2021
DOI: 10.1101/2021.10.18.464293
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Conserved chromatin and repetitive patterns reveal slow genome evolution in frogs

Abstract: Frogs are an ecologically diverse and phylogenetically ancient group of living amphibians that include important vertebrate cell and developmental model systems, notably the genus Xenopus. Here we report a high-quality reference genome sequence for the western clawed frog, Xenopus tropicalis, along with draft chromosome-scale sequences of three distantly related emerging model frog species, Eleutherodactylus coqui, Engystomops pustulosus and Hymenochirus boettgeri. Frog chromosomes have remained remarkably sta… Show more

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Cited by 8 publications
(10 citation statements)
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References 160 publications
(135 reference statements)
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“…The mitochondrial genome was assembled from adapter trimmed data using organelle_pipeline.py version 1.0 (Bredeson et al, 2021) and NOVOPlasty version 2.6.3 (Dierckxsens et al, 2017), starting with other Pipidae mitochondrial assemblies available on NCBI as input seeds. The assembly was screened with general_decon.sh version 1.0 (Mudd et al, 2020) to identify archaea, bacteria, virus and vector contaminants using the respective RefSeq and UniVec databases, queried using mt_decon.sh version 1.0 (Mudd et al, 2020) against the mitochondrial assembled sequence and filtered using nt_decon.sh version 1.0 (Bredeson et al, 2021) against the NT database and other completed frog assemblies. The assembly was then run through align_pipeline.sh version 1.0 (Bredeson et al, 2021) to identify and remove duplicate haplotype sequences.…”
Section: Methodsmentioning
confidence: 99%
See 2 more Smart Citations
“…The mitochondrial genome was assembled from adapter trimmed data using organelle_pipeline.py version 1.0 (Bredeson et al, 2021) and NOVOPlasty version 2.6.3 (Dierckxsens et al, 2017), starting with other Pipidae mitochondrial assemblies available on NCBI as input seeds. The assembly was screened with general_decon.sh version 1.0 (Mudd et al, 2020) to identify archaea, bacteria, virus and vector contaminants using the respective RefSeq and UniVec databases, queried using mt_decon.sh version 1.0 (Mudd et al, 2020) against the mitochondrial assembled sequence and filtered using nt_decon.sh version 1.0 (Bredeson et al, 2021) against the NT database and other completed frog assemblies. The assembly was then run through align_pipeline.sh version 1.0 (Bredeson et al, 2021) to identify and remove duplicate haplotype sequences.…”
Section: Methodsmentioning
confidence: 99%
“…The assembly was screened with general_decon.sh version 1.0 (Mudd et al, 2020) to identify archaea, bacteria, virus and vector contaminants using the respective RefSeq and UniVec databases, queried using mt_decon.sh version 1.0 (Mudd et al, 2020) against the mitochondrial assembled sequence and filtered using nt_decon.sh version 1.0 (Bredeson et al, 2021) against the NT database and other completed frog assemblies. The assembly was then run through align_pipeline.sh version 1.0 (Bredeson et al, 2021) to identify and remove duplicate haplotype sequences. Scaffolds smaller than 1 kb were removed from the final assembly with Seqtk version 1.3‐r106 (https://github.com/lh3/seqtk).…”
Section: Methodsmentioning
confidence: 99%
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“…X. laevis and X. tropicalis CENP-A CHIP-seq datasets were used from previously described studies (Smith et al, 2021; Bredeson et al, 2021). CENP-A ChIP and Input libraries from each species were processed to identify CENP-A enriched k -mers using the k -mer counting pipeline that normalizes k -mer counts by sequencing depth of each library (https://github.com/straightlab/xenla-cen-dna-paper).…”
Section: Methodsmentioning
confidence: 99%
“…laevis and X. tropicalis CENP-A CHIP-seq datasets were used from previously described studies. 26,72 CENP-A ChIP and Input libraries from each species were processed to identify CENP-A enriched k-mers using the k-mer counting pipeline that normalizes k-mer counts by sequencing depth of each library (https://github.com/straightlab/xenla-cen-dna-paper). For this study 25bp k-mers were used and kmc was run with ci=10, indicating that k-mers must be found 10 times in the dataset to be considered.…”
Section: Methods Detailsmentioning
confidence: 99%