ACTA VETERINARIA ET ZOOTECHNICA SINICA ›› 2019, Vol. 50 ›› Issue (9): 1940-1944.doi: 10.11843/j.issn.0366-6964.2019.09.024

• RESEARCH NOTES • Previous Articles     Next Articles

Comparative Transcriptome Analysis of Albendazole-susceptible and Resistant Strains of Haemonchus contortus by RNA-Seq

ZHAO Xueliang1, WANG Shuyi1,2, SUN Ke1, SU Qian1, WANG Wenlong1*, LIU Chunxia3*   

  1. 1. Key Laboratory of Clinical Diagnosis and Treatment Technology in Animal Disease, Ministry of Agriculture, College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot 010018, China;
    2. Inner Mongolia Center for Disease Control and Prevention, Hohhot 010018, China;
    3. College of Life Science, Inner Mongolia Agricultural University, Hohhot 010018, China
  • Received:2019-03-08 Online:2019-09-23 Published:2019-09-23

Abstract: To explore the differences in transcriptome levels between Haemonchus contortus albendazole sensitive and resistant strains, and to find out drug resistance-related genes. Samples of susceptible and resistant strains were analyzed using Illumina HiSeq 4000 platform and their transcriptome libraries were constructed. After quality filtering, bioinformatics analysis was carried out. The results showed that:A total of 218 significantly different expressed genes (DEGs) between albendazole-susceptible and resistant strains were obtained. Among these 218 genes, 121,82 and 102 DEGs have been annotated to 206 GO terms of three categories respectively, namely biological process, cellular component and molecular function. KEGG analysis showed that 42 significantly DEGs were involved in 31 KEGG pathways, and clustered significantly in pathways of drug metabolism-cytochrome P450, drug metabolism-other enzymes and so on. In addition, we identified 9 drug resistance genes in susceptible and resistant strains, such as GST, CYPs, UGT and so on, which play an important role in the drug resistance of Haemonchus contortus. In this study, the biological characteristics of DEGs in susceptible and resistant strains were predicted by RNA-Seq, which involved functional classification and metabolic pathways. This study provides a foundation for drug target prediction and the establishment of early differential diagnosis methods for drug resistance provides an important basis.

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