Automated Author Profile

Raza, Ali

University of Science and Technology of China
0009-0008-4038-4447

Current S-Index

0.7

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.3

Average Dataset Index per dataset

Total Datasets

2

Total datasets for this author

Average FAIR Score

78.8%

Average FAIR Score per dataset

Total Citations

0

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

In-depth Analysis of 17,115 Rice Transcriptomes Reveals Extensive Viral Diversity in Rice Plants

Rice viruses seriously threaten rice cultivation and cause significant economic losses, but they have not yet been systematically identified, with only 20 rice-infecting viruses reported. Here, we performed a large-scale analysis of 17,115 RNA-seq libraries spanning 24 Oryza species across 51 countries. Using de novo assembly and homology-based methods, we identified 810 complete or near-complete viruses, including 276 known viruses and 534 novel viruses. Given the high divergence and atypical genome organizations of novel viruses, more than a half of them were tentatively assigned to 1 new order, 61 new families, and at least 104 new genera. Utilizing homology-independent approaches, we additionally identified 49 divergent RdRPs (RdRPs RNA-dependent RNA polymerases), which were confirmed by protein structural alignment. Furthermore, we analyzed the metadata of related SRA (SRA, Sequence Read Archive) libraries and estimated viral abundance in each library, leading to the screening of 427 viruses closely associated with rice plants. Overall, our study vastly expands the viral diversity in rice plants, providing new insights for the prevention and control of viral disease.

Authors

  • Zhu, Yu ;
  • Raza, Ali ;
  • Bai, Qing ;
  • Zou, Chengwu ;
  • Niu, Jiangshuai ;
  • Guo, Zhongxin ;
  • Wu, Qingfa
0 Citations0 Mentions79% FAIR0.3 Dataset Index
10.5281/zenodo.145614922024

In-depth Analysis of 17,115 Rice Transcriptomes Reveals Extensive Viral Diversity in Rice Plants

Rice viruses seriously threaten rice cultivation and cause significant economic losses, but they have not yet been systematically identified, with only 20 rice-infecting viruses reported. Here, we performed a large-scale analysis of 17,115 RNA-seq libraries spanning 24 Oryza species across 51 countries. Using de novo assembly and homology-based methods, we identified 810 complete or near-complete viruses, including 276 known viruses and 534 novel viruses. Given the high divergence and atypical genome organizations of novel viruses, more than a half of them were tentatively assigned to 1 new order, 61 new families, and at least 104 new genera. Utilizing homology-independent approaches, we additionally identified 49 divergent RdRPs (RdRPs RNA-dependent RNA polymerases), which were confirmed by protein structural alignment. Furthermore, we analyzed the metadata of related SRA (SRA, Sequence Read Archive) libraries and estimated viral abundance in each library, leading to the screening of 427 viruses closely associated with rice plants. Overall, our study vastly expands the viral diversity in rice plants, providing new insights for the prevention and control of viral disease.

Authors

  • Zhu, Yu ;
  • Raza, Ali ;
  • Bai, Qing ;
  • Zou, Chengwu ;
  • Niu, Jiangshuai ;
  • Guo, Zhongxin ;
  • Wu, Qingfa
0 Citations0 Mentions79% FAIR0.3 Dataset Index
10.5281/zenodo.145614932024