Automated Author ProfileBuchalski, Michael R.
California Department of Fish and Wildlife
Buchalski, Michael R.
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: 1.2 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Novel pathogens have become a major challenge faced by wildlife in the Anthropocene. White-nose syndrome (WNS), a fungal pathogen, has decimated bat populations across North America over the last two decades. Demographic and physiological evidence of resistance in one heavily affected species, Myotis lucifugus, has prompted multiple attempts to delineate the genomic underpinnings, but they show little congruence in their findings. This may be due, in part, to the limitations of the genomic resources utilized and/or analytical approaches employed. Here, we performed high-coverage whole-genome resequencing of M. lucifugus sampled prior to (n = 29) and 10 years after the arrival of WNS (n = 30), aligned to a new reference genome to identify signatures of selection associated with pathogen resistance. Using 41.9 million SNPs, we implemented a combination of hard and soft sweep detection analyses, leading to discovery of 405 genes with robust evidence of selection. Of these, 241 (59.5 %) were associated with enriched gene ontology (GO) terms, many of which were tied to neuron development, organization, and function. Further, approximately half (120) of genes associated with enriched GO terms interact with genes identified by previous studies. Our findings suggest WNS resistance is mediated through highly complex, polygenic mechanisms. Further, we demonstrate there are far more connections among WNS selection study results than previously recognized. We believe that the methods employed by our study illustrate a need for a paradigm shift in non-model selection studies and further highlight the value of genomics as a tool for conservation management.
Authors
- Capel, Samantha Lucy Rita ;
- Fraser, Devaughn L. ;
- Field, Kenneth A. ;
- Reeder, DeeAnn M. ;
- Russell, Amy L. ;
- Sudmant, Peter H. ;
- Vazquez, Juan Manuel ;
- Vonhof, Maarten J. ;
- Lilley, Thomas M. ;
- Buchalski, Michael R.
The golden eagle (Aquila chrysaetos) is an apex predator across its Holarctic range. Although chromosome-level reference genome assemblies are available for two of the six golden eagle subspecies (European and Japanese), current assemblies for the North American subspecies (A. c. canadensis) were generated using short-read sequencing technology, limiting completeness, contiguity, and accuracy. Here we present a chromosome-length de novo genome assembly for A. c. canadensis as part of the California Conservation Genomics Project (CCGP). We used Pacific Biosciences HiFi reads and Omni-C chromatin-proximity sequencing to produce a high-quality assembly consistent with the standard CCGP reference genome protocol. Our assembly spans 1.28 Gbp and comprises 316 scaffolds with a scaffold N50 of 47.3 Mbp, a contig N50 of 47.0 Mbp, and a benchmarking universal single-copy ortholog (BUSCO) completeness score of 97.4%. This reference genome assembly offers a valuable resource for delineating genomic variation and assessing conservation needs in golden eagle populations across California and its North American range more broadly.
Authors
- Capel, Samantha Lucy Rita ;
- Fisher, Robert N. ;
- Escalona, Merly ;
- Bloom, Peter H. ;
- Chumchim, Noravit ;
- Fairbairn, Colin W. ;
- Nguyen, Oanh H. ;
- Sahasrabudhe, Ruta M. ;
- Seligmann, William E. ;
- Katzner, Todd E. ;
- Shaffer, H. Bradley ;
- Buchalski, Michael R.