Project description:Fasciola gigantica infects buffalo in Asian and African countries and causes significant economic losses. As a kind of zoonotic parasite disease, human infection has been reported and make fascioliasis patients suffer heavy abdominal pain, anemia and workforce loss. Fasciola can modulate host immune responses to survive from immune attack and some mechanisms have been reported with its antigen protein. Protein, as the chief actors within the cell, presents the dynamic changes of body with its specific changes and serves as unexceptionable biomarkers in many disease-detections. But there is not any study about serum proteomic for diagnostic target seeking in buffalo after infection with F. gigantica. Herein, Isobaric Tags for Relative and Absolute Quantitation (iTRAQ) and Parallel Reaction Monitoring (PRM) technologies were used in the present study to reveal the dynamic changes of proteins in buffalo serum after infected with F. gigantica. Six proteins were found significantly regulated in all three groups which reminds us that they could be used as new diagnostic biomarkers in buffalo throughout F. gigantica infection. All these are new findings in buffalo after infection with F. gigantica and could provide a new insight into the potential possibility in this parasite clearance.
Project description:Widespread Fasciola gigantica infection in buffaloes has caused great economic losses in buffalo farming. Studies on F. gigantica excretory and secretory products (FgESP) have highlighted their importance in F. gigantica parasitism and their potential in vaccine development. Identifying FgESP components involved in F. gigantica-buffalo interactions during different periods is important for developing effective strategies against fasciolosis. Buffaloes were assigned to non-infection (n = 3, as control group) and infection (n = 3) groups. The infection group was orally administrated 250 metacercariae. Sera were collected at 3, 10, and 16 weeks post-infection (wpi) for the non-infection group and at 0 (pre-infection), 1, 3, 6, 8, 10, 13, and 16 wpi for the infection group. FgESP components interacting with sera from the non-infection and infection groups assay were pulled down by co-IP and identified using LC-MS/MS. Interacting FgESP components in infection group were subjected to Kyoto Encyclopedia of Genes and Genomes (KEGG) metabolic pathway and gene ontology (GO) functional annotation to infer their potential functions. Proteins of FgESP components identified in the non-infection group at 3, 10, and 16 wpi accounted for 80.5%, 84.3%, and 82.1% of all proteins identified in these 3 time points, respectively, indicating surroundings did not affect buffalo immune response during maintenance. 490 proteins were identified in the infection group, of which 87 were consistently identified at 7 time points. Following GO analysis showed that most of these 87 proteins were in biological processes, while KEGG analysis showed they mainly functioned in metabolism and cellular processing, some of which were thought to functions throughout the infection process. The numbers of specific interactors identified for each week were 1 (n = 12), 3 (n = 5), 6 (n = 8), 8 (n = 15), 10 (n = 23), 13 (n = 22), and 16 (n = 14) wpi, some of which were thought to functions in specific infection precess. This study screened the antigenic targets in FgESP during a dense time course over a long period. These findings may enhance the understanding of molecular F. gigantica-buffalo interactions and help identify new potential vaccine and drug target candidates.
Project description:To investigate microRNAs (miRNAs) involving in the regulation of the schistosome development and survival, we compared miRNA expression profiles of adult Schistosoma japonicum derived from yellow cattle and water buffalo using high-throughput sequencing with Illumina Hiseq Xten.
Project description:Background: Intramuscular fat (IMF) content is an important index for beef quality. However, the genetics of IMF deposition is complex and still largely unclear, especially in buffalo. To identify miRNAs with potential regulatory role in lipid accumulated in muscle, we performed small RNA sequencing and identified miRNAs expressed in the longissimus dorsi muscle and back fat of Chinese buffalo, which provided vital information for further identification of miRNAs with potential regulatory role in the lipid accumulated in muscle. Results: Three small RNA libraries were constructed. A total of 32762032 raw reads were obtained from adipose groups, respectively. After filtering the adaptor and low quality reads, 32054381 clean reads were retained. In total, 623 miRNAs were identified.
Project description:Background: Intramuscular fat (IMF) content is an important index for beef quality. However, the genetics of IMF deposition is complex and still largely unclear, especially in buffalo. To identify miRNAs with potential regulatory role in lipid accumulated in muscle, we performed small RNA sequencing and identified miRNAs expressed in the longissimus dorsi muscle and back fat of Chinese buffalo, which provided vital information for further identification of miRNAs with potential regulatory role in the lipid accumulated in muscle. Results: Six small RNA libraries were constructed. A total of 66,128,645 and 70,974,347 raw reads were obtained from muscle and adipose groups, respectively. After filtering the adaptor and low quality reads, 60,765,257 and 67,327,095 clean reads were retained. In total, 721 miRNAs were identified.
Project description:Background: Intramuscular fat (IMF) content is highly valued as it improves meat product quality by enhancing taste, juiciness, and tenderness. IMF content can be significantly different between breeds. Thought many lipid metabolism-related genes are stated to be associated with IMF deposition, the molecular mechanism of IMF deposition is still poorly understood. To date, no gene or mutation loci responsible for the difference of IMF content among cattle breeds has been identified. To identify transcripts with potential regulatory role in lipid accumulated in muscle tissue, RNA sequencing was performed to compare the mRNAs, lncRNAs, and circRNAs expression patterns in the longissimus dorsi muscle and back fat between Chinese buffalo and cattle. Results: A total of 12 cDNA libraries were constructed. A total of 925,441,106 and 512,507,068 raw reads were obtained from buffalo and cattle, respectively. After filtering the adaptor and low quality reads, 909,040,352 and 491,967,820 clean reads were retained. In total, 19,917 mRNAs, 43,975 lncRNAs, and 10,701 circRNAs were identified in buffalo and 19,383 mRNAs, 8,265 lncRNAs, and 18,535 circRNAs were identified in cattle.
Project description:Duplicated sequences are the important source of gene innovation and structural variation within mammalian genomes. Using a read depth approach based on next-generation sequencing, we performed a genome-wide analysis of segmental duplications (SDs) and associated copy number variants (CNVs) in water buffalo (Bubalus bubalis). Aligning to the UMD3.1 cattle genome, we estimated 44.6 Mb (~1.73% of cattle genome) segmental duplications in the autosomes and X chromosome using the sequencing reads of Olimpia (the sequenced water buffalo). 70.3% (70/101) duplications were experimentally validated using the fluorescent in situ hybridization. We also detected a total of 1344 CNV regions across 14 additional water buffalos as well as Olimpia, amounting to 59.8Mb of variable sequence or 2.2% of the cattle genome. The CNV regions overlap 1245 genes and are significantly enriched for specific biological functions such as immune response, oxygen transport, sensory system and signalling transduction. Additionally, we performed array Comparative Genomic Hybridization (aCGH) experiments using the 14 water buffalos as test samples and Olimpia as the reference. Using a linear regression model, significant and high Pearson correlations (r = 0.781) were observed between the digital aCGH values and aCGH probe log2 ratios. We further designed Quantitative PCR assays to confirm CNV regions within or near annotated genes and found 74.2% agreement with our CNV predictions.