Functional genes mapped on the chicken genome

Genetic diversity and relationships of korean chicken breeds based on 30 microsatellite markers

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.

Genetic evidence from Indian red jungle fowl corroborates multiple domestication of modern day chicken

Background

Domestication of chicken is believed to have occurred in Southeast Asia, especially in Indus valley. However, non-inclusion of Indian red jungle fowl (RJF), Gallus gallus murghi in previous studies has left a big gap in understanding the relationship of this major group of birds. In the present study, we addressed this issue by analyzing 76 Indian birds that included 56 G. g. murghi (RJF), 16 G. g. domesticus (domestic chicken) and 4 G. sonneratii (Grey JF) using both microsatellite markers and mitochondrial D-loop sequences. We also compared the D-loop sequences of Indian birds with those of 779 birds obtained from GenBank.

Results

Microsatellite marker analyses of Indian birds indicated an average F_ST of 0.126 within G. g. murghi, and 0.154 within G. g. domesticus while it was more than 0.2 between the two groups. The microsatellite-based phylogenetic trees showed a clear separation of G. g. domesticus from G. g. murghi, and G. sonneratii. Mitochondrial DNA based mismatch distribution analyses showed a lower Harpending's raggedness index in both G. g. murghi (0.001515) and in Indian G. g. domesticus (0.0149) birds indicating population expansion. When meta analysis of global populations of 855 birds was carried out using median joining haplotype network, 43 Indian birds of G. g. domesticus (19 haplotypes) were distributed throughout the network sharing haplotypes with the RJFs of different origins.

Conclusion

Our results suggest that the domestication of chicken has occurred independently in different locations of Asia including India. We found evidence for domestication of Indian birds from G. g. spadiceus and G. g. gallus as well as from G. g. murghi, corroborating multiple domestication of Indian and other domestic chicken. In contrast to the commonly held view that RJF and domestic birds hybridize in nature, the present study shows that G. g. murghi is relatively pure. Further, the study also suggested that the chicken populations have undergone population expansion, especially in the Indus valley.

Chromosomal localization of seven HSA3q13-->q23 NotI linking clones on chicken microchromosomes: orthology of GGA14 and GGA15 to a gene-rich region of HSA3

Double-color fluorescence in situ hybridization was performed on chicken chromosomes using seven unique clones from the human chromosome 3-specific NotI linking libraries. Six of them (NL1-097, NL2-092, NL2-230, NLM-007, NLM-118, and NLM-196) were located on the same chicken microchromosome and NL1-290 on another. Two chicken microchromosome GGA15-specific BAC clones, JE024F14 containing the IGVPS gene and JE020G17 containing the ALDH1A1 gene, were cytogenetically mapped to the same microchromosome that carried the six NotI linking clones, allowing identification of this chromosome as GGA15. Two GGA14-specific clones, JE027C23 and JE014E08 containing the HBA gene cluster, were co-localized on the same microchromosome as NL1-290, suggesting that this chromosome was GGA14. The results indicated that the human chromosomal region HSA3q13-->q23 is likely to be orthologous to GGA15 and GGA14. The breakpoint of evolutionary conservation of human and chicken chromosomes was detected on HSA3q13.3-->q23 between NL1-290, on the one hand, and six other NotI clones, on the other hand. Considering the available chicken-human comparative mapping data, another breakpoint appears to exist between the above NotI loci and four other genes, TFRC, EIF4A2, SKIL and DHX36 located on HSA3q24-->qter and GGA9. Based on human sequences within the NotI clones, localization of the six new chicken coding sequences orthologous to the human/rodent genes was suggested to be on GGA15 and one on GGA14. Microchromosomal location of seven NotI clones from the HSA3q21 T-band region can be considered as evidence in support of our hypothesis about the functional analogy of mammalian T-bands and avian microchromosomes.

A radiation hybrid map of chicken Chromosome 4

The mapping resolution of the physical map for chicken Chromosome 4 (GGA4) was improved by a combination of radiation hybrid (RH) mapping and bacterial artificial chromosome (BAC) mapping. The ChickRH6 hybrid panel was used to construct an RH map of GGA4. Eleven microsatellites known to be located on GGA4 were included as anchors to the genetic linkage map for this chromosome. Based on the known conserved synteny between GGA4 and human Chromosomes 4 and X, sequences were identified for the orthologous chicken genes from these human chromosomes by BLAST analysis. These sequences were subsequently used for the development of STS markers to be typed on the RH panel. Using a logarithm of the odds (LOD) threshold of 5.0, nine linkage groups could be constructed which were aligned with the genetic linkage map of this chromosome. The resulting RH map consisted of the 11 microsatellite markers and 50 genes. To further increase the number of genes on the map and to provide additional anchor points for the physical BAC map of this chromosome, BAC clones were identified for 22 microsatellites and 99 genes. The combined RH and BAC mapping approach resulted in the mapping of 61 genes on GGA4 increasing the resolution of the chicken-human comparative map for this chromosome. This enhanced comparative mapping resolution enabled the identification of multiple rearrangements between GGA4 and human Chromosomes 4q and Xp.

Genetic diversity at the major histocompatibility complex (B) and microsatellite loci in three commercial broiler pure lines

Genetic diversity at the MHC and non-MHC loci was investigated in three commercial broiler chicken pure lines. The MHC class II and IV loci were evaluated in Southern hybridizations and molecular genotypes based on RFLP were interpreted from pedigreed families. Four MHC class II and eight class IV genotypes were identified in the broiler lines, and their frequencies differed among the lines. Line-specific MHC genotypes were identified. The observed heterozygosities (59 to 67%) suggest that the MHC loci are highly polymorphic in the broiler lines. At least 9% of the genetic variation at the MHC was due to line differences; the remainder reflected individual variations. To characterize non-MHC genes, 41 microsatellite loci located throughout the chicken genome were evaluated in the broiler lines. Genetic variation was also observed at the microsatellite loci for the broiler lines; the number of alleles at a single locus ranged from one to eight, and the average number of alleles per locus was 3.5, 2.8, and 3.1 for each of the lines, respectively. The observed heterozygosities for microsatellite loci ranged between 0 and 89% in the lines. Based on the fixation index (Fst), about 19% of the genetic variation at microsatellite loci was attributed to broiler line differences. Deviations from Hardy-Weinberg equilibrium were detected at both MHC and non-MHC loci. Possible explanations for these deviations include genetic selection by the primary broiler breeder or the presence of null alleles that were not identified by the typing procedures described in this report. This study contributes to our knowledge on the molecular characteristics and genetic structure of a commercial broiler chicken population. Analysis of MHC and non-MHC loci suggests that there is still sufficient genetic diversity in the broiler lines to continue the progress toward improved broiler chicken production.

Development of 112 unique expressed sequence tags from chicken liver using an arbitrarily primed reverse transcriptase-polymerase chain reaction and single strand conformation gel purification method

In order to provide information on chicken genome expression, expressed sequence tags (ESTs) were developed from chicken liver RNAs using a method based on arbitrarily primed reverse transcription-polymerase chain reaction (RT-PCR) of total RNAs. The method is similar to differential display, using one base anchored oligo-d(T) reverse-primers and 20-mer arbitrary forward-primers. A purification step by single strand conformation gel electrophoresis was added before sequencing. With a ratio of 112 unique sequences out of 155, we found this method to be highly effective when compared with EST production with randomly selected clones from non-subtracted, non-normalized libraries. A large proportion of the ESTs sequenced correspond to genes involved in transcriptional and post-transcriptional events. Cytogenetic mapping was performed for a subset of ESTs and four regions of conserved synteny between chicken and human were confirmed.

Chicken microsatellite primers are not efficient markers for Japanese quail

Domestic fowl or chicken (Gallus gallus) and Japanese quail (Coturnix japonica) belong to the family Phasianidae. The exchange of marker information between chicken and quail is an important step towards the construction of a high-resolution comparative genetic map in Phasianidae, which includes several poultry species of agricultural importance. We tested chicken microsatellite markers to see if they would be suitable as genetic linkage markers in Japanese quail. Twenty-six per cent (31/120) of chicken primers amplified individual loci in Japanese quail and 65% (20/31) of the amplified loci were found to be polymorphic. Eleven of the polymorphic loci were excluded as uninformative because of the lack of amplification in some individuals or high frequency of nonspecific amplification. The sequence information of the remaining nine loci revealed six of them to contain microsatellites that were nearly identical with those of the orthologous regions in chicken. For these six loci, allele frequencies were estimated in 50 unrelated quails. Although the very few chicken markers that do work well in quail could be used as anchor points for a comparative mapping, most chicken markers are not useful for studies in quail. Therefore, more effort should be committed to developing quail-specific markers rather than attempting to adapt chicken markers for work in quail.

Bayesian segregation analysis of production traits in two strains of laying chickens

A bayesian marker-free segregation analysis was applied to search for evidence of segregating genes affecting production traits in two strains of laying hens under long-term selection. The study used data from 6 generations of Leghorn (H77) and New Hampshire (N88) breeding nuclei. Estimation of marginal posterior means of variance components and parameters of a single autosomal locus was performed by use of the Gibbs sampler. The results showed evidence for a mixed major gene: -polygenic inheritance of BW and age at sexual maturity (ASM) in both strains. Single genes affecting BW and ASM explained one-third of the genetic variance. For ASM large overdominance effect at single locus was estimated. Initial egg production (IEP) and average egg weight (EW) showed a polygenic model of inheritance. The polygenic heritability estimates for BW, ASM, IEP, and EW were 0.32, 0.25, 0.23, and 0.08 in Strain H77 and 0.25, 0.24, 0.11, and 0.38 in Strain N88, respectively.

Screening for highly heterozygous chickens in outbred commercial broiler lines to increase detection power for mapping quantitative trait loci

Two commercial broiler lines were used in an experiment to map quantitative trait loci (QTL) affecting disease resistance. Chickens from these lines were genotyped with 27 microsatellite markers to estimate heterozygosity and polymorphism information content (PIC), the probability that one parent is heterozygous at a marker locus and the other has a different genotype. Heterozygosity estimated from allelic frequencies was 0.52 for the two lines; however, heterozygosity calculated from actual counts of heterozygous loci was much lower (0.36) than the estimated heterozygosity. The PIC was 0.45 in these lines, and average allele number per marker locus was about 3.5. Twenty-five males produced from a cross between these two lines were screened with the DNA markers to select birds with high heterozygosity at marker loci. Mating simulation showed that uninformative matings could be reduced by about 5% if 12 pairs of males and females with the highest heterozygosity at marker loci were selected, which was about a 25% reduction in total uninformative matings. This experiment demonstrated that the heterozygosity and PIC in commercial broiler lines were low and selection for the birds with high heterozygosity at marker loci could increase informative content in chickens used in the experiments of QTL mapping, thus increasing detection power for QTL mapping.

Extending the chicken-human comparative map by placing 15 genes on the chicken linkage map

To increase the number of type I loci on the chicken linkage map, chicken genes containing microsatellite sequences (TAn, CAn, GAn, An) were selected from the nucleotide sequence database and primers were developed to amplify the repeats. Initially, 40 different microsatellites located within genes were tested on a panel of animals from diverse breeds, and identified 17 polymorphic microsatellites. These polymorphisms allowed us to add 15 new genes to the chicken linkage map. In addition, two genes were added to the chicken map by fluorescent in situ hybridization. As the map position of the human homologues of 13 of these genes is known, these markers extend the comparative map between chicken and man. Our results confirm and refine conserved regions between chicken and man on chicken chromosomes 2 and 7 and on linkage group E29C09W09. Furthermore, an additional conserved region is identified on chromosome 7.

A comprehensive microsatellite linkage map of the chicken genome

A comprehensive linkage map of the chicken genome has been developed by segregation analysis of 430 microsatellite markers within a cross between two extreme broiler lines. The population used to construct the linkage map consists of 10 families with a total of 458 F2 individuals. The number of informative meioses per marker varied from 100 to 900 with an average of 400. The markers were placed into 27 autosomal linkage groups and a Z-chromosome-specific linkage group. In addition, 6 markers were unlinked, 1 of which was Z chromosome specific. The coverage within linkage groups is 3062 cM. Although, as in other species, the genetic map of the heterogametic sex (female) is shorter than the genetic map of the homogametic sex (male), the overall difference in length is small (1.15%). Forty-five of the markers represent identified genes or ESTs. Database homology searches with the anonymous markers resulted in the identification of a further 9 genes, bringing the total number of genes/ESTs on the current map to 54. The mapping of these genes led to the identification of two new regions of conserved synteny between human and chicken and confirmed other previously identified regions of conserved synteny between human and chicken. The linkage map has 210 markers in common with the linkage maps based on the East Lansing and Compton reference populations, and most of the corresponding linkage groups in the different maps can be readily aligned.

Map-based quantitative trait locus identification

Poultry gene mappers chose microsatellites as the main source of genetic markers for poultry genome mapping, similar to the marker type used for other farm animals, laboratory animals, and humans. Optimal strategies for applying DNA markers in poultry populations are discussed, including the number of markers to be used, genome representation, population structure, choice of markers, population size, statistical stringency for association between markers and quantitative trait loci (QTL), and biological verification of a linkage. It is shown that an efficient strategy should be based on a combination of a low stringent statistical test for the existence of linkage between a marker and QTL and an appropriate genetic test for the discrimination between true and false linkage. The source of the genetic variation to be used is discussed and, as an illustration, three types of resource populations are presented. The informativeness of different matings using various genotypes of the parents are considered and it appears that selection of markers based on the heterozygosity of the sire is the most efficient marker screening approach.

Bulked segregant analysis using microsatellites: mapping of the dominant white locus in the chicken

In order to perform a linkage study, the genotypes of a large number of individuals from a segregating population need to be determined. In case the phenotype to be mapped is influenced by a single locus or a major gene, sampling of the DNA from individual animals with the same phenotype into a single pool (bulked segregant) can reduce the number of typings. In this study we used bulked segregant analysis in order to map the Dominant White locus in the chicken. In a pilot experiment, we showed that allele frequencies can be accurately estimated from pooled samples using fluorescently labeled microsatellite markers. A segregating population for the Dominant White locus was obtained by performing a cross between a white male chicken (Genotype li for Dominant White) and a black female chicken (ii). The resulting progeny of 21 white and 18 black chickens were divided in two pools. Genotypes for both the parents and the pools were determined using 168 fluorescently labeled microsatellite markers, of which 68 were informative. The relative allele frequencies between the pools were estimated for these 68 informative markers. One marker (MCW188) was found to segregate with the Dominant White locus. Subsequent typing of all individuals from this cross and an additional 148 animals from five different families showed only two recombinants between the marker and the Dominant White locus, resulting in a LODlinkage score (log10 of odds) of 36. Using the pooled DNA approach, the Dominant White locus was successfully mapped on linkage group 22 of the East Lansing reference family at a distance of 2 cM from MCW188.

Microsatellite polymorphism in commercial broiler and layer lines estimated using pooled blood samples

For 17 microsatellite markers, allele frequencies were determined in nine highly selected commercial broiler and six highly selected commercial layer lines using pooled blood samples from 60 animals. The average number of marker alleles was 5.8 over all lines, 5.2 over broiler lines, and 3.0 over layer lines. The average number of marker alleles within a line was 2.9, 3.6, and 2.0 for all, broiler, and layer lines, respectively. Over all 15 lines, the average percentage of heterozygosity was 42, whereas the heterozygosity in the broiler lines was 53% and in the layer lines only 27%. In broiler lines, 50% of the marker-line combinations showed a heterozygosity above 60%, whereas this was only 5% in layer lines. Estimation of allele frequencies with microsatellite markers was first assessed in pooled and individual samples before usage in the commercial lines. Allele frequencies for 19 microsatellite markers were estimated in chicken pooled blood samples and compared with allele frequencies from individual typed animals. Similar results were obtained when pooled blood samples (heterozygosity of 35.3%) or individual typed animals (heterozygosity of 34.2%) were used. The method to determine allele frequencies using pooled blood samples is faster, cheaper, and as reliable and repeatable as determining allele frequencies using individual typings.

Preliminary linkage map of the chicken (Gallus domesticus) genome based on microsatellite markers: 77 new markers mapped

Microsatellite polymorphisms are finding increasing use in genetics. The objectives of this study were 1) to enlarge the number of markers to contribute to a well-defined linkage map of the chicken genome; and 2) to create a preliminary linkage map only based on microsatellite markers. The need for microsatellite markers is high for performing a whole genome scan for the identification of quantitative trait loci. Seventy-seven newly developed microsatellite markers that were polymorphic on either one or both of the reference populations were mapped and in combination with all previously described markers, used to construct a preliminary linkage map of the chicken genome. The 128 microsatellite markers mapped thus far cover 23 of the 38 linkage groups of the East Lansing reference population. In the case of the Compton reference population, 20 linkage groups out of 40 are covered with microsatellite markers. No linkage was found in the East Lansing population with five markers, and in the case of the Compton population four markers were unlinked. About 42 and 32% of the East Lansing and Compton maps, respectively, were covered by the 128 microsatellite markers. The microsatellite markers are well dispersed among the various linkage groups and there was no evidence for clustering of the markers within the map. With the 38 markers that were mapped on both reference populations, 10 of the East Lansing linkage groups could be associated with 13 of the Compton linkage groups.

Mapping functional chicken genes: an alternative approach

Functional genes were selected for linkage analysis mapping using the East Lansing (EL) reference population ¿[Jungle Fowl (JF) x White Leghorn (WL)] x WL¿. The approach used was based on the identification of DNA sequence polymorphisms in the introns of those genes found in JF and WL. Deoxyribonucleic acid sequence analysis revealed single base substitutions in introns of six Type I marker genes: adenylate kinase 1 (AK1), aldolase B (ALDOB), a lysosomal membrane protein gene (LAMP1), vitellogenin 2 (VTG2), apolipoprotein A1 (APOA1), and creatine kinase B (CKB). Transitions or transversions were found in introns of AK1, ALDOB, LAMP1, VTG2, APOA1, and CKB. A transversion in the intron of the JF allele of AK1 generated a unique BspHI cleavage site. The design of polymerase chain reaction (PCR) primers based on the site of base substitution led to the specific amplification of the JF allele in the remaining five genes. A size polymorphism in the PCR production derived from iron response element binding protein (IREBP) distinguished the JF from the WL allele. Linkage analysis of the EL reference population revealed that these candidate genes were located in the following EL linkage groups (E) or chromosomes (Chrom) of the chicken genome: AK1 (E41), VTG2 (E43), APOA1 (E49), CKB (E07), LAMP1 (E01), ALDOB (Chrom Z), and IREBP (Chrom Z). Provided that a base substitution can be found in the parents of the reference population, this PCR-based approach can be used to map any cloned candidate gene. This approach will lead to further information on synteny of the chicken genome with cognate genes of mammalian species.