Monte Carlo simulation of genome viability with paralog replacement

Recent analyses of genome content have revealed that many single functions, even in haploid organisms, can be executed by more than one gene. As a result, experimental disruption of many individual genes does not exert lethal effects on the organism or even any visible change in the phenotype of the organism with a knockedout gene. Our analysis shows that such genetic redundancy allows for an appreciably higher mutation load in the genome simulations before the viability of the whole organism is destroyed.     

Preferential Duplication of Intermodular Hub Genes: An Evolutionary Signature in Eukaryotes Genome Networks

Whole genome protein-protein association networks are not random and their topological properties stem from genome evolution mechanisms. In fact, more connected, but less clustered proteins are related to genes that, in general, present more paralogs as compared to other genes, indicating frequent previous gene duplication episodes. On the other hand, genes related to conserved biological functions present few or no paralogs and yield proteins that are highly connected and clustered. These general network characteristics must have an evolutionary explanation. Considering data from STRING database, we present here experimental evidence that, more than not being scale free, protein degree distributions of organisms present an increased probability for high degree nodes. Furthermore, based on this experimental evidence, we propose a simulation model for genome evolution, where genes in a network are either acquired de novo using a preferential attachment rule, or duplicated with a probability that linearly grows with gene degree and decreases with its clustering coefficient. For the first time a model yields results that simultaneously describe different topological distributions. Also, this model correctly predicts that, to produce protein-protein association networks with number of links and number of nodes in the observed range for Eukaryotes, it is necessary 90% of gene duplication and 10% of de novo gene acquisition. This scenario implies a universal mechanism for genome evolution.     

Robustness and evolvability in genetic regulatory networks

Living organisms are robust to a great variety of genetic changes. Gene regulation networks and metabolic pathways self-organize and reaccommodate to make the organism perform with stability and reliability under many point mutations, gene duplications and gene deletions. At the same time, living organisms are evolvable, which means that these kind of genetic perturbations can eventually make the organism acquire new functions and adapt to new environments. It is still an open problem to determine how robustness and evolvability blend together at the genetic level to produce stable organisms that yet can change and evolve. Here we address this problem by studying the robustness and evolvability of the attractor landscape of genetic regulatory network models under the process of gene duplication followed by divergence. We show that an intrinsic property of this kind of networks is that, after the divergence of the parent and duplicate genes, with a high probability the previous phenotypes, encoded in the attractor landscape of the network, are preserved and new ones might appear. The above is true in a variety of network topologies and even for the case of extreme divergence in which the duplicate gene bears almost no relation with its parent. Our results indicate that networks operating close to the so-called "critical regime" exhibit the maximum robustness and evolvability simultaneously.     

Genetic-evolutionary basis of symbiosis doctrine

The author presents the current notion of symbiosis as one of the main adaptation of an organism to changeable environment. Symbiosis is considered as a super organism genetic system within which there are different interactions (including mutualism and antagonism). Genetic integration of symbiotic partners can be realized as cross regulation of their genes, exchange of gene products (proteins, RNA), gene amplification and sometimes gene transfer between organisms. On the phenotypic level these processes result in signal interactions, integration of partner metabolic systems and development of symbiotic organs. Co-evolution is considered as an assemblage of micro- and macroevolution processes basing on pre-adaptations and proceeding under influence of different forms of natural selection (individual, frequency-depended and kin selection). Symbiosis can be compared with sexual process since both are the forms of organism integration characterized by different genetic mechanisms and evolutionary consequences. The genome evolution in symbiotic microorganisms can proceed by: 1) simplification of genome in obligate symbiosis (loss of genes that are necessary for independent existence, transfer of some genes to the host organism); 2) complication of genome in facultative symbiosis (increase in genome plasticity, structural and functional differentiation of genome into systems controlling free-living and symbiotic parts of life cycle). Most of symbiotic interactions are correlated to an increase in genetic plasticity of an organism that can lead to evolutionary saltations and origin of new forms of life.     

Functional genomic approaches using the nematode Caenorhabditis elegans as a model system

Since the completion of the genome project of the nematode C. elegans in 1998, functional genomic approaches have been applied to elucidate the gene and protein networks in this model organism. The recent completion of the whole genome of C. briggsae, a close sister species of C. elegans, now makes it possible to employ the comparative genomic approaches for identifying regulatory mechanisms that are conserved in these species and to make more precise annotation of the predicted genes. RNA interference (RNAi) screenings in C. elegans have been performed to screen the whole genome for the genes whose mutations give rise to specific phenotypes of interest. RNAi screens can also be used to identify genes that act genetically together with a gene of interest. Microarray experiments have been very useful in identifying genes that exhibit co-regulated expression profiles in given genetic or environmental conditions. Proteomic approaches also can be applied to the nematode, just as in other species whose genomes are known. With all these functional genomic tools, genetics will still remain an important tool for gene function studies in the post genome era. New breakthroughs in C. elegans biology, such as establishing a feasible gene knockout method, immortalized cell lines, or identifying viruses that can be used as vectors for introducing exogenous gene constructs into the worms, will augment the usage of this small organism for genome-wide biology.     

基于双碱基编辑系统的植物基因靶向随机突变技术

遗传性变异是表型多样性的基础,靶向饱和突变作物基因可以促进产生具有优异农艺性状的突变体。相较于传统诱变育种和异源物种中的定向进化方法,基于双碱基编辑系统的植物基因靶向随机突变技术可对植物内源基因产生高效突变,从而实现原位定向进化,加快植物育种及功能基因研究进程。该文介绍了使用饱和靶向内源基因突变编辑器(STEME)对植...     

Patterns of evolutionary conservation of essential genes correlate with their compensability

Essential genes code for fundamental cellular functions required for the viability of an organism. For this reason, essential genes are often highly conserved across organisms. However, this is not always the case: orthologues of genes that are essential in one organism are sometimes not essential in other organisms or are absent from their genomes. This suggests that, in the course of evolution, essential genes can be rendered nonessential. How can a gene become non-essential? Here we used genetic manipulation to deplete the products of 26 different essential genes in Escherichia coli. This depletion results in a lethal phenotype, which could often be rescued by the overexpression of a non-homologous, non-essential gene, most likely through replacement of the essential function. We also show that, in a smaller number of cases, the essential genes can be fully deleted from the genome, suggesting that complete functional replacement is possible. Finally, we show that essential genes whose function can be replaced in the laboratory are more likely to be non-essential or not present in other taxa. These results are consistent with the notion that patterns of evolutionary conservation of essential genes are influenced by their compensability—that is, by how easily they can be functionally replaced, for example through increased expression of other genes.     

Gene duplication,transfer, and evolution in the chloroplast genome

In addition to the nuclear genome, organisms have organelle genomes. Most of the DNA present in eukaryotic organisms is located in the cell nucleus. Chloroplasts have independent genomes which are inherited from the mother. Duplicated genes are common in the genomes of all organisms. It is believed that gene duplication is the most important step for the origin of genetic variation, leading to the creation of new genes and new gene functions. Despite the fact that extensive gene duplications are rare among the chloroplast genome, gene duplication in the chloroplast genome is an essential source of new genetic functions and a mechanism of neo-evolution. The events of gene transfer between the chloroplast genome and nuclear genome via duplication and subsequent recombination are important processes in evolution. The duplicated gene or genome in the nucleus has been the subject of several recent reviews. In this review, we will briefly summarize gene duplication and evolution in the chloroplast genome. Also, we will provide an overview of gene transfer events between chloroplast and nuclear genomes.     

Comparative genomics of Pneumocystis carinii with other protists: implications for life style

Three protistan genomes were analyzed for differential genetic traits that may be associated with biological adaptations to their unique life styles. The microsporidian, Encephalitozoon cuniculi, an obligate intracellular parasite; the ascomycetes, Pneumocystis carinii, considered an opportunistic pathogen; and Saccharomyces cerevisiae, a model organism exhibiting a free-living life style, were used in comparisons of genomic architecture, reproductive strategies, and metabolic capacity predicted by the presence of signature genes. Genome size, gene number, and metabolic function decreased as the organisms became more dependent on their hosts. In contrast, gene density and the percentage of genes dedicated to cell growth and division were substantially increased in the genome of E. cuniculi. The obligate life style was associated with reductions in gene number, genome size, and reduced metabolic capacity while the free-living life style was coincident with gene duplications and duplication of large portions of the genome. The genomic characteristics and metabolic capacity of P. carinii were usually intermediate between those of the other two protistan genomes, but unique characteristics such as the presence of a single rDNA locus may indicate that these organisms could be in the process of becoming more host dependent.     

Distributed robustness versus redundancy as causes of mutational robustness

A biological system is robust to mutations if it continues to function after genetic changes in its parts. Such robustness is pervasive on different levels of biological organization, from macromolecules to genetic networks and whole organisms. I here ask which of two possible causes of such robustness are more important on a genome-wide scale, for systems whose parts are genes, such as metabolic and genetic networks. The first of the two causes is redundancy of a system's parts: A gene may be dispensable if the genome contains redundant, back-up copies of the gene. The second cause, distributed robustness, is more poorly understood. It emerges from the distributed nature of many biological systems, where many (and different) parts contribute to system functions. I will here discuss evidence suggesting that distributed robustness is equally or more important for mutational robustness than gene redundancy. This evidence comes from the functional divergence of redundant genes, as well as from large-scale gene deletion studies. I also ask whether one can quantify the extent to which redundancy or distributed robustness contribute to mutational robustness.     

A theoretical approach to the large-scale evolution of multicellularity and cell differentiation

In contrast to Darwinian evolution in which organisms have been selected by the instantaneous judgment of advantage or disadvantage for a mutated gene, the large-scale evolution of multicellular organisms by drastic changes in their genomes to produce new genes is theoretically formulated on the basis of the new concept of ‘biological activity’. The ‘biological activity’ of an organism is a macroscopic quantity determined by its whole genome and the environment, consisting of three terms; the energy acquired from the outside, the energy stored in the form of bio-molecules, and the systematization of multicellularity as well as of organizing genes and their products. The acquired energy minus stored energy is lost as heat, and the entropy production by the heat must compensate for the entropy reduction owing to the systematization in the organism. Under the boundary determined by this thermodynamic law, the organisms, which experienced gene duplication to produce new genes for multicellularity and cell differentiation, first decline to be minor members in a population by the increase in the energy to be stored and by the advanced systematization of cell differentiation. If the acquired energy is raised by the cooperative action of newly differentiated cells with the pre-existing types of cells, however, the ‘biological activity’ of this new style of organism can be recovered. The new style of organism generated through this evolutionary process does not necessarily expel the old style of organism to extinction but can coexist by choosing different material and energy resources. Moreover, this theory of large-scale evolution not only explains the punctuated mode of evolution indicated by paleontology but also reproduces the divergence of body plans observed in Triploblastica and Tracheophyta.     

Conditional gene targeting in the kidney

Complete mapping of the genome in a number of organisms provides a challenge for experimental nephrologists to identify potential functions of a vast number of new genes in the kidney. Since knockout technologies have evolved in the early eighties the mouse has become a valuable model organism. Researchers can now artificially eliminate the expression of specific genes in a mammalian organism and examine the phenotype. New developments have emerged that allow investigators to knock out a gene specifically in the kidney. Several kidney-specific promoters provide valuable tools and bacterial artificial chromosome (BAC) based techniques like recombineering will enhance both number and accuracy of new mouse lines with spatially controlled gene expression. In addition to spatial control, tetracycline- or tamoxifen-inducible systems, provide the possibility of influencing the temporal expression pattern of a gene enabling researchers to dissect its functions in adult organisms. Knocking out a gene will continue to be the gold standard for defining the role of a specific gene whereas tissue-specific gene knockdown using RNA interference represents an alternative approach for generating lower-priced and fast loss of function models. In addition to reverse genetic approaches, forward genetic techniques like random mutagenesis in mice continue to evolve and will enhance our understanding of disease mechanisms in the kidney.     

Evolution of photosynthetic prokaryotes: a maximum-likelihood mapping approach

Reconstructing the early evolution of photosynthesis has been guided in part by the geological record, but the complexity and great antiquity of these early events require molecular genetic techniques as the primary tools of inference. Recent genome sequencing efforts have made whole genome data available from representatives of each of the five phyla of bacteria with photosynthetic members, allowing extensive phylogenetic comparisons of these organisms. Here, we have undertaken whole genome comparisons using maximum likelihood to compare 527 unique sets of orthologous genes from all five photosynthetic phyla. Substantiating recent whole genome analyses of other prokaryotes, our results indicate that horizontal gene transfer (HGT) has played a significant part in the evolution of these organisms, resulting in genomes with mosaic evolutionary histories. A small plurality phylogenetic signal was observed, which may be a core of remnant genes not subject to HGT, or may result from a propensity for gene exchange between two or more of the photosynthetic organisms compared.     

Modeling and simulation of genetic regulatory systems: a literature review.

In order to understand the functioning of organisms on the molecular level, we need to know which genes are expressed, when and where in the organism, and to which extent. The regulation of gene expression is achieved through genetic regulatory systems structured by networks of interactions between DNA, RNA, proteins, and small molecules. As most genetic regulatory networks of interest involve many components connected through interlocking positive and negative feedback loops, an intuitive understanding of their dynamics is hard to obtain. As a consequence, formal methods and computer tools for the modeling and simulation of genetic regulatory networks will be indispensable. This paper reviews formalisms that have been employed in mathematical biology and bioinformatics to describe genetic regulatory systems, in particular directed graphs, Bayesian networks, Boolean networks and their generalizations, ordinary and partial differential equations, qualitative differential equations, stochastic equations, and rule-based formalisms. In addition, the paper discusses how these formalisms have been used in the simulation of the behavior of actual regulatory systems.     

Synechocystis sp. PCC 6803 — a useful tool in the study of the genetics of cyanobacteria

The cyanobacterium Synechocystis sp. PCC 6803 was the first phototrophic organism to be fully sequenced. The genomic sequence has revealed the structure of the genome and its gene constituents (3167 genes), as well as the relative map positions of each gene. The functions of nearly half of the genes has been deduced using similarity searches. The genome sequence has also allowed for the implementation of systematic strategies to study gene function and the mechanisms of gene regulation on a genome-wide level. Two genome databases, CyanoBase and CyanoMutants, have been established and act as a central repository for information on gene structure and gene function, respectively. As a result of the genome sequencing and the establishment of these databases, Synechocystis sp. PCC 6803 provides an extremely versatile and easy model to study the genetic systems of photosynthetic organisms. This revised version was published online in June 2006 with corrections to the Cover Date.     

Discovery of induced point mutations in maize genes by TILLING

Background

Going from a gene sequence to its function in the context of a whole organism requires a strategy for targeting mutations, referred to as reverse genetics. Reverse genetics is highly desirable in the modern genomics era; however, the most powerful methods are generally restricted to a few model organisms. Previously, we introduced a reverse-genetic strategy with the potential for general applicability to organisms that lack well-developed genetic tools. Our TILLING (Targeting Induced Local Lesions IN Genomes) method uses chemical mutagenesis followed by screening for single-base changes to discover induced mutations that alter protein function. TILLING was shown to be an effective reverse genetic strategy by the establishment of a high-throughput TILLING facility and the delivery of thousands of point mutations in hundreds of Arabidopsis genes to members of the plant biology community.

Results

We demonstrate that high-throughput TILLING is applicable to maize, an important crop plant with a large genome but with limited reverse-genetic resources currently available. We screened pools of DNA samples for mutations in 1-kb segments from 11 different genes, obtaining 17 independent induced mutations from a population of 750 pollen-mutagenized maize plants. One of the genes targeted was the DMT102 chromomethylase gene, for which we obtained an allelic series of three missense mutations that are predicted to be strongly deleterious.

Conclusions

Our findings indicate that TILLING is a broadly applicable and efficient reverse-genetic strategy. We are establishing a public TILLING service for maize modeled on the existing Arabidopsis TILLING Project.