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Diniz FDA, Moura JDO, Bajay MM, Branco LC, Bezerra RD, de Araújo AM. Capra hircus outliers markers in Brazil: Searching for genomic regions under the action of natural selection. Genet Mol Biol 2023; 46:e20230084. [PMID: 37882366 PMCID: PMC10594045 DOI: 10.1590/1678-4685-gmb-2023-0084] [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: 03/22/2023] [Accepted: 08/21/2023] [Indexed: 10/27/2023] Open
Abstract
Identifying genome regions subject to selection in local breeds of Brazil is an opportunity to elucidate the C. hircus genome plasticity, flowing the colonization history of the country. Using SNP Bead Chip Illumina 50K genotyping of Brazilian Anglo-Nubian (standardized breed) and Marota (local endangered population from the semiarid area of Brazil) to show outliers loci in genome regions subject to selection. After applying data quality control, 45,600 SNPs were included in this investigation. Principal component analysis (PCAdapt) and FDIST2 analysis signalized 14 genomic regions more affected by selection in the Brazilian dry zone environment. The genome study signalized regions that are close to the sequences of genes related to growth and embryonic skeletal development (FGF12, AMPD2, OSTN). In addition, flagged regions close to the genes UTSB2 and SLC5A2 contribute to research on functional adaptation with low water needs and poor nutritive diet to survive. Both genes encode proteins that act on osmotic pathways and avoid cell flooding on stress cell responses. Further studies on the genetic role and involvement of these outliers' genomic regions, building a robust conceptual high-resolution map of natural selection drives, help to achieve hardiness candidate genes linked to the evolutionary history of Capra hircus in the semiarid area of Brazil.
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Affiliation(s)
- Francisco de A. Diniz
- Universidade Federal do Piauí, Teresina, PI, Brazil
- Instituto Federal do Piauí, Teresina, PI, Brazil
| | | | - Miklos M. Bajay
- Universidade do Estado de Santa Catarina, Laguna, SC, Brazil
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Ceccobelli S, Landi V, Senczuk G, Mastrangelo S, Sardina MT, Ben-Jemaa S, Persichilli C, Karsli T, Bâlteanu VA, Raschia MA, Poli MA, Ciappesoni G, Muchadeyi FC, Dzomba EF, Kunene NW, Lühken G, Deniskova TE, Dotsev AV, Zinovieva NA, Zsolnai A, Anton I, Kusza S, Carolino N, Santos-Silva F, Kawęcka A, Świątek M, Niżnikowski R, Špehar M, Anaya G, Granero A, Perloiro T, Cardoso P, Grande S, de Los Santos BL, Danchin-Burge C, Pasquini M, Martínez Martínez A, Delgado Bermejo JV, Lasagna E, Ciani E, Sarti FM, Pilla F. A comprehensive analysis of the genetic diversity and environmental adaptability in worldwide Merino and Merino-derived sheep breeds. Genet Sel Evol 2023; 55:24. [PMID: 37013467 PMCID: PMC10069132 DOI: 10.1186/s12711-023-00797-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 03/24/2023] [Indexed: 04/05/2023] Open
Abstract
BACKGROUND To enhance and extend the knowledge about the global historical and phylogenetic relationships between Merino and Merino-derived breeds, 19 populations were genotyped with the OvineSNP50 BeadChip specifically for this study, while an additional 23 populations from the publicly available genotypes were retrieved. Three complementary statistical tests, Rsb (extended haplotype homozygosity between-populations), XP-EHH (cross-population extended haplotype homozygosity), and runs of homozygosity (ROH) islands were applied to identify genomic variants with potential impact on the adaptability of Merino genetic type in two contrasting climate zones. RESULTS The results indicate that a large part of the Merino's genetic relatedness and admixture patterns are explained by their genetic background and/or geographic origin, followed by local admixture. Multi-dimensional scaling, Neighbor-Net, Admixture, and TREEMIX analyses consistently provided evidence of the role of Australian, Rambouillet and German strains in the extensive gene introgression into the other Merino and Merino-derived breeds. The close relationship between Iberian Merinos and other South-western European breeds is consistent with the Iberian origin of the Merino genetic type, with traces from previous contributions of other Mediterranean stocks. Using Rsb and XP-EHH approaches, signatures of selection were detected spanning four genomic regions located on Ovis aries chromosomes (OAR) 1, 6 and 16, whereas two genomic regions on OAR6, that partially overlapped with the previous ones, were highlighted by ROH islands. Overall, the three approaches identified 106 candidate genes putatively under selection. Among them, genes related to immune response were identified via the gene interaction network. In addition, several candidate genes were found, such as LEKR1, LCORL, GHR, RBPJ, BMPR1B, PPARGC1A, and PRKAA1, related to morphological, growth and reproductive traits, adaptive thermogenesis, and hypoxia responses. CONCLUSIONS To the best of our knowledge, this is the first comprehensive dataset that includes most of the Merino and Merino-derived sheep breeds raised in different regions of the world. The results provide an in-depth picture of the genetic makeup of the current Merino and Merino-derived breeds, highlighting the possible selection pressures associated with the combined effect of anthropic and environmental factors. The study underlines the importance of Merino genetic types as invaluable resources of possible adaptive diversity in the context of the occurring climate changes.
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Affiliation(s)
- Simone Ceccobelli
- Department of Agricultural, Food and Environmental Sciences, Università Politecnica delle Marche, 60131, Ancona, Italy.
| | - Vincenzo Landi
- Department of Veterinary Medicine, University of Bari ''Aldo Moro", 70010, Valenzano, Italy
| | - Gabriele Senczuk
- Department of Agricultural, Environmental and Food Sciences, University of Molise, 86100, Campobasso, Italy
| | - Salvatore Mastrangelo
- Department of Agricultural, Food and Forest Sciences, University of Palermo, 90128, Palermo, Italy
| | - Maria Teresa Sardina
- Department of Agricultural, Food and Forest Sciences, University of Palermo, 90128, Palermo, Italy
| | - Slim Ben-Jemaa
- Laboratoire des Productions Animales et Fourragères, Institut National de la Recherche Agronomique de Tunisie, Université de Carthage, 2049, Ariana, Tunisia
| | - Christian Persichilli
- Department of Agricultural, Environmental and Food Sciences, University of Molise, 86100, Campobasso, Italy
| | - Taki Karsli
- Department of Animal Science, Faculty of Agriculture, Eskisehir Osmangazi University, 26040, Eskisehir, Turkey
| | - Valentin-Adrian Bâlteanu
- Laboratory of Genomics, Biodiversity, Animal Breeding and Molecular Pathology, Institute of Life Sciences, University of Agricultural Sciences and Veterinary Medicine of Cluj-Napoca, 400372, Cluj-Napoca, Romania
| | - María Agustina Raschia
- Instituto de Genética "Ewald A. Favret", Instituto Nacional de Tecnología Agropecuaria, CICVyA-CNIA, B1686, Hurlingham, Buenos Aires, Argentina
| | - Mario Andrés Poli
- Instituto de Genética "Ewald A. Favret", Instituto Nacional de Tecnología Agropecuaria, CICVyA-CNIA, B1686, Hurlingham, Buenos Aires, Argentina
| | - Gabriel Ciappesoni
- Instituto Nacional de Investigación Agropecuaria, 90200, Canelones, Uruguay
| | | | - Edgar Farai Dzomba
- Discipline of Genetics, School of Life Sciences, University of KwaZulu-Natal, 3209, Scottsville, Pietermaritzburg, South Africa
| | | | - Gesine Lühken
- Institute of Animal Breeding and Genetics, Justus Liebig University, 35390, Giessen, Germany
| | | | | | | | - Attila Zsolnai
- Department of Animal Breeding, Institute of Animal Science, Hungarian University of Agriculture and Life Sciences, Kaposvár Campus, 2053, Herceghalom, Hungary
| | - István Anton
- Department of Animal Breeding, Institute of Animal Science, Hungarian University of Agriculture and Life Sciences, Kaposvár Campus, 2053, Herceghalom, Hungary
| | - Szilvia Kusza
- Centre for Agricultural Genomics and Biotechnology, Faculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, 4032, Debrecen, Hungary
| | - Nuno Carolino
- Instituto Nacional de Investigação Agrária e Veterinária, 2005-048, Vale de Santarém, Portugal
| | - Fátima Santos-Silva
- Instituto Nacional de Investigação Agrária e Veterinária, 2005-048, Vale de Santarém, Portugal
| | - Aldona Kawęcka
- Department of Sheep and Goat Breeding, National Research Institute of Animal Production, 32-083, Kraków, Poland
| | - Marcin Świątek
- Department of Animal Breeding, Institute of Animal Sciences, Warsaw University of Life Sciences-SGGW, 02-786, Warsaw, Poland
| | - Roman Niżnikowski
- Department of Animal Breeding, Institute of Animal Sciences, Warsaw University of Life Sciences-SGGW, 02-786, Warsaw, Poland
| | - Marija Špehar
- Croatian Agency for Agriculture and Food, 10000, Zagreb, Croatia
| | - Gabriel Anaya
- MERAGEM Group, Department of Genetics, University of Córdoba, 14071, Córdoba, Spain
| | - Antonio Granero
- Asociación Nacional de Criadores de Ganado Merino (ACME), 28028, Madrid, Spain
| | - Tiago Perloiro
- Associação Nacional de Criadores de Ovinos da Raça Merina (ANCORME), 7005-665, Évora, Portugal
| | - Pedro Cardoso
- Associação de Produtores Agropecuários (OVIBEIRA), 6000-244, Castelo Branco, Portugal
| | - Silverio Grande
- Associazione Nazionale della Pastorizia (ASSONAPA), 00187, Rome, Italy
| | | | | | - Marina Pasquini
- Department of Agricultural, Food and Environmental Sciences, Università Politecnica delle Marche, 60131, Ancona, Italy
| | | | | | - Emiliano Lasagna
- Department of Agricultural, Food and Environmental Sciences, University of Perugia, 06121, Perugia, Italy
| | - Elena Ciani
- Department of Bioscience, Biotechnology and Biopharmaceutics, University of Bari "Aldo Moro", 70124, Bari, Italy
| | - Francesca Maria Sarti
- Department of Agricultural, Food and Environmental Sciences, University of Perugia, 06121, Perugia, Italy
| | - Fabio Pilla
- Department of Agricultural, Environmental and Food Sciences, University of Molise, 86100, Campobasso, Italy
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Gaspar D, Usié A, Leão C, Guimarães S, Pires AE, Matos C, Ramos AM, Ginja C. Genome-wide assessment of the population structure and genetic diversity of four Portuguese native sheep breeds. Front Genet 2023; 14:1109490. [PMID: 36713074 PMCID: PMC9880275 DOI: 10.3389/fgene.2023.1109490] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Accepted: 01/02/2023] [Indexed: 01/15/2023] Open
Abstract
As the effects of global warming become increasingly complex and difficult to manage, the conservation and sustainable use of locally adapted sheep breeds are gaining ground. Portuguese native sheep breeds are important reservoirs of genetic diversity, highly adapted to harsh environments and reared in low input production systems. Genomic data that would describe the breeds in detail and accelerate the selection of more resilient animals to be able to cope with climatic challenges are still lacking. Here, we sequenced the genomes of 37 animals from four Portuguese native sheep breeds (Campaniça, Bordaleira Serra da Estrela, Merino Branco and Merino Preto) and 19 crossbred sheep to make inferences on their genomic diversity and population structure. Mean genomic diversities were very similar across these breeds (.30 ≤ Ho ≤ .34; .30 ≤ He ≤ .35; 1.7 × 10-3 ≤ π ≤ 3.1 × 10-3) and the levels of inbreeding were negligible (.005 ≤ FIS ≤ .038). The Principal Components, Bayesian clustering and Treemix analyses split the Portuguese breeds in two main groups which are consistent with historical records: one comprising Campaniça and Serra da Estrela together with other European and transboundary dairy breeds; and another of the well-differentiated multi-purpose Merino and Merino-related breeds. Runs of homozygosity analyses yielded 1,690 ROH segments covering an average of 2.27 Gb across the genome in all individuals. The overall genome covered by ROH segments varied from 27,75 Mb in Serra da Estrela to 61,29 Mb in Campaniça. The phylogenetic analysis of sheep mitogenomes grouped the Portuguese native breeds within sub-haplogroup B1a along with two animals of the Akkaraman breed from Turkey. This result provides additional support to a direct influence of Southwest Asian sheep in local breeds from the Iberian Peninsula. Our study is a first step pertaining to the genomic characterization of Portuguese sheep breeds and the results emphasize the potential of genomic data as a valid tool to guide conservation efforts in locally adapted sheep breeds. In addition, the genomic data we generated can be used to identify markers for breed assignment and traceability of certified breed-products.
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Affiliation(s)
- Daniel Gaspar
- Centro de Biotecnologia Agrícola e Agro-Alimentar do Alentejo (CEBAL), Instituto Politécnico de Beja (IPBeja), Beja, Portugal,BIOPOIS/CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Vairão, Portugal,*Correspondence: Daniel Gaspar, ; Catarina Ginja,
| | - Ana Usié
- Centro de Biotecnologia Agrícola e Agro-Alimentar do Alentejo (CEBAL), Instituto Politécnico de Beja (IPBeja), Beja, Portugal,MED—Mediterranean Institute for Agriculture, Environment and Development, Évora, Portugal
| | - Célia Leão
- Centro de Biotecnologia Agrícola e Agro-Alimentar do Alentejo (CEBAL), Instituto Politécnico de Beja (IPBeja), Beja, Portugal,MED—Mediterranean Institute for Agriculture, Environment and Development, Évora, Portugal
| | - Sílvia Guimarães
- BIOPOIS/CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Vairão, Portugal
| | - Ana Elisabete Pires
- BIOPOIS/CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Vairão, Portugal,Faculdade de Medicina Veterinária, Universidade Lusófona, Lisboa, Portugal
| | | | - António Marcos Ramos
- Centro de Biotecnologia Agrícola e Agro-Alimentar do Alentejo (CEBAL), Instituto Politécnico de Beja (IPBeja), Beja, Portugal,MED—Mediterranean Institute for Agriculture, Environment and Development, Évora, Portugal
| | - Catarina Ginja
- BIOPOIS/CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Vairão, Portugal,*Correspondence: Daniel Gaspar, ; Catarina Ginja,
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Machová K, Marina H, Arranz JJ, Pelayo R, Rychtářová J, Milerski M, Vostrý L, Suárez-Vega A. Genetic diversity of two native sheep breeds by genome-wide analysis of single nucleotide polymorphisms. Animal 2023; 17:100690. [PMID: 36566708 DOI: 10.1016/j.animal.2022.100690] [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: 08/31/2022] [Revised: 11/22/2022] [Accepted: 11/24/2022] [Indexed: 12/05/2022] Open
Abstract
Wallachian and Sumava sheep are autochthonous breeds that have undergone a significant bottleneck effect and subsequent restoration efforts. The first objective of this study was to evaluate the degree of genetic variability of both breeds and, therefore, the current management of the breeding. The second was to determine whether these two breeds still retain their genetic uniqueness in relation to each other and other breeds, despite regenerative interventions. Our data consisted of 48 individuals of Sumava and 37 individuals of Wallachian sheep. The comparison data contained 25 other breeds (primarily European) from the HapMap dataset generated by the International Sheep Genomics Consortium. When comparing all 27 breeds, the Czech breeds clustered with 15 other breeds and formed a single branch with them according to Nei's distances. At the same time, however, the clusters of both breeds were integral and easily distinguishable from the others when displayed with principal component analysis (PCA). Population substructure analysis did not show any common genetic ancestry of the Czech national breeds and breeds used for regeneration or, eventually, breeds whose ancestral population was used for regeneration. The average values of FST were higher in Wallachian sheep (FST = 0.14) than in Sumava sheep (FST = 0.08). The linkage disequilibrium (LD) extension per autosome was higher in Wallachian than in Sumava sheep. Consequently, the Ne estimates five generations ago were 68 for Sumava versus 34 for Wallachian sheep. Both native Czech breeds exhibit a wide range of inbreeding based on the excess of homozygosity (FHOM) among individuals, from -0.04 to 0.16 in Sumava and from -0.13 to 0.12 in Wallachian. Average inbreeding based on runs of homozygosity was 0.21 in Sumava and 0.27 in Wallachian. Most detected runs of homozygosity (ROH) were less than 5 Mb long for both breeds. ROH segments longer than 15 Mb were absent in Wallachian sheep. Concerning putative selection signatures, a total of 471 candidate genes in Wallachian sheep within 11 hotspots and 653 genes within 13 hotspots in Sumava sheep were identified. Czech breeds appear to be well differentiated from each other and other European breeds. Their genetic diversity is low, especially in the case of the Wallachian breed. Sumava is not so threatened by low diversity but has a larger share of the non-native gene pool.
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Affiliation(s)
- Karolína Machová
- Department of Genetics and Breeding, Czech University of Life Sciences (CZU), Prague, Czech Republic, Faculty of Agrobiology, Food and Natural Resources, Kamýcká 129, 165 00 Praha, Suchdol, Czech Republic.
| | - Héctor Marina
- Department of Animal Production, University of Leon, Leon, Spain, Veterinary Faculty, Campus de Vegazana, s/n, 24071 Leon, Spain
| | - Juan Jose Arranz
- Department of Animal Production, University of Leon, Leon, Spain, Veterinary Faculty, Campus de Vegazana, s/n, 24071 Leon, Spain
| | - Rocío Pelayo
- Department of Animal Production, University of Leon, Leon, Spain, Veterinary Faculty, Campus de Vegazana, s/n, 24071 Leon, Spain
| | - Jana Rychtářová
- Institute of Animal Science, Prague, Czech republic, Přátelství 815, 104 00 Praha, Uhříněves, Czech Republic
| | - Michal Milerski
- Institute of Animal Science, Prague, Czech republic, Přátelství 815, 104 00 Praha, Uhříněves, Czech Republic
| | - Luboš Vostrý
- Department of Genetics and Breeding, Czech University of Life Sciences (CZU), Prague, Czech Republic, Faculty of Agrobiology, Food and Natural Resources, Kamýcká 129, 165 00 Praha, Suchdol, Czech Republic
| | - Aroa Suárez-Vega
- Department of Animal Production, University of Leon, Leon, Spain, Veterinary Faculty, Campus de Vegazana, s/n, 24071 Leon, Spain
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New Insight into the Genome-Wide Diversity and Admixture of Six Colombian Sheep Populations. Genes (Basel) 2022; 13:genes13081415. [PMID: 36011325 PMCID: PMC9407362 DOI: 10.3390/genes13081415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 07/31/2022] [Accepted: 08/05/2022] [Indexed: 11/17/2022] Open
Abstract
Creole sheep represent a strategic genetic resource for populations living in marginal areas under financial restrictions on the American continent. Six Colombian sheep breeds (two wool (BCL-Boyacá and NCL-Nariño, 12 and 14 samples) and four hair (OPCE-Ethiopian, 54 samples; OPCS-Sudan, 74 samples; OPCP-Pelibeuy, 59 samples; OPCW-Wayúu, 24 samples) were genotyped using the Illumina Ovine SNP50 BeadChip. Data was also included from international 44 breeds from International Sheep Genomics Consortium (ISGC) and from data published in previous a previous work on the Caribbean and African breeds. Although geographically separated, wool (NCL, BCL) and hair types (OPCE, OPCS, OPCW) presented little genetic differentiation (FST 0.05) at a global level but several groups of animals separated suggesting local clustering due to geographical isolation. The OPCP underwent a recent crossing with Mexican Pelibuey, explaining its differentiation. Findings in this work such as the proximity to West African Djallonké (WAD) and Barbados Black Belly (BBB), suggest different introductions of African type animals from the Caribbean region on a pre-existing genetic basis formed by animals deriving from the first importations coming from Europe in colonial times. As expected, Colombian wool breeds showed, in particular in Admixture software results, a greater genomic component in common with European breeds and in particular with Iberian ones (Churra). This study provides a basis for future research into the genetic diversity within and between the Colombian sheep breeds analysed, and scientific data for policy decisions on Farm Animal Genetic Resources (FAnGR).
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Wilson CS, Petersen JL, Blackburn HD, Lewis RM. Assessing Population Structure and Genetic Diversity in U.S. Suffolk Sheep to Define a Framework for Genomic Selection. J Hered 2022; 113:431-443. [PMID: 35575262 DOI: 10.1093/jhered/esac026] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Accepted: 05/13/2022] [Indexed: 11/13/2022] Open
Abstract
Long-term sustainability of breeds depends on having sufficient genetic diversity for adaptability to change, whether driven by climatic conditions or by priorities in breeding programs. Genetic diversity in Suffolk sheep in the U.S. was evaluated in four ways: 1) using genetic relationships from pedigree data [(n=64,310 animals recorded in the U.S. National Sheep Improvement Program (NSIP)]; 2) using molecular data (n=304 Suffolk genotyped with the OvineHD BeadChip); 3) comparing Australian (n=109) and Irish (n=55) Suffolk sheep to those in the U.S. using molecular data; and 4) assessing genetic relationships (connectedness) among active Suffolk flocks (n=18) in NSIP. By characterizing genetic diversity, a goal was to define the structure of a reference population for use for genomic selection strategies in this breed. Pedigree-based mean inbreeding level for the most recent year of available data was 5.5%. Ten animals defined 22.8% of the current gene pool. The effective population size (Ne) ranged from 27.5 to 244.2 based on pedigree and was 79.5 based on molecular data. Expected (HE) and observed (HO) heterozygosity were 0.317 and 0.306, respectively. Model-based population structure included 7 subpopulations. From Principal Component Analysis, countries separated into distinct populations. Within the U.S. population, flocks formed genetically disconnected clusters. A decline in genetic diversity over time was observed from both pedigree and genomic-based derived measures with evidence of population substructure as measured by FST. Using these measures of genetic diversity, a framework for establishing a genomic reference population in U.S. Suffolk sheep engaged in NSIP was proposed.
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Affiliation(s)
- Carrie S Wilson
- USDA, ARS, National Animal Germplasm Program, Fort Collins, CO.,Colorado State University, Dept. of Animal Science, Fort Collins, CO
| | | | | | - Ronald M Lewis
- University of Nebraska-Lincoln, Dept. of Animal Science, Lincoln, NE
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Malatji DP. Breeding of African sheep reared under low-input/output smallholder production systems for trypanotolerance. Vet World 2022; 15:1031-1043. [PMID: 35698514 PMCID: PMC9178589 DOI: 10.14202/vetworld.2022.1031-1043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 03/11/2022] [Indexed: 11/30/2022] Open
Abstract
Trypanosomiasis is a disease caused by unicellular protozoan parasites. Small ruminants succumb to trypanosomiasis in areas of high tsetse fly challenge, resulting in serious economic loss often to farmers in low-input smallholder systems. At present, trypanosomiasis is treated with trypanocidal drugs, but access to these can be limited, and increasing parasite resistance raises questions about their efficacy. The development of trypanotolerance in small ruminant flocks through targeted breeding strategies is considered a sustainable and economical option for controlling African trypanosomiasis. Recently, quantitative trait loci (QTLs) associated with trypanotolerance traits in sheep have been reported. The results of these studies form the basis for more studies to identify QTLs associated with trypanosomiasis resistance, particularly in African livestock species. For example, signatures of positive selection for trypanotolerance have been identified using genome-wide single-nucleotide polymorphism data. However, there are several challenges in performing genetic analyses using data from low-input smallholder systems, including a lack of recorded pedigree and production records and the need for large sample sizes when flock sizes are often fewer than 50 animals. Breeding strategies to improve trypanotolerance should also preserve existing genetic diversity as well as minimize excessive genetic introgression by trypanosusceptible breeds. This review discusses the possibilities of breeding for trypanosome tolerance/resistance in low-input/low-output small ruminant production systems. Potential challenges are outlined, and potential available genetic resources are described as a foundation for future work.
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Affiliation(s)
- Dikeledi P. Malatji
- Department of Agriculture and Animal Health, College of Agriculture and Environmental Sciences, University of South Africa, Johannesburg, Gauteng Province, South Africa
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Gurgul A, Jasielczuk I, Miksza-Cybulska A, Kawęcka A, Szmatoła T, Krupiński J. Evaluation of genetic differentiation and genome-wide selection signatures in Polish local sheep breeds. Livest Sci 2021. [DOI: 10.1016/j.livsci.2021.104635] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Saravanan K, Panigrahi M, Kumar H, Bhushan B, Dutt T, Mishra B. Genome-wide analysis of genetic diversity and selection signatures in three Indian sheep breeds. Livest Sci 2021. [DOI: 10.1016/j.livsci.2020.104367] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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Xiong H, He X, Li J, Liu X, Peng C, Xi D, Deng W. Genetic diversity and genetic origin of Lanping black-boned sheep investigated by genome-wide single-nucleotide polymorphisms (SNPs). Arch Anim Breed 2020; 63:193-201. [PMID: 32760786 PMCID: PMC7397722 DOI: 10.5194/aab-63-193-2020] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2019] [Accepted: 05/26/2020] [Indexed: 11/11/2022] Open
Abstract
Lanping black-boned sheep was first discovered in the 1950s in Lanping county of China and characterized by black pigmentation on skin and internal organs. Due to the novel and unique trait, the genetic background of Lanping black-boned sheep is of great interest. Here, we genotyped genome-wide SNPs (single nucleotide polymorphisms) of Lanping black-boned sheep and Lanping normal sheep using Illumina OvineSNP50 BeadChip to investigate the genetic diversity and genetic origin of Lanping black-boned sheep. We also downloaded a subset SNP dataset of two Tibet-lineage sheep breeds and four other sheep breeds from the International Sheep Genomics Consortium (ISGC) as a reference for interpreting. Lanping black-boned sheep had a lower genetic diversity level when compared to seven other sheep breeds. Principal component analysis (PCA) showed that Lanping black-boned sheep and Lanping normal sheep were clustered into the Asian group, but there was no clear separation between the two breeds. Structure analysis demonstrated a high ancestry coefficient in Lanping black-boned sheep and Lanping normal sheep. However, the two populations were separated into two distinct branches in a neighbor-joining (NJ) tree. We further evaluated the genetic divergence using population F ST , which showed that the genetic differentiation that existed between Lanping black-boned sheep and Lanping normal sheep was higher than that between Tibet sheep and Changthangi sheep, which revealed that Lanping black-boned sheep is a different breed from Lanping normal sheep on the genetic level. In addition, structure analysis and NJ tree showed that Lanping black-boned sheep had a relatively close relation with Tibet sheep. The results reported herein are a first step toward understanding the genetic background of Lanping black-boned sheep, and it will provide informative knowledge on the unique genetic resource conservation and mechanism of novel breed formation.
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Affiliation(s)
- Heli Xiong
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, People's Republic of China.,Yunnan Animal Science and Veterinary Institute, Kunming 650224, People's Republic of China
| | - Xiaoming He
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, People's Republic of China
| | - Jing Li
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, People's Republic of China.,Yunnan Kunming Police Dog Base of Ministry of Public Security, Kunming 650201, People's Republic of China
| | - Xingneng Liu
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, People's Republic of China
| | - Chaochao Peng
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, People's Republic of China
| | - Dongmei Xi
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, People's Republic of China
| | - Weidong Deng
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, People's Republic of China
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12
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Yang Z, Zhang J, Zhang J, Tao R, Ren W, Zhang J, Dong J, Li C, Zhang S. Genetic characterization of four dog breeds with Illumina CanineHD BeadChip. Forensic Sci Res 2020; 4:354-357. [PMID: 32232181 PMCID: PMC7100786 DOI: 10.1080/20961790.2019.1614292] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2018] [Revised: 04/11/2019] [Accepted: 04/30/2019] [Indexed: 11/16/2022] Open
Affiliation(s)
- Zihao Yang
- Department of Forensic Medicine, School of Basic Medical Science, Wenzhou Medical University, Wenzhou, China.,Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Sciences, Ministry of Justice, P.R. China, Shanghai, China
| | - Jingyi Zhang
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Sciences, Ministry of Justice, P.R. China, Shanghai, China.,Department of Forensic Science, Medical School of Soochow University, Suzhou, China
| | - Jiashuo Zhang
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Sciences, Ministry of Justice, P.R. China, Shanghai, China.,Department of Forensic Science, Medical School of Soochow University, Suzhou, China
| | - Ruiyang Tao
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Sciences, Ministry of Justice, P.R. China, Shanghai, China.,Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China
| | - Wei Ren
- Criminal Police Detachment of Qingdao Public Security Bureau, Qingdao, China
| | - Jie Zhang
- Criminal Police Detachment of Qingdao Public Security Bureau, Qingdao, China
| | - Jilin Dong
- Criminal Police Detachment of Qingdao Public Security Bureau, Qingdao, China
| | - Chengtao Li
- Department of Forensic Medicine, School of Basic Medical Science, Wenzhou Medical University, Wenzhou, China.,Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Sciences, Ministry of Justice, P.R. China, Shanghai, China.,Department of Forensic Science, Medical School of Soochow University, Suzhou, China.,Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China
| | - Suhua Zhang
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Sciences, Ministry of Justice, P.R. China, Shanghai, China
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13
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Conservation genetic analysis of a Central-European range-margin population of the yellow-bellied toad (Bombina v. variegata). CONSERV GENET 2019. [DOI: 10.1007/s10592-019-01156-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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14
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Berihulay H, Li Y, Liu X, Gebreselassie G, Islam R, Liu W, Jiang L, Ma Y. Genetic diversity and population structure in multiple Chinese goat populations using a SNP panel. Anim Genet 2019; 50:242-249. [PMID: 30883837 DOI: 10.1111/age.12776] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/16/2019] [Indexed: 11/30/2022]
Abstract
Information about genetic diversity and population structure among goat breeds is essential for genetic improvement, understanding of environmental adaptation as well as utilization and conservation of goat breeds. Here, we measured genetic diversity and population structure in multiple Chinese goat populations, namely, Nanjiang, Qinggeda, Arbas Cashmere, Jining Grey, Luoping Yellow and Guangfeng goats. A total of 193 individuals were genotyped for about 47 401 autosomal single nucleotide polymorphisms (SNPs). We found a high proportion of informative SNPs, ranging from 69.5% in the Luoping Yellow to 93.9% in the Jining Grey goat breeds with an average mean of 84.7%. Diversity, as measured by expected heterozygosity, ranged from 0.371 in Luoping Yellow to 0.405 in Jining Grey goat populations. The average estimated pair-wise genetic differentiation (FST ) among the populations was 8.6%, ranging from 0.2% to 16% and indicating low to moderate genetic differentiation. Principal component analysis, genetic structure and phylogenetic tree analysis revealed a clustering of six Chinese goat populations according to geographic distribution. The results from this study can contribute valuable genetic information and can properly assist with within-breed diversity, which provides a good opportunity for sustainable utilization of and maintenance of genetic resource improvements in the Chinese goat populations.
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Affiliation(s)
- H Berihulay
- Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100193, China.,The Key Laboratory for Farm Animal Genetic Resources and Utilization of Ministry of Agriculture of China, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100193, China
| | - Y Li
- Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100193, China.,The Key Laboratory for Farm Animal Genetic Resources and Utilization of Ministry of Agriculture of China, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100193, China
| | - X Liu
- Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100193, China.,The Key Laboratory for Farm Animal Genetic Resources and Utilization of Ministry of Agriculture of China, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100193, China
| | - G Gebreselassie
- Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100193, China.,The Key Laboratory for Farm Animal Genetic Resources and Utilization of Ministry of Agriculture of China, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100193, China
| | - R Islam
- Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100193, China.,The Key Laboratory for Farm Animal Genetic Resources and Utilization of Ministry of Agriculture of China, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100193, China
| | - W Liu
- Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100193, China.,The Key Laboratory for Farm Animal Genetic Resources and Utilization of Ministry of Agriculture of China, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100193, China
| | - L Jiang
- Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100193, China.,The Key Laboratory for Farm Animal Genetic Resources and Utilization of Ministry of Agriculture of China, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100193, China
| | - Y Ma
- Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100193, China.,The Key Laboratory for Farm Animal Genetic Resources and Utilization of Ministry of Agriculture of China, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100193, China
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15
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Genetic diversity and population structure of African village dogs based on microsatellite and immunity-related molecular markers. PLoS One 2018; 13:e0199506. [PMID: 29940023 PMCID: PMC6016929 DOI: 10.1371/journal.pone.0199506] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2017] [Accepted: 06/10/2018] [Indexed: 11/19/2022] Open
Abstract
The village and street dogs represent a unique model of canine populations. In the absence of selective breeding and veterinary care, they are subject mostly to natural selection. Their analyses contribute to understanding general mechanisms governing the genetic diversity, evolution and adaptation. In this study, we analyzed the genetic diversity and population structure of African village dogs living in villages in three different geographical areas in Northern Kenya. Data obtained for neutral microsatellite molecular markers were compared with those computed for potentially non-neutral markers of candidate immunity-related genes. The neutral genetic diversity was similar to other comparable village dog populations studied so far. The overall genetic diversity in microsatellites was higher than the diversity of European pure breeds, but it was similar to the range of diversity observed in a group composed of many European breeds, indicating that the African population has maintained a large proportion of the genetic diversity of the canine species as a whole. Microsatellite marker diversity indicated that the entire population is subdivided into three genetically distinct, although closely related subpopulations. This genetical partitioning corresponded to their geographical separation and the observed gene flow well correlated with the communication patterns among the three localities. In contrast to neutral microsatellites, the genetic diversity in immunity-related candidate SNP markers was similar across all three subpopulations and to the European group. It seems that the genetic structure of this particular population of Kenyan village dogs is mostly determined by geographical and anthropogenic factors influencing the gene flow between various subpopulations rather than by biological factors, such as genetic contribution of original migrating populations and/or the pathogen-mediated selection. On the other hand, the study of oldest surviving dogs suggested a biological mechanism, i.e. a possible advantage of the overal heterozygosity marked by the the microsatellite loci analyzed.
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16
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Genotyping-by-sequencing performance in selected livestock species. Genomics 2018; 111:186-195. [PMID: 29427639 DOI: 10.1016/j.ygeno.2018.02.002] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2017] [Revised: 01/24/2018] [Accepted: 02/06/2018] [Indexed: 12/16/2022]
Abstract
Application of next generation sequencing for large scale genotyping in livestock is limited by high costs and challenging data analysis process. However, available restriction enzyme-based enrichment techniques like e.g. genotyping-by-sequencing (GBS) are promising tools allowing reduction of financial outlies by a high sample multiplexing and narrowing down the sequenced genome areas to the randomly distributed read tags. In this study, we tested the performance of standard, PstI endonuclease-adapted GBS protocol for population genetics in cattle, horse and sheep with application of different, including low-depth sequencing setups. It was found that the detected SNPs display desirable polymorphism parameters and are evenly scattered across the whole genome including gene coding regions. It was also shown that the SNPs can be successfully applied in population genetics, revealing the genetic differentiation of the studied breeds. The GBS approach represents a cost-effective alternative to existing genotyping methods which may find adoption in various research applications.
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17
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Edea Z, Dessie T, Dadi H, Do KT, Kim KS. Genetic Diversity and Population Structure of Ethiopian Sheep Populations Revealed by High-Density SNP Markers. Front Genet 2017; 8:218. [PMID: 29312441 PMCID: PMC5744078 DOI: 10.3389/fgene.2017.00218] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2017] [Accepted: 12/05/2017] [Indexed: 11/13/2022] Open
Abstract
Sheep in Ethiopia are adapted to a wide range of environments, including extreme habitats. Elucidating their genetic diversity is critical for improving breeding strategies and mapping quantitative trait loci associated with productivity. To this end, the present study investigated the genetic diversity and population structure of five Ethiopian sheep populations exhibiting distinct phenotypes and sampled from distinct production environments, including arid lowlands and highlands. To investigate the genetic relationships in greater detail and infer population structure of Ethiopian sheep breeds at the continental and global levels, we analyzed genotypic data of selected sheep breeds from the Ovine SNP50K HapMap dataset. All Ethiopian sheep samples were genotyped with Ovine Infinium HD SNP BeadChip (600K). Mean genetic diversity ranged from 0.29 in Arsi-Bale to 0.32 in Menz sheep, while estimates of genetic differentiation among populations ranged from 0.02 to 0.07, indicating low to moderate differentiation. An analysis of molecular variance revealed that 94.62 and 5.38% of the genetic variation was attributable to differences within and among populations, respectively. Our population structure analysis revealed clustering of five Ethiopian sheep populations according to tail phenotype and geographic origin-i.e., short fat-tailed (very cool high-altitude), long fat-tailed (mid to high-altitude), and fat-rumped (arid low-altitude), with clear evidence of admixture between long fat-tailed populations. North African sheep breeds showed higher levels of within-breed diversity, but were less differentiated than breeds from Eastern and Southern Africa. When African breeds were grouped according to geographic origin (North, South, and East), statistically significant differences were detected among groups (regions). A comparison of population structure between Ethiopian and global sheep breeds showed that fat-tailed breeds from Eastern and Southern Africa clustered together, suggesting that these breeds were introduced to the African continent via the Horn and migrated further south.
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Affiliation(s)
- Zewdu Edea
- Department of Animal Science, Chungbuk National University, Cheongju, South Korea
| | - Tadelle Dessie
- International Livestock Research Institute, Addis Ababa, Ethiopia
| | - Hailu Dadi
- Ethiopian Biotechnology Institute, Addis Ababa, Ethiopia
| | - Kyoung-Tag Do
- Department of Animal Biotechnology, Faculty of Biotechnology, Jeju National University, Jeju, South Korea
| | - Kwan-Suk Kim
- Department of Animal Science, Chungbuk National University, Cheongju, South Korea
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