Literature DB >> 23822880

MicroRNAs in farm animals.

X Wang1, Z Gu, H Jiang.   

Abstract

MicroRNAs (miRNAs) are a class of ~22 nucleotide-long small noncoding RNAs that target mRNAs for translational repression or degradation. miRNAs target mRNAs by base-pairing with the 3'-untranslated regions (3'-UTRs) of mRNAs. miRNAs are present in various species, from animals to plants. In this review, we summarize the identification, expression, and function of miRNAs in four important farm animal species: cattle, chicken, pig and sheep. In each of these species, hundreds of miRNAs have been identified through homology search, small RNA cloning and next generation sequencing. Real-time RT-PCR and microarray experiments reveal that many miRNAs are expressed in a tissue-specific or spatiotemporal-specific manner in farm animals. Limited functional studies suggest that miRNAs have important roles in muscle development and hypertrophy, adipose tissue growth, oocyte maturation and early embryonic development in farm animals. Increasing evidence suggests that single-nucleotide polymorphisms in miRNA target sites or miRNA gene promoters may contribute to variation in production or health traits in farm animals.

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Year:  2013        PMID: 23822880     DOI: 10.1017/S1751731113001183

Source DB:  PubMed          Journal:  Animal        ISSN: 1751-7311            Impact factor:   3.240


  14 in total

1.  Deep Sequencing Analysis of miRNA Expression in Breast Muscle of Fast-Growing and Slow-Growing Broilers.

Authors:  Hongjia Ouyang; Xiaomei He; Guihuan Li; Haiping Xu; Xinzheng Jia; Qinghua Nie; Xiquan Zhang
Journal:  Int J Mol Sci       Date:  2015-07-17       Impact factor: 5.923

2.  Impact of the genetic background on the composition of the chicken plasma MiRNome in response to a stress.

Authors:  Marie-Laure Endale Ahanda; Tatiana Zerjal; Sophie Dhorne-Pollet; Andrea Rau; Amanda Cooksey; Elisabetta Giuffra
Journal:  PLoS One       Date:  2014-12-04       Impact factor: 3.240

3.  Association of MicroRNAs with Antibody Response to Mycoplasma bovis in Beef Cattle.

Authors:  Eduardo Casas; Guohong Cai; Larry A Kuehn; Karen B Register; Tara G McDaneld; John D Neill
Journal:  PLoS One       Date:  2016-08-18       Impact factor: 3.240

4.  Genome-Wide microRNA Binding Site Variation between Extinct Wild Aurochs and Modern Cattle Identifies Candidate microRNA-Regulated Domestication Genes.

Authors:  Martin Braud; David A Magee; Stephen D E Park; Tad S Sonstegard; Sinead M Waters; David E MacHugh; Charles Spillane
Journal:  Front Genet       Date:  2017-01-31       Impact factor: 4.599

5.  Comparative transcriptome analysis to investigate the potential role of miRNAs in milk protein/fat quality.

Authors:  Xuehui Wang; Li Zhang; Jing Jin; Anting Xia; Chunmei Wang; Yingjun Cui; Bo Qu; Qingzhang Li; Chunyan Sheng
Journal:  Sci Rep       Date:  2018-04-19       Impact factor: 4.379

Review 6.  Epigenetic marks: regulators of livestock phenotypes and conceivable sources of missing variation in livestock improvement programs.

Authors:  Eveline M Ibeagha-Awemu; Xin Zhao
Journal:  Front Genet       Date:  2015-09-28       Impact factor: 4.599

7.  Regulation of MicroRNAs, and the Correlations of MicroRNAs and Their Targeted Genes by Zinc Oxide Nanoparticles in Ovarian Granulosa Cells.

Authors:  Yong Zhao; Lan Li; Ling-Jiang Min; Lian-Qin Zhu; Qing-Yuan Sun; Hong-Fu Zhang; Xin-Qi Liu; Wei-Dong Zhang; Wei Ge; Jun-Jie Wang; Jing-Cai Liu; Zhi-Hui Hao
Journal:  PLoS One       Date:  2016-05-19       Impact factor: 3.240

Review 8.  Epigenetics and inheritance of phenotype variation in livestock.

Authors:  Kostas A Triantaphyllopoulos; Ioannis Ikonomopoulos; Andrew J Bannister
Journal:  Epigenetics Chromatin       Date:  2016-07-21       Impact factor: 4.954

9.  Effect of pre-miRNA-1658 gene polymorphism on chicken growth and carcass traits.

Authors:  Jianzhou Shi; Guirong Sun
Journal:  Asian-Australas J Anim Sci       Date:  2016-08-05       Impact factor: 2.509

Review 10.  Fishing Into the MicroRNA Transcriptome.

Authors:  Marcos E Herkenhoff; Arthur C Oliveira; Pedro G Nachtigall; Juliana M Costa; Vinicius F Campos; Alexandre W S Hilsdorf; Danillo Pinhal
Journal:  Front Genet       Date:  2018-03-19       Impact factor: 4.599

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