Effect of pre-miRNA-1658 gene polymorphism on chicken growth and carcass traits

Jian-zhou, Shi; Sun, Guirong

doi:10.5713/ajas.16.0305

Cited by 9 publications

(6 citation statements)

References 36 publications

(41 reference statements)

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“…Therefore, it could be inferred that the regulation of miR-1468 on GH secretion was mainly achieved by targeting CREB1. The present study further revealed that the main role of miRNA was to negatively regulate the expression of target genes, which was consistent with the previous study (Houbaviy, 2005;Shi and Sun, 2016;Valencia et al, 2014).…”

Section: Discussionsupporting

confidence: 93%

The Effect of miR-1468 on Growth Hormone in Pituitary Cells of Yanbian Yellow Cattle

Jin¹,

Lou²,

Ji³

et al. 2021

PJZ

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Section: Discussionsupporting

confidence: 93%

The Effect of miR-1468 on Growth Hormone in Pituitary Cells of Yanbian Yellow Cattle

Jin¹,

Lou²,

Ji³

et al. 2021

PJZ

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“…A G-to-A SNP substitution in the myostatin 3’UTR changes the miRNA target site and affects muscularity in sheep [ 124 ]. A C/G polymorphism in the precursor region of microRNA affects body weight, pelvis breadth, and chest depth in chickens [ 125 , 126 ].…”

Section: Discussionmentioning

confidence: 99%

Weighted Single-Step GWAS Identifies Genes Influencing Fillet Color in Rainbow Trout

Ahmed

Ali

Al-Tobasei

et al. 2022

Genes

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The visual appearance of the fish fillet is a significant determinant of consumers’ purchase decisions. Depending on the rainbow trout diet, a uniform bright white or reddish/pink fillet color is desirable. Factors affecting fillet color are complex, ranging from the ability of live fish to accumulate carotenoids in the muscle to preharvest environmental conditions, early postmortem muscle metabolism, and storage conditions. Identifying genetic markers of fillet color is a desirable goal but a challenging task for the aquaculture industry. This study used weighted, single-step GWAS to explore the genetic basis of fillet color variation in rainbow trout. We identified several SNP windows explaining up to 3.5%, 2.5%, and 1.6% of the additive genetic variance for fillet redness, yellowness, and whiteness, respectively. SNPs are located within genes implicated in carotenoid metabolism (β,β-carotene 15,15′-dioxygenase, retinol dehydrogenase) and myoglobin homeostasis (ATP synthase subunit β, mitochondrial (ATP5F1B)). These genes are involved in processes that influence muscle pigmentation and postmortem flesh coloration. Other identified genes are involved in the maintenance of muscle structural integrity (kelch protein 41b (klh41b), collagen α-1(XXVIII) chain (COL28A1), and cathepsin K (CTSK)) and protection against lipid oxidation (peroxiredoxin, superoxide dismutase 2 (SOD2), sestrin-1, Ubiquitin carboxyl-terminal hydrolase-10 (USP10)). A-to-G single-nucleotide polymorphism in β,β-carotene 15,15′-dioxygenase, and USP10 result in isoleucine-to-valine and proline-to-leucine non-synonymous amino acid substitutions, respectively. Our observation confirms that fillet color is a complex trait regulated by many genes involved in carotenoid metabolism, myoglobin homeostasis, protection against lipid oxidation, and maintenance of muscle structural integrity. The significant SNPs identified in this study could be prioritized via genomic selection in breeding programs to improve fillet color in rainbow trout.

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“…In recent years, miR-SNPs and SNPs in target sites have been widely studied for their association with different diseases and phenotypes in humans [ 52 ]. In livestock species, SNPs in miRNA may alter miRNA processing, leading to functional alterations associated with production traits [ 15 , 19 , 53 ]. Thus, identifying functional miR-SNPs is of interest for complex trait studies.…”

Section: Discussionmentioning

confidence: 99%

Multi-Omics Approach Reveals miR-SNPs Affecting Muscle Fatty Acids Profile in Nelore Cattle

Cardoso

Coutinho

Bruscadin

et al. 2021

Genes

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MicroRNAs (miRNAs) are key regulators of gene expression, potentially affecting several biological processes, whose function can be altered by sequence variation. Hence, the integration of single nucleotide polymorphisms (SNP) and miRNAs can explain individual differences in economic traits. To provide new insights into the effects of SNPs on miRNAs and their related target genes, we carried out a multi-omic analysis to identify SNPs in miRNA mature sequences (miR-SNPs) associated with fatty acid (FA) composition in the Nelore cattle. As a result, we identified 3 miR-SNPs in different miRNAs (bta-miR-2419-3p, bta-miR-193a-2, and bta-miR-1291) significantly associated with FA traits (p-value < 0.02, Bonferroni corrected). Among these, the rs110817643C>T, located in the seed sequence of the bta-miR-1291, was associated with different ω6 FAs, polyunsaturated FA, and polyunsaturated:saturated FA ratios. Concerning the other two miR-SNPs, the rs43400521T>C (located in the bta-miR-2419-3p) was associated with C12:0 and C18:1 cis-11 FA, whereas the rs516857374A>G (located in the bta-miR-193a-2) was associated with C18:3 ω6 and ratio of ω6/ω3 traits. Additionally, to identify potential biomarkers for FA composition, we described target genes affected by these miR-SNPs at the mRNA or protein level. Our multi-omics analysis outlines the effects of genetic polymorphism on miRNA, and it highlights miR-SNPs and target candidate genes that control beef fatty acid composition.

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Effect of pre-miRNA-1658 gene polymorphism on chicken growth and carcass traits

Cited by 9 publications

References 36 publications

The Effect of miR-1468 on Growth Hormone in Pituitary Cells of Yanbian Yellow Cattle

The Effect of miR-1468 on Growth Hormone in Pituitary Cells of Yanbian Yellow Cattle

Weighted Single-Step GWAS Identifies Genes Influencing Fillet Color in Rainbow Trout

Multi-Omics Approach Reveals miR-SNPs Affecting Muscle Fatty Acids Profile in Nelore Cattle

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