Cargando…
Comparative performance of the BGISEQ-500 and Illumina HiSeq4000 sequencing platforms for transcriptome analysis in plants
BACKGROUND: The next-generation sequencing (NGS) technology has greatly facilitated genomic and transcriptomic studies, contributing significantly in expanding the current knowledge on genome and transcriptome. However, the continually evolving variety of sequencing platforms, protocols and analytic...
Autores principales: | , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6088413/ https://www.ncbi.nlm.nih.gov/pubmed/30123314 http://dx.doi.org/10.1186/s13007-018-0337-0 |
_version_ | 1783346828036538368 |
---|---|
author | Zhu, Fu-Yuan Chen, Mo-Xian Ye, Neng-Hui Qiao, Wang-Min Gao, Bei Law, Wai-Ki Tian, Yuan Zhang, Dong Zhang, Di Liu, Tie-Yuan Hu, Qi-Juan Cao, Yun-Ying Su, Ze-Zhuo Zhang, Jianhua Liu, Ying-Gao |
author_facet | Zhu, Fu-Yuan Chen, Mo-Xian Ye, Neng-Hui Qiao, Wang-Min Gao, Bei Law, Wai-Ki Tian, Yuan Zhang, Dong Zhang, Di Liu, Tie-Yuan Hu, Qi-Juan Cao, Yun-Ying Su, Ze-Zhuo Zhang, Jianhua Liu, Ying-Gao |
author_sort | Zhu, Fu-Yuan |
collection | PubMed |
description | BACKGROUND: The next-generation sequencing (NGS) technology has greatly facilitated genomic and transcriptomic studies, contributing significantly in expanding the current knowledge on genome and transcriptome. However, the continually evolving variety of sequencing platforms, protocols and analytical pipelines has led the research community to focus on cross-platform evaluation and standardization. As a NGS pioneer in China, the Beijing Genomics Institute (BGI) has announced its own NGS platform designated as BGISEQ-500, since 2016. The capability of this platform in large-scale DNA sequencing and small RNA analysis has been already evaluated. However, the comparative performance of BGISEQ-500 platform in transcriptome analysis remains yet to be elucidated. The Illumina series, a leading sequencing platform in China’s sequencing market, would be a preferable reference to evaluate new platforms. METHODS: To this end, we describe a cross-platform comparative study between BGISEQ-500 and Illumina HiSeq4000 for analysis of Arabidopsis thaliana WT (Col 0) transcriptome. The key parameters in RNA sequencing and transcriptomic data processing were assessed in biological replicate experiments, using aforesaid platforms. RESULTS: The results from the two platforms BGISEQ-500 and Illumina HiSeq4000 shared high concordance in both inter- (correlation, 0.88–0.93) and intra-platform (correlation, 0.95–0.98) comparison for gene quantification, identification of differentially expressed genes and alternative splicing events. However, the two platforms yielded highly variable interpretation results for single nucleotide polymorphism and insertion–deletion analysis. CONCLUSION: The present case study provides a comprehensive reference dataset to validate the capability of BGISEQ-500 enabling it to be established as a competitive and reliable platform in plant transcriptome analysis. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13007-018-0337-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6088413 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-60884132018-08-17 Comparative performance of the BGISEQ-500 and Illumina HiSeq4000 sequencing platforms for transcriptome analysis in plants Zhu, Fu-Yuan Chen, Mo-Xian Ye, Neng-Hui Qiao, Wang-Min Gao, Bei Law, Wai-Ki Tian, Yuan Zhang, Dong Zhang, Di Liu, Tie-Yuan Hu, Qi-Juan Cao, Yun-Ying Su, Ze-Zhuo Zhang, Jianhua Liu, Ying-Gao Plant Methods Methodology BACKGROUND: The next-generation sequencing (NGS) technology has greatly facilitated genomic and transcriptomic studies, contributing significantly in expanding the current knowledge on genome and transcriptome. However, the continually evolving variety of sequencing platforms, protocols and analytical pipelines has led the research community to focus on cross-platform evaluation and standardization. As a NGS pioneer in China, the Beijing Genomics Institute (BGI) has announced its own NGS platform designated as BGISEQ-500, since 2016. The capability of this platform in large-scale DNA sequencing and small RNA analysis has been already evaluated. However, the comparative performance of BGISEQ-500 platform in transcriptome analysis remains yet to be elucidated. The Illumina series, a leading sequencing platform in China’s sequencing market, would be a preferable reference to evaluate new platforms. METHODS: To this end, we describe a cross-platform comparative study between BGISEQ-500 and Illumina HiSeq4000 for analysis of Arabidopsis thaliana WT (Col 0) transcriptome. The key parameters in RNA sequencing and transcriptomic data processing were assessed in biological replicate experiments, using aforesaid platforms. RESULTS: The results from the two platforms BGISEQ-500 and Illumina HiSeq4000 shared high concordance in both inter- (correlation, 0.88–0.93) and intra-platform (correlation, 0.95–0.98) comparison for gene quantification, identification of differentially expressed genes and alternative splicing events. However, the two platforms yielded highly variable interpretation results for single nucleotide polymorphism and insertion–deletion analysis. CONCLUSION: The present case study provides a comprehensive reference dataset to validate the capability of BGISEQ-500 enabling it to be established as a competitive and reliable platform in plant transcriptome analysis. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13007-018-0337-0) contains supplementary material, which is available to authorized users. BioMed Central 2018-08-13 /pmc/articles/PMC6088413/ /pubmed/30123314 http://dx.doi.org/10.1186/s13007-018-0337-0 Text en © The Author(s) 2018 Open AccessThis article is 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 you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Methodology Zhu, Fu-Yuan Chen, Mo-Xian Ye, Neng-Hui Qiao, Wang-Min Gao, Bei Law, Wai-Ki Tian, Yuan Zhang, Dong Zhang, Di Liu, Tie-Yuan Hu, Qi-Juan Cao, Yun-Ying Su, Ze-Zhuo Zhang, Jianhua Liu, Ying-Gao Comparative performance of the BGISEQ-500 and Illumina HiSeq4000 sequencing platforms for transcriptome analysis in plants |
title | Comparative performance of the BGISEQ-500 and Illumina HiSeq4000 sequencing platforms for transcriptome analysis in plants |
title_full | Comparative performance of the BGISEQ-500 and Illumina HiSeq4000 sequencing platforms for transcriptome analysis in plants |
title_fullStr | Comparative performance of the BGISEQ-500 and Illumina HiSeq4000 sequencing platforms for transcriptome analysis in plants |
title_full_unstemmed | Comparative performance of the BGISEQ-500 and Illumina HiSeq4000 sequencing platforms for transcriptome analysis in plants |
title_short | Comparative performance of the BGISEQ-500 and Illumina HiSeq4000 sequencing platforms for transcriptome analysis in plants |
title_sort | comparative performance of the bgiseq-500 and illumina hiseq4000 sequencing platforms for transcriptome analysis in plants |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6088413/ https://www.ncbi.nlm.nih.gov/pubmed/30123314 http://dx.doi.org/10.1186/s13007-018-0337-0 |
work_keys_str_mv | AT zhufuyuan comparativeperformanceofthebgiseq500andilluminahiseq4000sequencingplatformsfortranscriptomeanalysisinplants AT chenmoxian comparativeperformanceofthebgiseq500andilluminahiseq4000sequencingplatformsfortranscriptomeanalysisinplants AT yenenghui comparativeperformanceofthebgiseq500andilluminahiseq4000sequencingplatformsfortranscriptomeanalysisinplants AT qiaowangmin comparativeperformanceofthebgiseq500andilluminahiseq4000sequencingplatformsfortranscriptomeanalysisinplants AT gaobei comparativeperformanceofthebgiseq500andilluminahiseq4000sequencingplatformsfortranscriptomeanalysisinplants AT lawwaiki comparativeperformanceofthebgiseq500andilluminahiseq4000sequencingplatformsfortranscriptomeanalysisinplants AT tianyuan comparativeperformanceofthebgiseq500andilluminahiseq4000sequencingplatformsfortranscriptomeanalysisinplants AT zhangdong comparativeperformanceofthebgiseq500andilluminahiseq4000sequencingplatformsfortranscriptomeanalysisinplants AT zhangdi comparativeperformanceofthebgiseq500andilluminahiseq4000sequencingplatformsfortranscriptomeanalysisinplants AT liutieyuan comparativeperformanceofthebgiseq500andilluminahiseq4000sequencingplatformsfortranscriptomeanalysisinplants AT huqijuan comparativeperformanceofthebgiseq500andilluminahiseq4000sequencingplatformsfortranscriptomeanalysisinplants AT caoyunying comparativeperformanceofthebgiseq500andilluminahiseq4000sequencingplatformsfortranscriptomeanalysisinplants AT suzezhuo comparativeperformanceofthebgiseq500andilluminahiseq4000sequencingplatformsfortranscriptomeanalysisinplants AT zhangjianhua comparativeperformanceofthebgiseq500andilluminahiseq4000sequencingplatformsfortranscriptomeanalysisinplants AT liuyinggao comparativeperformanceofthebgiseq500andilluminahiseq4000sequencingplatformsfortranscriptomeanalysisinplants |