Comparative Analysis of Differential Exon Usage between the Breeds of Sheep and Goats Using RNA-Seq Data

被引:0
|
作者
Azim, F. Nikookalam [1 ]
Masoudi, A. A. [1 ]
Ehsani, A.
Torshizi, R. Vaez [1 ]
Gazgazareh, P. Shariati [1 ]
机构
[1] Tarbiat Modares Univ, Fac Agr, Dept Anim Sci, Tehran, Iran
来源
关键词
Alternative splicing; Interethnic analysis; Ovarian tissue; Transcription; EXPRESSION;
D O I
暂无
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
Alternative splicing, alternative transcript start site, and alternative transcript polyadenylation site are the main factors resulting in diversity of the transcripts of a gene. The main objectives of this study were to analyze the alternation process in breeds of sheep and goat, and to identify its role in differentiation of breeds of a species. RNA-seq data were prepared from ovarian tissue of two breeds of Shal and Sangsari sheep and two breeds of Tibetan and Jintang black goats. Reads were aligned to the reference genome and significant genes with respect to differential exon usage were identified. The statistical comparison revealed that 8,104 genes were significantly different in exon usage between the sheep breeds and 173 genes differed between the goat breeds. Out of the 121,861 studied exons, only 22.7% were preserved during future generations between the breeds, of which 99.3% did not display any alternatives. The high protection was probably due to the lack of involvement of the exons in alternative process. The genes with differential exon usage in goat had a higher percentage of alternatives than those in sheep. The interracial analysis showed that alternative splicing was the most influential type of alternatives in the breeds of sheep and goats. It seems that the conservation process of the exons is related to the contribution of these exons in alterative process in both sheep and goat breeds. The significant PI3K-Akt and alternative splicing pathways play a role in cell growth, development of ovaries, and mRNAs splicing.
引用
收藏
页码:581 / 594
页数:14
相关论文
共 50 条
  • [21] Stability of methods for differential expression analysis of RNA-seq data
    Lin, Bingqing
    Pang, Zhen
    BMC GENOMICS, 2019, 20 (1)
  • [22] Novel Data Transformations for RNA-seq Differential Expression Analysis
    Zhang, Zeyu
    Yu, Danyang
    Seo, Minseok
    Hersh, Craig P.
    Weiss, Scott T.
    Qiu, Weiliang
    SCIENTIFIC REPORTS, 2019, 9 (1)
  • [23] A comparison of methods for differential expression analysis of RNA-seq data
    Soneson, Charlotte
    Delorenzi, Mauro
    BMC BIOINFORMATICS, 2013, 14
  • [24] A comparison of methods for differential expression analysis of RNA-seq data
    Charlotte Soneson
    Mauro Delorenzi
    BMC Bioinformatics, 14
  • [25] RNA-Seq Analysis of Differential Splice Junction Usage and Intron Retentions by DEXSeq
    Li, Yafang
    Rao, Xiayu
    Mattox, William W.
    Amos, Christopher I.
    Liu, Bin
    PLOS ONE, 2015, 10 (09):
  • [26] Quantitative RNA-seq meta-analysis of alternative exon usage in C. elegans
    Tourasse, Nicolas J.
    Millet, Jonathan R. M.
    Dupuy, Denis
    GENOME RESEARCH, 2017, 27 (12) : 2120 - 2128
  • [27] IUTA: a tool for effectively detecting differential isoform usage from RNA-Seq data
    Liang Niu
    Weichun Huang
    David M Umbach
    Leping Li
    BMC Genomics, 15
  • [28] IUTA: a tool for effectively detecting differential isoform usage from RNA-Seq data
    Niu, Liang
    Huang, Weichun
    Umbach, David M.
    Li, Leping
    BMC GENOMICS, 2014, 15
  • [29] Comparative analysis of RNA-Seq alignment algorithms and the RNA-Seq unified mapper (RUM)
    Grant, Gregory R.
    Farkas, Michael H.
    Pizarro, Angel D.
    Lahens, Nicholas F.
    Schug, Jonathan
    Brunk, Brian P.
    Stoeckert, Christian J.
    Hogenesch, John B.
    Pierce, Eric A.
    BIOINFORMATICS, 2011, 27 (18) : 2518 - 2528
  • [30] Comparative Analysis of Glycogene Expression in Different Mouse Tissues Using RNA-Seq Data
    Firoz, Ahmad
    Malik, Adeel
    Singh, Sanjay Kumar
    Jha, Vivekanand
    Ali, Amjad
    INTERNATIONAL JOURNAL OF GENOMICS, 2014, 2014