2022
DOI: 10.1016/j.ympev.2021.107342
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How challenging RADseq data turned out to favor coalescent-based species tree inference. A case study in Aichryson (Crassulaceae)

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Cited by 17 publications
(17 citation statements)
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“…Variable SNP loci from all samples were filtered and clustered de novo in ipyrad v0.9.82 [ 62 ] using default options for diploids except for the parameter clust_threshold (i.e., the level of sequence similarity at which two sequences are identified as being homologous, and thus cluster together). Clustering threshold (ct) selection approaches aim at determining appropriate ct values to establish homology while avoiding clustering of paralogous RAD-seq loci [ 63 ]. Application of such a strategy is highly popular to reduce the risk of introducing assembly error to the dataset e.g., [ 63 , 64 , 65 , 66 , 67 ], ensuring the assembly of homologous loci and maximizing sequence variation.…”
Section: Methodsmentioning
confidence: 99%
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“…Variable SNP loci from all samples were filtered and clustered de novo in ipyrad v0.9.82 [ 62 ] using default options for diploids except for the parameter clust_threshold (i.e., the level of sequence similarity at which two sequences are identified as being homologous, and thus cluster together). Clustering threshold (ct) selection approaches aim at determining appropriate ct values to establish homology while avoiding clustering of paralogous RAD-seq loci [ 63 ]. Application of such a strategy is highly popular to reduce the risk of introducing assembly error to the dataset e.g., [ 63 , 64 , 65 , 66 , 67 ], ensuring the assembly of homologous loci and maximizing sequence variation.…”
Section: Methodsmentioning
confidence: 99%
“…Clustering threshold (ct) selection approaches aim at determining appropriate ct values to establish homology while avoiding clustering of paralogous RAD-seq loci [ 63 ]. Application of such a strategy is highly popular to reduce the risk of introducing assembly error to the dataset e.g., [ 63 , 64 , 65 , 66 , 67 ], ensuring the assembly of homologous loci and maximizing sequence variation. To do so, a ct range of 0.85–0.99 (in 0.01 increments) was tested and assembly results were plotted ( Figure S2 ).…”
Section: Methodsmentioning
confidence: 99%
“…Different analytical approaches of the RADseq data resulted in partly incongruent patterns outlined in the sections “Results” and “Discussion” above, which is often the case in phylogenetic analyses of such data ( Wagner et al, 2020 ; Cai et al, 2021 ; Rose et al, 2021 ; Hühn et al, 2022 ). Both biological as well as methodological factors can be responsible for the observed incongruences.…”
Section: Discussionmentioning
confidence: 99%
“…The disadvantages of restriction-enzyme based methods are locus dropout and hence, many missing data which requires many bioinformatic filtering and optimization steps. For polyploids, filtering paralogs and correct assembly of heterozygous loci can be a challenge, but estimates of heterozygosity are possible given sufficient sequencing depth and quality as well as appropriate clustering tresholds of loci [211,212]. Finally, RAD-data are usually re-usable only within a genus, but not across more divergent taxa [199].…”
Section: Recognition Of Existing Lineages: Methodical Advances In The...mentioning
confidence: 99%