short single-copy (SSC) region, and the inverted repeats (IRa, IRb)—has been explored to help determine the markers useful for phylogenetic inference at different time scales (e.g., Graham and Olmstead, 2000; Shaw et al, 2005, 2007, 2014).…”
mentioning
confidence: 99%