Structural and functional diversity of connexin genes in the mouse and human genome

Gap junctions are clustered channels between contacting cells through which direct intercellular communication via diffusion of ions and metabolites can occur. Two hemichannels, each built up of six connexin protein subunits in the plasma membrane of adjacent cells, can dock to each other to form conduits between cells. We have recently screened mouse and human genomic data bases and have found 19 connexin (Cx) genes in the mouse genome and 20 connexin genes in the human genome. One mouse connexin gene and two human connexin genes do not appear to have orthologs in the other genome. With three exceptions, the characterized connexin genes comprise two exons whereby the complete reading frame is located on the second exon. Targeted ablation of eleven mouse connexin genes revealed basic insights into the functional diversity of the connexin gene family. In addition, the phenotypes of human genetic disorders caused by mutated connexin genes further complement our understanding of connexin functions in the human organism. In this review we compare currently identified connexin genes in both the mouse and human genome and discuss the functions of gap junctions deduced from targeted mouse mutants and human genetic disorders.     

A search for candidate genes for lipodystrophy,obesity and diabetes via gene expression analysis of A-ZIP/F-1 mice

Genome scans for diabetes have identified many regions of the human genome that correlate with the disease state. To identify candidate genes for type 2 diabetes, we examined the transgenic A-ZIP/F-1 mouse. This mouse model has no white fat, resulting in abnormal levels of glucose, insulin, and leptin, making the A-ZIP/F-1 mice a good model for lipodystrophy and insulin resistance. We used cDNA-based microarrays to find differentially expressed genes in four tissues of these mice. We examined these results in the context of human linkage scans for lipodystrophy, obesity, and type 2 diabetes. We combined 199 known human orthologs of the misregulated mouse genes with 33 published human genome scans on a genome map. Integrating expression data with human linkage results permitted us to suggest and prioritize candidate genes for lipodystrophy and related disorders. These genes include a cluster of 3 S100A genes on chromosome 1 and SLPI1 on chromosome 20.     

Lineage-Specific Biology Revealed by a Finished Genome Assembly of the Mouse

The mouse (Mus musculus) is the premier animal model for understanding human disease and development. Here we show that a comprehensive understanding of mouse biology is only possible with the availability of a finished, high-quality genome assembly. The finished clone-based assembly of the mouse strain C57BL/6J reported here has over 175,000 fewer gaps and over 139 Mb more of novel sequence, compared with the earlier MGSCv3 draft genome assembly. In a comprehensive analysis of this revised genome sequence, we are now able to define 20,210 protein-coding genes, over a thousand more than predicted in the human genome (19,042 genes). In addition, we identified 439 long, non–protein-coding RNAs with evidence for transcribed orthologs in human. We analyzed the complex and repetitive landscape of 267 Mb of sequence that was missing or misassembled in the previously published assembly, and we provide insights into the reasons for its resistance to sequencing and assembly by whole-genome shotgun approaches. Duplicated regions within newly assembled sequence tend to be of more recent ancestry than duplicates in the published draft, correcting our initial understanding of recent evolution on the mouse lineage. These duplicates appear to be largely composed of sequence regions containing transposable elements and duplicated protein-coding genes; of these, some may be fixed in the mouse population, but at least 40% of segmentally duplicated sequences are copy number variable even among laboratory mouse strains. Mouse lineage-specific regions contain 3,767 genes drawn mainly from rapidly-changing gene families associated with reproductive functions. The finished mouse genome assembly, therefore, greatly improves our understanding of rodent-specific biology and allows the delineation of ancestral biological functions that are shared with human from derived functions that are not.     

Is alternative splicing of mammalian genes conservative?

The conservation of alternative splicing in orthologous genes from the human and mouse genomes was analyzed. Alternatively spliced mouse genes from the AsMamDB database were used to scan the draft human genome. The mouse protein isoforms were aligned with respect to orthologous human genes, and thus the exon-intron structure of the latter was established. Proteins isoforms that could not be aligned throughout their length were analyzed in detail using the human EST alignment.     

Assessment of the relationship between signal intensities and transcript concentration for Affymetrix GeneChip®arrays

Background

The availability of both mouse and human draft genomes has marked the beginning of a new era of comparative mammalian genomics. The two available mouse genome assemblies, from the public mouse genome sequencing consortium and Celera Genomics, were obtained using different clone libraries and different assembly methods.

Results

We present here a critical comparison of the two latest mouse genome assemblies. The utility of the combined genomes is further demonstrated by comparing them with the human 'golden path' and through a subsequent analysis of a resulting conserved sequence element (CSE) database, which allows us to identify over 6,000 potential novel genes and to derive independent estimates of the number of human protein-coding genes.

Conclusion

The Celera and public mouse assemblies differ in about 10% of the mouse genome. Each assembly has advantages over the other: Celera has higher accuracy in base-pairs and overall higher coverage of the genome; the public assembly, however, has higher sequence quality in some newly finished bacterial artifical chromosome clone (BAC) regions and the data are freely accessible. Perhaps most important, by combining both assemblies, we can get a better annotation of the human genome; in particular, we can obtain the most complete set of CSEs, one third of which are related to known genes and some others are related to other functional genomic regions. More than half the CSEs are of unknown function. From the CSEs, we estimate the total number of human protein-coding genes to be about 40,000. This searchable publicly available online CSEdb will expedite new discoveries through comparative genomics.     

Connexin Genes in the Mouse and Human Genome

Gap junctions serve for direct intercellular communication by docking of two hemichannels in adjacent cells thereby forming conduits between the cytoplasmic compartments of adjacent cells. Connexin genes code for subunit proteins of gap junction channels and are members of large gene families in mammals. So far, 17 connexin (Cx) genes have been described and characterized in the murine genome. For most of them, orthologues in the human genome have been found (see White and Paul 1999; Manthey et al. 1999; Teubner et al. 2001; Söhl et al. 2001). We have recently performed searches for connexin genes in murine and human gene libraries available at EMBL/Heidelberg, NCBI and the Celera company that have increased the number of identified connexins to 19 in mouse and 20 in humans. For one mouse connexin gene and two human connexin genes we did not find orthologues in the other genome. Here we present a short overview on distinct connexin genes which we found in the mouse and human genome and which may include all members of this gene family, if no further connexin gene will be discovered in the remaining non-sequenced parts (about 1-5%) of the genomes.     

Isochores and tissue-specificity

The housekeeping (ubiquitously expressed) genes in the mammal genome were shown here to be on average slightly GC-richer than tissue-specific genes. Both housekeeping and tissue-specific genes occupy similar ranges of GC content, but the former tend to concentrate in the upper part of the range. In the human genome, tissue-specific genes show two maxima, GC-poor and GC-rich. The strictly tissue-specific human genes tend to concentrate in the GC-poor region; their distribution is left-skewed and thus reciprocal to the distribution of housekeeping genes. The intermediately tissue-specific genes show an intermediate GC content and the right-skewed distribution. Both in the human and mouse, genes specific for some tissues (e.g., parts of the central nervous system) have a higher average GC content than housekeeping genes. Since they are not transcribed in the germ line (in contrast to housekeeping genes), and therefore have a lower probability of inheritable gene conversion, this finding contradicts the biased gene conversion (BGC) explanation for elevated GC content in the heavy isochores of mammal genome. Genes specific for germ-line tissues (ovary, testes) show a low average GC content, which is also in contradiction to the BGC explanation. Both for the total data set and for the most part of tissues taken separately, a weak positive correlation was found between gene GC content and expression level. The fraction of ubiquitously expressed genes is nearly 1.5-fold higher in the mouse than in the human. This suggests that mouse tissues are comparatively less differentiated (on the molecular level), which can be related to a less pronounced isochoric structure of the mouse genome. In each separate tissue (in both species), tissue-specific genes do not form a clear-cut frequency peak (in contrast to housekeeping genes), but constitute a continuum with a gradually increasing degree of tissue-specificity, which probably reflects the path of cell differentiation and/or an independent use of the same protein in several unrelated tissues.     

Connexin genes in the mouse and human genome

Gap junctions serve for direct intercellular communication by docking of two hemichannels in adjacent cells thereby forming conduits between the cytoplasmic compartments of adjacent cells. Connexin genes code for subunit proteins of gap junction channels and are members of large gene families in mammals. So far, 17 connexin (Cx) genes have been described and characterized in the murine genome. For most of them, orthologues in the human genome have been found (see White and Paul 1999; Manthey et al. 1999; Teubner et al. 2001; S?hl et al. 2001). We have recently performed searches for connexin genes in murine and human gene libraries available at EMBL/Heidelberg, NCBI and the Celera company that have increased the number of identified connexins to 19 in mouse and 20 in humans. For one mouse connexin gene and two human connexin genes we did not find orthologues in the other genome. Here we present a short overview on distinct connexin genes which we found in the mouse and human genome and which may include all members of this gene family, if no further connexin gene will be discovered in the remaining non-sequenced parts (about 1-5%) of the genomes.     

Prediction of the coding sequences of mouse homologues of KIAA gene: II. The complete nucleotide sequences of 400 mouse KIAA-homologous cDNAs identified by screening of terminal sequences of cDNA clones randomly sampled from size-fractionated libraries.

We have accumulated information of the coding sequences of uncharacterized human genes, which are known as KIAA genes, and the number of these genes exceeds 2000 at present. As an extension of this sequencing project, we recently have begun to accumulate mouse KIAA-homologous cDNAs, because it would be useful to prepare a set of human and mouse homologous cDNA pairs for further functional analysis of the KIAA genes. We herein present the entire sequences of 400 mouse KIAA cDNA clones and 4 novel cDNA clones which were incidentally identified during this project. Most of clones entirely sequenced in this study were selected by computer-assisted analysis of terminal sequences of the cDNAs. The average size of the 404 cDNA sequences reached 5.3 kb and that of the deduced amino acid sequences from these cDNAs was 868 amino acid residues. The results of sequence analyses of these clones showed that single mouse KIAA cDNAs bridged two different human KIAA cDNAs in some cases, which indicated that these two human KIAA cDNAs were derived from single genes although they had been supposed to originate from different genes. Furthermore, we successfully mapped all the mouse KIAA cDNAs along the genome using a recently published mouse genome draft sequence.     

Functional and evolutionary analyses on expressed intronless genes in the mouse genome

Using computational approaches we have identified 2017 expressed intronless genes in the mouse genome. Evolutionary analysis reveals that 56 intronless genes are conserved among the three domains of life--bacteria, archea and eukaryotes. These highly conserved intronless genes were found to be involved in essential housekeeping functions. About 80% of expressed mouse intronless genes have orthologs in eukaryotic genomes only, and thus are specific to eukaryotic organisms. 608 of these genes have intronless human orthologs and 302 of these orthologs have a match in OMIM database. Investigation into these mouse genes will be important in generating mouse models for understanding human diseases.     

Identification of 18 mouse ABC genes and characterization of the ABC superfamily in Mus musculus

ATP-binding cassette (ABC) genes encode a family of transport proteins known to be involved in a number of human genetic diseases. In this study, we characterized the ABC superfamily in Mus musculus through in silico gene identification and mapping and phylogenetic analysis of mouse and human ABC genes. By querying dbEST with amino acid sequences from the conserved ATP-binding domains, we identified and partially sequenced 18 new mouse ABC genes, bringing the total number of mouse ABC genes to 34. Twelve of the new ABC genes were mapped in the mouse genome to the X chromosome and to 10 of the 19 autosomes. Phylogenetic relationships of mouse and human ABC genes were examined with maximum parsimony and neighbor-joining analyses that demonstrated that mouse and human ABC orthologs are more closely related than are mouse paralogs. The mouse ABC genes could be grouped into the seven previously described human ABC subfamilies. Three mouse ABC genes mapped to regions implicated in cholesterol gallstone susceptibility.     

Comparative analysis of processed pseudogenes in the mouse and human genomes

Pseudogenes are important resources in evolutionary and comparative genomics because they provide molecular records of the ancient genes that existed in the genome millions of years ago. We have systematically identified approximately 5000 processed pseudogenes in the mouse genome, and estimated that approximately 60% are lineage specific, created after the mouse and human diverged. In both mouse and human genomes, similar types of genes give rise to many processed pseudogenes. These tend to be housekeeping genes, which are highly expressed in the germ line. Ribosomal-protein genes, in particular, form the largest sub-group. The processed pseudogenes in the mouse occur with a distinctly different chromosomal distribution than LINEs or SINEs - preferentially in GC-poor regions. Finally, the age distribution of mouse-processed pseudogenes closely resembles that of LINEs, in contrast to human, where the age distribution closely follows Alus (SINEs).     

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.     

The mouse antibody heavy chain repertoire is germline-focused and highly variable between inbred strains

The human and mouse antibody repertoires are formed by identical processes, but like all small animals, mice only have sufficient lymphocytes to express a small part of the potential antibody repertoire. In this study, we determined how the heavy chain repertoires of two mouse strains are generated. Analysis of IgM- and IgG-associated VDJ rearrangements generated by high-throughput sequencing confirmed the presence of 99 functional immunoglobulin heavy chain variable (IGHV) genes in the C57BL/6 genome, and inferred the presence of 164 IGHV genes in the BALB/c genome. Remarkably, only five IGHV sequences were common to both strains. Compared with humans, little N nucleotide addition was seen in the junctions of mouse VDJ genes. Germline human IgG-associated IGHV genes are rare, but many murine IgG-associated IGHV genes were unmutated. Together these results suggest that the expressed mouse repertoire is more germline-focused than the human repertoire. The apparently divergent germline repertoires of the mouse strains are discussed with reference to reports that inbred mouse strains carry blocks of genes derived from each of the three subspecies of the house mouse. We hypothesize that the germline genes of BALB/c and C57BL/6 mice may originally have evolved to generate distinct germline-focused antibody repertoires in the different mouse subspecies.     

Physical mapping of the genes for three components of the mouse DNA replication complex: polymerase alpha to the X chromosome, primase p49 subunit to chromosome 10, and primase p58 subunit to chromosome 1

DNA polymerase alpha and primase are two key enzymatic components of the eukaryotic DNA replication complex. In situ hybridization of cloned cDNAs for mouse DNA polymerase alpha and for the two subunits of mouse primase has been utilized to physically map these genes in the mouse genome. The DNA polymerase alpha gene (Pola) was mapped to the mouse X chromosome in region C-D. The gene encoding the p58 subunit of primase (Prim2) was located to mouse chromosome 1 in region A5-B and the p49 subunit gene (Prim1) was found to be on mouse chromosome 10 in the distal part of band D that is close to the telomere. Current knowledge of mouse and human conserved chromosomal regions along with the findings presented here lead to predictions of where the genes for the DNA primase subunits may be found in the human genome: the p58 subunit gene may be on human chromosome 2 and the p49 subunit gene on human chromosome 12. The mapping of Pola to region C-D of the mouse X chromosome adds a new marker in a conserved region between the mouse X chromosome and region Xp21-22.1 of the human X chromosome.     

Cancer gene discovery in mouse and man

The elucidation of the human and mouse genome sequence and developments in high-throughput genome analysis, and in computational tools, have made it possible to profile entire cancer genomes. In parallel with these advances mouse models of cancer have evolved into a powerful tool for cancer gene discovery. Here we discuss the approaches that may be used for cancer gene identification in both human and mouse and discuss how a cross-species ‘oncogenomics’ approach to cancer gene discovery represents a powerful strategy for finding genes that drive tumourigenesis.     

Investigating Different Duplication Pattern of Essential Genes in Mouse and Human

Gene duplication is one of the major driving forces shaping genome and organism evolution and thought to be itself regulated by some intrinsic properties of the gene. Comparing the essential genes among mouse and human, we observed that the essential genes avoid duplication in mouse while prefer to remain duplicated in humans. In this study, we wanted to explore the reasons behind such differences in gene essentiality by cross-species comparison of human and mouse. Moreover, we examined essential genes that are duplicated in humans are functionally more redundant than that in mouse. The proportion of paralog pseudogenization of essential genes is higher in mouse than that of humans. These duplicates of essential genes are under stringent dosage regulation in human than in mouse. We also observed slower evolutionary rate in the paralogs of human essential genes than the mouse counterpart. Together, these results clearly indicate that human essential genes are retained as duplicates to serve as backed up copies that may shield themselves from harmful mutations.     

Features and trend of loss of promoter-associated CpG islands in the human and mouse genomes

CpG islands (CGIs) are often considered as gene markers, but the number of CGIs varies among mammalian genomes that have similar numbers of genes. In this study, we investigated the distribution of CGIs in the promoter regions of 3,197 human-mouse orthologous gene pairs and found that the mouse genome has notably fewer CGIs in the promoter regions and less pronounced CGI characteristics than does the human genome. We further inferred CGI's ancestral state using the dog genome as a reference and examined the nucleotide substitution pattern and the mutational direction in the conserved regions of human and mouse CGIs. The results reveal many losses of CGIs in both genomes but the loss rate in the mouse lineage is two to four times the rate in the human lineage. We found an intriguing feature of CGI loss, namely that the loss of a CGI usually starts from erosion at the both edges and gradually moves towards the center. We found functional bias in the genes that have lost promoter-associated CGIs in the human or mouse lineage. Finally, our analysis indicates that the association of CGIs with housekeeping genes is not as strong as previously estimated. Our study provides a detailed view of the evolution of promoter-associated CGIs in the human and mouse genomes and our findings are helpful for understanding the evolution of mammalian genomes and the role of CGIs in gene function.     

Mapping of 195 genes in cattle and updated comparative map with man, mouse, rat and pig

Our on-going goal is to improve and update the comparative genome organization between cattle and man but also among the most detailed mammalian species genomes i.e. cattle, mouse, rat and pig. In this work, we localized 195 genes in cattle and checked all human/bovine non-concordant localizations found in the literature. Next, we compiled all the genes mapped in cattle, goat, sheep and pig (2,166) for which the human ortholog with its chromosomal position is known, added corresponding data in mouse and rat, and ordered the genes relatively to the human genome sequence. We estimate that our compilation provides bovine mapping information for about 89% of the human autosomes. Thus, a near complete, overall and detailed picture of the number, distribution and extent of bovine conserved syntenies (regardless of gene order) on human R-banded autosomes is proposed as well as a comparison with mouse, rat and pig genomes.     

Global Metabolic Reconstruction and Metabolic Gene Evolution in the Cattle Genome

The sequence of cattle genome provided a valuable opportunity to systematically link genetic and metabolic traits of cattle. The objectives of this study were 1) to reconstruct genome-scale cattle-specific metabolic pathways based on the most recent and updated cattle genome build and 2) to identify duplicated metabolic genes in the cattle genome for better understanding of metabolic adaptations in cattle. A bioinformatic pipeline of an organism for amalgamating genomic annotations from multiple sources was updated. Using this, an amalgamated cattle genome database based on UMD_3.1, was created. The amalgamated cattle genome database is composed of a total of 33,292 genes: 19,123 consensus genes between NCBI and Ensembl databases, 8,410 and 5,493 genes only found in NCBI or Ensembl, respectively, and 266 genes from NCBI scaffolds. A metabolic reconstruction of the cattle genome and cattle pathway genome database (PGDB) was also developed using Pathway Tools, followed by an intensive manual curation. The manual curation filled or revised 68 pathway holes, deleted 36 metabolic pathways, and added 23 metabolic pathways. Consequently, the curated cattle PGDB contains 304 metabolic pathways, 2,460 reactions including 2,371 enzymatic reactions, and 4,012 enzymes. Furthermore, this study identified eight duplicated genes in 12 metabolic pathways in the cattle genome compared to human and mouse. Some of these duplicated genes are related with specific hormone biosynthesis and detoxifications. The updated genome-scale metabolic reconstruction is a useful tool for understanding biology and metabolic characteristics in cattle. There has been significant improvements in the quality of cattle genome annotations and the MetaCyc database. The duplicated metabolic genes in the cattle genome compared to human and mouse implies evolutionary changes in the cattle genome and provides a useful information for further research on understanding metabolic adaptations of cattle.