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Analysis of differentially expressed genes in two immunologically distinct strains of Eimeria maxima using suppression subtractive hybridization and dot-blot hybridization

Authors :
Dandan Liu
Jianmei Li
Liqin Cao
Shangshang Wang
Hongxiao Han
Yantao Wu
Jianping Tao
Source :
Parasites & Vectors, Vol 7, Iss 1, Pp 1-10 (2014)
Publication Year :
2014
Publisher :
BMC, 2014.

Abstract

Abstract Background It is well known that different Eimeria maxima strains exhibit significant antigenic variation. However, the genetic basis of these phenotypes remains unclear. Methods Total RNA and mRNA were isolated from unsporulated oocysts of E. maxima strains SH and NT, which were found to have significant differences in immunogenicity in our previous research. Two subtractive cDNA libraries were constructed using suppression subtractive hybridization (SSH) and specific genes were further analyzed by dot-blot hybridization and qRT-PCR analysis. Results A total of 561 clones were selected from both cDNA libraries and the length of the inserted fragments was 0.25–1.0 kb. Dot-blot hybridization revealed a total of 86 differentially expressed clones (63 from strain SH and 23 from strain NT). Nucleotide sequencing analysis of these clones revealed ten specific contigs (six from strain SH and four from strain NT). Further analysis found that six contigs from strain SH and three from strain NT shared significant identities with previously reported proteins, and one contig was presumed to be novel. The specific differentially expressed genes were finally verified by RT-PCR and qRT-PCR analyses. Conclusions The data presented here suggest that specific genes identified between the two strains may be important molecules in the immunogenicity of E. maxima that may present potential new drug targets or vaccine candidates for coccidiosis.

Details

Language :
English
ISSN :
17563305
Volume :
7
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Parasites & Vectors
Publication Type :
Academic Journal
Accession number :
edsdoj.2cb7a7d2f33a4157bad988e62c6ac5a1
Document Type :
article
Full Text :
https://doi.org/10.1186/1756-3305-7-259