Editorial: Why livestock genomics for developing countries offers opportunities for success.

Universidad Nacional Agraria La Molina. Escuela de Posgrado. Maestría en Producción AnimalThe Research Topic yielded 23 articles that are either review (five papers) or original research articles (18 papers) covering major livestock species kept in developing countries including cattle (seven papers), sheep (five papers), goats (three papers), and chickens (three papers). The manuscripts cover a broad range of genomic applications such as genomic selection/assisted breeding, genome-wide association analysis, diversity studies with a particular emphasis on adaptive genetic variation and signatures of selection analysis, and some elements of functional genomics using RNA sequencing and differential gene expression profiling. Whilst a broad range of genomic applications are covered, there is a bias toward genomic diversity studies, indicating the limited utility of other genomic applications due to inherent limitations to data collection and funding that characterize most developing countries, and are highlighted in some of the review article

Genome‑wide scan for selection signatures in six cattle breeds in South Africa

BACKGROUND : The detection of selection signatures in breeds of livestock species can contribute to the identification of regions of the genome that are, or have been, functionally important and, as a consequence, have been targeted by selection. METHODS : This study used two approaches to detect signatures of selection within and between six cattle breeds in South Africa, including Afrikaner (n = 44), Nguni (n = 54), Drakensberger (n = 47), Bonsmara (n = 44), Angus (n = 31) and Holstein (n = 29). The first approach was based on the detection of genomic regions in which haplotypes have been driven towards complete fixation within breeds. The second approach identified regions of the genome that had very different allele frequencies between populations (FST). RESULTS AND DISCUSSION : Forty-seven candidate genomic regions were identified as harbouring putative signatures of selection using both methods. Twelve of these candidate selected regions were shared among the breeds and ten were validated by previous studies. Thirty-three of these regions were successfully annotated and candidate genes were identified. Among these genes the keratin genes (KRT222, KRT24, KRT25, KRT26, and KRT27) and one heat shock protein gene (HSPB9) on chromosome 19 between 42,896,570 and 42,897,840 bp were detected for the Nguni breed. These genes were previously associated with adaptation to tropical environments in Zebu cattle. In addition, a number of candidate genes associated with the nervous system (WNT5B, FMOD, PRELP, and ATP2B), immune response (CYM, CDC6, and CDK10), production (MTPN, IGFBP4, TGFB1, and AJAP1) and reproductive performance (ADIPOR2, OVOS2, and RBBP8) were also detected as being under selection. CONCLUSIONS : The results presented here provide a foundation for detecting mutations that underlie genetic variation of traits that have economic importance for cattle breeds in South Africa.Additional file 1: Table S1. Symbols and names for all annotated candidate genes.ARChttp://gsejournal.biomedcentral.com/am2017Animal and Wildlife Science

Genetic and phenotypic characterization of African goat populations to prioritize conservation and production efforts for small-holder farmers in sub-Saharan Africa

Food production systems in Africa depend heavily on the use of locally adapted animals. Goats are critical to small-holder farmers being easier to acquire, maintain, and act as scavengers in sparse pasture. Indigenous goats have undergone generations of adaptation and genetic isolation that have led to great phenotypic variation. These indigenous goats serve as a genetic reservoir for the identification of genes important to environmental adaptation, disease resistance, and improved productivity under local conditions. The immediate goal is to characterize African goat populations to prioritize conservation and production efforts and to develop genomic tools for use in selective breeding programs. We have established a standardized phenotypic scoring system to characterize goats including geographical information data, body measurements, photo characterization, and DNA. To date, 2,443 goats from 12 countries, representing 46 breeds have been sampled. Using the 50K goat beadchip, we report parameters of population structure of 620 African goats

Genetic analysis of local Vietnamese chickens provides evidence of gene flow from wild to domestic populations

<p>Abstract</p> <p>Background</p> <p>Previous studies suggested that multiple domestication events in South and South-East Asia (Yunnan and surrounding areas) and India have led to the genesis of modern domestic chickens. Ha Giang province is a northern Vietnamese region, where local chickens, such as the H'mong breed, and wild junglefowl coexist. The assumption was made that hybridisation between wild junglefowl and Ha Giang chickens may have occurred and led to the high genetic diversity previously observed. The objectives of this study were i) to clarify the genetic structure of the chicken population within the Ha Giang province and ii) to give evidence of admixture with <it>G. gallus</it>. A large survey of the molecular polymorphism for 18 microsatellite markers was conducted on 1082 chickens from 30 communes of the Ha Giang province (HG chickens). This dataset was combined with a previous dataset of Asian breeds, commercial lines and samples of Red junglefowl from Thailand and Vietnam (Ha Noï). Measurements of genetic diversity were estimated both within-population and between populations, and a step-by-step Bayesian approach was performed on the global data set.</p> <p>Results</p> <p>The highest value for expected heterozygosity (> 0.60) was found in HG chickens and in the wild junglefowl populations from Thailand. HG chickens exhibited the highest allelic richness (mean A = 2.9). No significant genetic subdivisions of the chicken population within the Ha Giang province were found. As compared to other breeds, HG chickens clustered with wild populations. Furthermore, the neighbornet tree and the Bayesian clustering analysis showed that chickens from 4 communes were closely related to the wild ones and showed an admixture pattern.</p> <p>Conclusion</p> <p>In the absence of any population structuring within the province, the H'mong chicken, identified from its black phenotype, shared a common gene pool with other chickens from the Ha Giang population. The large number of alleles shared exclusively between Ha Giang chickens and junglefowl, as well as the results of a Bayesian clustering analysis, suggest that gene flow has been taking place from junglefowl to Ha Giang chickens.</p

Genetic and Phenotypic Characterization of African Goat Populations to Prioritize Conservation and Production Efforts for Small-holder Farmers in Sub-Saharan Africa

ABSTRACT: Food production systems in Africa depend heavily on the use of locally adapted animals. Goats are critical to small-holder farmers being easier to acquire, maintain, and act as scavengers in sparse pasture. Indigenous goats have undergone generations of adaptation and genetic isolation that have led to great phenotypic variation. These indigenous goats serve as a genetic reservoir for the identification of genes important to environmental adaptation, disease resistance, and improved productivity under local conditions. The immediate goal is to characterize African goat populations to prioritize conservation and production efforts and to develop genomic tools for use in selective breeding programs. We have established a standardized phenotypic scoring system to characterize goats including geographical information data, body measurements, photo characterization, and DNA. To date, 2,443 goats from 12 countries, representing 46 breeds have been sampled. Using the 50K goat beadchip, we report parameters of population structure of 620 African goats

A comprehensive analysis of the genetic diversity and environmental adaptability in worldwide Merino and Merino-derived sheep breeds

BACKGROUND: To enhance and extend the knowledge about the global historical and phylogenetic relationships between Merino and Merino-derived breeds, 19 populations were genotyped with the OvineSNP50 BeadChip specifically for this study, while an additional 23 populations from the publicly available genotypes were retrieved. Three complementary statistical tests, Rsb (extended haplotype homozygosity between-populations), XP-EHH (cross-population extended haplotype homozygosity), and runs of homozygosity (ROH) islands were applied to identify genomic variants with potential impact on the adaptability of Merino genetic type in two contrasting climate zones. RESULTS: The results indicate that a large part of the Merino's genetic relatedness and admixture patterns are explained by their genetic background and/or geographic origin, followed by local admixture. Multi-dimensional scaling, Neighbor-Net, Admixture, and TREEMIX analyses consistently provided evidence of the role of Australian, Rambouillet and German strains in the extensive gene introgression into the other Merino and Merino-derived breeds. The close relationship between Iberian Merinos and other South-western European breeds is consistent with the Iberian origin of the Merino genetic type, with traces from previous contributions of other Mediterranean stocks. Using Rsb and XP-EHH approaches, signatures of selection were detected spanning four genomic regions located on Ovis aries chromosomes (OAR) 1, 6 and 16, whereas two genomic regions on OAR6, that partially overlapped with the previous ones, were highlighted by ROH islands. Overall, the three approaches identified 106 candidate genes putatively under selection. Among them, genes related to immune response were identified via the gene interaction network. In addition, several candidate genes were found, such as LEKR1, LCORL, GHR, RBPJ, BMPR1B, PPARGC1A, and PRKAA1, related to morphological, growth and reproductive traits, adaptive thermogenesis, and hypoxia responses. CONCLUSIONS: To the best of our knowledge, this is the first comprehensive dataset that includes most of the Merino and Merino-derived sheep breeds raised in different regions of the world. The results provide an in-depth picture of the genetic makeup of the current Merino and Merino-derived breeds, highlighting the possible selection pressures associated with the combined effect of anthropic and environmental factors. The study underlines the importance of Merino genetic types as invaluable resources of possible adaptive diversity in the context of the occurring climate changes

THE EXTENT AND DISTRIBUTION OF LINKAGE DISEQUILIBRIUM IN EXTENSIVELY RAISED CHICKEN POPULATIONS OF SOUTHERN AFRICA

SUMMARY The amount of linkage disequilibrium (LD) is an important source of information about historical events of recombination and allows inferences about genetic diversity and genomic regions that have undergone selection. Linkage disequilibrium is equally important in studying effective population size and rate of inbreeding particularly in extensively raised and wild animal populations where pedigree records are scarce. The objective of this study was to investigate LD in village chicken populations of Southern Africa. These chickens are raised under scavenging systems of production characterized by uncontrolled breeding and frequent population bottlenecks due to disease outbreaks and fluctuations in feed supplies. DNA samples from 312 extensively raised chickens from South Africa, Malawi and Zimbabwe were genotyped using the Illumina iSelect chicken SNP60K BeadChip. A panel of 43,157 out of the total 57,636 (74.8%) SNPs was used in the final analysis after screening for those that had a minor allele frequency of less than 5%, were out of Hardy-Weinberg equilibrium (P&lt;0.01) and had a call rate of less that 95%. Results indicated that LD averaged between 0.45 and 0.58 for SNPs that had a pairwise distance of less than 20 kb. LD dropped to 0.34 for SNPs between 20 and 100 kb after which it remained constant. LD was further analyzed for its decay over marker distance and differences between populations from different geographic locations. Results are discussed in terms of historical changes in effective population size and resultant recombination rates. The utility of the iSelect chicken SNP60K beadchip in investigating free-range chicken population genetics is demonstrated

Some insights into the phenotypic and genetic diversity of indigenous pigs in southern Africa

CITATION: Halimani, T. E., Muchadeyi, F. C., Chimonyo, M. & Dzama, K. 2012. Some insights into the phenotypic and genetic diversity of indigenous pigs in southern Africa. South African Journal of Animal Science, 42(5):507-510, doi:10.4314/sajas.v42i5.13.The original publication is available at http://www.sasas.co.zaIndigenous pigs in southern Africa are mainly owned by economically vulnerable groups in marginal areas where they are used as a source food, income and security. A study was carried out to achieve three objectives: to describe pig production systems, get a phenotypic description of the pigs and to characterize them genetically. A survey of 199 farmers in three districts in South Africa, (Vhembe, OR Tambo and Alfred Nzo) and one district in Zimbabwe (Chirumhnazu) was carried out. Additional farmers in Malawi (Dedza, Mchinji and Salima) and Zimbabwe (Mutoko) were sampled in order to meet the other two objectives. Most of the pigs (69.7%) were owned by women, with men owning 20.5% and children the remainder. Production of the pigs was constrained by several factors including disease, inadequate feeds, poor housing and lack of knowledge. The majority of the pigs were small and black with characteristics that are probably suited for thermoregulation in arid environments. The third objective was achieved through genotyping 111 pigs using 22 microsatellites. Preliminary results indicate very little differences across populations with an overall inbreeding coefficient of the subpopulation relative to the total population (FST) of 0.071. The results indicate that the indigenous pigs in southern Africa are relatively homogenous.http://www.sasas.co.za/some-insights-phenotypic-and-genetic-diversity-indigenous-pigs-southern-africaPublisher's versio