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1.
Dev Biol ; 376(1): 99-112, 2013 Apr 01.
Article in English | MEDLINE | ID: mdl-23333947

ABSTRACT

Here we characterize the response of the Drosophila segmentation system to mutations in two gap genes, Kr and kni, in the form of single or double homozygotes and single heterozygotes. Segmentation gene expression in these genotypes was quantitatively monitored with cellular resolution in space and 6.5 to 13min resolution in time. As is the case with wild type, we found that gene expression domains in the posterior portion of the embryo shift to the anterior over time. In certain cases, such as the gt posterior domain in Kr mutants, the shifts are significantly larger than is seen in wild type embryos. We also investigated the effects of Kr and kni on the variability of gene expression. Mutations often produce variable phenotypes, and it is well known that the cuticular phenotype of Kr mutants is variable. We sought to understand the molecular basis of this effect. We find that throughout cycle 14A the relative levels of eve and ftz expression in stripes 2 and 3 are variable among individual embryos. Moreover, in Kr and kni mutants, unlike wild type, the variability in positioning of the posterior Hb domain and eve stripe 7 is not decreased or filtered with time. The posterior Gt domain in Kr mutants is highly variable at early times, but this variability decreases when this domain shifts in the anterior direction to the position of the neighboring Kni domain. In contrast to these findings, positional variability throughout the embryo does not decrease over time in double Kr;kni mutants. In heterozygotes the early expression patterns of segmentation genes resemble patterns seen in homozygous mutants but by the onset of gastrulation they become similar to the wild type patterns. Finally, we note that gene expression levels are reduced in Kr and kni mutant embryos and have a tendency to decrease over time. This is a surprising result in view of the role that mutual repression is thought to play in the gap gene system.


Subject(s)
Body Patterning/physiology , Drosophila Proteins/metabolism , Drosophila/embryology , Drosophila/metabolism , Gene Expression Regulation, Developmental/physiology , Kruppel-Like Transcription Factors/metabolism , Phenotype , Repressor Proteins/metabolism , Analysis of Variance , Animals , Body Patterning/genetics , Drosophila/genetics , Drosophila Proteins/genetics , Fushi Tarazu Transcription Factors/metabolism , Gene Expression Profiling , Gene Expression Regulation, Developmental/genetics , Homeodomain Proteins/metabolism , Kruppel-Like Transcription Factors/genetics , Microscopy, Confocal , Mutation/genetics , Repressor Proteins/genetics , Transcription Factors/metabolism
2.
BMC Syst Biol ; 5: 118, 2011.
Article in English | MEDLINE | ID: mdl-21794172

ABSTRACT

BACKGROUND: Extensive variation in early gap gene expression in the Drosophila blastoderm is reduced over time because of gap gene cross regulation. This phenomenon is a manifestation of canalization, the ability of an organism to produce a consistent phenotype despite variations in genotype or environment. The canalization of gap gene expression can be understood as arising from the actions of attractors in the gap gene dynamical system. RESULTS: In order to better understand the processes of developmental robustness and canalization in the early Drosophila embryo, we investigated the dynamical effects of varying spatial profiles of Bicoid protein concentration on the formation of the expression border of the gap gene hunchback. At several positions on the anterior-posterior axis of the embryo, we analyzed attractors and their basins of attraction in a dynamical model describing expression of four gap genes with the Bicoid concentration profile accounted as a given input in the model equations. This model was tested against a family of Bicoid gradients obtained from individual embryos. These gradients were normalized by two independent methods, which are based on distinct biological hypotheses and provide different magnitudes for Bicoid spatial variability. We showed how the border formation is dictated by the biological initial conditions (the concentration gradient of maternal Hunchback protein) being attracted to specific attracting sets in a local vicinity of the border. Different types of these attracting sets (point attractors or one dimensional attracting manifolds) define several possible mechanisms of border formation. The hunchback border formation is associated with intersection of the spatial gradient of the maternal Hunchback protein and a boundary between the attraction basins of two different point attractors. We demonstrated how the positional variability for hunchback is related to the corresponding variability of the basin boundaries. The observed reduction in variability of the hunchback gene expression can be accounted for by specific geometrical properties of the basin boundaries. CONCLUSION: We clarified the mechanisms of gap gene expression canalization in early Drosophila embryos. These mechanisms were specified in the case of hunchback in well defined terms of the dynamical system theory.


Subject(s)
Blastoderm/metabolism , Drosophila melanogaster/embryology , Drosophila melanogaster/genetics , Gene Expression Regulation, Developmental , Genes, Insect/genetics , Models, Genetic , Animals , DNA-Binding Proteins/genetics , Drosophila Proteins/genetics , Drosophila melanogaster/metabolism , Genotype , Homeodomain Proteins/metabolism , Phenotype , Time Factors , Trans-Activators/metabolism , Transcription Factors/genetics
3.
Bioinformatics ; 25(3): 346-52, 2009 Feb 01.
Article in English | MEDLINE | ID: mdl-19052059

ABSTRACT

MOTIVATION: Currently the confocal scanning microscopy of fluorescently tagged molecules is extensively employed to acquire quantitative data on gene expression at cellular resolution. Following this approach, we generated a large dataset on the expression of segmentation genes in the Drosophila blastoderm, that is widely used in systems biology studies. As data accuracy is of critical importance for the success of studies in this field, we took a shot to evaluate possible errors introduced in the data by acquisition and processing methods. This article deals with errors introduced by confocal microscope. RESULTS: In confocal imaging, the inevitable photon noise is commonly reduced by the averaging of multiple frames. The averaging may introduce errors into the data, if single frames are clipped by microscope hardware. A method based on censoring technique is used to estimate and correct this type of errors. Additional source of errors is the quantification of blurred images. To estimate and correct these errors, the Richardson-Lucy deconvolution method was modified to provide the higher accuracy of data read off from blurred images of the Drosophila blastoderm. We have found that the sizes of errors introduced by confocal imaging make up approximately 5-7% of the mean intensity values and do not disguise the dynamic behavior and characteristic features of gene expression patterns. We also defined a range of microscope parameters for the acquisition of sufficiently accurate data. AVAILABILITY: http://urchin.spbcas.ru/downloads/step/step.htm


Subject(s)
Drosophila/genetics , Gene Expression , Image Processing, Computer-Assisted/methods , Microscopy, Confocal/methods , Animals , Blastoderm/metabolism , Drosophila/metabolism , Gene Expression Profiling/methods , Genes, Insect , Regression Analysis
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