Accuracy of pastoralists' memory-based kinship assignment of Ankole cattle: a microsatellite DNA analysis.

This study aimed to estimate the level of relatedness within Ankole cattle herds using autosomal microsatellite markers and to assess the accuracy of relationship assignment based on farmers' memory. Eight cattle populations (four from each of two counties in Mbarara district in Uganda) were studied. Cattle in each population shared varying degrees of relatedness (first-, second- and third-degree relatives and unrelated individuals). Only memory-based kinship assignments which farmers knew with some confidence were tested in this experiment. DNA isolated from the blood of a subsample of 304 animals was analysed using 19 microsatellite markers. Average within population relatedness coefficients ranged from 0.010 ± 0.005 (Nshaara) to 0.067 ± 0.004 (Tayebwa). An exclusion probability of 99.9% was observed for both sire-offspring and dam-offspring relationships using the entire panel of 19 markers. Confidence from likelihood tests performed on 292 dyads showed that first-degree relatives were more easily correctly assigned by farmers than second-degree ones (p < 0.01), which were also easier to assign than third-degree relatives (p < 0.01). Accuracy of kinship assignment by the farmers was 91.9% ± 5.0 for dam-offspring dyads, 85.5% ± 3.4 for sire-offspring dyads, 75.6% ± 12.3 for half-sib and 60.0% ± 5.0 for grand dam-grand offspring dyads. Herd size, number of dyads assigned and length of time spent by the herder with their cattle population did not correlate with error in memorizing relationships. However, herd size strongly correlated with number of dyads assigned by the herder (r = 0.967, p < 0.001). Overall, we conclude that memorized records of pastoralists can be used to trace relationships and for pedigree reconstruction within Ankole cattle populations, but with the awareness that herd size constrains the number of kinship assignments remembered by the farmer.

Mitochondrial DNA reveals multiple introductions of domestic chicken in East Africa.

Chicken were possibly domesticated in South and Southeast Asia. They occur ubiquitously in East Africa where they show extensive phenotypic diversity. They appeared in the region relatively late, with the first undisputed evidence of domestic chicken in Sudan, around ~ 700 BC. We reveal through a detailed analysis of mitochondrial DNA D-loop sequence diversity of 512 domestic village chickens, from four East African countries (Kenya, Ethiopia, Sudan, Uganda), the presence of at least five distinct mitochondrial DNA haplogroups. Phylogeographic analyses and inclusion of reference sequences from Asia allow us to address the origin, ways of introduction and dispersion of each haplogroup. The results indicate a likely Indian subcontinent origin for the commonest haplogroup (D) and a maritime introduction for the next commonest one (A) from Southeast and/or East Asia. Recent introgression of commercial haplotypes into the gene pool of village chickens might explain the rare presence of two haplogroups (B and C) while the origin of the last haplogroup (E) remains unclear being currently observed only outside the African continent in the inland Yunnan Province of China. Our findings not only support ancient historical maritime and terrestrial contacts between Asia and East Africa, but also indicate the presence of large maternal genetic diversity in the region which could potentially support genetic improvement programmes.

Genetic diversity in farm animals--a review.

Domestication of livestock species and a long history of migrations, selection and adaptation have created an enormous variety of breeds. Conservation of these genetic resources relies on demographic characterization, recording of production environments and effective data management. In addition, molecular genetic studies allow a comparison of genetic diversity within and across breeds and a reconstruction of the history of breeds and ancestral populations. This has been summarized for cattle, yak, water buffalo, sheep, goats, camelids, pigs, horses, and chickens. Further progress is expected to benefit from advances in molecular technology.

Assessment of cattle genetic introgression into domestic yak populations using mitochondrial and microsatellite DNA markers.

Hybridization between yak Poephagus grunniens and taurine Bos taurus or indicine B. indicus cattle has been widely practiced throughout the yak geographical range, and gene flow is expected to have occurred between these species. To assess the impact of cattle admixture on domestic yak, we examined 1076 domestic yak from 29 populations collected in China, Bhutan, Nepal, India, Pakistan, Kyrgyzstan, Mongolia and Russia using mitochondrial DNA and 17 autosomal microsatellite loci. A cattle diagnostic marker-based analysis reveals cattle-specific mtDNA and/or autosomal microsatellite allele introgression in 127 yak individuals from 22 populations. The mean level of cattle admixture across the populations, calculated using allelic information at 17 autosomal microsatellite loci, remains relatively low (mY(cattle) = 2.66 +/- 0.53% and Q(cattle) = 0.69 +/- 2.58%), although it varies a lot across populations as well as among individuals within population. Although the level of cattle admixture shows a clear geographical structure, with higher levels of admixture in the Qinghai-Tibetan Plateau and Mongolian and Russian regions, and lower levels in the Himalayan and Pamir Plateau region, our results indicate that the level of cattle admixture is not significantly correlated with the altitude across geographical regions as well as within geographical region. Although yak-cattle hybridization is primarily driven to produce F(1) hybrids, our results show that the subsequent gene flow between yak and cattle took place and has affected contemporary genetic make-up of domestic yak. To protect yak genetic integrity, hybridization between yak and cattle should be tightly controlled.

Genetic variation in the kappa-casein gene (CSN3) of Chinese yak (Bos grunniens) and phylogenetic analysis of CSN3 sequences in the genus Bos.

Variants of kappa-casein (CSN3) have been extensively studied in cattle and 13 alleles have been identified at the protein and DNA levels to date. Evolution of some of these alleles and a possible common ancestor remain unclear. Polymerase chain reaction-single strand conformation polymorphism (PCR-SSCP) analysis of CSN3 exon IV in domesticated yak revealed a 2-allele polymorphism showing migration patterns different from known cattle variants. The PCR products of both yak CSN3 SSCP alleles were sequenced. All yak had nucleotide sequences coding for Thr in AA position 136 (identical to bovine CSN3*A) and Ala in position 148 (identical to bovine CSN3*B). The sequencing results were confirmed by PCR-RFLP analysis using HindIII and TaqI. A 12-bp insertion in the coding region, representing a repeated nucleotide and AA motif, was found in 1 yak allele. The duplication corresponds to the codons for AA 147 to 150 (Glu-Ala-Ser-Pro) or 148 to 151 (Ala-Ser-Pro-Glu), which are repeated identically. In 21 yak samples genotyped by PCR-SSCP analysis, frequencies for the insertion variant and the short variant were about 68 and 32%, respectively. The loss of the insertion may have led to the ancestral CSN3 allele from which all currently known variants of CSN3 in the genus Bos evolved. This is the first report of polymorphisms in the yak CSN3 gene and may be helpful for future studies on genetic variation within and between yak populations or on associated traits.

Genetic relationships among Kenyan and other East African indigenous chickens.

In this study, 30 microsatellite markers recommended by the International Society for Animal Genetics and the Food and Agriculture Organization were used to determine the extent of genetic differentiation and phylogenetic relationships among indigenous chicken populations sampled in Kenya, Uganda, Ethiopia and Sudan. Genetic differentiation (F(ST)) and chord genetic distances (D(C)) indicated that the indigenous chickens were genetically related but distinct from commercial broiler and egg layer lines. Genetic divergence among the indigenous chickens determined using the Mantel test was significantly influenced (P < 0.001) by geographic (reproductive) isolation. Genetic subdivisions were found between the Kenyan/Ugandan chicken populations and Ethiopian/Sudanese chicken populations. The Marsabit chicken population from northern Kenya was the most genetically distinct population within the Kenyan and Ugandan chicken cluster, thus warranting further investigation.

Bayesian inference of population expansions in domestic bovines.

The past population dynamics of four domestic and one wild species of bovine were estimated using Bayesian skyline plots, a coalescent Markov chain Monte Carlo method that does not require an assumed parametric model of demographic history. Four domestic species share a recent rapid population expansion not visible in the wild African buffalo (Syncerus caffer). The estimated timings of the expansions are consistent with the archaeological records of domestication.

Genetic diversity and differentiation of Mongolian and Russian yak populations.

In this study we examined the genetic diversity of yak populations in the northernmost part of their current global distribution. Five Mongolian and one Russian yak populations as well as one Chinese yak population from the Qinghai-Tibetan Plateau, the putative centre of yak domestication, were analysed with 15 microsatellite loci to determine the level of genetic variation within populations as well as the genetic differentiation and relationship between populations. A total of 116 microsatellite alleles were identified. The mean number of alleles per locus (MNA) across populations was 7.73 +/- 1.98 and the mean expected heterozygosity (HE) was 0.696 +/- 0.026. The relative magnitude of gene differentiation (F(ST)) among populations was 4.1%, and all genetic differentiations (F(ST)) between populations were significant (p < 0.001). A significant inbreeding effect (F(IS)) was detected in the Hovsgol yak (p < 0.01). There was no indication of a recent bottleneck in any of the populations studied. The results showed that yak populations in Mongolia and Russia have maintained high genetic diversity within populations and a low, although significant, genetic differentiation between populations. Both phylogenetic and principal component analyses support a close genetic relationship between the Gobi Altai, south Gobi and north Hangai populations, and between the Hovsgol and Buryatia populations respectively. Our results indicate that these yak populations should be considered as distinct genetic entities in respect of conservation and breeding programmes.

Genetic diversity and relationships of indigenous Kenyan camel (Camelus dromedarius) populations: implications for their classification.

The genetic diversity and relationships amongst the dromedary (Camelus dromedarius) populations are poorly documented. Four recognized Kenyan dromedary breeds (Somali, Turkana, Rendille, Gabbra) and dromedary from Pakistan and the Arabian Peninsula (Saudi Arabia, United Arab Emirates) were studied using 14 microsatellite loci. Phylogenetic analysis showed that Kenyan dromedaries are distinct from Arabian and Pakistani populations. Expected heterozygosity and allelic diversity values indicate that Kenyan dromedaries are less diverse than non-Kenyan populations. With the exception of the Somali population, the Kenyan dromedaries are poorly differentiated (average FST=0.009), with only one to two loci separating the Gabbra, Rendille and Turkana populations studied (P < 0.05). Individual assignments were performed using the maximum likelihood method. A correct breed assignment of only 39-48% was observed for the Kenyan dromedaries, using an allocation stringency of a log of the odds ratio >2. Our results do not support the present classification of the indigenous Kenyan dromedary into four distinct breeds based on socio-geographical criteria. Instead, our results point to just two separate genetic entities, the Somali and a group including the Gabbra, Rendille and Turkana populations.