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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.

We used the IMNpRH2(12,000-rad) RH and IMpRH(7,000-rad) panels to integrate 2019 transcriptome (RNA-seq)-generated contigs with markers from the porcine genetic and radiation hybrid (RH) maps and bacterial artificial chromosome finger-printed contigs, into 1) parallel framework maps (LOD ≥ 10) on both panels for swine chromosome (SSC) 4, and 2) a high-resolution comparative map of SSC4, thus and human chromosomes (HSA) 1 and 8. A total of 573 loci were anchored and ordered on SSC4 closing gaps identified in the porcine sequence assembly Sscrofa9. Alignment of the SSC4 RH with the genetic map identified five microsatellites incorrectly mapped around the centromeric region in the genetic map. Further alignment of the RH and comparative maps with the genome sequence identified four additional regions of discrepancy that are also suggestive of errors in assembly, three of which were resolved through conserved synteny with blocks on HSA1 and HSA8.

A large number of significant QTL for economically important traits including average daily gain have been located on SSC1q, which, as shown by chromosome painting, corresponds to four human chromosomes (HSA9, 14, 15 and 18). To provide a comprehensive comparative map for efficient selection of candidate genes, 81 and 34 genes localized on HSA9 and HSA14 respectively were mapped to SSC1q using a porcine 7000-rad radiation hybrid panel (IMpRH). This study, together with the cytogenetic map (http://www2.toulouse.inra.fr/lgc/pig/cyto/genmar/htm/1GM.HTM), demonstrates that SSC1q2.1-q2.13 corresponds to the region ranging from 44.6 to 63.2 Mb on HSA14q21.1-q23.1, the region from 86.5 to 86.8 Mb on HSA15q24-q25, the region from 0.9 to 27.2 Mb on HSA9p24.3-p21, the region from 35.1 to 38.0 Mb on HSA9p13, the region from 70.3 to 79.3 Mb on HSA9q13-q21 and the region from 96.4 to 140.0 Mb on HSA9q22.3-q34. The conserved synteny between HSA9 and SSC1q is interrupted by at least six sites, and the synteny between HSA14 and SSC1q is interrupted by at least one site.

Insulin-like growth factor 1 receptor (IGF1R) is essential for the signalling of growth. In this study, we performed single nucleotide polymorphism (SNP) detection in the Japanese quail IGF1R coding region and an association study between SNPs and body weight in two lines (SS and LL) selected for large and small body weight. Of 21 SNPs obtained, a SNP at position AB292766:c.2293GA led to the replacement of a valine with an isoleucine (V765I). The two lines were fixed for alternate alleles, with allele encoding valine fixed in the LL line. A significant effect of the SNP genotype was found on 10-week body weight (P0.01) and on 4- to 10-week and 6- to 10-week average daily gain (P0.05) in the F(2) family obtained from lines LL and SS. In six populations maintained in Japan or France, the frequency of allele encoding valine was higher than the allele encoding isoleucine.

A phylogenetic tree for fowl including chicken in the genus Gallus and based on mitochondrial D-loop analysis further supports the hypothesis developed from morphology and progeny production that red junglefowl (RJF) is the direct ancestor of the chicken. The phylogenetic positions of the chicken and the other fowl species in the genus Gallus are of great importance when considering maintenance and improvement of chicken breeds through introgression of genetic variation from wild-type genomes. However, because the phylogenetic analysis based on the DNA sequences is not sufficient to conclude the phylogenetic positions of the fowls in the genus, in the present study, we have determined sequences of whole mitochondrial DNA (mtDNA) and two segments of the nuclear genome (intron 9 of ornithine carbamoyltransferase, and four chicken repeat 1 elements) for the species in the genus Gallus. The phylogenetic analyses based on mtDNA sequences revealed that two grey junglefowls (GyJF) were clustered in a clade with RJFs and chicken, and that one GyJF was located in a remote position close to Ceylon junglefowl (CJF). The analyses based on the nuclear sequences revealed that alleles of GyJFs were alternatively clustered with those of CJF and with those of RJFs and chicken. Alternative clustering of RJF and chicken alleles were also observed. These findings taken together strongly indicate that inter-species hybridizations have occurred between GyJF and RJF/chicken and between GyJF and CJF.