Literature DB >> 33882076

Single nucleotide polymorphisms affect miRNA target prediction in bovine.

Marco Antônio Perpétuo de Sousa1, Flavia Regina Florêncio de Athayde1, Mariângela Bueno Cordeiro Maldonado1, Andressa Oliveira de Lima1, Marina Rufino S Fortes2, Flavia Lombardi Lopes1.   

Abstract

Single nucleotide polymorphisms (SNPs) can have significant effects on phenotypic characteristics in cattle. MicroRNAs (miRNAs) are small, non-coding RNAs that act as post-transcriptional regulators by binding them to target mRNAs. In the present study, we scanned ~56 million SNPs against 1,064 bovine miRNA sequences and analyzed, in silico, their possible effects on target binding prediction, primary miRNA formation, association with QTL regions and the evolutionary conservation for each SNP locus. Following target prediction, we show that 71.6% of miRNA predicted targets were altered as a consequence of SNPs located within the seed region of the mature miRNAs. Next, we identified variations in the Minimum Free Energy (MFE), which represents the capacity to alter molecule stability and, consequently, miRNA maturation. A total of 48.6% of the sequences analyzed showed values within those previously reported as sufficient to alter miRNA maturation. We have also found 131 SNPs in 46 miRNAs, with altered target prediction, occurring in QTL regions. Lastly, analysis of evolutionary conservation scores for each SNP locus suggested that they have a conserved biological function through the evolutionary process. Our results suggest that SNPs in microRNAs have the potential to affect bovine phenotypes and could be of great value for genetic improvement studies, as well as production.

Entities:  

Year:  2021        PMID: 33882076     DOI: 10.1371/journal.pone.0249406

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  2 in total

1.  First DNA Sequencing in Beninese Indigenous Cattle Breeds Captures New Milk Protein Variants.

Authors:  Sèyi Fridaïus Ulrich Vanvanhossou; Isabella Jasmin Giambra; Tong Yin; Kerstin Brügemann; Luc Hippolyte Dossa; Sven König
Journal:  Genes (Basel)       Date:  2021-10-26       Impact factor: 4.096

2.  Whole-Genome-Based Web Genomic Resource for Water Buffalo (Bubalus bubalis).

Authors:  Aamir Khan; Kalpana Singh; Sarika Jaiswal; Mustafa Raza; Rahul Singh Jasrotia; Animesh Kumar; Anoop Kishor Singh Gurjar; Juli Kumari; Varij Nayan; Mir Asif Iquebal; U B Angadi; Anil Rai; Tirtha Kumar Datta; Dinesh Kumar
Journal:  Front Genet       Date:  2022-04-11       Impact factor: 4.772

  2 in total

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