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Rosina Piovani

Publications and source records attributed to Rosina Piovani.

2 recordsLinked to original sources

CpG islands are the second main factor shaping codon usage in human genes.

A correspondence analysis of codon usage in human genes revealed, as expected, that the first axis is strongly correlated with the base composition at synonymous third codon positions. At one extreme of the second axis were localized genes with a high frequency of NCG and CGN codons. The great majority of these sequences were embedded in CpG islands, while the opposite is true for the genes placed at the other extreme. The two main conclusions of this paper are: (1) the influence of CpG islands on codon usage, and (2) since the second axis is orthogonal (and therefore independent) of the first, GC3-rich genes are not necessarily associated with CpG islands.

Base Composition↗

Genomic GC content prediction in prokaryotes from a sample of genes.

GC level is a key feature in prokaryotic genomes. Widely employed in evolutionary studies, new insights appear however limited because of the relatively low number of characterized genomes. Since public databases mainly comprise several hundreds of prokaryotes with a low number of sequences per genome, a reliable prediction method based on available sequences may be useful for studies that need a trustworthy estimation of whole genomic GC. As the analysis of completely sequenced genomes shows a great variability in distributional shapes, it is of interest to compare different estimators. Our analysis shows that the mean of GC values of a random sample of genes is a reasonable estimator, based on simplicity of the calculation and overall performance. However, usually sequences come from a process that cannot be considered as random sampling. When we analyzed two introduced sources of bias (gene length and protein functional categories) we were able to detect an additional bias in the estimation for some cases, although the precision was not affected. We conclude that the mean genic GC level of a sample of 10 genes is a reliable estimator of genomic GC content, showing comparable accuracy with many widely employed experimental methods.

Base Composition↗