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Agriculturae Conspectus Scientificus, Vol. 87 No. 1, 2022.

Original scientific paper

Genetic Diversity and Population Structure of Nigerian Indigenous Chicken Populations Inferred from Microsatellite Markers

Abdulhakeem Biola Ajibike ; Department of Animal Production Technology, Oyo State College of Agriculture and Technology, Nigeria; Department of Morphology (Cell Biology), Universidade Federal de Minas Gerais, Brazil
Omolola Alaba Adeniyi ; Department of Animal Health Technology, Oyo State College of Agriculture and Technology, Igboora, Oyo State, Nigeria
Babatunde Moses Ilori orcid id orcid.org/0000-0002-5316-1495 ; Department of Animal Breeding and Genetics, Federal University of Agriculture, Abeokuta, Ogun State, Nigeria
Samuel Olutunde Durosaro ; Department of Animal Breeding and Genetics, Federal University of Agriculture, Abeokuta, Ogun State, Nigeria
Damilola Ajoke Osinbowale ; Department of Animal Breeding and Genetics, Federal University of Agriculture, Abeokuta, Ogun State, Nigeria
Oluwagbemiga Olanrewaju Adeleye ; Department of Animal Production and Health, Federal University of Agriculture, Abeokuta, Ogun State, Nigeria
Ayotunde Olutumininu Adebambo orcid id orcid.org/0000-0003-2808-3701 ; Department of Animal Breeding and Genetics, Federal University of Agriculture, Abeokuta, Ogun State, Nigeria

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Abstract

Knowledge of genetic diversity is a prerequisite for better utilization of any genetic resource. However, such information is insufficient for Nigerian indigenous chicken (NIC). Deoxyribonucleic acid (DNA) of NIC was extracted from FTA® paper and amplified with predefined microsatellite primer sets. A total of 180 chickens: northeast (NE; n=44), north[1]west (NW; n=25), north-central (NC; n=42) and southwest (SW; n=69) were genotyped along with 15 microsatellite markers to assess genetic diversity, demographic and population stratification. All microsatellites typed were found to be polymorphic (mean PIC = 0.53), and a total of 44 distinct alleles were detected. For all the loci, average inbreeding values (FIS) were ranged from -0.01 (NW chickens) to 0.17 (SW chickens), with an average value of 0.12, thus suggesting heterozygote excess. Most of the microsatellites deviated from Hardy[1]Weinberg equilibrium. SW and NC chickens related more closely having a genetic distance value of 0.02. The cluster analyses using STRUCTURE program indicated there were three primary populations, which provided evidence of extensive sharing of genetic variability, revealing varying levels of admixture among the studied population. The AMOVA analysis result indicated the proportion of genetic variation due to differences among populations and within populations was 5.46% and 96.56% respectively. Our results revealed multiple waves of introduction of diverse gene pools, and high panmixia has created and maintained a unique set of Gallus biodiversity in Nigeria

Keywords

genetic differentiation; local chicken; genetic marker; population structure

Hrčak ID:

274549

URI

https://hrcak.srce.hr/274549

Publication date:

29.3.2022.

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