2023
DOI: 10.1016/j.ympev.2023.107834
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Species boundaries to the limit: Integrating species delimitation methods is critical to avoid taxonomic inflation in the case of the Hajar banded ground gecko (Trachydactylus hajarensis)

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Cited by 8 publications
(4 citation statements)
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“…Then, for each dataset three independent ipyrad runs were performed using different clustering parameters for both filtered and consensus sequences (step 3 and 6 in ipyrad, respectively): 0.85, 0.89 and 0.92, selecting the clustering that maximized the number of samples without significantly reducing the number of loci retained (0.85 with the outgroup and 0.89 for both datasets without the outgroup). Then, following recommendations from O’Leary et al, (2018), we used Radiator (Gosselin et al, 2017), Plink2 (Chang et al, 2015) and VCFr (Knaus & Grünwald, 2017) implemented in a custom script (https://github.com/BernatBurriel/Post_processing_filtering) from Burriel-Carranza et al, (2023a) to filter iteratively and alternatively low-quality samples and loci. For all datasets, values of missing data allowance ranged from 98% to 60% of missing genotype call rate and missing data per individual, decreasing 2% between iterations.…”
Section: Methodsmentioning
confidence: 99%
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“…Then, for each dataset three independent ipyrad runs were performed using different clustering parameters for both filtered and consensus sequences (step 3 and 6 in ipyrad, respectively): 0.85, 0.89 and 0.92, selecting the clustering that maximized the number of samples without significantly reducing the number of loci retained (0.85 with the outgroup and 0.89 for both datasets without the outgroup). Then, following recommendations from O’Leary et al, (2018), we used Radiator (Gosselin et al, 2017), Plink2 (Chang et al, 2015) and VCFr (Knaus & Grünwald, 2017) implemented in a custom script (https://github.com/BernatBurriel/Post_processing_filtering) from Burriel-Carranza et al, (2023a) to filter iteratively and alternatively low-quality samples and loci. For all datasets, values of missing data allowance ranged from 98% to 60% of missing genotype call rate and missing data per individual, decreasing 2% between iterations.…”
Section: Methodsmentioning
confidence: 99%
“…We used BEAST2 v.2.6.4 (Bouckaert et al, 2019) to reconstruct a Bayesian Inference (BI) time-calibrated tree. We calibrated the phylogeny dating the deepest node in the phylogeny (between Echis and Cerastes ), as suggested by Stange et al, (2018) and also implemented in previous studies focused on reptiles (Burriel-Carranza et al, 2023a, 2023b; Thanou et al 2023), with a normal distribution from a mean age of 28 million years ago (Mya) (Šmíd & Tolley, 2019) and encompassing a 95% HPD interval (25.65-31.55 Mya). We selected a GTR model with four gamma categories (base frequencies and proportion of invariant sites were estimated), and a relaxed clock LogNormal was used with a coalescent constant population tree prior.…”
Section: Methodsmentioning
confidence: 99%
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