COMPUTERIZED PANEL TRAINING: EFFECTS OF USING GRAPHIC FEEDBACK ON SCALE USAGE

A well-trained panel is a valuable tool for describing and quantifying characteristics of a food product. This research was undertaken to study the effects of feedback during panel training. A computerized system was designed using the Macintosh computer to gather data and provide panelists with individualized instruction and immediate graphic feedback. Two levels of feedback (with or without) were delivered to the panelists over a 2-week training period. Feedback consisted of correct response for discrimination testing and a graph displaying means and deviations for scaled data.
Results showed an expansion in the use of the line scale and an increase in precision across trials. No notable change in magnitude estimation sample scores was observed across feedback conditions; however, deviations were lower following feedback. Although exposure/practice alone provided similar changes, further differences were affected with graphic feedback. Results suggested individualized computer assisted instruction with graphic feedback may provide an efficient and effective tool to complement existing panel training techniques.     

COMPARISON OF DISCRIMINATION ABILITY BETWEEN A PANEL OF BLIND ASSESSORS AND A PANEL OF SIGHTED ASSESSORS

The objective of this work was to compare a panel of blind assessors with one of sighted assessors in the discrimination of food products. Each panel had 20 screened and trained assessors. Five commercial food products were used: crackers, liver paste, powdered orange juice mix, Reggiano cheese and yogurt. Slight flavor and/or texture modifications were introduced for adequate discrimination difficulty. Each pair of products was tested by both panels using the triangle test and a scaled difference from control test. Numbers of correct answers for the triangle test were similar for both panels. There were minor differences between the panels in the difference from control test, due to the sighted panel having more training in the use of the scale. Overall the panels of trained blind and sighted assessors were equivalent in their performance.     

A COMPARISON OF METHODOLOGY APPLIED TO THE SELECTION OF A PANEL FOR SENSORY EVALUATION OF INSTANT COFFEE

Twenty judges performed a variety of chemosensory tasks in order to select the best scores to form a panel for coffee evaluation. An average of correct responses (P%), one-way analysis of variance (ANOVA) and principal components analysis (PCA) were compared. The tests involved: ability to recognize the four basic tastes, identification and matching of odors, taste intensity evaluation and perception of small differences in taste. P% accounted for 71.17 ± 4.34% and 10 of the judges had scores greater than the final average. ANOVA and PCA resulted in 2 different panels consisting of 9 and 12 judges, respectively. The panel was composed by the nine panelists selected by the three methods. The other three panelists that were doubtful could improve to the point of acceptance with additional training. These methods should be used simultaneously to have more security in the acceptance or rejection of panelists.     

Development of a panel of genome-wide ancestry informative markers to study admixture throughout the Americas

Most individuals throughout the Americas are admixed descendants of Native American, European, and African ancestors. Complex historical factors have resulted in varying proportions of ancestral contributions between individuals within and among ethnic groups. We developed a panel of 446 ancestry informative markers (AIMs) optimized to estimate ancestral proportions in individuals and populations throughout Latin America. We used genome-wide data from 953 individuals from diverse African, European, and Native American populations to select AIMs optimized for each of the three main continental populations that form the basis of modern Latin American populations. We selected markers on the basis of locus-specific branch length to be informative, well distributed throughout the genome, capable of being genotyped on widely available commercial platforms, and applicable throughout the Americas by minimizing within-continent heterogeneity. We then validated the panel in samples from four admixed populations by comparing ancestry estimates based on the AIMs panel to estimates based on genome-wide association study (GWAS) data. The panel provided balanced discriminatory power among the three ancestral populations and accurate estimates of individual ancestry proportions (R2 > 0.9 for ancestral components with significant between-subject variance). Finally, we genotyped samples from 18 populations from Latin America using the AIMs panel and estimated variability in ancestry within and between these populations. This panel and its reference genotype information will be useful resources to explore population history of admixture in Latin America and to correct for the potential effects of population stratification in admixed samples in the region.     

Molecular Characterization of Mutant Mouse Strains Generated from the EUCOMM/KOMP-CSD ES Cell Resource

The Sanger Mouse Genetics Project generates knockout mice strains using the EUCOMM/KOMP-CSD embryonic stem (ES) cell collection and characterizes the consequences of the mutations using a high-throughput primary phenotyping screen. Upon achieving germline transmission, new strains are subject to a panel of quality control (QC) PCR- and qPCR-based assays to confirm the correct targeting, cassette structure, and the presence of the 3′ LoxP site (required for the potential conditionality of the allele). We report that over 86 % of the 731 strains studied showed the correct targeting and cassette structure, of which 97 % retained the 3′ LoxP site. We discuss the characteristics of the lines that failed QC and postulate that the majority of these may be due to mixed ES cell populations which were not detectable with the original screening techniques employed when creating the ES cell resource.     

Visual discrimination at varying distances in spanish goats

Four Spanish goats were trained to visually discriminate between two 3.4 × 3.4-cm white letters, X and O, on a black background, projected one at a time on a Caramate projector. The goats were placed in a test box containing two response panels and a bowl to receive a reward (oats). The goats were trained to press one panel when an “X” was projected and the other panel when an “O” was projected. Symbols were presented in random order with 1–3 blanks randomly inserted between each symbol. The goats were rewarded with 1 g of whole oats when a correct choice was made. Incorrect choices were punished by a time-out of 20 s. Behavior was shaped over 54–118 twenty-minute training trials (20 discriminations per trial) before the goats reached criterion of 75% correct responses in the last 6 trials. Each time criterion was reached, the distance away from the stimulus was sequentially increased to 0.10, 0.25, 0.50, 0.75, 1.00, 1.25, 1.50, 1.75, 2.00 and then 2.50 m. Speed of learning and response to increasing distance varied among individuals. Two goats failed to discriminate effectively at distances greater than 1.50 m, while the other two failed at distances greater than 2.00 m.     

Algorithms for selecting informative marker panels for population assignment.

Given a set of potential source populations, genotypes of an individual of unknown origin at a collection of markers can be used to predict the correct source population of the individual. For improved efficiency, informative markers can be chosen from a larger set of markers to maximize the accuracy of this prediction. However, selecting the loci that are individually most informative does not necessarily produce the optimal panel. Here, using genotypes from eight species--carp, cat, chicken, dog, fly, grayling, human, and maize--this univariate accumulation procedure is compared to new multivariate "greedy" and "maximin" algorithms for choosing marker panels. The procedures generally suggest similar panels, although the greedy method often recommends inclusion of loci that are not chosen by the other algorithms. In seven of the eight species, when applied to five or more markers, all methods achieve at least 94% assignment accuracy on simulated individuals, with one species--dog--producing this level of accuracy with only three markers, and the eighth species--human--requiring approximately 13-16 markers. The new algorithms produce substantial improvements over use of randomly selected markers; where differences among the methods are noticeable, the greedy algorithm leads to slightly higher probabilities of correct assignment. Although none of the approaches necessarily chooses the panel with optimal performance, the algorithms all likely select panels with performance near enough to the maximum that they all are suitable for practical use.     

Imputation of genotypes from low- to high-density genotyping platforms and implications for genomic selection

The objective of this study was to quantify the accuracy achievable from imputing genotypes from a commercially available low-density marker panel (2730 single nucleotide polymorphisms (SNPs) following edits) to a commercially available higher density marker panel (51 602 SNPs following edits) in Holstein-Friesian cattle using Beagle, a freely available software package. A population of 764 Holstein-Friesian animals born since 2006 were used as the test group to quantify the accuracy of imputation, all of which had genotypes for the high-density panel; only SNPs on the low-density panel were retained with the remaining SNPs to be imputed. The reference population for imputation consisted of 4732 animals born before 2006 also with genotypes on the higher density marker panel. The concordance between the actual and imputed genotypes in the test group of animals did not vary across chromosomes and was on average 95%; the concordance between actual and imputed alleles was, on average, 97% across all SNPs. Genomic predictions were undertaken across a range of production and functional traits for the 764 test group animals using either their real or imputed genotypes. Little or no mean difference in the genomic predictions was evident when comparing direct genomic values (DGVs) using real or imputed genotypes. The average correlation between the DGVs estimated using the real or imputed genotypes for the 15 traits included in the Irish total merit index was 0.97 (range of 0.92 to 0.99), indicating good concordance between proofs from real or imputed genotypes. Results show that a commercially available high-density marker panel can be imputed from a commercially available lower density marker panel, which will also have a lower cost, thereby facilitating a reduction in the cost of genomic selection. Increased available numbers of genotyped and phenotyped animals also has implications for increasing the accuracy of genomic prediction in the entire population and thus genetic gain using genomic selection.     

Rank and Order: Evaluating the Performance of SNPs for Individual Assignment in a Non-Model Organism

Single nucleotide polymorphisms (SNPs) are valuable tools for ecological and evolutionary studies. In non-model species, the use of SNPs has been limited by the number of markers available. However, new technologies and decreasing technology costs have facilitated the discovery of a constantly increasing number of SNPs. With hundreds or thousands of SNPs potentially available, there is interest in comparing and developing methods for evaluating SNPs to create panels of high-throughput assays that are customized for performance, research questions, and resources. Here we use five different methods to rank 43 new SNPs and 71 previously published SNPs for sockeye salmon: F_ST, informativeness (I_n), average contribution to principal components (LC), and the locus-ranking programs BELS and WHICHLOCI. We then tested the performance of these different ranking methods by creating 48- and 96-SNP panels of the top-ranked loci for each method and used empirical and simulated data to obtain the probability of assigning individuals to the correct population using each panel. All 96-SNP panels performed similarly and better than the 48-SNP panels except for the 96-SNP BELS panel. Among the 48-SNP panels, panels created from F_ST, I_n, and LC ranks performed better than panels formed using the top-ranked loci from the programs BELS and WHICHLOCI. The application of ranking methods to optimize panel performance will become more important as more high-throughput assays become available.     

Development of an HIV-1 Subtype Panel in China: Isolation and Characterization of 30 HIV-1 Primary Strains Circulating in China

BackgroundThe complex epidemic and significant diversity of HIV-1 strains in China pose serious challenges for surveillance and diagnostic assays, vaccine development and clinical management. There is a lack of HIV-1 isolates in current canonical HIV-1 subtype panels that can represent HIV-1 diversity in China; an HIV-1 subtype panel for China is urgently needed.MethodsBlood samples were collected from HIV-1 infected patients participating in the drug-resistance surveillance program in China. The samples were isolated, cultured and stored as neat culture supernatant. The HIV-1 isolates were fully characterized. The panel was used to compare 2 viral load assays and 2 p24 assays as the examples of how this panel could be used.ResultsAn HIV-1 subtype panel for China composed of 30 HIV-1 primary strains of four subtypes (B [including Thai-B], CRF01_AE, CRF07_BC and G) was established. The samples were isolated and cultured to a high-titer (10⁶-10⁹ copies/ml)/high-volume (40ml). The HIV-1 isolates were fully characterized by the final viral load, p24 concentration, gag-pol and envC2V3 sequencing, co-receptor prediction, determination of the four amino acids at the tip of the env V3-loop, glycosylation sites in the V3 loop and the drug-resistance mutations. The comparison of two p24 assays and two viral load assays on the isolates illustrated how this panel may be used for the evaluation of diagnostic assay performance. The Pearson value between p24 assays were 0.938. The viral load results showed excellent concordance and agreement for samples of Thai-B, but lower correlations for samples of CRF01_AE.ConclusionThe current panel of 30 HIV-1 isolates served as a basis for the development of a comprehensive panel of fully characterized viral isolates, which could reflect the current dynamic and complex HIV-1 epidemic in China. This panel will be available to support HIV-1 research, assay evaluation, vaccine and drug development.     

A COMPARISON OF METHODS FOR MONITORING INDIVIDUAL PERFORMANCES IN TASTE SELECTION TESTS

The evaluation of panel performance was made by three methods: average of correct responses (A), comparison of distances of individual standardized judgments to the average standardized responses (D) and a principal components analysis (PCA). Thirty assessors identified water and basic tastes and discriminated different sweet stimuli in neutral or acidified vehicles using R‐index rating and ranking tests. By A and D methods 22 assessors were qualified as proficient. Composition of both panels was identical except for one judge. The output from PCA provided a graphical representation of the performance of the assessors and retained different subsets of 24–26 panelists for different proposals as discrimination of sweetness in acidified beverages, recognition of bitterness, sourness and discrimination of slight sweetness or evaluation of saltiness.     

Wide-cross whole-genome radiation hybrid mapping of the cotton (Gossypium barbadense L.) genome

Whole-genome radiation hybrid mapping has been applied extensively to human and certain animal species, but little to plants. We recently demonstrated an alternative mapping approach in cotton (Gossypium hirsutum L.), based on segmentation by 5-krad γ-irradiation and derivation of wide-cross whole-genome radiation hybrids (WWRHs). However, limitations observed at the 5-krad level suggested that higher doses might be advantageous. Here, we describe the development of an improved second-generation WWRH panel after higher dose irradiation and compare the resulting map to the 5-krad map. The genome of G. hirsutum (n=26) was used to rescue the radiation-segmented genome of G. barbadense (n=26) introduced via 8- and 12-krad γ-irradiated pollen. Viable seedlings were not recovered after 12-krad irradiation, but 8-krad irradiation permitted plant recovery and construction of a 92-member WWRH mapping panel. Assessment of 31 SSR marker loci from four chromosomes revealed that the 8-krad panel has a marker retention frequency of ca. 76%, which is approximately equivalent to the rate of loss in a low-dose animal radiation hybrid panel. Retention frequencies of loci did not depart significantly from independence when compared between the A and D subgenomes, or according to positions along individual chromosomes. WWRH maps of chromosomes 10 and 17 were generated by the maximum likelihood RHMAP program and the general retention model. The resulting maps bolster evidence that WWRH mapping complements traditional linkage mapping and works in cotton, and that the 8-krad panel complements the 5-krad panel by offering higher rates of chromosome breakages, lower marker retention frequency, and more retention patterns. Electronic Supplementary Material Supplementary material is available for this article at     

Sigmoidoscopy

Sigmoidoscopy is the most important gastrointestinal procedure and is essential for the correct interpretation of lower bowel symptoms. The indications are many and there are no contraindications. If done with care it is safe and inexpensive and within the capability of all practising physicians.Consideration for the patient''s comfort and dignity, correct positioning, and advancement of the instrument only under direct vision should ensure a satisfactory examination.     

Evaluation of antibiotic resistance analysis and ribotyping for identification of faecal pollution sources in an urban watershed

AIMS: The accuracy of ribotyping and antibiotic resistance analysis (ARA) for prediction of sources of faecal bacterial pollution in an urban southern California watershed was determined using blinded proficiency samples. METHODS AND RESULTS: Antibiotic resistance patterns and HindIII ribotypes of Escherichia coli (n = 997), and antibiotic resistance patterns of Enterococcus spp. (n = 3657) were used to construct libraries from sewage samples and from faeces of seagulls, dogs, cats, horses and humans within the watershed. The three libraries were analysed to determine the accuracy of host source prediction. The internal accuracy of the libraries (average rate of correct classification, ARCC) with six source categories was 44% for E. coli ARA, 69% for E. coli ribotyping and 48% for Enterococcus ARA. Each library's predictive ability towards isolates that were not part of the library was determined using a blinded proficiency panel of 97 E. coli and 99 Enterococcus isolates. Twenty-eight per cent (by ARA) and 27% (by ribotyping) of the E. coli proficiency isolates were assigned to the correct source category. Sixteen per cent were assigned to the same source category by both methods, and 6% were assigned to the correct category. Addition of 2480 E. coli isolates to the ARA library did not improve the ARCC or proficiency accuracy. In contrast, 45% of Enterococcus proficiency isolates were correctly identified by ARA. CONCLUSIONS: None of the methods performed well enough on the proficiency panel to be judged ready for application to environmental samples. SIGNIFICANCE AND IMPACT OF THE STUDY: Most microbial source tracking (MST) studies published have demonstrated library accuracy solely by the internal ARCC measurement. Low rates of correct classification for E. coli proficiency isolates compared with the ARCCs of the libraries indicate that testing of bacteria from samples that are not represented in the library, such as blinded proficiency samples, is necessary to accurately measure predictive ability. The library-based MST methods used in this study may not be suited for determination of the source(s) of faecal pollution in large, urban watersheds.     

Shape discrimination in sheep and calves

Sheep and calves have been trained, using an operant conditioning method in which they pressed panels with their muzzles in order to obtain food, to discriminate between simultaneously presented shapes. In the discrimination task the animals faced two response panels upon which were projected the shapes to be discriminated. Only presses on the panel associated with the correct shape were reinforced, and after each reinforcement the position of the positive stimulus was randomly varied. The results obtained demonstrated that sheep and calves can discriminate between a variety of similar shapes.     

Discerning the ancestry of European Americans in genetic association studies

European Americans are often treated as a homogeneous group, but in fact form a structured population due to historical immigration of diverse source populations. Discerning the ancestry of European Americans genotyped in association studies is important in order to prevent false-positive or false-negative associations due to population stratification and to identify genetic variants whose contribution to disease risk differs across European ancestries. Here, we investigate empirical patterns of population structure in European Americans, analyzing 4,198 samples from four genome-wide association studies to show that components roughly corresponding to northwest European, southeast European, and Ashkenazi Jewish ancestry are the main sources of European American population structure. Building on this insight, we constructed a panel of 300 validated markers that are highly informative for distinguishing these ancestries. We demonstrate that this panel of markers can be used to correct for stratification in association studies that do not generate dense genotype data.     

Genomic selection using low density marker panels with application to a sire line in pigs

Background

Genomic selection has become a standard tool in dairy cattle breeding. However, for other animal species, implementation of this technology is hindered by the high cost of genotyping. One way to reduce the routine costs is to genotype selection candidates with an SNP (single nucleotide polymorphism) panel of reduced density. This strategy is investigated in the present paper. Methods are proposed for the approximation of SNP positions, for selection of SNPs to be included in the low-density panel, for genotype imputation, and for the estimation of the accuracy of genomic breeding values. The imputation method was developed for a situation in which selection candidates are genotyped with an SNP panel of reduced density but have high-density genotyped sires. The dams of selection candidates are not genotyped. The methods were applied to a sire line pig population with 895 German Piétrain boars genotyped with the PorcineSNP60 BeadChip.

Results

Genotype imputation error rates were 0.133 for a 384 marker panel, 0.079 for a 768 marker panel, and 0.022 for a 3000 marker panel. Error rates for markers with approximated positions were slightly larger. Availability of high-density genotypes for close relatives of the selection candidates reduced the imputation error rate. The estimated decrease in the accuracy of genomic breeding values due to imputation errors was 3% for the 384 marker panel and negligible for larger panels, provided that at least one parent of the selection candidates was genotyped at high-density.Genomic breeding values predicted from deregressed breeding values with low reliabilities were more strongly correlated with the estimated BLUP breeding values than with the true breeding values. This was not the case when a shortened pedigree was used to predict BLUP breeding values, in which the parents of the individuals genotyped at high-density were considered unknown.

Conclusions

Genomic selection with imputation from very low- to high-density marker panels is a promising strategy for the implementation of genomic selection at acceptable costs. A panel size of 384 markers can be recommended for selection candidates of a pig breeding program if at least one parent is genotyped at high-density, but this appears to be the lower bound.     

Evaluating SNP ascertainment bias and its impact on population assignment in Atlantic cod, Gadus morhua

The increasing use of single nucleotide polymorphisms (SNPs) in studies of nonmodel organisms accentuates the need to evaluate the influence of ascertainment bias on accurate ecological or evolutionary inference. Using a panel of 1641 expressed sequence tag-derived SNPs developed for northwest Atlantic cod (Gadus morhua), we examined the influence of ascertainment bias and its potential impact on assignment of individuals to populations ranging widely in origin. We hypothesized that reductions in assignment success would be associated with lower diversity in geographical regions outside the location of ascertainment. Individuals were genotyped from 13 locations spanning much of the contemporary range of Atlantic cod. Diversity, measured as average sample heterozygosity and number of polymorphic loci, declined (c. 30%) from the western (H(e) = 0.36) to eastern (H(e) = 0.25) Atlantic, consistent with a signal of ascertainment bias. Assignment success was examined separately for pools of loci representing differing degrees of reductions in diversity. SNPs displaying the largest declines in diversity produced the most accurate assignment in the ascertainment region (c. 83%) and the lowest levels of correct assignment outside the ascertainment region (c. 31%). Interestingly, several isolated locations showed no effect of assignment bias and consistently displayed 100% correct assignment. Contrary to expectations, estimates of accurate assignment range-wide using all loci displayed remarkable similarity despite reductions in diversity. Our results support the use of large SNP panels in assignment studies of high geneflow marine species. However, our evidence of significant reductions in assignment success using some pools of loci suggests that ascertainment bias may influence assignment results and should be evaluated in large-scale assignment studies.     

European Multi-Centre Validation Study of NucliSens Extractor in Combination with HCV Amplicor 2·0 Assay for HCV-NAT Screening of Plasma Pools

The NucliSens Extractor in combination with the 2.0 version of the Roche Cobas HCV Amplicor test has been validated by five European blood screening laboratories in a multi-centre study. For testing the performance characteristics of this HCV-NAT method, the European Pharmacopoeia validation guidelines were followed. The CLB VQC reference reagents were used for testing robustness and sensitivity. After a technical improvement in the extraction stations, the NucliSens Extractor appeared to be contamination-free as was proved by testing negative controls alternating with samples containing a high HCV-RNA concentration. The Pelicheck HCV-RNA genotype 1 dilution panel was tested 74 times in the five laboratories and an overall 95% detection limit of 80 genome equivalents (geq)/ml was found. In one laboratory the Pelicheck panel was tested in 25 runs and here a 95% detection limit of 32 geq/ml was achieved. In this laboratory the Pelispy HCV-RNA run control samples of 140 geq/ml were consistently picked up in all extractor stations. In addition the laboratories have tested a WHO HCV-RNA genotype 1 standard dilution series 39 times and a Pelicheck HCV-RNA genotype 3 reference panel in 32 test runs. The limiting dilution analysis enabled us to compare the detection efficiency of the NucliSens-Amplicor method for the genoype 1 and genotype 3 isolates and to calibrate the reference reagents against each other. The combined Nuclisens-Amplicor method was found to detect the genotype 3 isolate in the Pelicheck HCV-RNA panels with 2-3 fold lower efficiency than the genotype 1 standard (assuming that the historical calibration of the genotype 3 against the genotype 1 standard is correct). In this study of a single method 1 IU of the WHO HCV-RNA standard was found to be equivalent to 5.1 geq of the VQC HCV-RNA standard (95% confidence intervals 3.1-9.1 geq). To avoid confusion with the use of the CLB VQC reagents we accept the NIBSC collaborative study in which calibration by a variety of methods showed that the Pelispy 380 geq/ml run control is equivalent to 100 IU/ml of the WHO standard. This multi-centre validation study demonstrates that the 95% detection limit of the NucliSens HCV Amplicor method lies far below the detection limits required by the international regulatory bodies.