Automated Author ProfileChen, Tao
Shaanxi Normal University0000-0002-4352-4942
Chen, Tao
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: 2.3 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Gyrodactylus konovalovi is an ectoparasite on East Asia minnow Rhynchocypris lagowskii that is widely distributed in cold freshwater, the dispersal of this ectoparasite depends on host switching, and it is therefore a good model species to study parasite and fish phylogeographic patterns. We examined the phylogeography of G. konovalovi along with the distribution of its host in the Qinling Mountains in Central China. A total of 109 individuals collected from 21 localities were subsequently sequenced for 536 bp of a mitochondrial cytochrome oxidase subunit I (cox1) gene and 46 haplotypes were obtained. The ratio of substitution sites (dN/dS) was 0.015 and showed purifying selection. Haplotype diversity (h) was highest in the YP population, while nucleotide diversity ( π ) was highest in the TTG population. While h and π were lowest in the XYB population, except for ten populations. Phylogenetic trees based on BI, ML and MP methods and network analysis revealed that all haplotypes were consistently supported in four different lineages, indicating a significant geographic distribution pattern. There was a significant positive correlation between genetic differentiation (Fst) and geographic distance. The results of mismatch distribution, neutrality test and Bayesian skyline plot analyses showed that all lineages were stable without expansion during the Pleistocene, while the total population underwent population contraction during the late Pleistocene. The molecular clock calibration inferred that the most common ancestor was estimated to have emerged in the early to middle Pleistocene. Therefore, our study suggests that clearly phylogeographic distribution of G. konovalovi may be related to geological events such as orogenesis, drainage capture changes and vicariance, during the Pleistocene in the Qinling Mountains in Central China, while the population subdivision was hardly affected by climate fluctuation during the Pleistocene.
Authors
- Chen, Tao ;
- Chen, Xiaoning ;
- Wang, Biao ;
- Nie, Jianzhen ;
- You, Ping