New outcomes in mutation rates analysis

TL;DR

This paper investigates the relationship between GC-content variability and mutation rates across genomes, revealing a new recurrence in amino acid coding and analyzing recombination frequency with SNP distribution.

Contribution

It uncovers a novel link between GC-content and mutation rates and introduces new observations on amino acid coding recurrence and SNP-based recombination analysis.

Findings

GC-content varies significantly across genome regions and species.

A new recurrence pattern in amino acid coding was identified.

Recombination frequency correlates with SNP distribution.

Abstract

The GC-content is very variable in different genome regions and species but although many hypothesis we still do not know the reason why. Here we show that a relationship exists with the mutation rate, in particular we noticed a new recurrence in the amino acids coding table. Moreover we analyze recombination frequency taking into account Single Nucleotide Polymorphisms hourglass distribution.