Bei Gao

Dr. Bei Gao

State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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13 April 2017 in The Plant Journal
Verified
Journal Article
Open access
PDF file
FZFu‐Yuan Zhu
Fu‐Yuan Zhu
MCMo‐Xian Chen
Mo‐Xian Chen
NYNeng‐Hui Ye
Neng‐Hui Ye
LSLu Shi
Lu Shi
KMKai‐Long Ma
Kai‐Long Ma
Jianhua ZhangJianhua Zhang
Jianhua Zhang
Summary: In eukaryotes, mechanisms such as alternative splicing (AS) and alternative translation initiation (ATI) contribute to organismal protein diversity. Specifically, splicing factors play crucial roles in responses to environment and development cues; however, the underlying mechanisms are not well investigated in plants. Here, we report the parallel employment of short‐read RNA sequencing, single molecule long‐read sequencing and proteomic identification to unravel AS isoforms and previously unannotated proteins in response to abscisic acid (ABA) treatment. Combining the data from the two sequencing methods, approximately 83.4% of intron‐containing genes were alternatively spliced. Two AS types, which are referred to as alternative first exon (AFE) and alternative last exon (ALE), were more abundant than intron retention (IR); however, by contrast to AS events detected under normal conditions, differentially expressed AS isoforms were more likely to be translated. ABA extensively affects the AS pattern, indicated by the increasing number of non‐conventional splicing sites. This work also identified thousands of unannotated peptides and proteins by ATI based on mass spectrometry and a virtual peptide library deduced from both strands of coding regions within the Arabidopsis genome. The results enhance our understanding of AS and alternative translation mechanisms under normal conditions, and in response to ABA treatment.

13 August 2018 in Plant Methods
Verified
Journal Article
Open access
PDF file
FZFu-Yuan Zhu
Fu-Yuan Zhu
MCMo-Xian Chen
Mo-Xian Chen
NYNeng-Hui Ye
Neng-Hui Ye
WQWang-Min Qiao
Wang-Min Qiao
Bei GaoBei Gao
Bei Gao
YLYing-Gao Liu
Ying-Gao Liu
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. 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. 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. 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.

4 December 2020 in The Plant Journal
Verified
Journal Article
Closed access
PDF file
ASAnderson T. Silva
Anderson T. Silva
Bei GaoBei Gao
Bei Gao
KFKirsten M. Fisher
Kirsten M. Fisher
BMBrent Mishler
Brent Mishler
JEJenna T. B. Ekwealor
Jenna T. B. Ekwealor
Melvin J. OliverMelvin J. Oliver
Melvin J. Oliver

5 September 2018 in Journal of Integrative Plant Biology
Verified
Journal Article
Closed access
PDF file
TLTie‐Yuan Liu
Tie‐Yuan Liu
NYNenghui Ye
Nenghui Ye
TSTao Song
Tao Song
YCYunying Cao
Yunying Cao
Bei GaoBei Gao
Bei Gao
Jianhua ZhangJianhua Zhang
Jianhua Zhang

10 December 2018 in Journal of Experimental Botany
Verified
Journal Article
Open access
PDF file
MCMo-Xian Chen
Mo-Xian Chen
FZFu-Yuan Zhu
Fu-Yuan Zhu
FWFeng-Zhu Wang
Feng-Zhu Wang
NYNeng-Hui Ye
Neng-Hui Ye
Bei GaoBei Gao
Bei Gao
YLYing-Gao Liu
Ying-Gao Liu
Post-transcriptional mechanisms (PTMs), including alternative splicing (AS) and alternative translation initiation (ATI), may explain the diversity of proteins involved in plant development and stress responses. Transcriptional regulation is important during the hypoxic germination of rice seeds, but the potential roles of PTMs in this process have not been characterized. We used a combination of proteomics and RNA sequencing to discover how AS and ATI contribute to plant responses to hypoxia. In total, 10 253 intron-containing genes were identified. Of these, ~1741 differentially expressed AS (DAS) events from 811 genes were identified in hypoxia-treated seeds compared with controls. Over 95% of these were not present in the list of differentially expressed genes. In particular, regulatory pathways such as the spliceosome, ribosome, endoplasmic reticulum protein processing and export, proteasome, phagosome, oxidative phosphorylation, and mRNA surveillance showed substantial AS changes under hypoxia, suggesting that AS responses are largely independent of transcriptional regulation. Considerable AS changes were identified, including the preferential usage of some non-conventional splice sites and enrichment of splicing factors in the DAS data sets. Taken together, these results not only demonstrate that AS and ATI function during hypoxic germination but they have also allowed the identification of numerous novel proteins/peptides produced via ATI.

19 December 2019 in Plant Physiology
Verified
Journal Article
Open access
PDF file
MCMo-Xian Chen
Mo-Xian Chen
FZFu-Yuan Zhu
Fu-Yuan Zhu
Bei GaoBei Gao
Bei Gao
KMKai-Long Ma
Kai-Long Ma
YZYoujun Zhang
Youjun Zhang
YLYing-Gao Liu
Ying-Gao Liu
A full-length transcriptome-based proteogenomic data set reveals the complexity of rice gene arrangement and the transcriptome’s coding ability.