Copy Number Variation Discovery in South African Nguni-Sired and Bonsmara-Sired Crossbred Cattle.
Bhaveni B KooverjeePranisha SomaMagrieta A van der NestMichiel M ScholtzFrederick Wilhelm Cornelius NeserPublished in: Animals : an open access journal from MDPI (2023)
Crossbreeding forms part of Climate-Smart beef production and is one of the strategies to mitigate the effects of climate change. Two Nguni-sired and three Bonsmara-sired crossbred animals underwent whole genome sequencing. Following quality control and file preparation, the sequence data were investigated for genome-wide copy number variation (CNV) using the panelcn.MOPS tool. A total of 355 CNVs were identified in the crossbreds, of which 274 were unique in Bonsmara-sired crossbreds and 81 unique in the Nguni-sired crossbreds. Genes that differed in copy number in both crossbreds included genes related to growth (SCRN2, LOC109572916) and fertility-related factors (RPS28, LOC1098562432, LOC109570037). Genes that were present only in the Bonsmara-sired crossbreds included genes relating to lipid metabolism (MAF1), olfaction (LOC109569114), body size (HES7), immunity (LOC10957335, LOC109877039) and disease (DMBT1). Genes that were present only in the Nguni-sired crossbreds included genes relating to ketosis (HMBOX1) and amino acid transport (LOC109572916). Results of this study indicate that Nguni and Bonsmara cattle can be utilized in crossbreeding programs as they may enhance the presence of economically important traits associated with both breeds. This will produce crossbred animals that are good meat producers, grow faster, have high fertility, strong immunity and a better chance of producing in South Africa's harsh climate conditions. Ultimately, this study provides new genetic insights into the adaptability of Nguni and Bonsmara crossbred cattle.
Keyphrases
- genome wide
- copy number
- mitochondrial dna
- dna methylation
- climate change
- south africa
- public health
- quality control
- gene expression
- amino acid
- bioinformatics analysis
- machine learning
- genome wide identification
- human immunodeficiency virus
- high throughput
- high resolution
- electronic health record
- atomic force microscopy
- data analysis
- antiretroviral therapy
- transcription factor
- genome wide analysis
- men who have sex with men
- high speed