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Full-Length Transcriptome Analysis of Plasmodium falciparum by Single-Molecule Long-Read Sequencing
Malaria, an infectious disease caused by Plasmodium parasites, still accounts for amounts of deaths annually in last decades. Despite the significance of Plasmodium falciparum as a model organism of malaria parasites, our understanding of gene expression of this parasite remains largely elusive sinc...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7942025/ https://www.ncbi.nlm.nih.gov/pubmed/33708645 http://dx.doi.org/10.3389/fcimb.2021.631545 |
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author | Yang, Mengquan Shang, Xiaomin Zhou, Yiqing Wang, Changhong Wei, Guiying Tang, Jianxia Zhang, Meihua Liu, Yaobao Cao, Jun Zhang, Qingfeng |
author_facet | Yang, Mengquan Shang, Xiaomin Zhou, Yiqing Wang, Changhong Wei, Guiying Tang, Jianxia Zhang, Meihua Liu, Yaobao Cao, Jun Zhang, Qingfeng |
author_sort | Yang, Mengquan |
collection | PubMed |
description | Malaria, an infectious disease caused by Plasmodium parasites, still accounts for amounts of deaths annually in last decades. Despite the significance of Plasmodium falciparum as a model organism of malaria parasites, our understanding of gene expression of this parasite remains largely elusive since lots of progress on its genome and transcriptome are based on assembly with short sequencing reads. Herein, we report the new version of transcriptome dataset containing all full-length transcripts over the whole asexual blood stages by adopting a full-length sequencing approach with optimized experimental conditions of cDNA library preparation. We have identified a total of 393 alternative splicing (AS) events, 3,623 long non-coding RNAs (lncRNAs), 1,555 alternative polyadenylation (APA) events, 57 transcription factors (TF), 1,721 fusion transcripts in P. falciparum. Furthermore, the shotgun proteome was performed to validate the full-length transcriptome of P. falciparum. More importantly, integration of full-length transcriptomic and proteomic data identified 160 novel small proteins in lncRNA regions. Collectively, this full-length transcriptome dataset with high quality and accuracy and the shotgun proteome analyses shed light on the complex gene expression in malaria parasites and provide a valuable resource for related functional and mechanistic researches on P. falciparum genes. |
format | Online Article Text |
id | pubmed-7942025 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-79420252021-03-10 Full-Length Transcriptome Analysis of Plasmodium falciparum by Single-Molecule Long-Read Sequencing Yang, Mengquan Shang, Xiaomin Zhou, Yiqing Wang, Changhong Wei, Guiying Tang, Jianxia Zhang, Meihua Liu, Yaobao Cao, Jun Zhang, Qingfeng Front Cell Infect Microbiol Cellular and Infection Microbiology Malaria, an infectious disease caused by Plasmodium parasites, still accounts for amounts of deaths annually in last decades. Despite the significance of Plasmodium falciparum as a model organism of malaria parasites, our understanding of gene expression of this parasite remains largely elusive since lots of progress on its genome and transcriptome are based on assembly with short sequencing reads. Herein, we report the new version of transcriptome dataset containing all full-length transcripts over the whole asexual blood stages by adopting a full-length sequencing approach with optimized experimental conditions of cDNA library preparation. We have identified a total of 393 alternative splicing (AS) events, 3,623 long non-coding RNAs (lncRNAs), 1,555 alternative polyadenylation (APA) events, 57 transcription factors (TF), 1,721 fusion transcripts in P. falciparum. Furthermore, the shotgun proteome was performed to validate the full-length transcriptome of P. falciparum. More importantly, integration of full-length transcriptomic and proteomic data identified 160 novel small proteins in lncRNA regions. Collectively, this full-length transcriptome dataset with high quality and accuracy and the shotgun proteome analyses shed light on the complex gene expression in malaria parasites and provide a valuable resource for related functional and mechanistic researches on P. falciparum genes. Frontiers Media S.A. 2021-02-23 /pmc/articles/PMC7942025/ /pubmed/33708645 http://dx.doi.org/10.3389/fcimb.2021.631545 Text en Copyright © 2021 Yang, Shang, Zhou, Wang, Wei, Tang, Zhang, Liu, Cao and Zhang http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Cellular and Infection Microbiology Yang, Mengquan Shang, Xiaomin Zhou, Yiqing Wang, Changhong Wei, Guiying Tang, Jianxia Zhang, Meihua Liu, Yaobao Cao, Jun Zhang, Qingfeng Full-Length Transcriptome Analysis of Plasmodium falciparum by Single-Molecule Long-Read Sequencing |
title | Full-Length Transcriptome Analysis of Plasmodium falciparum by Single-Molecule Long-Read Sequencing |
title_full | Full-Length Transcriptome Analysis of Plasmodium falciparum by Single-Molecule Long-Read Sequencing |
title_fullStr | Full-Length Transcriptome Analysis of Plasmodium falciparum by Single-Molecule Long-Read Sequencing |
title_full_unstemmed | Full-Length Transcriptome Analysis of Plasmodium falciparum by Single-Molecule Long-Read Sequencing |
title_short | Full-Length Transcriptome Analysis of Plasmodium falciparum by Single-Molecule Long-Read Sequencing |
title_sort | full-length transcriptome analysis of plasmodium falciparum by single-molecule long-read sequencing |
topic | Cellular and Infection Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7942025/ https://www.ncbi.nlm.nih.gov/pubmed/33708645 http://dx.doi.org/10.3389/fcimb.2021.631545 |
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