Automated Author ProfileClark, Matthew
Wellcome Sanger Institute
Clark, Matthew
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: 2.2 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Understanding a wider range of genotype-phenotype associations can be achieved through ecological and evolutionary studies of traditional laboratory models. Here, we conducted the first large-scale geographic analysis of genetic variation within and among wild zebrafish (Danio rerio) populations occurring in Nepal, India, and Bangladesh and we genetically compared wild populations to several commonly used lab strains. We examined genetic variation at 1,832 polymorphic EST-based SNPs and the cytb mitochondrial gene in 13 wild populations and three lab strains. Natural populations were subdivided into three major mtDNA clades with an average of 5.8% among-clade sequence divergence. SNPs revealed five major evolutionarily and genetically distinct groups with an overall FST of 0.170 (95% CI 0.105 - 0.254). Evolutionarily distinct groups corresponded to discrete geographic regions and appear to reflect isolation in refugia during past climate cycles. We detected 71 significantly divergent outlier loci (3.4 %) and nine loci (0.5%) with significantly low FST values. Valleys of reduced variation of up to 10 Mb in size surrounding divergent outliers were consistent with selective sweeps. The lab strains formed two additional groups that were genetically distinct from all wild populations. An additional subset of outlier loci was consistent with domestication selection within lab strains. Substantial genetic variation that exists in zebrafish as a whole is missing from lab strains that we analyzed. A combination of laboratory and field studies that incorporates genetic variation from divergent wild populations will be essential to understand the full range of genetic influences on phenotypic variation in this species.
Authors
- Whiteley, Andrew R ;
- Bhat, Anuradha ;
- Martins, Emilia P ;
- Mayden, Richard L ;
- Arunachalam, M ;
- Uusi-Heikkilä, Silva ;
- Ahmed, A.T.A. ;
- Shrestha, Jiwan ;
- Clark, Matthew ;
- Stemple, Derek ;
- Bernatchez, Louis