Geographic and Breed Distribution Patterns of an A/G Polymorphism resent in the Mx Gene Suggests Balanced Selection in Village Chickens

Ommeh, Sheila; Jin, Lei; Eding, Herwin; Muchadeyi, Farai C.; Sulandari, Sri; Zein, Sharif Hussein Sharif; Danbaro, G.; Wani, C. E.; Zhao, Song; Nie, Qinghua; Zhang, X. Q.; Ndila, Mary; Preisinger, Rudolf; Chen, G. H.; Yousif, Ibrahim A.; Heo, Kyongman; Oh, Sejong; Tapio, Miika; Masiga, Daniel K.; Hanotte, Olivier; Han, Jin‐Hee; Weigend, Steffen

doi:10.3923/ijps.2010.32.38

Cited by 4 publications

(2 citation statements)

References 11 publications

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“…A strong and significant positive correlation (r = 0.9936, P>0.05) is observed between genetic variations and the geographic location in helmeted Guinea fowls in Kenya just like previously described by Mwacharo [ 25 ]. This contrasts with the findings of Ommeh [ 50 ] that showed a slight negative correlation between allele frequencies and the geographic location in indigenous village chicken populations. The Mantel test revealed lack of a population structure within Kenya's domesticated helmeted Guinea fowl mtDNA haplotypes.…”

Section: Resultscontrasting

confidence: 99%

Mitochondrial DNA D-Loop Diversity of the Helmeted Guinea Fowls in Kenya and Its Implications on HSP70 Gene Functional Polymorphism

Murunga

Kennedy

Imboma

et al. 2018

BioMed Research International

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We analyzed variations in 90 mitochondrial DNA (mtDNA) D-loop and heat shock protein 70 (HSP70) gene sequences from four populations of domesticated helmeted Guinea fowls (70 individuals) and 1 population of wild helmeted Guinea fowls (20 individuals) in Kenya in order to get information about their origin, genetic diversity, and traits associated with heat stress. 90 sequences were assigned to 25 distinct mtDNA and 4 HSP70 haplotypes. Most mtDNA haplotypes of the domesticated helmeted Guinea fowls were grouped into two main haplogroups, HgA and HgB. The wild population grouped into distinct mtDNA haplogroups. Two mtDNA haplotypes dominated across all populations of domesticated helmeted Guinea fowls: Hap2 and Hap4, while the dominant HSP70 haplotype found in all populations was CGC. Higher haplotype diversities were generally observed. The HSP70 haplotype diversities were low across all populations. The nucleotide diversity values for both mtDNA and HSP70 were generally low. Most mtDNA genetic variations occurred among populations for the three hierarchical categories considered while most variations in the HSP70 gene occurred among individuals within population. The lack of population structure among the domestic populations could suggest intensive genetic intermixing. The differentiation of the wild population may be due to a clearly distinct demographic history that shaped its genetic profile. Analysis of the Kenyan Guinea fowl population structure and history based on mtDNA D-loop variations and HSP70 gene functional polymorphisms complimented by archaeological and linguistic insight supports the hypothesis that most domesticated helmeted Guinea fowls in Kenya are related to the West African domesticated helmeted Guinea fowls. We recommend more molecular studies on this emerging poultry species with potential for poverty alleviation and food security against a backdrop of climate change in Africa.

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Section: Resultscontrasting

confidence: 99%

Mitochondrial DNA D-Loop Diversity of the Helmeted Guinea Fowls in Kenya and Its Implications on HSP70 Gene Functional Polymorphism

Murunga

Kennedy

Imboma

et al. 2018

BioMed Research International

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“…A study used a total of 24 SNPs and 35 haplotypes within the family of Toll Like Receptors genes to investigate genetic variability in immune response traits of Sri Lankan Indigenous chickens [47]. An investigation of the polymorphism at a single Mx locus inferred on resistance of populations to Avian Influenza [48]. The genetic diversity of two important immunity candidate genes, the inducible nitric oxide synthase (INOS) and natural resistance-associated macrophage protein 1 (NRAMP1) in indigenous Malaysian chickens, was carried out using the polymerase chain reaction-restriction fragment polymorphism (PCR-RFLP) [49].…”

Section: Previous Attempts To Characterize and Manipulate Adaptive Gementioning

confidence: 99%

Genomics Tools for the Characterization of Genetic Adaptation of Low Input Extensively Raised Chickens

Muchadeyi¹,

Dzomba²

2017

Poultry Science

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Evolutionary change emanating from diferential contribution of genotypes to the next generation can determine success in survival and reproduction in chickens. For extensively raised chickens reared under low-input production systems in smallholder farming areas, conditions of resources deprivation and exposure to diverse and threatening natural selection pressures are common in many countries worldwide. Numerous studies have demonstrated that village chickens and other extensively raised chicken populations represent a valuable source of biodiversity adapted to the local production conditions and selection pressures. Manipulation of their acquired adaptive genetic diversity depends on unravelling the selection footprints in the genomes of these chickens that could point towards candidate genes for traits that enable the animals to survive under the harsh production environments. This chapter summarizes the evidence for chickens adaptation to extreme environments and describes an inventory of modern tools that could be used in characterizing the production systems of chicken genetic resources. The role of natural selection in shaping the biodiversity of chicken genetic resources is discussed. The continued advancement of biotechnological tools to assess chicken populations has been beneicial to research in genetic adaptation. Genomics tools, as evidenced by assays of whole genome and transcriptome sequences, and single nucleotide polymorphism SNP) genotypes of chickens, now allow analyses of functional genomic regions that are linked to adaptation. The use of these methods to characterize and investigate signatures of selection in the chicken genomes is highlighted. This chapter looks at how information on the selection hotspots in the chicken genomes can be manipulated to improve genetic adaptation in indigenous chicken populations with the desire to transfer the beneits to other chicken breeds raised under similar production systems.

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Mx Is Dispensable for Interferon-Mediated Resistance of Chicken Cells against Influenza A Virus

Schusser¹,

Reuter

Malsburg

et al. 2011

J Virol

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Geographic and Breed Distribution Patterns of an A/G Polymorphism resent in the Mx Gene Suggests Balanced Selection in Village Chickens

Cited by 4 publications

References 11 publications

Mitochondrial DNA D-Loop Diversity of the Helmeted Guinea Fowls in Kenya and Its Implications on HSP70 Gene Functional Polymorphism

Mitochondrial DNA D-Loop Diversity of the Helmeted Guinea Fowls in Kenya and Its Implications on HSP70 Gene Functional Polymorphism

Genomics Tools for the Characterization of Genetic Adaptation of Low Input Extensively Raised Chickens

Mx Is Dispensable for Interferon-Mediated Resistance of Chicken Cells against Influenza A Virus

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