Take the 2-minute tour ×
Biology Stack Exchange is a question and answer site for biology researchers, academics, and students. It's 100% free, no registration required.

Looking at some more detailed codon usage tables, genes may be further clustered into three gene classes: Metabolic genes, highly expressed genes during exponential growth, and horizontal gene transfer. Looking at the original paper by Medique et al., they clustered the genes based on the CAI and then by a variant of k-means determined 3 classes. Note that this is different from a class II gene which is determined by the types of RNA polymerase used.

How did they end up determining what the three classes are? It seems as if they made this generalization without any proteome data. Would the same genes be classified using a protein expression data during exponential growth and stationary growth?

share|improve this question

1 Answer 1

up vote 3 down vote accepted

I read through the paper. The author starts by stating that as of the time of writing, two different classes of codon usage profiles were known (or at least putatively so). All 782 unique CDS sequences used were subjected to a two-step classification method. In step one, each CDSs was broken down into a 61-dimensional vector representing each of the 61 possible codons. A factorial cluster analysis (the categorical, multi-variate equivalent of principle component analysis) was run on these vectors, condensing 61 dimensions down to 2 dimensions. Now that the data complexity has been reduced to 2D, it is more manageable for a k-means algorithm to partition the data. In the end, the genes were clustered into 3 orthogonal groups (classes I, II and III, with 502, 191 and 89 CDS, respectively).

Only after the authors clustered the gene set were they able to go back and look at the canonical definitions of each gene. It so happened, fortuitously, that each class of the genes had a strong bias for subsets of cellular function (eg, metabolism, protein biosynthesis, transport). They did not use proteome data, but they were able to define the role for a large number of these genes based on the body of literature at the time.

share|improve this answer
    
Thanks for the analysis. I'm curious how this dataset matches up with the Highly Expressed Genes Database which uses validated genes. genomes.urv.cat/HEG-DB –  bobthejoe Apr 12 '12 at 6:49
    
I was thinking how this would compare with what is deposited in the NCBI database as of today. This paper is from 1991 so I think it pre-dates many of these larger scale databases. It would be interesting to see how it compares to the HEG database you indicated. –  leonardo Apr 12 '12 at 11:53

Your Answer

 
discard

By posting your answer, you agree to the privacy policy and terms of service.

Not the answer you're looking for? Browse other questions tagged or ask your own question.