Phylogeny using UTR sequences: any insights?

A rather general question:

The phylogeny of many gene families has been studied using only the coding sequences, with an analysis focused on identifying the relevant genes / aligning them / building trees and exploiting the results.

How can you adapt this process to newly annotated full length transcripts? Do introns matter?
I guess you can do the same work with full length transcripts and compare the trees you obtain with both methods, classify the genes according to the length and structure of their 3'UTR, or look for regulatory motifs. Is there anything else to do, or relevant tools?

I would be interested in any advice, article or textbook reference. This kind of phylogeny often seems to be done on virus...

rna-seq annotation phylogeny

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updated 11.1 years ago by abascalfederico

• written 11.2 years ago by cyril-cros

2 answers

The question is interesting. However, those kind of comparisons will be unfeasible unless species are very closely related (e.g. primates) because UTRs, introns et al diverge very fast. Even if some regions remain conserved within UTRs or introns, sequence alignment would be very difficult or even impossible due to unconserved neighbor regions.

Alternatively, you could try some alignment-free approach. For instance, you could build a matrix of characters in which each character represents a given feature (e.g. conservation of a certain element, length of UTR, number of exons, etc)

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updated 6.8 years ago by Ram

• written 11.1 years ago by abascalfederico

Thanks for the comment. I was considering olfactory receptor genes, which are badly annotated. They tend to be a bit of a mess (genomic clusters with lots of similar sequences). Zhang and Firestein wrote some papers on their CDS in 2002/2004.
An interesting question is to see if they have conserved regions in their introns/UTRs, and if they evolve at a faster pace than the CDS.

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written 11.1 years ago by cyril-cros

Introns do matter, or at least their location along the gene according to:

http://www.ncbi.nlm.nih.gov/pubmed/17495009

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written 11.2 years ago by Asaf