Opening the “Black Box”: The Genetic and Biochemical Basis of Eye Evolution

Eyes provide a rich narrative for understanding evolution, having attracted the attention of preeminent scientists and communicators alike. Until recently, this narrative has focused primarily on the evolution of eye structure and far less on biochemistry or genetics. Although eye biochemistry was once likened to an unknown “black box;” the flood of discoveries in biochemistry is now allowing an increasingly detailed understanding of the processes involved in vision. As a result, evolutionary comparative (“tree-thinking”) analyses that use these data currently allow a new and still unfolding narrative, both richer in detail and more comprehensive in scope. Rather than toppling evolutionary theory by finding irreducibly complex molecular machines, eye evolution provides detailed accounts of how natural processes tinker with existing genetic components, duplicating and recombining them, to yield complex, intricate, and highly functional eyes. Understanding the new biochemical narrative is critical for researchers and teachers alike, in order to answer anti-evolutionist claims, and to provide an up-to-date account of the state of knowledge on the subject of eye evolution.     

Structural and organisational conditions for being a machine

Although the analogy between macroscopic machines and biological molecular devices plays an important role in the conceptual framework of both neo-mechanistic accounts and nanotechnology, it has recently been claimed that certain complex molecular devices (consisting of biological or synthetic macromolecular aggregates) cannot be considered machines since they are subject to physicochemical forces that are different from those of macroscopic machines. However, the structural and physicochemical conditions that allow both macroscopic machines and microscopic devices to work and perform new functions, through a combination of elemental functional parts, have not yet been examined. In order to fill this void, this paper has a threefold aim: first, to clarify the structural and organisational conditions of macroscopic machines and microscopic devices; second, to determine whether the machine-like analogy fits nanoscale devices; and third, to assess whether the machine-like analogy is appropriate for describing the behaviour of some biological macromolecules. Finally, the paper gives an account of ‘machine’ which, while acknowledging the physicochemical and organisational differences between man-made machines and biological microscopic devices, nevertheless identifies a common conceptual core that allows us to consider the latter ‘machines’.     

Emerging roles of the chloroplast outer envelope membrane

The chloroplast is essential for the viability of plants. It is enclosed by a double-membrane envelope that originated from the outer and plasma membranes of a cyanobacterial endosymbiont. Chloroplast biogenesis depends on binary fission and import of nuclear-encoded proteins. Our understanding of the mechanisms and evolutionary origins of these processes has been greatly advanced by recent genetic and biochemical studies on envelope-localized multiprotein machines. Furthermore, the latest studies on outer envelope proteins have provided molecular insights into organelle movement and membrane lipid remodeling, activities that are vital for plant survival under diverse environmental conditions. Ongoing and future research on the chloroplast outer envelope should add to our knowledge of organelle biology and the evolution of eukaryotic cells.     

Organelle proteomics: looking at less to see more

The recent finding that the human genome comprises between 21 000 and 39 000 genes, a number much lower than expected, has in no way simplified the complexity associated with the understanding of how cells perform their functions. Elucidation of the molecular mechanisms underlying cell functions will require a global knowledge of the expressed proteins, including splice variant products, their post-translational modifications, their subcellular localizations and their assembly into molecular machines as deduced from protein–protein interactions, at any given time during the life of the cell or under any cellular conditions. Current and expected advances in mass spectrometry and bioinformatics might help the realization of these goals in a shorter time than is currently predicted.     

Molecular architecture of bacteriophage T4

In studying bacteriophage T4—one of the basic models of molecular biology for several decades—there has come a Renaissance, and this virus is now actively used as object of structural biology. The structures of six proteins of the phage particle have recently been determined at atomic resolution by X-ray crystallography. Three-dimensional reconstruction of the infection device—one of the most complex multiprotein components—has been developed on the basis of cryo-electron microscopy images. The further study of bacteriophage T4 structure will allow a better understanding of the regulation of protein folding, assembly of biological structures, and also mechanisms of functioning of the complex biological molecular machines.Translated from Biokhimiya, Vol. 69, No. 11, 2004, pp. 1463–1476.Original Russian Text Copyright © 2004 by Mesyanzhinov, Leiman, Kostyuchenko, Kurochkina, Miroshnikov, Sykilinda, Shneider.     

Chromosome segregation

The ability to visualise specific genes and proteins within bacterial cells is revolutionising knowledge of chromosome segregation. The essential elements appear to be the driving force behind DNA replication, which occurs at fixed cellular positions, the condensation of newly replicated DNA by a chromosome condensation machine located at the cell 1/4 and 3/4 positions, and molecular machines that act at midcell to allow chromosome separation after replication and movement of the sister chromosomes away from the division septum prior to cell division. This review attempts to provide a perspective on current views of the bacterial chromosome segregation mechanism and how it relates to other cellular processes.     

ATP-dependent proteases of bacteria: recognition logic and operating principles

ATP-powered AAA+ proteases degrade specific proteins in intracellular environments occupied by thousands of different proteins. These proteases operate as powerful molecular machines that unfold stable native proteins before degradation. Understanding how these enzymes choose the "right" protein substrates at the "right" time is key to understanding their biological function. Recently, proteomic approaches have identified numerous substrates for some bacterial enzymes and the sequence motifs responsible for recognition. Advances have also been made in elucidating the mechanism and impact of adaptor proteins in regulating substrate choice. Finally, recent biochemical dissection of the ATPase cycle and its coupling to protein unfolding has revealed fundamental operating principles of this important, ubiquitous family of molecular machines.     

Structural aspects of non-ribosomal peptide biosynthesis

Small peptides have powerful biological activities ranging from antibiotic to immune suppression. These peptides are synthesized by non-ribosomal peptide synthetases (NRPS). Structural understanding of NRPS took a huge leap forward in 2002; this information has led to several detailed biochemical studies and further structural studies. NRPS are complex molecular machines composed of multiple modules and each module contains several autonomously folded catalytic domains. Structural studies have largely focused on individual domains, isolated from the context of the multienzyme. Biochemical studies have looked at individual domains, isolated whole modules and intact NRPS, and the combined data begin to allow us to visualize the process of peptide assembly by NRPS.     

MoG: Molecular graphics software for the Commodore Amiga

As recently described by Garavelli, the Commodore Amiga 3000 computer is “nearly ideal” for desktop molecular modeling. The chief drawback to date, has been the lack of suitable software. This paper describes a new desktop molecular modeling package, MoG, which is suitable for both research and educational use. The speed of the Amiga 3000 means that MoG competes very favorably with software on IBM-PC machines, and its graphics capabilities allow excellent space-filling representations. The availability of cheap software-compatible home-computer versions of the Amiga places interactive molecular graphics within the reach of many senior high-school students, undergraduates and graduate students.     

Single molecule measurements and molecular motors

Single molecule imaging and manipulation are powerful tools in describing the operations of molecular machines like molecular motors. The single molecule measurements allow a dynamic behaviour of individual biomolecules to be measured. In this paper, we describe how we have developed single molecule measurements to understand the mechanism of molecular motors. The step movement of molecular motors associated with a single cycle of ATP hydrolysis has been identified. The single molecule measurements that have sensitivity to monitor thermal fluctuation have revealed that thermal Brownian motion is involved in the step movement of molecular motors. Several mechanisms have been suggested in different motors to bias random thermal motion to directional movement.     

70% efficiency of bistate molecular machines explained by information theory,high dimensional geometry and evolutionary convergence

The relationship between information and energy is key to understanding biological systems. We can display the information in DNA sequences specifically bound by proteins by using sequence logos, and we can measure the corresponding binding energy. These can be compared by noting that one of the forms of the second law of thermodynamics defines the minimum energy dissipation required to gain one bit of information. Under the isothermal conditions that molecular machines function this is joules per bit ( is Boltzmann''s constant and T is the absolute temperature). Then an efficiency of binding can be computed by dividing the information in a logo by the free energy of binding after it has been converted to bits. The isothermal efficiencies of not only genetic control systems, but also visual pigments are near 70%. From information and coding theory, the theoretical efficiency limit for bistate molecular machines is ln 2 = 0.6931. Evolutionary convergence to maximum efficiency is limited by the constraint that molecular states must be distinct from each other. The result indicates that natural molecular machines operate close to their information processing maximum (the channel capacity), and implies that nanotechnology can attain this goal.     

From quadruplex to helix and back: meta-stable states can move through a cycle of conformational changes

Strand displacement cycles can be driven by sequential addition of short oligonucleotide sequences. Successive inter- and intra-molecular interactions based on the rules of Watson-Crick base pairing allow us to design self-assembling molecular systems with predictable folding pathways and conformational changes. Here we present a particular strand displacement cycle that starts from a tethered quadruplex-forming sequence from the human telomere repeat (T₂AG₃)₄ that forms a G-quartet within a stem-loop structure. Adding an almost matching single strand converts the four-stranded section into a defective double helix. This is the first step of the cycle. The subsequent addition of a “fuel strand” removes the single strand from the loop sequence in favor of a perfect double helix. This displacement frees the hairpin-loop to go back to its initial state. Analysis of this cycle, that resembles an enzyme-substrate pathway as far as the initial state will be regained at the end of the cycle, advances our understanding of the interchanges between meta-stable states that underlie some fundamental steps in molecular biology, and allow for the construction of nano-molecular machines.     

Primitive Molecular Machine Scenario for the Origin of the Three Base Codon Composition

We set up a scenario for the operation of primordial synthesis machines operating in outer space quasi one dimensional channels, where polymers interact with fixed particles. The scheme allows for polymerization, translocation and translation. We will show that under very general conditions the particle/polymer interaction potential has spatial regularities with an average distance of three between neighboring minima. We present a model that exhibits how primitive molecular machines may convert the structural properties of the potential into locomotion regularities. On average, polymer movement takes place by shifts with long time intervals every three displacements. We argue that this feature is generic and lies at the origin of the three base codon composition.     

Cell type‐specific nuclear pores: a case in point for context‐dependent stoichiometry of molecular machines

To understand the structure and function of large molecular machines, accurate knowledge of their stoichiometry is essential. In this study, we developed an integrated targeted proteomics and super‐resolution microscopy approach to determine the absolute stoichiometry of the human nuclear pore complex (NPC), possibly the largest eukaryotic protein complex. We show that the human NPC has a previously unanticipated stoichiometry that varies across cancer cell types, tissues and in disease. Using large‐scale proteomics, we provide evidence that more than one third of the known, well‐defined nuclear protein complexes display a similar cell type‐specific variation of their subunit stoichiometry. Our data point to compositional rearrangement as a widespread mechanism for adapting the functions of molecular machines toward cell type‐specific constraints and context‐dependent needs, and highlight the need of deeper investigation of such structural variants.     

Understanding insect endocrine systems: molecular approaches

Molecular approaches have led to spectacular improvement of our knowledge of insect endocrinology. The present review focuses on two major classes of insect lipidic hormones, ecdysteroids and juvenile hormones. Although the ecdysteroid biosynthetic pathway is not yet fully elucidated, several new steps have been recently characterized, and molecular studies of biosynthetic enzymes are now beginning. It is expected that, thanks to suitable biological models (e.g., ecdysteroid-defective mutants of Drosophila), the entire biosynthetic pathway will be elucidated in the near future. The understanding of the ecdysteroid mode of action has benefited from studies with Drosophila and major developments relate to the cascades of gene activation and the molecular basis for the stage- and tissue-specificity of hormonal effects. The biosynthetic pathway of juvenile hormones is fully known, but molecular studies of enzymes are still in their infancy, and there is some controversy about the nature of juvenile hormone receptors. Within the forthcoming years, molecular tools will allow to characterize all the enzymes involved in hormone biosynthesis and then to analyze the fine regulation of hormone titers. They will also allow comparative studies aimed at investigating the presence of related molecules (hormone biosynthetic enzymes and receptors) among other Invertebrates (Arthropods and non-Arthropods), and thus to propose evolutionary scenarios for their endocrine systems.     

The cellular roles of molecular motors in fungi

Motors are molecular machines that move their cargo along F-actin or microtubules. Fungal representatives of myosin, kinesin and dynein motors support many cellular processes including polar growth, cell division and mitosis. Recent progress in understanding their cellular roles has revealed common principles. However, it has become obvious that fungi have also developed diverse strategies to cope with long-distance organelle transport.     

Abiotic and Biotic Stresses and Changes in the Lignin Content and Composition in Plants

Lignin is a polymer of phenylpropanoid compounds formed through a complex biosynthesis route, represented by a metabolic grid for which most of the genes involved have been sequenced in several plants, mainly in the model-plants Arabidopsis thaliana and Populus. Plants are exposed to different stresses, which may change lignin content and composition. In many cases, particularly for plant-microbe interactions, this has been suggested as defence responses of plants to the stress. Thus, understanding how a stressor modulates expression of the genes related with lignin biosynthesis may allow us to develop study-models to increase our knowledge on the metabolic control of lignin deposition in the cell wall. This review focuses on recent literature reporting on the main types of abiotic and biotic stresses that alter the biosynthesis of lignin in plants.     

The molecular basis of lung cancer: molecular abnormalities and therapeutic implications

Lung cancer is the number one cause of cancer-related death in the western world. Its incidence is highly correlated with cigarette smoking, and about 10% of long-term smokers will eventually be diagnosed with lung cancer, underscoring the need for strengthened anti-tobacco policies. Among the 10% of patients who develop lung cancer without a smoking history, the environmental or inherited causes of lung cancer are usually unclear. There is no validated screening method for lung cancer even in high-risk populations and the overall five-year survival has not changed significantly in the last 20 years. However, major progress has been made in the understanding of the disease and we are beginning to see this knowledge translated into the clinic. In this review, we will summarize the current state of knowledge regarding the cascade of events associated with lung cancer development. From subclinical DNA damage to overt invasive disease, the mechanisms leading to clinically and molecularly heterogeneous tumors are being unraveled. These lesions allow cells to escape the normal regulation of cell division, apoptosis and invasion. While all subtypes of non-small cell lung cancer have historically been treated the same, stage-for-stage, recent technological advances have allowed a better understanding of the molecular classification of the disease and provide hypotheses for molecular early detection and targeted therapeutic strategies.