Bovine dopamine receptors DRD1, DRD4, and DRD5: genetic polymorphisms and diversities among ten cattle breeds

Am, Sifuentes-Rincón; Ag, Trejo-Tapia; Rd, Randel; Ambriz-Morales, Pascuala; Parra‐Bracamonte, Gaspar Manuel

doi:10.4238/gmr.15017725

Cited by 4 publications

(3 citation statements)

References 15 publications

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“…Some of them were already related to sperm functionality and oocyte quality in bovines (Angulo et al, 2015; Selvaraju et al, 2018) and embryo implantation in mice (Ai et al, 2016). Additional genes previously related to differences in aggressiveness and temperament ( Dopamine receptor D 5, DRD5 , [Sifuentes‐Rincon et al, 2016]), heat stress tolerance ( DNAJ heat shock protein family member C12 , DNAJC12 , [Dai et al, 2018]) and muscle growth ( Leucine Rich Repeat Containing 20 , LRRC20 , [Bazile et al, 2020]) in cattle were found among the ROHi produced very recently. Despite they have not been described as candidate genes in goats, all of them are related to productive traits of interest in the Florida goat, which are characterized as fertile, calm and resilient to thermal increase.…”

Section: Discussionmentioning

confidence: 99%

Analysis of the genomic landscape of inbreeding in two divergent groups of Spanish Florida goats

Ziegler

Molina

Ramón

et al. 2023

J Animal Breeding Genetics

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The analysis of the genomic landscape of inbreeding using runs of homozygosity (ROH) patterns is becoming an interesting tool to partially understand phenotypic differences among individuals. In this study, we analysed genome-wide ROH patterns in two groups of Florida goats. We first determined the inbreeding levels of each individual by calculating ROH-based inbreeding coefficients (F ROH ). Then, the individuals were divided into two groups based on F ROH : high inbreeding (HI, F ROH >0.1) and low inbreeding (LI, F ROH <0.03). Finally, we performed an extensive in-depth analysis of ROH distribution in each group separately. We found a higher abundance of short ROH in LI, whereas long ROH was more frequent in HI. Furthermore, ROH abundance was not evenly distributed among chromosomes within groups, with some chromosomes showing larger numbers of ROH, like CHI6, CHI7 and CHI27. A different landscape was observed in recent inbreeding (ROH >8 Mb), with significant increases in CHI6, CHI11 and CHI28.Determination of genomic regions with significantly increased ROH (ROH islands-ROHi) showed 13 ROHi related to whole inbreeding and five ROHi associated with recent inbreeding analysis. Within these genomic regions, 123 and 101 genes were identified in HI and LI, respectively, including 10 and seven candidate genes previously related to production, fertility and heat resistance in goats and livestock species.

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Section: Discussionmentioning

confidence: 99%

Analysis of the genomic landscape of inbreeding in two divergent groups of Spanish Florida goats

Ziegler

Molina

Ramón

et al. 2023

J Animal Breeding Genetics

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“…Lourenco-Jaramillo et al [185] re-sequenced the DBH gene and identified significant haplotype differences between Brahman and HF cattle, which might be a result of differences in temperament between the two breeds. Similarly, Sifuentes-Rincón et al [186] found differences in genetic polymorphisms in different dopamine receptor genes between Bos taurus and Bos indicus breeds, which might be due to breed differences in aggressiveness and temperament. Dopamine, serotonin, and oxytocin pathways are mainly involved in the genetic mechanisms of mammalian maternal behaviour [187].…”

Section: Genetics and Genomics Of Biomarkers As Indicators For Cattle...mentioning

confidence: 92%

Genomic Selection for Dairy Cattle Behaviour Considering Novel Traits in a Changing Technical Production Environment

Behren,

König,

May

2023

Genes

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Cow behaviour is a major factor influencing dairy herd profitability and is an indicator of animal welfare and disease. Behaviour is a complex network of behavioural patterns in response to environmental and social stimuli and human handling. Advances in agricultural technology have led to changes in dairy cow husbandry systems worldwide. Increasing herd sizes, less time availability to take care of the animals and modern technology such as automatic milking systems (AMSs) imply limited human–cow interactions. On the other hand, cow behaviour responses to the technical environment (cow–AMS interactions) simultaneously improve production efficiency and welfare and contribute to simplified “cow handling” and reduced labour time. Automatic milking systems generate objective behaviour traits linked to workability, milkability and health, which can be implemented into genomic selection tools. However, there is insufficient understanding of the genetic mechanisms influencing cow learning and social behaviour, in turn affecting herd management, productivity and welfare. Moreover, physiological and molecular biomarkers such as heart rate, neurotransmitters and hormones might be useful indicators and predictors of cow behaviour. This review gives an overview of published behaviour studies in dairy cows in the context of genetics and genomics and discusses possibilities for breeding approaches to achieve desired behaviour in a technical production environment.

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“…Temperament in cattle is an important trait observed as a response to handling and human-facing activities [1]. There is a growing list of candidate genes associated with temperament traits [2,3], and their complex genetic architecture still needs to be elucidated. Most genetic variations in candidate genes for temperament are based on Single Nucleotide Polymorphisms (SNPs).…”

Section: Introductionmentioning

confidence: 99%

Genetic Variants and Their Putative Effects on microRNA-Seed Sites: Characterization of the 3′ Untranslated Region of Genes Associated with Temperament

Ruiz-de-la-Cruz

Sifuentes‐Rincón

Casas

et al. 2023

Genes

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The 3′ untranslated region has an important role in gene regulation through microRNAs, and it has been estimated that microRNAs regulate up to 50% of coding genes in mammals. With the aim of allelic variant identification of 3′ untranslated region microRNA seed sites, the 3′ untranslated region was searched for seed sites of four temperament-associated genes (CACNG4, EXOC4, NRXN3, and SLC9A4). The microRNA seed sites were predicted in the four genes, and the CACNG4 gene had the greatest number with 12 predictions. To search for variants affecting the predicted microRNA seed sites, the four 3′ untranslated regions were re-sequenced in a Brahman cattle population. Eleven single nucleotide polymorphisms were identified in the CACNG4, and eleven in the SLC9A4. Rs522648682:T>G of the CACNG4 gene was located at the predicted seed site for bta-miR-191. Rs522648682:T>G evidenced an association with both exit velocity (p = 0.0054) and temperament score (p = 0.0097). The genotype TT had a lower mean exit velocity (2.93 ± 0.4 m/s) compared with the TG and GG genotypes (3.91 ± 0.46 m/s and 3.67 ± 0.46 m/s, respectively). The allele associated with the temperamental phenotype antagonizes the seed site, disrupting the bta-miR-191 recognition. The G allele of CACNG4-rs522648682 has the potential to influence bovine temperament through a mechanism associated with unspecific recognition of bta-miR-191.

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Bovine dopamine receptors DRD1, DRD4, and DRD5: genetic polymorphisms and diversities among ten cattle breeds

Cited by 4 publications

References 15 publications

Analysis of the genomic landscape of inbreeding in two divergent groups of Spanish Florida goats

Analysis of the genomic landscape of inbreeding in two divergent groups of Spanish Florida goats

Genomic Selection for Dairy Cattle Behaviour Considering Novel Traits in a Changing Technical Production Environment

Genetic Variants and Their Putative Effects on microRNA-Seed Sites: Characterization of the 3′ Untranslated Region of Genes Associated with Temperament

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