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      The complexity of alternative splicing and landscape of tissue-specific expression in lotus ( Nelumbo nucifera) unveiled by Illumina- and single-molecule real-time-based RNA-sequencing

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          Abstract

          Alternative splicing (AS) plays a critical role in regulating different physiological and developmental processes in eukaryotes, by dramatically increasing the diversity of the transcriptome and the proteome. However, the saturation and complexity of AS remain unclear in lotus due to its limitation of rare obtainment of full-length multiple-splice isoforms. In this study, we apply a hybrid assembly strategy by combining single-molecule real-time sequencing and Illumina RNA-seq to get a comprehensive insight into the lotus transcriptomic landscape. We identified 211,802 high-quality full-length non-chimeric reads, with 192,690 non-redundant isoforms, and updated the lotus reference gene model. Moreover, our analysis identified a total of 104,288 AS events from 16,543 genes, with alternative 3ʹ splice-site being the predominant model, following by intron retention. By exploring tissue datasets, 370 tissue-specific AS events were identified among 12 tissues. Both the tissue-specific genes and isoforms might play important roles in tissue or organ development, and are suitable for ‘ABCE’ model partly in floral tissues. A large number of AS events and isoform variants identified in our study enhance the understanding of transcriptional diversity in lotus, and provide valuable resource for further functional genomic studies.

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          Most cited references44

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          Gene Ontology: tool for the unification of biology

          Genomic sequencing has made it clear that a large fraction of the genes specifying the core biological functions are shared by all eukaryotes. Knowledge of the biological role of such shared proteins in one organism can often be transferred to other organisms. The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing. To this end, three independent ontologies accessible on the World-Wide Web (http://www.geneontology.org) are being constructed: biological process, molecular function and cellular component.
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            Alternative splicing and evolution: diversification, exon definition and function.

            Over the past decade, it has been shown that alternative splicing (AS) is a major mechanism for the enhancement of transcriptome and proteome diversity, particularly in mammals. Splicing can be found in species from bacteria to humans, but its prevalence and characteristics vary considerably. Evolutionary studies are helping to address questions that are fundamental to understanding this important process: how and when did AS evolve? Which AS events are functional? What are the evolutionary forces that shaped, and continue to shape, AS? And what determines whether an exon is spliced in a constitutive or alternative manner? In this Review, we summarize the current knowledge of AS and evolution and provide insights into some of these unresolved questions.
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              Assessment of transcript reconstruction methods for RNA-seq

              RNA sequencing (RNA-seq) is transforming genome biology, enabling comprehensive transcriptome profiling with unprecendented accuracy and detail. Due to technical limitations of current high-throughput sequencing platforms, transcript identity, structure and expression level must be inferred programmatically from partial sequence reads of fragmented gene products. We evaluated 24 protocol variants of 14 independent computational methods for exon identification, transcript reconstruction and expression level quantification from RNA-seq data. Our results show that most algorithms are able to identify discrete transcript components with high success rates, but that assembly of complete isoform structures poses a major challenge even when all constituent elements are identified. Expression level estimates also varied widely across methods, even when based on similar transcript models. Consequently, the complexity of higher eukaryotic genomes imposes severe limitations in transcript recall and splice product discrimination that are likely to remain limiting factors for the analysis of current-generation RNA-seq data.
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                Author and article information

                Journal
                DNA Res
                DNA Res
                dnares
                DNA Research: An International Journal for Rapid Publication of Reports on Genes and Genomes
                Oxford University Press
                1340-2838
                1756-1663
                August 2019
                07 June 2019
                07 June 2019
                : 26
                : 4
                : 301-311
                Affiliations
                [1 ]CAS Key Laboratory of Aquatic Botany and Watershed Ecology, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, CN, China
                [2 ]University of Chinese Academy of Sciences, Beijing, China
                [3 ]State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan, China
                Author notes
                To whom correspondence should be addressed: Tel. +86-27-87700860. Fax. 86-27-87700880. Email: yangpf@ 123456hubu.edu.cn (P.Y.); shitao323@ 123456wbgcas.cn (T.S.)
                Author information
                http://orcid.org/0000-0003-3526-4543
                Article
                dsz010
                10.1093/dnares/dsz010
                6704400
                31173073
                1da84ddd-03a6-49c0-a8a6-7b708ee2f373
                © The Author(s) 2019. Published by Oxford University Press on behalf of Kazusa DNA Research Institute.

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

                History
                : 23 January 2019
                : 03 May 2019
                Page count
                Pages: 11
                Funding
                Funded by: National Natural Science Foundation of China 10.13039/501100001809
                Award ID: 31700197
                Funded by: Key Research Program of Frontier Sciences
                Funded by: CAS 10.13039/100006296
                Award ID: QYZDB-SSW-SMC017
                Categories
                Full Papers

                Genetics
                smrt sequencing,illumina rna-seq,full length,alternative splicing,isoform variants
                Genetics
                smrt sequencing, illumina rna-seq, full length, alternative splicing, isoform variants

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