2020
DOI: 10.1111/jse.12580
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Using RAD seq for reconstructing phylogenies of highly diverged taxa: A test using the tribe Scandiceae (Apiaceae)

Abstract: The angiosperm Apiaceae tribe Scandiceae includes four major clades—subtribes Daucinae, Ferulinae, Torilidinae, and Scandicinae—that originated ca. 20 Mya. Although all four subtribes are highly supported in molecular analyses, and morphological data indicate a sister relationship between Daucinae and Torilidinae, their branching order has not been resolved using standard Sanger multilocus data. Therefore, in this study, we test the utility of genomic RAD seq data in resolving deep phylogenetic relationships (… Show more

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Cited by 9 publications
(8 citation statements)
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“…Moreover, R2 reads had very low quality terminal part, especially in one of the libraries. According to ipyrad developers [see discussion on Gitter 25 September 2020 (https://gitter.im/dereneaton/ipyrad)] and from our experience (Piwczyński et al ., 2021), the exclusion of R2 reads usually do not influence the final result. Typical RAD‐seq dataset generated by HiSeq platforms contains reads that are 50–100 bp long.…”
Section: Methodsmentioning
confidence: 99%
“…Moreover, R2 reads had very low quality terminal part, especially in one of the libraries. According to ipyrad developers [see discussion on Gitter 25 September 2020 (https://gitter.im/dereneaton/ipyrad)] and from our experience (Piwczyński et al ., 2021), the exclusion of R2 reads usually do not influence the final result. Typical RAD‐seq dataset generated by HiSeq platforms contains reads that are 50–100 bp long.…”
Section: Methodsmentioning
confidence: 99%
“…(Acanthaceae); however, the number of SNPs included in their data matrices (1,568–53,792, depending on parameter choice) was only greater than that recovered using ISSRseq when the missingness cut‐off was greater than 60%. While variable SNP recovery may be relatively less of a concern for phylogenetic applications (Eaton et al., 2017; Piwczyński et al., 2020; Tripp et al., 2017), they are known to negatively impact estimation of population genetic parameters. For example, missing data are known to bias estimation of effective population size ( N e ) and the inbreeding coefficient ( F is ; Marandel et al., 2020).…”
Section: Discussionmentioning
confidence: 99%
“…(Acanthaceae), however the number of SNPs included in their data matrices (1,568 to 53,792, depending on parameter choice) was only greater than that recovered using ISSRseq when the missingness cutoff was greater than 60%. While variable SNP recovery may be relatively less of a concern for phylogenetic applications (Eaton et al, 2017; Tripp et al, 2017; Piwczyński et al, 2020), they are known to negatively impact estimation of population genetic parameters. For example, missing data are known to bias estimation of effective population size (N e ) and the inbreeding coefficient (F is ; Marandel et al, 2020).…”
Section: Discussionmentioning
confidence: 99%