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Bouhali A, Homrani A, Ferrand N, Lopes S, Emam AM. Assessment of genetic diversity among native Algerian rabbit populations using microsatellite markers. Arch Anim Breed 2023; 66:207-215. [PMID: 37560355 PMCID: PMC10407306 DOI: 10.5194/aab-66-207-2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Accepted: 06/26/2023] [Indexed: 08/11/2023] Open
Abstract
Having higher adaptability against abiotic stress, which is characterized in rural areas in developing countries, local farm animal genetic resources (FAGRs) are increasingly precarious for random and unsystematic crossing with exotic breeds. In this study, 85 microsatellite loci were utilized to assess genetic diversity among native Algerian rabbits (NARs) sampled from an area of 753 km (from north to south) and 919 km (from east to west). Those distances covered 25 significant geographical points in seven rural areas (El Taref, Mostaganem, Sidi Bel Abbès, M'Sila, Dar Chioukh, Faidh El Botma, and Laghouat). A total of 558 alleles were observed in this study. The highest genetic diversity was registered in the southern direction among NAR populations. The mean number of alleles per locus (MNa) and the inbreeding coefficient (F IS ) were highest in Laghouat (4.482 and 0.232), while they were lowest in El Taref (4.000 and 0.149). In the current study, the number of private alleles (Pa) ranged from 9 to 23. In addition, the average of observed heterozygosity (0.427) was lower than the expected value (0.524) due to high levels of inbreeding. The discriminant analysis of principal components (DAPC), the neighbor-joining tree (NJ), and the analysis of STRUCTURE software confirmed the classification of populations according to geographical zones into four main groups (east, west, south, and middle). The results of the current study are useful for breeding improvement and conservation plan research in relation to local animal genetic resources in Algeria.
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Affiliation(s)
- Abdelbaki Bouhali
- Laboratory of Sciences and Technics for Animal Production (LSTAP),
Department of Agronomic Sciences, Faculty of Nature Sciences and Life,
Abdelhamid Ibn Badis Mostaganem University, Mostaganem, Algeria
- École Normale Supérieur Taleb abderrahmane Laghouat, Laghouat,
4033, Algeria
| | - Abdelkader Homrani
- Laboratory of Sciences and Technics for Animal Production (LSTAP),
Department of Agronomic Sciences, Faculty of Nature Sciences and Life,
Abdelhamid Ibn Badis Mostaganem University, Mostaganem, Algeria
| | - Nuno Ferrand
- CIBIO/InBIO, Centro de Investigacao em Biodiversidade e Recursos
Geneticos, Campus Agrario de Vairao, Universidade do Porto, 4485-661,
Vairão, Portugal
- Departamento de Biologia, Faculdade de Ciencias, Universidade do
Porto, Rua do Campo Alegre s/n, 4169-007, Porto, Portugal
| | - Susana Lopes
- CIBIO/InBIO, Centro de Investigacao em Biodiversidade e Recursos
Geneticos, Campus Agrario de Vairao, Universidade do Porto, 4485-661,
Vairão, Portugal
| | - Ahmed Mostafa Emam
- Animal Production Research Institute, Agricultural Research Centre,
Ministry of Agriculture, Nadi El Saiid street, 12618, Dokkii, Giza, Egypt
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Bedhiaf-Romdhani S, Baazaoui I, Dodds KG, Brauning R, Anderson RM, Van Stijn TC, McCulloch AF, McEwan JC. Efficiency of genotyping by sequencing in inferring genomic relatedness and molecular insights into fat tail selection in Tunisian sheep. Anim Genet 2023; 54:389-397. [PMID: 36727208 DOI: 10.1111/age.13296] [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: 12/14/2022] [Revised: 12/14/2022] [Accepted: 01/12/2023] [Indexed: 02/03/2023]
Abstract
In developing countries, the use of simple and cost-efficient molecular technology is crucial for genetic characterization of local animal resources and better development of conservation strategies. The genotyping by sequencing (GBS) technique, also called restriction enzyme- reduced representational sequencing, is an efficient, cost-effective method for simultaneous discovery and genotyping of many markers. In the present study, we applied a two-enzyme GBS protocol (PstI/MspI) to discover and genotype SNP markers among 197 Tunisian sheep samples. A total of 100 333 bi-allelic SNPs were discovered and genotyped with an SNP call rate of 0.69 and mean sample depth 3.33. The genomic relatedness between 183 samples grouped the samples perfectly to their populations and pointed out a high genetic relatedness of inbred subpopulation reflecting the current adopted reproductive strategies. The genome-wide association study contrasting fat vs. thin-tailed breeds detected 41 significant variants including a peak positioned on OAR20. We identified FOXC1, GMDS, VEGFA, OXCT1, VRTN and BMP2 as the most promising for sheep tail-type trait. The GBS data have been useful to assess the population structure and improve our understanding of the genomic architecture of distinctive characteristics shaped by selection pressure in local sheep breeds. This study successfully investigates a cost-efficient method to discover genotypes, assign populations and understand insights into sheep adaptation to arid area. GBS could be of potential utility in livestock species in developing/emerging countries.
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Affiliation(s)
- Sonia Bedhiaf-Romdhani
- Laboratoire des Productions Animales et Fourragères, INRA-Tunisie, Université de Carthage, Tunis, Tunisia
| | - Imen Baazaoui
- Faculty of Sciences of Bizerte, University of Carthage, Bizerte, Tunisia
| | - Ken G Dodds
- AgResearch Limited, Invermay Agricultural Centre, Mosgiel, New Zealand
| | - Rudiger Brauning
- AgResearch Limited, Invermay Agricultural Centre, Mosgiel, New Zealand
| | - Rayna M Anderson
- AgResearch Limited, Invermay Agricultural Centre, Mosgiel, New Zealand
| | | | - Alan F McCulloch
- AgResearch Limited, Invermay Agricultural Centre, Mosgiel, New Zealand
| | - John Colin McEwan
- AgResearch Limited, Invermay Agricultural Centre, Mosgiel, New Zealand
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Comparison of sequence-capture and ddRAD approaches in resolving species and populations in hexacorallian anthozoans. Mol Phylogenet Evol 2021; 163:107233. [PMID: 34139346 DOI: 10.1016/j.ympev.2021.107233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Revised: 05/25/2021] [Accepted: 06/11/2021] [Indexed: 10/21/2022]
Abstract
Genome-level sequencing is the next step in understanding species-level relationships within Anthozoa (soft corals, anemones, stony corals, and their kin) as morphological and PCR-directed (single-locus) sequencing methods often fall short of differentiating species. The sea anemone genus Metridium is a common northern temperate sea anemone whose species are difficult to differentiate using morphology alone. Here we use Metridium as a case study to confirm the low level of information available in six loci for species differentiation commonly sequenced for Actiniaria and explore and compare the efficacy of ddRAD and sequence-capture methods in species-level systematics and biogeographic studies. We produce phylogenetic trees from concatenated datasets and perform DAPC and STRUCTURE analyses using SNP data. The six conventional loci are not able to consistently differentiate species within Metridium. The sequence-capture dataset resulted in high support and resolution for both current species and relationships between geographic areas. The ddRAD datasets displayed ambiguity among species, and support between major geographic groupings was not as high as the sequence-capture datasets. The level of resolution and support resulting from the sequence-capture data, combined with the ability to add additional individuals and expand beyond the genus Metridium over time, emphasizes the utility of sequence-capture methods for both systematics and future biogeographic studies within anthozoans. We discuss the strengths and weaknesses of the genomic approaches in light of our findings and suggest potential implications for the biogeography of Metridium based on our sampling.
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Rossetto M, Yap JYS, Lemmon J, Bain D, Bragg J, Hogbin P, Gallagher R, Rutherford S, Summerell B, Wilson TC. A conservation genomics workflow to guide practical management actions. Glob Ecol Conserv 2021. [DOI: 10.1016/j.gecco.2021.e01492] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
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Hohenlohe PA, Hand BK, Andrews KR, Luikart G. Population Genomics Provides Key Insights in Ecology and Evolution. POPULATION GENOMICS 2018. [DOI: 10.1007/13836_2018_20] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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Luikart G, Kardos M, Hand BK, Rajora OP, Aitken SN, Hohenlohe PA. Population Genomics: Advancing Understanding of Nature. POPULATION GENOMICS 2018. [DOI: 10.1007/13836_2018_60] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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