Introduction to ‘Origin and evolution of the nervous system’

In 1665, Robert Hooke demonstrated in Micrographia the power of the microscope and comparative observations, one of which revealed similarities between the arthropod and vertebrate eyes. Utilizing comparative observations, Saint-Hilaire in 1822 was the first to propose that the ventral nervous system of arthropods corresponds to the dorsal nervous system of vertebrates. Since then, studies on the origin and evolution of the nervous system have become inseparable from studies about Metazoan origins and the origins of organ systems. The advent of genome sequence data and, in turn, phylogenomics and phylogenetics have refined cladistics and expanded our understanding of Metazoan phylogeny. However, the origin and evolution of the nervous system is still obscure and many questions and problems remain. A recurrent problem is whether and to what extent sequence data provide reliable guidance for comparisons across phyla. Are genetic data congruent with the geological fossil records? How can we reconcile evolved character loss with phylogenomic records? And how informative are genetic data in relation to the specification of nervous system morphologies? These provide some of the background and context for a Royal Society meeting to discuss new data and concepts that might achieve insights into the origin and evolution of brains and nervous systems.     

Mapping tumor-suppressor genes with multipoint statistics from copy-number-variation data

Array-based comparative genomic hybridization (arrayCGH) is a microarray-based comparative genomic hybridization technique that has been used to compare tumor genomes with normal genomes, thus providing rapid genomic assays of tumor genomes in terms of copy-number variations of those chromosomal segments that have been gained or lost. When properly interpreted, these assays are likely to shed important light on genes and mechanisms involved in the initiation and progression of cancer. Specifically, chromosomal segments, deleted in one or both copies of the diploid genomes of a group of patients with cancer, point to locations of tumor-suppressor genes (TSGs) implicated in the cancer. In this study, we focused on automatic methods for reliable detection of such genes and their locations, and we devised an efficient statistical algorithm to map TSGs, using a novel multipoint statistical score function. The proposed algorithm estimates the location of TSGs by analyzing segmental deletions (hemi- or homozygous) in the genomes of patients with cancer and the spatial relation of the deleted segments to any specific genomic interval. The algorithm assigns, to an interval of consecutive probes, a multipoint score that parsimoniously captures the underlying biology. It also computes a P value for every putative TSG by using concepts from the theory of scan statistics. Furthermore, it can identify smaller sets of predictive probes that can be used as biomarkers for diagnosis and therapeutics. We validated our method using different simulated artificial data sets and one real data set, and we report encouraging results. We discuss how, with suitable modifications to the underlying statistical model, this algorithm can be applied generally to a wider class of problems (e.g., detection of oncogenes).     

Primate comparative genomics: lemur biology and evolution

Comparative genome sequencing projects are providing insight into aspects of genome biology that raise new questions and challenge existing paradigms. Placement in the phylogenetic tree can often be a major determinant of which organism to choose for study. Lemurs hold a key position at the base of the primate evolutionary tree and will be highly informative for the genomics community by offering comparisons of primate-specific characteristics and processes. Combining research in chromosome evolution, genome evolution and behavior with lemur comparative genomic sequencing will offer insights into many levels of primate evolution. We discuss the current state of lemur cytogenetic and phylogenetic analyses, and suggest how focusing more genomic efforts on lemurs will be beneficial to understanding human and primate evolution, as well as disease, and will contribute to conservation efforts.     

Comparative biology: beyond sequence analysis

Comparative analysis is a fundamental tool in biology. Conservation among species greatly assists the detection and characterization of functional elements, whereas inter-species differences are probably the best indicators of biological adaptation. Traditionally, comparative approaches were applied to the analysis of genomic sequences. With the growing availability of functional genomic data, comparative paradigms are now being extended also to the study of other functional attributes, most notably the gene expression. Here we review recent works applying comparative analysis to large-scale gene expression datasets and discuss the central principles and challenges of such approaches.     

Comparative genomics for reliable protein-function prediction from genomic data

Genomic data provide invaluable, yet unreliable information about protein function. However, if the overlap in information among various genomic datasets is taken into account, one observes an increase in the reliability of the protein-function predictions that can be made. Recently published approaches achieved this either by comparing the same type of data from multiple species (horizontal comparative genomics) or by using subtle, Bayesian methods to compare different types of genomic data from a single species (vertical comparative genomics). In this article, we discuss these methods, illustrating horizontal comparative genomics by comparing yeast two-hybrid (Y2H) data from Saccharomyces cerevisiae with Y2H data from Drosophila melanogaster, and illustrating vertical comparative genomics by comparing RNA expression data with proteomic data from Plasmodium falciparum.     

Repetitive elements in imprinted genes

Genomic imprinting in mammals results in mono-allelic expression of about 80 genes depending on the parental origin of the alleles. Though the epigenetic mechanisms underlying imprinting are rather clear, little is known about the genetic basis for these epigenetic mechanisms. It is still rather enigmatic which sequence features discriminate imprinted from non-imprinted genes/regions and why and how certain sequence elements are recognized and differentially marked in the germlines. It seems likely that specific DNA elements serve as signatures that guide the necessary epigenetic modification machineries to the imprinted regions. Inter- and intraspecific comparative genomic studies suggest that the unusual occurrence and distribution of various types of repetitive elements within imprinted regions may represent such genomic imprinting signatures. In this review we summarize the various observations made and discuss them in light of experimental data.     

Evolution of polygenic traits under global vs local adaptation

Observations about the number, frequency, effect size, and genomic distribution of alleles associated with complex traits must be interpreted in light of evolutionary process. These characteristics, which constitute a trait’s genetic architecture, can dramatically affect evolutionary outcomes in applications from agriculture to medicine, and can provide a window into how evolution works. Here, I review theoretical predictions about the evolution of genetic architecture under spatially homogeneous, global adaptation as compared with spatially heterogeneous, local adaptation. Due to the tension between divergent selection and migration, local adaptation can favor “concentrated” genetic architectures that are enriched for alleles of larger effect, clustered in a smaller number of genomic regions, relative to expectations under global adaptation. However, the evolution of such architectures may be limited by many factors, including the genotypic redundancy of the trait, mutation rate, and temporal variability of environment. I review the circumstances in which predictions differ for global vs local adaptation and discuss where progress can be made in testing hypotheses using data from natural populations and lab experiments. As the field of comparative population genomics expands in scope, differences in architecture among traits and species will provide insights into how evolution works, and such differences must be interpreted in light of which kind of selection has been operating.     

Dealing with DNA lesions: When one cell cycle is not enough

Subversion of genome integrity fuels cellular adaptation and is a prerequisite for organismal evolution, yet genomic lesions are also the harmful driving force of cancer and other age-related human diseases. Genome integrity maintenance is inherently linked to genome organization and nuclear architecture, which are substantially remodeled during the cell cycle. Here we discuss recent findings on how actively dividing cells cope with endogenous genomic lesions that occur frequently at repetitive, heterochromatic, and late replicating regions as byproducts of genome duplication. We discuss how such lesions, rather than being resolved immediately when they occur, are dealt with in subsequent cell cycle phases, and even after mitotic cell division, and how this in turn affects genome organization, stability, and function.     

Rapid evolution of reproductive proteins in abalone and Drosophila

Observations from different taxa, including plants, protozoa, insects and mammals, indicate that proteins involved in reproduction evolve rapidly. Several models of adaptive evolution have been proposed to explain this phenomenon, such as sexual conflict, sexual selection, self versus non-self recognition and pathogen resistance. Here we discuss the potential role of sexual conflict in the rapid evolution of reproductive genes in two different animal systems, abalone (Haliotis) and Drosophila. In abalone, we reveal how specific interacting sperm-egg proteins were identified and discuss this identification in the light of models for rapid protein evolution and speciation. For Drosophila, we describe the genomic approaches taken to identify male accessory gland proteins and female reproductive tract proteins. Patterns of protein evolution from both abalone and Drosophila support the predicted patterns of rapid protein evolution driven by sexual conflict. We stress however that other selective pressures may contribute to the rapid evolution that is observed. We conclude that the key to distinguishing between sexual conflict and other mechanisms of protein evolution will be an integration of genetic, experimental and theoretical data.     

Origin of eukaryotic cells: 40 years on

The year 1970 saw the publication of Origin of Eukaryotic Cells by Lynn Margulis. This influential book brought the exciting and weighty problems of cellular evolution to the scientific mainstream, simultaneously breaking new ground and ‘re-discovering’ the decades-old ideas of German and Russian biologists. In this commemorative review, I discuss the 40 years that have elapsed since this landmark publication, with a focus on the ‘molecular era’: how DNA sequencing and comparative genomics have proven beyond all doubt the central tenets of the endosymbiont hypothesis for the origin of mitochondria and plastids, and, at the same time, revealed a genetic and genomic complexity in modern-day eukaryotes that could not have been imagined in decades past.     

哺乳动物系统发育基因组学研究进展

哺乳动物是一类最进化并在地球上占主导地位的动物类群,重建其系统发育关系一直是分子系统学的研究热点。随着越来越多物种全基因组测序的完成,在基因组水平上探讨该类动物的系统发育关系与进化成为研究的热点。本文从全基因组序列,稀有基因组变异及染色体涂染等几个方面简要介绍了当前系统发育基因组学在现生哺乳动物分子系统学中的应用,综合已有的研究归纳整理了胎盘亚纲的总目及目间的系统发育关系,给出了胎盘动物19 个目的系统发育树。本文还分析了哺乳动物系统发育基因组学目前所面临的主要问题及未来的发展前景。     

Comparative Genomics and Evolution of Avian Specialized Traits

Genomic data are important for understanding the origin and evolution of traits. Under the context of rapidly developing of sequencing technologies and more widely available genome sequences, researchers are able to study evolutionary mechanisms of traits via comparative genomic methods. Compared with other vertebrates, bird genomes are relatively small and exhibit conserved synteny with few repetitive elements, which makes them suitable for evolutionary studies. Increasing genomic progress has been reported on the evolution of powered flight, body size variation, beak morphology, plumage colouration, high-elevation colonization, migration, and vocalization. By summarizing previous studies, we demonstrate the genetic bases of trait evolution, highlighting the roles of small-scale sequence variation, genomic structural variation, and changes in gene interaction networks. We suggest that future studies should focus on improving the quality of reference genomes, exploring the evolution of regulatory elements and networks, and combining genomic data with morphological, ecological, behavioural, and developmental biology data.     

Statistical methods of comparative genomic analysis based on diffusion processes

Comparative genomics is a powerful tool of genome functional specificity predictions and investigation of evolution specificity. Background of a large field of bioinformatics investigations is a computation of different scores of sequences and comparing them with a threshold. Comparative genomic analysis involves scores comparing for orthological groups of genetic objects. In this paper we represent a statistical approach to comparative genomic analysis, that based on investigation of diffusion in sequence space determined by neutral evolution of sequences. Using this approach we represent several statistics for selection pressure estimation and analyze statistics for several biological problems. We formulate technology of statistics applying to obtain new biological information. This approach is represented as Java-class library.     

Proteomics enhances evolutionary and functional analysis of reproductive proteins

Reproductive proteins maintain species‐specific barriers to fertilization, affect the outcome of sperm competition, mediate reproductive conflicts between the sexes, and potentially contribute to the formation of new species. However, the specific proteins and molecular mechanisms that underlie these processes are understood in only a handful of cases. Advances in genomic and proteomic technologies enable the identification of large suites of reproductive proteins, making it possible to dissect reproductive phenotypes at the molecular level. We first review these technological advances and describe how reproductive proteins are identified in diverse animal taxa. We then discuss the dynamic evolution of reproductive proteins and the potential selective forces that act on them. Finally, we describe molecular and genomic tools for functional analysis and detail how evolutionary data may be used to make predictions about interactions among reproductive proteins.     

Comparative genomics - a perspective

The rapidly emerging field of comparative genomics has yielded dramatic results. Comparative genome analysis has become feasible with the availability of a number of completely sequenced genomes. Comparison of complete genomes between organisms allow for global views on genome evolution and the availability of many completely sequenced genomes increases the predictive power in deciphering the hidden information in genome design, function and evolution. Thus, comparison of human genes with genes from other genomes in a genomic landscape could help assign novel functions for un-annotated genes. Here, we discuss the recently used techniques for comparative genomics and their derived inferences in genome biology.     

The rise and fall of bacterial clones: Streptococcus pneumoniae

Globally spreading bacterial strains belong to clonal types that have the capacity to colonize, spread and cause disease in the community. Recent comparative genomic analyses of well-defined clinical isolates have led to the identification of bacterial properties that are required for the successful spread of bacterial clones. In this Review, we discuss the evolution of bacterial clones, the importance of recombination versus mutations for evolution of clones, common methods used to study clonal relationships among bacteria, factors that may contribute to the clonal spread of bacteria and the potential relevance of bacterial clones to clinical disease. We focus on the common pathogen Streptococcus pneumoniae, although other bacteria are also briefly discussed, such as Helicobacter pylori, Staphylococcus aureus and Mycobacterium tuberculosis.     

Variability of the mitochondrial genome in mammals at the inter-species/intra-species boundary

Genomic variations represent the molecular basis of the biodiversity of living organisms on which selection operates to generate evolution. In eukaryotes, genomic variability can be experienced in both nuclear and organellar, i.e. mitochondrial and plastid (where present), genomes, which can follow completely different evolution pathways, as revealed by comparative genomics analyses. In Metazoa, for which a substantial number of complete genome sequences are available (nuclear, but mainly mitochondrial), we are just starting to grasp the selective pressures operating on some basic features of the genome as a whole. In this brief review, we discuss the variability of the mitochondrial metazoan genome, with particular reference to mitochondrial DNA in mammals. In light of the recent assumption that a small segment of mitochondrial DNA may be used, particularly in Metazoa, as a species marker, some data on mitochondrial gene variability at the inter-species/intra-species boundary are reported. Intra-species variability has been evaluated in four mammalian species, Homo sapiens, Bos taurus, Sus scrofa and Canis familiaris, whereas the relationship between intra- and inter-species variability has been investigated in Bos taurus and Bos indicus.     

Phylogeography’s past,present, and future: 10 years after

Approximately 20 years ago, Avise and colleagues proposed the integration of phylogenetics and population genetics for investigating the connection between micro- and macroevolutionary phenomena. The new field was termed phylogeography. Since the naming of the field, the statistical rigor of phylogeography has increased, in large part due to concurrent advances in coalescent theory which enabled model-based parameter estimation and hypothesis testing. The next phase will involve phylogeography increasingly becoming the integrative and comparative multi-taxon endeavor that it was originally conceived to be. This exciting convergence will likely involve combining spatially-explicit multiple taxon coalescent models, genomic studies of natural selection, ecological niche modeling, studies of ecological speciation, community assembly and functional trait evolution. This ambitious synthesis will allow us to determine the causal links between geography, climate change, ecological interactions and the evolution and composition of taxa across whole communities and assemblages. Although such integration presents analytical and computational challenges that will only be intensified by the growth of genomic data in non-model taxa, the rapid development of “likelihood-free” approximate Bayesian methods should permit parameter estimation and hypotheses testing using complex evolutionary demographic models and genomic phylogeographic data. We first review the conceptual beginnings of phylogeography and its accomplishments and then illustrate how it evolved into a statistically rigorous enterprise with the concurrent rise of coalescent theory. Subsequently, we discuss ways in which model-based phylogeography can interface with various subfields to become one of the most integrative fields in all of ecology and evolutionary biology.