264 research outputs found

    Mapping of the Saccharomyces cerevisiae CDC3 , CDC25 , and CDC42 genes to chromosome XII by chromosome blotting and tetrad analysis

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    CDC3 , CDC25 and CDC42 were localized to chromosome XII by hybridizing the cloned genes to Southern blots of chromosomes separated by orthogonal-field-alternation gel electrophoresis. Meiotic tetrad analyses further localized these genes to the region distal to the RDN1 locus on the right arm of the chromosome. The STE11 gene, which had previously been mapped to chromosome XII (Chaleff and Tatchell, 1985), was found to be tightly linked to ILV5 . The data suggest a map order of CEN12 - RDN1 - CDC42 -( CDC25 - CDC3 )-( ILV5 - STE11 )- URA4 . Certain oddities of the data set raise the possibility that there may be constraints on the patterns of recombination in this region of chromosome XII.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/38512/1/320030405_ftp.pd

    Fragilities Caused by Dosage Imbalance in Regulation of the Budding Yeast Cell Cycle

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    Cells can maintain their functions despite fluctuations in intracellular parameters, such as protein activities and gene expression levels. This commonly observed biological property of cells is called robustness. On the other hand, these parameters have different limitations, each reflecting the property of the subsystem containing the parameter. The budding yeast cell cycle is quite fragile upon overexpression of CDC14, but is robust upon overexpression of ESP1. The gene products of both CDC14 and ESP1 are regulated by 1∶1 binding with their inhibitors (Net1 and Pds1), and a mathematical model predicts the extreme fragility of the cell cycle upon overexpression of CDC14 and ESP1 caused by dosage imbalance between these genes. However, it has not been experimentally shown that dosage imbalance causes fragility of the cell cycle. In this study, we measured the quantitative genetic interactions of these genes by performing combinatorial “genetic tug-of-war” experiments. We first showed experimental evidence that dosage imbalance between CDC14 and NET1 causes fragility. We also showed that fragility arising from dosage imbalance between ESP1 and PDS1 is masked by CDH1 and CLB2. The masking function of CLB2 was stabilization of Pds1 by its phosphorylation. We finally modified Chen's model according to our findings. We thus propose that dosage imbalance causes fragility in biological systems

    Transcript analysis of the extended hyp-operon in the cyanobacteria Nostoc sp. strain PCC 7120 and Nostoc punctiforme ATCC 29133

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    <p>Abstract</p> <p>Background</p> <p>Cyanobacteria harbor two [NiFe]-type hydrogenases consisting of a large and a small subunit, the Hup- and Hox-hydrogenase, respectively. Insertion of ligands and correct folding of nickel-iron hydrogenases require assistance of accessory maturation proteins (encoded by the <it>hyp</it>-genes). The intergenic region between the structural genes encoding the uptake hydrogenase (<it>hupSL</it>) and the accessory maturation proteins (<it>hyp </it>genes) in the cyanobacteria <it>Nostoc </it>PCC 7120 and <it>N. punctiforme </it>were analysed using molecular methods.</p> <p>Findings</p> <p>The five ORFs, located in between the uptake hydrogenase structural genes and the <it>hyp</it>-genes, can form a transcript with the <it>hyp</it>-genes. An identical genomic localization of these ORFs are found in other filamentous, N<sub>2</sub>-fixing cyanobacterial strains. In <it>N. punctiforme </it>and <it>Nostoc </it>PCC 7120 the ORFs upstream of the <it>hyp</it>-genes showed similar transcript level profiles as <it>hupS </it>(hydrogenase structural gene), <it>nifD </it>(nitrogenase structural gene), <it>hypC </it>and <it>hypF </it>(accessory hydrogenase maturation genes) after nitrogen depletion. <it>In silico </it>analyzes showed that these ORFs in <it>N. punctiform</it>e harbor the same conserved regions as their homologues in <it>Nostoc </it>PCC 7120 and that they, like their homologues in <it>Nostoc </it>PCC 7120, can be transcribed together with the <it>hyp</it>-genes forming a larger extended <it>hyp-</it>operon. DNA binding studies showed interactions of the transcriptional regulators CalA and CalB to the promoter regions of the extended <it>hyp</it>-operon in <it>N. punctiforme </it>and <it>Nostoc </it>PCC 7120.</p> <p>Conclusions</p> <p>The five ORFs upstream of the <it>hyp</it>-genes in several filamentous N<sub>2</sub>-fixing cyanobacteria have an identical genomic localization, in between the genes encoding the uptake hydrogenase and the maturation protein genes. In <it>N. punctiforme </it>and <it>Nostoc </it>PCC 7120 they are transcribed as one operon and may form transcripts together with the <it>hyp</it>-genes. The expression pattern of the five ORFs within the extended <it>hyp</it>-operon in both <it>Nostoc punctiforme </it>and <it>Nostoc </it>PCC 7120 is similar to the expression patterns of <it>hupS</it>, <it>nifD</it>, <it>hypF </it>and <it>hypC</it>. CalA, a known transcription factor, interacts with the promoter region between <it>hupSL </it>and the five ORFs in the extended <it>hyp</it>-operon in both <it>Nostoc </it>strains.</p

    Differences in Cell Division Rates Drive the Evolution of Terminal Differentiation in Microbes

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    Multicellular differentiated organisms are composed of cells that begin by developing from a single pluripotent germ cell. In many organisms, a proportion of cells differentiate into specialized somatic cells. Whether these cells lose their pluripotency or are able to reverse their differentiated state has important consequences. Reversibly differentiated cells can potentially regenerate parts of an organism and allow reproduction through fragmentation. In many organisms, however, somatic differentiation is terminal, thereby restricting the developmental paths to reproduction. The reason why terminal differentiation is a common developmental strategy remains unexplored. To understand the conditions that affect the evolution of terminal versus reversible differentiation, we developed a computational model inspired by differentiating cyanobacteria. We simulated the evolution of a population of two cell types –nitrogen fixing or photosynthetic– that exchange resources. The traits that control differentiation rates between cell types are allowed to evolve in the model. Although the topology of cell interactions and differentiation costs play a role in the evolution of terminal and reversible differentiation, the most important factor is the difference in division rates between cell types. Faster dividing cells always evolve to become the germ line. Our results explain why most multicellular differentiated cyanobacteria have terminally differentiated cells, while some have reversibly differentiated cells. We further observed that symbioses involving two cooperating lineages can evolve under conditions where aggregate size, connectivity, and differentiation costs are high. This may explain why plants engage in symbiotic interactions with diazotrophic bacteria

    Induction of epigenetic variation in Arabidopsis by over-expression of DNA METHYLTRANSFERASE1 (MET1)

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    Epigenetic marks such as DNA methylation and histone modification can vary among plant accessions creating epi-alleles with different levels of expression competence. Mutations in epigenetic pathway functions are powerful tools to induce epigenetic variation. As an alternative approach, we investigated the potential of over-expressing an epigenetic function, using DNA METHYLTRANSFERASE1 (MET1) for proof-of-concept. In Arabidopsis thaliana, MET1 controls maintenance of cytosine methylation at symmetrical CG positions. At some loci, which contain dense DNA methylation in CG- and non-CG context, loss of MET1 causes joint loss of all cytosines methylation marks. We find that over-expression of both catalytically active and inactive versions of MET1 stochastically generates new epi-alleles at loci encoding transposable elements, non-coding RNAs and proteins, which results for most loci in an increase in expression. Individual transformants share some common phenotypes and genes with altered gene expression. Altered expression states can be transmitted to the next generation, which does not require the continuous presence of the MET1 transgene. Long-term stability and epigenetic features differ for individual loci. Our data show that over-expression of MET1, and potentially of other genes encoding epigenetic factors, offers an alternative strategy to identify epigenetic target genes and to create novel epi-alleles

    Defining the genotypic and phenotypic spectrum of X-linked MSL3-related disorder

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    PURPOSE: We sought to delineate the genotypic and phenotypic spectrum of female and male individuals with X-linked, MSL3-related disorder (Basilicata-Akhtar syndrome). METHODS: Twenty-five individuals (15 males, 10 females) with causative variants in MSL3 were ascertained through exome or genome sequencing at ten different sequencing centers. RESULTS: We identified multiple variant types in MSL3 (ten nonsense, six frameshift, four splice site, three missense, one in-frame-deletion, one multi-exon deletion), most proven to be de novo, and clustering in the terminal eight exons suggesting that truncating variants in the first five exons might be compensated by an alternative MSL3 transcript. Three-dimensional modeling of missense and splice variants indicated that these have a deleterious effect. The main clinical findings comprised developmental delay and intellectual disability ranging from mild to severe. Autism spectrum disorder, muscle tone abnormalities, and macrocephaly were common as well as hearing impairment and gastrointestinal problems. Hypoplasia of the cerebellar vermis emerged as a consistent magnetic resonance image (MRI) finding. Females and males were equally affected. Using facial analysis technology, a recognizable facial gestalt was determined. CONCLUSION: Our aggregated data illustrate the genotypic and phenotypic spectrum of X-linked, MSL3-related disorder (Basilicata-Akhtar syndrome). Our cohort improves the understanding of disease related morbidity and allows us to propose detailed surveillance guidelines for affected individuals
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