Gene duplication as a major force in evolution

Gene duplication is an important mechanism for acquiring new genes and creating genetic novelty in organisms. Many new gene functions have evolved through gene duplication and it has contributed tremendously to the evolution of developmental programmes in various organisms. Gene duplication can result from unequal crossing over, retroposition or chromosomal (or genome) duplication. Understanding the mechanisms that generate duplicate gene copies and the subsequent dynamics among gene duplicates is vital because these investigations shed light on localized and genomewide aspects of evolutionary forces shaping intra-specific and inter-specific genome contents, evolutionary relationships, and interactions. Based on whole-genome analysis of Arabidopsis thaliana, there is compelling evidence that angiosperms underwent two whole-genome duplication events early during their evolutionary history. Recent studies have shown that these events were crucial for creation of many important developmental and regulatory genes found in extant angiosperm genomes. Recent studies also provide strong indications that even yeast (Saccharomyces cerevisiae), with its compact genome, is in fact an ancient tetraploid. Gene duplication can provide new genetic material for mutation, drift and selection to act upon, the result of which is specialized or new gene functions. Without gene duplication the plasticity of a genome or species in adapting to changing environments would be severely limited. Whether a duplicate is retained depends upon its function, its mode of duplication, (i.e. whether it was duplicated during a whole-genome duplication event), the species in which it occurs, and its expression rate. The exaptation of preexisting secondary functions is an important feature in gene evolution, just as it is in morphological evolution.     

Computer system "Gene Discovery" for searching for regularities in organization of eukaryotic regulatory sequences]

A method is proposed to automatically search for patterns in the mutual location of context signals in regulatory DNA sequences. The procedure is based on the methods of Data Mining and Knowledge Discovery software, implemented in a computer system Gene Discovery. This system was used to study erythroid-specific promoters and promoters of the endocrine-system genes from TRRD. We detected some trends in occurrence and localization of specific oligonucleotide groups.     

Computer System “Gene Discovery” to Search for Patterns in Eukaryotic Regulatory Nucleotide Sequences

A method is proposed to automatically search for patterns in the mutual location of context signals in regulatory DNA sequences. The procedure is based on the methods of Data Mining and Knowledge Discovery software, implemented in a computer system Gene Discovery. This system was used to study erythroid-specific promoters and promoters of the endocrine-system genes from TRRD. We detected some trends in occurrence and localization of specific oligonucleotide groups.     

Physics-based gene identification: proof of concept for Plasmodium falciparum

The ab initio prediction of new genes in eukaryotic genomes represents a difficult task, notably for the identification of complex split genes. A Physics-Based Gene Identification (PBGI) method was formulated recently (Yeramian, Gene, 255, 139-150, 151-168, 2000a,b) to address this problem, taking as a model the Plasmodium falciparum genome. Here, the predictive power of this method is put under experimental test for this genome. The presented results demonstrate the usefulness of the PBGI as a gene-identification tool for P. falciparum, notably for the discovery of new genes with no homology to known genes. Perspectives opened by this new method for other eukaryotic genomes are also mentioned.     

Gene3D: structural assignments for the biologist and bioinformaticist alike

The Gene3D database (http://www.biochem.ucl.ac.uk/bsm/cath_new/Gene3D/) provides structural assignments for genes within complete genomes. These are available via the internet from either the World Wide Web or FTP. Assignments are made using PSI-BLAST and subsequently processed using the DRange protocol. The DRange protocol is an empirically benchmarked method for assessing the validity of structural assignments made using sequence searching methods where appropriate assignment statistics are collected and made available. Gene3D links assignments to their appropriate entries in relevent structural and classification resources (PDBsum, CATH database and the Dictionary of Homologous Superfamilies). Release 2.0 of Gene3D includes 62 genomes, 2 eukaryotes, 10 archaea and 40 bacteria. Currently, structural assignments can be made for between 30 and 40 percent of any given genome. In any genome, around half of those genes assigned a structural domain are assigned a single domain and the other half of the genes are assigned multiple structural domains. Gene3D is linked to the CATH database and is updated with each new update of CATH.     

Transcriptome study in China

The Chinese genome project was initiated in 1993 with the goal of contributing 1% to the Human Genome Program. The study of gene expression profiles with cDNA microarrays, and large-scale sequencing and analysis of 130928 expressed sequence tags (ESTs), allowed isolation and characterization of over 1000 novel full-length human cDNAs derived from human hematopoietic stem/progenitor cells, neuroendocrine tissues, liver, and cardiovascular cells. In addition, EST sequencing for model organisms, including rat, zebrafish, Schistosoma japonicum and rice was performed, aiming at identifying genes associated with physiological and/or pathological characteristics.     

A review of current large‐scale mouse knockout efforts

After the successful completion of the human genome project (HGP), biological research in the postgenome era urgently needs an efficient approach for functional analysis of genes. Utilization of knockout mouse models has been powerful for elucidating the function of genes as well as finding new therapeutic interventions for human diseases. Gene trapping and gene targeting are two independent techniques for making knockout mice from embryonic stem (ES) cells. Gene trapping is high‐throughput, random, and sequence‐tagged while gene targeting enables the knockout of specific genes. It has been about 20 years since the first gene targeting and gene trapping mice were generated. In recent years, new tools have emerged for both gene targeting and gene trapping, and organizations have been formed to knock out genes in the mouse genome using either of the two methods. The knockout mouse project (KOMP) and the international gene trap consortium (IGTC) were initiated to create convenient resources for scientific research worldwide and knock out all the mouse genes. Organizers of KOMP regard it as important as the HGP. Gene targeting methods have changed from conventional gene targeting to high‐throughput conditional gene targeting. The combined advantages of trapping and targeting elements are improving the gene trapping spectrum and gene targeting efficiency. As a newly‐developed insertional mutation system, transposons have some advantages over retrovirus in trapping genes. Emergence of the international knockout mouse consortium (IKMP) is the beginning of a global collaboration to systematically knock out all the genes in the mouse genome for functional genomic research. genesis 48:73–85, 2010. © 2010 Wiley‐Liss, Inc.     

Otitis Media Impacts Hundreds of Mouse Middle and Inner Ear Genes

Objective

Otitis media is known to alter expression of cytokine and other genes in the mouse middle ear and inner ear. However, whole mouse genome studies of gene expression in otitis media have not previously been undertaken. Ninety-nine percent of mouse genes are shared in the human, so these studies are relevant to the human condition.

Methods

To assess inflammation-driven processes in the mouse ear, gene chip analyses were conducted on mice treated with trans-tympanic heat-killed Hemophilus influenza using untreated mice as controls. Middle and inner ear tissues were separately harvested at 6 hours, RNA extracted, and samples for each treatment processed on the Affymetrix 430 2.0 Gene Chip for expression of its 34,000 genes.

Results

Statistical analysis of gene expression compared to control mice showed significant alteration of gene expression in 2,355 genes, 11% of the genes tested and 8% of the mouse genome. Significant middle and inner ear upregulation (fold change >1.5, p<0.05) was seen in 1,081 and 599 genes respectively. Significant middle and inner ear downregulation (fold change <0.67, p<0.05) was seen in 978 and 287 genes respectively. While otitis media is widely believed to be an exclusively middle ear process with little impact on the inner ear, the inner ear changes noted in this study were numerous and discrete from the middle ear responses. This suggests that the inner ear does indeed respond to otitis media and that its response is a distinctive process. Numerous new genes, previously not studied, are found to be affected by inflammation in the ear.

Conclusion

Whole genome analysis via gene chip allows simultaneous examination of expression of hundreds of gene families influenced by inflammation in the middle ear. Discovery of new gene families affected by inflammation may lead to new approaches to the study and treatment of otitis media.     

Seeing double: gene duplication and diversification in plant secondary metabolism

Gene duplications drive the recruitment of genes for secondary metabolism. Gene copies are gradually modified to create genes with specificities and expression patterns adapted to the needs of the new pathway in which they are involved. Duplicated genes are often in tandem repeats, forming clusters within the plant genome. However, in some cases, clusters of nonhomologous genes have also been identified as forming a functional unit. The selective forces that have caused the establishment of new pathways are far from understood and might have changed repeatedly during evolution owing to the continuously changing environment. Recent data show that the way several classes of secondary compounds are scattered among species is attributable to independent recruitment and the inactivation of biosynthetic enzymes.     

Genetic manipulation of schistosomes--progress with integration competent vectors

Draft genome sequences for Schistosoma japonicum and S. mansoni are now available. The schistosome genome encodes ～13,000 protein-encoding genes for which the functions of few are well understood. Nonetheless, the new genes represent potential intervention targets, and molecular tools are being developed to determine their importance. Over the past 15 years, noteworthy progress has been achieved towards development of tools for gene manipulation and transgenesis of schistosomes. A brief history of genetic manipulation is presented, along with a review of the field with emphasis on reports of integration of transgenes into schistosome chromosomes.     

Literature Mining for the Discovery of Hidden Connections between Drugs,Genes and Diseases

The scientific literature represents a rich source for retrieval of knowledge on associations between biomedical concepts such as genes, diseases and cellular processes. A commonly used method to establish relationships between biomedical concepts from literature is co-occurrence. Apart from its use in knowledge retrieval, the co-occurrence method is also well-suited to discover new, hidden relationships between biomedical concepts following a simple ABC-principle, in which A and C have no direct relationship, but are connected via shared B-intermediates. In this paper we describe CoPub Discovery, a tool that mines the literature for new relationships between biomedical concepts. Statistical analysis using ROC curves showed that CoPub Discovery performed well over a wide range of settings and keyword thesauri. We subsequently used CoPub Discovery to search for new relationships between genes, drugs, pathways and diseases. Several of the newly found relationships were validated using independent literature sources. In addition, new predicted relationships between compounds and cell proliferation were validated and confirmed experimentally in an in vitro cell proliferation assay. The results show that CoPub Discovery is able to identify novel associations between genes, drugs, pathways and diseases that have a high probability of being biologically valid. This makes CoPub Discovery a useful tool to unravel the mechanisms behind disease, to find novel drug targets, or to find novel applications for existing drugs.     

Schistosoma mansoni genome project: an update

A schistosome genome project was initiated by the World Health Organization in 1994 with the notion that the best prospects for identifying new targets for drugs, vaccines, and diagnostic development lie in schistosome gene discovery, development of chromosome maps, whole genome sequencing and genome analysis. Schistosoma mansoni has a haploid genome of 270 Mb contained on 8 pairs of chromosomes. It is estimated that the S. mansoni genome contains between 15000 and 25000 genes. There are approximately 16689 ESTs obtained from diverse libraries representing different developmental stages of S. mansoni, deposited in the NCBI EST database. More than half of the deposited sequences correspond to genes of unknown function. Approximately 40-50% of the sequences form unique clusters, suggesting that approximately 20-25% of the total schistosome genes have been discovered. Efforts to develop low resolution chromosome maps are in progress. There is a genome sequencing program underway that will provide 3X sequence coverage of the S. mansoni genome that will result in approximately 95% gene discovery. The genomics era has provided the resources to usher in the era of functional genomics that will involve microarrays to focus on specific metabolic pathways, proteomics to identify relevant proteins and protein-protein interactions to understand critical parasite pathways. Functional genomics is expected to accelerate the development of control and treatment strategies for schistosomiasis.     

Making the most of mitochondrial genomes--markers for phylogeny, molecular ecology and barcodes in Schistosoma (Platyhelminthes: Digenea)

An increasing number of complete sequences of mitochondrial (mt) genomes provides the opportunity to optimise the choice of molecular markers for phylogenetic and ecological studies. This is particularly the case where mt genomes from closely related taxa have been sequenced; e.g., within Schistosoma. These blood flukes include species that are the causative agents of schistosomiasis, where there has been a need to optimise markers for species and strain recognition. For many phylogenetic and population genetic studies, the choice of nucleotide sequences depends primarily on suitable PCR primers. Complete mt genomes allow individual gene or other mt markers to be assessed relative to one another for potential information content, prior to broad-scale sampling. We assess the phylogenetic utility of individual genes and identify regions that contain the greatest interspecific variation for molecular ecological and diagnostic markers. We show that variable characters are not randomly distributed along the genome and there is a positive correlation between polymorphism and divergence. The mt genomes of African and Asian schistosomes were compared with the available intraspecific dataset of Schistosoma mansoni through sliding window analyses, in order to assess whether the observed polymorphism was at a level predicted from interspecific comparisons. We found a positive correlation except for the two genes (cox1 and nad1) adjoining the putative control region in S. mansoni. The genes nad1, nad4, nad5, cox1 and cox3 resolved phylogenies that were consistent with a benchmark phylogeny and in general, longer genes performed better in phylogenetic reconstruction. Considering the information content of entire mt genome sequences, partial cox1 would not be the ideal marker for either species identification (barcoding) or population studies with Schistosoma species. Instead, we suggest the use of cox3 and nad5 for both phylogenetic and population studies. Five primer pairs designed against Schistosoma mekongi and Schistosoma malayensis were tested successfully against Schistosoma japonicum. In combination, these fragments encompass 20-27% of the variation amongst the genomes (average total length approximately 14,000bp), thus providing an efficient means of encapsulating the greatest amount of variation within the shortest sequence. Comparative mitogenomics provides the basis of a rational approach to molecular marker selection and optimisation.     

The complete mitochondrial genomes of Schistosoma haematobium and Schistosoma spindale and the evolutionary history of mitochondrial genome changes among parasitic flatworms

Complete mitochondrial genome sequences for the schistosomes Schistosoma haematobium and Schistosoma. spindale have been characterized. S. haematobium is the causative agent of urinary schistosomiasis in humans and S. spindale uses ruminants as its definitive host; both are transmitted by freshwater snail intermediate hosts. Results confirm a major gene order rearrangement among schistosomes in all traditional Schistosoma species groups other than Schistosoma japonicum; i.e., species groups S. mansoni, S. haematobium, and S. indicum. These data lend support to the 'out of Asia' (East and Southeast Asia) hypothesis for Schistosoma. The gene order change involves translocation of atp6-nad2-trnA and a rearrangement of nad3-nad1 relative to other parasitic flatworm mt genomes so far sequenced. Gene order and tRNA secondary structure changes (loss and acquisition of the DHU and/or TPsiC arms of trnC, trnF, and trnR) between mitochondrial genomes of these and other (digenean and cestode) flatworms were inferred by character mapping onto a phylogeny estimated from nuclear small subunit rRNA gene sequences of these same species, in order to find additional rare genomic changes suitable as synapomorphies. Denser and wider taxon sampling of mt genomes across the Platyhelminthes will validate these putative characters.     

Gene and enhancer trap tagging of vascular-expressed genes in poplar trees

We report a gene discovery system for poplar trees based on gene and enhancer traps. Gene and enhancer trap vectors carrying the beta-glucuronidase (GUS) reporter gene were inserted into the poplar genome via Agrobacterium tumefaciens transformation, where they reveal the expression pattern of genes at or near the insertion sites. Because GUS expression phenotypes are dominant and are scored in primary transformants, this system does not require rounds of sexual recombination, a typical barrier to developmental genetic studies in trees. Gene and enhancer trap lines defining genes expressed during primary and secondary vascular development were identified and characterized. Collectively, the vascular gene expression patterns revealed that approximately 40% of genes expressed in leaves were expressed exclusively in the veins, indicating that a large set of genes is required for vascular development and function. Also, significant overlap was found between the sets of genes responsible for development and function of secondary vascular tissues of stems and primary vascular tissues in other organs of the plant, likely reflecting the common evolutionary origin of these tissues. Chromosomal DNA flanking insertion sites was amplified by thermal asymmetric interlaced PCR and sequenced and used to identify insertion sites by reference to the nascent Populus trichocarpa genome sequence. Extension of the system was demonstrated through isolation of full-length cDNAs for five genes of interest, including a new class of vascular-expressed gene tagged by enhancer trap line cET-1-pop1-145. Poplar gene and enhancer traps provide a new resource that allows plant biologists to directly reference the poplar genome sequence and identify novel genes of interest in forest biology.     

Go retro and get a GRIP

Gene retrocopy insertions are a source of new genes and new gene functions, and can now be identified using paired-end whole genome sequencing data.