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Zhang M, Wang S, Xu R, Liu Y, Zhang H, Sun M, Wang J, Liu Z, Wu K. Managing genomic diversity in conservation programs of Chinese domestic chickens. Genet Sel Evol 2023; 55:92. [PMID: 38097971 PMCID: PMC10722821 DOI: 10.1186/s12711-023-00866-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 12/06/2023] [Indexed: 12/17/2023] Open
Abstract
BACKGROUND Effective conservation and utilization of farm animals are fundamental for realizing sustainable increases in food production. In situ and ex situ conservation are the two main strategies that are currently used to protect the genetic integrity of Chinese domestic chicken breeds. However, genomic diversity and population structure have not been compared in these conserved populations. RESULTS Three hundred and sixty-one individuals from three Chinese domestic chicken breeds were collected from populations conserved in situ and ex situ and genotyped using genotyping-by-sequencing (GBS). First, we used different parameters based on heterozygosity, genomic inbreeding, and linkage disequilibrium to estimate the genomic diversity of these populations, and applied principal component analysis (PCA), neighbor-joining tree, and ADMIXTURE to analyze population structure. We found that the small ex situ conserved populations, which have been maintained in controlled environments, retained less genetic diversity than the in situ conserved populations. In addition, genetic differentiation was detected between the in situ and ex situ conserved populations of the same breed. Next, we analyzed signatures of selection using three statistical methods (fixation index (FST), nucleotide diversity (Pi), and cross-population extended haplotype homozygosity (XP-EHH) to study the genetic footprints that underlie the differentiation between in situ and ex situ conserved populations. We concluded that, in these small populations, differentiation might be caused by genetic drift or by mutations from the original populations. The differentiation observed in the population of Beijing You chicken probably reflects adaptation to environmental changes in temperature and humidity that the animals faced when they were moved from their place of origin to the new site for ex situ conservation. CONCLUSIONS Conservation programs of three Chinese domestic chicken breeds have maintained their genomic diversity to a sustainable degree. The small ex situ conserved populations, which are maintained in controlled environments, retain less genetic diversity than populations conserved in situ. In addition, the transfer of populations from their place of origin to another site for conservation purposes results in genetic differentiation, which may be caused by genetic drift or adaptation. This study provides a basis for further optimization of in situ and ex situ conservation programs for domestic chicken breeds in China.
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Affiliation(s)
- Mengmeng Zhang
- College of Animal Science and Technology, China Agricultural University, Beijing, 100193, People's Republic of China
- Beijing Capital Agribusiness Future Biotechnology Co., Ltd., No. 75 Bingjiaokou Hutong, Beijing, 100088, People's Republic of China
| | - Shiwei Wang
- College of Animal Science and Technology, China Agricultural University, Beijing, 100193, People's Republic of China
| | - Ran Xu
- College of Animal Science and Technology, China Agricultural University, Beijing, 100193, People's Republic of China
| | - Yijun Liu
- College of Animal Science and Technology, China Agricultural University, Beijing, 100193, People's Republic of China
- College of Animal Science, Southwest University, Chongqing, 402460, People's Republic of China
| | - Han Zhang
- College of Animal Science and Technology, China Agricultural University, Beijing, 100193, People's Republic of China
| | - Mengxia Sun
- College of Animal Science and Technology, China Agricultural University, Beijing, 100193, People's Republic of China
| | - Junyan Wang
- College of Animal Science and Technology, China Agricultural University, Beijing, 100193, People's Republic of China
| | - Zhexi Liu
- College of Animal Science and Technology, China Agricultural University, Beijing, 100193, People's Republic of China
| | - Keliang Wu
- College of Animal Science and Technology, China Agricultural University, Beijing, 100193, People's Republic of China.
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Genomic diversity and signals of selection processes in wild and farm-reared red-legged partridges (Alectoris rufa). Genomics 2023; 115:110591. [PMID: 36849018 DOI: 10.1016/j.ygeno.2023.110591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Revised: 02/18/2023] [Accepted: 02/22/2023] [Indexed: 02/27/2023]
Abstract
The genetic dynamics of wild populations with releases of farm-reared reinforcements are very complex. These releases can endanger wild populations through genetic swamping or by displacing them. We assessed the genomic differences between wild and farm-reared red-legged partridges (Alectoris rufa) and described differential selection signals between both populations. We sequenced the whole genome of 30 wild and 30 farm-reared partridges. Both partridges had similar nucleotide diversity (π). Farm-reared partridges had a more negative Tajima's D and more and longer regions of extended haplotype homozygosity than wild partridges. We observed higher inbreeding coefficients (FIS and FROH) in wild partridges. Selective sweeps (Rsb) were enriched with genes that contribute to the reproductive, skin and feather colouring, and behavioural differences between wild and farm-reared partridges. The analysis of genomic diversity should inform future decisions for the preservation of wild populations.
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Dynamic Changes in the Gut Microbiota and Metabolites during the Growth of Hainan Wenchang Chickens. Animals (Basel) 2023; 13:ani13030348. [PMID: 36766238 PMCID: PMC9913245 DOI: 10.3390/ani13030348] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 01/11/2023] [Accepted: 01/16/2023] [Indexed: 01/21/2023] Open
Abstract
Gut microbiota and their metabolites play important roles in animal growth by influencing the host's intake, storage, absorption, and utilization of nutrients. In addition to environmental factors, mainly diet, chicken breed and growth stage also affect changes in the gut microbiota. However, little research has been conducted on the development of gut microbiota and its metabolites in local chickens. In this study, the cecal microbiota and metabolites in different developmental stages of Hainan Wenchang chickens (a native breed of Bantam) were investigated using 16S rRNA sequencing and untargeted metabolomics. With aging, the structure of gut microbiota tended to be more stable. The relative proportions of dominant bacteria phyla Firmicutes, Bacteroidetes, and Proteobacteria showed stage changes with the development. With aging, gut microbiota and their metabolites may have structural and functional changes in response to nutrient metabolism and immune requirements in different physiological states. Several microbial and metabolic biomarkers with statistical differences were detected in different development stages. The bacteria that form networks with their significant related metabolites were different in various growth stages, including uncultured_bacterium_f_Ruminococcaceae, Ruminococcaceae_UCG-014, Faecalibacterium, uncultured_bacterium_o_Bacteroidales, and uncultured_bacterium_f_Lachnospiraceae. Partially differential bacteria were significantly correlated with short-chain fatty acids such as butyric acid. These findings may provide new insights into the physiological and molecular mechanisms of developmental changes of local chicken breeds, as well as resources for microbial and metabolic biomarker identification to improve growth efficiency.
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