The effect of FecB mutation on the gene expression in FecB carrier and noncarrier estrous synchronized ewes, has been analyzed. For this study the whole ovarian tissues and Graafian follicles were collected from estrus synchronized FecB carrier Garole, and non-carrier Deccani Indian sheep, showing remarkable differences in the numbers of preovulatory follicles among two groups. Eleven potential candidate genes (BMP15, GDF9, BMP4, BMP7, BMPR1B, BMPR1A, SMAD9, LHCGR, FSHR, IGF1R, and STAT5) were selected for their expression analysis by SybrGreen based real-time PCR, across ovaries and Graafian follicles of different fecundity groups, for having better insights into the effect of FecB genotypes on follicular development. Variable expression was observed for almost all the genes included in the present study among high and low fecundity groups that was most significant for the BMP7, BMP4, LHCGR, and FSHR transcripts in the ovarian follicles of high and low fecundity ewes, indicating their importance in governing the fecundity in FecB carrier, Indian Garole sheep. BMP4 expression among the genes studied was significantly higher in FecB carrier Garole sheep. This study confirms the changes in mRNA expression of the genes implicated in follicular development in FecB carrier and noncarrier Indian sheep breeds.
In the present study, expression level of various ATP-binding cassette (ABC) viz., ABCA1, ABCA7, ABCG1, ABCG2, and ABCG5; associated transcription factors viz., SREBF1, LXRα (NR1H3), PPARA, and Solute Carriers (SLC); or Glucose transporters (GLUT) viz., SLC2A1(GLUT1), SLC2A4 (GLUT4), SLC2A8 (GLUT8), and SLC2A12 (GLUT12) superfamily of transporters were compared across physiological stages of buffalo mammary gland. The relative expression of ABCA1, and ABCG1 was significantly (p < 0.05) higher in mammary gland of heifer followed by involution and lactation stages. Similarly, ABCA7 gene expression was highest in heifer mammary gland followed by lactation and involution stages. ABCG2 gene expression was significantly (p < 0.05) high in lactating mammary gland in comparison to involution and heifer stages. On the other hand, ABCG5 gene expression was highest in involuting mammary gland followed by lactation and involution stages. Additionally, the expression of LXRα SREBF1, and PPARA which are known to regulate some of the ABC tranporters were also analyzed. The expression of LXRα gene was high in involuting as compared to lactating mammary gland. In contrast, SREBF1 and PPARA expression was significantly (p < 0.05) high in lactating mammary gland. Among the several SLC transporters studied, SLC2A1, SLC2A4, and SLC2A8 showed significant (p < 0.05) higher expression during lactation stage, whereas SLC2A12 expression was greater during heifer stage suggesting SLC2A1, SLC2A4, and SLC2A8 to be the major transporters associated with glucose uptake in buffalo mammary gland. The expression profile of (lactoferrin) LTF, known to be expressed at high level in mammary gland during involution was also studied. As expected, its expression was significantly (p < 0.05) higher during involution in comparison to lactating mammary gland.in buffaloes as well. The inclusion of LTF as a control gene further provided the confidence in the buffalo mammary gland expression data generated in the present study. This study thus helped to provide information about the distinct expression pattern of various transporters and their regulators in buffalo mammary gland during different physiological states.
In this study, buffalo (Bubalus bubalis) Toll-like receptor 8 (TLR8) gene has been characterized by sequence analysis and detecting polymorphism. Complete ORF of buffalo TLR8 gene was amplified using the RNA isolated from spleen tissue, which was found to be 3,102 nucleotides long encoding a 1,033 amino acid protein. Buffalo TLR8 had 10 nucleotide changes as compared to other livestock species resulting in six unique amino acid changes, four of them lying within leucine-rich repeat (LRR) domains. As compared to cattle (Bos indicus and Bos taurus), out of fifteen cysteine residues, fourteen were conserved and Cys at position 521 was replaced by Arg. Nine of the LRR domains had no amino acid change as compared to cattle, whereas LRR-C-terminus had maximum, five amino acid changes. Sequence characterization of 12 riverine and swamp buffaloes revealed presence of four polymorphic nucleotides, two of them were non-synonymous, one synonymous and one site in 3'UTR. PCR-RFLP genotyping of non-synonymous SNP 2758A>G (ILeu920Val) in Toll-interleukin-1 receptor domain of 463 swamp and riverine buffaloes showed a higher frequency of allele A in swamp (95 %) as compared to riverine (9.84 %) buffaloes.
In this study, a simple PCR-based tetra-primers amplification refractory mutation system (ARMS)-PCR technique has been developed to screen one of the synonymous Single Nucleotide Polymorphism (SNPs) 1551A ! G found in buffalo TLR8 gene. The technique was employed to screen 152 genomic DNA samples represented by various riverine and swamp buffaloes. Analysis of data revealed presence of all the three AA, A/G and GG genotypes in Chilika buffalo Á whereas only genotype GG was found in all other riverine and swamp buffaloes. The results indicate allele 'A' to be Chilika specific and that the technique of tetra-primers ARMS-PCR can be used as a cost-effective, alternate method to differentiate the genotypes.
Gene expression analysis unravels the complex changes or relations at transcriptomic level. To nullify all type of errors that can be incorporated during any stage of RNA extraction into cDNA synthesis and for reliable results, the data obtained from qPCR have to be normalized using the appropriate/suitable housekeeping genes (HKGs). Unfortunately, till date, no such HKG has been reported for bubaline mammary gland. The objective of the present study was thus to identify and validate the potential HKGs for the gene expression studies in buffalo mammary gland. Mammary tissues from twelve buffaloes during different physiological stages: pre-pubertal (heifer), lactation and involution were obtained for the present study. A total of 16 potential HKGs (GAPDH, β-actin, UXT, β2M, A2M, RPl4, RPS9, RPS15A, RPS18, RPS23, HMBS, HPRT1, GTP, EEF1A1, UB1 and RPL22) from different functional classes were evaluated. The analysis revealed that the expression of EEF1A1, RPl4, β2M and RPS15A was most consistent across different physiological stages of buffalo mammary gland. On the other hand, β-actin, A2M, RPL22 and GAPDH were the least stable genes making them unsuitable as HKGs. Based on our analysis, we recommend the use of EEF1A1, RPl4, β2M and RPS15A genes as suitable HKGs for accurate normalization of gene expression data in bubaline mammary gland.
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