Integrative high-throughput study of arsenic hyper-accumulation in Pteris vittata

Arsenic is a natural contaminant in the soil and ground water, which raises considerable concerns in food safety and human health worldwide. The fernPteris vittata (Chinese brake fern) is the first identified arsenic hyperaccumulator[1]. It and its close relatives have un-paralleled ability to tolerant arsenic and feature unique arsenic metabolisms. The focus of the research presented in this thesis is to elucidate the fundamentals of arsenic tolerance and hyper-accumulation in Pteris vittata through high throughput technology and bioinformatics tools. The transcriptome of the P. vittatagametophyte under arsenate stress was obtained using RNA-Seq technology and Trinity de novo assembly. Functional annotation of the transcriptome was performed in terms of blast search, Gene Ontology term assignment, Eukaryotic Orthologous Groups (KOG) classification, and pathway analysis. Differentially expressed genes induced by arsenic stress were identified, which revealed several key players in arsenic hyper-accumulation. As part of the efforts to annotate differentially expressed genes, literature of plant arsenic tolerance was collected and built into a searchable database using the Textpresso text-mining tool, which greatly facilitates the retrieval of biological facts involving arsenic related gene. In addition, an SVM-based named-entity recognition system was constructed to identify new references to genes in literature. The results provide excellent sequence resources for arsenic tolerance study in P.vittata, and establish a platform for integrative study using data of multiple types

Minimalistic Peptide-Based Supramolecular Systems Relevant to the Chemical Origin of Life

All forms of life are based on biopolymers, which are made up of a selection of simple building blocks, such as amino acids, nucleotides, fatty acids and sugars. Their individual properties govern their interactions, giving rise to complex supramolecular structures with highly specialized functionality, including ligand recognition, catalysis and compartmentalization. In this thesis, we aim to answer the question whether short peptides could have acted as precursors of modern proteins during prebiotic evolution. Using a combination of experimental and computational techniques, we screened a large molecular search space for peptide sequences that are capable of forming supramolecular complexes with adenosine triphosphate (ATP), life’s ubiquitous energy currency, and uridine triphosphate (UTP). Our results demonstrate that peptides as short as heptamers can form dynamic supramolecular complexes, adapt their structure to a ligand upon binding, undergo phase-separation into spatially confined compartments and catalyze nucleotide-hydrolysis

Understanding the Structure-Function Relationship in Peptide-Enabled High Entropy Alloy Nanocatalysts

The structural complexity in high entropy alloy nanocatalysts (HEAs), afforded by the homogeneous mixing of five or more elements, has resulted in a limited understanding about the origin of their promising electrocatalytic properties. This thesis investigates the structure-function relationship in HEAs using advanced material characterization techniques. At first, a methodology for resolving the atomic-scale structure of peptide-enabled HEAs was developed using high-energy X-ray diffraction (HE-XRD) coupled with atomic pair distribution function (PDF) and reverse Monte Carlo (RMC) simulations, yielding structure models over the length scale of HEAs. Coordination analysis of the structure models revealed a multifunctional interplay of geometric and electronic attributes of surface atoms in HEAs that was responsible for the catalytic activity enhancement during the methanol electrooxidation reaction. Using the methodology for resolving the atomic scale structure of HEAs and peptide sequence engineering, the structure-function relationship of model PtPdAuCoSn HEAs during ethanol electrooxidation reaction (EOR) was studied. Compositional analysis of the PtPdAuCoSn HEA structure models revealed distinct miscibility characteristics that were attributed to the unique biotic-abiotic interactions. Analysis of the structure models identified the rapid dehydrogenation of CH3CHO intermediate into CH3COads in an optimized adsorption configuration as the contributing factor for the high selectivity towards CH3COO- in PtPdAuCoSn HEAs. Armed with these insights, a study was designed for understanding the effect of changing the concentration of Pt in the structure-function relationship of PtPdAuCoSn HEAs using spatiotemporal structural insights from in-situ PDF. The structure models demonstrated a degree of metastability as a function of their corresponding configurational entropy. Analysis of the structure models revealed that high selectivity towards CH3COO- in PtPdAuCoSn HEAs during EOR originates from the enhanced distribution of Pd and Co surface atoms. In summary, this thesis uses atomic PDF and RMC simulations to draw structure-function correlations in HEAs, presenting a path forward for developing strategies for the rational design of HEAs. Through collaborative efforts from theoreticians and experimentalists, the methodology presented here can form the basis for accelerating the discovery of promising HEA configurations for emerging electrocatalytic applications

Bioinorganic Chemistry

This book covers material that could be included in a one-quarter or one-semester course in bioinorganic chemistry for graduate students and advanced undergraduate students in chemistry or biochemistry. We believe that such a course should provide students with the background required to follow the research literature in the field. The topics were chosen to represent those areas of bioinorganic chemistry that are mature enough for textbook presentation. Although each chapter presents material at a more advanced level than that of bioinorganic textbooks published previously, the chapters are not specialized review articles. What we have attempted to do in each chapter is to teach the underlying principles of bioinorganic chemistry as well as outlining the state of knowledge in selected areas. We have chosen not to include abbreviated summaries of the inorganic chemistry, biochemistry, and spectroscopy that students may need as background in order to master the material presented. We instead assume that the instructor using this book will assign reading from relevant sources that is appropriate to the background of the students taking the course. For the convenience of the instructors, students, and other readers of this book, we have included an appendix that lists references to reviews of the research literature that we have found to be particularly useful in our courses on bioinorganic chemistry

Comprehensive Overview of Bottom-up Proteomics using Mass Spectrometry

Proteomics is the large scale study of protein structure and function from biological systems through protein identification and quantification. "Shotgun proteomics" or "bottom-up proteomics" is the prevailing strategy, in which proteins are hydrolyzed into peptides that are analyzed by mass spectrometry. Proteomics studies can be applied to diverse studies ranging from simple protein identification to studies of proteoforms, protein-protein interactions, protein structural alterations, absolute and relative protein quantification, post-translational modifications, and protein stability. To enable this range of different experiments, there are diverse strategies for proteome analysis. The nuances of how proteomic workflows differ may be challenging to understand for new practitioners. Here, we provide a comprehensive overview of different proteomics methods to aid the novice and experienced researcher. We cover from biochemistry basics and protein extraction to biological interpretation and orthogonal validation. We expect this work to serve as a basic resource for new practitioners in the field of shotgun or bottom-up proteomics

Functional Characterization of Microbial Symbiotic Associations by Metaproteomics

Rarely are microbes found in isolation in the environment, but rather form symbiotic associations with other microbes or eukaryotic hosts. The advent of the systems biology era has allowed global characterization of these symbiotic associations at levels not previously possible. However, while metagenomic studies have revealed microbial membership and potential genomic information among members taking part in the symbiosis, there is still a significant lag in the functional characterization within these symbiotic associations. Thus, in this dissertation, we utilized a metaproteomic approach to study microbial symbiotic associations. We have developed and applied this robust platform to investigate various symbiotic associations ranging in complexity. Beginning with perhaps one of the simplest symbiotic systems, we investigated the proteomic response of infection of S. thermophilus with bacteriophage 2972, to reveal insights into the anti-viral CRISPR/Cas response. Then, transitioning to a more complex but tractable symbiotic interaction, we evaluated co-occurring proteobacterial endosymbionts of the marine worm Olavius algarvensis and uncovered novel pathways for carbon and energy use, in addition to unraveling abundant transposase protein expression. Finally, we progressed to a complex microbial community and its commensalistic association with its human host in the infant gut microbiome. Simultaneous measurements of microbial and human proteins over a time course during early infant development revealed functional adaptation of the host in response to the changing microbiome, resulting in a dynamic interplay between the host and its resident microbes. In each of these symbiotic systems, we found that a proteomics/metaproteomics approach was very powerful for the characterization of the functional signatures of all members of the symbiotic interaction, and yielded biological insights into each system that would have been unattainable by any other platform