Comparative genome analysis with the human genome reveals chicken genes associated with fatness and body weight.

The selection of meat-type chickens (broilers) for rapid growth has been accompanied by excessive fat deposition. In this study, we analysed 53 candidate genes that are associated with obesity and obesity-related traits in humans, for which we found chicken orthologues by BLAST searches. We have identified single nucleotide polymorphisms (SNPs) with significant differences in allele frequencies between broilers and layers in each of the following six candidate genes: adrenergic, beta-2-, receptor, surface (ADRB2); melanocortin 5 receptor (MC5R); leptin receptor (LEPR), McKusick-Kaufman syndrome (MKKS), milk fat globule-EGF factor 8 protein (MFGE8) and adenylate kinase 1 (AK1). To examine associations with fatness and/or body weight, we used birds of extreme phenotypes in F(2) and backcross populations with varying levels of abdominal fat weight per cent (%AFW) and body weight. We then assessed the level of gene expression by real-time PCR. In two genes, ADRB2 and MFGE8, we found significant association with %AFW. The ADRB2 gene was found to have a significantly higher expression in the liver of lean chickens compared with those of the fat individuals. We believe that this approach can be applied for the identification of other quantitative genes.

Biodiversity of 20 chicken breeds assessed by SNPs located in gene regions.

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.

Detection of agriculturally important QTLs in chickens and analysis of the factors affecting genotyping strategy.

Three single cross populations were generated in order to analyze factors affecting the ability to detect true linkage with minimum false positive or false negative associations, and to detect associations between markers and quantitative traits. The three populations are: (1) a broiler x broiler cross of a single sire and 34 dams, resulting in 266 progeny; (2) a broiler x broiler cross of a single sire and 41 dams resulting in 360 progeny; and (3) a broiler x layer cross of a single sire with 56 dams resulting in 1180 progeny. Based on these three resource populations we show that: a) gradient selective genotyping was more effective than the random selective genotyping; b) selective genotyping was significant at a selected proportion less than 62% of the cumulative truncation point; c) as few as 10% of selected individuals (5% of each of the two tails) were sufficient to show significant association between markers and phenotypes; d) a gradient slices approach was more powerful than using replicates of the extreme groups; and e) in resource populations resulting from crosses between lines of different backgrounds, most of the microsatellite markers used are polymorphic. We also used simulation to test factors affecting power to detect true associations between markers and traits that are hard to detect in experimental resource populations. Using defined populations in the simulation, we concluded that the following guidelines provide reliable detection of linked QTLs: 1) the resource population size should be larger than 100; 2) a QTL effect larger than 0.4 SD is detectable with a reasonable number of markers (>100) and resource population size (>200 subjects); 3) the DNA pool from each tail of the trait distribution should contain at least 10% of the resource family; 4) each of the two DNA pools should include more than 35 individuals. Some of these guidelines that were deduced from the simulation analysis have been confirmed in the experimental part of this study.

Marker-assisted selection based on a multi-trait economic index in chicken: Experimental results and simulation.

A method proposed herein allows simultaneous selection for several production traits, taking into consideration their marginal economic values (i.e. the economic value of a trait's additional unit). This economic index-marker assisted selection (EI-MAS) method is based on the calculation of the predicted economic breeding value (BV), using information on DNA markers that have previously been found to be associated with relevant quantitative trait loci. Based on the proposed method, results with real birds showed that sire progeny performance was significantly correlated with expected performance (r = 0.61-0.76; P = 0.03-0.01). Simulation analysis using a computer program written specifically for this purpose suggested that the relative advantage of EI-MAS would be large for traits with low heritability values. As expected, the response to EI-MAS was higher when the map distance between the marker and the quantitative trait gene was small, and vice versa. A large number of distantly located markers, spread 10 cM apart, yielded higher response to selection than a small number of closely located markers spread 3 cM apart. Additionally, the response to EI-MAS was higher when a large number (ca.150) of progeny was used for the prediction equation.

Application of SNPs for assessing biodiversity and phylogeny among yeast strains.

We examined the efficacy of single-nucleotide polymorphism (SNP) markers for the assessment of the phylogeny and biodiversity of Saccharomyces strains. Each of 32 Saccharomyces cerevisiae strains was genotyped at 30 SNP loci discovered by sequence alignment of the S. cerevisiae laboratory strain SK1 to the database sequence of strain S288c. In total, 10 SNPs were selected from each of the following three categories: promoter regions, nonsynonymous and synonymous sites (in open reading frames). The strains in this study included 11 haploid laboratory strains used for genetic studies and 21 diploids. Three non-cerevisiae species of Saccharomyces (sensu stricto) were used as an out-group. A Bayesian clustering-algorithm, Structure, effectively identified four different strain groups: laboratory, wine, other diploids and the non-cerevisiae species. Analysing haploid and diploid strains together caused problems for phylogeny reconstruction, but not for the clustering produced by Structure. The ascertainment bias introduced by the SNP discovery method caused difficulty in the phylogenetic analysis; alternative options are proposed. A smaller data set, comprising only the nine most polymorphic loci, was sufficient to obtain most features of the results.

Evidence for a major gene affecting the transition from normoglycaemia to hyperglycaemia in Psammomys obesus.

We investigated the mode of inheritance of nutritionally induced diabetes in the desert gerbil Psammomys obesus (sand rat), following transfer from low-energy (LE) to high-energy (HE) diet which induces hyperglycaemia. Psammomys selected for high or low blood glucose level were used as two parental lines. A first backcross generation (BC(1)) was formed by crossing F(1) males with females of the diabetes-prone line. The resulting 232 BC(1) progeny were assessed for blood glucose. All progeny were weaned at 3 weeks of age (week 0), and their weekly assessment of blood glucose levels proceeded until week 9 after weaning, with all progeny maintained on HE diet. At weeks 1 to 9 post weaning, a clear bimodal distribution statistically different from unimodal distribution of blood glucose was observed, normoglycaemic and hyperglycaemic at a 1:1 ratio. This ratio is expected at the first backcross generation for traits controlled by a single dominant gene. From week 0 (prior to the transfer to HE diet) till week 8, the hyperglycaemic individuals were significantly heavier (4--17%) than the normoglycaemic ones. The bimodal blood glucose distribution in BC(1) generation, with about equal frequencies in each mode, strongly suggests that a single major gene affects the transition from normo- to hyperglycaemia. The wide range of blood glucose values among the hyperglycaemic individuals (180 to 500 mg/dl) indicates that several genes and environmental factors influence the extent of hyperglycaemia. The diabetes-resistant allele appears to be dominant; the estimate for dominance ratio is 0.97.

DNA markers and crossbreeding scheme as means to select sires for heterosis in egg production of chickens.

Genotypes for 24 microsatellite markers, dispersed across the chicken genome, were used to predict progeny performance and heterosis for egg production (number and mass) in 'layers' (egg-type chickens). These markers were used to evaluate genetic distance between each of 39 sires sampled from two-layer male-lines; Rhode Island Red (RIR) and White egg Leghorn (Leghorn), and a DNA pool of 30 randomly sampled females from a Brown-egg female line (Silver). Each sire was analysed for egg production across months in the laying period and cumulatively in each of three subperiods; onset (2 month), mid (9 month) and late (1 month). The average Reynolds' genetic distance between Leghorn sires and the Silver female line (theta;=0.6) was significantly higher than that between RIR sires and the Silver female line (theta;=0.5). Neither performance nor heterosis values in the RIR sire's daughters were associated with genetic distance values between sires and the Silver female line. On the other hand, performance as well as heterosis values of Leghorn's daughters were positively associated with genetic distance. This association was particularly evident in the mid-subperiod. If 25% of the most genetically distant Leghorn sires from the Silver female line had been selected in a single generation on the basis of DNA markers information only, average egg production of the crossbred daughters would have been improved by about nine eggs (3%). In principle, further improvement is possible if selection to increase genetic distance between the parental lines is carried on.

Polymorphism in ornamental and common carp strains (Cyprinus carpio L.) as revealed by AFLP analysis and a new set of microsatellite markers.

Forty-seven new microsatellite markers were generated and applied, together with the AFLP (Amplified Fragment Length Polymorphism) technique using two different enzyme combinations, to the genetic analysis of two carp species, Cyprinus carpio L. and Ctenopharyngodon idella. The extent of polymorphism and the genetic relationships between nine carp populations were studied. The incidence of microsatellites containing CA and CT motifs was estimated to be one every 17.4 and one every 126.3 kb, respectively, and their average allele numbers were four and five, respectively. Across populations, the average proportion of individuals that were heterozygous for microsatellite markers was 44.2% and the average allele number was 4.02. The EcoRI/TaqI combination generated more analyzable AFLP bands than the EcoRI/MseI pair, making the former preferable for the analysis of carp populations. The proportion of polymorphic AFLP bands within populations ranged from 6.7% in grass carp to 59.9% in Kohaku strain (Koi) of the ornamental carp. The fixation index (FST) for microsatellites in these populations was estimated to be 0.37, and for AFLP markers the value was 0.39. Genetic distance matrices derived from microsatellites and from two AFLP analyses were positively correlated. Grass carp showed fewer AFLP bands than other populations and was genotyped by only half of the microsatellite markers. These findings agree with genetic distance estimates in suggesting that the grass carp is phylogenetically quite remote from all the other populations examined.

Development of microsatellite markers in potato and their use in phylogenetic and fingerprinting analyses.

Three genomic libraries were constructed using a mixture of DNA from Solanum phureja Juz. & Buk., and S. chacoense Bitt. Two of the libraries were enriched for ATT and GT repeats (a 27-fold enrichment was achieved). In total, 3500 clones of the conventional library, 1,000 of the library enriched for ATT, and 12,000 of the one enriched for GT were screened with five different repeat motifs, and a total of 18 primer pairs was obtained. Another group of 12 primer pairs was obtained from the SSR-containing sequences in the public databases (18 SSR-containing sequences were utilized). From among 30 newly developed primer pairs, 12 previously published ones, and 12 pairs developed for tomato, 7 were used to identify 12 different potato cultivars and introductions, and 12 were used to study phylogenetic distance among seven wild and cultivated potato species. Two SSR markers were sufficient to discriminate the 12 cultivars. The mean number of alleles per polymorphic locus was 5 for the 12 cultivars and 4.5 for the seven species. The results obtained in this study confirm those achieved in similar studies in other plant species regarding the abundance and use of SSR markers in identifying species and cultivars.

Distinctive genetic signatures in the Libyan Jews.

Unlinked autosomal microsatellites in six Jewish and two non-Jewish populations were genotyped, and the relationships among these populations were explored. Based on considerations of clustering, pairwise population differentiation, and genetic distance, we found that the Libyan Jewish group retains genetic signatures distinguishable from those of the other populations, in agreement with some historical records on the relative isolation of this community. Our methods also identified evidence of some similarity between Ethiopian and Yemenite Jews, reflecting possible migration in the Red Sea region. We suggest that high-resolution statistical methods that use individual multilocus genotypes may make it practical to distinguish related populations of extremely recent common ancestry.

Length polymorphism and homologies of microsatellites in several Cucurbitaceae species.

The objectives of this research were to assess (1) the degree of Simple Sequence Repeats (SSR) DNA length polymorphism in melon (Cucumis melo L.) and other species within the Cucurbitaceae family and (2) the possibility of utilizing SSRs flanking primers from single species to other genera or species of Cucurbitaceae. Five melon (CT/GA) n SSRs were isolated from a genomic library. Two cucumber (Cucumis sativus L.) SSRs were detected through a search of DNA sequence databases, one contained a (CT)8 repeat, the other a (AT)13 repeat. The seven SSRs were used to test a diverse sample of Cucurbitaceae, including 8 melon, 11 cucumber, 5 squash, 1 pumpkin, and 3 watermelon genotypes. Five of the seven SSRs detected length polymorphism among the 8 melon genotypes. PCR amplification revealed between three and five length variants (alleles) for each SSR locus, with gene diversity values ranging from 0.53 to 0.75. Codominant segregation of the alleles among F2 progeny was demonstrated for each of the five SSR loci. Four of the seven SSRs detected polymorphism among the 11 cucumber genotypes, with gene diversity values ranging between 0.18 and 0.64. Primers specific to SSRs of C. melo and C. sativus also amplified DNA extracted from genotypes belonging to other genera of the Cucurbitaceae family.

The use of microsatellite DNA markers for soybean genotype identification.

Conventional morphological and pigementation traits, as well as disease resistance, have been used to distinguish the uniqueness of new soybean cultivars for purposes of plant variety protection. With increasing numbers of cultivars and a finite number of conventional characters, it has become apparent that such traits will not suffice to establish uniqueness. The objective of this work was to provide an initial evaluation of microsatellite or simple-sequence-repeat (SSR) DNA markers to develop unique DNA profiles of soybean genotypes. Microsatellites are DNA sequences such as (AT) n /(TA) n and (ATT) n /(TAA) n that are composed of tandemly repeated 2-5-basepair DNA core sequences. The DNA sequences flanking microsatellites are generally conserved allowing the selection of polymerase chain reaction (PCR) primers that will amplify the intervening SSR. Variation in the number of tandem repeats, "n", results in PCR product length differences. The SSR alleles present at three (AT) n /(TA) n and four (ATT) n /(TAA) n loci were determined in each of 96 diverse soybean genotypes. Between 11 and 26 alleles were found at each of the seven loci. Only two genotypes had identical SSR allelic profiles and these had very similar pedigrees. The gene diversity for the seven markers averaged 0.87 for all 96 genotypes and 0.74 for a subset of 26 North American cultivars. These are much higher than soybean gene diversity values obtained using RFLP markers, and are similar to the average values obtained for human microsatellite markers. SSR markers provide an excellent complement to the conventional markers that are currently used to characterize soybean genotypes.

DNA fingerprint bands applied to linkage analysis with quantitative trait loci in chickens.

An efficient approach to detect association between quantitative traits and bands of DNA fingerprint patterns uses intra-family tail analysis, which compares fingerprints of DNA mixes from individuals at the two tails of a phenotypic distribution. In analysis of 67 paternal half-sibs of a meat-type chicken family, of 57 sire bands generated by two probes, one sire-specific band (S6.6) was associated with abdominal fat deposition. The band effect was estimated by a linear model analysis to be 0.88 standard deviations, or about 30% of the family mean. The association between band S6.6 and abdominal fat was further examined by testing progeny of paternal half-sibs of the chickens which were used in the tail analysis, establishing genetic linkage between the DNA marker and a genetic locus affecting abdominal fat deposition.

Deoxyribonucleic acid fingerprint comparisons between selected populations of chickens.

A pair of lines of White Plymouth Rock chickens selected for high or low juvenile body weight, a pair of White Leghorn chickens selected for high or low antibody response to sheep erythrocytes, and an F1 cross between each pair of lines, were used to produce DNA fingerprints (DFP). These DFP were prepared by mixing equal amounts of DNA from several individuals of a particular population, resulting in a DFP characteristic of the population. The populations provided individuals of known genetic relationships and inbreeding levels to evaluate the sensitivity of the DFP technique with DNA mixing. Levels of band sharing between breeds were lowest, those between selected lines within a breed were intermediate, and those between the selected lines and their F1 crosses were highest. These results show that DFP analysis is sensitive to several levels of genetic relationship.

DNA fingerprints applied to gene introgression in breeding programs.

An application of DNA fingerprints (DFP) for gene introgression in breeding programs of both farm animals and plants is proposed. DFP loci, detectable by minisatellite probes, are extremely polymorphic. Individuals have unique patterns of DFP and thus can be selected for maximal genomic similarity to the recipient line, and minimal similarity to the donor line, using their DFP patterns as the criterion for similarity. This genomic selection (GS) can be performed at generations BC1, BC2 or both, and thus significantly reduce the required number of backcross generations in introgression breeding programs. The association between genomic and DFP similarity is demonstrated. Theoretical distributions and variances of the relative percentages of the donor and recipient genomes as the basis for the GS approach are presented.

DNA fingerprints of chickens selected for high and low body weight for 31 generations.

Two lines of White Plymouth Rock chickens that have been divergently selected for 8-week body weight for 31 generations were compared for patterns of DNA fingerprints (DFP). Digestion of DNA with HinfI and hybridization to Jeffreys' minisatellite probe 33.6 resulted in DFPs that were relatively similar within lines (bandsharing = 0.50) and less similar between lines (bandsharing = 0.22). Analyses of scorable DFP bands produced by mixing DNA from individuals within lines indicated that 48% were line-specific. Causes for the differences in DFP patterns between lines and for occurrence of line-specific bands for the two lines divergently selected for body weight are discussed.

DNA fingerprints of poultry.

Human minisatellite probes cross-hybridize to DNA of several species of poultry (chicken, duck, turkey and goose), and detect high levels of polymorphism. The resulting DNA fingerprints are individual specific, and allow the discrimination even between closely related birds. The pattern of poultry DNA fingerprints is different from that of humans and other animals, having a higher average proportion of large DNA fragments. Pedigree analysis revealed a low number of allelic pairs of variable DNA fragments, indicating that most of the alleles are unresolved in the DNA fingerprint or too small to be detected. The total number of detectable loci in broilers, using probe 33.6, was estimated as 62, of which 13 loci are on average scoreable and available for use. Poultry DNA fingerprints can be used for individual identification, linkage studies and as an aid in breeding programmes.

Physical mapping of plastid DNA variation among eleven Nicotiana species.

Plastid DNA of seven American and four Australian species of the genus Nicotiana was examined by restriction endonuclease analysis using the enzymes Sal I, Bgl I, Pst I, Kpn I, Xho I, Pvu II and Eco RI. These endonucleases collectively distinguish more than 120 sites on N. tabacum plastid DNA. The DNAs of all ten species exhibited restriction patterns distinguishable from those of N. tabacum for at least one of the enzymes used. All distinctive sites were physically mapped taking advantage of the restriction cleavage site map available for plastid DNA from Nicotiana tabacum (Seyer et al. 1981). This map was extended for the restriction endonucleases Pst I and Kpn I. In spite of variation in detail, the overall fragment order was found to be the same for plastid DNA from the eleven Nicotiana species. Most of the DNA changes resulted from small insertions/deletions and, possibly, inversions. They are located within seven regions scattered along the plastid chromosome. The divergence pattern of the Nicotiana plastid chromosomes was strikingly similar to that found in the genus Oenothera subsection Euoenothera (Gordon et al. 1982). The possible role of replication as a factor in the evolution of divergence patterns is discussed. The restriction patterns of plastid DNA from species within a continent resembled each other with one exception in each instance. The American species N. repanda showed patterns similar to those of most Australian species, and those of the Australian species N. debneyi resembled those of most American species.