2019
DOI: 10.3390/genes10020137
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DNA Methylation Patterns in the Social Spider, Stegodyphus dumicola

Abstract: Variation in DNA methylation patterns among genes, individuals, and populations appears to be highly variable among taxa, but our understanding of the functional significance of this variation is still incomplete. We here present the first whole genome bisulfite sequencing of a chelicerate species, the social spider Stegodyphus dumicola. We show that DNA methylation occurs mainly in CpG context and is concentrated in genes. This is a pattern also documented in other invertebrates. We present RNA sequence data … Show more

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Cited by 50 publications
(62 citation statements)
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References 74 publications
(100 reference statements)
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“…Weighted methylation level per gene per caste, averaged across colonies, was binned into four categories, no methylation, low (>0–0.2), medium (0.2–0.7), and high (0.7–1), as in Liu et al. (). The red dot indicates the mean with 95% confidence intervals.…”
Section: Resultsmentioning
confidence: 99%
“…Weighted methylation level per gene per caste, averaged across colonies, was binned into four categories, no methylation, low (>0–0.2), medium (0.2–0.7), and high (0.7–1), as in Liu et al. (). The red dot indicates the mean with 95% confidence intervals.…”
Section: Resultsmentioning
confidence: 99%
“…1A, supplementary table S1), including NCBI (https://www.ncbi.nlm.nih.gov/) and HGSC (https://www.hgsc.bcm.edu/). Specifically, we used the genomic data of the social spiders Stegodyphus mimosarum (v1.0, NCBI) (Sanggaard et al 2014) and S. dumicola (Liu et al 2019), and the solitary spiders Parasteatoda tepidariorum (v2.0, NCBI) (Schwager et al 2017), Acanthoscurria geniculata (v1, NCBI) (Sanggaard et al 2014), Nephila clavipes (v1.0, NCBI) (Babb et al 2017), Loxosceles reclusa (v1.0, HGSC) and Latrodectus hesperus (v1.0, HGSC).…”
Section: Data Retrieval and Sequence Analysismentioning
confidence: 99%
“…Adapters and reads with a quality score < 20 were trimmed with Trimmomatic (Bolger et al 2014). We mapped all the clean reads to the S. dumicola genome (Liu et al 2019) using RSEM (Li & Dewey 2011) to obtain expected counts and transcripts per million (TPM). We removed genes with low expression that did not meet one of two criteria: (1) counts per million (TPM) greater than one in at least half the samples, or (2) TPM > 1 in all samples of a given tissue.…”
Section: Expression Profiles Of Rapidly Evolving Genes In Four Tissuementioning
confidence: 99%
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