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Xu D, Zhu W, Wu Y, Wei S, Shu G, Tian Y, Du X, Tang J, Feng Y, Wu G, Han X, Zhao X. Whole-genome sequencing revealed genetic diversity, structure and patterns of selection in Guizhou indigenous chickens. BMC Genomics 2023; 24:570. [PMID: 37749517 PMCID: PMC10521574 DOI: 10.1186/s12864-023-09621-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 08/23/2023] [Indexed: 09/27/2023] Open
Abstract
BACKGROUND The eight phenotypically distinguishable indigenous chicken breeds in Guizhou province of China are great resources for high-quality development of the poultry industry in China. However, their full value and potential have yet to be understood in depth. To illustrate the genetic diversity, the relationship and population structure, and the genetic variation patterns shaped by selection in Guizhou indigenous chickens, we performed a genome-wide analysis of 240 chickens from 8 phenotypically and geographically representative Guizhou chicken breeds and 60 chickens from 2 commercial chicken breeds (one broiler and one layer), together with 10 red jungle fowls (RJF) genomes available from previous studies. RESULTS The results obtained in this present study showed that Guizhou chicken breed populations harbored higher genetic diversity as compared to commercial chicken breeds, however unequal polymorphisms were present within Guizhou indigenous chicken breeds. The results from the population structure analysis markedly reflected the breeding history and the geographical distribution of Guizhou indigenous chickens, whereas, some breeds with complex genetic structure were ungrouped into one cluster. In addition, we confirmed mutual introgression within Guizhou indigenous chicken breeds and from commercial chicken breeds. Furthermore, selective sweep analysis revealed candidate genes which were associated with specific and common phenotypic characteristics evolved rapidly after domestication of Guizhou local chicken breeds and economic traits such as egg production performance, growth performance, and body size. CONCLUSION Taken together, the results obtained from the comprehensive analysis of the genetic diversity, genetic relationships and population structures in this study showed that Guizhou indigenous chicken breeds harbor great potential for commercial utilization, however effective conservation measures are currently needed. Additionally, the present study drew a genome-wide selection signature draft for eight Guizhou indigenous chicken breeds and two commercial breeds, as well as established a resource that can be exploited in chicken breeding programs to manipulate the genes associated with desired phenotypes. Therefore, this study will provide an essential genetic basis for further research, conservation, and breeding of Guizhou indigenous chickens.
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Affiliation(s)
- Dan Xu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Ya'an, P. R. China
- Key Laboratory of Livestock and Poultry Multi-Omics, MinistryofAgricultureandRuralAffairs, College of Animal Science and Technology(Institute of Animal Genetics and Breeding), Sichuan Agricultural University, Ya'an, P. R. China
| | - Wei Zhu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Ya'an, P. R. China
- Key Laboratory of Livestock and Poultry Multi-Omics, MinistryofAgricultureandRuralAffairs, College of Animal Science and Technology(Institute of Animal Genetics and Breeding), Sichuan Agricultural University, Ya'an, P. R. China
| | - Youhao Wu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Ya'an, P. R. China
- Key Laboratory of Livestock and Poultry Multi-Omics, MinistryofAgricultureandRuralAffairs, College of Animal Science and Technology(Institute of Animal Genetics and Breeding), Sichuan Agricultural University, Ya'an, P. R. China
| | - Shuo Wei
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Ya'an, P. R. China
- Key Laboratory of Livestock and Poultry Multi-Omics, MinistryofAgricultureandRuralAffairs, College of Animal Science and Technology(Institute of Animal Genetics and Breeding), Sichuan Agricultural University, Ya'an, P. R. China
| | - Gang Shu
- Department of Basic Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Yaofu Tian
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Ya'an, P. R. China
- Key Laboratory of Livestock and Poultry Multi-Omics, MinistryofAgricultureandRuralAffairs, College of Animal Science and Technology(Institute of Animal Genetics and Breeding), Sichuan Agricultural University, Ya'an, P. R. China
| | - Xiaohui Du
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Ya'an, P. R. China
- Key Laboratory of Livestock and Poultry Multi-Omics, MinistryofAgricultureandRuralAffairs, College of Animal Science and Technology(Institute of Animal Genetics and Breeding), Sichuan Agricultural University, Ya'an, P. R. China
| | - Jigao Tang
- Institute of Animal Husbandry and Veterinary Medicine, Guizhou Academy of Agricultural Sciences, Guiyang, Guizhou Province, China
| | - Yulong Feng
- Institute of Animal Husbandry and Veterinary Medicine, Guizhou Academy of Agricultural Sciences, Guiyang, Guizhou Province, China
| | - Gemin Wu
- Institute of Animal Husbandry and Veterinary Medicine, Guizhou Academy of Agricultural Sciences, Guiyang, Guizhou Province, China
| | - Xue Han
- Institute of Animal Husbandry and Veterinary Medicine, Guizhou Academy of Agricultural Sciences, Guiyang, Guizhou Province, China.
| | - Xiaoling Zhao
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Ya'an, P. R. China.
- Key Laboratory of Livestock and Poultry Multi-Omics, MinistryofAgricultureandRuralAffairs, College of Animal Science and Technology(Institute of Animal Genetics and Breeding), Sichuan Agricultural University, Ya'an, P. R. China.
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Debnath J, Debnath S, Sarkar D, Debroy B, Kumar M, Das AK. Genetic characterisation of indigenous duck of Tripura state in India using microsatellite markers. Trop Anim Health Prod 2023; 55:198. [PMID: 37184669 DOI: 10.1007/s11250-023-03629-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Accepted: 05/09/2023] [Indexed: 05/16/2023]
Abstract
Exploring genetic variability by microsatellite markers is essential for genetic improvement, preservation of indigenous germplasm and production of high-quality offspring. Lack of information on microsatellite profiling of Indian indigenous ducks (Tripura state) has stoked curiosity in this work. Genomic DNA samples from randomly selected 36 native ducks were analysed at 25 duck-specific microsatellite loci. Alleles were separated through 3.4% MetaPhore™ agarose gel electrophoresis. Allele sizes were determined using Image Lab 6 software of GelDoc™ EZ System. Allelic data were analysed by POPGENE version 1.31. Total 112 alleles were resolved and all the loci were found polymorphic with 2 to 15 alleles across the loci. Average number of allele (Na) was 4.480 ± 0.659. Allele sizes and frequencies ranged from 96 to 357 bp and 0.014 to 0.819, respectively. Average heterozygosity of Nei, effective number (Ne) of alleles and Shannon's information index (I) were 0.617 ± 0.036, 3.538 ± 0.527 and 1.184 ± 0.112, respectively. The estimates of Ne were less than the Na at all the loci, indicating prevalence of heterozygosity. Polymorphic information content (PIC) ranged from 0.252 (CAUD020) to 0.911 (CAUD019) with an average of 0.562 ± 0.040. Sixteen loci were moderate to highly polymorphic and informative (PIC ˃ 0.5). Chi-square and G-square statistics revealed Hardy-Weinberg disequilibrium at all the loci. Moderate to high level of polymorphism of the studied microsatellites indicated that these markers might be helpful for genetic characterisation and adoption of appropriate conservation strategies to exploit optimum genetic potentiality of indigenous ducks of Tripura.
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Affiliation(s)
- Jowel Debnath
- Department of Livestock Farm Complex, College of Veterinary Sciences and Animal Husbandry, R. K. Nagar, Agartala, 799008, Tripura, India
| | - Somen Debnath
- DBT Project, College of Veterinary Sciences and Animal Husbandry, R. K. Nagar, Agartala, 799008, Tripura, India
| | - Debajyoti Sarkar
- ICAR-National Dairy Research Institute, Karnal, 132001, Haryana, India
| | - Biplab Debroy
- Department of Veterinary Pathology, College of Veterinary Sciences and Animal Husbandry, R. K. Nagar, Agartala, 799008, Tripura, India
| | - Mritunjay Kumar
- Department of Teaching Veterinary Clinical Complex, College of Veterinary Sciences and Animal Husbandry, R. K. Nagar, Agartala, 799008, Tripura, India
| | - Ananta Kumar Das
- Department of Animal Genetics and Breeding, Faculty of Veterinary and Animal Sciences, West Bengal University of Animal and Fishery Sciences, P.O.- Krishi Viswavidyalaya Mohanpur, Nadia, 741252, West Bengal, India.
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Li W, Zhou C, Cheng M, Tu H, Wang G, Mao Y, Huang Y, Chen M, Price M, Meng Y, Yue B, Zhang X. Large‐scale genetic surveys for main extant population of wild giant panda (
Ailuropoda melanoleuca
) reveals an urgent need of human management. Evol Appl 2023; 16:738-749. [PMID: 36969135 PMCID: PMC10033846 DOI: 10.1111/eva.13532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 01/09/2023] [Accepted: 01/17/2023] [Indexed: 02/08/2023] Open
Abstract
There are only six isolated living giant panda populations, and a comprehensive understanding of their genetic health status is crucial for the conservation of this vulnerable species. Liangshan Mountains is one of the main distribution areas of living giant pandas and is outside the newly established Giant panda national park. In this study, 971 giant panda fecal samples were collected in the heartland of Liangshan Mountains (Mabian Dafengding Nature Reserve: MB; Meigu Dafengding Nature Reserve: MG; and Heizhugou Nature Reserve: HZG). Microsatellite markers and mitochondrial D-loop sequences were used to estimate population size and genetic diversity. We identified 92 individuals (MB: 27, MG: 22, HZG: 43) from the three reserves. Our results showed that: (1) genetic diversity of three giant panda populations was moderate; (2) several loci deviated significantly from the Hardy-Weinberg equilibrium and almost all these deviated loci showed significant heterozygote deficiencies and inbreeding; (3) three giant panda populations have substantial genetic differentiation with the most differentiation between MB and the two other populations; and (4) a large amount of giant panda feces outside the three reserves were found, implying the existence of protection gap. These results indicated that under stochastic events, the giant panda populations in Liangshan Mountains are at risk of genetic decline or extinction and urgent need of human management. This study revealed that high attention should be paid to the protection of these giant panda populations outside the Giant panda national park, to ensure their survival in their distribution areas.
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Affiliation(s)
- Wanyu Li
- Key Laboratory of Bioresources and Ecoenvironment (Ministry of Education), College of Life Sciences Sichuan University Chengdu China
- Sichuan Key Laboratory of Conservation Biology on Endangered Wildlife, College of Life Sciences Sichuan University Chengdu China
| | - Chuang Zhou
- Key Laboratory of Bioresources and Ecoenvironment (Ministry of Education), College of Life Sciences Sichuan University Chengdu China
- Sichuan Key Laboratory of Conservation Biology on Endangered Wildlife, College of Life Sciences Sichuan University Chengdu China
| | - Meiling Cheng
- Sichuan Key Laboratory of Conservation Biology on Endangered Wildlife, College of Life Sciences Sichuan University Chengdu China
- State Forestry and Grassland Administration Key Laboratory of Conservation Biology for Rare Animals of the Giant Panda State Park China Conservation and Research Center for the Giant Panda Dujiangyan China
| | - Hongmei Tu
- Key Laboratory of Bioresources and Ecoenvironment (Ministry of Education), College of Life Sciences Sichuan University Chengdu China
| | - Guannan Wang
- Key Laboratory of Bioresources and Ecoenvironment (Ministry of Education), College of Life Sciences Sichuan University Chengdu China
| | - Yeming Mao
- Sichuan Heizhugou National Nature Reserve Administration Ebian China
| | - Yaohua Huang
- Sichuan Mabian National Nature Reserve Administration Leshan China
| | - Minghua Chen
- Sichuan Meigu National Nature Reserve Administration Meigu China
| | - Megan Price
- Key Laboratory of Bioresources and Ecoenvironment (Ministry of Education), College of Life Sciences Sichuan University Chengdu China
- Sichuan Key Laboratory of Conservation Biology on Endangered Wildlife, College of Life Sciences Sichuan University Chengdu China
| | - Yang Meng
- Key Laboratory of Bioresources and Ecoenvironment (Ministry of Education), College of Life Sciences Sichuan University Chengdu China
- Sichuan Key Laboratory of Conservation Biology on Endangered Wildlife, College of Life Sciences Sichuan University Chengdu China
| | - Bisong Yue
- Key Laboratory of Bioresources and Ecoenvironment (Ministry of Education), College of Life Sciences Sichuan University Chengdu China
- Sichuan Key Laboratory of Conservation Biology on Endangered Wildlife, College of Life Sciences Sichuan University Chengdu China
| | - Xiuyue Zhang
- Key Laboratory of Bioresources and Ecoenvironment (Ministry of Education), College of Life Sciences Sichuan University Chengdu China
- Sichuan Key Laboratory of Conservation Biology on Endangered Wildlife, College of Life Sciences Sichuan University Chengdu China
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Genetic Diversity and Population Structure of Local Chicken Ecotypes in Burkina Faso Using Microsatellite Markers. Genes (Basel) 2022; 13:genes13091523. [PMID: 36140691 PMCID: PMC9498515 DOI: 10.3390/genes13091523] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Revised: 08/07/2022] [Accepted: 08/16/2022] [Indexed: 11/16/2022] Open
Abstract
The objective of this study was to investigate the genetic diversity and population structure of local chicken ecotypes from Burkina Faso using microsatellite markers. A total of 71 individuals representing local chicken populations from the Centre-East (18), Centre-North (17), Sahel (18) and South-West (18) were used to estimate genetic diversity indices, population structure and phylogenetic relationships using 20 selected polymorphic microsatellite markers. The number of alleles, mean number of alleles, mean of observed and expected heterozygosity and polymorphic information content were 127, 6.35, 0.391, 0.521, 0.539 and 0.541, respectively. The estimated overall fixation index between loci (F), among populations (FIS) and inbreeding coefficient within chicken ecotypes were 0.239, 0.267 and 0.243, respectively. Analysis of the molecular variance revealed that 77% of the total genetic diversity was attributed to within-population variation and the remaining 1% and 22% were attributed to among-regions differentiation (FST) and among-individual differentiation (FIT), respectively. The highest pairwise genetic distance (0.026) was found between the local Konde ecotype and those from the Centre-North region while the lowest distance was observed between local chickens from the Sahel and the Centre-North regions (0.003). Neighbour-joining phylogenetic tree and principal component discriminant analyses confirmed the observed genetic distances between populations. The results show that local chickens in Burkina Faso have a rich genetic diversity with little differentiation between the studied populations. This study provides important information on measures of genetic diversity that could help in the design and implementation of future genetic improvement and conservation programs for local chickens in Burkina Faso.
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DAS ANANTAKUMAR, KUMAR SANJEEV, RAHIM ABDUL, DEBNATH JOWEL, KOKATE LAXMIKANTSAMBHAJI. Investigating genetic heterogeneity using microsatellite markers after long term selection for egg production in Rhode Island Red chicken. THE INDIAN JOURNAL OF ANIMAL SCIENCES 2021. [DOI: 10.56093/ijans.v90i10.111323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Genetic heterogeneity was investigated using 24 microsatellite markers and genomic DNA of 24 randomly selected birds from the selected and control lines of RIR chicken maintained at ICAR-Central Avian Research Institute, Izatnagar. The microsatellite alleles were determined on urea-PAGE, recorded using GelDoc system and the samples were genotyped. The complete genotypic data set was analyzed using POPGENE software. The observed heterozygosity (Ho) means were 0.6306±0.3901 and 0.6528±0.4345 in the selected and control line, respectively. Explicitly the control line contained more Ho mean and thus the more diverse than the selected population. The expected heterozygosity (He) ranged from 0.5053 (MCW0059) to 0.8421 (MCW0004) with mean of 0.7066±0.020 in the selected line, and from 0.2899 (MCW0059) to 0.9130 (ADL0136) with mean of 0.7095±0.030 in the control line. The Ho mean was less than the He mean in each population; the Chi square and G-square tests revealed significant deviations of almost all the loci from the Hardy-Weinberg equilibrium. The selected and control line populations had the corresponding genetic identity and genetic distance of 0.5264 and 0.6418 as original measures, and 0.5528 and 0.5928 as unbiased measures. The phylogenetic analysis revealed their moderate genetic diversity reflecting 29.64 to 32.09% common inheritance. This present investigation thus estimated genetic heterogeneity using a set of microsatellite markers after long term selection for egg production in RIR chicken and could be useful in the study of population dynamics under selection pressure.
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Development of Microsatellite Marker System to Determine the Genetic Diversity of Experimental Chicken, Duck, Goose, and Pigeon Populations. BIOMED RESEARCH INTERNATIONAL 2021; 2021:8851888. [PMID: 33511214 PMCID: PMC7822670 DOI: 10.1155/2021/8851888] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Revised: 12/09/2020] [Accepted: 01/05/2021] [Indexed: 12/28/2022]
Abstract
Poultries including chickens, ducks, geese, and pigeons are widely used in the biological and medical research in many aspects. The genetic quality of experimental poultries directly affects the results of the research. In this study, following electrophoresis analysis and short tandem repeat (STR) scanning, we screened out the microsatellite loci for determining the genetic characteristics of Chinese experimental chickens, ducks, geese, and pigeons. The panels of loci selected in our research provide a good choice for genetic monitoring of the population genetic diversity of Chinese native experimental chickens, ducks, geese, and ducks.
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Habimana R, Okeno TO, Ngeno K, Mboumba S, Assami P, Gbotto AA, Keambou CT, Nishimwe K, Mahoro J, Yao N. Genetic diversity and population structure of indigenous chicken in Rwanda using microsatellite markers. PLoS One 2020; 15:e0225084. [PMID: 32240167 PMCID: PMC7117670 DOI: 10.1371/journal.pone.0225084] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2019] [Accepted: 03/08/2020] [Indexed: 11/19/2022] Open
Abstract
Rwanda has about 4.5 million of indigenous chicken (IC) that are very low in productivity. To initiate any genetic improvement programme, IC needs to be accurately characterized. The key purpose of this study was to ascertain the genetic diversity of IC in Rwanda using microsatellite markers. Blood samples of IC sampled from 5 agro-ecological zones were collected from which DNA was extracted, amplified by PCR and genotyped using 28 microsatellite markers. A total of 325 (313 indigenous and 12 exotic) chickens were genotyped and revealed a total number of 305 alleles varying between 2 and 22 with a mean of 10.89 per locus. One hundred eighty-six (186) distinct alleles and 60 private alleles were also observed. The frequency of private alleles was highest in samples from the Eastern region, whereas those from the North West had the lowest. The influx of genes was lower in the Eastern agro-ecological zone than the North West. The mean observed heterozygosity was 0.6155, whereas the average expected heterozygosity was 0.688. The overall inbreeding coefficient among the population was 0.040. Divergence from the Hardy-Weinberg equilibrium was significant (p<0.05) in 90% of loci in all the populations. The analysis of molecular variance revealed that about 92% of the total variation originated from variation within populations. Additionally, the study demonstrated that IC in Rwanda could be clustered into four gene groups. In conclusion, there was considerable genetic diversity in IC in Rwanda, which represents a crucial genetic resource that can be conserved or optimized through genetic improvement.
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Affiliation(s)
- Richard Habimana
- Animal Science and Veterinary Medicine, University of Rwanda, College of Agriculture, Nyagatare, Rwanda
- Department of Animal Science, Animal Breeding and Genomics Group, Egerton University, Nakuru, Kenya
| | - Tobias Otieno Okeno
- Department of Animal Science, Animal Breeding and Genomics Group, Egerton University, Nakuru, Kenya
| | - Kiplangat Ngeno
- Department of Animal Science, Animal Breeding and Genomics Group, Egerton University, Nakuru, Kenya
| | - Sylvere Mboumba
- Faculty of Agronomy and Biotechnologies, Masuku University of Science and Techniques, Franceville, Gabon
| | - Pauline Assami
- Biosciences eastern and central Africa, International Livestock Research Institute Hub, Nairobi, Kenya
| | - Anique Ahou Gbotto
- Laboratoire de genomique Fonctionnelle et Amélioration Génétique Université Nangui Abrogoua, Abidjan, Cote d'Ivoire
| | - Christian Tiambo Keambou
- Biosciences eastern and central Africa, International Livestock Research Institute Hub, Nairobi, Kenya
- Faculty of Agriculture and Veterinary medicine, University of Buea, Buea, Cameroon
| | - Kizito Nishimwe
- Animal Science and Veterinary Medicine, University of Rwanda, College of Agriculture, Nyagatare, Rwanda
| | - Janvier Mahoro
- Animal Science and Veterinary Medicine, University of Rwanda, College of Agriculture, Nyagatare, Rwanda
| | - Nasser Yao
- Biosciences eastern and central Africa, International Livestock Research Institute Hub, Nairobi, Kenya
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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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Weigend S, Romanov M. The World Watch List for Domestic Animal Diversity in the context of conservation and utilisation of poultry biodiversity. WORLD POULTRY SCI J 2019. [DOI: 10.1079/wps20020031] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- S. Weigend
- Institute for Animal Science of the Federal Agricultural Research Centre, Mariensee, Hoeltystrasse 10, 31535 Neustadt, Germany
| | - M.N. Romanov
- Poultry Research Institute of the Ukrainian Academy of Agrarian Sciences, Borky, Zmiiv District, Kharkiv Region 63421, Ukraine
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Weigend S, Romanov M. Current strategies for the assessment and evaluation of genetic diversity in chicken resources. WORLD POULTRY SCI J 2019. [DOI: 10.1079/wps20010020] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Affiliation(s)
- S. Weigend
- Institute for Animal Science and Animal Behaviour, Mariensee, Federal Agricultural Research Centre (FAL), 31535 Neustadt, Germany
| | - M.N. Romanov
- Poultry Research Institute (UAAS), Borky, Zmiiv District, Kharkiv Region 63421, Ukraine
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Zhang C, Lin D, Wang Y, Peng D, Li H, Fei J, Chen K, Yang N, Hu X, Zhao Y, Li N. Widespread introgression in Chinese indigenous chicken breeds from commercial broiler. Evol Appl 2019; 12:610-621. [PMID: 30828377 PMCID: PMC6383742 DOI: 10.1111/eva.12742] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2018] [Revised: 10/17/2018] [Accepted: 11/15/2018] [Indexed: 12/17/2022] Open
Abstract
Chinese indigenous chickens (CICs) constitute world-renowned genetic resources due to their excellent traits, including early puberty, good meat quality and strong resistance to disease. Unfortunately, the introduction of a large number of commercial chickens in the past two decades has had an adverse effect on CICs. Using the chicken 60 K single nucleotide polymorphism chip, we assessed the genetic diversity and population structure of 1,187 chickens, representing eight Chinese indigenous chicken breeds, two hybrid chicken breeds, two ancestral chicken breeds, two commercial populations and additional red jungle fowl. By investigating haplotype similarity, we found extensive gene introgression from commercial broiler to almost all CICs. Approximately 15% of the genome, on average, of CICs was introgressed, ranging from 0.64% for Tibetan chicken to 21.52% for Huiyang Bearded chicken. Further analysis revealed signals consistent with positive selection in the introgression loci. For the first time, we systematically mapped and quantified introgression from commercial broiler to CICs at the whole genome level. Our data provided a usable resource for chicken genetic diversity, and our findings indicated a dire need for protecting the genetic resources of CICs.
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Affiliation(s)
- Chunyuan Zhang
- Beijing Advanced Innovation Center for Food Nutrition and Human HealthChina Agricultural UniversityBeijingChina
- State Key Laboratory for Agrobiotechnology, College of Biological SciencesChina Agricultural UniversityBeijingChina
| | - Deng Lin
- Beijing Advanced Innovation Center for Food Nutrition and Human HealthChina Agricultural UniversityBeijingChina
| | - Yuzhe Wang
- State Key Laboratory for Agrobiotechnology, College of Biological SciencesChina Agricultural UniversityBeijingChina
| | - Dezhi Peng
- State Key Laboratory for Agrobiotechnology, College of Biological SciencesChina Agricultural UniversityBeijingChina
| | - Huifang Li
- Institute of Poultry ScienceChinese Academy of Agricultural SciencesYangzhouChina
| | - Jing Fei
- State Key Laboratory for Agrobiotechnology, College of Biological SciencesChina Agricultural UniversityBeijingChina
| | - Kuanwei Chen
- Institute of Poultry ScienceChinese Academy of Agricultural SciencesYangzhouChina
| | - Ning Yang
- National Engineering Laboratory for Animal BreedingChina Agricultural UniversityBeijingChina
| | - Xiaoxiang Hu
- State Key Laboratory for Agrobiotechnology, College of Biological SciencesChina Agricultural UniversityBeijingChina
| | - Yiqiang Zhao
- Beijing Advanced Innovation Center for Food Nutrition and Human HealthChina Agricultural UniversityBeijingChina
- State Key Laboratory for Agrobiotechnology, College of Biological SciencesChina Agricultural UniversityBeijingChina
| | - Ning Li
- State Key Laboratory for Agrobiotechnology, College of Biological SciencesChina Agricultural UniversityBeijingChina
- National Engineering Laboratory for Animal BreedingChina Agricultural UniversityBeijingChina
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Okumu ON, Ngeranwa J, Binepal Y, Kahi A, Bramwel W, Ateya L, Wekesa F. Genetic diversity of indigenous chickens from selected areas in Kenya using microsatellite markers. J Genet Eng Biotechnol 2019; 15:489-495. [PMID: 30647691 PMCID: PMC6296579 DOI: 10.1016/j.jgeb.2017.04.007] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2016] [Revised: 12/22/2016] [Accepted: 04/16/2017] [Indexed: 11/18/2022]
Abstract
In this study, indigenous chickens were collected from eight different regions in Kenya and kept at InCIP-Egerton University. These were studied using eighteen microsatellite markers to determine genetic variation. Statistics related to genetic variation were estimated using GenALEx6. Mean percentage polymorphic loci (PPL) was 96.71% and 4% genetic variance (p ≥ 0.003) was seen between the eight populations. MCW0123 marker had the highest genetic variance of 13% among populations (p ≥ 0.003) at 95% CI. Mean He ranged from 0.351 ± 0.031 (SIB) to 0.434 ± 0.022 (BM) with a grand mean He of 0.399 ± 0.011 across the populations using the microsatellite markers. Nei’s genetic distance ranged from 0.016 (SIB and WP) to 0.126 (NR and SIB). DARwin6.501 analysis software was used to draw the population dendrogram and two major population clusters were observed, also seen with PCoA. This study found a lot of genetic variation and relatedness within and among populations. Based on the phylogenetic tree result, it is concluded that the clustering of the chicken populations in the present study is not based on geographical proximity. The microsatellite markers used in this study were suitable for the measurement of the genetic biodiversity and relationship of Kenyan chicken populations. These results can therefore serve as an initial step to plan the conservation of indigenous chickens in Kenya.
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Affiliation(s)
- Okoth Noah Okumu
- Department of Biochemistry and Biotechnology, Kenyatta University, P.O. Box 43844-00100, Nairobi, Kenya
- Kenya Agricultural Livestock and Research Organization, Biotechnology Research Institute, P.O. Box 57811-00100, Nairobi, Kenya
- Corresponding author at: Department of Biochemistry and Biotechnology, Kenyatta University, P.O. Box 43844-00100, Nairobi, Kenya.
| | - J.J.N. Ngeranwa
- Department of Biochemistry and Biotechnology, Kenyatta University, P.O. Box 43844-00100, Nairobi, Kenya
| | - Y.S. Binepal
- Kenya Agricultural Livestock and Research Organization, Biotechnology Research Institute, P.O. Box 57811-00100, Nairobi, Kenya
| | - A.K. Kahi
- Faculty of Agriculture, Egerton University, P.O. Box 536-20115, Egerton, Kenya
| | - W.W. Bramwel
- Kenya Agricultural Livestock and Research Organization, Biotechnology Research Institute, P.O. Box 57811-00100, Nairobi, Kenya
| | - L.O. Ateya
- Kenya Agricultural Livestock and Research Organization, Biotechnology Research Institute, P.O. Box 57811-00100, Nairobi, Kenya
| | - F.C. Wekesa
- Department of Biochemistry and Biotechnology, Kenyatta University, P.O. Box 43844-00100, Nairobi, Kenya
- Kenya Agricultural Livestock and Research Organization, Biotechnology Research Institute, P.O. Box 57811-00100, Nairobi, Kenya
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Khan MKI, Ali M, Akter MA, Zaman S, Miah G. Characterization of Hilly Chickens in Consideration of Climate Change Factors: Light and Heat. BRAZILIAN JOURNAL OF POULTRY SCIENCE 2018. [DOI: 10.1590/1806-9061-2018-0774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Affiliation(s)
- MKI Khan
- Dept. of Genetics and Animal Breeding, Bangladesh
| | - M Ali
- Dept. of Genetics and Animal Breeding, Bangladesh
| | - MA Akter
- Dept. of Genetics and Animal Breeding, Bangladesh
| | - S Zaman
- Dept. of Dairy and Poultry Secience, Bangladesh
| | - G Miah
- Dept. of Genetics and Animal Breeding, Bangladesh
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Azimu W, Manatbay B, Li Y, Kaimaerdan D, Wang HE, Reheman A, Muhatai G. Genetic diversity and population structure analysis of eight local chicken breeds of Southern Xinjiang. Br Poult Sci 2018; 59:629-635. [DOI: 10.1080/00071668.2018.1523537] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Affiliation(s)
- W. Azimu
- College of Animal Science, Tarim University, Alar, Aksu, China
| | - B. Manatbay
- Xinjiang Entry-Exit Inspections and Quarantine Bureau Technology Center, Urumqi, China
| | - Y. Li
- Institutes of Arid Ecology and Geography, Xinjiang University, Urumqi, China
| | - D. Kaimaerdan
- Autonomous Regional Animal Husbandry Station Down, Urumqi, Xinjiang, China
| | - H. E. Wang
- College of Animal Science, Tarim University, Alar, Aksu, China
| | - A. Reheman
- College of Animal Science, Tarim University, Alar, Aksu, China
| | - G. Muhatai
- College of Animal Science, Tarim University, Alar, Aksu, China
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A minimum requirements method to isolate large quantities of highly purified DNA from one drop of poultry blood. J Genet 2018. [DOI: 10.1007/s12041-018-0983-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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18
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Fulton JE, Berres ME, Kantanen J, Honkatukia M. MHC-B variability within the Finnish Landrace chicken conservation program. Poult Sci 2018; 96:3026-3030. [PMID: 28453652 DOI: 10.3382/ps/pex102] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2016] [Accepted: 04/05/2017] [Indexed: 11/20/2022] Open
Abstract
The major histocompatibility complex (MHC) is a cluster of genes involved with immune responses. The chicken MHC has been shown to influence resistance to viruses, bacteria, and infections from both internal and external parasites. The highly variable chicken MHC haplotypes were initially identified by the use of haplotype-specific serological reagents. A novel SNP-based panel encompassing 210,000 bp of the MHC-B locus was developed to allow fine scale genetic analyses including rapid identification of novel haplotypes for which serological reagents are not available. The Finnish Landrace breed of chickens traces its origins to almost 1,000 years ago, with multiple lineages maintained as small populations in isolated villages. The breed is well adapted to the cooler Finnish climate and is considered to be an infrequent egg layer. Conservation efforts to protect this endangered breed were initiated by a hobby breeder in the 1960s. An official conservation program was established in 1998 and now 12 different populations are currently maintained by a network of volunteer hobbyist breeders. Variation in the MHC-B region in these populations was examined using a panel of 90 selected SNP. A total of 195 samples from 12 distinct populations (average of 15 individuals sampled per population) were genotyped with the 90 SNP panel specific for the MHC-B region, spanning 210,000 bp. There were 36 haplotypes found, 16 of which are a subset of 78 that had been previously identified in either commercially utilized or heritage breeds from North America with the remaining 20 haplotypes being novel. The average number of MHC-B haplotypes found within each Finnish Landrace population was 5.9, and ranged from one to 13. While haplotypes common to multiple populations were found, population-specific haplotypes were also identified. This study shows that substantial MHC-B region diversity exists in the Finnish Landrace breed and exemplifies the significance tied to conserving multiple populations of rare breeds.
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Affiliation(s)
- J E Fulton
- Hy-Line International, Dallas Center, IA.
| | | | - J Kantanen
- Green Technology, Natural Resources Institute Finland (LUKE), FI-31600 Jokioinen, Finland; Department of Environmental and Biological Sciences, University of Eastern Finland, PO Box 1627, FI-70211 Kuopio, Finland
| | - M Honkatukia
- Green Technology, Natural Resources Institute Finland (LUKE), FI-31600 Jokioinen, Finland
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19
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Yaro M, Munyard KA, Stear MJ, Groth DM. Molecular identification of livestock breeds: a tool for modern conservation biology. Biol Rev Camb Philos Soc 2016; 92:993-1010. [DOI: 10.1111/brv.12265] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2015] [Revised: 02/14/2016] [Accepted: 02/18/2016] [Indexed: 12/22/2022]
Affiliation(s)
- Mohammed Yaro
- School of Biomedical Sciences, CHIRI Biosciences Research Precinct, Faculty of Health Sciences; Curtin University; GPO Box U1987 Perth WA 6845 Australia
| | - Kylie A. Munyard
- School of Biomedical Sciences, CHIRI Biosciences Research Precinct, Faculty of Health Sciences; Curtin University; GPO Box U1987 Perth WA 6845 Australia
| | - Michael J. Stear
- Institute of Biodiversity, Animal Health and Comparative Medicine; University of Glasgow; Bearsden Road Glasgow G61 1QH U.K
| | - David M. Groth
- School of Biomedical Sciences, CHIRI Biosciences Research Precinct, Faculty of Health Sciences; Curtin University; GPO Box U1987 Perth WA 6845 Australia
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ESFAHANI EFFATNASR, ESKANDARINASAB MORADPASHA, KHANIAN SAEEDESMAEIL, NIKMARD MEHDI, MOLAEE VAHID. Genetic diversity of a native chicken breed in Iran. J Genet 2014. [DOI: 10.1007/s12041-012-0139-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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21
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Suh S, Sharma A, Lee S, Cho CY, Kim JH, Choi SB, Kim H, Seong HH, Yeon SH, Kim DH, Ko YG. Genetic diversity and relationships of korean chicken breeds based on 30 microsatellite markers. ASIAN-AUSTRALASIAN JOURNAL OF ANIMAL SCIENCES 2014; 27:1399-405. [PMID: 25178290 PMCID: PMC4150171 DOI: 10.5713/ajas.2014.14016] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/06/2014] [Revised: 03/21/2014] [Accepted: 06/03/2014] [Indexed: 11/27/2022]
Abstract
The effective management of endangered animal genetic resources is one of the most important concerns of modern breeding. Evaluation of genetic diversity and relationship of local breeds is an important factor towards the identification of unique and valuable genetic resources. This study aimed to analyze the genetic diversity and population structure of six Korean native chicken breeds (n = 300), which were compared with three imported breeds in Korea (n = 150). For the analysis of genetic diversity, 30 microsatellite markers from FAO/ISAG recommended diversity panel or previously reported microsatellite markers were used. The number of alleles ranged from 2 to 15 per locus, with a mean of 8.13. The average observed heterozygosity within native breeds varied between 0.46 and 0.59. The overall heterozygote deficiency (F IT) in native chicken was 0.234±0.025. Over 30.7% of F IT was contributed by within-population deficiency (F IS). Bayesian clustering analysis, using the STRUCTURE software suggested 9 clusters. This study may provide the background for future studies to identify the genetic uniqueness of the Korean native chicken breeds.
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Affiliation(s)
- Sangwon Suh
- Animal Genetic Resources Station, National Institute of Animal Science, RDA, Namwon 590-832, Korea
| | - Aditi Sharma
- Hanwoo Experiment Station, Pyeongchang 232-950, Korea
| | - Seunghwan Lee
- Hanwoo Experiment Station, Pyeongchang 232-950, Korea
| | - Chang-Yeon Cho
- Animal Genetic Resources Station, National Institute of Animal Science, RDA, Namwon 590-832, Korea
| | - Jae-Hwan Kim
- Animal Genetic Resources Station, National Institute of Animal Science, RDA, Namwon 590-832, Korea
| | - Seong-Bok Choi
- Animal Genetic Resources Station, National Institute of Animal Science, RDA, Namwon 590-832, Korea
| | - Hyun Kim
- Animal Genetic Resources Station, National Institute of Animal Science, RDA, Namwon 590-832, Korea
| | - Hwan-Hoo Seong
- Animal Genetic Resources Station, National Institute of Animal Science, RDA, Namwon 590-832, Korea
| | | | - Dong-Hun Kim
- Animal Genetic Resources Station, National Institute of Animal Science, RDA, Namwon 590-832, Korea
| | - Yeoung-Gyu Ko
- Animal Genetic Resources Station, National Institute of Animal Science, RDA, Namwon 590-832, Korea
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22
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Tadano R, Kinoshita K, Mizutani M, Tsudzuki M. Comparison of microsatellite variations between Red Junglefowl and a commercial chicken gene pool. Poult Sci 2014; 93:318-25. [PMID: 24570452 DOI: 10.3382/ps.2013-03547] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
It is assumed that Red Junglefowl (Gallus gallus) is one of the main ancestors of domestic chickens (Gallus gallus domesticus). Differences in microsatellite polymorphisms between Red Junglefowl and modern commercial chickens, which are used for egg and meat production, have not been fully reported. A total of 361 individuals from 1 Red Junglefowl population that has been maintained as a closed flock, 5 final cross-bred commercial layer populations (white-, tinted-, and brown-egg layers), and 2 final cross-bred commercial broiler populations were genotyped for 40 autosomal microsatellite loci. We compared microsatellite variations in Red Junglefowl with those in a commercial chicken gene pool. The contribution of each population to the genetic diversity was also estimated based on the molecular coancestry. In total, 302 distinct alleles were detected in 1 Red Junglefowl and 7 commercial chicken populations, of which 31 alleles (10.3%) were unique to Red Junglefowl, most of which occurred at a high frequency. The genetic differentiation between Red Junglefowl and commercial chickens (pairwise FST) ranged from 0.32 to 0.47. According to the neighbor-joining tree based on the modified Cavalli-Sforza chord distances and the Bayesian clustering analysis, Red Junglefowl was genetically distant from the commercial chicken gene pool tested. In all of the populations analyzed, Red Junglefowl made the highest contribution to genetic diversity. These results suggest that Red Junglefowl has a distinct distribution of microsatellite alleles and that there is a high level of genetic divergence between Red Junglefowl and commercial chickens.
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Affiliation(s)
- R Tadano
- Faculty of Applied Biological Sciences, Gifu University, Gifu 501-1193, Japan
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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: 1.5] [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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Fonteque GV, Battilana J, Paludo E, Lima-Rosa CADV. Genetic polymorphism of fifteen microsatellite loci in Brazilian (blue-egg Caipira) chickens. PESQUISA VETERINÁRIA BRASILEIRA 2014. [DOI: 10.1590/s0100-736x2014000100016] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
The purpose of this study was to investigate the genetic polymorphism of fifteen microsatellites loci in Brazilian (blue-egg Caipira) chickens. Samples were collected from 100 blue eggs of Caipira chickens from rural properties in the city of Dois Lajeados, RS. After DNA extraction, the fragments related to molecular markers LEI0248, LEI0221, LEI0214, LEI0192, LEI0217, LEI0254, LEI0194, LEI0212, MCW0371, ADL0278, LEI0234, MCW0183, MCW0216, MCW0330 and MCW0081 were obtained by polymerase chain reaction (PCR). The statistical analysis were carried out with the softwares ARLEQUIN 3.5 version and CERVUS 3.0.3 version. The allelic and genotypic frequencies, deviations from Hardy-Weinberg equilibrium, estimates of observed (HO) and expected (HE) heterozygosity and polymorphic information content (PIC) were obtained for each marker locus. A total of 186 alleles from 15 loci were obtained, with sizes ranging of 83 to 490 base pairs. The medium number of alleles was 12.4, the HE was 0.76±0.14 and HO was 0.49±0.21 and PIC was 0.706. The first conclusion is that the microsatellites used are polymorphic and can be used to genetic studies in chickens. The second is that the "Caipira" chicken (blue eggs) population investigated has a great genic variability, which makes than an important source of genetic resources for future animal breeding programs.
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Nikbakht G, Esmailnejad A, Barjesteh N. LEI0258 microsatellite variability in Khorasan, Marandi, and Arian chickens. Biochem Genet 2013; 51:341-9. [PMID: 23340766 DOI: 10.1007/s10528-013-9567-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2011] [Accepted: 10/27/2012] [Indexed: 10/27/2022]
Abstract
Microsatellite LEI0258 is a genetic marker for chicken MHC haplotypes and can be used as an indicator of the influence of population genetics on immune responses. LEI0258 microsatellite variability in three Iranian indigenous chicken populations (Khorasan, Marandi, and Arian) was investigated. In total, 142 Khorasan, 42 Marandi, and 58 Arian chickens were examined. Collectively, 25 different alleles and 79 genotypes could be found. The observed levels of heterozygosity were 81% in Khorasan and Marandi and 34% in Arian chickens. Our results indicate that LEI0258 diversity in Marandi chickens is higher than in the other populations. Allelic diversity in Iranian chickens is relatively higher than in the local chicken breeds reported for Brazil and Vietnam.
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Affiliation(s)
- Gholamreza Nikbakht
- Department of Microbiology and Immunology, Faculty of Veterinary Medicine, University of Tehran, Azadi Avenue, Tehran, Iran.
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The Genetic Diversity of Eight Chicken Populations Assessed by 102 Indels Markers. J Poult Sci 2013. [DOI: 10.2141/jpsa.0120088] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
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Zanetti E, De Marchi M, Abbadi M, Cassandro M. Variation of genetic diversity over time in local Italian chicken breeds undergoing in situ conservation. Poult Sci 2011; 90:2195-201. [DOI: 10.3382/ps.2011-01527] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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Shimogiri T, Nishida N, Kudo M, Niwa K, Nishibori M, Kinoshita K, Okamoto S, Maeda Y, Tokunaga K, Yasue H. Genetic relationships between Japanese native and commercial breeds using 70 chicken autosomal SNP genotypes by the DigiTag2 assay. Anim Genet 2011; 43:98-103. [PMID: 22221031 DOI: 10.1111/j.1365-2052.2011.02206.x] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Recently, single nucleotide polymorphisms (SNPs) have been used to identify genes or genomic regions responsible for economic traits, including genetic diseases in domestic animals, and to examine genetic diversity of populations. In this study, we genotyped 70 chicken autosomal SNPs using DigiTag2 assay to understand the genetic structure of the Japanese native chicken breeds Satsumadori and Ingie, and the relationship of these breeds with other established breeds, Rhode Island Red (RIR), commercial broiler and layer. Five breeds, each consisting of approximately 20 chickens, were subjected to the assay, revealing the following: Average expected heterozygosities of broiler, Satsumadori, RIR, layer and Ingie were 0.265, 0.254, 0.244, 0.179 and 0.176, respectively. Phylogenetic analysis using the concatenated 70 autosomal SNP genotypes distinguished all chickens and formed clusters of chickens belonging to the respective breeds. In addition, the 2-D scatter plot of the first two principal components was consistent with the phylogenic tree. Taken together with the pairwise F(st) distances, broiler and RIR were closely positioned near each other, while Ingie was positioned far from the other breeds. Structure analysis revealed that the probable number of genetic clusters (K) was six and four with maximum likelihood and ΔK values, respectively. The clustering with maximum likelihood revealed that, in addition to the clustering of the other five breeds, the Satsumadori was subdivided into two genetic clusters. The clustering with ΔK value indicated that the broiler and Rhode Island Red were assigned to the same genetic cluster.
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Affiliation(s)
- T Shimogiri
- Faculty of Agriculture, Kagoshima University, Kagoshima, Japan
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Eltanany M, Philipp U, Weigend S, Distl O. Genetic diversity of ten Egyptian chicken strains using 29 microsatellite markers. Anim Genet 2011; 42:666-9. [PMID: 22035011 DOI: 10.1111/j.1365-2052.2011.02185.x] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
In this study, we assessed the genetic diversity of three Egyptian local chicken strains (Fayoumi, Dandarawi and Sinai) and six synthetic breeds derived from Fayoumi and Sinai by intercrossing with Barren Plymouth Rock, Rhode Island Red or White Cornish. Diversity measures were based on interrogation of 29 microsatellites. We identified three main clusters of chicken populations encompassing selected Fayoumi lines and Doki-4 (cluster-1), native Dandarawi (cluster-2) and Sinai, and all six synthetic breeds (cluster-3). Dandarawi and Fayoumi lines exhibited lower intra-population genetic diversity and allelic privacy than Sinai and synthetic breeds. The global inbreeding (F(IT) ) was 0.11, among-population differentiation (F(ST) ) was 0.07, and within-population differentiation (F(IS) ) was 0.04. The between-population marker-estimated kinship was lower than within-population estimates. The cluster analysis classified the Fayoumi lines, Dandarawi and Gimmizah as clearly separated populations. The other strains were configured in mosaic admixed groups.
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Affiliation(s)
- M Eltanany
- Department of Animal Wealth Development, Faculty of Veterinary Medicine, Benha University, Moshtohor, Toukh, Egypt
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Andres K, Kapkowska E. Applicability of anatid and galliform microsatellite markers to the genetic diversity studies of domestic geese (Anser anser domesticus) through the genotyping of the endangered zatorska breed. BMC Res Notes 2011; 4:65. [PMID: 21410974 PMCID: PMC3069940 DOI: 10.1186/1756-0500-4-65] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2010] [Accepted: 03/16/2011] [Indexed: 11/10/2022] Open
Abstract
Background The lack of a sufficient number of molecular markers seriously limits the cognition of genetic relationships within and between populations of many species. Likewise, the genetic diversity of domestic goose (Anser anser domesticus), with a great number of breeds throughout the world, remains poorly understood at the molecular level. Findings Thirty-five goose, seventeen duck and eight chicken microsatellite primer pairs were screened for their utility in the cross-species amplification on DNA from 96 individuals of Zatorska breed of domestic geese. Twenty-seven of 42 amplifying primer pairs revealed length-polymorphic products, but three of them were difficult to score. Fifteen primer pairs amplifying the same length product across all individuals. One polymorphic microsatellite locus was assigned by genotyping of known sex individuals to the Z-chromosome. Conclusions We present a set of 24 polymorphic microsatellite markers useful for population genetic studies of the domestic goose. Another 15 markers were classified as monomorphic, but they might also be suitable for the assessment of genetic diversity in geese.
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Affiliation(s)
- Krzysztof Andres
- Department of Poultry and Fur Animal Breeding and Animal Hygiene, Agricultural University of Krakow, Mickiewicza 24/28, 30-059 Kraków, Poland.
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Esmaeilkhanian S, Osfori R, Kamali MA, Horn P. Genetic variation among native chicken breeds of Iran based on biochemical polymorphisms. Br Poult Sci 2010; 45:598-603. [PMID: 15623211 DOI: 10.1080/00071660400006230] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
(1) Genetic distances and heterozygosity were determined in 5 Iranian native chickens: Dashtyary, Lary, Marandy, Naked neck and Common breed, using three blood group systems (A, B and D) and 4 serum protein loci (albumin, transferrin, alkaline phosphatase and esterase). (2) The highest D(A) and D(S) were obtained between Dashtyary and Lary breeds. (3) The average heterozygosity for each breed in all loci ranged from 0.330 for Dashtyary to 0.370 for Common breed. (4) Dendrograms based on an unweighted pair-group method using an arithmetic average (UPGMA) showed two distinct clusters. One cluster included Dashtyary and the other contained the remaining 4 breeds.
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Affiliation(s)
- S Esmaeilkhanian
- Research Centre for Agriculture and Natural Resources, Saharak Amir Hamzeh, Iran-Isfahan, Iran
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Nakamura A, Nagao K, Watanabe H, Kondo H. Characteristics of PCR fragments amplified using five microsatellite markers for identifying the Nagoya breed. Anim Sci J 2010; 81:438-43. [PMID: 20662812 DOI: 10.1111/j.1740-0929.2010.00754.x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
The Nagoya breed is a native chicken of Aichi Prefecture, Japan, a dual-purpose breed for eggs and meat. A method for distinguishing the Nagoya breed from Aichi Prefecture from other chickens using five microsatellite markers (ABR0015, ABR0257, ABR0417, ABR0495 and ADL0262) has already been utilized in order to check the authenticity of Nagoya breed-labeled chicken on the market. The present study was conducted to investigate nucleotide sequences and sizes of PCR fragments containing the five microsatellite regions for the Nagoya breed and to confirm that the genomic identification could continue to be applied in the future. The DNA sequencing of fragments containing the five markers showed that ABR0015, ABR0417 and ABR0495 had a single haplotype, ABR0257 had three haplotypes, and ADL0262 had two haplotypes, although all the markers exhibited one fixed fragment size each upon sequencing of the fragments and fragment analysis. The results of the fragment analysis of each marker using DNA samples of 28 Nagoya breed males (G0 generation) reared in 2000-2001 and 20 of their offspring males (G8) reared in 2008-2009 showed one fixed fragment size in both populations. Therefore, we confirmed that the five microsatellite markers are useful tools for accurately distinguishing the Nagoya breed from other chickens.
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Zanetti E, De Marchi M, Dalvit C, Cassandro M. Genetic characterization of local Italian breeds of chickens undergoing in situ conservation. Poult Sci 2010; 89:420-7. [PMID: 20181856 DOI: 10.3382/ps.2009-00324] [Citation(s) in RCA: 62] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
The objectives of this study were to determine genetic variation and to analyze population structure of 6 Italian local chicken breeds involved in a conservation program. Twenty microsatellite markers were investigated in 337 birds belonging to 6 breeds: Ermellinata di Rovigo, Robusta Maculata, Robusta Lionata, Pépoi, Padovana, and Polverara; a commercial layer cross was used as reference. One hundred twelve alleles were detected in the overall population, with a mean number of 5.6 +/- 2.1 alleles per locus. For the local breeds, the observed and expected heterozygosity ranged from a minimum of 0.240 to a maximum of 0.413 and from 0.243 to 0.463 for the Pépoi and Polverara breeds, respectively. Deviation from Hardy-Weinberg equilibrium was observed in 5 breeds and in the commercial cross. The overall population heterozygote deficiency was 0.427, the average inbreeding coefficient was 0.097, and the heterozygote deficiency due to breed subdivisions was 0.437. Reynolds' distances were used to draw an unrooted neighbor-joining tree, which topology gave information on the genetic origin of these breeds and confirmed their known history. The estimated molecular kinship within a breed ranged from 0.559 to 0.769, evidencing high coancestry. Structure analysis was performed to detect the presence of population substructures. Inferred clusters corresponded to the different breeds, without presence of admixture. The exception was the Polverara breed, for which a more complex genetic structure was found. The results supported the decision of safeguarding these breeds as an important reservoir of genetic diversity and confirmed the usefulness of microsatellite markers to characterize and to monitor genetic variability in local chicken breeds.
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Affiliation(s)
- E Zanetti
- Department of Animal Science, University of Padova, Viale dell'Università, Legnaro (PD), Italy
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Tadano R, Nishibori M, Tsudzuki M. Genetic structure and differentiation of the Japanese extremely long-tailed chicken breed (Onagadori), associated with plumage colour variation: suggestions for its management and conservation. Anim Genet 2009; 40:989-92. [DOI: 10.1111/j.1365-2052.2009.01955.x] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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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: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
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37
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Analysis of genetic diversity and phylogenetic relationships among red jungle fowls and Chinese domestic fowls. ACTA ACUST UNITED AC 2008; 51:560-8. [DOI: 10.1007/s11427-008-0076-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2006] [Accepted: 04/15/2008] [Indexed: 11/26/2022]
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Tadano R, Nishibori M, Imamura Y, Matsuzaki M, Kinoshita K, Mizutani M, Namikawa T, Tsudzuki M. High genetic divergence in miniature breeds of Japanese native chickens compared to Red Junglefowl, as revealed by microsatellite analysis. Anim Genet 2008; 39:71-8. [DOI: 10.1111/j.1365-2052.2007.01690.x] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Mwacharo JM, Nomura K, Hanada H, Jianlin H, Hanotte O, Amano T. Genetic relationships among Kenyan and other East African indigenous chickens. Anim Genet 2007; 38:485-90. [PMID: 17894562 DOI: 10.1111/j.1365-2052.2007.01641.x] [Citation(s) in RCA: 37] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
In this study, 30 microsatellite markers recommended by the International Society for Animal Genetics and the Food and Agriculture Organization were used to determine the extent of genetic differentiation and phylogenetic relationships among indigenous chicken populations sampled in Kenya, Uganda, Ethiopia and Sudan. Genetic differentiation (F(ST)) and chord genetic distances (D(C)) indicated that the indigenous chickens were genetically related but distinct from commercial broiler and egg layer lines. Genetic divergence among the indigenous chickens determined using the Mantel test was significantly influenced (P < 0.001) by geographic (reproductive) isolation. Genetic subdivisions were found between the Kenyan/Ugandan chicken populations and Ethiopian/Sudanese chicken populations. The Marsabit chicken population from northern Kenya was the most genetically distinct population within the Kenyan and Ugandan chicken cluster, thus warranting further investigation.
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Affiliation(s)
- J M Mwacharo
- Laboratory of Animal Genetics and Breeding, Department of Animal Science, Tokyo University of Agriculture, 1737 Funako Atsugi-shi, Kanagawa 243-0034, Japan
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Tadano R, Nishibori M, Nagasaka N, Tsudzuki M. Assessing Genetic Diversity and Population Structure for Commercial Chicken Lines Based on Forty Microsatellite Analyses. Poult Sci 2007; 86:2301-8. [DOI: 10.3382/ps.2007-00233] [Citation(s) in RCA: 37] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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Twito T, Weigend S, Blum S, Granevitze Z, Feldman MW, Perl-Treves R, Lavi U, Hillel J. Biodiversity of 20 chicken breeds assessed by SNPs located in gene regions. Cytogenet Genome Res 2007; 117:319-26. [PMID: 17675874 DOI: 10.1159/000103194] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2006] [Accepted: 09/27/2006] [Indexed: 11/19/2022] Open
Abstract
Twenty-five single nucleotide polymorphisms (SNPs) were analyzed in 20 distinct chicken breeds. The SNPs, each located in a different gene and mostly on different chromosomes, were chosen to examine the use of SNPs in or close to genes (g-SNPs), for biodiversity studies. Phylogenetic trees were constructed from these data. When bootstrap values were used as a criterion for the tree repeatability, doubling the number of SNPs from 12 to 25 improved tree repeatability more than doubling the number of individuals per population, from five to ten. Clustering results of these 20 populations, based on the software STRUCTURE, are in agreement with those previously obtained from the analysis of microsatellites. When the number of clusters was similar to the number of populations, affiliation of birds to their original populations was correct (>95%) only when at least the 22 most polymorphic SNP loci (out of 25) were included. When ten populations were clustered into five groups based on STRUCTURE, we used membership coefficient (Q) of the major cluster at each population as an indicator for clustering success level. This value was used to compare between three marker types; microsatellites, SNPs in or close to genes (g-SNPs) and SNPs in random fragments (r-SNPs). In this comparison, the same individuals were used (five to ten birds per population) and the same number of loci (14) used for each of the marker types. The average membership coefficients (Q) of the major cluster for microsatellites, g-SNPs and r-SNPs were 0.85, 0.7, and 0.64, respectively. Analysis based on microsatellites resulted in significantly higher clustering success due to their multi-allelic nature. Nevertheless, SNPs have obvious advantages, and are an efficient and cost-effective genetic tool, providing broader genome coverage and reliable estimates of genetic relatedness.
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Affiliation(s)
- T Twito
- Faculty of Agriculture, The Hebrew University of Jerusalem, Rehovot, Israel
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Shahbazi S, Mirhosseini SZ, Romanov MN. Genetic diversity in five Iranian native chicken populations estimated by microsatellite markers. Biochem Genet 2007; 45:63-75. [PMID: 17203406 DOI: 10.1007/s10528-006-9058-6] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
Iranian chicken genetic resources are characterized by a long history and a vast diversity. This study represents the first results from the selection and evaluation of five polymorphic microsatellite markers for the genetic assessment of five native chicken populations located in the northwestern (West Azerbaijan), northern (Mazandaran), central (Isfahan, Yazd), and southern (Fars) provinces of Iran. The number of alleles ranged from three to six per microsatellite locus. All populations were characterized by a high degree of genetic diversity, with the lowest heterozygosity found in the Isfahan population (62%) and the greatest in the populations from West Azerbaijan and Mazandaran (79%). The largest Nei's unbiased genetic distance was found between the Isfahan and Fars populations (0.696) and the smallest between the Mazandaran and Yazd populations (0.097). The Isfahan population was found to be the most genetically distant among all populations studied. These results serve as an initial step in the plan for genetic characterization and conservation of Iranian native chickens.
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Affiliation(s)
- Saleh Shahbazi
- Education Division, Iranian Academic Centre for Education, Culture and Research, PO Box 56135-696, Ardabil, Iran
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Tadano R, Sekino M, Nishibori M, Tsudzuki M. Microsatellite Marker Analysis for the Genetic Relationships Among Japanese Long-Tailed Chicken Breeds. Poult Sci 2007; 86:460-9. [PMID: 17297157 DOI: 10.1093/ps/86.3.460] [Citation(s) in RCA: 46] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
The present study was conducted to evaluate the genetic diversity and relationships of 9 native Japanese long-tailed chicken breeds (Shoukoku, Koeyoshi, Kurokashiwa, Minohiki, Ohiki, Onagadori, Satsumadori, Toumaru, and Toutenkou) together with 2 commercial breeds (White Leghorn and White Plymouth Rock), using 40 polymorphic microsatellite markers covering 23 linkage groups. The 8 breeds mentioned, except for Shoukoku and 2 commercial breeds, were believed to be descendants derived from crossings of the ancestor of Shoukoku and some other breeds. Three to 14 alleles per locus were detected across all the breeds. The mean number of alleles per locus, the mean unbiased expected heterozygosity, and the mean polymorphic information content ranged from 2.60 (Minohiki) to 4.07 (Shoukoku), from 0.293 (Koeyoshi) to 0.545 (Satsumadori), and from 0.250 (Koeyoshi) to 0.478 (Satsumadori), respectively. The mean fixation coefficient of subpopulation within the total population of 9 Japanese long-tailed breeds showed that approximately 38% of the genetic variation was caused by breed differences and 62% was due to differences among individuals. Toumaru had the largest number of breed-specific alleles with relatively high (>20%) frequency. In the phylogenetic tree of 11 breeds constructed by the neighbor-joining method from modified Cavalli-Sforza chord genetic distance measure, White Leghorn and White Plymouth Rock clustered together apart from the Japanese breeds. Among the Japanese long-tailed breeds, Toumaru, Kurokashiwa, and Koeyoshi showed relatively far distance from the other breeds. The Ohiki, Onagadori, Shoukoku, and Toutenkou were grouped into the same branch. Minohiki and Satsumadori were also clustered together. Kurokashiwa was not genetically close to Shoukoku, differing from a traditional hypothsis. It was confirmed in the present study that the microsatellite is a suitable tool to evaluate genetic diversity and relationships in chicken breeds.
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Affiliation(s)
- R Tadano
- Laboratory of Animal Breeding and Genetics, Graduate School of Biosphere Science, Hiroshima University, Higashi-Hiroshima, Hiroshima 739-8528, Japan
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Genetic Diversity and Differentiation of the Nagoya Breed Inferred from Microsatellite DNA Polymorphisms. J Poult Sci 2007. [DOI: 10.2141/jpsa.44.135] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
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Nakamura A, Kino K, Minezawa M, Noda K, Takahashi H. A Method for Discriminating a Japanese Chicken, the Nagoya Breed, Using Microsatellite Markers. Poult Sci 2006; 85:2124-9. [PMID: 17135667 DOI: 10.1093/ps/85.12.2124] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
The Nagoya breed native to Japan is popular as a dual-purpose breed for eggs and meat. The current study describes a method to discriminate between the Nagoya breed and other breeds and commercial stocks of chicken. Four strains of the Nagoya breed established at the Aichi-ken Agricultural Research Center were analyzed using 25 microsatellite markers. In these strains, 5 of the markers (ABR0015, ABR0257, ABR0417, ABR0495, and ADL0262) had a single allele. Other chicken samples (448) of various breeds and hybrids were analyzed using the same 5 markers. None of these chicken samples had the same allele combination as the Nagoya breed strains. These 5 microsatellite markers provide a practical method to accurately discriminate the Nagoya breed from other chicken breeds.
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Affiliation(s)
- A Nakamura
- Poultry Laboratory, Animal Husbandry Research Division, Aichi-ken Agricultural Research Center, Sagamine, Yazako, Nagakute, Aichi 480-1193, Japan
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Qu L, Li X, Xu G, Chen K, Yang H, Zhang L, Wu G, Hou Z, Xu G, Yang N. Evaluation of genetic diversity in Chinese indigenous chicken breeds using microsatellite markers. ACTA ACUST UNITED AC 2006; 49:332-41. [PMID: 16989278 DOI: 10.1007/s11427-006-2001-6] [Citation(s) in RCA: 34] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
China is rich in chicken genetic resources, and many indigenous breeds can be found throughout the country. Due to poor productive ability, some of them are threatened by the commercial varieties from domestic and foreign breeding companies. In a large-scale investigation into the current status of Chinese poultry genetic resources, 78 indigenous chicken breeds were surveyed and their blood samples collected. The genomes of these chickens were screened using microsatellite analysis. A total of 2740 individuals were genotyped for 27 microsatellite markers on 13 chromosomes. The number of alleles of the 27 markers ranged from 6 to 51 per locus with a mean of 18.74. Heterozygosity (H) values of the 78 chicken breeds were all more than 0.5. The average H value (0.622) and polymorphism information content (PIC, 0.573) of these breeds suggested that the Chinese indigenous chickens possessed more genetic diversity than that reported in many other countries. The fixation coefficients of subpopulations within the total population (F(ST)) for the 27 loci varied from 0.065 (LEI0166) to 0.209 (MCW0078), with a mean of 0.106. For all detected microsatellite loci, only one (LEI0194) deviated from Hardy-Weinberg equilibrium (HWE) across all the populations. As genetic drift or non-random mating can occur in small populations, breeds kept on conservation farms such a Langshan chicken generally had lower H values, while those kept on large populations within conservation regions possessed higher polymorphisms. The high genetic diversity in Chinese indigenous breeds is in agreement with great phenotypic variation of these breeds. Using Nei's genetic distance and the Neighbor-Joining method, the indigenous Chinese chickens were classified into six categories that were generally consistent with their geographic distributions. The molecular information of genetic diversity will play an important role in conservation, supervision, and utilization of the chicken resources.
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Affiliation(s)
- Lujiang Qu
- College of Animal Science and Technology, China Agricultural University, Beijing 100094, China
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Shiue YL, Chen LR, Chen CF, Chen YL, Ju JP, Chao CH, Lin YP, Kuo YM, Tang PC, Lee YP. Identification of transcripts related to high egg production in the chicken hypothalamus and pituitary gland. Theriogenology 2006; 66:1274-83. [PMID: 16725186 DOI: 10.1016/j.theriogenology.2006.03.037] [Citation(s) in RCA: 34] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2005] [Accepted: 03/05/2006] [Indexed: 11/27/2022]
Abstract
To identify transcripts related to high egg production expressed specifically in the hypothalamus and pituitary gland of the chicken, two subtracted cDNA libraries were constructed. Two divergently selected strains of Taiwan Country Chickens (TCCs), B (sire line) and L2 (dam line) were used; they had originated from a single population and were further subjected (since 1982) to selection for egg production to 40 wk of age and body weight/comb size, respectively. A total of 324 and 370 clones were identified from the L2-B (L2-subtract-B) and the B-L2 subtracted cDNA libraries, respectively. After sequencing and annotation, 175 and 136 transcripts that represented 53 known and 65 unknown non-redundant sequences were characterized in the L2-B subtracted cDNA library. Quantitative reverse-transcription (RT)-PCR was used to screen the mRNA expression levels of 32 randomly selected transcripts in another 78 laying hens from five different strains. These strains included the two original strains (B and L2) used to construct the subtracted cDNA libraries and an additional three commercial strains, i.e., Black- and Red-feather TCCs and Single-Comb White Leghorn (WL) layer. The mRNA expression levels of 16 transcripts were significantly higher in the L2 than in the B strain, whereas the mRNA expression levels of nine transcripts, BDH, NCAM1, PCDHA@, PGDS, PLAG1, PRL, SAR1A, SCG2 and STMN2, were significantly higher in two high egg production strains, L2 and Single-Comb WL; this indicated their usefulness as molecular markers of high egg production.
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Affiliation(s)
- Yow-Ling Shiue
- Institute of Biomedical Science, National Sun Yat-sen University, Kaohsiung, Taiwan
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Chen LR, Chao CH, Chen CF, Lee YP, Chen YL, Shiue YL. Expression of 25 high egg production related transcripts that identified from hypothalamus and pituitary gland in red-feather Taiwan country chickens. Anim Reprod Sci 2006; 100:172-85. [PMID: 16919900 DOI: 10.1016/j.anireprosci.2006.07.005] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2006] [Revised: 06/19/2006] [Accepted: 07/07/2006] [Indexed: 10/24/2022]
Abstract
Expression levels of 33 high egg production candidate transcripts in Red-feather Taiwan country chickens (TCCs) were examined by quantitative reverse-transcription (RT) polymerase chain reactions (PCR) in this study. Candidate transcripts were previously identified from a L2-B (L2-subtract-B) hypothalamus/pituitary gland subtractive cDNA library. In this subtractive cDNA library, two divergently selected strains of TCCs, B and L2 were used. These two strains were originated from one single population and were further subjected (since 1982) to the selections of body weight/comb size (B) and eggs to 40wk of age (L2), respectively. Hypothalamuses and pituitary glands that sampled from Red-feather TCCs were previously grouped into high (Red-high; n=20) and low (Red-low; n=20) egg productions based on the rate of lay after 1st egg (hen-day laying rate; %). Rates of lay after 1st egg (mean+/-S.E.) in the Red-high and the Red-low subpopulations were 72.2+/-0.6 and 23.0+/-3.5, respectively (P<0.01). Quantitative RT-PCR validated that 25 candidate transcripts were significantly higher expressed in the Red-high than in the Red-low hens. These transcripts were ANP32A, BDH, CDC42, CNTN1, COMT, CPE, CTNNB1, DIO2, EIF4E, GARNL1, HSPCA, LAPTM4B, MBP, NAP1L4, NCAM1, PARK7, PCDHA@, PGDS, PLAG1, PRL, RAD21, SAR1A, SCG2, STMN1 and UFM1. Among these transcripts, 15 (79.0%), 13 (68.4%), and 12 (63.2%) genes were annotated to involve in cellular physiological process (GO:0050875), metabolism (GO:0008152) and cell communication (GO:0007154). Identified transcripts that related to high egg production are most active in focal adhesion, adherens junction, MAPK signaling, tight junction and cell adhesion pathways.
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Affiliation(s)
- Lih-Ren Chen
- Division of Physiology, Livestock Research Institute, Council of Agriculture, Tainan, Taiwan
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