2013
DOI: 10.1016/j.ympev.2012.09.029
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Application of the phylogenetic informativeness method to chloroplast markers: A test case of closely related species in tribe Hydrangeeae (Hydrangeaceae)

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Cited by 30 publications
(34 citation statements)
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“…Moreover, this study suggested that the infrageneric classification of Hydrangea proposed by McClintock (1957) is in need of revision. In a more recent study, Granados Mendoza & al. (2013) tested the utility of 13 plastid markers using a reduced sampling for resolving backbone relationships within tribe Hydrangeeae (Broussaisia not included).…”
Section: Introductionmentioning
confidence: 93%
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“…Moreover, this study suggested that the infrageneric classification of Hydrangea proposed by McClintock (1957) is in need of revision. In a more recent study, Granados Mendoza & al. (2013) tested the utility of 13 plastid markers using a reduced sampling for resolving backbone relationships within tribe Hydrangeeae (Broussaisia not included).…”
Section: Introductionmentioning
confidence: 93%
“…-Total genomic DNA was extracted from leaf tissue using a modified CTAB method (Doyle & Doyle, 1987). Four noncoding plastid regions, previously shown to be phylogenetically informative for tribe Hydrangeeae (Granados Mendoza & al., 2013), were utilized in this study. The rpl32-ndhF intergenic spacer (IGS), trnV-ndhC IGS, trnL-rpl32 IGS and the ndhA intron were sequenced for all accessions.…”
Section: Version Of Recordmentioning
confidence: 99%
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“…Enormous progress has been made in the development of realistic, powerful evolutionary models for phylogenetic inference, and studies have demonstrated that using correct evolutionary models on a same data set can be essential to making correct inferences (e.g., Sullivan and Swofford, 1997;Kelsey et al, 1999;Ripplinger and Sullivan, 2010). Nonetheless, still larger gains in accuracy of inference could be obtained by optimal selection of the data to be gathered to address the phylogenetic question at hand (Goldman, 1998;Townsend et al, 2008;Tekle et al, 2010;Fong and Fujita, 2011;Moeller and Townsend, 2011;Crawley and Hilu, 2012;Horreo, 2012;Silva et al, 2012;Walker et al, 2012;Granados Mendoza et al, 2013). Furthermore, given the advance of next-generation sequencing methods, such as RAD Sequencing (Baird et al, 2008) and anchored hybrid enrichment (Lemmon et al, 2012), which allow generation of sequence data from hundreds to thousands of putatively orthologous loci, it is becoming increasingly important to either selectively generate or selectively filter the immense data sets generated by nextgeneration sequencing methods.…”
Section: Introductionmentioning
confidence: 99%