Genetic variability and relationships in nine South African cattle breeds using microsatellite markers

Westhuizen, L. van der; MacNeil, M. D.; Scholtz, M. M.; Neser, F.W.C.; Makgahlela, Mahlako Linah; Wyk, J.B. van

doi:10.1007/s11250-019-02003-z

Cited by 10 publications

(5 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It was previously suggested that the low genetic diversity in the Brahman breed may be partly ascribed to the use of elite sires (Makina et al, 2014 ). Such practices are consistent with the observed F value (0.0003), which are suggestive of some inbreeding in the Brahman populations examined (van der Westhuizen et al, 2019 ). Genetic diversity within the Simmental population was slightly higher than in the Brahman breed.…”

Section: Discussionsupporting

confidence: 87%

“…It was also previously suggested that the low genetic diversity observed in the Brahman breed may be partly ascribed to the use of elite sires (Makina et al, 2014 ). Such practices are consistent with the observed inbreeding coefficient ( f ) estimate (0.022), which is suggestive of some inbreeding in the Brahman populations examined (van der Westhuizen et al, 2019 ). Although it cannot be excluded that the low genetic diversity in the Brahman population may be due to the fact that the cattle BeadChip was optimized for use in Bos taurus taurus breeds (Cheruiyot et al, 2018 ), it is important that genetic diversity must be maintained and increased for sustainable production and management of this purebred cattle breed.…”

Section: Discussionsupporting

confidence: 84%

See 1 more Smart Citation

Breed Ancestry, Divergence, Admixture, and Selection Patterns of the Simbra Crossbreed

et al. 2021

View full text Add to dashboard Cite

In this study, we evaluated an admixed South African Simbra crossbred population, as well as the Brahman (Indicine) and Simmental (Taurine) ancestor populations to understand their genetic architecture and detect genomic regions showing signatures of selection. Animals were genotyped using the Illumina BovineLD v2 BeadChip (7K). Genomic structure analysis confirmed that the South African Simbra cattle have an admixed genome, composed of 5/8 Taurine and 3/8 Indicine, ensuring that the Simbra genome maintains favorable traits from both breeds. Genomic regions that have been targeted by selection were detected using the linkage disequilibrium-based methods iHS and Rsb. These analyses identified 10 candidate regions that are potentially under strong positive selection, containing genes implicated in cattle health and production (e.g., TRIM63, KCNA10, NCAM1, SMIM5, MIER3, and SLC24A4). These adaptive alleles likely contribute to the biological and cellular functions determining phenotype in the Simbra hybrid cattle breed. Our data suggested that these alleles were introgressed from the breed's original indicine and taurine ancestors. The Simbra breed thus possesses derived parental alleles that combine the superior traits of the founder Brahman and Simmental breeds. These regions and genes might represent good targets for ad-hoc physiological studies, selection of breeding material and eventually even gene editing, for improved traits in modern cattle breeds. This study represents an important step toward developing and improving strategies for selection and population breeding to ultimately contribute meaningfully to the beef production industry.

show abstract

Section: Discussionsupporting

confidence: 87%

Section: Discussionsupporting

confidence: 84%

Breed Ancestry, Divergence, Admixture, and Selection Patterns of the Simbra Crossbreed

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Genetic diversities based on microsatellite markers in indigenous and local cattle have been reported for many breeds of cattle, such as West African cattle (Alvarez et al, 2021), East Eurasian cattle (Svishcheva, 2020); Russian cattle (Abdelmanova et al, 2020), some of Indian local cattle (Vinod et al, 2019); European cattle (Garkovenko et al, 2018), Korean native cattle (Sharma et al, 2020), Egyptian native cattle (Faid-Allah et al, 2018), Lebedyn cattle (Ladyka et al, 2019), Zimbabwean Sanga cattle (Gororo et al, 2018), South African cattle (Westhuizen et al, 2020); and Turkey cattle (Demir et al, 2019). The technique has been applied to characterize Indonesia's local breed animals such as Aceh cattle (Abdullah et al, 2011), Indonesian swamp local buffalo (Saputra et al, 2020), Bali cattle (Jakaria et al, 2012), and local Indonesian cattle (Sutarno et al, 2016;Agung et al, 2019;).…”

Section: Domestic Database Animal Diversity-informationmentioning

confidence: 99%

Genetic Diversity Analysis and Determination of Specific Alleles of Kuantan Cattle Using Microsatellite Markers

Misrianti

Wijaya

Sumantri

et al. 2022

Trop. Anim. Sci. J.

View full text Add to dashboard Cite

Kuantan cattle have an important role in Riau Province, Indonesia. Identification of the genetic diversity of these cattle is important to get the basic information for breeding and conservation strategies. The aim of this research was to identify the genetic diversity of Kuantan cattle using microsatellite markers. A total of thirty-nine DNA samples from three breeds were used in this study. The polymerase chain reaction was conducted using four labeled primers of microsatellite (INRA035, ILSTS06, HEL9 and ETH225). The data were analyzed using GenAlEx 6.41, Cervus 3.0, POPTREE, and STRUCTURE Software. A total of thirty-two alleles were found from microsatellite loci. Two alleles in INRA035 locus 112 and 118 occurred as specific allele candidates for Kuantan cattle. The mean of observed heterozygosity value of the Kuantan-2 population (0.602) was higher than Kuantan-1 (0.471) but lower than Madura (0.688) and Pesisir cattle (0.625). PIC value was higher in HEL9 loci. The dendrogram showed that Kuantan cattle existed at different clusters with Pesisir and Madura cattle. This finding indicated that microsatellite markers successfully distinguished clusters of the cattle and could serve as information for conducting conservation and breeding program.

show abstract

“…The genetic structure of cattle breeds has been assessed via different molecular techniques such as microsatellites (Demir andBalcioğlu, 2019), mtDNA (Di Lorenzo et al, 2018) and SNP Arrays (Kukučková et al, 2017). These molecular tools are useful to genetically distinguish taurine cattle breeds from indicine ones (Edea et al, 2015;van der Westhuizen et al, 2020). On the other hand, several studies highlighted that these molecular markers are limited to reveal genetic differentiation between close cattle breeds.…”

Section: Introductionmentioning

confidence: 99%

Future Perspective of NGS Data for Evaluation of Population Genetic Structure in Turkish Cattle

Demir

2022

Acta fytotechn zootechn

View full text Add to dashboard Cite

Licensed under a Creative Commons Attribution 4.0 International License Developments in sequencing and SNP chip technologies have enabled scientists to obtain high-density genomic data from different livestock species, including cattle. Moreover, many bioinformatics tools are available to analyse high-density genomic data. Via these tools, several statistical approaches such as Principal Component Analysis and clusterin-based analyses could be conducted to reveal the genetic structure of cattle populations. However, revealing the genetic structure and selection signatures of Turkish cattle breeds is a new area of research, since the previous studies are limited with a few microsatellite data. On the other hand, rearing in different geographical and environmental conditions for a long period could possibly lead to more genetic variation in native Turkish cattle breeds compared to high-yielding culture breeds. These variations obviously cannot be detected by limited number of microsatellite markers, while Next Generation Sequencing is promising for further population structure studies. Hence this review aims to summarise previous studies and give a perspective of Next Generation Sequencing possibilities to reveal the population structure of Turkish cattle for further studies.

show abstract

Genetic variability and relationships in nine South African cattle breeds using microsatellite markers

Cited by 10 publications

References 38 publications

Breed Ancestry, Divergence, Admixture, and Selection Patterns of the Simbra Crossbreed

Breed Ancestry, Divergence, Admixture, and Selection Patterns of the Simbra Crossbreed

Genetic Diversity Analysis and Determination of Specific Alleles of Kuantan Cattle Using Microsatellite Markers

Future Perspective of NGS Data for Evaluation of Population Genetic Structure in Turkish Cattle

Contact Info

Product

Resources

About