5.9
CiteScore
5.9
Impact Factor
Volume 50 Issue 6
Jun.  2023
Turn off MathJax
Article Contents
Abstract
References
Article Navigation >  Journal of Genetics and Genomics  > 2023  >  50(6): 398-409

An atlas of expression quantitative trait loci of microRNAs in longissimus muscle of eight-way crossbred pigs

doi: 10.1016/j.jgg.2023.02.007
  •  

    State Key Laboratory for Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, Jiangxi 330045, China

Funds:

We sincerely thank all the people from the State Key Laboratory for Pig Genetic Improvement and Production Technology (Jiangxi Agricultural University) for their help in sample and data collection. This study was supported by the National Natural Science Foundation of China (31790413 and 31872339).

  • Received Date: 2022-10-10
  • Accepted Date: 2023-02-05
  • Rev Recd Date: 2023-02-03
  • Publish Date: 2023-02-22
    Abstract
  • MicroRNAs (miRNAs) are key regulators of myocyte development and traits, yet insight into the genetic basis of variation in miRNA expression is still limited. Here, we present a systematic analysis of expression quantitative trait loci (eQTL) for miRNA profiling in longissimus muscle of pigs from an eight-breed crossed heterogeneous population. By integrating the whole-genome sequencing and miRNAomics data, we map 54 cis- and 292 trans-eQTLs at high resolution that are associated with the expression of 54 and 92 miRNAs, respectively. Twenty-three trans-acting loci are identified to affect the expression of nine myomiRs (known muscle-specific miRNAs). MiRNAs in mammalian conserved miRNA clusters are found to be subjected to regulation by shared cis-eQTLs, while the expression of mature miRNA-5p/-3p counterparts is more likely to be regulated by different cis-eQTLs. Fine mapping and bioinformatics analyses pinpoint the peak cis-eSNP of miR-4331-5p, rs344650810, which is located in its seed region, as a causal variant for the changes in expression and function of this miRNA. Additionally, rs344650810 is significantly (P < 0.01) correlated with the density and percentage of type I muscle fibers. Altogether, this study provides a comprehensive atlas of miRNA-eQTLs in porcine skeletal muscle and new insights into regulatory mechanisms of miRNA expression.
    • FullText(HTML)
    • References(54)
  • [1]
    Ai, H., Fang, X., Yang, B., Huang, Z., Hao, C., Mao, L., Zhang, F., Zhang, L., Cui, L., He, W., et al., 2015. Adaptation and possible ancient interspecies introgression in pigs identified by whole-genome sequencing. Nat. Genet. 47, 217-225.
    [2]
    Albert, F.W., Kruglyak, L., 2015. The role of regulatory variation in complex traits and disease. Nat. Rev. Genet. 16, 197-212.
    [3]
    Almasy, L., Blangero, J., 1998. Multipoint quantitative-trait linkage analysis in general pedigrees. Am. J. Hum. Genet. 62, 1198-1211.
    [4]
    Browning, S.R., Browning, B.L., 2007. Rapid and accurate haplotype phasing and missing-data inference for whole-genome association studies by use of localized haplotype clustering. Am. J. Hum. Genet. 81, 1084-1097.
    [5]
    Borel, C., Deutsch, S., Letourneau, A., Migliavacca, E., Montgomery, S., Dimas, A., Vejnar, C., Attar, H., Gagnebin, M., Gehrig, C., et al., 2011. Identification of cis- and trans-regulatory variation modulating microRNA expression levels in human fibroblasts. Genome Res. 21, 68-73.
    [6]
    Budach, S., Heinig, M., Marsico, A., 2016. Principles of microRNA Regulation Revealed Through Modeling microRNA Expression Quantitative Trait Loci. Genetics 203, 1629-1640.
    [7]
    Bushati, N., Cohen, S.M., 2007. microRNA functions. Annu. Rev. Cell. Dev. Biol. 23, 175-205.
    [8]
    Chang, W., Fa, H., Xiao, D.,Wang, J., 2020. MicroRNA-184 alleviates insulin resistance in cardiac myocytes and high fat diet-induced cardiac dysfunction in mice through the LPP3/DAG pathway. Mol. Cell. Endocrinol. 508, 110793.
    [9]
    Chen, W., Larrabee, B.R., Ovsyannikova, I.G., Kennedy, R.B., Haralambieva, I.H., Poland, G.A., Schaid, D.J., 2015. Fine Mapping Causal Variants with an Approximate Bayesian Method Using Marginal Test Statistics. Genetics 200, 719-736.
    [10]
    Dai, F., Feng, D., Cao, Q., Ye, H., Zhang, C., Xia, W., Zuo, J., 2009. Developmental differences in carcass, meat quality and muscle fibre characteristics between the Landrace and a Chinese native pig. S. Afr. J. Anim. Sci. 39, 267-273.
    [11]
    Daza, K.R., Velez-Irizarry, D., Casiro, S., Steibel, J.P., Raney, N.E., Bates, R.O., Ernst, C.W., 2021. Integrated Genome-Wide Analysis of MicroRNA Expression Quantitative Trait Loci in Pig Longissimus Dorsi Muscle. Front. Genet. 12, 644091.
    [12]
    Delaneau, O., Ongen, H., Brown, A.A., Fort, A., Panousis, N.I., Dermitzakis, E.T., 2017. A complete tool set for molecular QTL discovery and analysis. Nat. Commun. 8, 15452.
    [13]
    DeVeale, B., Swindlehurst-Chan, J., Blelloch, R., 2021. The roles of microRNAs in mouse development. Nat. Rev. Genet. 22, 307-323.
    [14]
    Dodt, M., Roehr, J., Ahmed, R., Dieterich, C., 2012. FLEXBAR-Flexible Barcode and Adapter Processing for Next-Generation Sequencing Platforms. Biology 1, 895-905.
    [15]
    Dong, S.S., He, W.M., Ji, J.J., Zhang, C., Guo, Y., Yang, T.L., 2021. LDBlockShow: a fast and convenient tool for visualizing linkage disequilibrium and haplotype blocks based on variant call format files. Brief. Bioinform. 22, 1-6.
    [16]
    Friedlander, M.R., Mackowiak, S.D., Li, N., Chen, W., Rajewsky, N., 2012. miRDeep2 accurately identifies known and hundreds of novel microRNA genes in seven animal clades. Nucleic Acids Res. 40, 37-52.
    [17]
    Fu, A., Hoffman, A.E., Liu, R., Jacobs, D.I., Zheng, T., Zhu, Y., 2014. Targetome profiling and functional genetics implicate miR-618 in lymphomagenesis. Epigenetics 9, 730-737.
    [18]
    Gamazon, E.R., Innocenti, F., Wei, R., Wang, L., Zhang, M., Mirkov, S., Ramirez, J., Huang, R.S., Cox, N.J., Ratain, M.J., et al., 2013. A genome-wide integrative study of microRNAs in human liver. BMC Genomics 14, 395.
    [19]
    Gamazon, E.R., Ziliak, D., Im, H.K., LaCroix, B., Park, D.S., Cox, N.J., Huang, R.S., 2012. Genetic architecture of microRNA expression: implications for the transcriptome and complex traits. Am. J. Hum. Genet. 90, 1046-1063.
    [20]
    Gil, M., Delday, M., Gispert, M., I Furnols, M., Maltin, C., Plastow, G., Klont, R., Sosnicki, A., Carrion, D., 2008. Relationships between biochemical characteristics and meat quality of Longissimus thoracis and Semimembranosus muscles in five porcine lines. Meat Sci. 80, 927-933.
    [21]
    Gong, J., Tong, Y., Zhang, H.M., Wang, K., Hu, T., Shan, G., Sun, J., Guo, A.Y., 2012. Genome-wide identification of SNPs in microRNA genes and the SNP effects on microRNA target binding and biogenesis. Hum. Mutat. 33, 254-263.
    [22]
    Haas, J., Mester, S., Lai, A., Frese, K.S., Sedaghat-Hamedani, F., Kayvanpour, E., Rausch, T., Nietsch, R., Boeckel, J.N., Carstensen, A., et al., 2018. Genomic structural variations lead to dysregulation of important coding and non-coding RNA species in dilated cardiomyopathy. EMBO Mol. Med. 10, 107-120.
    [23]
    Hormozdiari, F., Gazal, S., van de Geijn, B., Finucane, H.K., Ju, C.J., Loh, P.R., Schoech, A., Reshef, Y., Liu, X., O'Connor, L., et al., 2018. Leveraging molecular quantitative trait loci to understand the genetic architecture of diseases and complex traits. Nat. Genet. 50, 1041-1047.
    [24]
    Huan, T., Rong, J., Liu, C., Zhang, X., Tanriverdi, K., Joehanes, R., Chen, B.H., Murabito, J.M., Yao, C., Courchesne, P., et al., 2015. Genome-wide identification of microRNA expression quantitative trait loci. Nat. Commun. 6, 6601.
    [25]
    Huang, J., Li, X., Li, H., Su, Z., Wang, J., Zhang, H., 2015. Down-regulation of microRNA-184 contributes to the development of cyanotic congenital heart diseases. Int. J. Clin. Exp. Pathol. 8, 14221-14227.
    [26]
    Huang, Y., Cai, L., Duan, Y., Zeng, Q., He, M., Wu, Z., Zou, X., Zhou, M., Zhang, Z., Xiao, S., et al., 2022. Whole-genome sequence-based association analyses on an eight-breed cro ssed heterogeneous stock of pigs reveal the genetic basis of skeletal muscle fiber characteristics. Meat Sci. 194, 108974.
    [27]
    Huang, Y., Zhou, L., Zhang, J., Liu, X., Zhang, Y., Cai, L., Zhang, W., Cui, L., Yang, J., Ji, J., et al., 2020. A large-scale comparison of meat quality and intramuscular fatty acid composition among three Chinese indigenous pig breeds. Meat Sci. 168, 108182.
    [28]
    Ji, J., Zhou, L., Huang, Y., Zheng, M., Liu, X., Zhang, Y., Huang, C., Peng, S., Zeng, Q., Zhong, L., et al., 2018. A whole-genome sequence based association study on pork eating quality traits and cooking loss in a specially designed heterogeneous F6 pig population. Meat Sci. 146, 160-167.
    [29]
    Kern, C., Wang, Y., Xu, X., Pan, Z., Halstead, M., Chanthavixay, G., Saelao, P., Waters, S., Xiang, R., Chamberlain, A., et al., 2021. Functional annotations of three domestic animal genomes provide vital resources for comparative and agricultural research. Nat. Commun. 12, 1821.
    [30]
    Lappalainen, T., Sammeth, M., Friedlander, M.R., t Hoen, P.A., Monlong, J., Rivas, M.A., Gonzalez-Porta, M., Kurbatova, N., Griebel, T., Ferreira, P.G., et al., 2013. Transcriptome and genome sequencing uncovers functional variation in humans. Nature 501, 506-511.
    [31]
    Lee, J.S., Kim, J.M., Lim, K.S., Hong, J.S., Hong, K.C.,Lee, Y.S., 2013. Effects of polymorphisms in the porcine microRNA MIR206/MIR133B cluster on muscle fiber and meat quality traits. Anim. Genet. 44, 101-106.
    [32]
    Li, H., Durbin, R., 2010. Fast and accurate long-read alignment with Burrows-Wheeler transform. Bioinformatics 26, 589-595.
    [33]
    Li, H., Handsaker, B., Wysoker, A., Fennell, T., Ruan, J., Homer, N., Marth, G., Abecasis, G., Durbin, R., et al., S., 2009. The Sequence Alignment/Map format and SAMtools. Bioinformatics 25, 2078-2079.
    [34]
    Martin, M., 2011. Cutadapt removes adapter sequences from high-throughput sequencing reads. EMBnet J. 17, 1.
    [35]
    Miao, W., Ma, Z., Tang, Z., Yu, L., Liu, S., Huang, T., Wang, P., Wu, T., Song, Z., Zhang, H., et al., 2021. Integrative ATAC-seq and RNA-seq Analysis of the Longissimus Muscle of Luchuan and Duroc Pigs. Front. Nutr. 8, 742672.
    [36]
    Mok, G.F., Lozano-Velasco, E., Munsterberg, A., 2017. microRNAs in skeletal muscle development. Semin. Cell Dev. Biol. 72, 67-76.
    [37]
    Nikpay, M., Beehler, K., Valsesia, A., Hager, J., Harper, M.E., Dent, R., McPherson, R., 2019. Genome-wide identification of circulating-miRNA expression quantitative trait loci reveals the role of several miRNAs in the regulation of cardiometabolic phenotypes. Cardiovasc. Res. 115, 1629-1645.
    [38]
    Ponsuksili, S., Murani, E., Hadlich, F., Perdomo-Sabogal, A., Trakooljul, N., Oster, M., Reyer, H., Wimmers, K., 2022. Genetic regulation and variation of expression of miRNA and mRNA transcripts in fetal muscle tissue in the context of sex, dam and variable fetal weight. Biol. Sex. Differ. 13, 24.
    [39]
    Ponsuksili, S., Oster, M., Reyer, H., Hadlich, F., Trakooljul, N., Rodehutscord, M., Camarinha-Silva, A., Bennewitz, J., Wimmers, K., 2021. Genetic regulation and heritability of miRNA and mRNA expression link to phosphorus utilization and gut microbiome. Open Biol. 11, 200182.
    [40]
    Purcell, S., Neale, B., Todd-Brown, K., Thomas, L., Ferreira, M., Bender, D., Maller, J., Sklar, P., de Bakker, P., Daly, M., et al., 2007. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am. J. Hum. Genet. 81, 559-575.
    [41]
    Rimmer, A., Phan, H., Mathieson, I., Iqbal, Z., Twigg, S.R.F., Consortium, W.G.S., Wilkie, A.O.M., McVean, G., Lunter, G., 2014. Integrating mapping-, assembly- and haplotype-based approaches for calling variants in clinical sequencing applications. Nat. Genet. 46, 912-918.
    [42]
    Siengdee, P., Trakooljul, N., Murani, E., Brand, B., Schwerin, M., Wimmers, K., Ponsuksili, S., 2015. Pre- and post-natal muscle microRNA expression profiles of two pig breeds differing in muscularity. Gene 561, 190-198.
    [43]
    Sonehara, K., Sakaue, S., Maeda, Y., Hirata, J., Kishikawa, T., Yamamoto, K., Matsuoka, H., Yoshimura, M., Nii, T., Ohshima, S., et al., 2022. Genetic architecture of microRNA expression and its link to complex diseases in the Japanese population. Hum. Mol. Genet. 31, 1806-1820.
    [44]
    Tan, G.G., Xu, C., Zhong, W.K., Wang, C.Y., 2021. miR-184 delays cell proliferation, migration and invasion in prostate cancer by directly suppressing DLX1. Exp. Ther. Med. 22, 1163.
    [45]
    Wang, J., Yang, X., Sun, Q., Huang, R., Xing, Z., 2011. Maternal dietary protein induces opposite myofiber type transition in Meishan pigs at weaning and finishing stages. Meat Sci. 2011,89(2), 221-227.
    [46]
    Wu, Z., Gong, H., Zhou, Z., Jiang, T., Lin, Z., Li, J., Xiao, S., Yang, B., Huang, L., 2022. Mapping short tandem repeats for liver gene expression traits helps prioritize potential causal variants for complex traits in pigs. J. Anim. Sci. Biotechnol. 13, 8.
    [47]
    Yang, H., Wu, J., Huang, X., Zhou, Y., Zhang, Y., Liu, M., Liu, Q., Ke, S., He, M., Fu, H., et al., 2022. ABO genotype alters the gut microbiota by regulating GalNAc levels in pigs. Nature 606, 358-367.
    [48]
    Yang, J., Lee, S.H., Goddard, M.E., Visscher, P.M., 2011. GCTA: a tool for genome-wide complex trait analysis. Am. J. Hum. Genet. 88, 76-82.
    [49]
    Zhang, J., Chen, J., Liu, X., Wang, H., Liu, X., Li, X., Wu, Z., Zhu, M., Zhao, S., 2016. Genomewide association studies for hematological traits and T lymphocyte subpopulations in a Duroc x Erhualian F resource population. J. Anim. Sci. 94, 5028-5041.
    [50]
    Zhang, J., Liu,Y., 2017a. MicroRNA in Skeletal Muscle: Its Crucial Roles in Signal Proteins, Mus cle Fiber Type, and Muscle Protein Synthesis. Curr. Protein. Pept. Sci. 18, 579-588.
    [51]
    Zhang, S., Wang, R., Su, H., Wang, B., Suolang, S., Lei, Z., Jin, M., Chen, H., Cao, J., Zhou, H., 2017b. Sus scrofa miR-204 and miR-4331 Negatively Regulate Swine H1N1/2009 Influenza A Virus Replication by Targeting Viral HA and NS, Respectively. Int. J. Mol. Sci. 18, 749.
    [52]
    Zhao, X., Bai, X., Guan, L., Li, J., Song, X., Ma, X., Guo, J., Zhang, Z., Qian, D.,Yong, H., 2018. microRNA-4331 Promotes Transmissible Gastroenteritis Virus (TGEV)-induced Mitochondrial Damage Via Targeting RB1, Upregulating Interleukin-1 Receptor Accessory Protein (IL1RAP), and Activating p38 MAPK Pathway In Vitro. Mol. Cell. Proteomics 17, 190-204.
    [53]
    Zhou, Y., Zhou, B., Pache, L., Chang, M., Khodabakhshi, A.H., Tanaseichuk, O., Benner, C., Chanda, S.K., 2019. Metascape provides a biologist-oriented resource for the analysis of systems-level datasets. Nat. Commun. 10, 1523.
    [54]
    Zilahi, E., Adamecz, Z., Bodoki, L., Griger, Z., Poliska, S., Nagy-Vincze, M., Danko, K., 2019. Dysregulated expression profile of myomiRs in the skeletal muscle of patients with polymyositis. EJIFCC 30, 237-245.
    • Relative Articles

  • Relative Articles

    [1]Qing Zhang, Jing Li, Yifeng Zhang, Huanfa Gong, Zhimin Zhou, Wenwu Xu, Zhongzi Wu, Yingchun Sun, Tao Jiang, Ziqi Ling, Shijun Xiao, Lusheng Huang, Bin Yang. Whole-genome sequence-based association study for immune cells in an eight-breed pig heterogeneous population[J]. Journal of Genetics and Genomics, 2022, 49(11): 1068-1071. doi: 10.1016/j.jgg.2021.09.003
    [2]Yang Yang, Chaorui Liu, Adeniyi C. Adeola, Xierzhatijiang Sulaiman, Hai-Bing Xie, Ya-Ping Zhang. Artificial selection drives differential gene expression during pig domestication[J]. Journal of Genetics and Genomics, 2019, 46(2): 97-100. doi: 10.1016/j.jgg.2018.09.008
    [3]Lei Qiu, Xiaoyan Hu, Qian Jing, Xinyi Zeng, Kui-Ming Chan, Junhong Han. Mechanism of cancer: Oncohistones in action[J]. Journal of Genetics and Genomics, 2018, 45(5): 227-236. doi: 10.1016/j.jgg.2018.04.004
    [4]Jianmeng Cao, Shangqi Li, Ming Shao, Xiaoning Cheng, Zhigang Xu, Deli Shi. The PDZ-Containing Unconventional Myosin XVIIIA Regulates Embryonic Muscle Integrity in Zebrafish[J]. Journal of Genetics and Genomics, 2014, 41(8): 417-428. doi: 10.1016/j.jgg.2014.06.008
    [5]Wen Luo, Qinghua Nie, Xiquan Zhang. MicroRNAs Involved in Skeletal Muscle Differentiation[J]. Journal of Genetics and Genomics, 2013, 40(3): 107-116. doi: 10.1016/j.jgg.2013.02.002
    [6]Guiliang Tang, Xiaoqing Tang. Short Tandem Target Mimic: A Long Journey to the Engineered Molecular Landmine for Selective Destruction/Blockage of MicroRNAs in Plants and Animals[J]. Journal of Genetics and Genomics, 2013, 40(6): 291-296. doi: 10.1016/j.jgg.2013.02.004
    [7]Zhenguo Zhang, Landian Hu, Xiangyin Kong. MicroRNA or NMD: Why Have Two RNA Silencing Systems?[J]. Journal of Genetics and Genomics, 2013, 40(10): 497-513. doi: 10.1016/j.jgg.2013.09.002
    [8]Nana Fan, Liangxue Lai. Genetically Modified Pig Models for Human Diseases[J]. Journal of Genetics and Genomics, 2013, 40(2): 67-73. doi: 10.1016/j.jgg.2012.07.014
    [9]Qin Li, Xiang Jin, Yu-Xian Zhu. Identification and Analyses of miRNA Genes in Allotetraploid Gossypium hirsutum Fiber Cells Based on the Sequenced Diploid G. raimondii Genome[J]. Journal of Genetics and Genomics, 2012, 39(7): 351-360. doi: 10.1016/j.jgg.2012.04.008
    [10]Catherine A. Kidner. The many roles of small RNAs in leaf development[J]. Journal of Genetics and Genomics, 2010, 37(1): 13-21. doi: 10.1016/S1673-8527(09)60021-7
    [11]Rui Zhang, Bing Su. Small but influential: the role of microRNAs on gene regulatory network and 3′UTR evolution[J]. Journal of Genetics and Genomics, 2009, 36(1): 1-6. doi: 10.1016/S1673-8527(09)60001-1
    [12]Yushan Zhang, Hongli Du, Jing Chen, Guanfu Yang, Xiquan Zhang. Porcine growth differentiation factor 9 gene polymorphisms and their associations with litter size[J]. Journal of Genetics and Genomics, 2008, 35(3): 163-169. doi: 10.1016/S1673-8527(08)60022-3
    [13]Qibin Luo, Qing Zhou, Xiaomin Yu, Hongbin Lin, Songnian Hu, Jun Yu. Genome-wide mapping of conserved microRNAs and their host transcripts in Tribolium castaneum[J]. Journal of Genetics and Genomics, 2008, 35(6): 349-355. doi: 10.1016/S1673-8527(08)60051-X
    [14]Hao Yu, Jingfen Li, Li Li, Yuefen Song, Xiuqin Yang, Linlin Ding, Di Liu. In Silico Cloning, Expression and Phylogenetic Analysis of Pig GATA-3 Gene[J]. Journal of Genetics and Genomics, 2007, 34(11): 994-1000. doi: 10.1016/S1673-8527(07)60112-X
    [15]Lu Yi, Zhenhua Hao, Tongtong Yang, Shaobing Wang, Baosong Xing, Yinxue Xu. cDNA Cloning, Bioinformatic and Tissue-specific Expression Analysis of Porcine JARID1C Gene[J]. Journal of Genetics and Genomics, 2007, 34(12): 1088-1096. doi: 10.1016/S1673-8527(07)60124-6
    [16]Guiling Dun, Xianglong Li, Hongzhan Cao, Rongyan Zhou, Lanhui Li. Variations of Melanocortin Receptor 1 (MC1R) Gene in Three Pig Breeds[J]. Journal of Genetics and Genomics, 2007, 34(9): 777-782. doi: 10.1016/S1673-8527(07)60088-5
    [17]Jinghu Zhang, Yuanzhu Xiong, Bo Zuo, Minggang Lei, Siwen Jiang, Feng'e Li, Rong Zheng, Jialian Li, Dequan Xu. Detection of Quantitative Trait Loci Associated with Several Internal Organ Traits and Teat Number Trait in a Pig Population[J]. Journal of Genetics and Genomics, 2007, 34(4): 307-314. doi: 10.1016/S1673-8527(07)60032-0
    [18]Jinghu Zhang, Yuanzhu Xiong, Bo Zuo, Minggang Lei, Siwen Jiang, Feng'e Li, Rong Zheng, Jialian Li. Genetic Analysis and Linkage Mapping in a Resource Pig Population Using Microsatellite Markers[J]. Journal of Genetics and Genomics, 2007, 34(1): 10-16. doi: 10.1016/S1673-8527(07)60002-2
    [19]Xinjian Bao, Yongqing Zeng, Shudong Wei, Gang Wang, Chanjuan Liu, Yanxiao Sun, Qimei Chen, Hua Li. Developmental Changes of Col3a1 mRNA Expression in Muscle and Their Association with Intramuscular Collagen in Pigs[J]. Journal of Genetics and Genomics, 2007, 34(3): 223-228. doi: 10.1016/S1673-8527(07)60023-X
    [20]Jingfei Zhang, Hongyu Zhao. eQTL studies: from bulk tissues to single cells[J]. Journal of Genetics and Genomics. doi: 10.1016/j.jgg.2023.05.003
    • Supplements(0)
    • Cited By

  • Cited by

    Periodical cited type(2)

    1. Zhang, Y.-D., Guo, C., Liu, H. et al. Repressor elements provide insights into tissue development and phenotypes in pigs. Zoological Research, 2024, 45(6): 1313-1326. doi:10.24272/j.issn.2095-8137.2024.043
    2. Jiang, T., Zhou, Z.-M., Ling, Z.-Q. et al. Pig H3K4me3, H3K27ac, and gene expression profiles reveal reproductive tissue-specific activity of transposable elements. Zoological Research, 2024, 45(1): 138-151. doi:10.24272/j.issn.2095-8137.2023.060

    Other cited types(0)

  • Created with Highcharts 5.0.7Amount of accessChart context menuAbstract Views, HTML Views, PDF Downloads StatisticsAbstract ViewsHTML ViewsPDF Downloads2024-052024-062024-072024-082024-092024-102024-112024-122025-012025-022025-032025-0402.557.51012.5
    Created with Highcharts 5.0.7Chart context menuAccess Class DistributionFULLTEXT: 27.6 %FULLTEXT: 27.6 %META: 66.6 %META: 66.6 %PDF: 5.8 %PDF: 5.8 %FULLTEXTMETAPDF
    Created with Highcharts 5.0.7Chart context menuAccess Area DistributionChina: 31.8 %China: 31.8 %India: 4.2 %India: 4.2 %Korea Republic of: 0.8 %Korea Republic of: 0.8 %Morocco: 3.2 %Morocco: 3.2 %Netherlands: 1.1 %Netherlands: 1.1 %Other: 1.1 %Other: 1.1 %Poland: 0.3 %Poland: 0.3 %Portugal: 1.1 %Portugal: 1.1 %Russian Federation: 8.5 %Russian Federation: 8.5 %Singapore: 1.1 %Singapore: 1.1 %Ukraine: 1.1 %Ukraine: 1.1 %United States: 45.9 %United States: 45.9 %ChinaIndiaKorea Republic ofMoroccoNetherlandsOtherPolandPortugalRussian FederationSingaporeUkraineUnited States

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Get Citation
    PDF

    Article Metrics

    Article has an altmetric score of 1
    Article views (250) PDF downloads (22) Cited by (2)
    Proportional views
    Related

    Editorial Office

    Journal of Genetics and Genomics

    京ICP备09063187号-7

    No.1, West Beichen Road, Chaoyang District, Beijing 100101, P.R.China

    +86-10-64806528+86-10-64807786jgg@genetics.ac.cn

    Supported by: Beijing Renhe Information Technology Co. Ltd  

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return