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Miller, J. B.

Publications and source records attributed to Miller, J. B..

3 recordsLinked to original sources

Codon Pairs are Phylogenetically Conserved: Codon pairing as a new class of phylogenetic characters

Identical codon pairing and co-tRNA codon pairing increase translational efficiency within genes when two codons that encode the same amino acid are located within a ribosomal window. By examining both identical and co-tRNA codon pairing across 23 423 species, we determined that both pairing techniques are phylogenetically informative across all domains of life using either an alignment-free or parsimony framework. We also determined that conserved codon pairing typically has a smaller window size than the length of a ribosome. We also analyzed frequencies of codon pairing for each codon to determine which codons are most likely to pair. The alignment-free method does not require orthologous gene annotations and recovers species relationships that are comparable to other alignment-free techniques. Parsimony generally recovers phylogenies that are more congruent with the established phylogenies than the alignment-free method. However, four of the ten taxonomic groups do not have sufficient ortholog annotations and are therefore recoverable using only the alignment-free methods. Since the recovered phylogenies using only codon pairing largely match established phylogenies and are comparable to other algorithms, we propose that codon pairing biases are phylogenetically conserved and should be considered in conjunction with current techniques in future phylogenomic studies. Furthermore, the phylogenetic conservation of codon pairing indicates that codon pairing plays a greater role in the speciation process than previously acknowledged.\n\nAvailabilityAll scripts used to recover and compare phylogenies, including documentation and test files, are freely available on GitHub at https://github.com/ridgelab/codon_pairing.

evolutionary biology

Codon Use and Aversion is Largely Phylogenetically Conserved Across the Tree of Life

Using parsimony, we analyzed codon usages across 12 337 species and 25 727 orthologous genes to rank specific genes and codons according to their phylogenetic signal. We examined each codon within each ortholog to determine the codon usage for each species. In total, 890 814 codons were parsimony informative. Next, we compared species that used a codon with species that did not use the codon. We assessed each codons congruence with species relationships provided in the Open Tree of Life (OTL) and determined the statistical probability of observing these results by random chance. We determined that 25 771 codons had no parallelisms or reversals when mapped to the OTL. Codon usages from orthologous genes spanning many species were 1 109x more likely to be congruent with species relationships in the OTL than would be expected by random chance. Using the OTL as a reference, we show that codon usage is phylogenetically conserved within orthologous genes in archaea, bacteria, plants, mammals, and other vertebrates. We also show how to use our provided framework to test different tree hypotheses by confirming the placement of turtles as sister taxa to archosaurs.\n\nAvailabilityAll scripts, a README, and necessary test files are freely available on GitHub at https://github.com/ridgelab/codon_congruence\n\nContactperry.ridge@byu.edu

evolutionary biology

Failure to detect synergy between variants in transferrin and hemochromatosis and Alzheimer’s disease in large cohort

Alzheimers disease (AD) is the most common cause of dementia and, despite decades of effort, there is no effective treatment. In the last decade, many association studies have identified genetic markers that are associated with AD status. Two of these studies suggest that an epistatic interaction between variants rs1049296 in the Transferrin (TF) gene and rs1800562 in the Homeostatic Iron Regulator (HFE) gene, commonly known as \"the hemochromatosis gene\", is in genetic association with AD. TF and HFE are involved in the transport and regulation of iron in the brain, and disrupting these processes exacerbates AD pathology through increased neurodegeneration and oxidative stress. However, by using a significantly larger dataset from the Alzheimers Disease Genetics Consortium (ADGC), we fail to detect an association between TF rs1049296 or HFE rs1800562 with AD risk (TF rs1049296 p=0.38 and HFE rs1800562 p=0.40). In addition, logistic regression with an interaction term and a Synergy Factor Analysis (SFA) both failed to detect epistasis between TF rs1049296 and HFE rs1800562 (SF=0.94; p=0.48) in AD cases. Each of these analyses had sufficient statistical power (Power>0.99), suggesting that previously-reported associations may be the result of more complex epistatic interactions, genetic heterogeneity, or were false-positive associations due to limited sample sizes.

genetics