Automated Author ProfileShuker, David M.
Shuker, David M.
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: 22.7 (sum of 17 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Additional file 1: Supplementary Table 1. Sequencing statistics NVGRP. For each NVGRP iso-female line, the total number of clean reads (million reads), the total number of clean bases (Gb), percentage of nucleotides with a read quality higher than 20 (Q20 percentage), GC content (GC %), total number of reads mapped to Nvit 2.1 assembly (million reads), total number of nucleotides covered (Mb) and the percentage of Nvit 2.1 assembly covered (percentage) is given. Data in SupplementaryTable1.
Authors
- Pannebakker, Bart A. ;
- Cook, Nicola ;
- Heuvel, Joost Van Den ;
- Zande, Louis Van De ;
- Shuker, David M.
Additional file 4: Supplementary Table 4. Linkage disequilibrium (r2) between 18 SNPs significantly associated with sex ratio in the 25 NVGRP lines. Data in SupplementaryTable4_r2_Matrix.
Authors
- Pannebakker, Bart A. ;
- Cook, Nicola ;
- Heuvel, Joost Van Den ;
- Zande, Louis Van De ;
- Shuker, David M.
Additional file 4: Supplementary Table 4. Linkage disequilibrium (r2) between 18 SNPs significantly associated with sex ratio in the 25 NVGRP lines. Data in SupplementaryTable4_r2_Matrix.
Authors
- Pannebakker, Bart A. ;
- Cook, Nicola ;
- Heuvel, Joost Van Den ;
- Zande, Louis Van De ;
- Shuker, David M.
Additional file 3: Supplementary Table 3. Results for sex ratio and clutch size GWAS in NVGRP. Worksheets show: Significantly associated SNPs for sex ratio, All GWAS results for sex ratio and All GWAS results for clutch size. Data in SupplementaryTable3_GWAS_Candidate_and_All_SNPs.
Authors
- Pannebakker, Bart A. ;
- Cook, Nicola ;
- Heuvel, Joost Van Den ;
- Zande, Louis Van De ;
- Shuker, David M.
Additional file 3: Supplementary Table 3. Results for sex ratio and clutch size GWAS in NVGRP. Worksheets show: Significantly associated SNPs for sex ratio, All GWAS results for sex ratio and All GWAS results for clutch size. Data in SupplementaryTable3_GWAS_Candidate_and_All_SNPs.
Authors
- Pannebakker, Bart A. ;
- Cook, Nicola ;
- Heuvel, Joost Van Den ;
- Zande, Louis Van De ;
- Shuker, David M.
Additional file 2: Supplementary Table 2. NVGRP and HVRx Sliding windows analysis (400 kb windows) for pi, theta and Tajima’s D. Data in SupplementaryTable2_PopoolationResults.
Authors
- Pannebakker, Bart A. ;
- Cook, Nicola ;
- Heuvel, Joost Van Den ;
- Zande, Louis Van De ;
- Shuker, David M.
Additional file 2: Supplementary Table 2. NVGRP and HVRx Sliding windows analysis (400 kb windows) for pi, theta and Tajima’s D. Data in SupplementaryTable2_PopoolationResults.
Authors
- Pannebakker, Bart A. ;
- Cook, Nicola ;
- Heuvel, Joost Van Den ;
- Zande, Louis Van De ;
- Shuker, David M.
Additional file 1: Supplementary Table 1. Sequencing statistics NVGRP. For each NVGRP iso-female line, the total number of clean reads (million reads), the total number of clean bases (Gb), percentage of nucleotides with a read quality higher than 20 (Q20 percentage), GC content (GC %), total number of reads mapped to Nvit 2.1 assembly (million reads), total number of nucleotides covered (Mb) and the percentage of Nvit 2.1 assembly covered (percentage) is given. Data in SupplementaryTable1.
Authors
- Pannebakker, Bart A. ;
- Cook, Nicola ;
- Heuvel, Joost Van Den ;
- Zande, Louis Van De ;
- Shuker, David M.
The role of epigenetics in the control and evolution of behavior is being increasingly recognized. Here we test whether DNA methylation influences patterns of adaptive sex allocation in the parasitoid wasp Nasonia vitripennis. Female N. vitripennis allocate offspring sex broadly in line with local mate competition (LMC) theory. However, recent theory has highlighted how genomic conflict may influence sex allocation under LMC, conflict that requires parent-of-origin information to be retained by alleles through some form of epigenetic signal. We manipulated whole-genome DNA methylation in N. vitripennis females using the hypomethylating agent 5-aza-2′-deoxycytidine. Across two replicated experiments, we show that disruption of DNA methylation does not ablate the facultative sex allocation response of females, as sex ratios still vary with cofoundress number as in the classical theory. However, sex ratios are generally shifted upward when DNA methylation is disrupted. Our data are consistent with predictions from genomic conflict over sex allocation theory and suggest that sex ratios may be closer to the optimum for maternally inherited alleles.
Authors
- Cook, Nicola ;
- Pannebakker, Bart A. ;
- Tauber, Eran ;
- Shuker, David M.