Association of single-nucleotide polymorphisms in &amp;lt;i&amp;gt;NAT9 &amp;lt;/i&amp;gt;and &amp;lt;i&amp;gt;MAP3K3&amp;lt;/i&amp;gt; genes with litter size traits in Berkshire pigs

Hwang, Jung Hye; An, Sang Mi; Yu, Go Eun; Park, Da Hye; Kang, Dong Jin; Kim, Tae Wan; Park, Hwa Chun; Ha, Ji Hee; Kim, Chul Wook

doi:10.5194/aab-61-379-2018

Cited by 3 publications

(2 citation statements)

References 35 publications

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“…NAT9 is a member of the N-acetyltransferase superfamily, which was rarely reported. One study showed that NAT9 influences pig size, and another demonstrated that NAT9 stabilizes microtubules in Drosophila (Mok and Choi, 2021;Hwang et al, 2018). Our data show a positive regulatory role of NAT9 in the JAK/STAT signaling pathway, which is confirmed by several lines of evidence.…”

Section: Discussionsupporting

confidence: 86%

The redox cycling of STAT2 maintains innate immune homeostasis

Xue

Li²,

Liu³

et al. 2022

Cell Reports

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Section: Discussionsupporting

confidence: 86%

The redox cycling of STAT2 maintains innate immune homeostasis

Xue

Li²,

Liu³

et al. 2022

Cell Reports

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“…Moreover, both miR-206 and miR-1 expression were found to be downregulated in the large follicles of a variety of goats, which might be associated with oocyte maturation and ovulation [ 12 ]. In addition, mitogen-activated protein kinase kinase kinase 3 (MAP 3 K3) interacts with extracellular signal-regulated kinase (ERK) in the p38 MAPK pathway to regulate litter size traits in Berkshire pigs [ 13 ]. miR-122 has been shown to increase LHR mRNA levels by modulating LRBP expression through SREBP activation, a phenomenon that is essential for regulating key reproductive processes, such as ovulation and CL function [ 14 ].…”

Section: Introductionmentioning

confidence: 99%

Integrated analyses of miRNA-mRNA expression profiles of ovaries reveal the crucial interaction networks that regulate the prolificacy of goats in the follicular phase

Liu

Zhou

et al. 2021

BMC Genomics

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Background Litter size is an important index of mammalian prolificacy and is determined by the ovulation rate. The ovary is a crucial organ for mammalian reproduction and is associated with follicular development, maturation and ovulation. However, prolificacy is influenced by multiple factors, and its molecular regulation in the follicular phase remains unclear. Methods Ten female goats with no significant differences in age and weight were randomly selected and divided into either the high-yielding group (n = 5, HF) or the low-yielding group (n = 5, LF). Ovarian tissues were collected from goats in the follicular phase and used to construct mRNA and miRNA sequencing libraries to analyze transcriptomic variation between high- and low-yield Yunshang black goats. Furthermore, integrated analysis of the differentially expressed (DE) miRNA-mRNA pairs was performed based on their correlation. The STRING database was used to construct a PPI network of the DEGs. RT–qPCR was used to validate the results of the predicted miRNA-mRNA pairs. Luciferase analysis and CCK-8 assay were used to detect the function of the miRNA-mRNA pairs and the proliferation of goat granulosa cells (GCs). Results A total of 43,779 known transcripts, 23,067 novel transcripts, 424 known miRNAs and 656 novel miRNAs were identified by RNA-seq in the ovaries from both groups. Through correlation analysis of the miRNA and mRNA expression profiles, 263 negatively correlated miRNA-mRNA pairs were identified in the LF vs. HF comparison. Annotation analysis of the DE miRNA-mRNA pairs identified targets related to biological processes such as “estrogen receptor binding (GO:0030331)”, “oogenesis (GO:0048477)”, “ovulation cycle process (GO:0022602)” and “ovarian follicle development (GO:0001541)”. Subsequently, five KEGG pathways (oocyte meiosis, progesterone-mediated oocyte maturation, GnRH signaling pathway, Notch signaling pathway and TGF-β signaling pathway) were identified in the interaction network related to follicular development, and a PPI network was also constructed. In the network, we found that CDK12, FAM91A1, PGS1, SERTM1, SPAG5, SYNE1, TMEM14A, WNT4, and CAMK2G were the key nodes, all of which were targets of the DE miRNAs. The PPI analysis showed that there was a clear interaction among the CAMK2G, SERTM1, TMEM14A, CDK12, SYNE1 and WNT4 genes. In addition, dual luciferase reporter and CCK-8 assays confirmed that miR-1271-3p suppressed the proliferation of GCs by inhibiting the expression of TXLNA. Conclusions These results increase the understanding of the molecular mechanisms underlying goat prolificacy. These results also provide a basis for studying interactions between genes and miRNAs, as well as the functions of the pathways in ovarian tissues involved in goat prolificacy in the follicular phase.

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Effect of SNPs on Litter Size in Swine

Guo,

Lv,

Liu

et al. 2024

CIMB

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Although sows do not directly enter the market, they play an important role in piglet breeding on farms. They consume large amounts of feed, resulting in a significant environmental burden. Pig farms can increase their income and reduce environmental pollution by increasing the litter size (LS) of swine. PCR-RFLP/SSCP and GWAS are common methods to evaluate single-nucleotide polymorphisms (SNPs) in candidate genes. We conducted a systematic meta-analysis of the effect of SNPs on pig LS. We collected and analysed data published over the past 30 years using traditional and network meta-analyses. Trial sequential analysis (TSA) was used to analyse population data. Gene set enrichment analysis and protein–protein interaction network analysis were used to analyse the GWAS dataset. The results showed that the candidate genes were positively correlated with LS, and defects in PCR-RFLP/SSCP affected the reliability of candidate gene results. However, the genotypes with high and low LSs did not have a significant advantage. Current breeding and management practices for sows should consider increasing the LS while reducing lactation length and minimizing the sows’ non-pregnancy period as much as possible.

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Association of single-nucleotide polymorphisms in <i>NAT9 </i>and <i>MAP3K3</i> genes with litter size traits in Berkshire pigs

Cited by 3 publications

References 35 publications

The redox cycling of STAT2 maintains innate immune homeostasis

The redox cycling of STAT2 maintains innate immune homeostasis

Integrated analyses of miRNA-mRNA expression profiles of ovaries reveal the crucial interaction networks that regulate the prolificacy of goats in the follicular phase

Effect of SNPs on Litter Size in Swine

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