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Single-molecule real-time sequencing of the full-length transcriptome of Halophila beccarii
Ecologically, Halophila beccarii Asch. is considered as a colonizing or a pioneer seagrass species and a “tiny but mighty” seagrass species, since it may recover quickly from disturbance generally. The use of transcriptome technology can provide a better understanding of the physiological processes...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9525579/ https://www.ncbi.nlm.nih.gov/pubmed/36180578 http://dx.doi.org/10.1038/s41598-022-20988-w |
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author | Chen, Siting Qiu, Guanglong |
author_facet | Chen, Siting Qiu, Guanglong |
author_sort | Chen, Siting |
collection | PubMed |
description | Ecologically, Halophila beccarii Asch. is considered as a colonizing or a pioneer seagrass species and a “tiny but mighty” seagrass species, since it may recover quickly from disturbance generally. The use of transcriptome technology can provide a better understanding of the physiological processes of seagrasses. To date, little is known about the genome and transcriptome information of H. beccarii. In this study, we used single molecule real-time (SMRT) sequencing to obtain full-length transcriptome data and characterize the transcriptome structure. A total of 11,773 of the 15,348 transcripts were successfully annotated in seven databases. In addition, 1573 long non-coding RNAs, 8402 simple sequence repeats and 2567 transcription factors were predicted in all the transcripts. A GO analysis showed that 5843 transcripts were divided into three categories, including biological process (BP), cellular component (CC) and molecular function (MF). In these three categories, metabolic process (1603 transcripts), protein-containing complex (515 transcripts) and binding (3233 transcripts) were the primary terms in BP, CC, and MF, respectively. The major types of transcription factors were involved in MYB-related and NF-YB families. To the best of our knowledge, this is the first report of the transcriptome of H. beccarii using SMRT sequencing technology. |
format | Online Article Text |
id | pubmed-9525579 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-95255792022-10-02 Single-molecule real-time sequencing of the full-length transcriptome of Halophila beccarii Chen, Siting Qiu, Guanglong Sci Rep Article Ecologically, Halophila beccarii Asch. is considered as a colonizing or a pioneer seagrass species and a “tiny but mighty” seagrass species, since it may recover quickly from disturbance generally. The use of transcriptome technology can provide a better understanding of the physiological processes of seagrasses. To date, little is known about the genome and transcriptome information of H. beccarii. In this study, we used single molecule real-time (SMRT) sequencing to obtain full-length transcriptome data and characterize the transcriptome structure. A total of 11,773 of the 15,348 transcripts were successfully annotated in seven databases. In addition, 1573 long non-coding RNAs, 8402 simple sequence repeats and 2567 transcription factors were predicted in all the transcripts. A GO analysis showed that 5843 transcripts were divided into three categories, including biological process (BP), cellular component (CC) and molecular function (MF). In these three categories, metabolic process (1603 transcripts), protein-containing complex (515 transcripts) and binding (3233 transcripts) were the primary terms in BP, CC, and MF, respectively. The major types of transcription factors were involved in MYB-related and NF-YB families. To the best of our knowledge, this is the first report of the transcriptome of H. beccarii using SMRT sequencing technology. Nature Publishing Group UK 2022-09-30 /pmc/articles/PMC9525579/ /pubmed/36180578 http://dx.doi.org/10.1038/s41598-022-20988-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Chen, Siting Qiu, Guanglong Single-molecule real-time sequencing of the full-length transcriptome of Halophila beccarii |
title | Single-molecule real-time sequencing of the full-length transcriptome of Halophila beccarii |
title_full | Single-molecule real-time sequencing of the full-length transcriptome of Halophila beccarii |
title_fullStr | Single-molecule real-time sequencing of the full-length transcriptome of Halophila beccarii |
title_full_unstemmed | Single-molecule real-time sequencing of the full-length transcriptome of Halophila beccarii |
title_short | Single-molecule real-time sequencing of the full-length transcriptome of Halophila beccarii |
title_sort | single-molecule real-time sequencing of the full-length transcriptome of halophila beccarii |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9525579/ https://www.ncbi.nlm.nih.gov/pubmed/36180578 http://dx.doi.org/10.1038/s41598-022-20988-w |
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