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Martin Kuiper

Publications and source records attributed to Martin Kuiper.

9 recordsLinked to original sources

Genome-wide screening for cis-regulatory variation using a classical diallel crossing scheme.

Large-scale screening studies carried out to date for genetic variants that affect gene regulation are generally limited to descriptions of differences in allele-specific expression (ASE) detected in vivo. Allele-specific differences in gene expression provide evidence for a model whereby cis-acting genetic variation results in differential expression between alleles. Such gene surveys for regulatory variation are a first step in identifying the specific nucleotide changes that govern gene expression differences, but they leave the underlying mechanisms unexplored. Here, we propose a quantitative genetics approach to perform a genome-wide analysis of ASE differences (GASED). The GASED approach is based on a diallel design that is often used in plant breeding programs to estimate general combining abilities (GCA) of specific inbred lines and to identify high-yielding hybrid combinations of parents based on their specific combining abilities (SCAs). In a context of gene expression, the values of GCA and SCA parameters allow cis- and trans-regulatory changes to be distinguished and imbalances in gene expression to be ascribed to cis-regulatory variation. With this approach, a total of 715 genes could be identified that are likely to carry allelic polymorphisms responsible for at least a 1.5-fold allelic expression difference in a total of 10 diploid Arabidopsis thaliana hybrids. The major strength of the GASED approach, compared to other ASE detection methods, is that it is not restricted to genes with allelic transcript variants. Although a false-positive rate of 9/41 was observed, the GASED approach is a valuable pre-screening method that can accelerate systematic surveys of naturally occurring cis-regulatory variation among inbred lines for laboratory species, such as Arabidopsis, mouse, rat and fruitfly, and economically important crop species, such as corn.

Alleles↗

Genetic dissection of transcriptional regulation by cDNA-AFLP.

This study demonstrates that cDNA-AFLP is a powerful gel-based genome-scale transcript profiling technique to generate quantitative gene expression profiles for eQTL mapping. We used cDNA-AFLP to monitor the relative abundance of 912 transcripts across 50 Arabidopsis thaliana recombinant inbred lines. Estimates for heritability of cDNA-AFLP intensity polymorphisms were high, with a median of 0.30 and an interquartile range of 0.21-0.44. A total of 198 expression polymorphisms were significantly linked to specific chromosomal regions (P < 0.05). Both cis- and trans-acting loci correlated with the variation in gene expression levels were found. Some of the trans-acting loci correlated to multiple expression polymorphisms, suggesting trans-acting alleles with widespread transcriptional effects. Here, we have illustrated that cDNA-AFLP constitutes a powerful transcript profiling method that can be utilized for 'multifactorial genomics' analysis of any plant or animal species for which segregating populations and molecular marker maps are available.

Arabidopsis↗

The Arabidopsis leaf as a model system for investigating the role of cell cycle regulation in organ growth.

The role of cell cycle regulation and cell division in plant growth and organ development is controversial. Some experimental data are most easily interpreted from the 'cellular perspective' that cell division drives growth, whereas other observations are more consistent with the 'organismal perspective' that cell division is merely a consequence of growth, and to a large extent facultative. Here we develop a model of cell cycle regulation in the context of leaf development based on literature, published kinematic analysis, flow-cytometric and transcriptomic data obtained from growing Arabidopsis leaves. We tested this model by comparing the in silico inhibition of the cell cycle progression with the experimental observations of transgenic plants overexpressing the cell cycle inhibitor Arath;KRP2. The model simulates the behaviour of proliferating cells quite well, but is inadequate in describing the effects on expanding cells. This may point to a difference in the nature of the expansion process during the proliferating and non-dividing phase of leaf development.

Arabidopsis↗

Genetic analysis of variation in gene expression in Arabidopsis thaliana.

In Arabidopsis thaliana, significant efforts to determine the extent of genomic variation between phenotypically divergent accessions are under way, but virtually nothing is known about variation at the transcription level. We used microarrays to examine variation in transcript abundance among three inbred lines and two pairs of reciprocal F1 hybrids of the highly self-fertilizing species Arabidopsis. Composite additive genetic effects for gene expression were estimated from pairwise comparisons of the three accessions Columbia (Col), Landsberg erecta (Ler), and Cape Verde Islands (Cvi). For the pair Col and Ler, 27.0% of the 4876 genes exhibited additive genetic effects in their expression (alpha = 0.001) vs. 32.2 and 37.5% for Cvi with Ler and Col, respectively. Significant differential expression ranged from 32.45 down to 1.10 in fold change and typically differed by a factor of 1.56. Maternal or paternal transmission affected only a few genes, suggesting that the reciprocal effects observed in the two crosses analyzed were minimal. Dominance effects were estimated from the comparisons of hybrids with the corresponding midparent value. The percentage of genes showing dominance at the expression level in the F1 hybrids ranged from 6.4 to 21.1% (alpha = 0.001). Breakdown of these numbers of genes according to the magnitude of the dominance ratio revealed heterosis for expression for on average 9% of the genes. Further advances in the genetic analysis of gene expression variation may contribute to a better understanding of its role in affecting quantitative trait variation at the phenotypic level.

Arabidopsis↗

BiNGO: a Cytoscape plugin to assess overrepresentation of gene ontology categories in biological networks.

The Biological Networks Gene Ontology tool (BiNGO) is an open-source Java tool to determine which Gene Ontology (GO) terms are significantly overrepresented in a set of genes. BiNGO can be used either on a list of genes, pasted as text, or interactively on subgraphs of biological networks visualized in Cytoscape. BiNGO maps the predominant functional themes of the tested gene set on the GO hierarchy, and takes advantage of Cytoscape's versatile visualization environment to produce an intuitive and customizable visual representation of the results.

Algorithms↗

The cyclin-dependent kinase inhibitor KRP2 controls the onset of the endoreduplication cycle during Arabidopsis leaf development through inhibition of mitotic CDKA;1 kinase complexes.

Exit from the mitotic cell cycle and initiation of cell differentiation frequently coincides with the onset of endoreduplication, a modified cell cycle during which DNA continues to be duplicated in the absence of mitosis. Although the mitotic cell cycle and the endoreduplication cycle share much of the same machinery, the regulatory mechanisms controlling the transition between both cycles remain poorly understood. We show that the A-type cyclin-dependent kinase CDKA;1 and its specific inhibitor, the Kip-related protein, KRP2 regulate the mitosis-to-endocycle transition during Arabidopsis thaliana leaf development. Constitutive overexpression of KRP2 slightly above its endogenous level only inhibited the mitotic cell cycle-specific CDKA;1 kinase complexes, whereas the endoreduplication cycle-specific CDKA;1 complexes were unaffected, resulting in an increase in the DNA ploidy level. An identical effect on the endoreduplication cycle could be observed by overexpressing KRP2 exclusively in mitotically dividing cells. In agreement with a role for KRP2 as activator of the mitosis-to-endocycle transition, KRP2 protein levels were more abundant in endoreduplicating than in mitotically dividing tissues. We illustrate that KRP2 protein abundance is regulated posttranscriptionally through CDK phosphorylation and proteasomal degradation. KRP2 phosphorylation by the mitotic cell cycle-specific CDKB1;1 kinase suggests a mechanism in which CDKB1;1 controls the level of CDKA;1 activity through regulating KRP2 protein abundance. In accordance with this model, KRP2 protein levels increased in plants with reduced CDKB1;1 activity. Moreover, the proposed model allowed a dynamical simulation of the in vivo observations, validating the sufficiency of the regulatory interactions between CDKA;1, KRP2, and CDKB1;1 in fine-tuning the mitosis-to-endocycle transition.

Arabidopsis↗

Modeling gene and genome duplications in eukaryotes.

Recent analysis of complete eukaryotic genome sequences has revealed that gene duplication has been rampant. Moreover, next to a continuous mode of gene duplication, in many eukaryotic organisms the complete genome has been duplicated in their evolutionary past. Such large-scale gene duplication events have been associated with important evolutionary transitions or major leaps in development and adaptive radiations of species. Here, we present an evolutionary model that simulates the duplication dynamics of genes, considering genome-wide duplication events and a continuous mode of gene duplication. Modeling the evolution of the different functional categories of genes assesses the importance of different duplication events for gene families involved in specific functions or processes. By applying our model to the Arabidopsis genome, for which there is compelling evidence for three whole-genome duplications, we show that gene loss is strikingly different for large-scale and small-scale duplication events and highly biased toward certain functional classes. We provide evidence that some categories of genes were almost exclusively expanded through large-scale gene duplication events. In particular, we show that the three whole-genome duplications in Arabidopsis have been directly responsible for >90% of the increase in transcription factors, signal transducers, and developmental genes in the last 350 million years. Our evolutionary model is widely applicable and can be used to evaluate different assumptions regarding small- or large-scale gene duplication events in eukaryotic genomes.

Arabidopsis↗

Simulating genetic networks made easy: network construction with simple building blocks.

UNLABELLED: We present SIM-plex, a genetic network simulator with a very intuitive interface in which a user can easily specify interactions as simple 'if-then' statements. The simulator is based on the mathematical model of Piecewise Linear Differential Equations (PLDEs). With PLDEs, genetic interactions are approximated as acting in a switch-like manner. AVAILABILITY: The Java program, examples and a tutorial are available at http://www.psb.ugent.be/cbd/ CONTACT: {stcru,makui}@psb.ugent.be

Algorithms↗