Literature DB >> 26446669

RNA sequencing as a powerful tool in searching for genes influencing health and performance traits of horses.

Monika Stefaniuk1, Katarzyna Ropka-Molik2.   

Abstract

RNA sequencing (RNA-seq) by next-generation technology is a powerful tool which creates new possibilities in whole-transcriptome analysis. In recent years, with the use of the RNA-seq method, several studies expanded transcriptional gene profiles to understand interactions between genotype and phenotype, supremely contributing to the field of equine biology. To date, in horses, massive parallel sequencing of cDNA has been successfully used to identify and quantify mRNA levels in several normal tissues, as well as to annotate genes. Moreover, the RNA-seq method has been applied to identify the genetic basis of several diseases or to investigate organism adaptation processes to the training conditions. The use of the RNA-seq approach has also confirmed that horses can be useful as a large animal model for human disease, especially in the field of immune response. The presented review summarizes the achievements of profiling gene expression in horses (Equus caballus).

Entities:  

Keywords:  Equus caballus; Horse; RNA-seq; Transcriptome; miRNA

Mesh:

Year:  2015        PMID: 26446669     DOI: 10.1007/s13353-015-0320-7

Source DB:  PubMed          Journal:  J Appl Genet        ISSN: 1234-1983            Impact factor:   3.240


  57 in total

1.  Structural annotation of equine protein-coding genes determined by mRNA sequencing.

Authors:  S J Coleman; Z Zeng; K Wang; S Luo; I Khrebtukova; M J Mienaltowski; G P Schroth; J Liu; J N MacLeod
Journal:  Anim Genet       Date:  2010-12       Impact factor: 3.169

2.  Widespread origins of domestic horse lineages.

Authors:  C Vilà; J A Leonard; A Gotherstrom; S Marklund; K Sandberg; K Liden; R K Wayne; H Ellegren
Journal:  Science       Date:  2001-01-19       Impact factor: 47.728

Review 3.  The equine immune responses to infectious and allergic disease: a model for humans?

Authors:  David W Horohov
Journal:  Mol Immunol       Date:  2014-10-22       Impact factor: 4.407

4.  Application of stem cells for the treatment of joint disease in horses.

Authors:  Walter Brehm; Janina Burk; Uta Delling
Journal:  Methods Mol Biol       Date:  2014

Review 5.  RNA-Seq: a revolutionary tool for transcriptomics.

Authors:  Zhong Wang; Mark Gerstein; Michael Snyder
Journal:  Nat Rev Genet       Date:  2009-01       Impact factor: 53.242

Review 6.  Family of melanocortin receptor (MCR) genes in mammals-mutations, polymorphisms and phenotypic effects.

Authors:  M Switonski; M Mankowska; S Salamon
Journal:  J Appl Genet       Date:  2013-08-31       Impact factor: 3.240

7.  A sequence polymorphism in MSTN predicts sprinting ability and racing stamina in thoroughbred horses.

Authors:  Emmeline W Hill; Jingjing Gu; Suzanne S Eivers; Rita G Fonseca; Beatrice A McGivney; Preethi Govindarajan; Nick Orr; Lisa M Katz; David E MacHugh; David MacHugh
Journal:  PLoS One       Date:  2010-01-20       Impact factor: 3.240

8.  Accumulating mutations in series of haplotypes at the KIT and MITF loci are major determinants of white markings in Franches-Montagnes horses.

Authors:  Bianca Haase; Heidi Signer-Hasler; Matthew M Binns; Gabriela Obexer-Ruff; Regula Hauswirth; Rebecca R Bellone; Dominik Burger; Stefan Rieder; Claire M Wade; Tosso Leeb
Journal:  PLoS One       Date:  2013-09-30       Impact factor: 3.240

9.  Identification and characterization of microRNAs in normal equine tissues by Next Generation Sequencing.

Authors:  Myung-Chul Kim; Seung-Woo Lee; Doug-Young Ryu; Feng-Ji Cui; Jong Bhak; Yongbaek Kim
Journal:  PLoS One       Date:  2014-04-02       Impact factor: 3.240

10.  Next-generation sequencing identifies equine cartilage and subchondral bone miRNAs and suggests their involvement in osteochondrosis physiopathology.

Authors:  Clémence Desjardin; Anne Vaiman; Xavier Mata; Rachel Legendre; Johan Laubier; Sean P Kennedy; Denis Laloe; Eric Barrey; Claire Jacques; Edmond P Cribiu; Laurent Schibler
Journal:  BMC Genomics       Date:  2014-09-17       Impact factor: 3.969

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  3 in total

Review 1.  Transcriptome Analysis in Domesticated Species: Challenges and Strategies.

Authors:  Jessica P Hekman; Jennifer L Johnson; Anna V Kukekova
Journal:  Bioinform Biol Insights       Date:  2016-02-16

2.  The Blood and Muscle Expression Pattern of the Equine TCAP Gene during the Race Track Training of Arabian Horses.

Authors:  Monika Stefaniuk-Szmukier; Tomasz Szmatoła; Joanna Łątka; Bogusława Długosz; Katarzyna Ropka-Molik
Journal:  Animals (Basel)       Date:  2019-08-18       Impact factor: 2.752

3.  Development of EST-Molecular Markers from RNA Sequencing for Genetic Management and Identification of Growth Traits in Potato Grouper (Epinephelus tukula).

Authors:  Te-Hua Hsu; Yu-Ting Chiu; Hung-Tai Lee; Hong-Yi Gong; Chang-Wen Huang
Journal:  Biology (Basel)       Date:  2021-01-07
  3 in total

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