Automated Author ProfileRaza, Ali
University of Science and Technology of China0009-0008-4038-4447
Raza, Ali
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 0.7 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
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
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