Projects per year
Abstract
Indigenous poultry breeds from Africa can survive in harsh tropical environments (such as long arid seasons, excessive rain and humidity, and extreme heat) and are resilient to disease challenges, but they are not productive compared to their commercial counterparts. Their adaptive characteristics are in response to natural selection or to artificial selection for production traits that have left selection signatures in the genome. Identifying these signatures of positive selection can provide insight into the genetic bases of tropical adaptations observed in indigenous poultry and thereby help to develop robust and high-performing breeds for extreme tropical climates. Here, we present the first large-scale whole-genome sequencing analysis of Nigerian indigenous chickens from different agro-climatic conditions, investigating their genetic diversity and adaptation to tropical hot climates (extreme arid and extreme humid conditions). The study shows a large extant genetic diversity but low level of population differentiation. Using different selection signature analyses, several candidate genes for adaptation were detected, especially in relation to thermotolerance and immune response (e.g., cytochrome P450 2B4-like, TSHR, HSF1, CDC37, SFTPB, HIF3A, SLC44A2, and ILF3 genes). These results have important implications for conserving valuable genetic resources and breeding improvement of chickens for thermotolerance.
Original language | English |
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Article number | 2209 |
Pages (from-to) | 1-13 |
Number of pages | 13 |
Journal | Scientific Reports |
Volume | 14 |
Issue number | 1 |
Early online date | 26 Jan 2024 |
DOIs | |
Publication status | Published - 26 Jan 2024 |
Keywords / Materials (for Non-textual outputs)
- Animals
- Chickens/genetics
- Genetic Variation
- Genome
- Genomics/methods
- Hot Temperature
- Polymorphism, Single Nucleotide
- Selection, Genetic
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Identifying the genomic basis of complex traits in farmed animals
Headon, D. (Principal Investigator)
1/04/23 → 31/03/28
Project: Research
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CTLGH: A global shared data biological sample resource to support productivity improvement for tropical livestock
Freeman, P. (Principal Investigator), Bronsvoort, M. (Co-investigator), Clark, E. (Co-investigator), Connelley, T. (Co-investigator), Hassan, M. (Co-investigator), McGrew, M. (Co-investigator), Morrison, L. (Co-investigator), Prendergast, J. (Co-investigator), Robert, C. (Co-investigator), Smith, J. (Co-investigator), Sparks, N. (Co-investigator), Watson, M. (Co-investigator) & Whitelaw, B. (Co-investigator)
1/10/15 → 31/03/22
Project: Research