Genes underlying adaptive physiological shifts among hibernating mammals
Data files
Apr 17, 2025 version files 141.52 MB
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19610_mammalGeneTrees.trees
70.60 MB
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19610_mammalGeneTrees.txt
70.60 MB
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206Species_MasterTree.tre
4.18 KB
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RawEnrichmentData.xlsx
319.15 KB
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README.md
3.60 KB
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RERConverge_120MasterTree.tre
2.12 KB
Abstract
Hibernation has evolved independently in several mammalian lineages, allowing animals to survive extreme environmental conditions through profound physiological shifts, including reduced metabolic rate, heart rate, respiration, and body temperature. These physiological shifts allow hibernators to rely solely on fat reserves, simultaneously avoiding the adverse effects of prolonged immobility seen in non-hibernating species. Although research on individual species has highlighted key aspects of these adaptations, the genetic basis of hibernation across mammals remains poorly understood. Synthesizing both single species and comparative approaches, we use metabolomic data from waking and hibernating black bears (Ursus americanus) to guide bioinformatic analyses of genes using tests of selection and evolutionary rate convergence across independent lineages of hibernating mammals. Our analyses reveal significant changes in carnitine levels between states. Using public databases we generate candidate genes which may contribute to regulation of carnitine, and use these to test for signatures of selection across several independent lineages of hibernating mammals. We also utilize a dataset of 19k proteins across 120 mammalian genomes to identify genes evolving at convergent rates across hibernating mammals. Using both approaches, we find several novel genes likely to impact carnitine metabolism and related functions vital to hibernation such as metabolic shifts, oxidative stress, and tissue preservation. These findings provide new insights into the genetic basis of hibernation and offer promising targets for translational research, including the development of clinical therapies that mimic hibernation-like states for applications in medicine and space exploration.
Dataset DOI: 10.5061/dryad.sn02v6xgw
This dataset accompanies the manuscript "Genes Underlying Adaptive Physiological Shifts Among Hibernating Mammals" and provides files used in comparative genomics and gene enrichment analyses related to hibernation and carnitine metabolism in mammals.
File Descriptions
1. RERConverge_120MasterTree.tre
- Format: Newick (.tre)
- Description: Species tree topology used in RERconverge analyses of gene-wide evolutionary rate shifts.
2. 206Species_MasterTree.tre
- Format: Newick (.tre)
- Description: Full species tree for all species represented in the 404 carnitine-related genes from NCBI ortholog datasets. Used to prune gene-specific trees for selection tests.
3. 19610_mammalGeneTrees.txt
- Format: Plain text (multi-line Newick format)
- Description: Protein-based gene trees from 19,610 orthologs across 120 mammalian genomes, formatted for use in RERconverge.
4. 19610_mammalGeneTrees.trees
- Format: Serialized .trees file (compatible with RERconverge)
- Description: Same gene trees as above, but serialized for rapid use in RERconverge pipelines.
RawEnrichmentData.xlsx – Sheet-by-Sheet Explanation
This Excel file contains results from enrichment analyses testing functional enrichment in gene sets related to hibernation-associated selection signals.
➤ Summary_Unique_Enrichment
- Purpose: Summarizes unique gene ontology enrichments only observed in genes under selection (positive or relaxed) but not in the full 371-gene carnitine dataset.
- Highlights: Significant after Bonferoni Correction
- Red Text: Uniquely enriched in the focal group but not the background group test (ex: genes under positive selection vs all human genes, but not all 371 carnitine related genes vs all human genes)
- Columns:
- Category: GO or UniProt category (e.g., GOTERM_MF_DIRECT)
- Term: Enrichment term and ID
- Count: Number of genes enriched
- %: Percentage of genes in the list showing enrichment
- PValue, Bonferroni, Benjamini, FDR: Statistical metrics
- Genes: List of enriched genes
- Fold Enrichment: Fold overrepresentation relative to background
- List Total, Pop Hits, Pop Total: Gene counts in list vs. background
➤ ALL_371_GenesVS_ALL_Human
- Purpose: GO and pathway enrichment for all 371 carnitine-related genes compared to the full human genome.
- Columns: Same as above. Includes terms from KEGG, GO (CC, BP, MF), and UniProt keywords.
➤ PosSelGenesVS_ALL_Human
- Purpose: Enrichment results from genes identified as under positive selection.
- Interpretation: Functional categories enriched among these positively selected genes.
➤ RelaxedSelGenesVS_ALL_Human
- Purpose: Enrichment results from genes under relaxed selection.
- Interpretation: Functional categories losing constraint in hibernating lineages.
➤ 33_RERGenes_VS_19610_background
- Purpose: Enrichment test of the 33 RERconverge-significant genes against all 19,610 genes from the main mammalian background set.
Software and Code Requirements
- R (v4.x) — Used for RERconverge analysis
- Excel — For viewing the enrichment data
- Any text viewer — To inspect .tre or .txt files
Access information
Data was derived from the following sources:
- NCBI ortholog database
- https://doi.org/10.1093/gigascience/giz159 120 mammalian genomes.
