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The EST-associated matrix is more complete (fewer missing loci) and has slightly lower homoplasy than non-EST subsampled matrices of the same size, but there is no difference in phylogenetic support or relative attribution of base substitutions to internal versus terminal branches of the phylogeny.
Furthermore, four studies included isolates with missing loci in the cluster analysis, whereas four excluded isolates with missing loci and the remaining 20 did not report how they dealt with missing loci.
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Transcriptome sequencing results in thousands of orthologous nuclear loci, but requires living, flash frozen, or specially preserved tissue for RNA extraction, is subject to large amounts of missing loci across samples, and does not as effectively sample rapidly evolving noncoding regions.
When considering only trailing end gaps and missing loci as missing data, the entire concatenated matrix was 90.3%% complete.
The missing loci were introduced for each and every genotype in the simulated data by randomly drawing with replacement a genotype in the empirical data and deleting all loci in the simulated genotype that were found to be missing in the empirical genotype sampled.
Additional filtering included removing loci absent in ≥5% of individuals and individuals with ≥10% of missing loci.
The percentage of missing loci was related to evolutionary divergence between the samples analyzed and the reference, with G. longicalyx, G. barbadense, and wild G. hirsutum line TX0231 exhibiting the largest percentages of missing data (in decreasing order).
Using bootstrapped datasets (n = 10,000), a threshold of 6 was established for a maximum acceptable number of missing loci.
Simulated genotypes have no missing loci; therefore, before estimating Ne, we introduced missing loci to emulate the empirical data structure that had missing loci.
As the rate of missing loci increases the sequences become less informative.
All four resequenced genomes were also mapped to their respective finished genomes to look for the missing loci.
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