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1

Bayesian analysis of genetic backgrounds of twinning rate in Thoroughbred horses

100%
Skotarczak E., Molinski K., Szwaczkowski T., Dobek A.
Journal of Animal and Feed Sciences
|
2007
|
tom 16
|
nr 4
526-537
2

Phylogenic analysis of Chinese Leishmania isolates based on small subunit ribosomal RNA (SSU rRNA) and 7 spliced leader RNA (7SL RNA)

67%
Guan W., Cao D.-P., Sun K., Xu J.-N., Zhang J.-R., Chen D.-L., Chen J.-P.
Acta Parasitologica
|
2012
|
tom 57
|
nr 2
The leishmaniases are zoonotic diseases caused by protozoan parasites of the genus Leishmania. Leishmaniases are still endemic in China, especially in the west and northwest froniter regions. To revalue the preliminary phylogenetic results of Chinese Leishmania isolates, we amplified partial fragment of small subunit ribosomal RNA (SSU rRNA) and 7 spliced leader RNA (7SL RNA), then tested the phylogenetic relationships among Chinese Leishmania isolates and their relatives by analyzing SSU rRNA gene sequences and 7SL RNA gene sequences. 19 SSU RNA sequences and 9 7SL RNA sequences were obtained in our study, then analyzed with 42 SSU RNA sequences and 32 7SL RNA sequences retrieved from Genbank, respectively. In the Bayesian analysis of the SSU RNA gene, the isolate MHOM/CN/93/GS7 and the isolate IPHL/CN/77/XJ771 are members of Leishmania donovani complex, while the isolate MHOM/CN/84/JS1 clustered with Leishmania tropica. The other 11 Chinese Leishmania isolates (MHOM/CN/90/WC, MCAN/CN/90/SC11, MHOM/CN/80/XJ801, MHOM/CN/85/GS4, MHOM/CN/84/SD1, MCAN/CN/86/SC7, MHOM/CN/54/#3, MHOM/CN/83/GS2, MHOM/CN/90/SC10H2, MHOM/CN/89/GS6 and MHOM/CN/ 89/GS5) form an unclassified group, defined as Leishmania sp., and the most relative species to this group is L. tarentolae. In the Bayesian analysis of the 7SL RNA gene, 9 Chinese Leishmania isolates also formed an unclassified group with L. tarentolae, including canine isolate 10, MHOM/CN/85/GS4, MHOM/CN/84/SD1, MCAN/CN/86/SC7, MHOM/CN/54/#3, MHOM/ CN/83/GS2, MHOM/CN/90/SC10H2, MHOM/CN/89/GS6 and MHOM/CN/89/GS5. We concluded that: (1) Chinese Leishmania isolates are non-monophyly group; (2) an unclassified group may exist in China, and the most relative species to this group is L. tarentolae; (3) MHOM/CN/84/JS1, which was previously assigned as L. donovani, was most genetically related to L. tropica strain MHOM/SU/74/K27.
3

The influence of habitat structure on genetic differentiation in red fox populations in north-eastern Poland

67%
Mullins J., McDevitt A. D., Kowalczyk R., Ruczynska I., Gorny M., Wojcik J. M.
Acta Theriologica
|
2014
|
tom 59
|
nr 3
The red fox (Vulpes vulpes) has the widest global distribution among terrestrial carnivore species, occupying most of the Northern Hemisphere in its native range. Because it carries diseases that can be transmitted to humans and domestic animals, it is important to gather information about their movements and dispersal in their natural habitat but it is difficult to do so at a broad scale with trapping and telemetry. In this study, we have described the genetic diversity and structure of red fox populations in six areas of north-eastern Poland, based on samples collected from 2002–2003. We tested 22 microsatellite loci isolated from the dog and the red fox genome to select a panel of nine polymorphic loci suitable for this study. Genetic differentiation between the six studied populations was low to moderate and analysis in Structure revealed a panmictic population in the region. Spatial autocorrelation among all individuals showed a pattern of decreasing relatedness with increasing distance and this was not significantly negative until 93 km, indicating a pattern of isolation-by-distance over a large area. However, there was no correlation between genetic distance and either Euclidean distance or least-cost path distance at the population level. There was a significant relationship between genetic distance and the proportion of large forests and water along the Euclidean distances. These types of habitats may influence dispersal paths taken by red foxes, which is useful information in terms of wildlife disease management.
4

Bayesian segregation analysis of test-day milk yield in Tunisian Sicilo-Sarde dairy sheep

67%
Ilahi H., Othmane M. H.
Journal of Animal and Feed Sciences
|
2011
|
tom 20
|
nr 2
Segregation analyses were performed using a Monte Carlo Markov Chain (MCMC) method implemented using Gibbs Sampling. A total of 8387 test-day milk records obtained from the Sicilo-Sarde dairy flock of the Tunisian National Institute of Agricultural Research (INRAT) were analysed. The major gene was assumed to be purely additive autosomal biallelic (A and B) locus with Mendelian transmission probabilities and priors used for the variance components were uniform. Based on 50 000 Gibbs samples from a chain of 520 000 cycles, the estimated marginal posterior means ± posterior standard deviations of variance components of test-day milk yield were 94.82 ± 136.60, 1892.65 ± 1275.21, 5965.72 ± 1166.13 and 15979.40 ± 251.86 for major gene variance (2G􀁖), polygenic variance (2u􀁖), permanent environmental variance (2pe􀁖) and error variance (2e􀁖), respectively. Results showed that the postulated major gene was not significant, the 95% highest posterior density regions (HPDRs) of most major gene parameters included 0, and particularly for the major gene variance. The 95% HPDR for Mendelian transmission probabilities showed that probabilities for 3 genotypes were overlapping. Results indicated that segregation of a major gene was unlikely and that the genetic determinism of test-day milk in Tunisian Sicilo-Sarde dairy sheep is purely polygenic. The estimated polygenic heritability and repeatability were h2 = 0.07 and r = 0.32.
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