ArticleJournal of applied genetics2013
MicroRNAs-1614-3p gene seed region polymorphisms and association analysis with chicken production traits.
Article in Journal of applied genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Identification and association of novel lncRNA pouMU1 gene mutations with chicken performance traits.Journal of genetics · 2017Article
- Chicken gga-miR-103-3p Targets CCNE1 and TFDP2 and Inhibits MDCC-MSB1 Cell Migration.G3 (Bethesda, Md.) · 2016Article
- In silico screening of the chicken genome for overlaps between genomic regions: microRNA genes, coding and non-coding transcriptional units, QTL, and genetic variations.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2016Article
- Catalog of genetic variants within mature microRNA seed regions in chicken.Poultry science · 2015Article
- Expression profiling of preadipocyte microRNAs by deep sequencing on chicken lines divergently selected for abdominal fatness.PloS one · 2015Article
- Association study of a common genetic variant in pre-miR-1596 with chicken performance traits.Molecular biology reports · 2014Article
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Authors and funding
6 authors.
Funding
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Abstract
In the present study, a total of 860 chickens from a Gushi-Anka F2 resource population were used to evaluate the genetic effect of the gga-miR-1614-3p gene. A novel, silent, single nucleotide polymorphism (SNP, +5 C>T) was detected in the gga-miR-1614-3p gene seed region through AvaII polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) and PCR products sequencing methods. Associations between the SNP and chicken growth, meat quality and carcass traits were performed by association analysis. The results showed that the SNP was significantly associated with breast muscle shear force and leg muscle water loss rate, wing weight, liver weight and heart weight (p<0.05), and highly significantly associated with the weight of the abdominal fat (p<0.01). The secondary structure of gga-miR-1614 and the free energy were altered due to the variation predicted by the M-fold program.
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