Transcriptome Analysis of Cattle Embryos Based on Single Cell RNA-Seq

被引:0
|
作者
Wang, Jie [1 ]
Fang, Di [1 ]
Zhao, Jianqing [1 ]
Huang, Fei [2 ]
Liu, Bo [2 ]
Tao, Weikun [2 ]
Cui, Baoshan [2 ]
Gao, Qinghua [1 ,2 ,3 ]
机构
[1] Tarim Univ, Coll Life Sci, Alar 843300, Xinjiang, Peoples R China
[2] Tarim Univ, Coll Anim Sci, Alar 843300, Xinjiang, Peoples R China
[3] Xinjiang Prod & Construct Corps, Key Lab Tarim Anim Husb Sci & Technol, Alar 843300, Xinjiang, Peoples R China
基金
中国国家自然科学基金;
关键词
Cattle; Early embryo; XX; XY embryo; RNA-Seq; Differential expression; IN-VITRO; GENE-EXPRESSION; GROWTH; STAGE;
D O I
10.17582/journal.pjz/20211016091046
中图分类号
Q95 [动物学];
学科分类号
071002 ;
摘要
Over the past few years, transcriptome sequencing has been applied to livestock and poultry, helping to select and investigate candidate genes associated with important traits. Yet, so far, only a few studies have reported differences in single-cell transcriptome between bovine embryos of different genders. In this study, we performed transcriptome analysis of cattle embryos based on a single Cell RNA-Seq. Bovine sex-controlled semen for artificial insemination were used to obtain different stage embryos: bovine 8 cell XX embryo, 8 cell XY embryo, 16 cell XX embryo, 16 cell XY embryo, morula XX embryo, morula XY embryo, blastocyst XX embryo, and blastocyst XY embryo. A sequencing library was constructed by the Smart-Seq2 amplification. The transcriptome was sequenced by Illumina HiSeqXten high-throughput sequence technology, and effective sequences were analyzed by functional annotation and related bioinformatics analysis. We found that Q30 percentage range of eight samples was 91.79-92.37%. The filtration sequence was 44106250-54234844. Compared with the reference genome by TopHat software, the net reading ratio of the bovine reference gene at each stage was 93.17-9 4.23%, the ratio of sequence numbers to multiple sites of the genome was 2.99-4.89. The DEG was identified by using the fold change & GE;2 and FDR <0.01 as cut-off values. There were 525 differentially expressed genes. GO and KEGG analysis showed that "cell part", "organelle", and organelle part" were significantly enriched in cell composition categories. As for molecular functional categories, DEGs were significantly enriched in cellular process "," biological regulation "and metabolic process" during biological processes. Moreover, KEGG analysis showed that the most abundant pathways were oxidative phosphorylation and Wnt signaling pathway","MAPK signaling pathway "," Regulation of actin cytoskeleton "and VEGF signaling pathway". To conclude, these RNA-Seq results confirmed the differential expression of several genes in embryos of different genders during embryonic development. These DEGs partcipate in the transcriptional regulation of bovine embryonic development of different genders.
引用
收藏
页码:1865 / 1872
页数:8
相关论文
共 50 条
  • [41] Commentary: A Systematic Evaluation of Single Cell RNA-Seq Analysis Pipelines
    Kadota, Koji
    Shimizu, Kentaro
    FRONTIERS IN GENETICS, 2020, 11
  • [42] A Survey on Methods for Predicting Polyadenylation Sites from DNA Sequences, Bulk RNA-seq, and Single-cell RNA-seq
    Ye, Wenbin
    Lian, Qiwei
    Ye, Congting
    Wu, Xiaohui
    GENOMICS PROTEOMICS & BIOINFORMATICS, 2023, 21 (01) : 67 - 83
  • [43] Comparative transcriptome RNA-Seq analysis of Listeria monocytogenes with sodium lactate adaptation
    Suo, Yujuan
    Gao, Shigang
    Baranzoni, Gian Marco
    Xie, Yanping
    Liu, Yanhong
    FOOD CONTROL, 2018, 91 : 193 - 201
  • [44] Phylogenomic Distance Method for Analyzing Transcriptome Evolution Based on RNA-seq Data
    Gu, Xun
    Zou, Yangyun
    Huang, Wei
    Shen, Libing
    Arendsee, Zebulun
    Su, Zhixi
    GENOME BIOLOGY AND EVOLUTION, 2013, 5 (09): : 1746 - 1753
  • [45] Single-cell RNA-Seq profiling of human preimplantation embryos and embryonic stem cells
    Yan, Liying
    Yang, Mingyu
    Guo, Hongshan
    Yang, Lu
    Wu, Jun
    Li, Rong
    Liu, Ping
    Lian, Ying
    Zheng, Xiaoying
    Yan, Jie
    Huang, Jin
    Li, Ming
    Wu, Xinglong
    Wen, Lu
    Lao, Kaiqin
    Li, Ruiqiang
    Qiao, Jie
    Tang, Fuchou
    NATURE STRUCTURAL & MOLECULAR BIOLOGY, 2013, 20 (09) : 1131 - +
  • [46] Comparative RNA-seq based transcriptomic analysis of bud dormancy in grape
    Khalil-Ur-Rehman, Muhammad
    Sun, Long
    Li, Chun-Xia
    Faheem, Muhammad
    Wang, Wu
    Tao, Jian-Min
    BMC PLANT BIOLOGY, 2017, 17
  • [47] Physiological RNA dynamics in RNA-Seq analysis
    Xu, Zhongneng
    Asakawa, Shuichi
    BRIEFINGS IN BIOINFORMATICS, 2019, 20 (05) : 1725 - 1733
  • [48] RNA-seq based transcriptome analysis of EHMT2 functions in breast cancer
    Kim, Kwangho
    Ryu, Tae Young
    Ryu, Jea-Woon
    Han, Tae-Su
    Jung, Cho-Rok
    Son, Mi-Young
    Kim, Dae-Soo
    Cho, Hyun-Soo
    BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS, 2020, 524 (03) : 672 - 676
  • [49] RNA-Seq Transcriptome Profiling of Equine Inner Cell Mass and Trophectoderm
    Iqbal, Khursheed
    Chitwood, James L.
    Meyers-Brown, Geraldine A.
    Roser, Janet F.
    Ross, Pablo J.
    BIOLOGY OF REPRODUCTION, 2014, 90 (03)
  • [50] RNA-Seq profiling of bovine preimplantation embryos
    Krebs, S.
    Graf, A.
    Schmieder, S.
    Zakhartchenko, V.
    Wolf, E.
    Blum, H.
    REPRODUCTION IN DOMESTIC ANIMALS, 2012, 47 : 449 - 450