Eizadora T. Yu

Triacylglycerol accumulation and profiling in the model diatoms Thalassiosira pseudonana and Phaeodactylum tricornutum (Baccilariophyceae) during starvation

Although substantial economic barriers exist, marine diatoms such as Thalassiosira pseudonana and Phaeodactylum tricornutum hold promise as feedstock for biodiesel because of their ability to manufacture and store triacylglycerols (TAGs). The recent sequencing of these two marine diatom genomes by the United States Department of Energy Joint Genome Institute and the development of improved systems for genetic manipulation should allow a more systematic approach to understanding and maximizing TAG production. However, in order to best utilize these genomes and genetic tools, we must first gain a deeper understanding of the nutrient-mediated regulation of TAG anabolism. By determining both the yield and molecular species distribution of TAGs we will, in the future, be able to fully characterize the effects of genetic manipulation. Here, we lay the groundwork for understanding TAG production in T. pseudonana and P. tricornutum, as a function of nitrate and silicate depletion. Diatoms were starved of either nitrate or silicate, and TAGs were extracted with hexane from lyophilized samples taken at various time intervals following starvation. The timing of TAG production and the relative abundance of TAGs were estimated by fluorescence spectroscopy using Nile red and the total yield per biomass determined by gravimetric assay. TAGs were analyzed using thin layer chromatography, gas chromatography–mass spectrometry, and electrospray ionization mass spectrometry to identify the major TAG species produced during the growth curve. Under our conditions, the TAG yield from T. pseudonana is about 14–18% of total dry weight. The TAG yield from P. tricornutum is about 14% of total dry weight. Silicate-starved T. pseudonana accumulated an average of 24% more TAGs than those starved for nitrate; however, the chemotypes of the TAGs produced were generally similar regardless of the starvation condition employed.

MS3D structural elucidation of the HIV-1 packaging signal

The structure of HIV-1 Ψ-RNA has been elucidated by a concerted approach combining structural probes with mass spectrometric detection (MS3D), which is not affected by the size and crystallization properties of target biomolecules. Distance constraints from bifunctional cross-linkers provided the information required for assembling an all-atom model from the high-resolution coordinates of separate domains by triangulating their reciprocal placement in 3D space. The resulting structure revealed a compact cloverleaf morphology stabilized by a long-range tertiary interaction between the GNRA tetraloop of stemloop 4 (SL4) and the upper stem of stemloop 1 (SL1). The preservation of discrete stemloop structures ruled out the possibility that major rearrangements might produce a putative supersite with enhanced affinity for the nucleocapsid (NC) domain of the viral Gag polyprotein, which would drive genome recognition and packaging. The steric situation of single-stranded regions exposed on the cloverleaf structure offered a valid explanation for the stoichiometry exhibited by full-length Ψ-RNA in the presence of NC. The participation of SL4 in a putative GNRA loop-receptor interaction provided further indications of the plasticity of this region of genomic RNA, which can also anneal with upstream sequences to stabilize alternative conformations of the 5′ untranslated region (5′-UTR). Considering the ability to sustain specific NC binding, the multifaceted activities supported by the SL4 sequence suggest a mechanism by which Gag could actively participate in regulating the vital functions mediated by 5′-UTR. Substantiated by the 3D structure of Ψ-RNA, the central role played by SL4 in specific RNA-RNA and protein-RNA interactions advances this domain as a primary target for possible therapeutic intervention.

Elucidating the higher-order structure of biopolymers by structural probing and mass spectrometry: MS3D

Chemical probing represents a very versatile alternative for studying the structure and dynamics of substrates that are intractable by established high-resolution techniques. The implementation of MS-based strategies for the characterization of probing products has not only extended the range of applicability to virtually all types of biopolymers but has also paved the way for the introduction of new reagents that would not have been viable with traditional analytical platforms. As the availability of probing data is steadily increasing on the wings of the development of dedicated interpretation aids, powerful computational approaches have been explored to enable the effective utilization of such information to generate valid molecular models. This combination of factors has contributed to making the possibility of obtaining actual 3D structures by MS-based technologies (MS3D) a reality. Although approaches for achieving structure determination of unknown targets or assessing the dynamics of known structures may share similar reagents and development trajectories, they clearly involve distinctive experimental strategies, analytical concerns and interpretation paradigms. This Perspective offers a commentary on methods aimed at obtaining distance constraints for the modeling of full-fledged structures while highlighting common elements, salient distinctions and complementary capabilities exhibited by methods used in dynamics studies. We discuss critical factors to be addressed for completing effective structural determinations and expose possible pitfalls of chemical methods. We survey programs developed for facilitating the interpretation of experimental data and discuss possible computational strategies for translating sparse spatial constraints into all-atom models. Examples are provided to illustrate how the concerted application of very diverse probing techniques can lead to the solution of actual biological systems.

An Endophytic Nodulisporium sp. Producing Volatile Organic Compounds Having Bioactivity and Fuel Potential

Nodulisporium sp. has been isolated as an endophyte of Myroxylon balsamum found in the upper Napo region of the Ecuadorian Amazon. This organism produces volatile organic compounds (VOCs) that have both fuel and biological potential. Under microaerophilic growth environments, the organism produces 1, 4-cyclohexadiene, 1-methyl- , 1-4 pentadiene and cyclohexene, 1-methyl-4-(1-methylethenyl)- along with some alcohols and terpenoids of interest as potential fuels. The fungus was scaled up in an aerated large fermentation flask, and the VOCs trapped by Carbotrap technology and analyzed by headspace solid –phase microextraction (SPME) fiber-GC/MS. Under these conditions, Nodulisporium sp. produces a series of alkyl alcohols starting with 1-butanol-3-methyl, 1- propanol-2-methyl, 1- pentanol, 1-hexanol, 1-heptanol, 1- octanol, 1-nonanol along with phenylethyl alcohol. The organism also produces secondary alkyl alcohols, esters, ketones, benzene derivatives, a few terpenoids, and some hydrocarbons. It appears that many of the products have fuel potential. Furthermore, the VOCs of Nodulisporium sp. were active against a number of pathogens causing death to both Aspergillus fumigatus and Rhizoctonia solani and severe growth inhibition produced in Phytophthora cinnamomi and Sclerotinia sclerotiorum within 48 hr of exposure. The Carbotrapped materials somewhat mimicked the bioactivities of the culture itself when certain test organisms were exposed to these VOCs. A brief discussion on the relationship of these fungal VOCs to those compounds found in transportation fuels is presented.

The collaboratory for MS3D: a new cyberinfrastructure for the structural elucidation of biological macromolecules and their assemblies using mass spectrometry-based approaches.

Modern biomedical research is evolving with the rapid growth of diverse data types, biophysical characterization methods, computational tools and extensive collaboration among researchers spanning various communities and having complementary backgrounds and expertise. Collaborating researchers are increasingly dependent on shared data and tools made available by other investigators with common interests, thus forming communities that transcend the traditional boundaries of the single research laboratory or institution. Barriers, however, remain to the formation of these virtual communities, usually due to the steep learning curve associated with becoming familiar with new tools, or with the difficulties associated with transferring data between tools. Recognizing the need for shared reference data and analysis tools, we are developing an integrated knowledge environment that supports productive interactions among researchers. Here we report on our current collaborative environment, which focuses on bringing together structural biologists working in the area of mass spectrometric based methods for the analysis of tertiary and quaternary macromolecular structures (MS3D) called the Collaboratory for MS3D (C-MS3D). C-MS3D is a Web-portal designed to provide collaborators with a shared work environment that integrates data storage and management with data analysis tools. Files are stored and archived along with pertinent meta data in such a way as to allow file handling to be tracked (data provenance) and data files to be searched using keywords and modification dates. While at this time the portal is designed around a specific application, the shared work environment is a general approach to building collaborative work groups. The goal of this is to not only provide a common data sharing and archiving system, but also to assist in the building of new collaborations and to spur the development of new tools and technologies.

Toward Building a Database of Bifunctional Probes for the MS3D Investigation of Nucleic Acids Structures

This report illustrates the approaches employed to investigate critical aspects of the activity of crosslinking reagents toward nucleic acid substrates, which should be evaluated to identify candidate probes for mass spectrometric 3D (MS3D) investigations of biomolecules and macromolecular complexes. Representative members of different classes of bifunctional reagents were taken into consideration, including bikethoxal and phenyl-diglyoxal [bis-(1,2-dicarbonyls)], cisplatin (coordinative binding agents), chlorambucil and nitrogen mustard [bis-(2-chloroethyl)amines], and sym-triazine trichloride (triazines). Nanospray-Fourier transform mass spectrometry (FTMS) was applied without desalting or separation procedures to characterize the covalent products obtained by probing dinucleotide and trinucleotide substrates under a variety of experimental conditions in vitro. The carefully controlled composition of these substrates enabled us to obtain valid comparisons of probe activity toward individual nucleotides and evaluate possible base-specific effects, including the stability of the different adducts in solution under the selected reaction conditions. The gas-phase behavior of the observed products was investigated using sustained off-resonance irradiation collision-induced dissociation (SORI-CID) to obtain valuable information for guiding the design of sequencing experiments and helping the data interpretation. Structured RNA substrates, such as HIV-1 stemloop 1, were finally employed to investigate the structural determinant of adduct formation and highlight the different nature of the spatial information provided by the various candidate probes.

Sequence Variation in the Ribosomal DNA Internal Transcribed Spacer of Tridacna crocea

Abstract: DNA-based genetic markers are needed to augment existing allozyme markers in the assessment of genetic diversity of wild giant clam populations. The dearth of polymorphic mitochondrial DNA regions amplified from known universal polymerase chain reaction (PCR) primers has led us to search other regions of the genome for viable sources of DNA polymorphism. We have designed tridacnid-specific PCR primers for the amplification of internal transcribed spacer regions. Sequences of the first internal transcribed spacer segment (ITS-1) revealed very high polymorphism, showing 29% variation arising from base substitutions alone. Preliminary restriction analysis of the ITS regions using 8 restriction enzymes revealed cryptic changes in the DNA sequence. These mutations are promising as marker tools for differentiating geographically separated populations. Such variation in the ITS region can possibly be used for population genetic analysis.

Bioinformatic processing to identify single nucleotide polymorphism that potentially affect Ape1 function

Inactivation of DNA damage response mechanisms is associated with several disease syndromes, including cancer, aging and neurodegeneration. A major corrective pathway for alkylation or oxidative DNA damage is base excision repair (BER). As part of an effort to identify variation in DNA repair genes, we used the expressed sequence tag (EST) database to identify amino acid variation in Ape1, an essential gene in the BER repair pathway. Nucleotide substitutions were considered valid only if the amino acid changes were observed in at least two independent EST sequencing runs (i.e. two independent EST reports). In total eighty amino acid variants were identified for the Ape1 gene. Using software tools SIFT and PolyPhen, which predict impacts of amino acid substitutions on protein structure and function, twenty-six variants were predicted by both algorithms to be deleterious to protein function. Majority of these intolerant mutations such as V206C and F240S, lie within the core of the protein and may affect the stability and folding of Ape1, or in the case of N212H, N212K, and Y171N, are close to the enzymes active site and could drastically affect its function. A few of the intolerant mutations, i.e., G178V and E217R, are surface residues and are far from the active site, and as such, the predicted effect on Ape1 stability or function is not evident. These variants are reagents for further protein function studies and molecular epidemiology studies of cancer susceptibility.

Tailoring next-generation biofuels and their combustion in next-generation engines.

Increasing energy costs, the dependence on foreign oil supplies, and environmental concerns have emphasized the need to produce sustainable renewable fuels and chemicals. The strategy for producing next-generation biofuels must include efficient processes for biomass conversion to liquid fuels and the fuels must be compatible with current and future engines. Unfortunately, biofuel development generally takes place without any consideration of combustion characteristics, and combustion scientists typically measure biofuels properties without any feedback to the production design. We seek to optimize the fuel/engine system by bringing combustion performance, specifically for advanced next-generation engines, into the development of novel biosynthetic fuel pathways. Here we report an innovative coupling of combustion chemistry, from fundamentals to engine measurements, to the optimization of fuel production using metabolic engineering. We have established the necessary connections among the fundamental chemistry, engine science, and synthetic biology for fuel production, building a powerful framework for co-development of engines and biofuels.

Changes in the Structure of the Microbial Community Associated with Nannochloropsis salina following Treatments with Antibiotics and Bioactive Compounds

Open microalgae cultures host a myriad of bacteria, creating a complex system of interacting species that influence algal growth and health. Many algal microbiota studies have been conducted to determine the relative importance of bacterial taxa to algal culture health and physiological states, but these studies have not characterized the interspecies relationships in the microbial communities. We subjected Nanochroloropsis salina cultures to multiple chemical treatments (antibiotics and quorum sensing compounds) and obtained dense time-series data on changes to the microbial community using 16S gene amplicon metagenomic sequencing (21,029,577 reads for 23 samples) to measure microbial taxa-taxa abundance correlations. Short-term treatment with antibiotics resulted in substantially larger shifts in the microbiota structure compared to changes observed following treatment with signaling compounds and glucose. We also calculated operational taxonomic unit (OTU) associations and generated OTU correlation networks to provide an overview of possible bacterial OTU interactions. This analysis identified five major cohesive modules of microbiota with similar co-abundance profiles across different chemical treatments. The Eigengenes of OTU modules were examined for correlation with different external treatment factors. This correlation-based analysis revealed that culture age (time) and treatment types have primary effects on forming network modules and shaping the community structure. Additional network analysis detected Alteromonadeles and Alphaproteobacteria as having the highest centrality, suggesting these species are “keystone” OTUs in the microbial community. Furthermore, we illustrated that the chemical tropodithietic acid, which is secreted by several species in the Alphaproteobacteria taxon, is able to drastically change the structure of the microbiota within 3 h. Taken together, these results provide valuable insights into the structure of the microbiota associated with N. salina cultures and how these structures change in response to chemical perturbations.