Reshaping of global gene expression networks and sex-biased gene expression by integration of a young gene

New genes originate frequently across diverse taxa. Given that genetic networks are typically comprised of robust, co-evolved interactions, the emergence of new genes raises an intriguing question: how do new genes interact with pre-existing genes? Here, we show that a recently originated gene rapidly evolved new gene networks and impacted sex-biased gene expression in Drosophila. This 4–6 million-year-old factor, named Zeus for its role in male fecundity, originated through retroposition of a highly conserved housekeeping gene, Caf40. Zeus acquired male reproductive organ expression patterns and phenotypes. Comparative expression profiling of mutants and closely related species revealed that Zeus has recruited a new set of downstream genes, and shaped the evolution of gene expression in germline. Comparative ChIP-chip revealed that the genomic binding profile of Zeus diverged rapidly from Caf40. These data demonstrate, for the first time, how a new gene quickly evolved novel networks governing essential biological processes at the genomic level.     

Computing gene expression data with a knowledge-based gene clustering approach

Computational analysis methods for gene expression data gathered in microarray experiments can be used to identify the functions of previously unstudied genes. While obtaining the expression data is not a difficult task, interpreting and extracting the information from the datasets is challenging. In this study, a knowledge-based approach which identifies and saves important functional genes before filtering based on variability and fold change differences was utilized to study light regulation. Two clustering methods were used to cluster the filtered datasets, and clusters containing a key light regulatory gene were located. The common genes to both of these clusters were identified, and the genes in the common cluster were ranked based on their coexpression to the key gene. This process was repeated for 11 key genes in 3 treatment combinations. The initial filtering method reduced the dataset size from 22,814 probes to an average of 1134 genes, and the resulting common cluster lists contained an average of only 14 genes. These common cluster lists scored higher gene enrichment scores than two individual clustering methods. In addition, the filtering method increased the proportion of light responsive genes in the dataset from 1.8% to 15.2%, and the cluster lists increased this proportion to 18.4%. The relatively short length of these common cluster lists compared to gene groups generated through typical clustering methods or coexpression networks narrows the search for novel functional genes while increasing the likelihood that they are biologically relevant.     

Tumor-specific gene expression patterns with gene expression profiles

Gene expression profiles of 14 common tumors and their counterpart normal tissues were analyzed with machine learning methods to address the problem of selection of tumor-specific genes and analysis of their differential expressions in tumor tissues. First, a variation of the Relief algorithm, “RFE_Relief algorithm” was proposed to learn the relations between genes and tissue types. Then, a support vector machine was employed to find the gene subset with the best classification performance for distinguishing cancerous tissues and their counterparts. After tissue-specific genes were removed, cross validation experiments were employed to demonstrate the common deregulated expressions of the selected gene in tumor tissues. The results indicate the existence of a specific expression fingerprint of these genes that is shared in different tumor tissues, and the hallmarks of the expression patterns of these genes in cancerous tissues are summarized at the end of this paper.     

Tumor-specific gene expression patterns with gene expression profiles

Gene expression profiles of 14 common tumors and their counterpart normal tissues were analyzed with machine learning methods to address the problem of selection of tumor-specific genes and analysis of their differential expressions in tumor tissues. First, a variation of the Relief algorithm, "RFE_Relief algorithm" was proposed to learn the relations between genes and tissue types. Then, a support vector machine was employed to find the gene subset with the best classification performance for distinguishing cancerous tissues and their counterparts. After tissue-specific genes were removed, cross validation experiments were employed to demonstrate the common deregulated expressions of the selected gene in tumor tissues. The results indicate the existence of a specific expression fingerprint of these genes that is shared in different tumor tissues, and the hallmarks of the expression patterns of these genes in cancerous tissues are summarized at the end of this paper.     

Developing a systems-level understanding of gene expression

A report on the meeting 'Systems Biology: Global Regulation of Gene Expression' at the Cold Spring Harbor Laboratory, New York, USA, 28 March-1 April 2007.     

Latent expression of a Cgamma gene.

Rabbit 136 represented the first instance whereby more than two alleles for any immunoglobulin locus are detected phenotypically in a single animal. This was reported as the acquisition of the a2 and b6 markers in the animal nominally typed a1a3, b4b5 after intensive immunization. Follow-up studies indicate that another immunoglobulin marker, notably d11, also appeared in the postimmune serum. The d11 specificity was detected serologically by the hemagglutination-inhibition assay and chemically by analysis of the CNBr digestion products involving a strategic methionine.     

Functional mapping of a trans-activating gene required for expression of a baculovirus delayed-early gene

The temporal regulation of an early gene of the baculovirus Autographa californica nuclear polyhedrosis virus was examined. We constructed a plasmid (plasmid 39CAT) in which the bacterial gene for chloramphenicol acetyltransferase was placed under the control of the promoter for the gene for a A. californica nuclear polyhedrosis virus 39,000-dalton protein (39K). A transient expression assay of plasmid 39CAT revealed that the 39K gene was expressed in infected cells but not in uninfected cells, indicating that the 39K gene should be classified as a delayed-early gene. The 39K promoter also efficiently directed the synthesis of chloramphenicol acetyltransferase when the plasmid was cotransfected with viral DNA which had been restricted with several restriction enzymes. To map the location of the gene(s) required for the synthesis of 39K, plasmid 39CAT was cotransfected with purified restriction fragments of A. californica nuclear polyhedrosis virus DNA. Fragments which mapped between 90.7 and 100.8 map units induced plasmid 39CAT. Plasmid pEcoRI-B, containing EcoRI fragment B (90 to 100 map units), activated plasmid 39CAT. Functional mapping of plasmid pEcoRI-B indicated that the essential region was located between 95.0 and 97.5 map units. The 5' end of this gene was mapped, and the chloramphenicol acetyltransferase gene was inserted under the control of its promoter. Transient assay experiments indicated that the trans-acting regulatory gene was expressed in uninfected cells and is therefore an immediate-early gene. This gene was named IE-1.     

Agrobacterium-mediated transient expression in citrus leaves: a rapid tool for gene expression and functional gene assay

In this study, we present a method for transient expression of the type III effector AvrGf1 from Xanthomonas citri subsp. citri strain A^w in grapefruit leaves (Citrus paradisi) via Agrobacterium tumefaciens. The coding sequence of avrGf1 was placed under the control of the constitutive CaMV 35S promoter in the binary vectors pGWB2 and pGWB5. Infiltration of grapefruit leaves with A. tumefaciens carrying these constructs triggered a hypersensitive response (HR) in grapefruit 4 days after inoculation. When transiently expressed in grapefruit leaves, two mutants, AvrGf1ΔN116 and AvrGf1ΔC83, failed to induce an HR. Moreover, using bioinformatics tools, a chloroplast transit signal was predicted at the N terminus of AvrGf1. We demonstrated chloroplast localization by using an AvrGf1::GFP fusion protein, where confocal images revealed that GFP fluorescence was accumulating in the stomatal cells that are abundant in chloroplasts. Transient expression in citrus has the potential for aiding in the development of new disease defense strategies in citrus.     

A heterozygot expression of a 'recessive' gene?

An individual affected with severe bone reductions of the upper limbs, apparently due to an autosomal recessive gene, had eight normal children and then a child with absence of the right thumb and the correspondent metacarpal. This is supposed to be the result of a mild expression of the postulated gene in heterozygous state.     

Reduced opsin gene expression in a cave-dwelling fish

Regressive evolution of structures associated with vision in cave-dwelling organisms is the focus of intense research. Most work has focused on differences between extreme visual phenotypes: sighted, surface animals and their completely blind, cave-dwelling counterparts. We suggest that troglodytic systems, comprising multiple populations that vary along a gradient of visual function, may prove critical in understanding the mechanisms underlying initial regression in visual pathways. Gene expression assays of natural and laboratory-reared populations of the Atlantic molly (Poecilia mexicana) revealed reduced opsin expression in cave-dwelling populations compared with surface-dwelling conspecifics. Our results suggest that the reduction in opsin expression in cave-dwelling populations is not phenotypically plastic but reflects a hardwired system not rescued by exposure to light during retinal ontogeny. Changes in opsin gene expression may consequently represent a first evolutionary step in the regression of eyes in cave organisms.     

Sequence and expression of a halobacterial beta-galactosidase gene

Studies of gene expression in haloarchaea have been greatly hindered by the lack of a convenient reporter gene. In a previous study, a beta-galactosidase from Haloferax alicantei was purified and several peptide sequences determined. The peptide sequences have now been used to clone the entire beta-galactosidase gene (designated bgaH) along with some flanking chromosomal DNA. The deduced amino acid sequence of BgaH was 665 amino acids (74 kDa) and showed greatest amino acid similarity to members of glycosyl hydrolase family 42 [classification of Henrissat, B., and Bairoch, A. (1993) New families in the classification of glycosyl hydrolases based on amino acid sequence similarities. Biochem J 293: 781-788]. Within this family, BgaH was most similar (42-43% aa identity) to enzymes from extremely thermophilic bacteria such as Thermotoga and Thermus. Family 42 enzymes are only distantly related to the Sulfolobus LacS and Escherichia coli LacZ enzymes (families one and two respectively). Three open reading frames (ORFs) upstream of bgaH were readily identified by database searches as glucose-fructose oxidoreductase, 2-dehydro-3-deoxyphosphogluconate aldolase and 2-keto-3-deoxygluconate kinase, enzymes that are also involved in carbohydrate metabolism. Downstream of bgaH there was an ORF which contained a putative fibronectin III motif. The bgaH gene was engineered into a halobacterial plasmid vector and introduced into Haloferax volcanii, a widely used strain that lacks detectable beta-galactosidase activity. Transformants were shown to express the enzyme; colonies turned blue when sprayed with Xgal and enzyme activity could be easily quantitated using a standard ONPG assay. In an accompanying publication, Patenge et al. (2000) have demonstrated the utility of bgaH as a promoter reporter in Halobacterium salinarum.