Dataset Information

Genetic diversity of indigenous chickens from selected areas in Kenya using microsatellite markers.

ABSTRACT: In this study, indigenous chickens were collected from eight different regions in Kenya and kept at InCIP-Egerton University. These were studied using eighteen microsatellite markers to determine genetic variation. Statistics related to genetic variation were estimated using GenALEx6. Mean percentage polymorphic loci (PPL) was 96.71% and 4% genetic variance (p ≥ 0.003) was seen between the eight populations. MCW0123 marker had the highest genetic variance of 13% among populations (p ≥ 0.003) at 95% CI. Mean He ranged from 0.351 ± 0.031 (SIB) to 0.434 ± 0.022 (BM) with a grand mean He of 0.399 ± 0.011 across the populations using the microsatellite markers. Nei's genetic distance ranged from 0.016 (SIB and WP) to 0.126 (NR and SIB). DARwin6.501 analysis software was used to draw the population dendrogram and two major population clusters were observed, also seen with PCoA. This study found a lot of genetic variation and relatedness within and among populations. Based on the phylogenetic tree result, it is concluded that the clustering of the chicken populations in the present study is not based on geographical proximity. The microsatellite markers used in this study were suitable for the measurement of the genetic biodiversity and relationship of Kenyan chicken populations. These results can therefore serve as an initial step to plan the conservation of indigenous chickens in Kenya.

SUBMITTER: Okumu ON

PROVIDER: S-EPMC6296579 | biostudies-other | 2017 Dec

REPOSITORIES: biostudies-other

ACCESS DATA

Publications

Genetic diversity of indigenous chickens from selected areas in Kenya using microsatellite markers.

Okumu Okoth Noah ON Ngeranwa J J N JJN Binepal Y S YS Kahi A K AK Bramwel W W WW Ateya L O LO Wekesa F C FC

Journal, genetic engineering & biotechnology 20170504 2

In this study, indigenous chickens were collected from eight different regions in Kenya and kept at InCIP-Egerton University. These were studied using eighteen microsatellite markers to determine genetic variation. Statistics related to genetic variation were estimated using GenALEx6. Mean percentage polymorphic loci (PPL) was 96.71% and 4% genetic variance (<i>p</i> ≥ 0.003) was seen between the eight populations. MCW0123 marker had the highest genetic variance of 13% among populations (<i>p</i ...[more]

PMID: 30647691

Similar Datasets

Project description:ObjectiveEuropean pigs have been imported to improve the economically important traits of Thai pigs by crossbreeding and was finally completely replaced. Currently Thai indigenous pigs are particularly kept in a small population. Therefore, indigenous pigs risk losing their genetic diversity and identity. Thus, this study was conducted to perform large-scale genetic diversity and phylogenetic analyses on the many pig breeds available in Thailand.MethodsGenetic diversity and phylogenetics analyses of 222 pigs belonging to Thai native pigs (TNP), Thai wild boars (TWB), European commercial pigs, commercial crossbred pigs, and Chinese indigenous pigs were investigated by genotyping using 26 microsatellite markers.ResultsThe results showed that Thai pig populations had a high genetic diversity with mean total (TNA) and effective (Ne) number of alleles of 14.59 and 3.71, respectively, and expected heterozygosity (He) across loci (0.710). The polymorphic information content (PIC) per locus ranged between 0.651 and 0.914 leading to an average value above all loci of 0.789, and private alleles were found in six populations. The higher He compared to Ho in TNP, TWB, and the commercial pigs indicated some inbreeding within a population. The Nei's genetic distance, mean FST estimates, neighbour-joining tree of populations and individual, as well as multidimensional analysis indicated close genetic relationship between Thai indigenous pigs and some Chinese pigs, and they are distinctly different from European pigs.ConclusionOur study reveals a close genetic relationship between Thai native pigs and Chinese pigs. The genetic introgression from European breeds is found in some Thai native pig populations, and signs of genetic erosion are shown. Private alleles found in this study should be taken into consideration for the breeding program. The genetic information from this study will be a benefit for both conservation and utilization of Thai pig genetic resources.

Project description:BACKGROUND:Currently about 26,000 horses are breeding in Korea and 57.2% (14,776 horses) of them are breeding in Jeju island. According to the statistics published in 2010, the horses breeding in Jeju island are subdivided into Jeju horse (6.1%), Thoroughbred (18.8%) and Halla horse (75.1%). Halla horses are defined as a crossbreed between Jeju and Thoroughbred horses and are used for horse racing, horse riding and horse meat production. However, little research has been conducted on Halla horses because of the perception of crossbreed and people's weighted interest toward Jeju horses. METHOD:Using 17 Microsatellite (MS) Markers recommended by International Society for Animal Genetics (ISAG), genomic DNAs were extracted from the hair roots of 3,880 Halla horses breeding in Korea and genetic diversity was identified by genotyping after PCR was performed. RESULTS AND CONCLUSION:In average, 10.41 alleles (from 6 alleles in HTG7 to 17 alleles in ASB17) were identified after the analysis using 17 MS Markers. The mean value of Hobs was 0.749 with a range from 0.612(HMS1) to 0.857(ASB2). Also, it was found that Hexp and PIC values were lowest in HMS1 (0.607 and 0.548, respectively), and highest in LEX3(0.859 and 0.843, respectively), and the mean value of Hexp was 0.760 and that of PIC was 0.728. 17 MS markers used in this studies were considered as appropriate markers for the polymorphism analysis of Halla horses. The frequency for the appearance of identical individuals was 5.90?×?10-20 when assumed as random mating population and when assumed as half-sib and full-sib population, frequencies were 4.08?×?10-15 and 3.56?×?10-8, respectively. Based on these results, the 17 MS markers can be used adequately for the Individual Identification and Parentage Verification of Halla horses. Remarkably, allele M and Q of ASB23 marker, G of HMS2 marker, H and L of HTG6 marker, L of HTG7 marker, E of LEX3 marker were the specific alleles unique to Halla horses.

Dataset Information

Genetic diversity of indigenous chickens from selected areas in Kenya using microsatellite markers.

Publications

Genetic diversity of indigenous chickens from selected areas in Kenya using microsatellite markers.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets