Manipulating the Mouse Genome: New Approaches for the Dissection of Mouse Development

In mammals the molecular events that guide pattern formation during embryonic development have been difficult to characterize, partly because of difficulty in observing the development after implantation and in relating the phenotype of a dysmorphic mutation with a specific gene in which the mutation occurs. However, recent advances in the recombinant DNA technique and in manipulation techniques in mouse embryos have made it possible to clone genes involved in the process of development of mice. In addition, advances in human gene mapping and cloning have facilitated studies on mouse development. Thus, mice are now useful in research on developmental biology.     

MGD: the Mouse Genome Database

The Mouse Genome Database (MGD) (http://www.informatics.jax.org) one component of a community database resource for the laboratory mouse, a key model organism for interpreting the human genome and for understanding human biology. MGD strives to provide an extensively integrated information resource with experimental details annotated from both literature and on-line genomic data sources. MGD curates and presents the consensus representation of genotype (sequence) to phenotype information including highly detailed information about genes and gene products. Primary foci of integration are through representations of relationships between genes, sequences and phenotypes. MGD collaborates with other bioinformatics groups to curate a definitive set of information about the laboratory mouse. Recent developments include a general implementation of database structures for controlled vocabularies and the integration of a phenotype classification system.     

Genomic Islands in the Corynebacterium efficiens Genome

Corynebacterium efficiens is a gram-positive nonpathogenic bacterium which can grow and produce glutamate at 40°C or above. By using the cumulative GC profile method, we have identified four genomic islands which have many unifying genomic island-specific features in the C. efficiens genome. The presence of the gene encoding an aspartate kinase in a genomic island helps explain the unexpected low thermal stability of this enzyme; i.e., the adaptive mutations have not occurred extensively due to the recent horizontal gene transfer.     

A Hybrid Approach for CpG Island Detection in the Human Genome

Background

CpG islands have been demonstrated to influence local chromatin structures and simplify the regulation of gene activity. However, the accurate and rapid determination of CpG islands for whole DNA sequences remains experimentally and computationally challenging.

Methodology/Principal Findings

A novel procedure is proposed to detect CpG islands by combining clustering technology with the sliding-window method (PSO-based). Clustering technology is used to detect the locations of all possible CpG islands and process the data, thus effectively obviating the need for the extensive and unnecessary processing of DNA fragments, and thus improving the efficiency of sliding-window based particle swarm optimization (PSO) search. This proposed approach, named ClusterPSO, provides versatile and highly-sensitive detection of CpG islands in the human genome. In addition, the detection efficiency of ClusterPSO is compared with eight CpG island detection methods in the human genome. Comparison of the detection efficiency for the CpG islands in human genome, including sensitivity, specificity, accuracy, performance coefficient (PC), and correlation coefficient (CC), ClusterPSO revealed superior detection ability among all of the test methods. Moreover, the combination of clustering technology and PSO method can successfully overcome their respective drawbacks while maintaining their advantages. Thus, clustering technology could be hybridized with the optimization algorithm method to optimize CpG island detection.

Conclusion/Significance

The prediction accuracy of ClusterPSO was quite high, indicating the combination of CpGcluster and PSO has several advantages over CpGcluster and PSO alone. In addition, ClusterPSO significantly reduced implementation time.     

The Distribution of Enzyme and Inversion Polymorphism over the Genome of Drosophila: Evidence against Balancing Selection

In species of repleta group of Drosophila about 70% of the electrophoretic variability is absorbed by the same chromosome which absorbs about 70% of the cytological variability of the group. However, this does not imply that inversions are actively involved in the maintenance of protein variation. A comparison of cytological and electrophoretic variation of homologous chromosomes points out that the amount of cytological polymorphism varies greatly over species of Drosophila while electrophoretic variation does not. This suggests that allelozymes do not constitute part of the coadapted complexes of genes characterizing the inversions. Rather, the amount of electropheptide molecule and is largely independent of factors such as background genotype and differences in the environment.     

Chromosomal Copy Number Variation in Saccharomyces pastorianus Is Evidence for Extensive Genome Dynamics in Industrial Lager Brewing Strains

Lager brewing strains of Saccharomyces pastorianus are natural interspecific hybrids originating from the spontaneous hybridization of Saccharomyces cerevisiae and Saccharomyces eubayanus. Over the past 500 years, S. pastorianus has been domesticated to become one of the most important industrial microorganisms. Production of lager-type beers requires a set of essential phenotypes, including the ability to ferment maltose and maltotriose at low temperature, the production of flavors and aromas, and the ability to flocculate. Understanding of the molecular basis of complex brewing-related phenotypic traits is a prerequisite for rational strain improvement. While genome sequences have been reported, the variability and dynamics of S. pastorianus genomes have not been investigated in detail. Here, using deep sequencing and chromosome copy number analysis, we showed that S. pastorianus strain CBS1483 exhibited extensive aneuploidy. This was confirmed by quantitative PCR and by flow cytometry. As a direct consequence of this aneuploidy, a massive number of sequence variants was identified, leading to at least 1,800 additional protein variants in S. pastorianus CBS1483. Analysis of eight additional S. pastorianus strains revealed that the previously defined group I strains showed comparable karyotypes, while group II strains showed large interstrain karyotypic variability. Comparison of three strains with nearly identical genome sequences revealed substantial chromosome copy number variation, which may contribute to strain-specific phenotypic traits. The observed variability of lager yeast genomes demonstrates that systematic linking of genotype to phenotype requires a three-dimensional genome analysis encompassing physical chromosomal structures, the copy number of individual chromosomes or chromosomal regions, and the allelic variation of copies of individual genes.     

Functional Specificity of CpG DNA-binding CXXC Domains in Mixed Lineage Leukemia

The MLL CXXC domain binds nonmethylated CpG-containing DNA and is essential for the oncogenic properties of MLL fusion proteins. To determine potential functional promiscuity of similar DNA binding domains, we replaced the MLL CXXC domain in the context of the leukemogenic MLL-AF9 fusion with CXXC domains from DNMT1, CGBP (CFP1), and MBD1, or with a methyl-CpG-binding domain (MBD) from MBD1. MLL(DNMT1 CXXC)-AF9 shows robust in vitro colony forming activity and in vivo leukemogenesis, similar to MLL-AF9. However, colony forming ability and leukemogenicity are abrogated in MLL-AF9 containing either the CGBP or MBD1 CXXC domains or the MBD1 MBD domain. Direct comparison of in vitro DNA binding affinity of the isolated CXXC or MBD domains demonstrated that MLL, DNMT1, and CGBP CXXC domains could each bind to unmethylated DNA but with differing affinity. In contrast, the isolated MBD1 CXXC and MBD1 MBD domains were unable to bind to the same DNA. However, all substituted domains still allowed targeting of the MLL fusions to the functionally important Hoxa9 locus in primary bone marrow progenitor cells. In addition to DNA binding activity, it was critical that specific CpG residues in the Hoxa9 locus were protected from methylation for leukemia development. This ultimately prevented histone 3 lysine 9 trimethylation (H3K9me3) of the locus and enabled Hoxa9 expression. These were properties shared by MLL and DNMT1 CXXC domains but not by CGBP CXXC or the other swapped fusions tested. We demonstrate that similar CXXC domains can be mechanistically distinguished by specificity of CpG nucleotides preferentially protected from DNA methylation.     

The Mouse Genome Database (MGD): integration nexus for the laboratory mouse

The Mouse Genome Database (MGD) is the community database resource for the laboratory mouse, a key model organism for interpreting the human genome and for understanding human biology and disease (http://www.informatics.jax.org). MGD provides standard nomenclature and consensus map positions for mouse genes and genetic markers; it provides a curated set of mammalian homology records, user-defined chromosomal maps, experimental data sets and the definitive mouse 'gene to sequence' reference set for the research community. The integration and standardization of these data sets facilitates the transition between mouse DNA sequence, gene and phenotype annotations. A recent focus on allele and phenotype representations enhances the ability of MGD to organize and present data for exploring the relationship between genotype and phenotype. This link between the genome and the biology of the mouse is especially important as phenotype information grows from large mutagenesis projects and genotype information grows from large-scale sequencing projects.     

On the Structural Plasticity of the Human Genome: Chromosomal Inversions Revisited

With the aid of novel and powerful molecular biology techniques, recent years have witnessed a dramatic increase in the number of studies reporting the involvement of complex structural variants in several genomic disorders. In fact, with the discovery of Copy Number Variants (CNVs) and other forms of unbalanced structural variation, much attention has been directed to the detection and characterization of such rearrangements, as well as the identification of the mechanisms involved in their formation. However, it has long been appreciated that chromosomes can undergo other forms of structural changes - balanced rearrangements - that do not involve quantitative variation of genetic material. Indeed, a particular subtype of balanced rearrangement – inversions – was recently found to be far more common than had been predicted from traditional cytogenetics. Chromosomal inversions alter the orientation of a specific genomic sequence and, unless involving breaks in coding or regulatory regions (and, disregarding complex trans effects, in their close vicinity), appear to be phenotypically silent. Such a surprising finding, which is difficult to reconcile with the classical interpretation of inversions as a mechanism causing subfertility (and ultimately reproductive isolation), motivated a new series of theoretical and empirical studies dedicated to understand their role in human genome evolution and to explore their possible association to complex genetic disorders. With this review, we attempt to describe the latest methodological improvements to inversions detection at a genome wide level, while exploring some of the possible implications of inversion rearrangements on the evolution of the human genome.