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Revista mexicana de ciencias pecuarias

versión On-line ISSN 2448-6698versión impresa ISSN 2007-1124

Resumen

PEREZ DE LA ROSA, José Javier et al. Babesia bigemina: Initial gene identification by Expressed Sequence Tags (EST) analysis of the intraerythrocytic stage. Rev. mex. de cienc. pecuarias [online]. 2012, vol.3, suppl.1, pp.61-87. ISSN 2448-6698.

In this study, Expressed Sequence Tags (EST) were obtained and analyzed from 2208 randomly selected clones containing plasmids with cDNA inserts derived from a Babesia bigemina library. The obtained sequences were extracted and subject to Blast homology search in the Genbank databases. Sequence homology analysis resulted in the identification of 470 clones (grouped in 267 distinct clusters) which contained EST with no significant sequence identity with Babesia sp genes or other Apicomplexan parasites. Presumably, these EST would correspond either to new, unreported B. bigemina transcribed genes present in the erythrocyte stages of the parasite, or to non-translated sequences of the putative genes. 21 clones were identified which contained EST corresponding to 6 genes coding for B. bigemina antigens already reported in the literature; 1285 clones (grouped in 159 clusters of distinct sequences) had significant sequence identity with genes coding for hypothetical proteins previously identified in the Babesia bovis genome. Moreover, 32 clones had EST corresponding to 16 different Theileria sp. genes; 51 clones (26 distinct sequences) showed EST with sequence similarity to genes of Plasmodium sp., 25 EST had low identity with 13 different Toxoplasma gondii genes; and 4 clones with EST for 4 different Cryptosporidium sp genes. The results obtained, in addition to EST analysis of a larger number of B. bigemina cDNA clones, will allow the characterization and, eventually, the manipulation of gene coding regions, essential for the establishment of improved control strategies for cattle babesiosis caused by B. bigemina.

Palabras llave : Babesia bigemina; Expressed Sequence Tags (EST) analysis.

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