Investigation of TG gene variants and their effects on growth, carcass composition, and meat quality traits in Chinese steers

Zhang, L P; Gan, Qianfu; Hou, Guanyu; Gao, Huijiang; Li, J Y; Xu, Shaohang

doi:10.4238/2015.may.22.2

Cited by 10 publications

(7 citation statements)

References 22 publications

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“…This gene has been extensively studied in cattle and is known to be associated with the live weight and fat content of muscles (Zhang et al . ), marbling score (Casas et al . ), fat thickness and longissimus muscle area (Casas et al .…”

Section: Major Candidate Genes Associated With Pork Production Meat mentioning

confidence: 99%

Detecting selection signatures between Duroc and Duroc synthetic pig populations using high‐density SNP chip

et al. 2017

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The development of high throughput genotyping techniques has facilitated the identification of selection signatures of pigs. The detection of genomic selection signals in a population subjected to differential selection pressures may provide insights into the genes associated with economically and biologically important traits. To identify genomic regions under selection, we genotyped 488 Duroc (D) pigs and 155 D × Korean native pigs (DKNPs) using the Porcine SNP70K BeadChip. By applying the F and extended haplotype homozygosity (EHH-Rsb) methods, we detected genes under directional selection associated with growth/stature (DOCK7, PLCB4, HS2ST1, FBP2 and TG), carcass and meat quality (TG, COL14A1, FBXO5, NR3C1, SNX7, ARHGAP26 and DPYD), number of teats (LOC100153159 and LRRC1), pigmentation (MME) and ear morphology (SOX5), which are all mostly near or at fixation. These results could be a basis for investigating the underlying mutations associated with observed phenotypic variation. Validation using genome-wide association analysis would also facilitate the inclusion of some of these markers in genetic evaluation programs.

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Section: Major Candidate Genes Associated With Pork Production Meat mentioning

confidence: 99%

Detecting selection signatures between Duroc and Duroc synthetic pig populations using high‐density SNP chip

et al. 2017

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“…It is known that the level of milk productivity is a polygenic trait controlled by various genetic loci (Dybus et al, 2004;Singh et al, 2014), some of which are already known (Singh et al, 2014;Khatami et al, 2005), and some are only classified as candidate genes (Viale et al, 2017). Based on literature data, the following economically valuable traits gene loci were selected for our work: kappa-casein (CSN3) (Chasovshchikova et al, 2017), beta-lactoglobulin (LGB) (Di Gregorio et al, 2017), prolactin (PRL) (Chasovshchikova et al, 2017), somatotropin (GH) (Akyuz et al, 2015;Metin Kiyici et al, 2019), thyroglobulin (TG5) (Zhang et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Influence of Csn3, Lgb, Prl, Gh, Tg5 Genes Alleles on Dairy Productivity and Energy Value of Cow's Milk

2019

CRPJFST

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The aim of our research was to study the dependence of Kholmogorsk breed dairy cows' productivity on polymorphism of kappa-casein (CSN3), betalactoglobulin (LGB), prolactin (PRL), somatotropin (GH), thyroglobulin (TG5) genes. It was found that B allele (BB genotype) of PRL gene caused maximum increase in milk production (19.7%). Maximum increase in milk productivity (15.0%, P <0.001), was found at L allele (LL genotype) of GH gene. Significant increases in the presence of A and B alleles with AA (14.3%) and BB (12.7%) genotypes of CSN3 and LGB genes were detected. The maximum increase in fat mass fraction (0.22%) in milk was found at ABL homozygous genotype of PRL gene, while significant increase of fat content was detected at C allele (CC genotype) of TG5 gene (0.15%, P <0.05). The maximum increase of protein mass fraction at B allele (BB genotype) of PRL gene (0.11%) was detected. The maximum increase in milk protein was found at B and L alleles (BB and LL genotypes) of LGB and GH genes (0.06% with P <0.01 and P <0.001, respectively). Analysis of milk energy value showed that A and B alleles and AA (2.80 MJ / kg) and BB (2.80 MJ / kg) genotypes of CSN3 gene and BB genotype of LGB (2, 82 MJ / kg) and PRL genes (2.93 MJ / kg), as well as the T allele and TT genotype for the TG5 gene (3.17 MJ / kg) are associated with this indicator.

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“…The DGAT1 gene genetic variants was primarily associated with milk production (Thaller et al, 2003), but several later studies reported the association between SNPs in DGAT1 gene and marbling and fat thickness (Wu et al, 2012;Tait et al, 2014). Like the DGAT1 gene, the genes encoding thyroglobulin and stearoyl-CoA desaturase are considered to be a perspective genetic marker for intramuscular fat levels as well as marbling scores in beef (Wu et al, 2012;Zhang et al, 2015;Bennett et al, 2013). …”

Section: Resultsmentioning

confidence: 99%

“…It was shown that both flavour and tenderness scores markedly increased with increasing IMF content (Thomson, 2004). Previous studies have indicated that single nucleotide polymorphisms in the diacylglycerol-Oacyltransferase1 (DGAT1), thyroglobulin (TG) and Stearoyl-CoA desaturase (SCD) genes are significantly associated with intramuscular fat levels as well as marbling scores in beef (Pannier et al, 2010;Wu et al, 2012;Zhang et al, 2015). The objective of our study was to genotype the single nucleotide polymorphisms in six genes previously reported as candidate for beef quality in order to determine the genetic structure of Pinzgau bulls population.…”

Section: Introductionmentioning

confidence: 99%

Polymorphisms in Candidate Genes for Beef Quality in Pinzgau Cattle

Trakovická¹,

Moravčíková²,

Nádaský³

et al. 2018

AGR

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The aim of present study was to identify the polymorphisms in genes encoding calpastatin (CASTUoG), calpain (CAPN1, CAPN2), diacylglycerol Oacyltransferase (DGAT1), thyroglobulin (TG5), and Stearoyl-CoA Desaturase (SCD) in order to analyse genetic structure of Pinzgau cattle. The genomic DNA for genotyping was obtained from in total 56 blood samples of Pinzgau bulls. After extraction, the concentration of DNA was controlled by the spectrophotometry measurement. The genotyping of each individual was carried out by using PCR-RFLP methods. The average value of observed (0.37±0.05) and expected heterozygosity (0.39±0.06) clearly indicated the prevalence of homozygous individuals. Observed Wright's fixation indexes showed positive values across all loci (0.03±0.06), which confirmed slight deficiency of heterozygote animals compared to the Hardy-Weinberg equilibrium expectations. The Hardy-Weinberg equilibrium was found in population, which signalizes only slight impact of factors such as selection, migration or inbreeding. The effectiveness of loci allele impact in populations has been described also by effective allele numbers (1.68±0.13) that expressed the decrease of allele activity in population. The loss of heterozygosity in analysed population was found across all of genetic markers. Each of the evaluated indicators clearly points to the need of genetic diversity monitoring. Moreover, the analyses of single nucleotide polymorphisms in genes significantly involved in control of economically important production traits are still very usable methods for identification of genetic markers that can be used in marker assisted selection of cattle.

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Investigation of TG gene variants and their effects on growth, carcass composition, and meat quality traits in Chinese steers

Cited by 10 publications

References 22 publications

Detecting selection signatures between Duroc and Duroc synthetic pig populations using high‐density SNP chip

Detecting selection signatures between Duroc and Duroc synthetic pig populations using high‐density SNP chip

Influence of Csn3, Lgb, Prl, Gh, Tg5 Genes Alleles on Dairy Productivity and Energy Value of Cow's Milk

Polymorphisms in Candidate Genes for Beef Quality in Pinzgau Cattle

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