Cryptic speciation in Fusarium subglutinans

Fusarium isolates that form part of the Gibberella fujikuroi species complex have been classified using either a morphological, biological, or phylogenetic species concept. Problems with the taxonomy of Fusarium species in this complex are mostly experienced when the morphological and biological species concepts are applied. The most consistent identifications are obtained with the phylogenetic species concept. Results from recent studies have presented an example of discordance between the biological and phylogenetic species concepts, where a group of F. subglutinans sensu stricto isolates, i.e., isolates belonging to mating population E of the G. fujikuroi complex, could be sub-divided into more than one phylogenetic lineage. The aim of this study was to determine whether this sub-division represented species divergence or intraspecific diversity in F. subglutinans. For this purpose, we included 29 F. subglutinans isolates belonging to the E-mating population that were collected from either maize or teosinte, from a wide geographic range. DNA sequence data for six nuclear regions in each of these isolates were obtained and used in phylogenetic concordance analyses. These analyses revealed the presence of two major groups representing cryptic species in F. subglutinans. These cryptic species were further sub-divided into a number of smaller groups that appear to be reproductively isolated in nature. This suggests not only that the existing F. subglutinans populations are in the process of divergence, but also that each of the resulting lineages are undergoing separation into distinct taxa. These divergences did not appear to be linked to geographic origin, host, or phenotypic characters such as morphology.     

Endothelial nitric oxide production is tightly coupled to the citrulline–NO cycle

Nitric oxide (NO) is an important vasorelaxant produced along with L-citrulline from L-arginine in a reaction catalyzed by endothelial nitric oxide synthase (eNOS). Previous studies suggested that the recycling of L-citrulline to L-arginine is essential for NO production in endothelial cells. However, there is no direct evidence demonstrating the degree to which the recycling of L-citrulline to L-arginine is coupled to NO production. We hypothesized that the amount of NO formed would be significantly higher than the amount of L-citrulline formed due to the efficiency of L-citrulline recycling via the citrulline-NO cycle. To test this hypothesis, endothelial cells were incubated with [14C]-L-arginine and stimulated by various agents to produce NO. The extent of NO and [14C]-L-citrulline formation were simultaneously determined. NO production exceeded apparent L-citrulline formation of the order of 8 to 1, under both basal and stimulated conditions. As further support, alpha-methyl-DL-aspartate, an inhibitor of argininosuccinate synthase (AS), a component of the citrulline-NO cycle, inhibited NO production in a dose-dependent manner. The results of this study provide evidence for the essential and efficient coupling of L-citrulline recycling, via the citrulline-NO cycle, to endothelial NO production.     

SmgGDS is a guanine nucleotide exchange factor that specifically activates RhoA and RhoC

SmgGDS is an atypical guanine nucleotide exchange factor (GEF) that promotes both cell proliferation and migration and is up-regulated in several types of cancer. SmgGDS has been previously shown to activate a wide variety of small GTPases, including the Ras family members Rap1a, Rap1b, and K-Ras, as well as the Rho family members Cdc42, Rac1, Rac2, RhoA, and RhoB. In contrast, here we show that SmgGDS exclusively activates RhoA and RhoC among a large panel of purified GTPases. Consistent with the well known properties of GEFs, this activation is catalytic, and SmgGDS preferentially binds to nucleotide-depleted RhoA relative to either GDP- or GTPγS-bound forms. However, mutational analyses indicate that SmgGDS utilizes a distinct exchange mechanism compared with canonical GEFs and in contrast to known GEFs requires RhoA to retain a polybasic region for activation. A homology model of SmgGDS highlights an electronegative surface patch and a highly conserved binding groove. Mutation of either area ablates the ability of SmgGDS to activate RhoA. Finally, the in vitro specificity of SmgGDS for RhoA and RhoC is retained in cells. Together, these results indicate that SmgGDS is a bona fide GEF that specifically activates RhoA and RhoC through a unique mechanism not used by other Rho family exchange factors.     

Charting the genetic interaction map of a cell

Genome sequencing projects have revealed a massive catalog of genes and astounding genetic diversity in a variety of organisms. We are now faced with the formidable challenge of assigning functions to thousands of genes, and how to use this information to understand how genes interact and coordinate cell function. Studies indicate that the majority of eukaryotic genes are dispensable, highlighting the extensive buffering of genomes against genetic and environmental perturbations. Such robustness poses a significant challenge to those seeking to understand the wiring diagram of the cell. Genome-scale screens for genetic interactions are an effective means to chart the network that underlies this functional redundancy. A complete atlas of genetic interactions offers the potential to assign functions to most genes identified by whole genome sequencing projects and to delineate a functional wiring diagram of the cell. Perhaps more importantly, mapping genetic networks on a large-scale will shed light on the general principles and rules governing genetic networks and provide valuable information regarding the important but elusive relationship between genotype and phenotype.     

Compensation for a defective interaction of the hsp70 ssq1 with the mitochondrial Fe-S cluster scaffold isu

Ssq1, a specialized yeast mitochondrial Hsp70, plays a critical role in the biogenesis of proteins containing Fe-S clusters through its interaction with Isu, the scaffold on which clusters are built. Two substitutions within the Ssq1 substrate binding cleft, both of which severely reduced affinity for Isu, had very different effects in vivo. Cells expressing Ssq1(F462S), which had no detectable affinity for Isu, are indistinguishable from Deltassq1 cells, underscoring the importance of the Ssq1-Isu1 interaction in vivo. In contrast, cells expressing Ssq1(V472F), whose affinity for Isu is at least 10-fold lower than that of wild-type Ssq1, had only moderately reduced Fe-S enzyme activities and increased iron levels and grew similarly to wild-type cells. Consistent with the reduced affinity for Isu, the ATPase activity of Ssq1(V472F) was stimulated less well than that of Ssq1 upon addition of Isu and Jac1, the J-protein partner of Ssq1. However, higher concentrations of Jac1 or Isu1, which form a stable complex, could compensate for this defect in stimulation of Ssq1(V472F). Expression of Isu1 was up-regulated 10-fold in ssq1(V472F) compared with wild-type cells, suggesting that formation of a Jac1-Isu1 complex can overcome a lowered affinity of Ssq1 for Isu in vivo as well as in vitro.     

Endogenous fluorescence signatures in living pluripotent stem cells change with loss of potency

The therapeutic potential of stem cells is limited by the non-uniformity of their phenotypic state. Thus it would be advantageous to noninvasively monitor stem cell status. Driven by this challenge, we employed multidimensional multiphoton microscopy to quantify changes in endogenous fluorescence occurring with pluripotent stem cell differentiation. We found that global and cellular-scale fluorescence lifetime of human embryonic stem cells (hESC) and murine embryonic stem cells (mESC) consistently decreased with differentiation. Less consistent were trends in endogenous fluorescence intensity with differentiation, suggesting intensity is more readily impacted by nuances of species and scale of analysis. What emerges is a practical and accessible approach to evaluate, and ultimately enrich, living stem cell populations based on changes in metabolism that could be exploited for both research and clinical applications.