Identification and Functional Analysis of Transcriptome Profiles, Long Non-Coding RNAs, Single-Nucleotide Polymorphisms, and Alternative Splicing from the Oocyte to the Preimplantation Stage of Sheep by Single-Cell RNA Sequencing

Author:

Zhang Zijing1,Shi Qiaoting1,Zhu Xiaoting1,Jin Lei1,Lang Limin1,Lyu Shijie1,Xin Xiaoling1,Huang Yongzhen2ORCID,Yu Xiang3,Li Zhiming4,Chen Sujuan5,Xu Zhaoxue1,Zhang Wei6,Wang Eryao1

Affiliation:

1. Institute of Animal Husbandry and Veterinary Science, Henan Academy of Agricultural Sciences, No. 116 Hua Yuan Road, Zhengzhou 450002, China

2. College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China

3. Henan Animal Health Supervision Institute, Zhengzhou 450003, China

4. Henan Provincial Animal Husbandry General Station, Zhengzhou 450008, China

5. Synthetic Biology Engineering Lab of Henan Province, School of Sciences and Technology, Xinxiang Medical University, Xinxiang 453003, China

6. College of Animal Science and Veterinary Medicine, Henan Institute of Science and Technology, Xinxiang 453003, China

Abstract

Numerous dynamic and complicated processes characterize development from the oocyte to the embryo. However, given the importance of functional transcriptome profiles, long non-coding RNAs, single-nucleotide polymorphisms, and alternative splicing during embryonic development, the effect that these features have on the blastomeres of 2-, 4-, 8-, 16-cell, and morula stages of development has not been studied. Here, we carried out experiments to identify and functionally analyze the transcriptome profiles, long non-coding RNAs, single-nucleotide polymorphisms (SNPs), and alternative splicing (AS) of cells from sheep from the oocyte to the blastocyst developmental stages. We found between the oocyte and zygote groups significantly down-regulated genes and the second-largest change in gene expression occurred between the 8- and 16-cell stages. We used various methods to construct a profile to characterize cellular and molecular features and systematically analyze the related GO and KEGG profile of cells of all stages from the oocyte to the blastocyst. This large-scale, single-cell atlas provides key cellular information and will likely assist clinical studies in improving preimplantation genetic diagnosis.

Funder

Henan Beef Cattle Industrial Technology System

The National Beef Cattle Industrial Technology System

Scientific and Technological Key Project of Henan Province

Science-Technology Foundation for Outstanding Young Scientists of Henan Academy of Agricultural Sciences

Key Scientific and Technological Special Projects of Henan Province

Major Scientific and Technological Special Project of Henan Province

Breeding and production of cattle and sheep by scientific and technological innovation team of Henan Academy of Agricultural Sciences

Publisher

MDPI AG

Subject

Genetics (clinical),Genetics

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