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Gene Classes (gene + class)
Selected AbstractsMicroevolutionary support for a developmental hourglass: gene expression patterns shape sequence variation and divergence in DrosophilaEVOLUTION AND DEVELOPMENT, Issue 5 2008Tami Cruickshank SUMMARY A central goal of evolutionary developmental biology (Evo-Devo) is to synthesize comparative molecular developmental genetics and its description of the dynamic relationship between genotype and phenotype with the microevolutionary processes (mutation, random drift, and selection) of population genetics. To this end, we analyzed sequence variation of five gene classes that act sequentially to shape early embryo development in Drosophila: maternal, gap, pair-rule, segment polarity, and segment identity genes. We found two related patterns: (1) a microevolutionary pattern, wherein relative sequence variation within species is 2- to 3-fold higher for maternal-effect genes than for any other gene class; and, (2) a macroevolutionary pattern, wherein the relative sequence divergence among species for maternal-effect genes is 2- to 4-fold greater than for any other gene class. Both patterns are qualitatively and quantitatively consistent with the predictions of microevolutionary theory. Our findings connect within-species genetic variation to between-species divergence and shed light on the controversy over the existence of a "developmental hourglass," where mid-embryonic stages are more evolutionarily constrained than either earlier or later stages. Because maternal-effect genes experience relaxed selective constraint relative to zygotic-effect genes, they explore a wider mutational and phenotypic space. As a result, early acting maternal-effect genes diverge more widely across taxa and thereby broaden the base of the developmental hourglass. In contrast, later acting zygotic genes are relatively more constrained and limited in their diversification across taxa, narrowing the waist of the developmental hourglass. This pattern is obscured by genes with both maternal and zygotic expression, which experience the strongest evolutionary constraint. [source] Cerebellar Gene Expression Profiling and eQTL Analysis in Inbred Mouse Strains Selected for Ethanol SensitivityALCOHOLISM, Issue 9 2005Erik J. MacLaren Background: Inbred Long-Sleep (ILS) and Inbred Short-Sleep (ISS) mice exhibit striking differences in a number of alcohol and drug related behaviors. This study examined the expression levels of more than 39,000 transcripts in these strains in the cerebellum, a major target of ethanol's actions in the CNS, to find differentially expressed (DE) candidate genes for these phenotypes. Methods: Genes that were differentially expressed between the strains were identified using oligonucleotide arrays as well as complimentary DNA arrays. Sequence alignment was used to locate DE genes in the mouse genome assembly. In silico expression QTL (eQTL) mapping was used to identify chromosomal regions likely to control the transcription level of DE genes, and the EASE program identified overrepresented functional themes. The genomic region immediately upstream of the cyclase associated protein homolog 1 (Cap1) gene was directly sequenced from PCR products. Results: Nearly 300 genes were identified as differentially expressed between the cerebella of ILS and ISS. These genes and their corresponding eQTLs map to genomic regions linked to several phenotypes that differ between the ILS and ISS strains, including ethanol preference and cocaine-induced locomotor activation on Chromosomes 4 and 7 respectively. Eight genes were cross-platform validated, four of which are more highly expressed in ILS cerebellum. Three SNPs, one of which disrupts a predicted Sp1 binding site, were found in the upstream region of Cap1, a strong candidate for influencing ethanol phenotypes. Conclusions: Many of these DE genes are candidates to influence ethanol and drug regulated phenotypes because they either map to ethanol related QTLs in the genome or are linked to them through eQTL mapping. Genes involved in calcium ion binding and transcriptional regulation are overrepresented and therefore these gene classes may influence ethanol behaviors in mice and humans. [source] MADS-Box Genes Controlling Flower Development in RicePLANT BIOLOGY, Issue 1 2003F. Fornara Abstract: The separation between monocot and dicot plants occurred about 120 - 180 million years ago and since then major morphological changes have led to the striking differences that can be observed today. To understand whether, despite these differences, the processes controlling flower development are fundamentally comparable in dicot and monocot species, it is necessary to perform comparative studies. However, until recently flower development has been studied mainly in dicot plant species. Genetic and molecular analyses of two dicot model species, Arabidopsis thaliana and Antirrhinum majus, led to the formulation of the ABC model of flower development that describes how the combined activities of three classes of genes are required to drive flower organ development. This model has recently been extended by the inclusion of two other gene classes, namely D and E, which are involved in ovule development, and petal, stamen and carpel development, respectively. Most of the A, B, C, D and E genes identified so far have been shown to encode MADS-box transcription factors. In rice a number of regulatory genes belonging to the MADS-box transcription factor family have been cloned in the last few years and the functions of some of them have been investigated in detail. Here we review the current state of knowledge on rice flower development and focus on MADS-box genes that determine floral organ identity in this species. We compare results obtained in rice with the information known for Arabidopsis and the differences between these two species are discussed. [source] Comparative gene expression analysis reveals a characteristic molecular profile of the superior olivary complexTHE ANATOMICAL RECORD : ADVANCES IN INTEGRATIVE ANATOMY AND EVOLUTIONARY BIOLOGY, Issue 4 2006Hans Gerd Nothwang Abstract The superior olivary complex (SOC) is a very conspicuous structure in the mammalian auditory brainstem. It represents the first binaural processing center and is important for sound localization in the azimuth and in feedback regulation of cochlear function. In order to define molecular determinants of the SOC, which are of potential functional relevance, we have performed a comprehensive analysis of its transcriptome by serial analysis of gene expression in adult rats. Here, we performed a detailed analysis of the SOC's gene expression profile compared to that of two other neural tissues, the striatum and the hippocampus, and with extraocular muscle tissue. This tested the hypothesis that SOC-specific or significantly upregulated transcripts provide candidates for the specific function of auditory neurons. Thirty-three genes were significantly upregulated in the SOC when compared to the two other neural tissues. Thirteen encoded proteins involved in neurotransmission, including action potential propagation, exocytosis, and myelination; five genes are important for the energy metabolism, and five transcripts are unknown or poorly characterized and have yet to be described in the nervous system. The comparison of functional gene classes indicates that the SOC has the highest energy demand of the three neural tissues, yet protein turnover is apparently not increased. This suggests a high energy demand for fueling auditory neurotransmission. Such a demand may have implications on auditory-specific tasks and relate to central auditory processing disorders. Ultimately, these data provide new avenues to foster investigations of auditory function and to advance molecular physiology in the central auditory system. Anat Rec Part A, 2006. © 2006 Wiley-Liss, Inc. [source] Laser capture microdissection for the analysis of gene expression during embryogenesis of ArabidopsisTHE PLANT JOURNAL, Issue 1 2005Stuart Casson Summary It is during embryogenesis that the body plan of the developing plant is established. Analysis of gene expression during embryogenesis has been limited due to the technical difficulty of accessing the developing embryo. Here we demonstrate that laser capture microdissection can be applied to the analysis of embryogenesis. We show how this technique can be used in concert with DNA microarray for the large-scale analysis of gene expression in apical and basal domains of the globular-stage and heart-stage embryo, respectively, when critical events of polarity, symmetry and biochemical differentiation are established. This high resolution spatial analysis shows that up to approximately 65% of the genome is expressed in the developing embryo, and that differential expression of a number of gene classes can be detected. We discuss the validity of this approach for the functional analysis of both published and previously uncharacterized essential genes. [source] | ||||||||||