A study of Gersonides in his proper perspective

Columbia, Univ., Diss., 1926

Cis-acting elements and developmental regulators govern toxin gene expression in Bacillus anthracis

Expression of the structural genes for the anthrax toxin proteins is coordinately controlled by host-related signals such as elevated CO2 , and the trans-acting positive regulator, AtxA. No specific binding of AtxA to the toxin gene promoters has been demonstrated and no sequence-based similarities are apparent in the promoter regions of toxin genes. We hypothesized that the toxin genes possess common structural features that are required for positive regulation. To test this hypothesis, I performed an extensive characterization of the toxin gene promoters. I determined the minimal sequences required for atxA-mediated toxin gene expression and compared these sequences for structural similarities. In silico modeling and in vitro experiments indicated significant curvature within these regions. Random mutagenesis revealed that point mutations associated with reduced transcriptional activity, mostly mapped to areas of high curvature. This work enabled the identification of two potential cis-acting elements implicated in AtxA-mediated regulation of the toxin genes. In addition to the growth condition requirements and AtxA, toxin gene expression is under growth phase regulation. The transition state regulator AbrB represses atxA expression to influence toxin synthesis. Here I report that toxin gene expression also requires sigH, a gene encoding the RNA polymerase sigma factor associated with development in B. subtilis. In the well-studied B. subtilis system, σH is part of a feedback control pathway that involves AbrB and the major response regulator of sporulation initiation, Spo0A. My data indicate that in B. anthracis, regulatory relationships exist between these developmental regulators and atxA . Interestingly, during growth in toxin-inducing conditions, sigH and abrB expression deviates from that described for B. subtilis, affecting expression of the atxA gene. These findings, combined with previous observations, suggest that the steady state level of atxA expression is critical for optimal toxin gene transcription. I propose a model whereby, under toxin-inducing conditions, control of toxin gene expression is fine-tuned by the independent effects of the developmental regulators on the expression of atxA . The growth condition-dependent changes in expression of these regulators may be crucial for the correct timing and uninterrupted expression of the toxin genes during infection. ^

Control of the master virulence regulatory gene atxA in Bacillus anthracis

Transcription of the Bacillus anthracis structural genes for the anthrax toxin proteins and biosynthetic operon for capsule are positively regulated by AtxA, a transcription regulator with unique properties. Consistent with the role of atxA in virulence factor expression, a B. anthracis atxA-null mutant is avirulent in a murine model for anthrax. In batch culture, multiple signals impact atxA transcript levels, and the timing and steady state level of atxA expression is critical for optimal toxin and capsule synthesis. Despite the apparent complex control of atxA transcription, only one trans-acting protein, the transition state regulator AbrB, has been demonstrated to directly interact with the atxA promoter. The AbrB-binding site has been described, but additional cis-acting control sequences have not been defined. Using transcriptional lacZ fusions, electrophoretic mobility shift assays, and Western blot analysis, the cis-acting elements and trans-acting factors involved in regulation of atxA in B. anthracis strains containing either both virulence plasmids, pXO1 and pXO2, or only one plasmid, pXO1, were studied. This work demonstrates that atxA transcription from the major start site P1 is dependent upon a consensus sequence for the housekeeping sigma factor SigA, and an A+T-rich upstream element (UP-element) for RNA polymerase (RNAP). In addition, the data show that a trans-acting protein(s) other than AbrB negatively impacts atxA transcription when it binds specifically to a 9-bp palindrome within atxA promoter sequences located downstream of P1. Mutation of the palindrome prevents binding of the trans-acting protein(s) and results in a corresponding increase in AtxA and anthrax toxin production in a strain- and culture-dependent manner. The identity of the trans-acting repressor protein(s) remains elusive; however, phenotypes associated with mutation of the repressor binding site have revealed that the trans-acting repressor protein(s) indirectly controls B. anthracis development. Mutation of the repressor binding site results in misregulation and overexpression of AtxA in conditions conducive for development, leading to a marked sporulation defect that is both atxA- and pXO2-61-dependent. pXO2-61 is homologous to the sensor domain of sporulation sensor histidine kinases and is proposed to titrate an activating signal away from the sporulation phosphorelay when overexpressed by AtxA. These results indicate that AtxA is not only a master virulence regulator, but also a modulator of proper B. anthracis development. Also demonstrated in this work is the impact of the developmental regulators AbrB, Spo0A, and SigH on atxA expression and anthrax toxin production in a genetically incomplete (pXO1+, pXO2-) and genetically complete (pXO1+, pXO2+) strain background. AtxA and anthrax toxin production resulting from deletion of the developmental regulators are strain-dependent suggesting that factors on pXO2 are involved in control of atxA. The only developmental deletion mutant that resulted in a prominent and consistent strain-independent increase in AtxA protein levels was an abrB-null mutant. As a result of increased AtxA levels, there is early and increased production of anthrax toxins in an abrB-null mutant. In addition, the abrB-null mutant exhibited an increase in virulence in a murine model for anthrax. In contrast, virulence of the atxA promoter mutant was unaffected in a murine model for anthrax despite the production of 5-fold more AtxA than the abrB-null mutant. These results imply that AtxA is not the only factor impacting pathogenesis in an abrB-null mutant. Overall, this work highlights the complex regulatory network that governs expression of atxA and provides an additional role for AtxA in B. anthracis development.

TIME SERIES ANALYSIS AS INPUT FOR PREDICTIVE MODELING: PREDICTING CARDIAC ARREST IN A PEDIATRIC INTENSIVE CARE UNIT

The first manuscript, entitled "Time-Series Analysis as Input for Clinical Predictive Modeling: Modeling Cardiac Arrest in a Pediatric ICU" lays out the theoretical background for the project. There are several core concepts presented in this paper. First, traditional multivariate models (where each variable is represented by only one value) provide single point-in-time snapshots of patient status: they are incapable of characterizing deterioration. Since deterioration is consistently identified as a precursor to cardiac arrests, we maintain that the traditional multivariate paradigm is insufficient for predicting arrests. We identify time series analysis as a method capable of characterizing deterioration in an objective, mathematical fashion, and describe how to build a general foundation for predictive modeling using time series analysis results as latent variables. Building a solid foundation for any given modeling task involves addressing a number of issues during the design phase. These include selecting the proper candidate features on which to base the model, and selecting the most appropriate tool to measure them. We also identified several unique design issues that are introduced when time series data elements are added to the set of candidate features. One such issue is in defining the duration and resolution of time series elements required to sufficiently characterize the time series phenomena being considered as candidate features for the predictive model. Once the duration and resolution are established, there must also be explicit mathematical or statistical operations that produce the time series analysis result to be used as a latent candidate feature. In synthesizing the comprehensive framework for building a predictive model based on time series data elements, we identified at least four classes of data that can be used in the model design. The first two classes are shared with traditional multivariate models: multivariate data and clinical latent features. Multivariate data is represented by the standard one value per variable paradigm and is widely employed in a host of clinical models and tools. These are often represented by a number present in a given cell of a table. Clinical latent features derived, rather than directly measured, data elements that more accurately represent a particular clinical phenomenon than any of the directly measured data elements in isolation. The second two classes are unique to the time series data elements. The first of these is the raw data elements. These are represented by multiple values per variable, and constitute the measured observations that are typically available to end users when they review time series data. These are often represented as dots on a graph. The final class of data results from performing time series analysis. This class of data represents the fundamental concept on which our hypothesis is based. The specific statistical or mathematical operations are up to the modeler to determine, but we generally recommend that a variety of analyses be performed in order to maximize the likelihood that a representation of the time series data elements is produced that is able to distinguish between two or more classes of outcomes. The second manuscript, entitled "Building Clinical Prediction Models Using Time Series Data: Modeling Cardiac Arrest in a Pediatric ICU" provides a detailed description, start to finish, of the methods required to prepare the data, build, and validate a predictive model that uses the time series data elements determined in the first paper. One of the fundamental tenets of the second paper is that manual implementations of time series based models are unfeasible due to the relatively large number of data elements and the complexity of preprocessing that must occur before data can be presented to the model. Each of the seventeen steps is analyzed from the perspective of how it may be automated, when necessary. We identify the general objectives and available strategies of each of the steps, and we present our rationale for choosing a specific strategy for each step in the case of predicting cardiac arrest in a pediatric intensive care unit. Another issue brought to light by the second paper is that the individual steps required to use time series data for predictive modeling are more numerous and more complex than those used for modeling with traditional multivariate data. Even after complexities attributable to the design phase (addressed in our first paper) have been accounted for, the management and manipulation of the time series elements (the preprocessing steps in particular) are issues that are not present in a traditional multivariate modeling paradigm. In our methods, we present the issues that arise from the time series data elements: defining a reference time; imputing and reducing time series data in order to conform to a predefined structure that was specified during the design phase; and normalizing variable families rather than individual variable instances. The final manuscript, entitled: "Using Time-Series Analysis to Predict Cardiac Arrest in a Pediatric Intensive Care Unit" presents the results that were obtained by applying the theoretical construct and its associated methods (detailed in the first two papers) to the case of cardiac arrest prediction in a pediatric intensive care unit. Our results showed that utilizing the trend analysis from the time series data elements reduced the number of classification errors by 73%. The area under the Receiver Operating Characteristic curve increased from a baseline of 87% to 98% by including the trend analysis. In addition to the performance measures, we were also able to demonstrate that adding raw time series data elements without their associated trend analyses improved classification accuracy as compared to the baseline multivariate model, but diminished classification accuracy as compared to when just the trend analysis features were added (ie, without adding the raw time series data elements). We believe this phenomenon was largely attributable to overfitting, which is known to increase as the ratio of candidate features to class examples rises. Furthermore, although we employed several feature reduction strategies to counteract the overfitting problem, they failed to improve the performance beyond that which was achieved by exclusion of the raw time series elements. Finally, our data demonstrated that pulse oximetry and systolic blood pressure readings tend to start diminishing about 10-20 minutes before an arrest, whereas heart rates tend to diminish rapidly less than 5 minutes before an arrest.

Modeling Techniques for the High-Resolution Interpretation of Cryo-Electron Microscopy Reconstructions

Essential biological processes are governed by organized, dynamic interactions between multiple biomolecular systems. Complexes are thus formed to enable the biological function and get dissembled as the process is completed. Examples of such processes include the translation of the messenger RNA into protein by the ribosome, the folding of proteins by chaperonins or the entry of viruses in host cells. Understanding these fundamental processes by characterizing the molecular mechanisms that enable then, would allow the (better) design of therapies and drugs. Such molecular mechanisms may be revealed trough the structural elucidation of the biomolecular assemblies at the core of these processes. Various experimental techniques may be applied to investigate the molecular architecture of biomolecular assemblies. High-resolution techniques, such as X-ray crystallography, may solve the atomic structure of the system, but are typically constrained to biomolecules of reduced flexibility and dimensions. In particular, X-ray crystallography requires the sample to form a three dimensional (3D) crystal lattice which is technically di‑cult, if not impossible, to obtain, especially for large, dynamic systems. Often these techniques solve the structure of the different constituent components within the assembly, but encounter difficulties when investigating the entire system. On the other hand, imaging techniques, such as cryo-electron microscopy (cryo-EM), are able to depict large systems in near-native environment, without requiring the formation of crystals. The structures solved by cryo-EM cover a wide range of resolutions, from very low level of detail where only the overall shape of the system is visible, to high-resolution that approach, but not yet reach, atomic level of detail. In this dissertation, several modeling methods are introduced to either integrate cryo-EM datasets with structural data from X-ray crystallography, or to directly interpret the cryo-EM reconstruction. Such computational techniques were developed with the goal of creating an atomic model for the cryo-EM data. The low-resolution reconstructions lack the level of detail to permit a direct atomic interpretation, i.e. one cannot reliably locate the atoms or amino-acid residues within the structure obtained by cryo-EM. Thereby one needs to consider additional information, for example, structural data from other sources such as X-ray crystallography, in order to enable such a high-resolution interpretation. Modeling techniques are thus developed to integrate the structural data from the different biophysical sources, examples including the work described in the manuscript I and II of this dissertation. At intermediate and high-resolution, cryo-EM reconstructions depict consistent 3D folds such as tubular features which in general correspond to alpha-helices. Such features can be annotated and later on used to build the atomic model of the system, see manuscript III as alternative. Three manuscripts are presented as part of the PhD dissertation, each introducing a computational technique that facilitates the interpretation of cryo-EM reconstructions. The first manuscript is an application paper that describes a heuristics to generate the atomic model for the protein envelope of the Rift Valley fever virus. The second manuscript introduces the evolutionary tabu search strategies to enable the integration of multiple component atomic structures with the cryo-EM map of their assembly. Finally, the third manuscript develops further the latter technique and apply it to annotate consistent 3D patterns in intermediate-resolution cryo-EM reconstructions. The first manuscript, titled An assembly model for Rift Valley fever virus, was submitted for publication in the Journal of Molecular Biology. The cryo-EM structure of the Rift Valley fever virus was previously solved at 27Å-resolution by Dr. Freiberg and collaborators. Such reconstruction shows the overall shape of the virus envelope, yet the reduced level of detail prevents the direct atomic interpretation. High-resolution structures are not yet available for the entire virus nor for the two different component glycoproteins that form its envelope. However, homology models may be generated for these glycoproteins based on similar structures that are available at atomic resolutions. The manuscript presents the steps required to identify an atomic model of the entire virus envelope, based on the low-resolution cryo-EM map of the envelope and the homology models of the two glycoproteins. Starting with the results of the exhaustive search to place the two glycoproteins, the model is built iterative by running multiple multi-body refinements to hierarchically generate models for the different regions of the envelope. The generated atomic model is supported by prior knowledge regarding virus biology and contains valuable information about the molecular architecture of the system. It provides the basis for further investigations seeking to reveal different processes in which the virus is involved such as assembly or fusion. The second manuscript was recently published in the of Journal of Structural Biology (doi:10.1016/j.jsb.2009.12.028) under the title Evolutionary tabu search strategies for the simultaneous registration of multiple atomic structures in cryo-EM reconstructions. This manuscript introduces the evolutionary tabu search strategies applied to enable a multi-body registration. This technique is a hybrid approach that combines a genetic algorithm with a tabu search strategy to promote the proper exploration of the high-dimensional search space. Similar to the Rift Valley fever virus, it is common that the structure of a large multi-component assembly is available at low-resolution from cryo-EM, while high-resolution structures are solved for the different components but lack for the entire system. Evolutionary tabu search strategies enable the building of an atomic model for the entire system by considering simultaneously the different components. Such registration indirectly introduces spatial constrains as all components need to be placed within the assembly, enabling the proper docked in the low-resolution map of the entire assembly. Along with the method description, the manuscript covers the validation, presenting the benefit of the technique in both synthetic and experimental test cases. Such approach successfully docked multiple components up to resolutions of 40Å. The third manuscript is entitled Evolutionary Bidirectional Expansion for the Annotation of Alpha Helices in Electron Cryo-Microscopy Reconstructions and was submitted for publication in the Journal of Structural Biology. The modeling approach described in this manuscript applies the evolutionary tabu search strategies in combination with the bidirectional expansion to annotate secondary structure elements in intermediate resolution cryo-EM reconstructions. In particular, secondary structure elements such as alpha helices show consistent patterns in cryo-EM data, and are visible as rod-like patterns of high density. The evolutionary tabu search strategy is applied to identify the placement of the different alpha helices, while the bidirectional expansion characterizes their length and curvature. The manuscript presents the validation of the approach at resolutions ranging between 6 and 14Å, a level of detail where alpha helices are visible. Up to resolution of 12 Å, the method measures sensitivities between 70-100% as estimated in experimental test cases, i.e. 70-100% of the alpha-helices were correctly predicted in an automatic manner in the experimental data. The three manuscripts presented in this PhD dissertation cover different computation methods for the integration and interpretation of cryo-EM reconstructions. The methods were developed in the molecular modeling software Sculptor (http://sculptor.biomachina.org) and are available for the scientific community interested in the multi-resolution modeling of cryo-EM data. The work spans a wide range of resolution covering multi-body refinement and registration at low-resolution along with annotation of consistent patterns at high-resolution. Such methods are essential for the modeling of cryo-EM data, and may be applied in other fields where similar spatial problems are encountered, such as medical imaging.

Regulation of myogenesis and suppression of {\it mck\/} 5$\sp\prime$ enhancer elements by TGF$\beta$ and RAS

The regulation of muscle differentiation, like cell differentiation in general, is only now beginning to be understood. Here are described several key features to myogenesis: a beginning, some intermediary events, and an endpoint. Muscle differentiation proceeds spontaneously when myoblasts are cultured in serum-poor medium. Transforming growth factor type $\beta$ (TGF$\beta$), a component of fetal serum, was found to potently suppress muscle differentiation. Prolonged blockade of differentiation required replenishing TGF$\beta$. When TGF$\beta$ was removed, cells rapidly differentiated. Both TGF$\beta$ and RAS, which also blocks myogenesis, suppress the genes for a series of muscle-specific proteins. Regions that regulate transcription of one such gene, muscle creatine kinase (mck), were located by linking progressively smaller parts of the mck 5$\sp\prime$ region to the marker gene cat and testing the constructs for regulated expression of cat in myoblasts and muscle cells. The mck promoter is not muscle-specific but requires activation. Two enhancers were found: a weak, developmentally regulated enhancer within the first intron, and a strong, compact, and tightly developmentally regulated enhancer about 1.2 Kb upstream of the transcription start site. Activity of this enhancer is eliminated by activated ras. Suppression of activated N-RAS restores potency to the upstream enhancer. Further deletion shows the mck 5$\sp\prime$ enhancer to contain an enhancer core with low but significant muscle-specific activity, and at least one peripheral element that augments core activity. The core and this peripheral element were comprised almost entirely of factor-binding motifs. The peripheral element was inactive as a single copy, but was constitutively active in multiple copies. Regions flanking the peripheral element augmented its activity and conferred partial muscle-specificity. The enhancer core is also modulated by its 5$\sp\prime$ flanking region in a complex manner. Site-specific mutants covering most of the enhancer core and interesting flanking sequences have been made; all mutants tested diminish the activity of the 5$\sp\prime$ enhancer. Alteration of the site to which MyoD1 is reported to bind completely inactivates the enhancer. A theoretical analysis of cooperativity is presented, through which the binding of a constitutively expressed nuclear factor is shown to have weak positive cooperativity. In summary, TGF$\beta$, RAS, and enhancer-binding factors are found to be initial, intermediary, and final regulators, respectively, of muscle differentiation. ^

{\it cis\/} -acting elements and {\it trans\/} -acting factors that control serum amyloid A gene expression during inflammation

To understand how the serum amyloid A (SAA) genes are regulated, the cis-acting elements and trans-acting factors involved in the regulation of mouse SAA3 and rat SAA1 genes expression during inflammation were analyzed.^ To identify DNA sequences involved in the liver-specific expression of the mouse SAA3 gene, the 5$\sp\prime$ flanking region of this gene was analyzed by transient transfection studies. Results suggest that C/EBP, a liver-enriched transcription factor, plays an important role for the enhanced expression of the mouse SAA3 gene in hepatocytes.^ Transfection studies of the regulation of the expression of rat SAA1 gene indicated that a 322 bp fragment ($-$304 to +18) of the gene contains sufficient information for cytokine-induced expression of the reporter gene in a liver cell-specific manner. Further functional analysis of the 5$\sp\prime$ flanking region of the rat SAA1 gene demonstrated that a 65 bp DNA fragment ($-$138/$-$73) can confer cytokine-inducibility onto a heterologous promoter both in liver and nonliver cells. DNase I footprint and gel retardation assays identified five putative cis-regulatory elements within the 5$\sp\prime$ flanking region of the gene: one inducible element, a NF$\kappa$B binding site and four constitutive elements. Two constitutive elements, footprint regions I and III, were identified as C/EBP binding sites with region III having over a 10-fold higher affinity for C/EBP binding than region I. Functional analysis of the cis-elements indicated that C/EBP(I) and C/EBP(III) confer liver cell-specific activation onto a heterologous promoter, while sequences corresponding to the NF$\kappa$B element and C/EBP(I) impart cytokine responsiveness onto the heterologous promoter. These results suggest that C/EBP(I) possesses two functions: liver-specific activation and cytokine responsiveness. The identification of two cytokine responsive elements (NF$\kappa$B and C/EBP(I)), and two liver-specific elements (C/EBP(I) and C/EBP(III)) implies that multiple cis-acting elements are involved in the regulation of the expression of the rat SAA1 gene. The tissue-specific and cytokine-induced expression of rat SAA1 gene is likely the result of the interactions of these cis-acting elements with their cognate trans-acting factors as well as the interplay between the different cis-acting elements and their binding factors. (Abstract shortened with permission of author.) ^

Mechanism of mRNA stability control mediated by AU -rich element: Characterization of cis-elements and trans-factors

Regulation of cytoplasmic deadenylation, the first step in mRNA turnover, has direct impact on the fate of gene expression. AU-rich elements (AREs) found in the 3′ untranslated regions of many labile mRNAs are the most common RNA-destabilizing elements known in mammalian cells. Based on their sequence features and functional properties, AREs can be divided into three classes. Class I or class III ARE directs synchronous deadenylation, whereas class II ARE directs asynchronous deadenylation with the formation of poly(A)-intermediates. Through systematic mutagenesis study, we found that a cluster of five or six copies of AUUUA motifs forming various degrees of reiteration is the key feature dictating the choice between asynchronous versus synchronous deadenylation. A 20–30 nt AU-rich sequence immediately 5 ′ to this cluster of AUUUA motifs can greatly enhance its destabilizing ability and is an integral part of the AREs. These two features are the defining characteristics of class II AREs. ^ To better understand the decay mechanism of AREs, current methods have several limitations. Taking the advantage of tetracycline-regulated promoter, we developed a new transcriptional pulse strategy, Tet-system. By controlling the time and the amount of Tet addition, a pulse of RNA could be generated. Using this new system, we showed that AREs function in both growth- and density-arrested cells. The new strategy offers for the first time an opportunity to investigate control of mRNA deadenylation and decay kinetics in mammalian cells that exhibit physiologically relevant conditions. ^ As a member of heterogeneous nuclear RNA-binding protein, hnRNP D 0/AUF1 displays specific affinities for ARE sequences in vitro . But its in vivo function in ARE-mediated mRNA decay is unclear. AUF1/hnRNP D0 is composed of at least four isoforms derived by alternative RNA splicing. Each isoform exhibits different affinity for ARE sequence in vitro. Here, we examined in vivo effect of AUF1s/hnRNP D0s on degradation of ARE-containing mRNA. Our results showed that all four isoforms exhibit various RNA stabilizing effects in NIH3T3 cells, which are positively correlated with their binding affinities for ARE sequences. Further experiments indicated that AUF1/hnRNP D0 has a general role in modulating the stability of cytoplasmic mRNAs in mammalian cells. ^

Cell survival in early embryogenesis requires proper dosage of GCN5 and p300

Histone acetylation is a central event in transcriptional activation. The importance of this modification in mammalian development is highlighted by knockout studies that revealed loss of the histone acetyltransferases GCN5, p300, or CBP results in embryonic lethality. Furthermore, early embryogenesis is sensitive to the dosage of p300 and CBP since double p300 +/−CBP+/− heterozygotes die in utero, although either single heterozygote survives. PCAF and GCN5 physically interact with p300 and CBP in vitro. To determine whether these two groups of HATs interact functionally in vivo, we created mice lacking one or more allele of p300, GCN5 or PCAF. As expected, we found that mice heterozygous for any one of these null alleles are viable. The majority of GCN5 p300 double heterozygotes also survive to adulthood with no apparent abnormalities. However, a portion of these mice die prior to birth. These embryos are developmentally stunted and exhibit increased apoptosis compared to wild type or single GCN5 or p300 heterozygous littermates at E8.5. Tissue specification is unaffected in these embryos but organ formation is compromised. In contrast, no abnormalities were observed in mice harboring mutations in both PCAF and p300 , emphasizing the specificity of HAT functions in mammalian development. ^ Since GCN5 null embryos die early in embryogenesis because of a marked increase in apoptosis, studies of its function and mechanism in late development and in tissue specific differentiation are precluded. Here, we also report the establishment of a GCN5 null embryonic stem cell line and a conditional floxGCN5 mouse line, which will serve as powerful genetic tools to examine in depth the function of GCN5 in mammalian development and in adult tissues. ^

Evolution of cis-regulatory elements in a repetitive sequence adjacent to a sea urchin aboral ectoderm -specific gene

The creation, preservation, and degeneration of cis-regulatory elements controlling developmental gene expression are fundamental genome-level evolutionary processes about which little is known. In this study, critical differences in cis-regulatory elements controlling the expression of the sea urchin aboral ectoderm-specific spec genes were identified and explored. In genomes of species within the Strongylocentrotidae family, multiple copies of a repetitive sequence element termed RSR were present, but RSRs were not detected in genomes of species outside Strongylocentrotidae. RSRs are invariably associated with spec genes, and in Strongylocentrotus purpuratus, the spec2a RSR functioned as a transcriptional enhancer displaying greater activity than RSRs from the spec1 or spec2c paralogs. Single base-pair differences at two cis-regulatory elements within the spec2a RSR greatly increased the binding affinities of four transcription factors: SpCCAAT-binding factor at one element and SpOtx, SpGoosecoid, and SpGATA-E at another. The cis-regulatory elements to which SpCCAAT-binding factor, SpOtx, SpGoosecoid, and SpGATA-E bound were recent evolutionary acquisitions that could act either to activate or repress transcription, depending on the cell type. These elements were found in the spec2a RSR ortholog in Strongylocentrotus pallidus but not in the RSR orthologs of Strongylocentrotus droebachiensis or Hemicentrotus pulcherrimus. These results indicate that spec genes exhibit a dynamic pattern of cis-regulatory element evolution while stabilizing selection preserves their aboral ectoderm expression domain. ^

Geochemical investigations of elements in sediment core CRP-1 from the Ross Sea, Antarctica

Geochemical data are presented for samples from strata, mainly of Miocene age, in the Cape Roberts-1 core (western McMurdo Sound, Antarctica) to assess the sediment provenance. Bulk (major and trace element) chemistry together with bulk mineralogy of fine-grained sandstones, siltstones, mudstones, and diamictites indicate that chemical alteration of source materials, fractionation due to sedimentary sorting, and diagenetic effects were not significant in the Cape Roberts sediment history. Relevant geochemical parameters are consistent with the Cape Roberts sediments being derived mainly from the crystalline basement and the Beacon Supergroup. On the basis of element distributions, an additional contribution from the Ferrar Dolerite and, mainly above about 60 m, influxes of detritus derived from basanitic to intermediate members of the McMurdo Volcanic Group are recognised.