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Kierkegaard LS, Groeneveld LF, Kettunen A, Berg P. The status and need for characterization of Nordic animal genetic resources. ACTA AGR SCAND A-AN 2020. [DOI: 10.1080/09064702.2020.1722216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Affiliation(s)
| | | | - Anne Kettunen
- Farm Animal Section, NordGen – The Nordic Genetic Resource Center, Ås, Norway
- Nofima AS, Ås, Norway
| | - Peer Berg
- Farm Animal Section, NordGen – The Nordic Genetic Resource Center, Ås, Norway
- Department of Animal and Aquacultural Sciences, Norwegian University of Life Sciences, Ås, Norway
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Özdemir D, Özdemir ED, Marchi MD, Cassandro M. Conservation of Local Turkish and Italian Chicken Breeds: A Case Study. ITALIAN JOURNAL OF ANIMAL SCIENCE 2016. [DOI: 10.4081/ijas.2013.e49] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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Schmid M, Smith J, Burt DW, Aken BL, Antin PB, Archibald AL, Ashwell C, Blackshear PJ, Boschiero C, Brown CT, Burgess SC, Cheng HH, Chow W, Coble DJ, Cooksey A, Crooijmans RPMA, Damas J, Davis RVN, de Koning DJ, Delany ME, Derrien T, Desta TT, Dunn IC, Dunn M, Ellegren H, Eöry L, Erb I, Farré M, Fasold M, Fleming D, Flicek P, Fowler KE, Frésard L, Froman DP, Garceau V, Gardner PP, Gheyas AA, Griffin DK, Groenen MAM, Haaf T, Hanotte O, Hart A, Häsler J, Hedges SB, Hertel J, Howe K, Hubbard A, Hume DA, Kaiser P, Kedra D, Kemp SJ, Klopp C, Kniel KE, Kuo R, Lagarrigue S, Lamont SJ, Larkin DM, Lawal RA, Markland SM, McCarthy F, McCormack HA, McPherson MC, Motegi A, Muljo SA, Münsterberg A, Nag R, Nanda I, Neuberger M, Nitsche A, Notredame C, Noyes H, O'Connor R, O'Hare EA, Oler AJ, Ommeh SC, Pais H, Persia M, Pitel F, Preeyanon L, Prieto Barja P, Pritchett EM, Rhoads DD, Robinson CM, Romanov MN, Rothschild M, Roux PF, Schmidt CJ, Schneider AS, Schwartz MG, Searle SM, Skinner MA, Smith CA, Stadler PF, Steeves TE, Steinlein C, Sun L, Takata M, Ulitsky I, Wang Q, Wang Y, et alSchmid M, Smith J, Burt DW, Aken BL, Antin PB, Archibald AL, Ashwell C, Blackshear PJ, Boschiero C, Brown CT, Burgess SC, Cheng HH, Chow W, Coble DJ, Cooksey A, Crooijmans RPMA, Damas J, Davis RVN, de Koning DJ, Delany ME, Derrien T, Desta TT, Dunn IC, Dunn M, Ellegren H, Eöry L, Erb I, Farré M, Fasold M, Fleming D, Flicek P, Fowler KE, Frésard L, Froman DP, Garceau V, Gardner PP, Gheyas AA, Griffin DK, Groenen MAM, Haaf T, Hanotte O, Hart A, Häsler J, Hedges SB, Hertel J, Howe K, Hubbard A, Hume DA, Kaiser P, Kedra D, Kemp SJ, Klopp C, Kniel KE, Kuo R, Lagarrigue S, Lamont SJ, Larkin DM, Lawal RA, Markland SM, McCarthy F, McCormack HA, McPherson MC, Motegi A, Muljo SA, Münsterberg A, Nag R, Nanda I, Neuberger M, Nitsche A, Notredame C, Noyes H, O'Connor R, O'Hare EA, Oler AJ, Ommeh SC, Pais H, Persia M, Pitel F, Preeyanon L, Prieto Barja P, Pritchett EM, Rhoads DD, Robinson CM, Romanov MN, Rothschild M, Roux PF, Schmidt CJ, Schneider AS, Schwartz MG, Searle SM, Skinner MA, Smith CA, Stadler PF, Steeves TE, Steinlein C, Sun L, Takata M, Ulitsky I, Wang Q, Wang Y, Warren WC, Wood JMD, Wragg D, Zhou H. Third Report on Chicken Genes and Chromosomes 2015. Cytogenet Genome Res 2015; 145:78-179. [PMID: 26282327 PMCID: PMC5120589 DOI: 10.1159/000430927] [Show More Authors] [Citation(s) in RCA: 62] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Affiliation(s)
- Michael Schmid
- Department of Human Genetics, University of Würzburg, Würzburg, Germany
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Mekchay S, Supakankul P, Assawamakin A, Wilantho A, Chareanchim W, Tongsima S. Population structure of four Thai indigenous chicken breeds. BMC Genet 2014; 15:40. [PMID: 24674423 PMCID: PMC3986817 DOI: 10.1186/1471-2156-15-40] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2013] [Accepted: 03/10/2014] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND In recent years, Thai indigenous chickens have increasingly been bred as an alternative in Thailand poultry market. Due to their popularity, there is a clear need to improve the underlying quality and productivity of these chickens. Studying chicken genetic variation can improve the chicken meat quality as well as conserving rare chicken species. To begin with, a minimal set of molecular markers that can characterize the Thai indigenous chicken breeds is required. RESULTS Using AFLP-PCR, 30 single nucleotide polymorphisms (SNPs) from Thai indigenous chickens were obtained by DNA sequencing. From these SNPs, we genotyped 465 chickens from 7 chicken breeds, comprising four Thai indigenous chicken breeds--Pradhuhangdum (PD), Luenghangkhao (LK), Dang (DA) and Chee (CH), one wild chicken--the red jungle fowls (RJF), and two commercial chicken breeds--the brown egg layer (BL) and commercial broiler (CB). The chicken genotypes reveal unique genetic structures of the four Thai indigenous chicken breeds. The average expected heterozygosities of PD=0.341, LK=0.357, DA=0.349 and CH=0.373, while the references RJF= 0.327, CB=0.324 and BL= 0.285. The F(ST) values among Thai indigenous chicken breeds vary from 0.051 to 0.096. The F(ST) values between the pairs of Thai indigenous chickens and RJF vary from 0.083 to 0.105 and the FST values between the Thai indigenous chickens and the two commercial chicken breeds vary from 0.116 to 0.221. A neighbour-joining tree of all individual chickens showed that the Thai indigenous chickens were clustered into four groups which were closely related to the wild RJF but far from the commercial breeds. Such commercial breeds were split into two closely groups. Using genetic admixture analysis, we observed that the Thai indigenous chicken breeds are likely to share common ancestors with the RJF, while both commercial chicken breeds share the same admixture pattern. CONCLUSION These results indicated that the Thai indigenous chicken breeds may descend from the same ancestors. These indigenous chicken breeds were more closely related to red jungle fowls than those of the commercial breeds. These findings showed that the proposed SNP panel can effectively be used to characterize the four Thai indigenous chickens.
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Affiliation(s)
- Supamit Mekchay
- Department of Animal and Aquatic Sciences, Faculty of Agriculture, Chiang Mai University, Chiang Mai 50200, Thailand.
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The application of genome-wide SNP genotyping methods in studies on livestock genomes. J Appl Genet 2014; 55:197-208. [PMID: 24566962 DOI: 10.1007/s13353-014-0202-4] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2013] [Revised: 01/14/2014] [Accepted: 02/04/2014] [Indexed: 01/07/2023]
Abstract
Animal genomics is currently undergoing dynamic development, which is driven by the flourishing of high-throughput genome analysis methods. Recently, a large number of animals has been genotyped with the use of whole-genome genotyping assays in the course of genomic selection programmes. The results of such genotyping can also be used for studies on different aspects of livestock genome functioning and diversity. In this article, we review the recent literature concentrating on various aspects of animal genomics, including studies on linkage disequilibrium, runs of homozygosity, selection signatures, copy number variation and genetic differentiation of animal populations. Our work is aimed at providing insight into certain achievements of animal genomics and to arouse interest in basic research on the complexity and structure of the genomes of livestock.
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Phylogenetic Analysis of South East Asian Countries Chickens Based on Mitochondrial DNA Variations. J Poult Sci 2014. [DOI: 10.2141/jpsa.0130190] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
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Granevitze Z, David L, Twito T, Weigend S, Feldman M, Hillel J. Phylogenetic resolution power of microsatellites and various single-nucleotide polymorphism types assessed in 10 divergent chicken populations. Anim Genet 2013; 45:87-95. [PMID: 24028291 DOI: 10.1111/age.12088] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/26/2013] [Indexed: 11/30/2022]
Abstract
There has been some debate over the question of which types of DNA variation are most appropriate to accurately reconstruct evolutionary events. We compared the capacity of microsatellites (STRs) and various types of single-nucleotide polymorphism (SNP) loci in the chicken genome. The SNP types differ in their location: in exons, introns and promoters. Genetic distances between all possible pairs of 10 populations were calculated for each marker type. STR loci, which are much more polymorphic than are SNPs, are considered to have occurred at recent time compared with old evolutionary events of SNPs. Using structure software, STR loci assigned individuals to their population much more correctly than did any other marker types, whereas SNPs at promoter regions gave the poorest ascription. Furthermore, 29 STR markers were even better than all 152 SNPs together. Ancient evolutionary events that produced genetic differences between the most distant populations such as Red Jungle Fowl and domestic chicken were detected better by exons and introns than by STR loci and promoters. The significant interactions found between marker types and populations suggest that marker types had different phylogenetic histories, possibly related to a different timescale.
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Affiliation(s)
- Z Granevitze
- The Robert H. Smith Institute of Plant Sciences & Genetics, The Hebrew University of Jerusalem, Robert H. Smith Faculty of Agriculture, Food and Environment, Rehovot, 76100, Israel
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Chazara O, Chang CS, Bruneau N, Benabdeljelil K, Fotsa JC, Kayang BB, Loukou NE, Osei-Amponsah R, Yapi-Gnaore V, Youssao IAK, Chen CF, Pinard-van der Laan MH, Tixier-Boichard M, Bed'hom B. Diversity and evolution of the highly polymorphic tandem repeat LEI0258 in the chicken MHC-B region. Immunogenetics 2013; 65:447-59. [PMID: 23529664 DOI: 10.1007/s00251-013-0697-6] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2013] [Accepted: 03/10/2013] [Indexed: 12/15/2022]
Abstract
The chicken major histocompatibility complex (MHC) is located on the microchromosome 16 and is described as the most variable region in the genome. The genes of the MHC play a central role in the immune system. Particularly, genes encoding proteins involved in the antigen presentation to T cells. Therefore, describing the genetic polymorphism of this region is crucial in understanding host-pathogen interactions. The tandem repeat LEI0258 is located within the core area of the B region of the chicken MHC (MHC-B region) and its genotypes correlate with serology. This marker was used to provide a picture of the worldwide diversity of the chicken MHC-B region and to categorize chicken MHC haplotypes. More than 1,600 animals from 80 different populations or lines of chickens from Africa, Asia, and Europe, including wild fowl species, were genotyped at the LEI0258 locus. Fifty novel alleles were described after sequencing. The resulting 79 alleles were classified into 12 clusters, based on the SNPs and indels found within the sequences flanking the repeats. Furthermore, hypotheses were formulated on the evolutionary dynamics of the region. This study constitutes the largest variability report for the chicken MHC and establishes a framework for future diversity or association studies.
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Affiliation(s)
- Olympe Chazara
- Génétique Animale et Biologie Intégrative, INRA, AgroParisTech, UMR 1313, Jouy-en-Josas, France.
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Ge AJ, Han J, Li XD, Zhao MZ, Liu H, Dong QH, Fang JG. Characterization of SNPs in strawberry cultivars in China. GENETICS AND MOLECULAR RESEARCH 2013; 12:639-45. [PMID: 23546945 DOI: 10.4238/2013.march.7.2] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Single nucleotide polymorphisms (SNPs) occur at high frequencies in both plant and animal genomes and can provide broad genome coverage and reliable estimates of genetic relationships. The availability of expressed sequence tag (EST) data has made it feasible to discover SNPs. DNA analysis is crucial in genetic studies not only for strawberry breeding programs but also for characterization of hybrids and species. We cloned 96 EST sequences, and 116 SNPs were discovered by comparing 16 strawberry cultivars grown in the region of Nanjing, China. Sequence alignment of 6 group sequences derived from 16 sample cultivars yielded 116 SNPs, within a total genomic sequence length of 1755 bp. The SNPs were discovered with a mean frequency of one SNP per 15 bp. These SNPs were comprised of 57% transitions, 32.7% transversions, 8.6% InDels, and 1.7% others, based on which a phylogenetic tree was constructed. Among the 116 SNPs, 75% were located within the open reading frame (ORF), while 25% were located outside the ORF. All 16 cultivars scattered well in dendrogram derived from the SNP data, demonstrating that SNPs can be a powerful tool for cultivar identification and genetic diversity analysis in strawberries.
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Affiliation(s)
- A J Ge
- Beijing Key Laboratory of New Technology in Agricultural Application, Plant Science and Technology College, Beijing University of Agriculture, Beijing, P.R. China
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Gärke C, Ytournel F, Bed’hom B, Gut I, Lathrop M, Weigend S, Simianer H. Comparison of SNPs and microsatellites for assessing the genetic structure of chicken populations. Anim Genet 2011; 43:419-28. [DOI: 10.1111/j.1365-2052.2011.02284.x] [Citation(s) in RCA: 62] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
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Dávila SG, Gil MG, Resino-Talaván P, Campo JL. Evaluation of diversity between different Spanish chicken breeds, a tester line, and a White Leghorn population based on microsatellite markers. Poult Sci 2010; 88:2518-25. [PMID: 19903949 DOI: 10.3382/ps.2009-00347] [Citation(s) in RCA: 28] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
The present study was conducted to evaluate the genetic variability and the genetic divergence of 13 Spanish chicken breeds, a tester line, and a White Leghorn population, using 24 microsatellite markers. A total of 150 alleles were detected across all population. The number of alleles by locus ranged from 2 to 13, with the mean value being 6.25. The mean polymorphic information content was 0.591, ranging from 0.847 to 0.172. The combined parentage exclusion probability of excluding 1 parent or 2 parents was 99 and 100%, respectively. The observed heterozygosity was lower than the expected heterozygosity for all loci, the mean values being 0.461 and 0.637. The observed and expected heterozygosity ranged from 0.003 to 0.735 and 0.181 to 0.863, respectively. Mean deficit of heterozygotes within populations (F(IS)) was 0.056 and mean fixation index of each population (F(ST)) was 0.244. The mean global deficit of heterozygotes across populations (F(IT)) was 0.286. A total of 15 private alleles in 10 microsatellites were observed, and in some populations, fixed alleles were found for 7 microsatellites. A total of 300 birds (83%) were properly assigned to the source population. The average observed heterozygosity for each population was 0.461, ranging from 0.328 (Quail Castellana) to 0.538 (Red Villafranquina), and the average expected heterozygosity was 0.488, ranging from 0.320 (Quail Castellana) to 0.550 (White-Faced Spanish). All of the Spanish breeds except the Quail Castellana were more polymorphic than the White Leghorn population. The mean value of the deviation of heterozygote number was 0.052. Nei's genetic distance showed a range from 0.109 (between White-Faced Spanish and Black Menorca) to 0.437 (between Buff Prat and White Leghorn). A phylogenetic tree constructed by the neighbor-joining method, based on Nei's genetic distance, showed a clear separation between the White Leghorn and the remaining breeds. The results indicate that the panel of microsatellite markers was useful in studying the genetic diversity of chicken breeds.
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Affiliation(s)
- S G Dávila
- Departamento de Mejora Genética Animal, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria, Apartado 8111, 28080 Madrid, Spain.
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Foster JT, Allan GJ, Chan AP, Rabinowicz PD, Ravel J, Jackson PJ, Keim P. Single nucleotide polymorphisms for assessing genetic diversity in castor bean (Ricinus communis). BMC PLANT BIOLOGY 2010; 10:13. [PMID: 20082707 PMCID: PMC2832895 DOI: 10.1186/1471-2229-10-13] [Citation(s) in RCA: 40] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2009] [Accepted: 01/18/2010] [Indexed: 05/21/2023]
Abstract
BACKGROUND Castor bean (Ricinus communis) is an agricultural crop and garden ornamental that is widely cultivated and has been introduced worldwide. Understanding population structure and the distribution of castor bean cultivars has been challenging because of limited genetic variability. We analyzed the population genetics of R. communis in a worldwide collection of plants from germplasm and from naturalized populations in Florida, U.S. To assess genetic diversity we conducted survey sequencing of the genomes of seven diverse cultivars and compared the data to a reference genome assembly of a widespread cultivar (Hale). We determined the population genetic structure of 676 samples using single nucleotide polymorphisms (SNPs) at 48 loci. RESULTS Bayesian clustering indicated five main groups worldwide and a repeated pattern of mixed genotypes in most countries. High levels of population differentiation occurred between most populations but this structure was not geographically based. Most molecular variance occurred within populations (74%) followed by 22% among populations, and 4% among continents. Samples from naturalized populations in Florida indicated significant population structuring consistent with local demes. There was significant population differentiation for 56 of 78 comparisons in Florida (pairwise population phiPT values, p < 0.01). CONCLUSION Low levels of genetic diversity and mixing of genotypes have led to minimal geographic structuring of castor bean populations worldwide. Relatively few lineages occur and these are widely distributed. Our approach of determining population genetic structure using SNPs from genome-wide comparisons constitutes a framework for high-throughput analyses of genetic diversity in plants, particularly in species with limited genetic diversity.
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Affiliation(s)
- Jeffrey T Foster
- Center for Microbial Genetics and Genomics, Northern Arizona University, Flagstaff, AZ 86011-4073 USA
| | - Gerard J Allan
- Department of Biological Sciences, Environmental Genetics and Genomics Laboratory, Northern Arizona University, Flagstaff, AZ 86011-5640 USA
| | - Agnes P Chan
- J. Craig Venter Institute, 9712 Medical Center Drive, Rockville, MD 20850 USA
| | - Pablo D Rabinowicz
- J. Craig Venter Institute, 9712 Medical Center Drive, Rockville, MD 20850 USA
- Institute for Genome Sciences, University of Maryland School of Medicine, 20 Penn Street, Baltimore, MD 21201 USA
- Department of Biochemistry & Molecular Biology, University of Maryland School of Medicine, 20 Penn Street, Baltimore, MD 21201 USA
| | - Jacques Ravel
- J. Craig Venter Institute, 9712 Medical Center Drive, Rockville, MD 20850 USA
- Institute for Genome Sciences, University of Maryland School of Medicine, 20 Penn Street, Baltimore, MD 21201 USA
- Department of Microbiology & Immunology, University of Maryland School of Medicine, 20 Penn Street, Baltimore, MD 21201 USA
| | - Paul J Jackson
- Defense Biology Division, Lawrence Livermore National Laboratory, Livermore, CA 94551 USA
| | - Paul Keim
- Center for Microbial Genetics and Genomics, Northern Arizona University, Flagstaff, AZ 86011-4073 USA
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Megens HJ, Crooijmans RPMA, Bastiaansen JWM, Kerstens HHD, Coster A, Jalving R, Vereijken A, Silva P, Muir WM, Cheng HH, Hanotte O, Groenen MAM. Comparison of linkage disequilibrium and haplotype diversity on macro- and microchromosomes in chicken. BMC Genet 2009; 10:86. [PMID: 20021697 PMCID: PMC2803787 DOI: 10.1186/1471-2156-10-86] [Citation(s) in RCA: 61] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2009] [Accepted: 12/20/2009] [Indexed: 11/24/2022] Open
Abstract
Background The chicken (Gallus gallus), like most avian species, has a very distinct karyotype consisting of many micro- and a few macrochromosomes. While it is known that recombination frequencies are much higher for micro- as compared to macrochromosomes, there is limited information on differences in linkage disequilibrium (LD) and haplotype diversity between these two classes of chromosomes. In this study, LD and haplotype diversity were systematically characterized in 371 birds from eight chicken populations (commercial lines, fancy breeds, and red jungle fowl) across macro- and microchromosomes. To this end we sampled four regions of ~1 cM each on macrochromosomes (GGA1 and GGA2), and four 1.5 -2 cM regions on microchromosomes (GGA26 and GGA27) at a high density of 1 SNP every 2 kb (total of 889 SNPs). Results At a similar physical distance, LD, haplotype homozygosity, haploblock structure, and haplotype sharing were all lower for the micro- as compared to the macrochromosomes. These differences were consistent across populations. Heterozygosity, genetic differentiation, and derived allele frequencies were also higher for the microchromosomes. Differences in LD, haplotype variation, and haplotype sharing between populations were largely in line with known demographic history of the commercial chicken. Despite very low levels of LD, as measured by r2 for most populations, some haploblock structure was observed, particularly in the macrochromosomes, but the haploblock sizes were typically less than 10 kb. Conclusion Differences in LD between micro- and macrochromosomes were almost completely explained by differences in recombination rate. Differences in haplotype diversity and haplotype sharing between micro- and macrochromosomes were explained by differences in recombination rate and genotype variation. Haploblock structure was consistent with demography of the chicken populations, and differences in recombination rates between micro- and macrochromosomes. The limited haploblock structure and LD suggests that future whole-genome marker assays will need 100+K SNPs to exploit haplotype information. Interpretation and transferability of genetic parameters will need to take into account the size of chromosomes in chicken, and, since most birds have microchromosomes, in other avian species as well.
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Affiliation(s)
- Hendrik-Jan Megens
- Animal Breeding & Genomics Centre, Wageningen University, Wageningen, The Netherlands.
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Abstract
The genetic structure of 65 chicken populations was studied using 29 simple sequence repeat loci. Six main clusters which corresponded to geographical origins and histories were identified: Brown Egg Layers; predominantly Broilers; native Chinese breeds or breeds with recent Asian origin; predominantly breeds of European derivation; a small cluster containing populations with no common history and populations that had breeding history with White Leghorn. Another group of populations that shared their genome with several clusters was defined as 'Multi-clusters'. Gallus gallus gallus (Multi-clusters), one of the subspecies of the Red Jungle Fowl, which was previously suggested to be one of the ancestors of the domesticated chicken, has almost no shared loci with European and White Egg layer populations. In a further sub-clustering of the populations, discrimination between all the 65 populations was possible, and relationships between each were suggested. The genetic variation between populations was found to account for about 34% of the total genetic variation, 11% of the variation being between clusters and 23% being between populations within clusters. The suggested clusters may assist in future studies of genetic aspects of the chicken gene pool.
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Affiliation(s)
- Z. Granevitze
- The Robert H. Smith Institute of Plant Sciences & Genetics, The Hebrew University of Jerusalem, Faculty of Agriculture, Food and Environmental Quality Sciences Rehovot 76100, ISRAEL
| | - J. Hillel
- The Robert H. Smith Institute of Plant Sciences & Genetics, The Hebrew University of Jerusalem, Faculty of Agriculture, Food and Environmental Quality Sciences Rehovot 76100, ISRAEL
| | - M. Feldman
- Department of Biological Sciences, Stanford University, California, 94305, USA
| | - A. Six
- Institute of Farm Animal Genetics, Friedrich Loeffler Institute; 31535 Neustadt - Mariensee; Germany
| | - H. Eding
- Institute of Farm Animal Genetics, Friedrich Loeffler Institute; 31535 Neustadt - Mariensee; Germany
| | - S. Weigend
- Institute of Farm Animal Genetics, Friedrich Loeffler Institute; 31535 Neustadt - Mariensee; Germany
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Soattin M, Barcaccia G, Dalvit C, Cassandro M, Bittante G. Genomic DNA fingerprinting of indigenous chicken breeds with molecular markers designed on interspersed repeats. Hereditas 2009; 146:183-97. [DOI: 10.1111/j.1601-5223.2009.02106.x] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
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