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Analysis of the gene transcription patterns and DNA methylation characteristics of triploid sea cucumbers (Apostichopus japonicus).
Han L
,
Sun Y
,
Cao Y
,
Gao P
,
Quan Z
,
Chang Y
,
Ding J
.
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Breeding of polyploid aquatic animals is still an important approach and research hotspot for realizing the economic benefits afforded by the improvement of aquatic animal germplasm. To better understand the molecular mechanisms of the growth of triploid sea cucumbers, we performed gene expression and genome-wide comparisons of DNA methylation using the body wall tissue of triploid sea cucumbers using RNA-seq and MethylRAD-seq technologies. We clarified the expression pattern of triploid sea cucumbers and found no dosage effect. DEGs were significantly enriched in the pathways of nucleic acid and protein synthesis, cell growth, cell division, and other pathways. Moreover, we characterized the methylation pattern changes and found 615 differentially methylated genes at CCGG sites and 447 differentially methylated genes at CCWGG sites. Integrative analysis identified 23 genes (such as Guf1, SGT, Col5a1, HAL, HPS1, etc.) that exhibited correlations between promoter methylation and expression. Altered DNA methylation and expression of various genes suggested their roles and potential functional interactions in the growth of triploid sea cucumbers. Our data provide new insights into the epigenetic and transcriptomic alterations of the body wall tissue of triploid sea cucumbers and preliminarily elucidate the molecular mechanism of their growth, which is of great significance for the breeding of fine varieties of sea cucumbers.
Figure 1. Ploidy test results of diploid sea cucumbers (A) and triploid sea cucumbers (B).
Figure 2. Distribution of FPKM expression. The horizontal axis represents the sample name, the vertical axis represents the number of protein-coding genes, and different colors represent different ranges of FPKM.
Figure 3. GO enrichment analysis of the top 30 differentially expressed genes. The X-axis is the GO entry name and the Y-axis is -log10 p-value (A: down-regulated DEGs; B: up-regulated DEGs).
Figure 4. Top 20 differentially expressed genes in the KEGG enrichment analysis. The X-axis is the enrichment score. The larger the bubble, the more differential protein-encoding genes contained in the item. The color of bubbles changes from purple to blue to green to red, with the smaller p-value corresponding to greater significance.
Figure 5. Pie charts of the distribution of the differentially methylated sites on different functional components (A: CCGG sites; B: CCWGG sites).
Figure 6. GO functional classification histograms of differentially methylated genes, the X-axis is the GO entry name and the Y-axis is -log10 p-value. (A: CCGG sites; B: CCWGG sites).
Figure 7. Bubble map of KEGG top 20 differentially methylated genes in CCGG sites (A) and CCWGG sites (B).
Figure 8. Differentially expressed genes and differential methylation quadrants (A: CCGG site; B: CCWGG site). Red indicates the locus of negatively correlated differentially expressed genes, and blue indicates the locus of positively correlated differentially expressed genes.
Figure 9. Comparison of mRNA expression levels among the 10 DEGs obtained using qRT-PCR validation and RNA-seq. Log2 Fold Change are expressed as the ratio of gene expression after normalization to Cytb.
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