Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests

Background  

Chow and Liu showed that the maximum likelihood tree for multivariate discrete distributions may be found using a maximum weight spanning tree algorithm, for example Kruskal's algorithm. The efficiency of the algorithm makes it tractable for high-dimensional problems.     

How to measure,report and verify soil carbon change to realize the potential of soil carbon sequestration for atmospheric greenhouse gas removal

There is growing international interest in better managing soils to increase soil organic carbon (SOC) content to contribute to climate change mitigation, to enhance resilience to climate change and to underpin food security, through initiatives such as international ‘4p1000’ initiative and the FAO's Global assessment of SOC sequestration potential (GSOCseq) programme. Since SOC content of soils cannot be easily measured, a key barrier to implementing programmes to increase SOC at large scale, is the need for credible and reliable measurement/monitoring, reporting and verification (MRV) platforms, both for national reporting and for emissions trading. Without such platforms, investments could be considered risky. In this paper, we review methods and challenges of measuring SOC change directly in soils, before examining some recent novel developments that show promise for quantifying SOC. We describe how repeat soil surveys are used to estimate changes in SOC over time, and how long‐term experiments and space‐for‐time substitution sites can serve as sources of knowledge and can be used to test models, and as potential benchmark sites in global frameworks to estimate SOC change. We briefly consider models that can be used to simulate and project change in SOC and examine the MRV platforms for SOC change already in use in various countries/regions. In the final section, we bring together the various components described in this review, to describe a new vision for a global framework for MRV of SOC change, to support national and international initiatives seeking to effect change in the way we manage our soils.     

A Novel Assay for Measurement of Membrane‐Protein Surface Expression using a β‐lactamase Reporter

The trafficking of membrane proteins is dynamic and contributes to the homeostatic control of their cell surface localization and their function in signal transduction. Therefore, it is important to have sensitive techniques that allow measurement of surface expression. The current assays for such measurement are time consuming and low throughput. Here, we describe a quantitative, one‐step and potentially high‐throughput assay, using the β‐lactamase enzyme (βlac) as a reporter, for measurement of surface expression of proteins. In this assay, the βlac is fused to the extracellular portion of the plasma membrane protein of interest. To selectively measure surface expression, a cell‐impermeable substrate of βlac, nitrocefin, is used. We demonstrate the utility of the βlac assay using well‐established paradigms of internalization and molecular chaperoning, applied to two G‐protein‐coupled receptors and a monoamine transporter. Considering its simplicity and low cost, this assay could become a standard technique in the measurement of protein surface expression .      

Enlarging a training set for genomic selection by imputation of un-genotyped animals in populations of varying genetic architecture

Background

The most common application of imputation is to infer genotypes of a high-density panel of markers on animals that are genotyped for a low-density panel. However, the increase in accuracy of genomic predictions resulting from an increase in the number of markers tends to reach a plateau beyond a certain density. Another application of imputation is to increase the size of the training set with un-genotyped animals. This strategy can be particularly successful when a set of closely related individuals are genotyped.

Methods

Imputation on completely un-genotyped dams was performed using known genotypes from the sire of each dam, one offspring and the offspring’s sire. Two methods were applied based on either allele or haplotype frequencies to infer genotypes at ambiguous loci. Results of these methods and of two available software packages were compared. Quality of imputation under different population structures was assessed. The impact of using imputed dams to enlarge training sets on the accuracy of genomic predictions was evaluated for different populations, heritabilities and sizes of training sets.

Results

Imputation accuracy ranged from 0.52 to 0.93 depending on the population structure and the method used. The method that used allele frequencies performed better than the method based on haplotype frequencies. Accuracy of imputation was higher for populations with higher levels of linkage disequilibrium and with larger proportions of markers with more extreme allele frequencies. Inclusion of imputed dams in the training set increased the accuracy of genomic predictions. Gains in accuracy ranged from close to zero to 37.14%, depending on the simulated scenario. Generally, the larger the accuracy already obtained with the genotyped training set, the lower the increase in accuracy achieved by adding imputed dams.

Conclusions

Whenever a reference population resembling the family configuration considered here is available, imputation can be used to achieve an extra increase in accuracy of genomic predictions by enlarging the training set with completely un-genotyped dams. This strategy was shown to be particularly useful for populations with lower levels of linkage disequilibrium, for genomic selection on traits with low heritability, and for species or breeds for which the size of the reference population is limited.     

Bacterial colonization of Hydra hatchlings follows a robust temporal pattern

Animals are colonized by complex bacterial communities. The processes controlling community membership and influencing the establishment of the microbial ecosystem during development are poorly understood. Here we aimed to explore the assembly of bacterial communities in Hydra with the broader goal of elucidating the general rules that determine the temporal progression of bacterial colonization of animal epithelia. We profiled the microbial communities in polyps at various time points after hatching in four replicates. The composition and temporal patterns of the bacterial communities were strikingly similar in all replicates. Distinct features included high diversity of community profiles in the first week, a remarkable but transient adult-like profile 2 weeks after hatching, followed by progressive emergence of a stable adult-like pattern characterized by low species diversity and the preponderance of the Betaproteobacterium Curvibacter. Intriguingly, this process displayed important parallels to the assembly of human fecal communities after birth. In addition, a mathematical modeling approach was used to uncover the organizational principles of this colonization process, suggesting that both, local environmental or host-derived factor(s) modulating the colonization rate, as well as frequency-dependent interactions of individual bacterial community members are important aspects in the emergence of a stable bacterial community at the end of development.     

Does small-sided-games’ court area influence metabolic,perceptual, and physical performance parameters of young elite basketball players?

The purpose of this study was to investigate the effect of court size on physiological responses and physical performance of young elite basketball players. Twelve male basketball players (18.6 ± 0.5 years; 88.8 ± 14.5 kg; 192.6 ± 6.5 cm) from an under-19 team performed two small-sided games (matches) with different court areas (28x15 m and 28x9 m; 28x15 and 28x9 protocols). The number of players (3x3) was kept the same in each protocol. The players performed a repeated-sprint ability (RSA) test before and after each match. Blood lactate concentration was collected before (pre) and after (post) the matches, and the session rating of perceived exertion (session-RPE) was determined 30 minutes after the match. Best and mean time in the RSA test were not different between the 28x15 and the 28x9 match protocols (p > 0.05). A significant difference was observed for lactate concentration from pre- to post-match (p < 0.05) in both protocols (28x15 and 28x9); however, there was no significant interaction between protocols. A similar session-RPE mean score (28x15: 7.2 ± 1.4 and 28x9: 6.6 ± 1.4) was detected for both protocols (p > 0.05, ES=0.41). In summary, the results of the current study suggest that the different court areas induced similar responses. Although there was no significant difference in effort perception, players tended to perceive a greater effort in the larger court size.     

Endophilin regulates JNK activation through its interaction with the germinal center kinase-like kinase

The endophilin family of proteins function in clathrin-mediated endocytosis. Here, we have identified and cloned the rat germinal center kinase-like kinase (rGLK), a member of the GCK (germinal center kinase) family of c-Jun N-terminal kinase (JNK) activating enzymes, as a novel endophilin I-binding partner. The interaction occurs both in vitro and in cells and is mediated by the Src homology 3 domain of endophilin I and a region of rGLK containing the endophilin consensus-binding sequence PPRPPPPR. Overlay analysis of rat brain extracts demonstrates that endophilin I is a major Src homology 3 domain-binding partner for rGLK. Overexpression of full-length endophilin I activates rGLK-mediated JNK activation, whereas N- and C-terminal fragments of endophilin I block JNK activation. Thus, endophilin I appears to have a novel function in JNK activation.     

Biochemical and biophysical demonstration of GPCR oligomerization in mammalian cells

In contrast to other families of cell surface receptors, like tyrosine kinase receptors, for which dimerization is an integral part of the activation process, G-protein-coupled receptors (GPCRs) were thought, until recently, to function as monomeric units. However, a growing body of evidence indicates that GPCRs could exist and be active as oligomeric complexes. Because they are major pharmacological targets, their existence as homo- or hetero- oligomers could have important implications for the development and screening of new drugs. The major evidences supporting the idea of GPCR oligomerization come from indirect biochemical or pharmacological experiments. Here we report, using traditional co-immunoprecipitation methods, the existence of differentially epitope-tagged beta2-adrenergic receptor (beta2AR) oligomers in mammalian HEK-293 cells. Moreover, we validate the existence of receptor oligomers in living cells by a new Bioluminescence Resonance Energy Transfer (BRET) technique. Our results clearly demonstrate the presence of constitutive beta2AR oligomers in living cells that can be modulated by the selective adrenergic agonist isoproterenol, suggesting a pertinent physiological role for GPCR oligomerization.     

Evidence of Gene Conversion Events Between Paralogous Sequences Produced by Tetraploidization in Salmoninae Fish

We investigated the occurrence of gene conversions between paralogous sequences of Salmoninae derived from ancestral tetraploidization and their effect on the evolutionary history of DNA sequences. A microsatellite with long flanking regions (750 bp) including both coding and noncoding sequences was analyzed. Microsatellite size polymorphism was used to detect the alleles of both paralogous counterparts and infer linkage arrangement between loci. DNA sequencing of seven Salmoninae species revealed that paralogous sequences were highly differentiated within species, especially for noncoding regions. Ten gene conversion events between paralogous sequences were inferred. While these events appears to have homogenized regions of otherwise highly differential paralogous sequences, they amplified the differentiation among orthologous sequences. Their effects were larger on coding than on noncoding regions. As a consequence, noncoding sequences grouped by orthologous lineages in phylogenetic trees, whereas coding regions grouped by taxa. Based upon these results, we present a model showing how gene conversion events may also result in the PCR amplification of nonorthologous sequences in different taxa, with obvious complications for phylogenetic inferences, comparative mapping, and population genetic studies. Received: 11 October 2000 / Accepted: 18 September 2001