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A Complete Pipeline for Isolating and Sequencing MicroRNAs, and Analyzing Them Using Open Source Tools
Published on: August 21, 2019
Catalog of genetic variants within mature microRNA seed regions in chicken
Minja Zorc1, Sandra Omejec1, Dusan Tercic1
1Department of Animal Science, Biotechnical Faculty, University of Ljubljana, Groblje 3, SI-1230 Domzale, Slovenia.
Abstract:
MicroRNA (miRNA) is a class of noncoding RNA important in posttranscriptional regulation of target genes. The regulation mechanism requires complementarity between target mRNA and the miRNA region responsible for their recognition and binding, also called the seed region. It has been estimated that each miRNA targets approximately 200 genes and genetic variability of miRNA genes has been associated with phenotypic variation and disease susceptibility in humans, livestock species, and model organisms. Polymorphisms in miRNA genes especially within the seed region could therefore represent biomarkers for phenotypic traits important in livestock animals. Using the updated Version 5.0 of our previously developed bioinformatics tool miRNA SNiPer we assembled polymorphic miRNA genes in chicken. Out of 740 miRNA genes 263 were polymorphic, among them 77 had SNPs located within the mature region, and 29 of them within the miRNA seed region. Because several polymorphisms in databases result from sequencing errors, we performed experimental validation of polymorphisms located within 4 selected miRNA genes in chicken (gga-mir-1614, -1644, -1648, and -1657). We confirmed the presence of nine polymorphisms and identified 3 additional novel polymorphisms within primary miRNA regions in chicken representing 3 layer-type breeds, one layer-type hybrid, and one meat-type intercrossed population. The developed catalog of mir-SNPs in chicken can serve researchers as a starting point for association studies dealing with poultry production traits and designing functional experiments.
Insights
Researchers identified microRNA (miRNA) seed region polymorphisms in chickens, which can serve as biomarkers for poultry production traits and aid in functional studies.
Area of Science:
- Genomics
- Molecular Biology
- Bioinformatics
Background:
- MicroRNAs (miRNAs) are crucial noncoding RNAs regulating gene expression post-transcriptionally.
- Genetic variations in miRNA genes, particularly in the seed region, are linked to phenotypic traits and disease susceptibility.
- Polymorphisms in chicken miRNA genes may act as valuable biomarkers for economically important traits in poultry.
Purpose of the Study:
- To identify and catalog polymorphic microRNA genes in chickens, with a focus on variations within the seed region.
- To experimentally validate identified polymorphisms to ensure accuracy and discover novel variations.
- To provide a resource for association studies linking miRNA polymorphisms to poultry production traits.
Main Methods:
- Utilized an updated bioinformatics tool, miRNA SNiPer (Version 5.0), to identify polymorphic miRNA genes in chicken.
- Assembled polymorphic miRNA genes from a dataset of 740 miRNA genes.
- Performed experimental validation for polymorphisms in four selected chicken miRNA genes (gga-mir-1614, -1644, -1648, and -1657).
Main Results:
- Identified 263 polymorphic miRNA genes out of 740 analyzed.
- Found 77 single nucleotide polymorphisms (SNPs) within the mature miRNA region and 29 within the critical miRNA seed region.
- Experimentally confirmed nine known polymorphisms and discovered three novel polymorphisms in primary miRNA regions across different chicken populations.
Conclusions:
- A comprehensive catalog of microRNA single nucleotide polymorphisms (mir-SNPs) in chickens has been established.
- This catalog serves as a foundational resource for future association studies on poultry production traits.
- The findings facilitate the design of functional experiments to understand the impact of miRNA polymorphisms on economically important traits in chickens.
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