Evidence map›Paper›PMID 30123314›Full record

ArticlePlant methods2018

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

Fu-Yuan Zhu, Mo-Xian Chen, Neng-Hui Ye, Wang-Min Qiao, Bei Gao, Wai-Ki Law, Yuan Tian, Dong Zhang, Di Zhang, Tie-Yuan Liu and 5 more

Abstract read
In one paragraph

Article in Plant methods, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

66 citing papers in PubMed.

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  12. Identification and Characterization of a Plant Endophytic FungusJournal of fungi (Basel, Switzerland) · 2024
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  15. Frontiers in plant science · 2024
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  16. Review
  17. Identification of male-fertility geneFrontiers in plant science · 2024
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  18. Article
  19. Article
  20. Article

6 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Fu-Yuan Zhu *1State Key Laboratory of Crop Biology, College of Life Science, Shandong Agricultural University, Taian, Shandong China.
Mo-Xian Chen *Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China.
Neng-Hui Ye *5Southern Regional Collaborative Innovation Center for Grain and Oil Crops in China, Hunan Agricultural University, Changsha, 410128 China.
Wang-Min Qiao *6BGI-Shenzhen, Shenzhen, People's Republic of China.
Bei Gao4School of Life Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong.
Wai-Ki Law6BGI-Shenzhen, Shenzhen, People's Republic of China.
Yuan Tian1State Key Laboratory of Crop Biology, College of Life Science, Shandong Agricultural University, Taian, Shandong China.
Dong Zhang6BGI-Shenzhen, Shenzhen, People's Republic of China.
Di Zhang4School of Life Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong.
Tie-Yuan Liu4School of Life Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong.
Qi-Juan HuShenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China.
Yun-Ying Cao7College of Life Sciences, Nantong University, Nantong, Jiangsu China.
Ze-Zhuo Su8Department of Orthopaedics and Traumatology, The University of Hong Kong, Hong Kong, Hong Kong, SAR.
Jianhua ZhangShenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China.
Ying-Gao Liu1State Key Laboratory of Crop Biology, College of Life Science, Shandong Agricultural University, Taian, Shandong China.ORCID 0000-0002-7676-6075

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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.

methodsTo this end, we describe a cross-platform comparative study between BGISEQ-500 and Illumina HiSeq4000 for analysis of

resultsThe 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.

conclusionThe 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.

Indexed as

Alternative splicingBGISEQ-500Differential expressed genesIllumina HiSeq4000Next-generation sequencingTranscriptome

Identifiers

PMID30123314
PMCPMC6088413

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.