Challenges and innovations on biological treatment of livestock effluents

Intensification of animal production led to high amounts of manure to be managed. Biological processes can contribute to a sustainable manure management. This paper presents the biological treatments available for the treatment of animal manure, mainly focusing on swine manure, including aerobic processes (nitrification, denitrification, enhanced biological phosphorus removal) and anaerobic digestion. These processes are discussed in terms of pollution removal, ammonia and greenhouse gas emissions (methane and nitrous oxide) and pathogen removal. Application of emerging processes such as partial nitrification and anaerobic ammonium oxidation (anammox) applied to animal manure is also considered. Finally, perspectives and future challenges for the research concerning biological treatments are highlighted in this paper.     

Fluorescence complementation: an emerging tool for biological research

Numerous technologies based on utilizing fluorescent proteins have been developed for biological research, and fluorescence complementation (FC) is a recent application for visualization of molecular events in living cells and organisms. Currently, ten fluorescent proteins have been demonstrated to support FC. Over the past five years, FC-based technologies have been developed to visualize a variety of molecular events, such as protein-protein interactions, post-translational modifications, protein folding, conformational changes, RNA-protein interactions, mRNA localization and DNA hybridization. In addition, FC has also been used for drug discovery. These applications are providing fascinating insights into many biological processes. Here, we review the principles and applications of FC technologies, discuss their current challenges and examine prospects for future advances.     

Phyllosphere microbiota: Community dynamics and its interaction with plant hosts

Plants are colonized by various microorganisms in natural environments. While many studies have demonstrated key roles of the rhizosphere microbiota in regulating biological processes such as nutrient acquisition and resistance against abiotic and biotic challenges, less is known about the role of the phyllosphere microbiota and how it is established and maintained. This review provides an update on current understanding of phyllosphere community assembly and the mechanisms by which plants and microbes establish the phyllosphere microbiota for plant health.     

Rapid prototyping of microbial production strains for the biomanufacture of potential materials monomers

Bio-based production of industrial chemicals using synthetic biology can provide alternative green routes from renewable resources, allowing for cleaner production processes. To efficiently produce chemicals on-demand through microbial strain engineering, biomanufacturing foundries have developed automated pipelines that are largely compound agnostic in their time to delivery. Here we benchmark the capabilities of a biomanufacturing pipeline to enable rapid prototyping of microbial cell factories for the production of chemically diverse industrially relevant material building blocks. Over 85 days the pipeline was able to produce 17 potential material monomers and key intermediates by combining 160 genetic parts into 115 unique biosynthetic pathways. To explore the scale-up potential of our prototype production strains, we optimized the enantioselective production of mandelic acid and hydroxymandelic acid, achieving gram-scale production in fed-batch fermenters. The high success rate in the rapid design and prototyping of microbially-produced material building blocks reveals the potential role of biofoundries in leading the transition to sustainable materials production.     

Monolith enzymatic microreactor at the frontier of glycomic toward a new route for the production of bioactive oligosaccharides

Recent research in the area of bioactive carbohydrates has shown the efficiency of oligosaccharides as signal molecules in a lot of biological activities. Newly observed functions of oligosaccharides and their abilities to act as specific regulatory molecules on various organisms have been more and more described. A successful development of these bioactive molecules in future needs efficient processes for specific oligosaccharides production. To exploit them for putative industrial scale up processes, two main strategies are currently investigated: the synthesis (chemical or bioconversion processes) and the polysaccharide cleavage (chemical, physical or biological processes). Nevertheless, if new manufacturing biotechnologies have considerably increased the development of these functional molecules, the main drawback limiting their biological applications is the complexity to engender specific glycosidic structures for specific activities. In the recent years, new enzymatic reactors have been developed, allowing the automatic synthesis of oligosaccharide structures. This review focuses on the knowledge in the area of bioactive oligosaccharides and gives the main processes employed to generate them for industrial applications with challenges of monolith microreactors.     

Optogenetic control of cell function using engineered photoreceptors

Over the past decades, there has been growing recognition that light can provide a powerful stimulus for biological interrogation. Light‐actuated tools allow manipulation of molecular events with ultra‐fine spatial and fast temporal resolution, as light can be rapidly delivered and focused with sub‐micrometre precision within cells. While light‐actuated chemicals such as photolabile ‘caged’ compounds have been in existence for decades, the use of genetically encoded natural photoreceptors for optical control of biological processes has recently emerged as a powerful new approach with several advantages over traditional methods. Here, we review recent advances using light to control basic cellular functions and discuss the engineering challenges that lie ahead for improving and expanding the ever‐growing optogenetic toolkit.     

Protein assembly and crowding simulations

Proteins encounter frequent molecular interactions in biological environments. Computer simulations have become an increasingly important tool in providing mechanistic insights into how such interactions in vivo relate to their biological function. The review here focuses on simulations describing protein assembly and molecular crowding effects as two important aspects that are distinguished mainly by how specific and long-lived protein contacts are. On the topic of crowding, recent simulations have provided new insights into how crowding affects protein folding and stability, modulates enzyme activity, and affects diffusive properties. Recent studies of assembly processes focus on assembly pathways, especially for virus capsids, amyloid aggregation pathways, and the role of multivalent interactions leading to phase separation. Also, discussed are technical challenges in achieving increasingly realistic simulations of interactions in cellular environments.     

Multi-OMICS: a critical technical perspective on integrative lipidomics approaches

During the past decades, high-throughput approaches for analyzing different molecular classes such as nucleic acids, proteins, metabolites, and lipids have grown rapidly. These approaches became powerful tools for getting a fundamental understanding of biological systems. Considering each approach and its results separately, relations and causal connections between these classes have no chance to be revealed, since only separate molecular snapshots are provided. Only a combined approach, not fully established yet, with the integration of the corresponding data, might yield a comprehensive and complete understanding of biological processes, such as crosstalk and interactions in signaling pathways. Taking two or more omics-methods into consideration for analysis is referred to as a multi-omics approach, which is gradually evolving. In this critical note, we briefly discuss the relevance, challenges, current state, and potential of data integration from multi-omics approaches, with a special focus on lipidomics analysis, listing the advantages and gaps in this field. This article is part of a Special Issue entitled: BBALIP_Lipidomics Opinion Articles edited by Sepp Kohlwein.     

Biosimilars--global issues, national solutions

Biotechnology derived medicinal products are presently the best characterized biologicals with considerable production and clinical experience, and have revolutionized the treatment of some of the most difficult-to-treat diseases, prolonging and improving the quality of life and patient care. They are also currently one of the fastest growing segments of the pharmaceutical industry market. The critical challenge that the biopharmaceutical industry is facing is the expiry of patents for the first generation of biopharmaceuticals, mainly recombinant DNA derived products, such as interferons, growth hormone and erythropoetin. The question that immediately arose was how should such copies of the originator products be licensed, bearing in mind that they are highly complex biological molecules produced by equally complex biological production processes with their inherent problem of biological variability. Copying biologicals is much more complex than copying small molecules and the critical issue was how to handle the licensing of products if relying in part on data from an innovator product. Since 2004 there has been considerable international consultation on how to deal with biosimilars and biological copy products. This has led to a better understanding of the challenges in the regulatory evaluation of the quality, safety and efficacy of "biosimilars", to the exchange of information between regulators, as well as to the identification of key issues. The aim of this article is to provide a brief overview of the scientific and regulatory challenges faced in developing and evaluating similar biotherapeutic products for global use. It is intended as an introduction to the series of articles in this special issue of Biologicals devoted to similar biotherapeutic products.     

Characterisation of bacterial polysaccharides: steps towards single-molecular studies

Techniques used in studies of polysaccharides, including chemical composition, linkage pattern, and higher order structures are in constant development. They provide information necessary for understanding of the polysaccharide properties and functions. Here, recent advancements in studies of the polysaccharides at the single-molecule level are highlighted. Over the last few years, single-molecule techniques such as force spectroscopy have improved in sensitivity and can today be used to detect forces in the pN range. In addition, these techniques can be used to investigate properties of single molecules close to physiological conditions. The challenges in the interpretation of the observations are aided by control experiments using well-characterised polysaccharides and by data provided by complementary methods. This field is expected to have increasing impact on the further advancement of the molecular understanding of the role of polysaccharides in various biological processes such as recognition and cell adhesion.     

Chemical biology approaches in plant stress research

In addition to their importance as essential agrochemicals and life-saving drugs, small molecules serve as powerful research tools to address questions at all levels of biological complexity from protein function to plant biotic interactions. In certain contexts, chemical tools are complementary or even preferred to genetic analysis, since not all experimental systems are amenable for genetic dissection. For example, mutants impaired in oxygen sensing cannot easily be recovered. Pharmacological and chemical genetics approaches have come to the rescue of biologists in unraveling such genetically intractable systems. In this review, I have discussed my own efforts to analyze oxygen deprivation signaling in plants to illustrate the validity of small molecular approaches in elucidating an essential pathway such as oxygen sensing. Chemical biology is also a potent approach to tease out genetically redundant biological processes. The recent breakthrough in identifying the elusive abscisic acid receptors has clearly demonstrated the power of chemical tools in dissecting redundant pathways and led to the blossoming of this area as a distinct discipline of plant biology research. I present a summary of this work and conclude the review with potential challenges in using chemical tools.     

生物大分子“液–液相分离”调控染色质三维空间结构和功能

生物大分子的相分离聚集(简称相分离)是驱动细胞内无膜细胞器形成的主要机制,参与众多生物学过程并和多种人类疾病密切相关,如神经退行性疾病等。近年来,研究人员围绕相分离现象的分子机制和生物学功能,发现了相分离与信号传导、染色质结构、基因表达、转录调控等一系列生物学过程存在紧密关联,为理解细胞命运决定和疾病发生提供了新的视角,为疾病治疗和新药研发开辟了新的可能途径。本文在回顾了相分离研究的发展过程、相分离现象在生物学中的应用,以及相分离与疾病的关系的基础上,重点分析了近年来相分离与染色质结构关联方面的研究突破,包括相分离如何感知并重塑染色质结构、超级增强子如何通过相分离调节基因表达、共转录激活因子如何通过相分离参与基因表达调控等,以期为进一步理解相分离与染色质空间结构的关系提供参考。     

Metals in biology: defining metalloproteomes

The vital nature of metal uptake and balance in biology is evident in the highly evolved strategies to facilitate metal homeostasis in all three domains of life. Several decades of study on metals and metalloproteins have revealed numerous essential bio-metal functions. Recent advances in mass spectrometry, X-ray scattering/absorption, and proteomics have exposed a much broader usage of metals in biology than expected. Even elements such as uranium, arsenic, and lead are implicated in biological processes as part of an emerging and expansive view of bio-metals. Here we discuss opportunities and challenges for established and newer approaches to study metalloproteins with a focus on technologies that promise to rapidly expand our knowledge of metalloproteins and metal functions in biology.     

Systems biology strategy to study lipotoxicity and the metabolic syndrome

Systems biology views and studies the biological systems in the context of complex interactions between their building blocks and processes. Given its multi-level complexity, metabolic syndrome (MetS) makes a strong case for adopting the systems biology approach. Despite many MetS traits being highly heritable, it is becoming evident that the genetic contribution to these traits is mediated via gene–gene and gene–environment interactions across several spatial and temporal scales, and that some of these traits such as lipotoxicity may even be a product of long-term dynamic changes of the underlying genetic and molecular networks. This presents several conceptual as well as methodological challenges and may demand a paradigm shift in how we study the undeniably strong genetic component of complex diseases such as MetS. The argument is made here that for adopting systems biology approaches to MetS an integrative framework is needed which glues the biological processes of MetS with specific physiological mechanisms and principles and that lipotoxicity is one such framework. The metabolic phenotypes, molecular and genetic networks can be modeled within the context of such integrative framework and the underlying physiology.     

Challenges and solutions in proteomics

The accelerated growth of proteomics data presents both opportunities and challenges. Large-scale proteomic profiling of biological samples such as cells, organelles or biological fluids has led to discovery of numerous key and novel proteins involved in many biological/disease processes including cancers, as well as to the identification of novel disease biomarkers and potential therapeutic targets. While proteomic data analysis has been greatly assisted by the many bioinformatics tools developed in recent years, a careful analysis of the major steps and flow of data in a typical highthroughput analysis reveals a few gaps that still need to be filled to fully realize the value of the data. To facilitate functional and pathway discovery for large-scale proteomic data, we have developed an integrated proteomic expression analysis system, iProXpress, which facilitates protein identification using a comprehensive sequence library and functional interpretation using integrated data. With its modular design, iProXpress complements and can be integrated with other software in a proteomic data analysis pipeline. This novel approach to complex biological questions involves the interrogation of multiple data sources, thereby facilitating hypothesis generation and knowledge discovery from the genomic-scale studies and fostering disease diagnosis and drug development.     

Discrete Logic Modelling Optimization to Contextualize Prior Knowledge Networks Using PRUNET

High-throughput technologies have led to the generation of an increasing amount of data in different areas of biology. Datasets capturing the cell’s response to its intra- and extra-cellular microenvironment allows such data to be incorporated as signed and directed graphs or influence networks. These prior knowledge networks (PKNs) represent our current knowledge of the causality of cellular signal transduction. New signalling data is often examined and interpreted in conjunction with PKNs. However, different biological contexts, such as cell type or disease states, may have distinct variants of signalling pathways, resulting in the misinterpretation of new data. The identification of inconsistencies between measured data and signalling topologies, as well as the training of PKNs using context specific datasets (PKN contextualization), are necessary conditions to construct reliable, predictive models, which are current challenges in the systems biology of cell signalling. Here we present PRUNET, a user-friendly software tool designed to address the contextualization of a PKNs to specific experimental conditions. As the input, the algorithm takes a PKN and the expression profile of two given stable steady states or cellular phenotypes. The PKN is iteratively pruned using an evolutionary algorithm to perform an optimization process. This optimization rests in a match between predicted attractors in a discrete logic model (Boolean) and a Booleanized representation of the phenotypes, within a population of alternative subnetworks that evolves iteratively. We validated the algorithm applying PRUNET to four biological examples and using the resulting contextualized networks to predict missing expression values and to simulate well-characterized perturbations. PRUNET constitutes a tool for the automatic curation of a PKN to make it suitable for describing biological processes under particular experimental conditions. The general applicability of the implemented algorithm makes PRUNET suitable for a variety of biological processes, for instance cellular reprogramming or transitions between healthy and disease states.     

Transient DNA / RNA-protein interactions

The great pace of biomolecular structure determination has provided a plethora of protein structures, but not as many structures of nucleic acids or of their complexes with proteins. The recognition of DNA and RNA molecules by proteins may produce large and relatively stable assemblies (such as the ribosome) or transient complexes (such as DNA clamps sliding through the DNA). These transient interactions are most difficult to characterize, but even in 'stable' complexes captured in crystal structures, the dynamics of the whole or part of the assembly pose great technical difficulties in understanding their function. The development and refinement of powerful experimental and computational tools have made it possible to learn a great deal about the relevance of these fleeting events for numerous biological processes. We discuss here the most recent findings and the challenges that lie ahead in the quest for a better understanding of protein-nucleic acid interactions.