Abstract

The transcriptome of the preimplantation mouse embryo has been previously annotated by short-read sequencing, with limited coverage and accuracy. Here we utilize a low-cell number transcriptome based on the Smart-seq2 method to perform long-read sequencing. Our analysis describes additional novel transcripts and complexity of the preimplantation transcriptome, identifying 2280 potential novel transcripts from previously unannotated loci and 6289 novel splicing isoforms from previously annotated genes. Notably, these novel transcripts and isoforms with transcription start sites are enriched for an active promoter modification, H3K4me3. Moreover, we generate a more complete and precise transcriptome by combining long-read and short-read data during early embryogenesis. Based on this approach, we identify a previously undescribed isoform of Kdm4dl with a modified mRNA reading frame and a novel noncoding gene designated XLOC_004958. Depletion of Kdm4dl or XLOC_004958 led to abnormal blastocyst development. Thus, our data provide a high-resolution and more precise transcriptome during preimplantation mouse embryogenesis.

Until now, the transcriptome of preimplantation mouse embryos has only been analysed by short-read sequencing. Here, the authors perform long-read sequencing to provide a more detailed transcriptome of the preimplantation mouse embryo, identifying various novel transcripts, for example Kdm4dl.

Details

Title
High-resolution annotation of the mouse preimplantation embryo transcriptome using long-read sequencing
Author
Qiao Yunbo 1 ; Ren, Chao 2 ; Huang Shisheng 3 ; Yuan Jie 2 ; Liu Xingchen 4 ; Jiao, Fan 5 ; Lin, Jianxiang 1 ; Wu, Susu 1 ; Chen, Qiuzhen 6 ; Xiaochen, Bo 2 ; Li, Xiangyang 3 ; Huang Xingxu 3 ; Liu, Zhen 7 ; Shu Wenjie 2   VIAFID ORCID Logo 

 Guangzhou University, Precise Genome Engineering Center, School of Life Sciences, Guangzhou, China (GRID:grid.411863.9) (ISNI:0000 0001 0067 3588) 
 Beijing Institute of Radiation Medicine, Department of Biotechnology, Beijing, China (GRID:grid.410740.6) (ISNI:0000 0004 1803 4911) 
 ShanghaiTech University, School of Life Science and Technology, Shanghai, China (GRID:grid.440637.2) (ISNI:0000 0004 4657 8879); University of Chinese Academy of Sciences, Beijing, China (GRID:grid.410726.6) (ISNI:0000 0004 1797 8419) 
 University of Chinese Academy of Sciences, Beijing, China (GRID:grid.410726.6) (ISNI:0000 0004 1797 8419); Chinese Academy of Sciences, Institute of Neuroscience, Key Laboratory of Primate Neurobiology, CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai, China (GRID:grid.9227.e) (ISNI:0000000119573309) 
 2nd Medical Center of Chinese PLA General Hospital, Institute of Geriatrics & National Clinical Research Center of Geriatrics Disease, Beijing, China (GRID:grid.414252.4) (ISNI:0000 0004 1761 8894) 
 Beijing Institute of Radiation Medicine, Department of Biotechnology, Beijing, China (GRID:grid.410740.6) (ISNI:0000 0004 1803 4911); University of South China, Computer School, Hengyang, China (GRID:grid.412017.1) (ISNI:0000 0001 0266 8918) 
 Chinese Academy of Sciences, Institute of Neuroscience, Key Laboratory of Primate Neurobiology, CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai, China (GRID:grid.9227.e) (ISNI:0000000119573309) 
Publication year
2020
Publication date
2020
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2501357516
Copyright
© The Author(s) 2020. corrected publication 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.