11307 rose cDNA clusters contained more than 15 reads and only 32 clusters contained over 200 reads, amongst which 3 had more than 300 reads (with a maximum of 447 reads for the most represented cluster).
a Of 21,437 proteins 1,358 were candidate orphans b AC, Ancylostoma caninum; AE, A. ceylanicum The 25 most abundantly represented clusters account for 14%and19%9% of ESTs for A. caninum and A. ceylanicum respectively.
hsp-12.6, a member of the hsp-20 family, was one of the most highly represented clusters in A. caninum iL3 and taL3 as well as A. ceylanicum iL3 (Table 5 and Table 6).
The most widely represented cluster within Ascomycota contained proteins from 20 of the 21 species analyzed within this taxon but was not specific to it since it also occurred in other phyla.
This is the most parsimonious model allowable, where the connections among the clusters are assigned taking into account both their positions on the discriminant axes and the geographical region most represented in each cluster.
The annotated GO terms in each cluster were fixed at level 2. The most represented terms in each cluster were mainly associated with metabolic and cellular processes.
On the basis of the above assumption, each cluster was numbered and named according to the functional assignment of the most represented proteins in the cluster (Table 3).
The 10 clusters identified in the run with the highest estimated probability were named according to the geographical location or traditional cultivar most represented in that particular cluster: Marañon, Curaray, Criollo, Iquitos, Nanay, Contamana, Amelonado, Purús, Nacional and Guiana.
The COG classification, based on the most represented COG category in each cluster (see Methods), is shown in the heading of each cluster.
Interestingly, the majority of the genes included in the most represented GO terms belonged to cluster 4 from CAGED analysis; 24 of 36 (67%%) genes for the Biological Process and 36 of 63 (57 %) genes for Cellular Component.> The immobilization genes were mapped to their corresponding metabolic pathways using KEGG pathway analysis and the Reactome software.
