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Published on: August 14, 2018
Molecular phylogenetics before sequences: oligonucleotide catalogs as k-mer spectra
Mark A Ragan1, Guillaume Bernard1, Cheong Xin Chan1
1Institute for Molecular Bioscience, and ARC Centre of Excellence in Bioinformatics; The University of Queensland; Brisbane, QLD, Australia.
Early molecular phylogenetics used rRNA oligonucleotide catalogs to reveal life's domains and microbial evolution. Re-examining these data with k-mer methods confirms their phylogenetic signal and instructive value.
Area of Science:
- Molecular Biology
- Evolutionary Biology
- Bioinformatics
Background:
- Carl Woese's pioneering work from 1971-1985 utilized oligonucleotide catalogs of 16S/18S ribosomal RNAs (rRNAs) from over 400 organisms.
- These data, despite imperfections, yielded crucial insights into the structure, function, and evolution of rRNA, leading to the recognition of a third domain of life and the bacterial phylogenetic backbone.
Purpose of the Study:
- To re-examine the phylogenetic signal within historical oligonucleotide catalogs in the context of modern alignment-free k-mer phylogenetics.
- To assess the aims, successes, and limitations of this early phase of molecular phylogenetics and computational biology.
Main Methods:
- Computationally generated oligonucleotide sets (e-catalogs) from 16S/18S rRNA sequences.
- Calculated pairwise distances using D 2 statistics.
- Constructed distance trees and compared them with alignment-based and k-mer trees.
Main Results:
- Demonstrated that oligonucleotide catalogs retain significant phylogenetic signal, validating Woese's early discoveries.
- The re-analysis provides a comparative performance assessment against contemporary phylogenetic methods.
- Highlighted the instructive value of this historical approach for modern computational molecular biology.
Conclusions:
- Early oligonucleotide catalog data possess substantial phylogenetic information, supporting foundational discoveries in microbial evolution and taxonomy.
- Modern computational approaches, including k-mer analysis, can effectively re-evaluate historical molecular data.
- This study underscores the enduring relevance of early molecular phylogenetics for understanding evolutionary history.
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