Role of conserved transmembrane cationic amino acids in the prostaglandin transporter PGT

The prostaglandin transporter "PGT" interacts electrostatically with its anionic substrate, based on inhibition by the disulfonic stilbenes [Chan, B. S. (1998) J. Biol. Chem. 273, 6689-6697], inhibition by the thiol-reactive anion sodium (2-sulfonatoethyl)methanethiosulfonate (MTSES) [Chan, B. S. (1999) J. Biol. Chem. 274, 25564-25570], and the requirement for a negatively charged 1-position carboxyl on the substrate [Itoh, S. (1996) Mol. Pharm. 50, 736-742]. Here we found that modification of positively charged residues on wild-type PGT by arginine- and lysine-specific reagents significantly inhibited transport. We previously found that the binding site of PGT is formed, at least in part, by its membrane-spanning segments [Chan, B. S. (1999) J. Biol. Chem. 274, 25564-25570]. Three charged residues within predicted transmembrane spans (E78, R560, and K613) are conserved in PGT and in related transporters. Substitution of the anionic residue E78 (E78D and E78C) produced an essentially functional transporter, whereas substitution of the cationic residues with neutral residues (R560N and K613Q) resulted in poorly functional transporters. Immunoblotting revealed similar expression levels of wild-type and mutant transporters, and immunostaining indicated correct targeting. Conservative charge substitutions (R560K, K613R, and K613H) resulted in generally functional transporters. In contrast, R560N was nonfunctional, whereas the substrate affinity of K613G decreased greater than 50-fold. Conservative substitutions retaining the charge at position 613 (K613R and K613H) restored the substrate affinity, suggesting a direct role of K613 in substrate binding. Double-neutral mutants E78G/R560C and E78G/K613C were inactive, indicating that these residues are not simply charge-paired. Our results suggest that an arginine at position 560 is critical for maximal substrate translocation, and that a positively charged side chain at position 613 contributes to electrostatic binding of the anionic substrate.     

Legumes mitigate ecological consequences of a topographic gradient in a northern Mongolian steppe

Topography should create spatial variation in water and nutrients and play an especially important role in the ecology of water-limited systems. We use stable isotopes to discern how plants respond both to ecological gradients associated with elevation and to neighboring legumes on a south-facing slope in the semi-arid, historically grazed steppe of northern Mongolia. Out of three target species, Potentilla acaulis, Potentilla sericea, and Festuca lenensis, when >30 cm from a legume, all showed a decrease in leaf δ¹⁵N with increasing elevation. This, together with measures of soil δ¹⁵N, suggests greater N processing at the moister, more productive, lower elevation, and more N fixation at the upper elevation, where cover of legumes and lichens and plant-available nitrate were greater. Total soil N was greater at the lower elevation, but not lichen biomass or root colonization by AMF. Leaf δ¹³C values for P. acaulis and F. lenensis are consistent with increasing water stress with elevation; δ¹³C values indicated the greatest intrinsic water use efficiency for P. sericea, which is more abundant at the upper elevation. Nearby legumes (<10 cm) moderate the effect of elevation on leaf δ¹⁵N, confirming legumes’ meaningful input of N, and affect leaf δ¹³C for two species, suggesting an influence on the efficiency of carbon fixation. Variation in leaf %N and %C as a function of elevation and proximity to a legume differs among species. Apparently, most N input is at upper elevations, pointing to the possible importance of grazers, in addition to hydrological processes, as transporters of N throughout this landscape.     

Phylogeny and taxonomy of species in the Grosmannia serpens complex

Grosmannia serpens was first described from pine in Italy in 1936 and it has been recorded subsequently from many countries in both the northern and southern hemispheres. The fungus is vectored primarily by root-infesting bark beetles and has been reported to contribute to pine-root diseases in Italy and South Africa. The objective of this study was to consider the identity of a global collection of isolates not previously available and using DNA sequence-based comparisons not previously applied to most of these isolates. Phylogenetic analyses of the ITS2-LSU, actin, beta-tubulin, calmodulin and translation elongation factor-1 alpha sequences revealed that these morphologically similar isolates represent a complex of five cryptic species. Grosmannia serpens sensu stricto thus is redefined and comprises only isolates from Italy including the ex-type isolate. The ex-type isolate of Verticicladiella alacris was shown to be distinct from G. serpens, and a new holomorphic species, G. alacris, is described. The teleomorph state of G. alacris was obtained through mating studies in the laboratory, confirming that this species is heterothallic. Most of the available isolates, including those from South Africa, USA, France, Portugal and some from Spain, represent G. alacris. The remaining three taxa, known only in their anamorph states, are described as the new species Leptographium gibbsii for isolates from the UK, L. yamaokae for isolates from Japan and L. castellanum for isolates from Spain and the Dominican Republic.     

Enhanced expression of lipogenic genes may contribute to hyperglycemia and alterations in plasma lipids in response to dietary iron deficiency

Iron deficiency (ID) remains a public health concern affecting ~25% of the world’s population. Metabolic consequences of ID include elevated plasma glucose concentrations consistent with increased reliance on glucose as a metabolic substrate, though the mechanisms controlling these responses remain unclear. To further characterize the metabolic response to ID, weanling male Sprague–Dawley rats were fed either a control (C; 40 mg Fe/kg diet) or iron-deficient (ID; 3 mg Fe/kg diet) diet or were pair-fed (PF) the C diet to the level of intake of the ID group for 21 days. In addition to reductions in hemoglobin, hematocrit, and plasma iron, the ID group also exhibited higher percent body fat and plasma triglycerides compared to the PF group. Steady-state levels of both plasma glucose and insulin increased 40 and 45%, respectively, in the ID group compared to the PF group. Plasma cortisol levels were decreased 67% in the ID group compared to the PF diet group. The systematic evaluation of the expression of genes involved in insulin signaling, glucose metabolism, and fatty acid metabolism in the liver and skeletal muscle revealed significant alterations in the expression of 48 and 52 genes in these tissues, respectively. A significant concurrent increase in lipogenic gene expression and decrease in gene expression related to β-oxidation in both the liver and skeletal muscle, in combination with differential tissue expression of genes involved in glucose metabolism, provides novel insight into the adaptive metabolic response in rodent models of severe iron deficiency anemia.     

A high‐throughput method to quantify feeding rates in aquatic organisms: A case study with Daphnia

1. Food ingestion is one of the most basic features of all organisms. However, obtaining precise—and high‐throughput—estimates of feeding rates remains challenging, particularly for small, aquatic herbivores such as zooplankton, snails, and tadpoles. These animals typically consume low volumes of food that are time‐consuming to accurately measure.
2. We extend a standard high‐throughput fluorometry technique, which uses a microplate reader and 96‐well plates, as a practical tool for studies in ecology, evolution, and disease biology. We outline technical and methodological details to optimize quantification of individual feeding rates, improve accuracy, and minimize sampling error.
3. This high‐throughput assay offers several advantages over previous methods, including i) substantially reduced time allotments per sample to facilitate larger, more efficient experiments; ii) technical replicates; and iii) conversion of in vivo measurements to units (mL^‐1 hr^‐1 ind^‐1) which enables broad‐scale comparisons across an array of taxa and studies.
4. To evaluate the accuracy and feasibility of our approach, we use the zooplankton, Daphnia dentifera, as a case study. Our results indicate that this procedure accurately quantifies feeding rates and highlights differences among seven genotypes.
5. The method detailed here has broad applicability to a diverse array of aquatic taxa, their resources, environmental contaminants (e.g., plastics), and infectious agents. We discuss simple extensions to quantify epidemiologically relevant traits, such as pathogen exposure and transmission rates, for infectious agents with oral or trophic transmission.

     

Genetic risk score analysis indicates migraine with and without comorbid depression are genetically different disorders

Migraine and major depressive disorder (MDD) are comorbid, moderately heritable and to some extent influenced by the same genes. In a previous paper, we suggested the possibility of causality (one trait causing the other) underlying this comorbidity. We present a new application of polygenic (genetic risk) score analysis to investigate the mechanisms underlying the genetic overlap of migraine and MDD. Genetic risk scores were constructed based on data from two discovery samples in which genome-wide association analyses (GWA) were performed for migraine and MDD, respectively. The Australian Twin Migraine GWA study (N = 6,350) included 2,825 migraine cases and 3,525 controls, 805 of whom met the diagnostic criteria for MDD. The RADIANT GWA study (N = 3,230) included 1,636 MDD cases and 1,594 controls. Genetic risk scores for migraine and for MDD were used to predict pure and comorbid forms of migraine and MDD in an independent Dutch target sample (NTR–NESDA, N = 2,966), which included 1,476 MDD cases and 1,058 migraine cases (723 of these individuals had both disorders concurrently). The observed patterns of prediction suggest that the ‘pure’ forms of migraine and MDD are genetically distinct disorders. The subgroup of individuals with comorbid MDD and migraine were genetically most similar to MDD patients. These results indicate that in at least a subset of migraine patients with MDD, migraine may be a symptom or consequence of MDD.     

A detailed analysis of chromosomal changes in heritable and non-heritable retinoblastoma

Summary Full cytogenetic analysis of 27 different retinoblastoma tumors is presented. Gross aneuploidy of chromosome arms 6p and 1q were very common, being observed in 15/27 and 21/27 tumors, respectively. However, we found that chromosome 13 was rarely missing: only 3/27 had a detectable monosomy affecting 13q14. Monosomy of chromosome 13 by small deletion or rearrangement was also not observed in any of 12 retinoblastoma tumor lines analyzed detail at the 300–400 chromosome band level. A novel observation in retinoblastoma was the discovery of non-random translocations at three specific breakpoints, 14q32 (4/12), 17p12 (5/12), and 10q25 (3/12). Genomic rearrangements similar to those described involving C-myc in Burkitt lymphoma 14q+ cells could not be demonstrated in the four 14q+ retinoblastoma lines using molecular techniques, and a probe mapping to the site implicated to have an activating role in lymphoma. These data suggest that there is a target for rearrangement at 14q32 but it is not the same sequence used in some Burkitt lymphomas. Two other breakpoints (2p24 and 8q24) coincided with the mapped position of cellular oncogenes, but also failed to show a molecular rearrangement with the oncogene probes. The breakpoints, 10q25 and 17p12, are constitutional fragile sites which may predispose these regions to act as acceptors of translocations in malignant cells. One line had double minute chromosomes, and was the only one of 16 (6%) tested with the N-myc probe which had an amplification. Different tumors from single patients with multifocal heritable retinoblastoma showed independent karyotype evolution. Unilateral non-heritable tumors exhibited a high level of karyotype stability throughout both in vivo and in vitro growth. The various common patterns of aneuploidy and translocations probably confer an early selective advantage to malignant cells, rather than induce malignant transformation.     

Structural and mutational characterization of L-carnitine binding to human carnitine acetyltransferase

We report the crystal structure of a binary complex of human peroxisomal carnitine acetyltransferase and the substrate l-carnitine, refined to a resolution of 1.8 Angstrom with an R(factor) value of 18.9% (R(free)=22.3%). L-carnitine binds to a preformed pocket in the active site tunnel of carnitine acetyltransferase aligned with His(322). The quaternary nitrogen of carnitine forms a pi-cation interaction with Phe(545), while Arg(497) forms an electrostatic interaction with the negatively charged carboxylate group. An extensive hydrogen bond network also occurs between the carboxylate group and Tyr(431), Thr(444), and a bound water molecule. Site-directed mutagenesis and kinetic characterization reveals that Tyr(431), Thr(444), Arg(497), and Phe(545) are essential for high affinity binding of L-carnitine.     

Unsupervised Clustering of Subcellular Protein Expression Patterns in High-Throughput Microscopy Images Reveals Protein Complexes and Functional Relationships between Proteins

Protein subcellular localization has been systematically characterized in budding yeast using fluorescently tagged proteins. Based on the fluorescence microscopy images, subcellular localization of many proteins can be classified automatically using supervised machine learning approaches that have been trained to recognize predefined image classes based on statistical features. Here, we present an unsupervised analysis of protein expression patterns in a set of high-resolution, high-throughput microscope images. Our analysis is based on 7 biologically interpretable features which are evaluated on automatically identified cells, and whose cell-stage dependency is captured by a continuous model for cell growth. We show that it is possible to identify most previously identified localization patterns in a cluster analysis based on these features and that similarities between the inferred expression patterns contain more information about protein function than can be explained by a previous manual categorization of subcellular localization. Furthermore, the inferred cell-stage associated to each fluorescence measurement allows us to visualize large groups of proteins entering the bud at specific stages of bud growth. These correspond to proteins localized to organelles, revealing that the organelles must be entering the bud in a stereotypical order. We also identify and organize a smaller group of proteins that show subtle differences in the way they move around the bud during growth. Our results suggest that biologically interpretable features based on explicit models of cell morphology will yield unprecedented power for pattern discovery in high-resolution, high-throughput microscopy images.