Abstract
With the large collections of gene and genome sequences, there is a need to generate curated comparative genomic databases that enable interpretation of results in an evolutionary context. Such resources can facilitate an understanding of the co-evolution of genes in the context of a genome mapped onto a phylogeny, of a protein structure, and of interactions within a pathway. A phylogenetically indexed gene family database, the adaptive evolution database (TAED), is presented that organizes gene families and their evolutionary histories in a species tree context. Gene families include alignments, phylogenetic trees, lineage-specific dN/dS ratios, reconciliation with the species tree to enable both the mapping and the identification of duplication events, mapping of gene families onto pathways, and mapping of amino acid substitutions onto protein structures. In addition to organization of the data, new phylogenetic visualization tools have been developed to aid in interpreting the data that are also available, including TreeThrasher and TAED Tree Viewer. A new resource of gene families organized by species and taxonomic lineage promises to be a valuable comparative genomics database for molecular biologists, evolutionary biologists, and ecologists. The new visualization tools and database framework will be of interest to both evolutionary biologists and bioinformaticians.
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Abbreviations
- dN:
-
The normalized rate of nonsynonymous substitutions
- dS:
-
The normalized rate of synonymous substitutions
- TAED:
-
The adaptive evolution database
- PAM:
-
Point accepted mutations, a measure of evolutionary distance
- MPI:
-
Message passing interface
- MSA:
-
Multiple sequence alignment
- NHX:
-
The new Hampshire X format
- NCBI:
-
National center for biotechnology information
- BLAST:
-
Basic local alignment search tool
- PAML:
-
Phylogenetic analysis using maximum-likelihood, software to estimate dN/dS
- PDB:
-
Protein data bank
- KEGG:
-
Kyoto encyclopedia of genes and genomes
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Acknowledgements
The authors would like to thank Jason Davies and Ken-ichi Ueda for generating the base code for the D3 tree visualization software. The authors would also like to thank the Advanced Research Computing Center (ARCC) at the University of Wyoming for technical assistance in implementing the TAED pipeline. The authors would additionally like to thank Jessica Siltberg-Liberles and Dietlind Gerloff for feedback on data quality during database development. Lastly, the authors would like to thank National Science Foundation Grants DBI-0743374 and DBI-1355846 for support as well as the University of Wyoming INBRE Award P20 RR016474.
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RAH and DAL conceived of the study. RAH built the pipeline to generate the database, built the database, executed most of the analysis, and wrote the first draft of the manuscript. DAL supervised the project and contributed significantly to the writing of the manuscript. BPO wrote TAED Tree Viewer, adapted OneZoom for TAED use, and also contributed to the pipeline and data analysis. SK wrote TreeThrasher. SDS contributed to database construction and function, including the protein viewer. DN wrote the API. KLK and SM contributed to running the pipeline and database analysis. All authors contributed to final writing of the manuscript.
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Hermansen, R.A., Oswald, B.P., Knight, S. et al. The Adaptive Evolution Database (TAED): A New Release of a Database of Phylogenetically Indexed Gene Families from Chordates. J Mol Evol 85, 46–56 (2017). https://doi.org/10.1007/s00239-017-9806-8
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DOI: https://doi.org/10.1007/s00239-017-9806-8