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      Full-Length Transcriptome Sequencing and the Discovery of New Transcripts in the Unfertilized Eggs of Zebrafish ( Danio rerio)

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          Abstract

          Understanding early gene expression in zebrafish embryos is a prerequisite for developmental biology research. In this study, 1,629,447 polymerase reads were obtained from the unfertilized eggs of zebrafish via full-length transcriptome sequencing using the PacBio RS II platform first. Then, 102,920 unique isoforms were obtained by correction, clustering and comparison with the zebrafish genome. 12,782 genes in the genome were captured, accounting for 39.71% of the all annotated genes. Approximately 62.27% of the 12,782 genes have been alternatively spliced. GO and KEGG annotations revealed that the unfertilized eggs primarily stored genes that participate in RNA processing and nuclear protein complex composition. According to this PacBio data that aligned with the genome, 3,970 fusion genes, 819 ncRNAs, and 84 new transcripts were predicted. Illumina RNA-seq and RT-qPCR detection found that the expression of two new transcripts, PB.5289.1 and PB.10209.1, were significantly up-regulated at the 2-cell stage and down-regulated rapidly thereafter, suggesting their involvement in minor ZGA during early embryonic development. This study indicated that the unfertilized eggs of zebrafish may have retained genes directly related to cell division and development to initiate the subsequent development in a limited space and time. On the other hand, NTRs or new transcriptome regions in the genome were discovered, which provided new clues regarding ZGA of MZT during early embryonic development in fish.

          Most cited references20

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          Systematic identification of long noncoding RNAs expressed during zebrafish embryogenesis.

          Long noncoding RNAs (lncRNAs) comprise a diverse class of transcripts that structurally resemble mRNAs but do not encode proteins. Recent genome-wide studies in humans and the mouse have annotated lncRNAs expressed in cell lines and adult tissues, but a systematic analysis of lncRNAs expressed during vertebrate embryogenesis has been elusive. To identify lncRNAs with potential functions in vertebrate embryogenesis, we performed a time-series of RNA-seq experiments at eight stages during early zebrafish development. We reconstructed 56,535 high-confidence transcripts in 28,912 loci, recovering the vast majority of expressed RefSeq transcripts while identifying thousands of novel isoforms and expressed loci. We defined a stringent set of 1133 noncoding multi-exonic transcripts expressed during embryogenesis. These include long intergenic ncRNAs (lincRNAs), intronic overlapping lncRNAs, exonic antisense overlapping lncRNAs, and precursors for small RNAs (sRNAs). Zebrafish lncRNAs share many of the characteristics of their mammalian counterparts: relatively short length, low exon number, low expression, and conservation levels comparable to that of introns. Subsets of lncRNAs carry chromatin signatures characteristic of genes with developmental functions. The temporal expression profile of lncRNAs revealed two novel properties: lncRNAs are expressed in narrower time windows than are protein-coding genes and are specifically enriched in early-stage embryos. In addition, several lncRNAs show tissue-specific expression and distinct subcellular localization patterns. Integrative computational analyses associated individual lncRNAs with specific pathways and functions, ranging from cell cycle regulation to morphogenesis. Our study provides the first systematic identification of lncRNAs in a vertebrate embryo and forms the foundation for future genetic, genomic, and evolutionary studies.
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            Unveiling the complexity of the maize transcriptome by single-molecule long-read sequencing

            Zea mays is an important genetic model for elucidating transcriptional networks. Uncertainties about the complete structure of mRNA transcripts limit the progress of research in this system. Here, using single-molecule sequencing technology, we produce 111,151 transcripts from 6 tissues capturing ∼70% of the genes annotated in maize RefGen_v3 genome. A large proportion of transcripts (57%) represent novel, sometimes tissue-specific, isoforms of known genes and 3% correspond to novel gene loci. In other cases, the identified transcripts have improved existing gene models. Averaging across all six tissues, 90% of the splice junctions are supported by short reads from matched tissues. In addition, we identified a large number of novel long non-coding RNAs and fusion transcripts and found that DNA methylation plays an important role in generating various isoforms. Our results show that characterization of the maize B73 transcriptome is far from complete, and that maize gene expression is more complex than previously thought.
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              Deep RNA sequencing at single base-pair resolution reveals high complexity of the rice transcriptome.

              Understanding the dynamics of eukaryotic transcriptome is essential for studying the complexity of transcriptional regulation and its impact on phenotype. However, comprehensive studies of transcriptomes at single base resolution are rare, even for modern organisms, and lacking for rice. Here, we present the first transcriptome atlas for eight organs of cultivated rice. Using high-throughput paired-end RNA-seq, we unambiguously detected transcripts expressing at an extremely low level, as well as a substantial number of novel transcripts, exons, and untranslated regions. An analysis of alternative splicing in the rice transcriptome revealed that alternative cis-splicing occurred in approximately 33% of all rice genes. This is far more than previously reported. In addition, we also identified 234 putative chimeric transcripts that seem to be produced by trans-splicing, indicating that transcript fusion events are more common than expected. In-depth analysis revealed a multitude of fusion transcripts that might be by-products of alternative splicing. Validation and chimeric transcript structural analysis provided evidence that some of these transcripts are likely to be functional in the cell. Taken together, our data provide extensive evidence that transcriptional regulation in rice is vastly more complex than previously believed.
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                Author and article information

                Journal
                G3 (Bethesda)
                Genetics
                G3: Genes, Genomes, Genetics
                G3: Genes, Genomes, Genetics
                G3: Genes, Genomes, Genetics
                G3: Genes|Genomes|Genetics
                Genetics Society of America
                2160-1836
                23 March 2019
                June 2019
                : 9
                : 6
                : 1831-1838
                Affiliations
                [* ]State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
                []University of Chinese Academy of Sciences, Beijing 100049, China
                Author notes
                [1]

                These authors contributed equally in this work.

                [2 ]Corresponding authors: E-mail: huangrong@ 123456ihb.ac.cn , wangyp@ 123456ihb.ac.cn
                Author information
                http://orcid.org/0000-0003-0200-346X
                Article
                GGG_200997
                10.1534/g3.119.200997
                6553537
                30872328
                3e45800c-dc21-4255-b731-3f1430b80137
                Copyright © 2019 Mehjabin et al.

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 13 November 2018
                : 07 March 2019
                Page count
                Figures: 3, Tables: 1, Equations: 0, References: 31, Pages: 8
                Categories
                Investigations

                Genetics
                full-length transcriptome sequencing,unfertilized egg,rna-seq,zebrafish (danio rerio)
                Genetics
                full-length transcriptome sequencing, unfertilized egg, rna-seq, zebrafish (danio rerio)

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