A Unifying Scenario on the Origin and Evolution of Cellular and Viral Domains

The cellular theory on the nature of life has been one of the first major advancements in biology. Viruses, however, are the most abundant life forms, and their exclusion from mainstream biology and the Tree of Life (TOL) is a major paradox in biology. This article presents a broad, unifying scenario on the origin and evolution of cellular and viral domains that challenges the conventional views about the history of life and supports a TOL that includes viruses. Co-evolution of viruses and their host cells has led to some of the most remarkable developments and transitions in the evolution of life, including the origin of non-coding DNA as a genomic protective device against viral insertion damage. However, one of the major fundamental evolutionary developments driven by viruses was probably the origin of cellular domains - Bacteria, Archaea and Eukarya - from the Last Universal Common Ancestor (LUCA) lineage, by evolving anti-fusion mechanisms. Consistent with a novel fusion/fission model for the population mode of evolution of LUCA, this paper presents a “cell-like world” model for the origin of life. According to this model the evolution of coupled replication, transcription and translation system (RT&T) occurred within non-living cell-like compartments (CCs). In this model, the ancestral ribosome originated as template-based RNA synthesizing machinery. The origin of the cellular genome as a centralized unit for storage and replication of genetic information within the CCs facilitated the evolution of the ancestral ribosome into a powerful translation machinery - the modern ribosome. After several hundred millions of years of providing an enclosed environment and fusion/fission based exchanges necessary for the population mode of evolution of the basic metabolism and the RT&T, the CCs evolved into the first living entities on earth - the LUCA lineage. The paper concludes with a proposal for a TOL that integrates the co-evolution of cellular and viral domains. This is one of a series of three articles that present a unifying scenario on the origin and evolution of viral and cellular domains, including the origin of life, which has significant t bio-medical implications and could lead to a significant paradigm shift in biology

Minimal model of self-replicating nanocells: a physically embodied information-free scenario

The building of minimal self-reproducing systems with a physical embodiment (generically called protocells) is a great challenge, with implications for both theory and applied sciences. Although the classical view of a living protocell assumes that it includes information-carrying molecules as an essential ingredient, a dividing cell-like structure can be built from a metabolism-container coupled system, only. An example of such a system, modeled with dissipative particle dynamics, is presented here. This article demonstrates how a simple coupling between a precursor molecule and surfactant molecules forming micelles can experience a growth-division cycle in a predictable manner, and analyzes the influence of crucial parameters on this replication cycle. Implications of these results for origins of cellular life and living technology are outlined.Comment: 9 pages, 10 figure

Toward a Self-replicating Metabolic P System

This work concerns the synthesis of a "minimal cell' by means of a P system, which is a distributed rewriting system inspired by the structure and the functioning of the biological cell. Specifically, we aim to define a dynamical system which exhibits a steady metabolic evolution, resulting in self-maintenance and self-reproduction. Metabolic P systems represent a class of P systems particularly promising to model a minimal cell in discrete terms, since they have already successfully modeled several metabolisms. The main further step is thus to find a simple way to obtain Metabolic P system self-replication. This paper deals with ideas presented at the BWMC11 (held in Seville, Feb 2011) and opens a new trend in membrane computing, based on computational synthetic biology oriented applications of P systems modeling. The framework is here outlined, and some problems to tackle the synthesis of a minimal cell are discussed. Moreover, an overview of literature and a list of appealing research directions is given, along with several references

The origins and physical roots of life’s dual – metabolic and genetic – nature

This review paper aims at a better understanding of the origin and physical foundation of life’s dual – metabolic and genetic – nature. First, I give a concise ‘top-down’ survey of the origin of life, i.e., backwards in time from extant DNA/RNA/protein-based life over the RNA world to the earliest, pre-RNA stages of life’s origin, with special emphasis on the metabolism-first versus gene/replicator-first controversy. Secondly, I critically assess the role of minerals in the earliest origins of bothmetabolism and genetics. And thirdly, relying on the work of Erwin Schrödinger, Carl Woese and Stuart Kauffman, I sketch and reframe the origin of metabolism and genetics from a physics, i.e., thermodynamics, perspective. I conclude that life’s dual nature runs all the way back to the very dawn and physical constitution of life on Earth. Relying on the current state of research, I argue that life’s origin stems from the congregation of two kinds of sources of negentropy – thermodynamic and statistical negentropy. While thermodynamic negentropy (which could have been provided by solar radiation and/or geochemical and thermochemical sources), led to life’s combustive and/or metabolic aspect, the abundant presence of mineral surfaces on the prebiotic Earth – with their selectively adsorbing and catalysing (thus ‘organizing’) micro-crystalline structure or order – arguably provided for statistical negentropy for life to originate, eventually leading to life’s crystalline and/or genetic aspect. However, the transition from a prebiotic world of relatively simple chemical compounds including periodically structured mineral surfaces towards the complex aperiodic and/or informational structure, specificity and organization of biopolymers and biochemical reaction sequences remains a ‘hard problem’ to solve