Alternative annotation of Aspergillus genomes with multi-genome Gnomon method.

Ref ID: 18332

Author:

Alexandre Souvorov, Boris Kiryutin, Vyacheslav Chetvernin,
Barbara Robbertse, Leonid Zaslavsky, Tatiana Tatusova.,

Author address:

The National Center for Biotechnology Information, National Institutes of Health Bethesda
Maryland, USA., robberts@ncbi.nlm.nih.gov.

Full conference title:

Asperfest 8

Abstract:

A novel Gnomon annotation method uses comparative multi-genome approach that utilize the fact that functional regions of a genomic sequence, and
protein-coding regions in particular, are more conserved than non-functional. This method starts from a single genome Gnomon gene prediction and then
uses a comparative analysis among multiple genomes to gradually improve the annotation through the iterative process. The approach has been tested
on genomes from eight Aspergillus species. Original annotations submitted to GenBank for eight Aspergillus species were compared to those predicted
by multi-Gnomon using a protein cluster procedure. By design, the multi-genome Gnomon propagates proteins found on one genome into other genomes.
The result is an increased number of clusters which included proteins from all eight Aspergillus genomes. Overall the clustering results showed that more
Gnomon models shared clusters with other fungal proteins than the predicted proteins of these genomes in GenBank. There were 1054 clusters which
included a S. pombe protein and proteins from all eight Aspergillus genomes (Gnomon or existing Genbank annotations). Gnomon predicted proteins
were present in almost all of the clusters. In these clusters 545 Gnomon models did not have a GenBank counterpart yet 87% of these Gnomon models
had direct (same species) or indirect EST support (from other Aspergilli).

Abstract Number: 10)

Conference Year: 2011

Link to conference website: NULL

New link: NULL

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