Comparison of molecular breeding values based on within- and across-breed training in beef cattle

Background

Although the efficacy of genomic predictors based on within-breed training looks promising, it is necessary to develop and evaluate across-breed predictors for the technology to be fully applied in the beef industry. The efficacies of genomic predictors trained in one breed and utilized to predict genetic merit in differing breeds based on simulation studies have been reported, as have the efficacies of predictors trained using data from multiple breeds to predict the genetic merit of purebreds. However, comparable studies using beef cattle field data have not been reported.

Methods

Molecular breeding values for weaning and yearling weight were derived and evaluated using a database containing BovineSNP50 genotypes for 7294 animals from 13 breeds in the training set and 2277 animals from seven breeds (Angus, Red Angus, Hereford, Charolais, Gelbvieh, Limousin, and Simmental) in the evaluation set. Six single-breed and four across-breed genomic predictors were trained using pooled data from purebred animals. Molecular breeding values were evaluated using field data, including genotypes for 2227 animals and phenotypic records of animals born in 2008 or later. Accuracies of molecular breeding values were estimated based on the genetic correlation between the molecular breeding value and trait phenotype.

Results

With one exception, the estimated genetic correlations of within-breed molecular breeding values with trait phenotype were greater than 0.28 when evaluated in the breed used for training. Most estimated genetic correlations for the across-breed trained molecular breeding values were moderate (> 0.30). When molecular breeding values were evaluated in breeds that were not in the training set, estimated genetic correlations clustered around zero.

Conclusions

Even for closely related breeds, within- or across-breed trained molecular breeding values have limited prediction accuracy for breeds that were not in the training set. For breeds in the training set, across- and within-breed trained molecular breeding values had similar accuracies. The benefit of adding data from other breeds to a within-breed training population is the ability to produce molecular breeding values that are more robust across breeds and these can be utilized until enough training data has been accumulated to allow for a within-breed training set.     

Comparing strategies for selection of low-density SNPs for imputation-mediated genomic prediction in U. S. Holsteins

SNP chips are commonly used for genotyping animals in genomic selection but strategies for selecting low-density (LD) SNPs for imputation-mediated genomic selection have not been addressed adequately. The main purpose of the present study was to compare the performance of eight LD (6K) SNP panels, each selected by a different strategy exploiting a combination of three major factors: evenly-spaced SNPs, increased minor allele frequencies, and SNP-trait associations either for single traits independently or for all the three traits jointly. The imputation accuracies from 6K to 80K SNP genotypes were between 96.2 and 98.2%. Genomic prediction accuracies obtained using imputed 80K genotypes were between 0.817 and 0.821 for daughter pregnancy rate, between 0.838 and 0.844 for fat yield, and between 0.850 and 0.863 for milk yield. The two SNP panels optimized on the three major factors had the highest genomic prediction accuracy (0.821–0.863), and these accuracies were very close to those obtained using observed 80K genotypes (0.825–0.868). Further exploration of the underlying relationships showed that genomic prediction accuracies did not respond linearly to imputation accuracies, but were significantly affected by genotype (imputation) errors of SNPs in association with the traits to be predicted. SNPs optimal for map coverage and MAF were favorable for obtaining accurate imputation of genotypes whereas trait-associated SNPs improved genomic prediction accuracies. Thus, optimal LD SNP panels were the ones that combined both strengths. The present results have practical implications on the design of LD SNP chips for imputation-enabled genomic prediction.     

Race,Ethnicity, Psychosocial Factors,and Telomere Length in a Multicenter Setting

Background

Leukocyte telomere length(LTL) has been associated with age, self-reported race/ethnicity, gender, education, and psychosocial factors, including perceived stress, and depression. However, inconsistencies in associations of LTL with disease and other phenotypes exist across studies. Population characteristics, including race/ethnicity, laboratory methods, and statistical approaches in LTL have not been comprehensively studied and could explain inconsistent LTL associations.

Methods

LTL was measured using Southern Blot in 1510 participants from a multi-ethnic, multi-center study combining data from 3 centers with different population characteristics and laboratory processing methods. Main associations between LTL and psychosocial factors and LTL and race/ethnicity were evaluated and then compared across generalized estimating equations(GEE) and linear regression models. Statistical models were adjusted for factors typically associated with LTL(age, gender, cancer status) and also accounted for factors related to center differences, including laboratory methods(i.e., DNA extraction). Associations between LTL and psychosocial factors were also evaluated within race/ethnicity subgroups (Non-hispanic Whites, African Americans, and Hispanics).

Results

Beyond adjustment for age, gender, and cancer status, additional adjustments for DNA extraction and clustering by center were needed given their effects on LTL measurements. In adjusted GEE models, longer LTL was associated with African American race (Beta(β)(standard error(SE)) = 0.09(0.04), p-value = 0.04) and Hispanic ethnicity (β(SE) = 0.06(0.01), p-value = 0.02) compared to Non-Hispanic Whites. Longer LTL was also associated with less than a high school education compared to having greater than a high school education (β(SE) = 0.06(0.02), p-value = 0.04). LTL was inversely related to perceived stress (β(SE) = -0.02(0.003), p<0.001). In subgroup analyses, there was a negative association with LTL in African Americans with a high school education versus those with greater than a high school education(β(SE) = -0.11(0.03), p-value<0.001).

Conclusions

Laboratory methods and population characteristics that differ by center can influence telomere length associations in multicenter settings, but these effects could be addressed through statistical adjustments. Proper evaluation of potential sources of bias can allow for combined multicenter analyses and may resolve some inconsistencies in reporting of LTL associations. Further, biologic effects on LTL may differ under certain psychosocial and racial/ethnic circumstances and could impact future health disparity studies.     

Co-regulation of pituitary tumor cell adhesion and prolactin gene expression by glucocorticoid

Rat 235-1 pituitary tumor cells are lactotrophs producing high levels of prolactin (PRL). Dexamethasone (Dex, 100 nM) inhibits PRL gene expression in 235-1 cells by 50%, while simultaneously decreasing cell replication and cell-cell aggregation. To determine the time course of Dex action, we used a quantitative assay for cell-cell interaction, based on the number of single cells present before and after re-aggregation of dispersed cells. 235-1 cells were cultured in growth medium or medium plus 100 nM Dex for 1–4 days before assay. Control cells had 90% re-aggregation on all days of assay. Aggregation of Dex-treated cells decreased to 55% by day 4. Dex treatment also reduced cell numbers by 40%, but this decrease did not contribute to reduced aggregation. To determine the mechanism of Dex-inhibited cell-cell adhesion, we examined the expression of cadherins and catenins. Cadherin-related mRNAs (P- and N-cadherin probes) were detectable in 235-1 cells, but their levels were unchanged by Dex. A pan-cadherin antibody was unable to detect classical cadherins in these cells. Both α- and β-catenins were detected by Western blotting and their levels were decreased by Dex. Unlike control aggregates, aggregates of Dex-treated cells were able to inhibit expression of PRL mRNA when added to monolayers of 235-1 cells. These data suggest that Dex influences cadherin function by inhibiting catenin expression and that this has the functional consequence of altering 235-1 cell-cell interactions. Overall the data show that Dex affects important aspects of lactotroph function other than PRL gene expression. These changes may include physical alterations in pituitary cell contacts that further support a change in functional state. J. Cell. Physiol. 174:115–124, 1998. © 1998 Wiley-Liss, Inc.     

The nucleotide sequence of the 17S ribosomal RNA gene of Tetrahymena thermophila and the identification of point mutations resulting in resistance to the antibiotics paromomycin and hygromycin

We have determined the complete sequence of the nuclear gene encoding the small subunit (17 S) rRNA of the ciliated protozoan Tetrahymena thermophila. The gene encodes an RNA molecule which is 1753 nucleotides in length. The sequence of the Tetrahymena small subunit rRNA is homologous to those of other eukaryotes, and the predicted secondary structure for the molecule includes features which are characteristic of eukaryotic small subunit rRNAs. We have also determined the nature of two different mutations in the Tetrahymena 17 S gene which result in resistance to the aminoglycoside antibiotics paromomycin and hygromycin. In each case we have identified a single base change near the 3' end of the rRNA, within a region that is highly evolutionarily conserved in both sequence and secondary structure. Analysis of the effects of these mutations on rRNA structure, and of the impact of these drugs on translation, should help to elucidate the role of the small subunit ribosomal RNA in ribosome function.     

Characterization of auditory afferents in the tiger beetle,Cicindela marutha Dow

We have identified a nerve carrying auditory afferents and characterized their physiological responses in the tiger beetle,Cicindela marutha.