Targeted high‐throughput <i>growth hormone 1</i> gene sequencing reveals high within‐breed genetic diversity in South African goats

Ncube, Keabetswe Tebogo; Mdladla, Khanyisile; Dzomba, E. F.; Muchadeyi, Farai C.

doi:10.1111/age.12424

Cited by 4 publications

(6 citation statements)

References 14 publications

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“…At least two studies have shown that the Tankwa goat is closely related to other indigenous goat breeds (e.g. Boer and South African village goats) and has similar genetic diversity (Kotze et al, 2014;Ncube et al, 2016). Kotze et al (2014) compared the Tankwa goat with commercial breeds such as Boer, Angora, and Saanen goats, and concluded that the Tankwa goat is a unique genetic resource that needs to be managed optimally.…”

Section: Introductionmentioning

confidence: 99%

Quantitative sperm characteristics of Tankwa goats with special reference to hyperactivated motility

Ngcauzele¹,

Horst²,

Kotzé³

et al. 2021

SA J. An. Sci.

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Computer-assisted semen analysis (CASA) is an automated and objective method of evaluating structural (e.g. morphology) and functional sperm parameters (e.g. motility and hyperactivation). Sperm hyperactivation is essential for successful fertilization and is thus an important aspect in determining the fertility potential of a male. In the current study, CASA was used for standard semen analysis and for comparison of the ability of phosphate buffered saline (PBS), BO sperm wash (10 mM caffeine), 4% lignocaine, and 5 mM procaine hydrochloride to induce hyperactivation in Tankwa goat spermatozoa. Twenty-nine ejaculates were collected from randomly selected male goats by electroejaculation. Although none of the four media affected percentage total sperm motility, lignocaine caused a significant decrease (P >0.05) in percentage progressive motility. Exposure to procaine resulted in an increase in swimming speed (P ≤0.05) and star-spin motility tracks, which are typical of sperm hyperactivation. Using PBS and procaine motility data from individually selected spermatozoa, receiver operator characteristic curves were constructed to distinguish the kinematic parameters employed as cut-off values for sperm hyperactivation. PBS and BO sperm wash did not induce hyperactivation (0.1 + 0.2% and 0.04  0.2% respectively), while lignocaine induced little hyperactivation (3.4 + 3.0%) and procaine hydrochloride had the highest percentage hyperactivation (25.3 + 13.6%). The large variation in hyperactivation (0–54.5%) may reflect inter-individual differences in sperm quality among these males. This study indicated procaine hydrochloride was the most promising hyperactivation-inducing medium for Tankwa goat spermatozoa and should be considered for similar assessments in other animal species Keywords: computer-aided sperm analysis, procaine hydrochloride, sperm kinematics, sperm morphometry, sperm motility

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Section: Introductionmentioning

confidence: 99%

Quantitative sperm characteristics of Tankwa goats with special reference to hyperactivated motility

Ngcauzele¹,

Horst²,

Kotzé³

et al. 2021

SA J. An. Sci.

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“…Morrison [9] described the Northern Cape Speckled, Mbuzi/Nguni, and the Eastern Cape Xhosa Lob ear as the indigenous veld goat populations that are kept by the Indigenous Veld Goats (IVG) association farmers in organized farming and breeding societies that are usually under semi-intensive production systems. Additionally, there are uncharacterized village ecotypes that are raised by communal farmers that have not been developed for any traits and that have multipurpose functions, i.e., for their meat, milk, and skin [7,10]. The carcass quality characteristics of Indigenous Veld Goats (IVG) and village goats have not been reported.…”

Section: Introductionmentioning

confidence: 99%

“…The primary role of goats in African countries is meat (chevon), which serves as a source of easily accessible protein for poor communities [10]. Although chevon has excellent meat quality characteristics and health benefits, it is the least preferred among consumers, which is mainly due to unfavourable perceptions that are related to toughness and strong odour [12].…”

Section: Introductionmentioning

confidence: 99%

“…Several goat genomic tools can be used to unravel the genetic potential of breeds and populations. High-throughput targeted gene sequencing of the growth hormone 1 gene has shown the locus to be polymorphic and capable of differentiating goat populations from different breeds and production systems [10]. The Illumina goat SNP50K is a mediumdensity SNP chip consisting of markers that are evenly spaced across the goat genome and is a useful tool for population genetics and association studies [7,14,15].…”

Section: Introductionmentioning

confidence: 99%

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Carcass Quality Profiles and Associated Genomic Regions of South African Goat Populations Investigated Using Goat SNP50K Genotypes

Ncube

Dzomba

Hadebe

et al. 2022

Animals

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Carcass quality includes a battery of essential economic meat traits that play a significant role in influencing farmer breed preferences. A preliminary study was undertaken to investigate the carcass quality and the associated genomic regions in a small nucleus of animals that are representative of South African goat genetic resources. Samples of the South African Boer (n = 14), Northern Cape Speckled (n = 14), Eastern Cape Xhosa Lob ear (n = 12), Nguni/Mbuzi (n = 13), and Village (n = 20) were genotyped using the Illumina goat SNP50K and were phenotyped for carcass quality traits. SA Boer goats had heavier warm and cold carcass weights (17.2 ± 2.3 kg and 16.3 ± 2.3 kg). Pella village goats raised under an intensive system had significantly (p < 0.05) heavier warm and cold carcass weights (9.9 ± 1.1 kg and 9.2 ± 1.2 kg) compared to the village goats that are raised extensively (9.1 ± 2.0 kg and 8.4 ± 1.9). A total of 40 SNPs located on chromosomes 6, 10, 12, 13, 19, and 21 were significantly associated with carcass traits at (−log10 [p < 0.05]). Candidate genes that were associated with carcass characteristics (GADD45G, IGF2R, GAS1, VAV3, CAPN8, CAPN7, CAPN2, GHSR, COLQ, MRAS, and POU1F1) were also observed. Results from this study will inform larger future studies that will ultimately find use in breed improvement programs.

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“…This study used RNA-Seq data to investigate differential gene expression in the pituitary of South African Boer and Village goats that were raised under different production systems. The study hypothesised based on the growth rates, meat yield and meat quality analysis from previous studies ( Ncube et al, 2016 ; Ncube et al, 2022 ) that the South African Boer goats raised intensively will be associated with upregulation of genes that promote higher growth rate and meat yield while downregulation of growth promoting genes would be expected in the village goats raised extensively.…”

Section: Introductionmentioning

confidence: 99%

Differential gene expression and identification of growth-related genes in the pituitary gland of South African goats

Ncube

Dzomba²,

Rosen³

et al. 2022

Front. Genet.

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Growth and carcass quality are economically important traits in goat production. This study investigated differentially expressed genes from the caprine pituitary gland transcriptome of South African indigenous goat breeds of varying growth performances and carcass quality parameters. Tissues were harvested from the pituitary gland of three South African Boer goats and three village ecotype goats all raised under similar conditions simulating intensive commercial production systems. Three additional tissues were harvested from village ecotype goats that were raised extensively on village farms. Between breed differences were investigated by comparing differential gene expression among three South African Boer and three village goats that were both raised under intensive commercial production system at a research farm. Within-breed differences were investigated by comparing differential gene expression among three village goats raised under extensive conditions (on-farm in Pella, S.A. village farming community) and three village goats raised under intensive commercial production system (at ARC research farm in Pretoria, South Africa. Total RNA was isolated from the pituitary gland of 36-week-old animals (n = 9) and sequenced individually in triplicates. An average of 28,298,512 trimmed, and quality-controlled reads/animal were mapped to the goat genome (Capra_hircus.ARS1.94) using HiSat2 software. Transcript assembly and quantification yielded 104 differentially expressed genes for village goats raised under extensive system and 62 for village goats raised under the intensive production system at the false discovery rate (FRD) of ≤0.05 and a fold change of ≥2. Growth-related genes such as POU3F4 and TSHZ1 were highly expressed within breeds raised under both production systems. Conversely, growth-related genes such as FGFR2 and SMPX genes were highly expressed between breeds raised under similar production systems. Ballgown analysis revealed a high expression of GH1 and IGF1 in the intensively raised compared to extensively raised goats. Both genes were also highly expressed in the village goats when compared to the Boer. The differential gene expression data provided insights into genes and molecular mechanisms associated with growth and growth development in goats.

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Targeted high‐throughput growth hormone 1 gene sequencing reveals high within‐breed genetic diversity in South African goats

Cited by 4 publications

References 14 publications

Quantitative sperm characteristics of Tankwa goats with special reference to hyperactivated motility

Quantitative sperm characteristics of Tankwa goats with special reference to hyperactivated motility

Carcass Quality Profiles and Associated Genomic Regions of South African Goat Populations Investigated Using Goat SNP50K Genotypes

Differential gene expression and identification of growth-related genes in the pituitary gland of South African goats

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