2019
DOI: 10.3390/ani9100836
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Two Novel SNPs in RET Gene Are Associated with Cattle Body Measurement Traits

Abstract: Simple SummaryThe aim of this study was to identify crucial genes and markers potentially associated with cattle economic traits which would provide a basis for molecular marker-assisted breeding and assist in the genetic selection of cattle. The RET gene plays an important role in the development of the gastrointestinal nervous system, which may influence animal body measurement by nutrient absorption. However, there have been no reports on the effects of the RET gene on the body measurement traits of cattle.… Show more

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Cited by 8 publications
(7 citation statements)
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References 29 publications
(33 reference statements)
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“…Early growth traits of animals, being regulated by multi-genes, as well as their interactions, play a vital role in influencing profitability in any meat-producing enterprise [2,3]. Thus, to establish optimal breeding programs, plenty of candidate genes, as well as their genetic variations should be appropriately used [4][5][6][7]. Maker-assisted selection (MAS) can satisfy the need to screen crucial genes and consider the relation between their polymorphisms and growth-related traits [8][9][10][11].…”
Section: Introductionmentioning
confidence: 99%
“…Early growth traits of animals, being regulated by multi-genes, as well as their interactions, play a vital role in influencing profitability in any meat-producing enterprise [2,3]. Thus, to establish optimal breeding programs, plenty of candidate genes, as well as their genetic variations should be appropriately used [4][5][6][7]. Maker-assisted selection (MAS) can satisfy the need to screen crucial genes and consider the relation between their polymorphisms and growth-related traits [8][9][10][11].…”
Section: Introductionmentioning
confidence: 99%
“…was used to calculate genetic parameters, including polymorphic information content ( PIC ), homozygosity ( Ho ), heterozygosity ( He ) and effective allele numbers ( Ne ) [ 20 ]. Associations between SNP locus genotypes and phenotypes (body height, body length, chest circumference and hide weight) in Dezhou donkeys were analyzed using a general linear model in SPSS 26.0 (Statistical Product and Service Solutions, Version 26.0 Edition, IBM, Armonk, NY, USA) [ 21 ]. The analytical model is as follows: where Y is the individual phenotypic measure, μ denotes the mean value of body size trait and hide weight, a indicates the fixed factor genotype and e stands for random error.…”
Section: Methodsmentioning
confidence: 99%
“…The DNA sample quality was tested by Nanodrop 1000 (Thermo Scientific, Waltham, MA, USA). All DNA samples were diluted to 50 ng/μL and stored at −20 °C [ 27 ]. DNA mixture was prepared by randomly selecting 20 individuals of each breed to mix DNA equally.…”
Section: Methodsmentioning
confidence: 99%
“…Relationship between variations of GHR, GHRH, and GHRHR and their growth traits. a ± 1 27. (n = 25) 71.50 b ± 2.07 (n = 7) 84.50 a ± 3.50 (n = 2b ± 0.45 (n = 90) 64.26 a ± 0.46 (n = 80) 62.37 a,b ± 0.85 (n = 20) 0.023 STHS Chest depth (cm) 27.17 b ± 0.29 (n = 90) 27.89 a,b ± 0.27 (n = 80) 28.66 a ± 0.61 (n = 20) 0.036 TS Hip width (cm) 13.88 b ± 0.27 (n = 48) 15.10 a,b ± 0.30 (n = 27) 16.50 a ± 0.50 (n = 2) 0.005 GHR-44 HS Body weight (kg) 32.73 a ± 0.36 (n = 141) 31.03 b ± 0.83 (n = 38) 27.18 b ± 1.94 (n = 4) 0.009 STHS Body height (cm) 62.82 b ± 0.36 (n = 129) 64.00 a,b ± 0.62 (n = 54) 66.14 a ± 1.30 (n = 7) 0.044 TS Head depth (cm) 14.53 b ± 1.32 (n = 26) 14.94 a ± 0.11 (n = 42) 14.20 b ± 0.32 (n = 10) 0.007 GHR-53 HS Cannon girth (cm) 6.96 b ± 0.09 (n = 49) 7.12 a,b ± 0.05 (n = 97) 7.25 a ± 0.10 (n = 38) 0.049 STHS Chest circumference (cm) 72.20 a,b ± 0.78 (n = 52) 71.00 b ± 0.61 (n = 83) 73.60 a ± 0.91 (n = 55) 0.043 TS Forehead width (cm) 12.00 b ± 0.27 (n = 5) 12.86 a ± 0.11 (n = 47) 12.90 a ± 0.15 (n = 25) 0.049 GHRHR-2 LFHS Body weight (kg) 47.27 b ± 2.96 (n = 23) 58.95 a,b ± 4.88 (n = 8) 62.87 a ± 3.68 (n = 3) 0.050 Notes: STHS: Small tail han sheep; TS: Tong sheep; LFTS: Lanzhou fat-tail sheep: HS: Hu sheep; LSM: least squares technique; SE: standard error; STHS: Small tail han sheep; TS: Tong sheep; LFTS: Lanzhou fat-tail sheep: HS: Hu sheep; II: insertion/insertion; ID: insertion/deletion; DD: deletion/deletion.…”
mentioning
confidence: 99%