High-Resolution Phenotypic Profiling Defines Genes Essential for Mycobacterial Growth and Cholesterol Catabolism

The pathways that comprise cellular metabolism are highly interconnected, and alterations in individual enzymes can have far-reaching effects. As a result, global profiling methods that measure gene expression are of limited value in predicting how the loss of an individual function will affect the cell. In this work, we employed a new method of global phenotypic profiling to directly define the genes required for the growth of Mycobacterium tuberculosis. A combination of high-density mutagenesis and deep-sequencing was used to characterize the composition of complex mutant libraries exposed to different conditions. This allowed the unambiguous identification of the genes that are essential for Mtb to grow in vitro, and proved to be a significant improvement over previous approaches. To further explore functions that are required for persistence in the host, we defined the pathways necessary for the utilization of cholesterol, a critical carbon source during infection. Few of the genes we identified had previously been implicated in this adaptation by transcriptional profiling, and only a fraction were encoded in the chromosomal region known to encode sterol catabolic functions. These genes comprise an unexpectedly large percentage of those previously shown to be required for bacterial growth in mouse tissue. Thus, this single nutritional change accounts for a significant fraction of the adaption to the host. This work provides the most comprehensive genetic characterization of a sterol catabolic pathway to date, suggests putative roles for uncharacterized virulence genes, and precisely maps genes encoding potential drug targets

The CCR4-NOT Complex Physically and Functionally Interacts with TRAMP and the Nuclear Exosome

BACKGROUND: Ccr4-Not is a highly conserved multi-protein complex consisting in yeast of 9 subunits, including Not5 and the major yeast deadenylase Ccr4. It has been connected functionally in the nucleus to transcription by RNA polymerase II and in the cytoplasm to mRNA degradation. However, there has been no evidence so far that this complex is important for RNA degradation in the nucleus. METHODOLOGY/PRINCIPAL FINDINGS: In this work we point to a new role for the Ccr4-Not complex in nuclear RNA metabolism. We determine the importance of the Ccr4-Not complex for the levels of non-coding nuclear RNAs, such as mis-processed and polyadenylated snoRNAs, whose turnover depends upon the nuclear exosome and TRAMP. Consistently, mutation of both the Ccr4-Not complex and the nuclear exosome results in synthetic slow growth phenotypes. We demonstrate physical interactions between the Ccr4-Not complex and the exosome. First, Not5 co-purifies with the exosome. Second, several exosome subunits co-purify with the Ccr4-Not complex. Third, the Ccr4-Not complex is important for the integrity of large exosome-containing complexes. Finally, we reveal a connection between the Ccr4-Not complex and TRAMP through the association of the Mtr4 helicase with the Ccr4-Not complex and the importance of specific subunits of Ccr4-Not for the association of Mtr4 with the nuclear exosome subunit Rrp6. CONCLUSIONS/SIGNIFICANCE: We propose a model in which the Ccr4-Not complex may provide a platform contributing to dynamic interactions between the nuclear exosome and its co-factor TRAMP. Our findings connect for the first time the different players involved in nuclear and cytoplasmic RNA degradation

Analysis of Pools of Targeted Salmonella Deletion Mutants Identifies Novel Genes Affecting Fitness during Competitive Infection in Mice

Pools of mutants of minimal complexity but maximal coverage of genes of interest facilitate screening for genes under selection in a particular environment. We constructed individual deletion mutants in 1,023 Salmonella enterica serovar Typhimurium genes, including almost all genes found in Salmonella but not in related genera. All mutations were confirmed simultaneously using a novel amplification strategy to produce labeled RNA from a T7 RNA polymerase promoter, introduced during the construction of each mutant, followed by hybridization of this labeled RNA to a Typhimurium genome tiling array. To demonstrate the ability to identify fitness phenotypes using our pool of mutants, the pool was subjected to selection by intraperitoneal injection into BALB/c mice and subsequent recovery from spleens. Changes in the representation of each mutant were monitored using T7 transcripts hybridized to a novel inexpensive minimal microarray. Among the top 120 statistically significant spleen colonization phenotypes, more than 40 were mutations in genes with no previously known role in this model. Fifteen phenotypes were tested using individual mutants in competitive assays of intraperitoneal infection in mice and eleven were confirmed, including the first two examples of attenuation for sRNA mutants in Salmonella. We refer to the method as Array-based analysis of cistrons under selection (ABACUS)

A refined higher order finite element for asymmetric composite beams

A refined 2-node, 4 DOF/node beam element is derived based on higher order shear deformation theory for axial–flexural-shear coupled deformation in asymmetrically stacked laminated composite beams. The element has an exact shape function matrix, which is derived by satisfying the static part of the governing equations of motion, where a general ply-stacking is considered. This makes the element super-convergent in static analysis. The numerical results are validated by considering uniformly distributed load with various boundary conditions. Subsequently, the efficiency of the element for free vibration analysis is studied. Numerical examples showing the nature of interlaminar stresses for various ply-stacking configurations and boundary conditions are demonstrated. Also, parametric studies are performed to study the effect of coupling and stiffness on the natural frequencies. Based on these studies, number of observations are drawn

The NOT proteins are part of the CCR4 transcriptional complex and affect gene expression both positively and negatively.

The CCR4 transcriptional regulatory complex consisting of CCR4, CAF1, DBF2 and other unidentified factors is one of several groups of proteins that affect gene expression. Using mass spectrometry, we have identified the 195, 185 and 116 kDa species which are part of the CCR4 complex. The 195 and 185 kDa proteins were found to be NOT1 and the 116 kDa species was identical to NOT3. NOT1, 2, 3 and 4 proteins are part of a regulatory complex that negatively affects transcription. All four NOT proteins were found to co-immunoprecipitate with CCR4 and CAF1, and NOT1 co-purified with CCR4 and CAF1 through three chromatographic steps in a complex estimated to be 1.2x10(6) Da in size. Mutations in the NOT genes affected many of the same genes and processes that are affected by defects in the CCR4 complex components, including reduction in ADH2 derepression, defective cell wall integrity and increased sensitivity to monoand divalent ions. Similarly, ccr4, caf1 and dbf2 alleles negatively regulated FUS1-lacZ expression, as do defects in the NOT genes. These results indicate that the NOT proteins are physically and functionally part of the CCR4 complex which forms a unique and novel complex that affects transcription both positively and negatively

Global discovery of adaptive mutations

While modern DNA sequencing enables rapid identification of genetic variation, characterizing the phenotypic consequences of individual mutations remains a labor-intensive task. Here, we describe ADAM (Array-based Discovery of Adaptive Mutations), a technology that searches an entire bacterial genome for mutations that contribute to selectable phenotypic variation between an evolved strain and its parent. We show that ADAM finds adaptive mutations in laboratory-evolved Escherichia coli strains with high sensitivity and specificity

Flux-based vs. topology-based similarity of metabolic genes

Abstract. We present an effectively computable measure of functional gene similarity that is based on metabolic gene activity across a variety of growth media. We applied this measure to 750 genes comprising the metabolic network of the budding yeast. Comparing the in silico computed functional similarities to those obtained by using experimental expression data, we show that our computational method captures similarities beyond those that are obtained by the topological analysis of metabolic networks, thus revealing—at least in part—dynamic characteristics of gene function. We also suggest that network centrality partially explains functional centrality (i.e. the number of functionally highly similar genes) by reporting a significant correlation between the two. Finally, we find that functional similarities between topologically distant genes occur between genes with different GO annotations.

Saccharomyces cerevisiae Ccr4–Not complex contributes to the control of Msn2p-dependent transcription by the Ras/cAMP pathway

The Ccr4–Not complex is a global regulator of transcription that affects genes positively and negatively and is thought to modulate the activity of TFIID. In the present work, we provide evidence that the Ccr4–Not complex may contribute to transcriptional regulation by the Ras/cAMP pathway. Several observations support this model. First, Msn2/4p-dependent transcription, which is known to be under negative control of cAMP-dependent protein kinase (PKA), is derepressed in all ccr4–not mutants. This phenotype is paralleled by specific post-translational modification defects of Msn2p in ccr4–not mutants relative to wild-type cells. Secondly, mutations in various NOT genes result in a synthetic temperature-sensitive growth defect when combined with mutations that compromise cells for PKA activity and at least partially suppress the effects of both a dominant-active RAS2Val-19 allele and loss of Rim15p. Thirdly, Not3p and Not5p, which are modified and subsequently degraded by stress signals that also lead to increased Msn2/4p-dependent activity, show a specific twohybrid interaction with Tpk2p. Together, our results suggest that the Ccr4–Not complex may function as an effector of the Ras/cAMP pathway that contributes to repress basal, stress- and starvation-induced transcription by Msn2/4p