Non-clustered Genes Research Articles

Population Genomics of the Maize Pathogen Ustilago maydis: Demographic History and Role of Virulence Clusters in Adaptation.

The tight interaction between pathogens and their hosts results in reciprocal selective forces that impact the genetic diversity of the interacting species. The footprints of this selection differ between pathosystems because of distinct life-history traits, demographic histories, or genome architectures. Here, we studied the genome-wide patterns of genetic diversity of 22 isolates of the causative agent of the corn smut disease, Ustilago maydis, originating from five locations in Mexico, the presumed center of origin of this species. In this species, many genes encoding secreted effector proteins reside in so-called virulence clusters in the genome, an arrangement that is so far not found in other filamentous plant pathogens. Using a combination of population genomic statistical analyses, we assessed the geographical, historical, and genome-wide variation of genetic diversity in this fungal pathogen.We report evidence of two partially admixed subpopulations that are only loosely associated with geographic origin. Using the multiple sequentially Markov coalescent model, we inferred the demographic history of the two pathogen subpopulations over the last 0.5 Myr. We show that both populations experienced a recent strong bottleneck starting around 10,000 years ago, coinciding with the assumed time of maize domestication. Although the genome average genetic diversity is low compared with other fungal pathogens, we estimated that the rate of nonsynonymous adaptive substitutions is three times higher in genes located within virulence clusters compared with nonclustered genes, including nonclustered effector genes. These results highlight the role that these singular genomic regions play in the evolution of this pathogen.

Putative small RNAs controlling detoxification of industrial cyanide-containing wastewaters by Pseudomonas pseudoalcaligenes CECT5344.

The alkaliphilic bacterium Pseudomonas pseudoalcaligenes CECT5344 uses free cyanide and several metal−cyanide complexes as the sole nitrogen source and tolerates high concentrations of metals like copper, zinc and iron, which are present in the jewelry wastewaters. To understand deeply the regulatory mechanisms involved in the transcriptional regulation of cyanide-containing wastewaters detoxification by P. pseudoalcaligenes CECT5344, RNA-Seq has been performed from cells cultured with a cyanide-containing jewelry wastewater, sodium cyanide or ammonium chloride as the sole nitrogen source. Small RNAs (sRNAs) that may have potential regulatory functions under cyanotrophic conditions were identified. In total 20 sRNAs were identified to be differentially expressed when compared the jewelry residue versus ammonium as nitrogen source, 16 of which could be amplified successfully by RT-PCR. As predicted targets of these 16 sRNAs were several components of the nit1C gene cluster encoding the nitrilase NitC essential for cyanide assimilation, the cioAB gene cluster that codes for the cyanide-insensitive cytochrome bd-type terminal oxidase, the medium length-polyhydroxyalkanoates (ml-PHAs) gene cluster, and gene clusters related with a global nitrogen limitation response like those coding for glutamine synthase and urease. Other targets were non-clustered genes (or their products) involved in metal resistance and iron acquisition, such as metal extrusion systems and the ferric uptake regulatory (Fur) protein, and a GntR-like regulatory family member probably involved in the regulation of the cyanide assimilation process in the strain CECT5344. Induction of genes targeted by sRNAs in the jewelry residue was demonstrated by qRT-PCR.

Computational genomic identification and functional reconstitution of plant natural product biosynthetic pathways.

Covering: 2003 to 2016The last decade has seen the first major discoveries regarding the genomic basis of plant natural product biosynthetic pathways. Four key computationally driven strategies have been developed to identify such pathways, which make use of physical clustering, co-expression, evolutionary co-occurrence and epigenomic co-regulation of the genes involved in producing a plant natural product. Here, we discuss how these approaches can be used for the discovery of plant biosynthetic pathways encoded by both chromosomally clustered and non-clustered genes. Additionally, we will discuss opportunities to prioritize plant gene clusters for experimental characterization, and end with a forward-looking perspective on how synthetic biology technologies will allow effective functional reconstitution of candidate pathways using a variety of genetic systems.

Molecular genetics of naringenin biosynthesis, a typical plant secondary metabolite produced by Streptomyces clavuligerus.

BackgroundSome types of flavonoid intermediates seemed to be restricted to plants. Naringenin is a typical plant metabolite, that has never been reported to be produced in prokariotes. Naringenin is formed by the action of a chalcone synthase using as starter 4-coumaroyl-CoA, which in dicotyledonous plants derives from phenylalanine by the action of a phenylalanine ammonia lyase.ResultsA compound produced by Streptomyces clavuligerus has been identified by LC–MS and NMR as naringenin and coelutes in HPLC with a naringenin standard. Genome mining of S. clavuligerus revealed the presence of a gene for a chalcone synthase (ncs), side by side to a gene encoding a P450 cytochrome (ncyP) and separated from a gene encoding a Pal/Tal ammonia lyase (tal). Deletion of any of these genes results in naringenin non producer mutants. Complementation with the deleted gene restores naringenin production in the transformants. Furthermore, naringenin production increases in cultures supplemented with phenylalanine or tyrosine.ConclusionThis is the first time that naringenin is reported to be produced naturally in a prokariote. Interestingly three non-clustered genes are involved in naringenin production, which is unusual for secondary metabolites. A tentative pathway for naringenin biosynthesis has been proposed.Electronic supplementary materialThe online version of this article (doi:10.1186/s12934-015-0373-7) contains supplementary material, which is available to authorized users.

Are clustered genes in the genomes of Arabidopsis and Drosophila regulated differently?

In the eukaryotic genome, genes with similar functions tend to co-localize in close proximity. Such gene clusters together with non-clustered genes constitute a chromatin domain which is a higher order regulatory unit. On a lower level co-expressed genes are regulated by differential activity of transcription factors (TF). We compared genome-wide distributions of TF in gene clusters in the genomes of Drosophila melanogaster and Arabidopsis thaliana. This revealed a significant excess of TF genes in gene clusters of the Arabidopsis genome, whereas in the genome of Drosophila distribution of TF in gene clusters did not differ from stochastic. We speculate that these alternatives could lead to different pathways of regulation of clustered genes in two species and to evolutionary-progressive changes in architecture of regulatory networks, governing the activity of clustered genes in the animal kingdom.

Differential gene expression of ewes varying in tolerance to dietary nitrate1

Ruminants consuming diets with increased concentrations of nitrate (NO(3)(-)) can accumulate nitrite (NO(2)(-)) in the blood, resulting in toxicity. In a previous experiment, ewes identified as highly tolerant to subacute dietary NO(3)(-) were able to consume greater amounts of NO(3)(-) than lowly tolerant ewes without exhibiting signs of toxicity. We hypothesized that highly tolerant and lowly tolerant ewes differ in their ability to metabolize NO(3)(-) and thereby differ in the expression of hepatic genes involved in NO(3)(-) metabolism. Therefore, our objective was to identify hepatic genes differentially expressed between ewes classified as lowly tolerant and highly tolerant after administration of a subacute quantity of dietary NO(3)(-). Analysis of the Bovine Oligonucleotide Microarray data identified 100 oligonucleotides as differentially expressed (P < 0.05) between lowly tolerant and highly tolerant ewes. Functional analysis of the genes associated with these oligonucleotides revealed 2 response clusters of interest: metabolic and stress. Genes of interest within these 2 clusters (n = 17) and nonclustered genes with the greatest fold changes (FC; n = 5) were selected for validation by real-time reverse-transcription PCR. Relative expression, genomic regulation, and FC agreed between microarray and real-time reverse-transcription-PCR analyses, and FC differences (P < 0.05) between lowly tolerant and highly tolerant ewes were confirmed for 12 genes. Metabolic genes that were downregulated (P ≤ 0.032) in lowly tolerant ewes vs. highly tolerant ewes included aldehyde oxidase 1, argininosuccinate lyase, putative steroid dehydrogenase, 6-phosphofructo-2-kinase/fructose-2,6-biphosphatase1, and sterol carrier protein 2. In contrast, the metabolic gene homeobox was upregulated (P = 0.037) in lowly tolerant ewes. The glutathione peroxidase 3 and inter-α (globulin) inhibitor H4 genes in the stress response cluster were upregulated (P ≤ 0.045) in lowly tolerant ewes. Genes with the greatest FC, but did not cluster within the functional analysis included haptoglobin, which was upregulated (P = 0.024) in lowly tolerant ewes, and fatty acid desaturase 2 and thyroid hormone responsive, both of which were downregulated (P ≤ 0.019) in lowly tolerant ewes. Results from this study indicate that hepatic gene expression differs in ewes identified as lowly tolerant and highly tolerant to increased dietary NO(3)(-).

Identification and characterization of a type III secretion system inChlamydophila psittaci

Chlamydiaceae are obligate intracellular Gram-negative bacteria replicating in vacuoles inside eukaryotic cells. It has been proven that most of them possess a type III secretion system (T3SS) allowing them to transfer effector molecules in the host cell. We examined the existence of a T3SS in Chlamydophila psittaci by studying the expression of three essential structural proteins SctW, SctC, and SctN, and one putative effector protein IncA. Immunofluorescence assays showed SctW and IncA to be associated with the bacteria and the inclusion membrane, while SctC and SctN were only localized to the bacteria itself. Immuno electron microscopy could confirm these results for SctW, IncA, and SctC. Unfortunately, SctN was not investigated with this technique. Additionally, we sequenced 14 full-length T3S genes (scc1, sctW, sctJ, sctL, sctR, sctS, scc2, copD1, sctN, sctQ, sctC, incA, ca037, and cadd) and examined the transcription of 26 Cp. psittaci T3S genes namely cluster 1 (scc1, sctW, sctV, sctU), cluster 2 (sctJ, sctL, sctR, sctS, sctT, scc2, copB1, copD1), cluster 3 (sctD, sctN, ca037, sctQ, pkn5, sctC) and non-clustered genes (incA, incC, scc3, copD2, cap1, tarp, ca530, cadd). The gene expression study indicated the T3S structural protein encoding genes to be transcribed from mid-cycle (12-18 h post infection (p.i.)) on. Genes encoding effector proteins and putative T3S related proteins were expressed early (1.5 h-8 h p.i.) or late (>24 h p.i.) during the developmental cycle. We hereby provided evidence for the existence of a T3SS and possible effectors in avian Cp. psittaci.