2020
DOI: 10.1016/j.ympev.2020.106769
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Utility of targeted sequence capture for phylogenomics in rapid, recent angiosperm radiations: Neotropical Burmeistera bellflowers as a case study

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Cited by 40 publications
(57 citation statements)
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“…Similar findings of the inability to resolve relationships in the backbone of phylogenetic trees, particularly in plant groups with early radiations, are well known (Léveillé‐Bourret et al, 2017). Furthermore, despite the substantial increases in the number of loci via sequence capture, deep backbone phylogenetic relationships with short branches continue to remain unresolved in plant groups such as the Cyperaceae (Léveillé‐Bourret et al, 2017) and Campanulaceae (Bagley et al, 2020), but see both these studies for discussion on possible methodological and phylogenetic analysis solutions towards solving this problem. In common with our observations in orchids, these problematic backbone nodes are characterized by short branches, low bootstrap support, and high levels of gene tree discordance.…”
Section: Discussionmentioning
confidence: 99%
“…Similar findings of the inability to resolve relationships in the backbone of phylogenetic trees, particularly in plant groups with early radiations, are well known (Léveillé‐Bourret et al, 2017). Furthermore, despite the substantial increases in the number of loci via sequence capture, deep backbone phylogenetic relationships with short branches continue to remain unresolved in plant groups such as the Cyperaceae (Léveillé‐Bourret et al, 2017) and Campanulaceae (Bagley et al, 2020), but see both these studies for discussion on possible methodological and phylogenetic analysis solutions towards solving this problem. In common with our observations in orchids, these problematic backbone nodes are characterized by short branches, low bootstrap support, and high levels of gene tree discordance.…”
Section: Discussionmentioning
confidence: 99%
“…Commonly used target enrichment assembly pipelines (e.g., Faircloth 2016;Johnson et al 2016;Andermann et al 2018) use different criteria to flag assembled loci with putative paralogs that are later filtered or processed prior to phylogenetic analysis. The most used common approach for dealing with paralogous loci in target enrichment datasets is removing the entire locus that show any signal of potential paralogy (e.g., Crowl et al 2017;Montes et al 2019;Bagley et al 2020). The removal of paralogous loci can significantly reduce the size of target enrichment datasets and most often do not take in consideration the reason why a locus was flagged for putative paralogy (i.e., allelic variation or gene duplication).…”
Section: Processing Paralogs In Target Enrichment Datasetsmentioning
confidence: 99%
“…Commonly used target enrichment assembly pipelines (e.g.,Faircloth 2016;Andermann et al 2018) use different criteria to flag assembled loci with putative paralogs that are later filtered or sorted prior to phylogenetic analysis. The most common approach for processing paralogs in target enrichment datasets is removing the entire loci that show any signal of potential paralogy (e.g.,Crowl et al 2017;Montes et al 2019;Bagley et al 2020). Other approaches either retain or remove contigs based on the distinction between putative allelic variation (flagged sequences form monophyletic groups) or putative paralogs (non-monophyletic) in combination with study-specific threshold or random selection (e.g.,Villaverde et al;Liu et al 2019; Stubbs et al 2019), or manual processing (e.g.,Garcia et al.…”
mentioning
confidence: 99%
“…Next-generation sequencing data has reinvigorated phylogenetic analyses of traditionally challenging groups characterized by recent or rapid diversification (Wagner et al, 2013;Bagley et al, 2020;Léveillé-Bourret et al, 2020) as well as hybridization (Eaton & Ree, 2013;Carter et al, 2019;Hipp et al, 2020). Reduced representation DNA sequencing approaches [e.g., RADseq; genotyping-by-sequencing (GBS)] have been increasingly utilized in phylogenetic studies due to their ability to effectively sample large numbers of orthologous loci throughout the genomes of non-model organisms without the need for prior genomic resources (Leaché & Oaks, 2017;Parchman et al, 2018).…”
Section: Introductionmentioning
confidence: 99%