Automated Author ProfileZhang, Zhi-Rong
Chinese Academy of Sciences
Zhang, Zhi-Rong
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: 16.5 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Angiosperms are by far the most species-rich clade of land plants, but their origin and early evolutionary history remain poorly understood. We reconstructed angiosperm phylogeny based on 80 genes from 2,881 plastid genomes representing 85% of extant families and all orders. With a well-resolved plastid tree and 62 fossil calibrations, we dated the origin of the crown angiosperms to the Upper Triassic, with major angiosperm radiations occurring in the Jurassic and Lower Cretaceous. This estimated crown age is substantially earlier than that of unequivocal angiosperm fossils, and the difference is here termed the ‘Jurassic angiosperm gap’. Our time-calibrated plastid phylogenomic tree provides a highly relevant framework for future comparative studies of flowering plant evolution.
Authors
- Li, Hong-Tao ;
- Yi, Ting-Shuang ;
- Gao, Lian-Ming ;
- Ma, Peng-Fei ;
- Zhang, Ting ;
- Yang, Jun-Bo ;
- Gitzendanner, Matthew A. ;
- Fritsch, Peter W. ;
- Cai, Jie ;
- Luo, Yang ;
- Wang, Hong ;
- Bank, Michelle van der ;
- Zhang, Shu-Dong ;
- Wang, Qing-Feng ;
- Wang, Jian ;
- Zhang, Zhi-Rong ;
- Fu, Chao-Nan ;
- Yang, Jing ;
- Hollingsworth, Peter M. ;
- Chase, Mark W. ;
- Soltis, Douglas E. ;
- Soltis, Pamela S. ;
- Li, De-Zhu
Background: Cymbidium orchids, including some 50 species, are the famous flowers, and they possess high commercial value in the floricultural industry. Furthermore, the values of different orchids are great differences. However, species identification is very difficult. To a certain degree, chloroplast DNA sequence data are a versatile tool for species identification and phylogenetic implications in plants. Different chloroplast loci have been utilized for evaluating phylogenetic relationships at each classification level among plant species, including at the interspecies and intraspecies levels. However, there is no evidence that a short sequence can distinguish all plant species from each other in order to infer phylogenetic relationships. Molecular markers derived from the complete chloroplast genome can provide effective tools for species identification and phylogenetic resolution. Results: The complete nucleotide sequences of eight individuals from a total of five Cymbidium species’ chloroplast (cp) genomes were determined using Illumina sequencing technology of the total DNA via a combination of de novo and reference-guided assembly. The length of the Cymbidium cp genome is about 155 kb. The cp genomes contain 123 unique genes, and the IR regions contain 24 duplicates. Although the genomes, including genome structure, gene order and orientation, are similar to those of other orchids, they are not evolutionarily conservative. The cp genome of Cymbidium evolved moderately with more than 3% sequence divergence, which could provide enough information for phylogeny. Rapidly evolving chloroplast genome regions were identified and 11 new divergence hotspot regions were disclosed for further phylogenetic study and species identification in Orchidaceae. Conclusions: Phylogenomic analyses were conducted using 10 complete chloroplast genomes from seven orchid species. These data accurately identified the individuals and established the phylogenetic relationships between the species. The results reveal that phylogenomics based on organelle genome sequencing lights the species identification—organelle-scale “barcodes”, and is also an effective approach for studying whole populations and phylogenetic characteristics of Cymbidium.
Authors
- Yang, Jun-Bo ;
- Tang, Min ;
- Li, Hong-Tao ;
- Zhang, Zhi-Rong ;
- Li, De-Zhu