Elevated CO22 and Leaf Longevity in the C44 Grassland-Dominant Andropogon gerardii

In central U.S. grasslands, plant and ecosystem responses to elevated CO2 are most pronounced when water availability is limited. In a northeast Kansas grassland, responses to elevated CO2 in leaf area, number, development, and longevity were quantified for the tallgrass prairie dominant, Andropogon gerardii. Plants were grown in open-top chambers (OTCs) modified to limit water availability and to maximize responses to elevated CO2. In OTCs with elevated (x2 ambient) levels of CO2, aboveground biomass production and leaf water potentials were increased significantly compared with those of plants in OTCs with ambient CO2. There were no differences in leaf area or leaf number per tiller in A. gerardii in elevated compared with ambient OTCs. However, leaf area in adjacent unchambered plots with greater water availability was significantly higher than in the OTCs. The time required for developing leaves to achieve maximum leaf area was reduced by 29%, and the period of time until leaves senesced was increased by 20% for plants exposed to elevated compared with ambient CO2. Thus, leaves of this C4 grass species expanded more rapidly (6 d) and remained green longer (9 d) when exposed to elevated CO2. Such CO2-mediated increases in leaf longevity in the dominant species may allow this grassland to respond more opportunistically to temporally variable rainfall patterns in high-CO2 environments. These responses should be included in leaf-based simulation models that attempt to mechanistically link physiological alterations to predicted canopy responses to increased CO2.     

Novel polymorphisms in <Emphasis Type="Italic">HLA-DOA</Emphasis> and <Emphasis Type="Italic">HLA-DOB</Emphasis> in B-cell malignancies

In B cells, HLA-DO controls HLA-DM-mediated peptide loading on MHC class II molecules. We analyzed whether HLA-DO mutations are associated with autoimmune diseases characterized by an autoantibody component and with a linkage to HLA-DR or HLA-DQ. These diseases include systemic lupus erythematosus, rheumatoid arthritis, celiac disease, and Graves' disease. In addition, several B-cell leukemias were screened for mutations in HLA-DO. A limited number of polymorphisms in DOA and DOB were found, most of which are non-coding changes or result in a conserved amino acid change. A novel non-conserved Arg to Cys mutation in DOA was found in a patient suffering from chronic lymphocytic leukemia. Further analysis did not reveal any effect on the function of HLA-DO. We conclude that HLA-DO variants are not critically involved in the autoimmune diseases and B-cell leukemias studied here.     

Molecular cloning and characterization of glucanase inhibitor proteins: coevolution of a counterdefense mechanism by plant pathogens

A characteristic plant response to microbial attack is the production of endo-beta-1,3-glucanases, which are thought to play an important role in plant defense, either directly, through the degradation of beta-1,3/1,6-glucans in the pathogen cell wall, or indirectly, by releasing oligosaccharide elicitors that induce additional plant defenses. We report the sequencing and characterization of a class of proteins, termed glucanase inhibitor proteins (GIPs), that are secreted by the oomycete Phytophthora sojae, a pathogen of soybean, and that specifically inhibit the endoglucanase activity of their plant host. GIPs are homologous with the trypsin class of Ser proteases but are proteolytically nonfunctional because one or more residues of the essential catalytic triad is absent. However, specific structural features are conserved that are characteristic of protein-protein interactions, suggesting a mechanism of action that has not been described previously in plant pathogen studies. We also report the identification of two soybean endoglucanases: EGaseA, which acts as a high-affinity ligand for GIP1; and EGaseB, with which GIP1 does not show any association. In vitro, GIP1 inhibits the EGaseA-mediated release of elicitor-active glucan oligosaccharides from P. sojae cell walls. Furthermore, GIPs and soybean endoglucanases interact in vivo during pathogenesis in soybean roots. GIPs represent a novel counterdefensive weapon used by plant pathogens to suppress a plant defense response and potentially function as important pathogenicity determinants.     

The zyxin-related protein TRIP6 interacts with PDZ motifs in the adaptor protein RIL and the protein tyrosine phosphatase PTP-BL

The small adaptor protein RIL consists of two segments, the C-terminal LIM and the N-terminal PDZ domain, which mediate multiple protein-protein interactions. The RIL LIM domain can interact with PDZ domains in the protein tyrosine phosphatase PTP-BL and with the PDZ domain of RIL itself. Here, we describe and characterise the interaction of the RIL PDZ domain with the zyxin-related protein TRIP6, a protein containing three C-terminal LIM domains. The second LIM domain in TRIP6 is sufficient for a strong interaction with RIL. A weaker interaction with the third LIM domain in TRIP6, including the proper C-terminus, is also evident. TRIP6 also interacts with the second out of five PDZ motifs in PTP-BL. For this interaction to occur both the third LIM domain and the proper C-terminus are necessary. RNA expression analysis revealed overlapping patterns of expression for TRIP6, RIL and PTP-BL, most notably in tissues of epithelial origin. Furthermore, in transfected epithelial cells TRIP6 can be co-precipitated with RIL and PTP-BL PDZ polypeptides, and a co-localisation of TRIP6 and RIL with Factin structures is evident. Taken together, PTP-BL, RIL and TRIP6 may function as components of multi-protein complexes at actin-based sub-cellular structures.     

C. elegans Model Identifies Genetic Modifiers of α-Synuclein Inclusion Formation During Aging

Inclusions in the brain containing α-synuclein are the pathological hallmark of Parkinson's disease, but how these inclusions are formed and how this links to disease is poorly understood. We have developed a C. elegans model that makes it possible to monitor, in living animals, the formation of α-synuclein inclusions. In worms of old age, inclusions contain aggregated α- synuclein, resembling a critical pathological feature. We used genome-wide RNA interference to identify processes involved in inclusion formation, and identified 80 genes that, when knocked down, resulted in a premature increase in the number of inclusions. Quality control and vesicle-trafficking genes expressed in the ER/Golgi complex and vesicular compartments were overrepresented, indicating a specific role for these processes in α-synuclein inclusion formation. Suppressors include aging-associated genes, such as sir-2.1/SIRT1 and lagr-1/LASS2. Altogether, our data suggest a link between α-synuclein inclusion formation and cellular aging, likely through an endomembrane-related mechanism. The processes and genes identified here present a framework for further study of the disease mechanism and provide candidate susceptibility genes and drug targets for Parkinson's disease and other α-synuclein related disorders.     

C. elegans Model Identifies Genetic Modifiers of ��-Synuclein Inclusion Formation During Aging

Inclusions in the brain containing α-synuclein are the pathological hallmark of Parkinson''s disease, but how these inclusions are formed and how this links to disease is poorly understood. We have developed a C. elegans model that makes it possible to monitor, in living animals, the formation of α-synuclein inclusions. In worms of old age, inclusions contain aggregated α- synuclein, resembling a critical pathological feature. We used genome-wide RNA interference to identify processes involved in inclusion formation, and identified 80 genes that, when knocked down, resulted in a premature increase in the number of inclusions. Quality control and vesicle-trafficking genes expressed in the ER/Golgi complex and vesicular compartments were overrepresented, indicating a specific role for these processes in α-synuclein inclusion formation. Suppressors include aging-associated genes, such as sir-2.1/SIRT1 and lagr-1/LASS2. Altogether, our data suggest a link between α-synuclein inclusion formation and cellular aging, likely through an endomembrane-related mechanism. The processes and genes identified here present a framework for further study of the disease mechanism and provide candidate susceptibility genes and drug targets for Parkinson''s disease and other α-synuclein related disorders.     

Genome sequence of Lactobacillus salivarius GJ-24, a probiotic strain isolated from healthy adult intestine

The draft genome sequence of Lactobacillus salivarius GJ-24 isolated from the feces of healthy adults was determined. Its properties, including milk fermentation activity and bacteriocin production, suggest its potential uses as a probiotic lactic acid bacterium and start culture for dairy products.     

A Quantitative and Dynamic Model of the Arabidopsis Flowering Time Gene Regulatory Network

Various environmental signals integrate into a network of floral regulatory genes leading to the final decision on when to flower. Although a wealth of qualitative knowledge is available on how flowering time genes regulate each other, only a few studies incorporated this knowledge into predictive models. Such models are invaluable as they enable to investigate how various types of inputs are combined to give a quantitative readout. To investigate the effect of gene expression disturbances on flowering time, we developed a dynamic model for the regulation of flowering time in Arabidopsis thaliana. Model parameters were estimated based on expression time-courses for relevant genes, and a consistent set of flowering times for plants of various genetic backgrounds. Validation was performed by predicting changes in expression level in mutant backgrounds and comparing these predictions with independent expression data, and by comparison of predicted and experimental flowering times for several double mutants. Remarkably, the model predicts that a disturbance in a particular gene has not necessarily the largest impact on directly connected genes. For example, the model predicts that SUPPRESSOR OF OVEREXPRESSION OF CONSTANS (SOC1) mutation has a larger impact on APETALA1 (AP1), which is not directly regulated by SOC1, compared to its effect on LEAFY (LFY) which is under direct control of SOC1. This was confirmed by expression data. Another model prediction involves the importance of cooperativity in the regulation of APETALA1 (AP1) by LFY, a prediction supported by experimental evidence. Concluding, our model for flowering time gene regulation enables to address how different quantitative inputs are combined into one quantitative output, flowering time.