Combining gene expression and genetic analyses to identify candidate genes involved in cold responses in pea

Cold stress affects plant growth and development. In order to better understand the responses to cold (chilling or freezing tolerance), we used two contrasted pea lines. Following a chilling period, the Champagne line becomes tolerant to frost whereas the Terese line remains sensitive.     

Non-linear tests for identifying differentially expressed genes or genetic networks

MOTIVATION: One of the recently developed statistics for identifying differentially expressed genetic networks is Hotelling T2 statistic, which is a quadratic form of difference in linear functions of means of gene expressions between two types of tissue samples, and so their power is limited. RESULTS: To improve the power of test statistics, a general statistical framework for construction of non-linear tests is presented, and two specific non-linear test statistics that use non-linear transformations of means are developed. Asymptotical distributions of the non-linear test statistics under the null and alternative hypothesis are derived. It has been proved that under some conditions the power of the non-linear test statistics is higher than that of the T2 statistic. Besides theory, to evaluate in practice the performance of the non-linear test statistics, they are applied to two real datasets. The preliminary results demonstrate that the P-values of the non-linear statistics for testing differential expressions of the genetic networks are much smaller than those of the T2 statistic. And furthermore simulations show the Type I errors of the non-linear statistics agree with the threshold used and the statistics fit the chi2 distribution. SUPPLEMENTARY INFORMATION: Supplementary data are available on Bioinformatics online.     

A novel approach for identifying candidate imprinted genes through sequence analysis of imprinted and control genes

Through the sequence analysis of 27 imprinted human genes and a set of 100 control genes we have developed a novel approach for identifying candidate imprinted genes based on the differences in sequence composition observed. The imprinted genes were found to be associated with significantly reduced numbers of short interspersed transposable element (SINE) Alus and mammalian-wide interspersed repeat (MIR) repeat elements, as previously reported. In addition, a significant association between imprinted genes and increased numbers of low-complexity repeats was also evident. Numbers of the Alu classes AluJ and AluS were found to be significantly depleted in some parts of the flanking regions of imprinted genes. A recent study has proposed that there is active selection against SINE elements in imprinted regions. Alternatively, there may be differences in the rates of insertion of Alu elements. Our study indicates that this difference extends both upstream and downstream of the coding region. This and other consistent differences between the sequence characteristics of imprinted and control genes has enabled us to develop discriminant analysis, which can be used to screen the genome for candidate imprinted genes. We have applied this function to a number of genes whose imprinting status is disputed or uncertain.     

Incorporating germination‐induction into decontamination strategies for bacterial spores

Oenococcus oeni is the dominant species able to cope with a hostile environment of wines, comprising cumulative effects of low pH, high ethanol and SO₂ content, nonoptimal growth temperatures and growth inhibitory compounds. Ethanol tolerance is a crucial feature for the activity of O. oeni cells in wine because ethanol acts as a disordering agent of its cell membrane and negatively affects metabolic activity; it damages the membrane integrity, decreases cell viability and, as other stress conditions, delays the start of malolactic fermentation with a consequent alteration of wine quality. The cell wall, cytoplasmic membrane and metabolic pathways are the main sites involved in physiological changes aimed to ensure an adequate adaptive response to ethanol stress and to face the oxidative damage caused by increasing production of reactive oxygen species. Improving our understanding of the cellular impact of ethanol toxicity and how the cell responds to ethanol stress can facilitate the development of strategies to enhance microbial ethanol tolerance; this allows to perform a multidisciplinary endeavour requiring not only an ecological study of the spontaneous process but also the characterization of useful technological and physiological features of the predominant strains in order to select those with the highest potential for industrial applications.     

Back to the sea twice: identifying candidate plant genes for molecular evolution to marine life

Background  

Seagrasses are a polyphyletic group of monocotyledonous angiosperms that have adapted to a completely submerged lifestyle in marine waters. Here, we exploit two collections of expressed sequence tags (ESTs) of two wide-spread and ecologically important seagrass species, the Mediterranean seagrass Posidonia oceanica (L.) Delile and the eelgrass Zostera marina L., which have independently evolved from aquatic ancestors. This replicated, yet independent evolutionary history facilitates the identification of traits that may have evolved in parallel and are possible instrumental candidates for adaptation to a marine habitat.     

Ethnic differences in key candidate genes for spontaneous preterm birth: TNF-alpha and its receptors

OBJECTIVES: Spontaneous preterm birth (PTB) has a significant ethnic disparity with people of African descent having an almost 2-fold higher incidence than those of European descent in the United States. This disparity may be caused by differences in the distribution of genetic risk factors. The objective of this study is to examine genetic differences between African-Americans and European Americans for single nucleotide polymorphisms (SNPs) in candidate genes for PTB. METHODS: We examined patterns of variation in 19 SNPs in 3 candidate genes for preterm birth: TNF-alpha, TNF-receptor 1 and TNF-receptor 2. Allele, genotype and haplotype frequencies were compared between African-Americans (AA) and European-Americans (EA) in cases and controls separately. Both maternal and fetal genotypes were studied, as it is unclear whether one or both of these are important in the etiology of PTB. RESULTS: The vast majority of the SNPs differed significantly between ethnic groups, although there are only a few suggestive results comparing cases and controls within an ethnic group. For TNF-alpha, four of six SNPs; for TNF-R1, 5/6; and for TNF-R2, 6/7 showed significant differences between ethnic groups in either allele and/or genotype frequency. CONCLUSIONS: Our data demonstrate highly significant genetic differences between ethnic groups in genes that may play a role in the risk of PTB.     

Mutagenesis strategies in zebrafish for identifying genes involved in development and disease

It has been nearly a decade since the completion of two large-scale chemical mutagenesis screens in zebrafish, and two years since the completion of a large-scale insertional mutagenesis. In this article, we use the accumulated data from these screens to compare the efficiency of each mutagen to isolate mutants and to identify mutated genes, and argue that the two mutagens target the same set of genes. We then review how both forward genetic screens and reverse genetic techniques, such as morpholinos and TILLING, and transgenics are being used to develop models of human disease.     

BioMercator: integrating genetic maps and QTL towards discovery of candidate genes

SUMMARY: Breeding programs face the challenge of integrating information from genomics and from quantitative trait loci (QTL) analysis in order to identify genomic sequences controlling the variation of important traits. Despite the development of integrative databases, building a consensus map of genes, QTL and other loci gathered from multiple maps remains a manual and tedious task. Nevertheless, this is a critical step to reveal co-locations between genes and QTL. Another important matter is to determine whether QTL linked to same traits or related ones is detected in independent experiments and located in the same region, and represents a single locus or not. Statistical tools such as meta-analysis can be used to answer this question. BioMercator has been developed to automate map compilation and QTL meta-analysis, and to visualize co-locations between genes and QTL through a graphical interface. AVAILABILITY: Available upon request (http://moulon/~bioinfo/BioMercator/). Free of charge for academic use.     

Linkage analysis with candidate genes: the Taiwan young-onset hypertension genetic study

A genetic linkage study of young-onset hypertension was performed on data from 59 nucleus families of Han Chinese residing in Taiwan. Thirty seven microsatellite markers near 18 hypertension candidate genes were genotyped. In a nonparametric identity-by-descent sibpair analysis, a positive linkage signal (defined as P<0.05) was found for four microsatellite markers, viz., D1S1612 (P=0.0162), D1S547 (P=0.0263), D8S 1145 (P= 0.0284), and D17S2193 (P=0.0256), which were located near genes for atrial natriuretic peptide (NPPA)/glucose transporter 5 (SLC2A5), angiotensinogen (AGT), lipoprotein lipase (LPL), and angiotensin-conveting enzyme (DCP1), respectively. Marker D5S1480 located near beta-2-adrenergic receptor (ADRB2) had a borderline P value (P=0.0785) for the positive signal. Comprehensive genotyping with further markers in these regions is underway to confirm whether these genes are linked to young-onset hypertension.     

Association studies in candidate genes: strategies to select SNPs to be tested

OBJECTIVE: When numerous single nucleotide polymorphisms (SNPs) have been identified in a candidate gene, a relevant and still unanswered question is to determine how many and which of these SNPs should be optimally tested to detect an association with the disease. Testing them all is expensive and often unnecessary. Alleles at different SNPs may be associated in the population because of the existence of linkage disequilibrium, so that knowing the alleles carried at one SNP could provide exact or partial knowledge of alleles carried at a second SNP. We present here a method to select the most appropriate subset of SNPs in a candidate gene based on the pairwise linkage disequilibrium between the different SNPs. METHOD: The best subset is identified through power computations performed under different genetic models, assuming that one of the SNPs identified is the disease susceptibility variant. RESULTS: We applied the method on two data sets, an empirical study of the APOE gene region and a simulated study concerning one of the major genes (MG1) from the Genetic Analysis Workshop 12. For these two genes, the sets of SNPs selected were compared to the ones obtained using two other methods that need the reconstruction of multilocus haplotypes in order to identify haplotype-tag SNPs (htSNPs). We showed that with both data sets, our method performed better than the other selection methods.     

Time-course microarray analysis for identifying candidate genes involved in obesity-associated pathological changes in the mouse colon

Background

Obesity is known to increase the risk of colorectal cancer. However, mechanisms underlying the pathogenesis of obesity-induced colorectal cancer are not completely understood. The purposes of this study were to identify differentially expressed genes in the colon of mice with diet-induced obesity and to select candidate genes as early markers of obesity-associated abnormal cell growth in the colon.

Methods

C57BL/6N mice were fed normal diet (11% fat energy) or high-fat diet (40% fat energy) and were euthanized at different time points. Genome-wide expression profiles of the colon were determined at 2, 4, 8, and 12 weeks. Cluster analysis was performed using expression data of genes showing log₂ fold change of ≥1 or ≤?1 (twofold change), based on time-dependent expression patterns, followed by virtual network analysis.

Results

High-fat diet-fed mice showed significant increase in body weight and total visceral fat weight over 12 weeks. Time-course microarray analysis showed that 50, 47, 36, and 411 genes were differentially expressed at 2, 4, 8, and 12 weeks, respectively. Ten cluster profiles representing distinguishable patterns of genes differentially expressed over time were determined. Cluster 4, which consisted of genes showing the most significant alterations in expression in response to high-fat diet over 12 weeks, included Apoa4 (apolipoprotein A-IV), Ppap2b (phosphatidic acid phosphatase type 2B), Cel (carboxyl ester lipase), and Clps (colipase, pancreatic), which interacted strongly with surrounding genes associated with colorectal cancer or obesity.

Conclusions

Our data indicate that Apoa4, Ppap2b, Cel, and Clps are candidate early marker genes associated with obesity-related pathological changes in the colon. Genome-wide analyses performed in the present study provide new insights on selecting novel genes that may be associated with the development of diseases of the colon.

     

Coupling gene chip analyses and rat genetic variances in identifying potential target genes that may contribute to neuropathic allodynia development

Genetic factors and nerve injury-induced changes of gene expression in sensory neurons are potential contributors to tactile allodynia, a neuropathic pain state manifested as hypersensitivity to innocuous mechanical stimulation. To uncover genes relevant to neuropathic allodynia, we analyzed gene expression profiles in dorsal root ganglia (DRG) of spinal nerve-ligated Harlan and Holtzman Sprague Dawley rats, strains with different susceptibilities to neuropathic allodynia. Using Affymetrix gene chips, we identified genes showing differential basal-level expression in these strains without injury-induced regulation. Of more than 8000 genes analyzed, less than 180 genes in each strain were regulated after injury, and 19-22% of that was regulated in a strain-specific manner. Importantly, we identified functionally related genes that were co-regulated post injury in one or both strains. In situ hybridization and real-time PCR analyses of a subset of identified genes confirmed the patterns of the microarray data, and the former also demonstrated that injury-induced changes occurred, not only in neurons, but also in non-neuronal cells. Together, our studies provide a global view of injury plasticity in DRG of these rat stains and support a plasticity-based mechanism mediating variations in allodynia susceptibility, thus providing a source for further characterization of neuropathic pain-relevant genes and potential pathways.     

cDNA microarray analyses reveal candidate marker genes for the detection of ascidian disease in Korea

A serious disease of the ascidian Halocynthia roretzi has been spread extensively among Korean aquaculture sites. To reveal the cause of the disease and establish a monitoring system for it, we constructed a cDNA microarray spotted with 2,688 cDNAs derived from H. roretzi hemocyte cDNA libraries to detect genes differentially expressed in hemocytes between diseased and non-diseased ascidians. We detected 21 genes showing increased expression and 16 genes showing decreased expression in hemocytes from diseased ascidians compared with those from non-diseased ascidians. RT-PCR analyses confirmed that the expression levels of genes encoding astacin, lysozyme, ribosomal protein PO, and ubiquitin-ribosomal protein L40e fusion protein were increased in hemocytes from diseased ascidians, while those of genes encoding HSP40, HSP70, fibronectin, carboxypeptidase and lactate dehydrogenase were decreased. These genes were expressed not only in hemocytes but also in various other tissues in ascidians. Furthermore, the expression of glutathione-S transferase omega, which is known to be up-regulated in H. roretzi hemocytes during inflammatory responses, was strongly increased in hemocytes from diseased ascidians. These gene expression profiles suggest that immune and inflammatory reactions occur in the hemocytes of diseased ascidians. These genes will be good markers for detecting and monitoring this disease of ascidians in Korean aquaculture sites.     

Database of cattle candidate genes and genetic markers for milk production and mastitis

A cattle database of candidate genes and genetic markers for milk production and mastitis has been developed to provide an integrated research tool incorporating different types of information supporting a genomic approach to study lactation, udder development and health. The database contains 943 genes and genetic markers involved in mammary gland development and function, representing candidates for further functional studies. The candidate loci were drawn on a genetic map to reveal positional overlaps. For identification of candidate loci, data from seven different research approaches were exploited: (i) gene knockouts or transgenes in mice that result in specific phenotypes associated with mammary gland (143 loci); (ii) cattle QTL for milk production (344) and mastitis related traits (71); (iii) loci with sequence variations that show specific allele-phenotype interactions associated with milk production (24) or mastitis (10) in cattle; (iv) genes with expression profiles associated with milk production (207) or mastitis (107) in cattle or mouse; (v) cattle milk protein genes that exist in different genetic variants (9); (vi) miRNAs expressed in bovine mammary gland (32) and (vii) epigenetically regulated cattle genes associated with mammary gland function (1). Fourty-four genes found by multiple independent analyses were suggested as the most promising candidates and were further in silico analysed for expression levels in lactating mammary gland, genetic variability and top biological functions in functional networks. A miRNA target search for mammary gland expressed miRNAs identified 359 putative binding sites in 3'UTRs of candidate genes.     

Sea urchin Hox genes: insights into the ancestral Hox cluster

We describe the Hox cluster in the radially symmetric sea urchin and compare our findings to what is known from clusters in bilaterally symmetric animals. Several Hox genes from the direct-developing sea urchin Heliocidaris erythrogramma are described. CHEF gel analysis shows that the Hox genes are clustered on a < or = 300 kilobase (kb) fragment of DNA, and only a single cluster is present, as in lower chordates and other nonvertebrate metazoans. Phylogenetic analyses of sea urchin, amphioxus, Drosophila, and selected vertebrate Hox genes confirm that the H. erythrogramma genes, and others previously cloned from other sea urchins, belong to anterior, central, and posterior groups. Despite their radial body plan and lack of cephalization, echinoderms retain at least one of the anterior group Hox genes, an orthologue of Hox3. The structure of the echinoderm Hox cluster suggests that the ancestral deuterostome had a Hox cluster more similar to the current chordate cluster than was expected Sea urchins have at least three Abd-B type genes, suggesting that Abd-B expansion began before the radiation of deuterostomes.      

Evidence for genetic drift in endosymbionts (Buchnera): analyses of protein-coding genes.

Buchnera, the bacterial endosymbionts of aphids, undergo severe population bottlenecks during maternal transmission through their hosts. Previous studies suggest an increased effect of drift within these strictly asexual, small populations, resulting in an increased fixation of slightly deleterious mutations. This study further explores sequence evolution in Buchnera using three approaches. First, patterns of codon usage were compared across several homologous Escherichia coli and Buchnera loci, in order to test the prediction that selection for the use of optimal codons is less effective in small populations. A chi 2-based measure of codon bias was developed to adjust for the overall A + T richness of silent positions in the endosymbionts. In contrast to E. coli homologues, adaptive codon bias across Buchnera loci is markedly low, and patterns of codon usage lack a strong relationship with gene expression level. These data suggest that codon usage in Buchnera has been shaped largely by mutational pressure and drift rather than by selection for translational efficiency. One exception to the overall lack of bias is groEL, which is known to be constitutively overexpressed in Buchnera and other endosymbionts. Second, relative-rate tests show elevated rates of sequence evolution of numerous protein-coding loci across Buchnera, compared to E. coli. Finally, consistently higher ratios of nonsynonymous to synonymous substitutions in Buchnera loci relative to the enteric bacteria strongly suggest the accumulation of nonsynonymous substitutions in endosymbiont lineages. Combined, these results suggest a decreased effectiveness of purifying selection in purging endosymbiont populations of slightly deleterious mutations, particularly those affecting codon usage and amino acid identity.