Specific Gene Clusters Research Articles

Rapid, multiplex-tandem PCR assay for automated detection and differentiation of toxigenic cyanobacterial blooms

Cyanobacterial blooms are a major water quality issue and potential public health risk in freshwater, marine and estuarine ecosystems globally, because of their potential to produce cyanotoxins. To date, a significant challenge in the effective management of cyanobacterial has been an inability of classical microscopy-based approaches to consistently and reliably detect and differentiate toxic from non-toxic blooms. The potential of cyanobacteria to produce toxins has been linked to the presence of specific biosynthetic gene clusters. Here, we describe the application of a robotic PCR-based assay for the semi-automated and simultaneous detection of toxin biosynthesis genes of each of the toxin classes characterized to date for cyanobacteria [i.e., microcystins (MCYs), nodularins (NODs), cylindrospermopsins (CYNs) and paralytic shellfish toxins (PSTs)/saxitoxins (SXTs)]. We demonstrated high sensitivity and specificity for each assay using well-characterized, cultured isolates, and establish its utility as a quantitative PCR using DNA, clone and cell-based dilution series. In addition, we used 206 field-collected samples and 100 known negative controls to compare the performance of each assay with conventional PCR and direct toxin detection. We report a diagnostic specificity of 100% and a sensitivity of ≥97.7% for each assay.

Towards a new science of secondary metabolism

Secondary metabolites are a reliable and very important source of medicinal compounds. While these molecules have been mined extensively, genome sequencing has suggested that there is a great deal of chemical diversity and bioactivity that remains to be discovered and characterized. A central challenge to the field is that many of the novel or poorly understood molecules are expressed at low levels in the laboratory-such molecules are often described as the 'cryptic' secondary metabolites. In this review, we will discuss evidence that research in this field has provided us with sufficient knowledge and tools to express and purify any secondary metabolite of interest. We will describe 'unselective' strategies that bring about global changes in secondary metabolite output as well as 'selective' strategies where a specific biosynthetic gene cluster of interest is manipulated to enhance the yield of a single product.

The structure of a gene co-expression network reveals biological functions underlying eQTLs.

What are the commonalities between genes, whose expression level is partially controlled by eQTL, especially with regard to biological functions? Moreover, how are these genes related to a phenotype of interest? These issues are particularly difficult to address when the genome annotation is incomplete, as is the case for mammalian species. Moreover, the direct link between gene expression and a phenotype of interest may be weak, and thus difficult to handle. In this framework, the use of a co-expression network has proven useful: it is a robust approach for modeling a complex system of genetic regulations, and to infer knowledge for yet unknown genes. In this article, a case study was conducted with a mammalian species. It showed that the use of a co-expression network based on partial correlation, combined with a relevant clustering of nodes, leads to an enrichment of biological functions of around 83%. Moreover, the use of a spatial statistics approach allowed us to superimpose additional information related to a phenotype; this lead to highlighting specific genes or gene clusters that are related to the network structure and the phenotype. Three main results are worth noting: first, key genes were highlighted as a potential focus for forthcoming biological experiments; second, a set of biological functions, which support a list of genes under partial eQTL control, was set up by an overview of the global structure of the gene expression network; third, pH was found correlated with gene clusters, and then with related biological functions, as a result of a spatial analysis of the network topology.

Comparative Transcriptomic Analysis of Salt Adaptation in Roots of Contrasting Medicago truncatula Genotypes

Evolutionary diversity can be driven by the interaction of plants with different environments. Molecular bases involved in ecological adaptations to abiotic constraints can be explored using genomic tools. Legumes are major crops worldwide and soil salinity is a main stress affecting yield in these plants. We analyzed in the Medicago truncatula legume the root transcriptome of two genotypes having contrasting responses to salt stress: TN1.11, sampled in a salty Tunisian soil, and the reference Jemalong A17 genotype. TN1.11 plants show increased root growth under salt stress as well as a differential accumulation of sodium ions when compared to A17. Transcriptomic analysis revealed specific gene clusters preferentially regulated by salt in root apices of TN1.11, notably those related to the auxin pathway and to changes in histone variant isoforms. Many genes encoding transcription factors (TFs) were also differentially regulated between the two genotypes in response to salt. Among those selected for functional studies, overexpression in roots of the A17 genotype of the bHLH-type TF most differentially regulated between genotypes improved significantly root growth under salt stress. Despite the global complexity of the differential transcriptional responses, we propose that an increase in this bHLH TF expression may be linked to the adaptation of M. truncatula to saline soil environments.

The Pseudomonas aeruginosa Reference Strain PA14 Displays Increased Virulence Due to a Mutation in ladS

Pseudomonas aeruginosa is a pathogen that causes acute and chronic infections in a variety of hosts. The pathogenic potential of P. aeruginosa is strain-dependent. PA14 is a highly virulent strain that causes disease in a wide range of organisms, whereas PAO1 is moderately virulent. Although PA14 carries pathogenicity islands that are absent in PAO1, the presence or absence of specific gene clusters is not predictive of virulence. Here, we show that the virulent strain PA14 has an acquired mutation in the ladS gene. This mutation has a deleterious impact on biofilm, while it results in elevated type III secretion system (T3SS) activity and increased cytotoxicity towards mammalian cells. These phenotypes can be reverted by repairing the ladS mutation on the PA14 genome. The RetS/LadS/GacS signaling cascade is associated with virulence and the switch between acute and chronic infections. RetS is a sensor that down-regulates biofilm formation and up-regulates the T3SS. Mutations in retS are acquired in strains isolated from chronically infected cystic fibrosis patients and lead to hyperbiofilm formation and reduced cytotoxicity. Conversely, the LadS sensor promotes biofilm formation and represses the T3SS. We conclude that the ladS mutation is partly responsible for the high cytotoxicity of PA14, and our findings corroborate the central role of RetS and LadS in the switch between acute and chronic infections. Given the extensive use of the reference strain PA14 in infection and virulence models, the bias caused by the ladS mutation on the observed phenotypes will be crucial to consider in future research.

Comparative Pathobiology of Fungal Pathogens of Plants and Animals

Pathogenic fungi constitute a vast and diverse kingdom of eukaryotic organisms that interact with an equally vast and diverse collection of hosts. Despite this extraordinary diversity, unrelated fungi have strikingly similar needs and interests: nutrient acquisition, growth, niche establishment, and reproduction. To support these activities, fungi have evolved remarkably sophisticated mechanisms for interacting with host organisms, and modulating the speed, timing, and magnitude of these interactions. In the case of opportunistic human fungal pathogens, these mechanisms have often emerged as a consequence of the expansion of specific gene families and clusters that confer flexibility in nutrient acquisition, host recognition, and adhesion. These evolutionary adaptations do not generally support the destruction of the host, but rather, modulate homeostasis in the host to the advantage of the fungus (Figure 1). This scenario is analogous to what happens in plant pathogens as well. Biotrophs, which do not kill their hosts and require living cells for growth, co-opt homeostasis in the host to create an advantage for the fungus. Understanding the mechanisms by which fungi modulate biological activities in both plant and animal hosts remains an area of significant research interest and practical importance. Here, we describe four themes that emerge from a consideration of common mechanisms by which plant and animal fungi resist, subvert, or evade host defenses to ultimately thrive. Figure 1 Tipping the balance for control in host–pathogen interactions; generalized schematic.

Personalized medicine for mucositis: Bayesian networks identify unique gene clusters which predict the response to gamma- d-glutamyl- l-tryptophan (SCV-07) for the attenuation of chemoradiation-induced oral mucositis

Gamma-D-glutamyl-L-tryptophan (SCV-07) demonstrated an overall efficacy signal in ameliorating oral mucositis (OM) in a clinical trial of head and neck cancer patients. However, not all SCV-07-treated subjects responded positively. Here we determined if specific gene clusters could discriminate between subjects who responded to SCV-07 and those who did not. Microarrays were done using peripheral blood RNA obtained at screening and on the last day of radiation from 28 subjects enrolled in the SCV-07 trial. An analytical technique was applied that relied on learned Bayesian networks to identify gene clusters which discriminated between individuals who received SCV-07 and those who received placebo, and which differentiated subjects for whom SCV-07 was an effective OM intervention from those for whom it was not. We identified 107 genes that discriminated SCV-07 responders from non-responders using four models and applied Akaike Information Criteria (AIC) and Bayes Factor (BF) analysis to evaluate predictive accuracy. AIC were superior to BF: the accuracy of predicting placebo vs. treatment was 78% using BF, but 91% using the AIC score. Our ability to differentiate responders from non-responders using the AIC score was dramatic and ranged from 93% to 100% depending on the dataset that was evaluated. Predictive Bayesian networks were identified and functional cluster analyses were performed. A specific 10 gene cluster was a critical contributor to the predictability of the dataset. Our results demonstrate proof of concept in which the application of a genomics-based analytical paradigm was capable of discriminating responders and non-responders for an OM intervention.

Clustered patterns of species origins of nature-derived drugs and clues for future bioprospecting.

Many drugs are nature derived. Low drug productivity has renewed interest in natural products as drug-discovery sources. Nature-derived drugs are composed of dozens of molecular scaffolds generated by specific secondary-metabolite gene clusters in selected species. It can be hypothesized that drug-like structures probably are distributed in selective groups of species. We compared the species origins of 939 approved and 369 clinical-trial drugs with those of 119 preclinical drugs and 19,721 bioactive natural products. In contrast to the scattered distribution of bioactive natural products, these drugs are clustered into 144 of the 6,763 known species families in nature, with 80% of the approved drugs and 67% of the clinical-trial drugs concentrated in 17 and 30 drug-prolific families, respectively. Four lines of evidence from historical drug data, 13,548 marine natural products, 767 medicinal plants, and 19,721 bioactive natural products suggest that drugs are derived mostly from preexisting drug-productive families. Drug-productive clusters expand slowly by conventional technologies. The lack of drugs outside drug-productive families is not necessarily the result of under-exploration or late exploration by conventional technologies. New technologies that explore cryptic gene clusters, pathways, interspecies crosstalk, and high-throughput fermentation enable the discovery of novel natural products. The potential impact of these technologies on drug productivity and on the distribution patterns of drug-productive families is yet to be revealed.

Time-Response Evaluation by Transcriptomics of Methylmercury Effects on Neural Differentiation of Murine Embryonic Stem Cells

Current globally harmonized Organisation for Economic Co-operation and Development (OECD) animal test guidelines for developmental toxicity require high numbers of experimental animals. To reduce animal use in this field, alternative developmental toxicity assays are highly desirable. We previously developed a dynamic in vitro model for screening effects of possible neurodevelopmental toxicants, using neural cell differentiation of pluripotent murine embryonic stem cells. To further mechanistically characterize the mouse neural embryonic stem cell test (ESTn) and to improve detection of possible neurodevelopmental toxicants, gene expression patterns were studied describing neural cell differentiation over time, as well as the impact on gene expression of exposure to the well-known neurotoxicant methylmercury (MeHg). A transcriptomics study was performed to examine whole-genome expression changes during the first 7 days of the cell differentiation protocol. Specific gene clusters were identified and enrichment analysis of Gene Ontology (GO) terms and gene sets derived from literature was performed using DAVID and T-profiler. Over time, a decrease of blastocyst and trophectoderm GO terms was observed, which included well-characterized pluripotency genes. Furthermore, an increase in the range of neural development-related GO terms, such as neuron differentiation and the wnt pathway, was observed. Analysis of gene expression using principle component analysis showed a time-dependent track in untreated cells, describing the process of neural differentiation. Furthermore, MeHg was shown to induce deviation from the predefined differentiation track. The compound inhibited general development GO terms and induced neural GO terms over time. This system appears promising for studying compound effects on neural differentiation in a mechanistic approach.

Targeted metagenomics: a high‐resolution metagenomics approach for specific gene clusters in complex microbial communities

A major research goal in microbial ecology is to understand the relationship between gene organization and function involved in environmental processes of potential interest. Given that more than an estimated 99% of microorganisms in most environments are not amenable to culturing, methods for culture-independent studies of genes of interest have been developed. The wealth of metagenomic approaches allows environmental microbiologists to directly explore the enormous genetic diversity of microbial communities. However, it is extremely difficult to obtain the appropriate sequencing depth of any particular gene that can entirely represent the complexity of microbial metagenomes and be able to draw meaningful conclusions about these communities. This review presents a summary of the metagenomic approaches that have been useful for collecting more information about specific genes. Specific subsets of metagenomes that focus on sequence analysis were selected in each metagenomic studies. This 'targeted metagenomics' approach will provide extensive insight into the functional, ecological and evolutionary patterns of important genes found in microorganisms from various ecosystems.

Characterization of the specific O-polysaccharide structure and biosynthetic gene cluster of Yersinia pseudotuberculosis serotype O:15

Yersinia pseudotuberculosis serotyping scheme contains 21 serotypes based on the distribution of about 30 different O-factors within the species. The chemical structures of LPSs and the genetic basis of their biosynthesis has been determined for a number of Y. pseudotuberculosis strains representing different serotypes; thus, an overall picture of the relationship between genetics and structures is emerging. In this work, we have performed a structural and genetic analysis of the Y. pseudotuberculosis serotype O:15 O-specific polysaccharide. Our results showed that the set-up of the Y. pseudotuberculosis O:15 gene cluster is a hybrid between those of Y. pseudotuberculosis serotypes O:1b and O:5a, possibly due to a single recombination event. The hybrid nature could also be seen in the structure of the O-specific polysaccharide repeating unit pentasaccharide. It contains a tetrameric backbone identical to that of O:5a while the branching paratofuranose residue is identical to that of O:1b.

Molecular characteristics of xenobiotic-degrading sphingomonads

The genus Sphingomonas (sensu latu) belongs to the alpha-Proteobacteria and comprises strictly aerobic chemoheterotrophic bacteria that are widespread in various aquatic and terrestrial environments. The members of this genus are often isolated and studied because of their ability to degrade recalcitrant natural and anthropogenic compounds, such as (substituted) biphenyl(s) and naphthalene(s), fluorene, (substituted) phenanthrene(s), pyrene, (chlorinated) diphenylether(s), (chlorinated) furan(s), (chlorinated) dibenzo-p-dioxin(s), carbazole, estradiol, polyethylene glycols, chlorinated phenols, nonylphenols, and different herbicides and pesticides. The metabolic versatility of these organisms suggests that they have evolved mechanisms to adapt quicker and/or more efficiently to the degradation of novel compounds in the environment than members of other bacterial genera. Comparative analyses demonstrate that sphingomonads generally use similar degradative pathways as other groups of microorganisms but deviate from competing microorganisms by the existence of multiple hydroxylating oxygenases and the conservation of specific gene clusters. Furthermore, there is increasing evidence for the existence of plasmids that only can be disseminated among sphingomonads and which undergo after conjugative transfer pronounced rearrangements.

Analysis of Homologous Gene Clusters inCaenorhabditis elegansReveals Striking Regional Cluster Domains

An algorithm for detecting local clusters of homologous genes was applied to the genome of Caenorhabditis elegans. Clusters of two or more homologous genes are abundant, totaling 1391 clusters containing 4607 genes, over one-fifth of all genes in C. elegans. Cluster genes are distributed unevenly in the genome, with the large majority located on autosomal chromosome arms, regions characterized by higher genetic recombination and more repeat sequences than autosomal centers and the X chromosome. Cluster genes are transcribed at much lower levels than average and very few have gross phenotypes as assayed by RNAi-mediated reduction of function. The molecular identity of cluster genes is unusual, with a preponderance of nematode-specific gene families that encode putative secreted and transmembrane proteins, and enrichment for genes implicated in xenobiotic detoxification and innate immunity. Gene clustering in Drosophila melanogaster is also substantial and the molecular identity of clustered genes follows a similar pattern. I hypothesize that autosomal chromosome arms in C. elegans undergo frequent local gene duplication and that these duplications support gene diversification and rapid evolution in response to environmental challenges. Although specific gene clusters have been documented in C. elegans, their abundance, genomic distribution, and unusual molecular identities were previously unrecognized.

Comparative karyotype analysis in Haplopappus Cass. and Grindelia Willd. (Asteraceae) by double FISH with rRNA specific genes

The genera Grindelia Willd. and Haplopappus Cass. belong to the family Asteraceae - Astereae and are distributed in America and South America, respectively. Previous cytotaxonomic studies showed for South American species of Grindelia 2n=12 and for Haplopappus 2n=10 and 2n=12. Both Grindelia species (G. anethifolia, G. prunelloides), newly analyzed with molecular-cytological methods, exhibited symmetric karyotypes (AsI %=55.46 and 55.95) with metacentric chromosome sets (5m + 1m-sat) and 2n=12 chromosomes. The NOR was detected after fluorescence in situ hybridization (FISH) with 18/25S rDNA in the satellite chromosome 2. In contrast H. Happlopappus glutinosus, H. grindeloides and H. stolpii showed exclusively a higher asymmetric index (66.83%, 67.01% and 68.87%, respectively) with submetacentric chromosome sets (4sm + 1sm–sat). The sat-chromosomes 3 of H. glutinosus and H. grindelioides were both significantly different in their length from chromosomes 2 and 4. Furthermore in Grindelia the FISH with 5S rDNA could estimate signals in the short arms of chromosomes 3 or 4, that were not significantly differentiated in their length. Contrary to these findings in Grindelia, the position of 5S rDNA in Haplopappus was detected in the long arms of chromosome 1 (H. grindelioides and H. stolpii) and chromosome 2 (with two different loci) and chromosome 4 of H. glutinosus. The lengths of all measured chromosome arms with 5S rDNA were significantly different to those of the neighbours in the karyotypes. The two-color FISH of 5S and 18/25S rDNA had provided clear karyotypic markers for three (Haplopappus glutinosus) and two (H. grindelioides and H. stolpii) chromosomes. The number and position of rDNA signals were relatively highly conserved in the investigated five species without the double marked chromosome 2 of H. glutinosus, which shows an evolutionary dynamic of this 5S rRNA specific gene cluster. This investigation supports the assumption that the evolution of New World members of Grindelia and Haplopappus has not been accompanied by large karyotypic changes, but small chromosomal rearrangements have undoubtedly occurred (e.g. 5S rDNA localizations).

Meiotic recombination between paralogous RBCSB genes on sister chromatids of Arabidopsis thaliana.

Paralogous genes organized as a gene cluster can rapidly evolve by recombination between misaligned paralogs during meiosis, leading to duplications, deletions, and novel chimeric genes. To model unequal recombination within a specific gene cluster, we utilized a synthetic RBCSB gene cluster to isolate recombinant chimeric genes resulting from meiotic recombination between paralogous genes on sister chromatids. Several F1 populations hemizygous for the synthRBCSB1 gene cluster gave rise to Luc+ F2 plants at frequencies ranging from 1 to 3 x 10(-6). A nonuniform distribution of recombination resolution sites resulted in the biased formation of recombinant RBCS3B/1B::LUC genes with nonchimeric exons. The positioning of approximately half of the mapped resolution sites was effectively modeled by the fractional length of identical DNA sequences. In contrast, the other mapped resolution sites fit an alternative model in which recombination resolution was stimulated by an abrupt transition from a region of relatively high sequence similarity to a region of low sequence similarity. Thus, unequal recombination between paralogous RBCSB genes on sister chromatids created an allelic series of novel chimeric genes that effectively resulted in the diversification rather than the homogenization of the synthRBCSB1 gene cluster.

Meiotic Recombination Between Paralogous RBCSB Genes on Sister Chromatids of Arabidopsis thaliana

Abstract Paralogous genes organized as a gene cluster can rapidly evolve by recombination between misaligned paralogs during meiosis, leading to duplications, deletions, and novel chimeric genes. To model unequal recombination within a specific gene cluster, we utilized a synthetic RBCSB gene cluster to isolate recombinant chimeric genes resulting from meiotic recombination between paralogous genes on sister chromatids. Several F1 populations hemizygous for the synthRBCSB1 gene cluster gave rise to Luc+ F2 plants at frequencies ranging from 1 to 3 × 10-6. A nonuniform distribution of recombination resolution sites resulted in the biased formation of recombinant RBCS3B/1B::LUC genes with nonchimeric exons. The positioning of approximately half of the mapped resolution sites was effectively modeled by the fractional length of identical DNA sequences. In contrast, the other mapped resolution sites fit an alternative model in which recombination resolution was stimulated by an abrupt transition from a region of relatively high sequence similarity to a region of low sequence similarity. Thus, unequal recombination between paralogous RBCSB genes on sister chromatids created an allelic series of novel chimeric genes that effectively resulted in the diversification rather than the homogenization of the synthRBCSB1 gene cluster.

IKKα, IKKβ, and NEMO/IKKγ Are Each Required for the NF-κB-mediated Inflammatory Response Program

The IKKbeta and NEMO/IKKgamma subunits of the NF-kappaB-activating signalsome complex are known to be essential for activating NF-kappaB by inflammatory and other stress-like stimuli. However, the IKKalpha subunit is believed to be dispensable for the latter responses and instead functions as an in vivo mediator of other novel NF-kappaB-dependent and -independent functions. In contrast to this generally accepted view of IKKalpha's physiological functions, we demonstrate in mouse embryonic fibroblasts (MEFs) that, akin to IKKbeta and NEMO/IKKgamma, IKKalpha is also a global regulator of tumor necrosis factor alpha- and IL-1-responsive IKK signalsome-dependent target genes including many known NF-kappaB targets such as serum amyloid A3, C3, interleukin (IL)-6, IL-11, IL-1 receptor antagonist, vascular endothelial growth factor, Ptx3, beta(2)-microglobulin, IL-1alpha, Mcp-1 and -3, RANTES (regulated on activation normal T cell expressed and secreted), Fas antigen, Jun-B, c-Fos, macrophage colony-stimulating factor, and granulocyte-macrophage colony-stimulating factor. Only a small number of NF-kappaB-dependent target genes were preferentially dependent on IKKalpha or IKKbeta. Constitutive expression of a trans-dominant IkappaBalpha superrepressor (IkappaBalphaSR) in wild type MEFs confirmed that these signalsome-dependent target genes were also dependent on NF-kappaB. A subset of NF-kappaB target genes were IKK-dependent in the absence of exogenous stimuli, suggesting that the signalsome was also required to regulate basal levels of activated NF-kappaB in established MEFs. Overall, a sizable number of novel NF-kappaB/IKK-dependent genes were identified including Secreted Frizzled, cadherin 13, protocadherin 7, CCAAT/enhancer-binding protein-beta and -delta, osteoprotegerin, FOXC2 and FOXF2, BMP-2, p75 neurotrophin receptor, caspase-11, guanylate-binding proteins 1 and 2, ApoJ/clusterin, interferon (alpha and beta) receptor 2, decorin, osteoglycin, epiregulin, proliferins 2 and 3, stromal cell-derived factor, and cathepsins B, F, and Z. SOCS-3, a negative effector of STAT3 signaling, was found to be an NF-kappaB/IKK-induced gene, suggesting that IKK-mediated NF-kappaB activation can coordinately illicit negative effects on STAT signaling.

Exopolysaccharides produced by Lactococcus lactis: from genetic engineering to improved rheological properties?

Over the last years, important advances have been made in the study of the production of exopolysaccharides (EPS) by several lactic acid bacteria, including Lactococcus lactis. From different EPS-producing lactococcal strains the specific eps gene clusters have been characterised. They contain eps genes, which are involved in EPS repeating unit synthesis, export, polymerisation, and chain length determination. The function of the glycosyltransferase genes has been established and the availability of these genes opened the way to EPS engineering. In addition to the eps genes, biosynthesis of EPS requires a number of housekeeping genes that are involved in the metabolic pathways leading to the EPS-building blocks, the nucleotide sugars. The identification and characterisation of several of these housekeeping genes (galE, galU, rfbABCD) allows the design of metabolic engineering strategies that should lead to increased EPS production levels by L. lactis. Finally, model development has been initiated in order to predict the physicochemical consequences of the addition of a EPS to a product.

Molecular Cloning and Chromosomal Mapping of Olfactory Receptor Genes Expressed in the Male Germ Line: Evidence for Their Wide Distribution in the Human Genome

Olfactory receptor genes constitute the largest family of G protein-coupled receptors. We have previously shown that members of this family are expressed during spermatogenesis, and that the corresponding proteins are displayed on mature sperm cells. In each mammalian species, a restricted subset of olfactory receptors is expressed in male germ cells and displays a pattern of expression suggestive of their potential implication in the control of sperm physiology. In addition to the cDNA fragments available previously, we now report the molecular cloning of two olfactory receptor cDNAs from a human testis library. Five olfactory receptor genes expressed in germ cells were localized in the human genome by radiation hybrid mapping. Three of the genes map to the short arm of chromosome 19 (19p13.1-19p31.3), one to chromosome 11 (11q22.1-22.3), and one to chromosome 17 (17q21-22). The former two localizations fall within clusters previously identified for members of the putative olfactory receptor gene family expressed in olfactory mucosa. Similarly, sequence analysis has revealed that these testicular genes share no distinctive structural features from the other, non-testicular, members of the family. The expression of a subset of olfactory receptor genes in the male germ line is therefore not correlated to their belonging to a specific structural subgroup, or to a specific gene cluster or chromosomal segment.

Computer assisted promoter analysis of a human sperm specific nucleoprotein gene cluster

The promoter regions of the clustered human spermatid-specific nucleoprotein PRM1, PRM2 arid TNP2 genes were compared to define regulatory elements that may govern their expression. Sequence alignment revealed two wll conserved motifs, despite a lack of extensive homology. They are located at similar positions within the first 400 nt of their 5' UTRs. Conservation of these motifs may reflect selective evolutionary pressure to maintain their structure. This supports the view that these elements assume a central role in the coordinate regulation of this gene cluster during spermiogenesis. The distribution of binding sites of known transcription factors was also assessed within the regions flanking the 5' ends of these genes. This analysis should prove useful in directing studies that define the signals necessary for the coordinate regulation of this spermatid specific gene cluster.