4.6 Article

Comparative performance of the BGISEQ-500 and Illumina HiSeq4000 sequencing platforms for transcriptome analysis in plants

期刊

PLANT METHODS
卷 14, 期 -, 页码 -

出版社

BMC
DOI: 10.1186/s13007-018-0337-0

关键词

Alternative splicing; BGISEQ-500; Differential expressed genes; lllumina HiSeq4000; Next-generation sequencing; Transcriptome

资金

  1. China Postdoctoral Science Foundation [2017M622801]
  2. Natural Science Foundation of Guangdong Province [2018A030313030]
  3. Natural Science Foundation of Shandong Province [BS2015NY002]
  4. Funds of Shandong Double Top Program
  5. National Natural Science Foundation of China [NSFC31771701, 31701341, 81401561]
  6. NJFU project [GXL2018005]
  7. Science and Technology Program of Nantong [MS12016044]
  8. National Basic Research Program of China [2012CB114300]
  9. Shenzhen Overseas Talents Innovation and Entrepreneurship [KQTD201101]
  10. Hong Kong Research Grant Council [AoE/M-05/12, AoE/M-403/16, CUHK14160516, 14177617, 12100318]

向作者/读者索取更多资源

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 WJ (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.

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