Genome dynamics of short oligonucleotides: the example of bacterial DNA uptake enhancing sequences.
Among the many bacteria naturally competent for transformation by DNA uptake-a phenomenon with significant clinical and financial implications- Pasteurellaceae and Neisseriaceae species preferentially take up DNA containing specific short sequences. The genomic overrepresentation of these DNA uptake enhancing sequences (DUES) causes preferential uptake of conspecific DNA, but the function(s) behind this overrepresentation and its evolution are still a matter for discovery. Here I analyze DUES genome dynamics and evolution and test the validity of the results to other selectively constrained oligonucleotides. I use statistical methods and computer simulations to examine DUESs accumulation in Haemophilus influenzae and Neisseria gonorrhoeae genomes. I analyze DUESs sequence and nucleotide frequencies, as well as those of all their mismatched forms, and prove the dependence of DUESs genomic overrepresentation on their preferential uptake by quantifying and correlating both characteristics. I then argue that mutation, uptake bias, and weak selection against DUESs in less constrained parts of the genome combined are sufficient enough to cause DUESs accumulation in susceptible parts of the genome with no need for other DUES function. The distribution of overrepresentation values across sequences with different mismatch loads compared to the DUES suggests a gradual yet not linear molecular drive of DNA sequences depending on their similarity to the DUES. Other genomically overrepresented sequences, both pro- and eukaryotic, show similar distribution of frequencies suggesting that the molecular drive reported above applies to other frequent oligonucleotides. Rare oligonucleotides, however, seem to be gradually drawn to genomic underrepresentation, thus, suggesting a molecular drag. To my knowledge this work provides the first clear evidence of the gradual evolution of selectively constrained oligonucleotides, including repeated, palindromic and protein/transcription factor-binding DNAs.
Bakkali
Mohammed
M
Institute of Genetics, Queen's Medical Center, University of Nottingham, Nottingham, United Kingdom. mbakkali@gmail.com
D001483:Base Sequence; D003198:Computer Simulation; D004269:DNA, Bacterial / Q000235:genetics / Q000378:metabolism; D019143:Evolution, Molecular; D016680:Genome, Bacterial; D006193:Haemophilus influenzae / Q000235:genetics* / Q000378:metabolism; D008969:Molecular Sequence Data; D009344:Neisseria gonorrhoeae / Q000235:genetics* / Q000378:metabolism; D009841:Oligonucleotides / Q000235:genetics / Q000378:metabolism; D016415:Sequence Alignment; D017422:Sequence Analysis, DNA
D004269:DNA, Bacterial; D009841:Oligonucleotides
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