کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8416448 | 1545570 | 2017 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Genetic diversity of indigenous chickens from selected areas in Kenya using microsatellite markers
ترجمه فارسی عنوان
تنوع ژنتیکی جوجه های بومی از مناطق انتخاب شده در کنیا با استفاده از نشانگرهای ریزماهواره
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کلمات کلیدی
تغییر، میکروسستاتیت، بومی جمعیت حفاظت،
موضوعات مرتبط
علوم زیستی و بیوفناوری
بیوشیمی، ژنتیک و زیست شناسی مولکولی
بیوتکنولوژی یا زیستفناوری
چکیده انگلیسی
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 â¥Â 0.003) was seen between the eight populations. MCW0123 marker had the highest genetic variance of 13% among populations (p â¥Â 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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Genetic Engineering and Biotechnology - Volume 15, Issue 2, December 2017, Pages 489-495
Journal: Journal of Genetic Engineering and Biotechnology - Volume 15, Issue 2, December 2017, Pages 489-495
نویسندگان
Okoth Noah Okumu, J.J.N. Ngeranwa, Y.S. Binepal, A.K. Kahi, W.W. Bramwel, L.O. Ateya, F.C. Wekesa,