Julius B. Lucks/Bibliography/Zeldovich-PLoSCompBio-2007

Notes on [1]

• Have T_opt = optimal growing temperature for a variety of organisms
• for every possible set of amino acids, labeled by a 20-element vector full of 1's and 0's (membership), fill the 1's with the actual frequency of that amino acid in the genome - do for each of 83 genomes
  • take these vectors with frequency information and sum elements to get an F-value for that combination of aa's
  • regress the F-values against the T_opts - calculate r2
  • search over all possible aa combination vectors - find the combination that gives the best r2
• this combination is IVRWREL
• control to verify this is not due to biased nucleotide content
  • shuffle the nucleotides of the genomes, and recompute translated protein sequences
  • observe that pattern of amino acids that predict T_opt change in shuffled genomes
    • therefore reason that amino acid usage independant of nucleotide patterns (if they were the same, then nucleotide patters could be said to 'explain' the amino acid patterns)
  • something funny about this test
• find that GC content not related to T_opt, or fraction of IVYWREL in the genome (F6)
• is correlation between A+G content and T_opt
  • if take sequences, and reverse translate with no codon bias, get A+G content that correlates with T_opt (F7) almost as strongly as what get with observed DNA sequences (r = 0.48 vs. r = 0.60)

References

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1. Notes