Identification of Potential miRNA-mRNA Regulatory Network Associated with Pig Growth Performance in the Pituitaries of Bama Minipigs and Landrace Pigs
文献类型： 外文期刊
作者： Jiao, Yingying 1 ; Hao, Linlin 1 ; Xia, Peijun 1 ; Cheng, Yunyun 2 ; Song, Jie 1 ; Chen, Xi 1 ; Wang, Zhaoguo 1 ; Ma, Ze 1 ; Zheng, Shuo 1 ; Chen, Ting 3 ; Zhang, Ying 1 ; Yu, Hao 1 ;
作者机构： 1.Jilin Univ, Coll Anim Sci, Changchun 130061, Peoples R China
2.Jilin Univ, Coll Publ Hlth, Minist Hlth, Key Lab Radiobiol, Changchun 130061, Peoples R China
3.South China Agr Univ, Guangdong Prov Key Lab Agroanim Genom & Mol Breed, Chinese Natl Engn Res Ctr Breeding Swine Ind, Coll Anim Sci,SCAU Alltech Res Joint Alliance, Guangzhou 510642, Peoples R China
关键词： miRNA-mRNA network; growth performance; pig; pituitary
期刊名称：ANIMALS （ 影响因子：3.231； 五年影响因子：3.312 ）
ISSN： 2076-2615
年卷期： 2022 年 12 卷 21 期
页码：
收录情况： SCI
摘要： Simple Summary The growth performance of pigs reflects their economic value. Compared with Landrace pigs, Bama minipigs have a slower growth rate and a lower feed utilization. Differentially expressed miRNA and mRNA were detected in the pituitary tissues of Bama minipigs and Landrace pigs involved in the relevant pathways mediating animal growth. In addition, we validated in vitro some potential miRNA-mRNA combinations associated with growth performance. Our findings provide an important resource for studying the differences in growth performance of different pig breeds. Pig growth performance is one of the criteria for judging pork production and is influenced by genotype and external environmental factors such as feeding conditions. The growth performance of miniature pigs, such as Bama minipigs, differs considerably from that of the larger body size pigs, such as Landrace pigs, and can be regarded as good models in pig growth studies. In this research, we identified differentially expressed genes in the pituitary gland of Bama minipigs and Landrace pigs. Through the pathway enrichment analysis, we screened the growth-related pathways and the genes enriched in the pathways and established the protein-protein interaction network. The RNAHybrid algorithm was used to predict the interaction between differentially expressed microRNAs and differentially expressed mRNAs. Four regulatory pathways (Y-82-ULK1/CDKN1A, miR-4334-5p-STAT3/PIK3R1/RPS6KA3/CAB39L, miR-4331-SCR/BCL2L1, and miR-133a-3p-BCL2L1) were identified via quantitative real-time PCR to detect the expression and correlation of candidate miRNAs and mRNAs. In conclusion, we revealed potential miRNA-mRNA regulatory networks associated with pig growth performance in the pituitary glands of Bama minipigs and Landrace pigs, which may help to elucidate the underlying molecular mechanisms of growth differences in pigs of different body sizes.
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