19 research outputs found

    Identification and analysis of differentially expressed long non-coding RNAs between multiparous and uniparous goat (<i>Capra hircus</i>) ovaries

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    <div><p>Long non-coding RNAs (lncRNAs) play important roles in almost all biological processes. However, there is little information on the effects of lncRNAs on ovulation and lambing rates. In the present study, we used high-throughput RNA sequencing to identify differentially expressed lncRNAs between the ovaries of multiparous (Mul) and uniparous (Uni) Anhui White goats. Among the 107,255,422 clean reads, 183,754 lncRNAs were significantly differentially expressed between the Uni and Mul. Among them, 455 lncRNAs were co-expressed between the two samples, whereas, 157,523 lncRNAs were uniquely expressed in the Uni, and 25,776 uniquely lncRNAs were expressed in the Mul. Through Cis role analysis, 24 lncRNAs were predicted to overlap with cis-regulatory elements, which involved in Progesterone-mediated oocyte maturation, Steroid biosynthesis, Oocyte meiosis, and gonadotropin-releasing hormone (GnRH) signaling pathway. These 4 pathways were related to ovulation, and the KEGG pathway analysis on target genes of the differentially expressed lncRNAs confirmed this results. In addition, 10 lncRNAs harbored precursors of 40 miRNAs, such as TCONS_00320849 related to a mature miRNA sequence, miR-365a, which was reported to be related to proliferation, were annotated in the precursor analysis of miRNAs. The present expand the understanding of lncRNA biology and contribute to the annotation of the goat genome. The study will provide a resource for lncRNA studies of ovulation and lambing.</p></div

    Real-time PCR results of randomly selected differentially expressed lncRNAs.

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    <p>Note: X-axis represents selected 8 differential expressed transcripts in two libraries. Here, GAPDH was chosen as the reference gene. Relative expression value per selected transcripts between uniparous goats (Uni) and multiparous goats (Mul) samples was calculated (y-axis). Superscript letters indicate significant difference at the level of 0.05.</p

    Data_Sheet_1_Multi-omics analysis on the mechanism of the effect of Isatis leaf on the growth performance of fattening sheep.docx

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    IntroductionThis study evaluated the effects of Isatis Leaf (ISL) on the growth performance, gastrointestinal tissue morphology, rumen and intestinal microbiota, rumen, serum and urine metabolites, and rumen epithelial tissue transcriptome of fattening sheep.MethodsTwelve 3.5-month-old healthy fattening sheep were randomly divided into two groups, each with 6 replicates, and fed with basal diet (CON) and basal diet supplemented with 80 g/kg ISL for 2.5 months. Gastrointestinal tract was collected for histological analysis, rumen fluid and feces were subjected to metagenomic analysis, rumen fluid, serum, and urine for metabolomics analysis, and rumen epithelial tissue for transcriptomics analysis.ResultsThe results showed that in the ISL group, the average daily gain and average daily feed intake of fattening sheep were significantly lower than those of the CON group (P ConclusionIn summary, the addition of ISL to the diet had the effect of increasing rumen ammonia nitrogen levels, regulating gastrointestinal microbiota, promoting body fat metabolism, and enhancing immunity in fattening sheep.</p

    Dynamic reprogramming model for histone lysine methylation during porcine early embryo development.

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    <p>We propose the following three distinct models about dynamic reprogramming of histone lysine methylation during porcine early embryo development. Red line indicates the first model, the signal intensity from the majority of histone lysine methylation modifications (H3K4me2/me3, H3K9me2/me3, H3K27me2/me3, H3K36me3, and H4K20me2/me3) gradually decrease from pronuclear stage to 8-cell stage and reappear at morula stage. Histone methylations at blastocyst stage show symmetric distribution pattern with similar methylation level between both cell lineages or asymmetric distribution pattern as hypermethylation in TE and hypomethylation in ICM. Green line indicates the second model, the expression level of histone methylation (H3K36me2) invariably keep constant from pronuclear stage to blastocyst stage and the signal intensity is almost consistent between both cell lineages. Blue line indicates the third model, histone methylation (H3K79me2 and H3K79me3) is quickly demethylated after fertilization and always keep low level during development to the blastocyst stage.</p

    Dynamic patterns of H3K9me2/3 during IVF and SCNT cleavage-stages embryo development.

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    <p><b>(A)</b> Representative images of porcine IVF and SCNT embryos at different developmental stages immunostained with an anti-H3K9me2 antibody. Antibody was localized with an Alexa Flour 488-conjugated secondary antibody (green). DNA was stained with propidium iodide (red). Middle panels showed the merged images (yellow) between H3K9me2 signal (green) and DNA staining (red). Red dash line marks the developmental stages with different H3K9me2 signal intensity between IVF and SCNT embryos. Arrow denotes H3K9me2 signal intensity was abnormally higher in SCNT embryos than that in IVF counterparts. White dash circle denotes ICM. <b>(B)</b> Representative images of IVF and SCNT embryos at different developmental stages immunostained with an anti-H3K9me3 antibody. Arrow denotes H3K9me3 signal intensity was abnormally higher in SCNT embryos than that in IVF counterparts. White dash circle denotes ICM. Scale bar = 50 μm. <b>(C)</b> Quantification of H3K9me2 intensity between IVF and SCNT early embryos. (D) Quantification of H3K9me3 intensity between IVF and SCNT early embryos. Blue bars denote IVF group, red bars represent SCNT group. Values are mean ± S.E.M. Different letters (a-b) on the bars indicate a statistically significant difference between IVF and SCNT groups (<i>p</i> < 0.05).</p
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