Scientia Agricultura Sinica ›› 2015, Vol. 48 ›› Issue (19): 3919-3930.doi: 10.3864/j.issn.0578-1752.2015.19.014

• ANIMAL SCIENCE·VETERINARY SCIENCERE·SOURCE INSECT • Previous Articles     Next Articles

Polymorphism of Pre-microRNA-1658 Gene in Chicken

GENG Li-ying1,2, ZHANG Chuan-sheng2, ZHAO Shu-yu2, CHEN Juan2, GONG Yuan-fang2, LIU Zheng-zhu2, ZHU Wen-jin2, LI Xiang-long1,2    

  1. 1College of Animal Sciences and Technology, Hebei Agricultural University, Baoding 071001, Hebei
    2Hebei Normal University   of Science and Technology, Changli 066600, Hebei
  • Received:2014-10-16 Online:2015-10-01 Published:2015-10-01

Abstract: 【Objective】 To investigate chicken gga-mir-1658 precursor area gene genetic variations/haplotypes and its distribution among all varieties. To analyze its effect on microRNA secondary stem-loop structure and target gene selection. The purpose was to screen the mutation sites as having potential biological function, which might lay the foundation to further reveal its influence on gga-mir-1658 gene expression regulation and phenotypic effects. 【Method】 A pair of specific primers were designed according to the chicken gga-mir-1658 genome sequence (GenBank accession number: NR_035151.1). The polymorphism detection was performed on gga-mir-1658 gene precursor area of 220 individuals including three chicken breeds: Taihang chicken (95), Beijing Fatty Chicken (83) and Leghorn chicken (42) by the PCR products direct sequencing. The comparison analysis and secondary structural simulation of gga-mir-1658 genome sequences were performed using DNAman, MEGA and mfold software. The matching linkage disequilibrium analysis and haplotype analysis were performed by SHEsis and Haploview software. The predictive parsing on the free energy changes of gga-mir-1658 target genes and their complexes was performed by miRanda software. 【Result】There were 6 mutation sites in pre-gga-mir-1658 gene. Among them, secondary allele frequency ≥5% included g.28 C>G, g.31 C>T, g.70G>A and g.71G>-. Four variable sites were positioned in the seed zone of gga-mir-1658 gene mature body. The genetic variation analysis showed that g.70G>A site manifested low polymorphism (PIC<0.25), and the other three sites manifested moderate polymorphism (0.25<PIC<0.50). The compatibility test showed that the other variation sites were in a Hardy-Weinberg equilibrium state in all breeds except for Leghorn chicken g.31 C>T, g.71G>-, Taihang chicken g.71G>- and Beijing Fatty Chicken g.70G>A site (P>0.05). Linkage disequilibrium and haplotype analysis showed that there was a weak linkage equilibrium between mutated sites; 11 haplotypes were detected among the three breeds. Of which, H1 (C C G -) and H11 (G T G G) were the dominant haplotypes. The frequencies were greater than 25%. Bioinformatics analysis showed that the mutation in the seed zone could influence the space configuration and free energy of gga-mir-1658 gene precursor secondary structure. Of which, H6 haplotype mutants was highest (41.00 kcal·mol-1). H2 and H5 haplotype mutants were lowest (35.70 kcal·mol-1); The predominant haplotype H1 and H11 mutants were -36.10 kcal·mol-1 and 40.04 kcal·mol-1. Different haplotype mature seed zone sequences of gga-mir-1658 gene were different. The gga-mir-1658-5p included two kinds of seed sequences: “AUACCAU” and “AUACCAC”. The gga-mir-1658-3p included four seed zone sequences: “AACUCUG”, “AGCUGUG”, “AACUGUG” and “AGCUCUG”. The bioinformatics analysis of gga-mir-1658 predictable target gene showed that seed zone could affect the selection of gga-mir-1658 mature body on the target gene. They were mainly enriched in gene expression regulation, cell apoptosis, immune system development and B cell activation, other basic biological processes. 【Conclusion】 (1) There were four mutation sites having potential biological function and phenotypic effects in gga-mir-1658 gene seed zone. They could constitute 11 haplotypes. Of which, H1 (C C G -) and H11 (G T G G) were the dominant haplotypes in Beijing Fatty Chicken, Taihang chicken and Leghorn chicken. (2) The seed zone mutation could affect the stability of gga-mir-1658 gene precursor secondary structure and the selection of target genes, which might be the important functional site having potential phenotype effect.

Key words: chicken, gga-mir-1658, RNA secondary structure, genetic variation

[1]    Bartel D P. MicroRNAs:genomics,biogenesis,mechanism,andfunction. Cell, 2004, 116(2):281-297.
[2]    Xu W, Wang Z, Liu Y. The characterization of microRNA-Mediated gene regulation as impacted by both target site location and seed match type. PLoS One, 2014, 9(9):e108260.
[3]    Jin Y, Lee C G. Single nucleotide polymorphisms associated with microRNA regulation. Biomolecules, 2013, 3(2):287-302.
[4]    Jevsinek S D, Godnic I, Zorc M, Horvat S, Dovc P, Kovac M, Kunej T. Genome-wide in silico screening for microRNA genetic variability in livestock species. Animal Genetics, 2013, 44(6): 669-677.
[5]    Zorc M, Skok D J, Godnic I, Calin G A, Horvat S, Jiang Z, Dovc P, Kunej T.Catalog of microRNA seed polymorphisms in vertebrates. PLoS One,2012,7(1):e30737.
[6]    耿立英, 张传生, 杜立新. 鸡基因组pre-microRNA SNP多态性的分析与研究. 生物多样性, 2009, 17(3): 248-256.
Geng L Y, Zhang C S, Du L X. Single nucleotide polymorphisms in chicken genomic pre-microRNA. Biodiversity Science, 2009, 17(3): 248-256. (in Chinese).
[7]    Wang X. Composition of seed sequence is a major determinant of microRNA targeting patterns. Bioinformatics, 2014, 30(10): 1377-1383.
[8]    Tamura K, Stecher G, Peterson D, Filipski A, Kumar S. MEGA6: molecular evolutionary genetics analysis version 6.0. Molecular Biology and Evolution , 2013, 30: 2725-2729.
[9]    Shi Y Y, He L. SHEsis, a powerful software platform for analyses of linkage disequilibrium, haplotype construction, and genetic association at polymorphism loci. Cell Research, 2005, 15(2):97-98.
[10]   Barrett J C, Fry B, Maller J, Daly M J. Haploview: analysis and visualization of L D and haplotype maps. Bioinformatics, 2005, 21(2): 263-265.
[11]   Zuker M. Mfold web server for nucleic acid folding and hybridization prediction. Nucleic Acids Research, 2003, 31(13): 3406- 3415.
[12]   Huang da W, Sherman B T, Lempicki R A. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nature Protocols, 2009, 4(1):44-57.
[13]   Landi D, Gemignani F, Barale R, Landi S. A catalog of polymorphisms falling in microRNA-binding regions of cancer genes. DNA Cell Biology, 2008, 27(1):35-43.
[14]   Auyeung V C, Ulitsky I, McGeary S E, Bartel D P. Beyond secondary structure: primary-sequence determinants license pri-miRNA hairpins for processing. Cell, 2013, 152(4):844-858.
[15]   Zeng Y, Rui Y, Cullen B R. Recognition and cleavage of primary microRNA precursors by the nuclear processing enzyme Drosha. The EMBO Journal, 2005, 24(1): 138-148.
[16]   Zeng Y, Cullen B R. Structural requirements for pre-microRNA binding and nuclear export by exportin 5. Nucleic Acids Research, 2004, 32(16): 4776-4785.
[17]   Duan R H, Pak C H, Jin P. Single nucleotide polymorphism associated with mature miR-125a alters the processing of pri-microRNA. Human Molecular Genetics, 2007, 16(9): 1124-1131.
[18]   Mencía A, Modamio-Høybjør S, Redshaw N, Morín M, Mayo-Merino F, Olavarrieta L, Aguirre L A, del Castillo I, Steel K P, Dalmay T, Moreno F, Moreno-Pelayo M A. Mutations in the seed region of human miR-96 are responsible for nonsyndromic progressive hearing loss. Nature Genetics, 2009(5):609-613.
[19]   Guryev V, Smits B M, van de Belt J, Verheul M, Hubner N, Cuppen E. Haplotype block structure is conserved across mammals. PLoS Genetics, 2006, 2(7):e121.
[20]   Jazdzewski K, Murray E L, Franssila K, Jarzab B, Schoenberg D R, de la Chapelle A. Common SNP in pre-miR-146a decreases mature miR expression and predisposes to papillary thyroid carcinoma. Proceedings of the National Academy of Sciences of the USA, 2008, 105(20): 7269-7274.
[21]   Jazdzews ki K, Liyanarachchi S, Swierniak M, Pachucki J, Ringel M D, Jarzab B, de la Chapelle A. Polymorphic mature microRNAs from passenger strand of pre-miR-146a contribute to thyroid cancer. Proceedings of the National Academy of Sciences of the USA, 2009, 106(5): 1502-1505.
[22]   Tseng Y H, Kokkotou E, Schulz T J, Huang T L, Winnay J N, Taniguchi C M, Tran T T, Suzuki R, Espinoza D O, Yamamoto Y, Ahrens M J, Dudley A T, Norris A W, Kulkarni R N, Kahn C R. New role of bone morphogenetic protein 7 in brown adipogenesis and energy expenditure .Nature, 2008, 454(7207):1000-1004.
[23]   Cui H, Zhao G, Liu R, Zheng M, Chen J, Wen J.FSH stimulates lipid biosynthesis in chicken adipose tissue by upregulating the expression of its receptor FSHR. Journal of Lipid Research, 2012,53(5):909-917.
[24]   de Pons J, Dwinell M R, Shimoyama M, Munzenmaier D H, Worthey E A, Jacob H J. The Rat Genome Database 2013-data, tools and users.Brief Bioinformatics, 2013, 14(4):520-526.
[25]   Negishi H, Ohba Y, Yanai H, Takaoka A, Honma K, Yui K, Matsuyama T, Taniguchi T, Honda K. Negative regulation of Toll-like-receptor signaling by IRF-4. Proceedings of the National Academy of Sciences of the USA,2005, 102(44):15989-15994.
[26]   Yoshimura Y. Avian β-defensins expression for the innate immune system in hen reproductive organs. Poultry Science, 2015, 94(4): 804-809.
[1] ZHAO QingYao, WANG XiaoMing, XING Tong, LI LingYun, XU XingLian, ZHAO Xue. Extraction Optimization, Structural Characterization, and Anticoagulant Activity of Intestinal Polysaccharides from Yellow-Feathered Chickens [J]. Scientia Agricultura Sinica, 2026, 59(6): 1317-1332.
[2] YANG LiJuan, CHEN SiYu, ZHAO Wei, ZHU Ling, GUO Lei, MA LiNa, MA RuiMin, ZHANG Juan. Whole-Genome Resequencing Reveals the Genetic Mechanisms Underlying Feather Coloration in Jingyuan Chicken [J]. Scientia Agricultura Sinica, 2026, 59(6): 1348-1360.
[3] WANG ShaoHua, FAN QiuLi, YANG JinChang, SUN YuJie, YU Niu, JIANG ShouQun. Effects of Different Levels of Mytilaria laosensis Leaves Feeding on Growth Performance, Immune Function, Antioxidant Capacity, Carcass Quality and Meat Quality of Yellow-Feathered Chickens [J]. Scientia Agricultura Sinica, 2026, 59(5): 1111-1127.
[4] LI Yun, ZHANG Fan, ZHOU YongQi, QIAO ZhiHao, LIU YanLi. Analysis of Body Size Traits During Growth and Development and Comparison of Meat Quality and Flavor Between 13 and 16 Weeks Lueyang Black-Bone Chickens [J]. Scientia Agricultura Sinica, 2026, 59(2): 427-440.
[5] YAO Hong, SHI ShouRong, ZHAO RuQian. The Potential and Mechanism of Chlorogenic Acid to Alleviate Intestinal Inflammation in Chickens Based on Network Pharmacology and Molecular Docking [J]. Scientia Agricultura Sinica, 2025, 58(3): 600-616.
[6] HUANG HuaYun, SUI YuLe, KONG Yi, LIANG Zhong, YANG MiaoMiao, LIU Xing, HAN Wei. Regulatory Effect of FTO Gene on Lipid Deposition in Chicken Intramuscular Adipocytes [J]. Scientia Agricultura Sinica, 2025, 58(22): 4786-4796.
[7] LI XueFeng, WANG Hui, ZHANG NingBo, JIN TaiHua, ZHANG ShuEr, ZHENG QuanSheng, TAO JiaShu, LI QingKe, LÜ ShenJin, LI YongZhu. Prediction and Analysis of Feeding Density on Production Performance, Cecal Flora Diversity, Short-Chain Fatty Acid Content and Microbial Differential Function of Langya Chickens [J]. Scientia Agricultura Sinica, 2025, 58(17): 3544-3560.
[8] HUANG HuaYun, LIU Xing, WANG QianBao, LI RuiRui, YANG MiaoMiao, LI ChunMiao, WU ZhaoLin, KONG LingLin, ZHAO ZhenHua. Expression Pattern of gga-miR-30a-5p and Its Regulation of Abdominal Fat and Intramuscular Fat Deposition in Chicken [J]. Scientia Agricultura Sinica, 2025, 58(15): 3134-3144.
[9] WANG ChaoHui, ZHANG LiMin, SUN Xi, LI SiJing, YANG XiaoJun, LIU YanLi. The Model Establishment of Lipid Deposition in Primary Chicken Embryo Liver Cells Induced by Oleic Acid [J]. Scientia Agricultura Sinica, 2024, 57(23): 4806-4814.
[10] ZHANG HuiYong, WU HuCong, ZHU GuoQiang, LI GuoHui, YU Yan, YIN JianMei, XUE Qian, ZHOU ChengHao, JIANG YiXiu, SU YiJun, HUANG HuaYun, HAN Wei. Detox Dynamics and Reproductive Performance of Langya Chickens Infected with ALV-J [J]. Scientia Agricultura Sinica, 2024, 57(23): 4815-4824.
[11] MA JingE, XIONG XinWei, ZHOU Min, WU SiQi, HAN Tian, RAO YouSheng, WANG ZhangFeng, XU JiGuo. Full-Length Transcriptomic Analysis of Chicken Pituitary Reveals Candidate Genes for Testicular Trait [J]. Scientia Agricultura Sinica, 2024, 57(20): 4130-4144.
[12] WEI QiHang, FENG Yao, WANG XiaoXing, ZHU HongGang, FANG Zhao, LI ZhaoJun. Screening of Deodorizing Bacteria and Its Application in Composting [J]. Scientia Agricultura Sinica, 2024, 57(13): 2623-2634.
[13] LI Kai, BAI GuoSong, TENG ChunRan, MA Teng, ZHONG RuQing, CHEN Liang, ZHANG HongFu. Prediction Equations of Chicken Metabolizable Energy Values for Grain Ingredients Based on in Vitro Simulated Enzymatic Hydrolysate Gross Energy Values and Chemical Composition [J]. Scientia Agricultura Sinica, 2024, 57(10): 2035-2045.
[14] LUO Na, AN BingXing, WEI LiMin, WEN Jie, ZHAO GuiPing. Identification of Molecular Markers Associated with Body Size Traits Through Genome-Wide Association Analysis in Wenchang Chickens [J]. Scientia Agricultura Sinica, 2024, 57(10): 2046-2060.
[15] JI GaiGe, CHEN ZhiWu, SHAN YanJu, LIU YiFan, TU YunJie, ZOU JianMin, ZHANG Ming, JU XiaoJun, SHU JingTing, ZHANG HaiTao, TANG YanFei, JIANG HuaLian. Study of Key Genes and Signaling Pathways Regulating Dry Feather Traits in Yellow-Feathered Broiler Chickens Based on Transcriptome Analysis [J]. Scientia Agricultura Sinica, 2024, 57(1): 204-215.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!