Automated Author Profile

Berner, Daniel

Current S-Index

127.7

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

1.2

Average Dataset Index per dataset

Total Datasets

111

Total datasets for this author

Average FAIR Score

77.3%

Average FAIR Score per dataset

Total Citations

10

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Data from: Meta‐analysis of chromosome‐scale crossover rate variation in eukaryotes and its significance to evolutionary genomics (Version: 1)

<b>Abstract</b><br/>Understanding the distribution of crossovers along chromosomes is crucial to evolutionary genomics because the crossover rate determines how strongly a genome region is influenced by natural selection. Nevertheless, generalities in the chromosome-scale distribution of crossovers have not been investigated formally. We fill this gap by synthesizing joint information on genetic and physical maps across 62 animal, plant, and fungal species. Our quantitative analysis reveals a strong and taxonomically wide-spread reduction of the crossover rate in the center of chromosomes relative to their peripheries. We demonstrate that this pattern is poorly explained by the position of the centromere, but find that the magnitude of the relative reduction in the crossover rate in chromosome centers increases with chromosome length. That is, long chromosomes often display a dramatically low crossover rate in their center whereas short chromosomes exhibit a relatively homogeneous crossover rate. This observation is compatible with a model in which crossovers are initiated from the chromosome tips, an idea with preliminary support from mechanistic investigations of meiotic recombination. Consequently, we show that organisms achieve a higher genome-wide crossover rate by evolving smaller chromosomes. Summarizing theory and providing empirical examples, we finally highlight that taxonomically wide-spread and systematic heterogeneity in crossover rate along chromosomes generates predictable broad-scale trends in genetic diversity and population differentiation by modifying the impact of natural selection among regions within a genome. We conclude by emphasizing that chromosome-scale heterogeneity in crossover rate should urgently be incorporated into analytical tools in evolutionary genomics, and in the interpretation of emerging patterns.

Authors

  • Haenel, Quiterie ;
  • Laurentino, Telma G. ;
  • Roesti, Marius ;
  • Berner, Daniel
0 Citations0 Mentions42% FAIR1.0 Dataset Index
10.14288/1.03975602020

Data from: De novo sequencing, assembly, and annotation of four threespine stickleback genomes based on microfluidic partitioned DNA libraries (Version: 1)

The threespine stickleback is a geographically widespread and ecologically highly diverse fish that has emerged as a powerful model system for evolutionary genomics and developmental biology. Investigations in this species currently rely on a single high-quality reference genome, but would benefit from the availability of additional, independently sequenced and assembled genomes. We present here the assembly of four new stickleback genomes, based on the sequencing of microfluidic partitioned DNA libraries. The base pair lengths of the four genomes reach 92–101% of the standard reference genome length. Together with their de novo gene annotation, these assemblies offer a resource enhancing genomic investigations in stickleback.

Authors

  • Berner, Daniel ;
  • Roesti, Marius ;
  • Bilobram, Steven ;
  • Chan, Simon K. ;
  • Kirk, Heather ;
  • Pandoh, Pawan ;
  • Taylor, Gregory A. ;
  • Zhao, Yongjun ;
  • Jones, Steven J. M. ;
  • Defaveri, Jacquelin
2 Citations0 Mentions77% FAIR1.5 Dataset Index
10.5061/dryad.113j3h72019

LOH_analysis_pipeline (Version: 1)

No description available

Authors

  • Dukic, Marinela ;
  • Berner, Daniel ;
  • Haag, Christoph ;
  • Ebert, Dieter
0 Citations0 Mentions77% FAIR1.7 Dataset Index
10.5061/dryad.c9q4gt6/42019

Sanger_fasta_seqs (Version: 1)

No description available

Authors

  • Dukic, Marinela ;
  • Berner, Daniel ;
  • Haag, Christoph ;
  • Ebert, Dieter
0 Citations0 Mentions77% FAIR0.8 Dataset Index
10.5061/dryad.c9q4gt6/32019

Markers_offspring_gntps (Version: 1)

No description available

Authors

  • Dukic, Marinela ;
  • Berner, Daniel ;
  • Haag, Christoph ;
  • Ebert, Dieter
0 Citations0 Mentions77% FAIR0.8 Dataset Index
10.5061/dryad.c9q4gt6/22019

Consensus sequences (Version: 1)

No description available

Authors

  • Dukic, Marinela ;
  • Berner, Daniel ;
  • Haag, Christoph ;
  • Ebert, Dieter
0 Citations0 Mentions77% FAIR0.8 Dataset Index
10.5061/dryad.c9q4gt6/12019

PairwiseComparisons (Version: 1)

No description available

Authors

  • Haenel, Quiterie ;
  • Roesti, Marius ;
  • Moser, Dario ;
  • MacColl, Andrew ;
  • Berner, Daniel
0 Citations0 Mentions77% FAIR1.9 Dataset Index
10.5061/dryad.4ck2q0m/62019

RCodes (Version: 1)

No description available

Authors

  • Haenel, Quiterie ;
  • Roesti, Marius ;
  • Moser, Dario ;
  • MacColl, Andrew ;
  • Berner, Daniel
0 Citations0 Mentions77% FAIR1.9 Dataset Index
10.5061/dryad.4ck2q0m/52019

Phylo_neutral_lonerSNPs_N10 (Version: 1)

No description available

Authors

  • Haenel, Quiterie ;
  • Roesti, Marius ;
  • Moser, Dario ;
  • MacColl, Andrew ;
  • Berner, Daniel
0 Citations0 Mentions77% FAIR1.9 Dataset Index
10.5061/dryad.4ck2q0m/42019

SNPmatrix.M.FW (Version: 1)

No description available

Authors

  • Haenel, Quiterie ;
  • Roesti, Marius ;
  • Moser, Dario ;
  • MacColl, Andrew ;
  • Berner, Daniel
0 Citations0 Mentions77% FAIR0.8 Dataset Index
10.5061/dryad.4ck2q0m/32019