RESUMO
Understanding the genetic architecture is important because it allows us to understand the relationship between molecular markers, like miRNAs, QTLs and SNPs, and traits of interest such as milk yield, lipidic content in milk, heat tolerance etc. In the present study we performed an exploratory analysis that found an association of 480 miRNAs within QTLs related to 155 traits. We also discovered that those 480 miRNAs might modulate the expression of 12.374 genes. The most predominant traits available in the data were milk related, such as milk yield and fatty acids content in milk. Besides, the functional enrichment analysis revealed that some of those genes were linked to sensory perception, olfactory perception, perception of stimulus and chemical stimulus, localization, establishment of localization, transport etc. Furthermore, the discovery of miRNAs within QTLs and their target analysis suggests that they might be associated with characteristics of interest. By analyzing these relationships, we strongly encourage that future QTL studies should include miRNAs analysis. Altogether, our analysis enabled us to explore the association between multiple complex traits, miRNAs within QTLs and their target genes in Bos taurus that might have implications in breeding programs.
RESUMO
Reference genes (RGs) must have a stable expression in tissues in all experimental conditions to normalize real-time quantitative reverse transcription PCR (qRT-PCR) data. F0104 is a highly studied lineage of zebrafish developed to overexpress the growth hormone (GH). It is assumed that the transgenic process may influence the expression levels of commonly used RGs. The objective of the present study was to make a comprehensive analysis of stability of canditade RGs actb1, actb2, b2m, eif2s2, eef1a1, gapdh, rplp2, rpl7, rpl13α, tuba1, and rps18, in gh-transgenic and non-transgenic zebrafish. Liver, brain, intestine and muscle samples from both groups had qRT-PCR results analyzed by dCt, geNorm, NormFinder, BestKeeper, and RefFinder softwares. Consensus analyses among software concluded that rpl13α, rpl7, and eef1a1 are the most stable genes for zebrafish, considering the studied groups and tissues. Gapdh, rps18, and tuba1 suffered variations in stability among different tissues of both groups, and so, they were listed as the genes with lowest stability. Results from an average pairwise variations test indicated that the use of two RGs would generate reliable results for gene expression analysis in the studied tissues. We conclude that genes that are commonly used in mammals for qRT-PCR assays have low stability in both non-transgenic and gh-transgenic zebrafish reinforcing the importance of using species-specific RGs.
