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Title: Transcriptome database derived from the Texas Deutsch outbreak strain population of the cattle tick, Rhipicephalus (Boophilus) microplus

Author
item Heekin, Andrew
item Guerrero, Felicito
item LEW-TABOR, A - University Of Queensland
item Dowd, Scot
item MOOLHUIJZEN, P - Murdoch University
item BELLGARD, M - Murdoch University

Submitted to: National Center for Biotechnology Information (NCBI)
Publication Type: Other
Publication Acceptance Date: 5/7/2012
Publication Date: N/A
Citation: N/A

Interpretive Summary: The Southern cattle tick, Rhipicephalus (Boophilus) microplus, vectors Babesia bovis and B. bigemina, which are the protozoans causing cattle fever, a disease that is responsible for significant production losses to cattle producers in much of Africa, Central and South America, and Australia. We initiated a study of the expressed genes of the synganglia, essentially the brain, of ticks collected from an outbreak strain of cattle ticks discovered in Texas (Deutsch strain) in an attempt to identify tick genes which might be candidates for development of anti-tick or anti-Babesia control technologies. We applied a technique known as next-generation 454 pyrosequencing to dissected synganglia from the outbreak ticks. Thus, we have produced a very large DNA sequence database consisting of gene coding regions from expressed genes in the synganglia of Texas outbreak ticks. The sets of sequences have been submitted and published under NCBI SRA Accession Number SRA052261.1

Technical Abstract: The Southern cattle tick, Rhipicephalus (Boophilus) microplus, vectors Babesia bovis and B. bigemina, which are the protozoans causing cattle fever, a disease that is responsible for significant production losses to cattle producers in much of Africa, Central and South America, and Australia. We initiated a study of the transcriptome of synganglia from ticks collected from a cattle tick outbreak population, the Deutsch strain, in an attempt to identify tick genes which might be candidates for development of anti-tick or anti-Babesia control technologies. We applied 454 pyrosequencing to dissected synganglia from the Deutsch outbreak ticks and have produced a very large DNA sequence database of this transcriptome. The sets of sequences have been submitted and published under NCBI SRA Accession Number SRA052261.1.