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Natural Selection Footprints Among African Chicken Breeds and Village Ecotypes

Natural selection is likely a major factor in shaping genomic variation of the African indigenous rural chicken, driving the development of genetic footprints. Selection footprints are expected to be associated with adaptation to locally prevailing environmental stressors, which may include diverse...

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Autores principales: Elbeltagy, Ahmed R., Bertolini, Francesca, Fleming, Damarius S., Van Goor, Angelica, Ashwell, Chris M., Schmidt, Carl J., Kugonza, Donald R., Lamont, Susan J., Rothschild, Max. F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6518202/
https://www.ncbi.nlm.nih.gov/pubmed/31139205
http://dx.doi.org/10.3389/fgene.2019.00376
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author Elbeltagy, Ahmed R.
Bertolini, Francesca
Fleming, Damarius S.
Van Goor, Angelica
Ashwell, Chris M.
Schmidt, Carl J.
Kugonza, Donald R.
Lamont, Susan J.
Rothschild, Max. F.
author_facet Elbeltagy, Ahmed R.
Bertolini, Francesca
Fleming, Damarius S.
Van Goor, Angelica
Ashwell, Chris M.
Schmidt, Carl J.
Kugonza, Donald R.
Lamont, Susan J.
Rothschild, Max. F.
author_sort Elbeltagy, Ahmed R.
collection PubMed
description Natural selection is likely a major factor in shaping genomic variation of the African indigenous rural chicken, driving the development of genetic footprints. Selection footprints are expected to be associated with adaptation to locally prevailing environmental stressors, which may include diverse factors as high altitude, disease resistance, poor nutrition, oxidative and heat stresses. To determine the existence of a selection footprint, 268 birds were randomly sampled from three indigenous ecotypes from East Africa (Rwanda and Uganda) and North Africa (Baladi), and two registered Egyptian breeds (Dandarawi and Fayoumi). Samples were genotyped using the chicken Affymetrix 600K Axiom(®) Array. A total of 494,332 SNPs were utilized in the downstream analysis after implementing quality control measures. The intra-population runs of homozygosity (ROH) that occurred in >50% of individuals of an ecotype or in >75% of a breed were studied. To identify inter-population differentiation due to genetic structure, F(ST) was calculated for North- vs. East-African populations and Baladi and Fayoumi vs. Dandarawi for overlapping windows (500 kb with a step-size of 250 kb). The ROH and F(ST) mapping detected several selective sweeps on different autosomes. Results reflected selection footprints of the environmental stresses, breed behavior, and management. Intra-population ROH of the Egyptian chickens showed selection footprints bearing genes for adaptation to heat, solar radiation, ion transport and immunity. The high-altitude-adapted East-African populations’ ROH showed a selection signature with genes for angiogenesis, oxygen-heme binding and transport. The neuroglobin gene (GO:0019825 and GO:0015671) was detected on a Chromosome 5 ROH of Rwanda–Uganda ecotypes. The sodium-dependent noradrenaline transporter, SLC6A2 on a Chromosome 11 ROH in Fayoumi breed may reflect its active behavior. Inter-population F(ST) among Egyptian populations reflected genetic mechanisms for the Fayoumi resistance to Newcastle Disease Virus (NDV), while F(ST) between Egyptian and Rwanda–Uganda populations indicated the Secreted frizzled related protein 2, SFRP2, (GO:0009314) on Chromosome 4, that contributes to melanogenic activity and most likely enhances the Dandarawi chicken adaptation to high-intensity of solar radiation in Southern Egypt. These results enhance our understanding of the natural selection forces role in shaping genomic structure for adaptation to the stressful African conditions.
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spelling pubmed-65182022019-05-28 Natural Selection Footprints Among African Chicken Breeds and Village Ecotypes Elbeltagy, Ahmed R. Bertolini, Francesca Fleming, Damarius S. Van Goor, Angelica Ashwell, Chris M. Schmidt, Carl J. Kugonza, Donald R. Lamont, Susan J. Rothschild, Max. F. Front Genet Genetics Natural selection is likely a major factor in shaping genomic variation of the African indigenous rural chicken, driving the development of genetic footprints. Selection footprints are expected to be associated with adaptation to locally prevailing environmental stressors, which may include diverse factors as high altitude, disease resistance, poor nutrition, oxidative and heat stresses. To determine the existence of a selection footprint, 268 birds were randomly sampled from three indigenous ecotypes from East Africa (Rwanda and Uganda) and North Africa (Baladi), and two registered Egyptian breeds (Dandarawi and Fayoumi). Samples were genotyped using the chicken Affymetrix 600K Axiom(®) Array. A total of 494,332 SNPs were utilized in the downstream analysis after implementing quality control measures. The intra-population runs of homozygosity (ROH) that occurred in >50% of individuals of an ecotype or in >75% of a breed were studied. To identify inter-population differentiation due to genetic structure, F(ST) was calculated for North- vs. East-African populations and Baladi and Fayoumi vs. Dandarawi for overlapping windows (500 kb with a step-size of 250 kb). The ROH and F(ST) mapping detected several selective sweeps on different autosomes. Results reflected selection footprints of the environmental stresses, breed behavior, and management. Intra-population ROH of the Egyptian chickens showed selection footprints bearing genes for adaptation to heat, solar radiation, ion transport and immunity. The high-altitude-adapted East-African populations’ ROH showed a selection signature with genes for angiogenesis, oxygen-heme binding and transport. The neuroglobin gene (GO:0019825 and GO:0015671) was detected on a Chromosome 5 ROH of Rwanda–Uganda ecotypes. The sodium-dependent noradrenaline transporter, SLC6A2 on a Chromosome 11 ROH in Fayoumi breed may reflect its active behavior. Inter-population F(ST) among Egyptian populations reflected genetic mechanisms for the Fayoumi resistance to Newcastle Disease Virus (NDV), while F(ST) between Egyptian and Rwanda–Uganda populations indicated the Secreted frizzled related protein 2, SFRP2, (GO:0009314) on Chromosome 4, that contributes to melanogenic activity and most likely enhances the Dandarawi chicken adaptation to high-intensity of solar radiation in Southern Egypt. These results enhance our understanding of the natural selection forces role in shaping genomic structure for adaptation to the stressful African conditions. Frontiers Media S.A. 2019-05-08 /pmc/articles/PMC6518202/ /pubmed/31139205 http://dx.doi.org/10.3389/fgene.2019.00376 Text en Copyright © 2019 Elbeltagy, Bertolini, Fleming, Van Goor, Ashwell, Schmidt, Kugonza, Lamont and Rothschild. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Elbeltagy, Ahmed R.
Bertolini, Francesca
Fleming, Damarius S.
Van Goor, Angelica
Ashwell, Chris M.
Schmidt, Carl J.
Kugonza, Donald R.
Lamont, Susan J.
Rothschild, Max. F.
Natural Selection Footprints Among African Chicken Breeds and Village Ecotypes
title Natural Selection Footprints Among African Chicken Breeds and Village Ecotypes
title_full Natural Selection Footprints Among African Chicken Breeds and Village Ecotypes
title_fullStr Natural Selection Footprints Among African Chicken Breeds and Village Ecotypes
title_full_unstemmed Natural Selection Footprints Among African Chicken Breeds and Village Ecotypes
title_short Natural Selection Footprints Among African Chicken Breeds and Village Ecotypes
title_sort natural selection footprints among african chicken breeds and village ecotypes
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6518202/
https://www.ncbi.nlm.nih.gov/pubmed/31139205
http://dx.doi.org/10.3389/fgene.2019.00376
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