Intrinsic MyD88-Akt1-mTOR Signaling Coordinates Disparate Tc17 and Tc1 Responses during Vaccine Immunity against Fungal Pneumonia

Fungal infections have skyrocketed in immune-compromised patients lacking CD4⁺ T cells, underscoring the need for vaccine prevention. An understanding of the elements that promote vaccine immunity in this setting is essential. We previously demonstrated that vaccine-induced IL-17A⁺ CD8⁺ T cells (Tc17) are required for resistance against lethal fungal pneumonia in CD4⁺ T cell-deficient hosts, whereas the individual type I cytokines IFN-γ, TNF-α and GM-CSF, are dispensable. Here, we report that T cell-intrinsic MyD88 signals are crucial for these Tc17 cell responses and vaccine immunity against lethal fungal pneumonia in mice. In contrast, IFN-γ⁺ CD8⁺ cell (Tc1) responses are largely normal in the absence of intrinsic MyD88 signaling in CD8⁺ T cells. The poor accumulation of MyD88-deficient Tc17 cells was not linked to an early onset of contraction, nor to accelerated cell death or diminished expression of anti-apoptotic molecules Bcl-2 or Bcl-xL. Instead, intrinsic MyD88 was required to sustain the proliferation of Tc17 cells through the activation of mTOR via Akt1. Moreover, intrinsic IL-1R and TLR2, but not IL-18R, were required for MyD88 dependent Tc17 responses. Our data identify unappreciated targets for augmenting adaptive immunity against fungi. Our findings have implications for designing fungal vaccines and immune-based therapies in immune-compromised patients.     

Design and synthesis of amino acids-conjugated heterocycle derived ureas/thioureas as potent inhibitors of protein glycation

Protein glycation is believed to play an important role in the development of long-term disorders associated with diabetic complications. In view of the wide occurrence of advanced glycation end products (AGE’s) and the oxidative stress derived from them in a variety of diabetic complications, it would be of great interest to identify and develop AGE inhibitors. In this study, synthesis and in vitro antiglycation activity of a small library of forty urea/thiourea derivatives of Phe/Tyr/Glu/Lys-benzisoxazole hybrids are reported. Structures of the compounds were confirmed by IR, NMR, mass spectrometry, and elemental analysis. Most of the title compounds exhibited promising activity. Best antiglycation activity was found for Tyr analogue with methoxy group as a substituent particularly at the para position with IC₅₀ value of 1.9 μM against the positive control, Rutin, with IC₅₀ = 41.9 μM. Thus, the title compounds represent novel class of potent antiglycating agents.     

Organization of Plasmodium falciparum genome: 1. Evidence for a highly repeated DNA sequence.

Plasmodium falciparum DNA, isolated from the merozoite stage, was cleaved with HindIII and cloned in pBR322 and lambda L47.1 vectors. Plasmid clones containing 13.4, 7.0, 4.3, 4.1 and 1.5 kb inserts were characterized in some detail. The inserts contain several repeating units of smaller size. Nucleic acid hybridization studies showed that the repeat element is present in the Plasmodium DNA at a very high copy number and appears to be distributed widely throughout the genome.     

Identification, isolation and purification of neurotoxic phospholipases A2 from Vipera russelli venom using polyclonal antibodies.

All the neurotoxic phospholipases A2 present in whole Vipera russelli venom were precipitated selectively from other non-neurotoxic phospholipases A2 and non-phospholipases A2 fractions using antibodies (anti PL-V Ig) raised against one of the purified neurotoxic phospholipases A2 (VRV PL-V). These neurotoxins were identified and isolated in their homogeneous form by chromatographic and electrophoretic methods. The present report of selective isolation and purification of all the neurotoxic phospholipases A2 of V. russelli venom is first of its kind.     

Isolation and characterization of "Reprotoxin", a novel protein complex from Daboia russelii snake venom

In snake venoms, non-covalent protein-protein interaction leads to protein complexes with synergistic and, at times, distinct pharmacological activities. Here we describe a new protein complex containing phospholipaseA(2) (PLA(2)), protease, and a trypsin inhibitor. It is isolated from the venom of Daboia russelii by gel permeation chromatography, on a Sephadex G-75 column. This 44.6kDa complex exhibits only phospholipase A(2) activity. In the presence of 8M urea it is well resolved into protease (29.1kDa), PLA(2) (13kDa), and trypsin inhibitor (6.5kDa) peaks. The complex showed an LD(50) of 5.06mg/kg body weight in mice. It inhibited the frequency of spontaneous release of neurotransmitter in hippocampal neurons. It also caused peritoneal bleeding, and edema in the mouse foot pads. Interestingly, the complex caused degeneration of both the germ cells and the mouse Leydig cells of mouse testis. A significant reduction in both the diameter of the seminiferous tubules and height of the seminiferous epithelia were observed following intraperitoneal injection of the sub-lethal dose (3mg/kg body weight). This effect of the toxin is supported by the increase in the activities of acid and alkaline phosphatases and the nitric oxide content in the testes, and a decrease in the ATPase activity. Because of its potent organ atrophic effects on the reproductive organs, the toxin is named "Reprotoxin". This is the first report demonstrating toxicity to the reproductive system by a toxin isolated from snake venom.     

Multi-generation genomic prediction of maize yield using parametric and non-parametric sparse selection indices

Genomic prediction models are often calibrated using multi-generation data. Over time, as data accumulates, training data sets become increasingly heterogeneous. Differences in allele frequency and linkage disequilibrium patterns between the training and prediction genotypes may limit prediction accuracy. This leads to the question of whether all available data or a subset of it should be used to calibrate genomic prediction models. Previous research on training set optimization has focused on identifying a subset of the available data that is optimal for a given prediction set. However, this approach does not contemplate the possibility that different training sets may be optimal for different prediction genotypes. To address this problem, we recently introduced a sparse selection index (SSI) that identifies an optimal training set for each individual in a prediction set. Using additive genomic relationships, the SSI can provide increased accuracy relative to genomic-BLUP (GBLUP). Non-parametric genomic models using Gaussian kernels (KBLUP) have, in some cases, yielded higher prediction accuracies than standard additive models. Therefore, here we studied whether combining SSIs and kernel methods could further improve prediction accuracy when training genomic models using multi-generation data. Using four years of doubled haploid maize data from the International Maize and Wheat Improvement Center (CIMMYT), we found that when predicting grain yield the KBLUP outperformed the GBLUP, and that using SSI with additive relationships (GSSI) lead to 5–17% increases in accuracy, relative to the GBLUP. However, differences in prediction accuracy between the KBLUP and the kernel-based SSI were smaller and not always significant.Subject terms: Quantitative trait, Genetic models     

A novel inhibitor protein of N-myristoyltransferase from Escherichia coli

Myristoyl-CoA:protein N-myristoyltransferase (NMT) catalyzes the covalent attachment of myristate to the N-terminal of the glycine residue of various eukaryotic and viral proteins of diverse functions. Earlier, we have demonstrated that NMT activity is elevated in colon and gall bladder cancer. Attenuation of NMT activity may prove a novel therapeutic protocol for cancer. We report here a novel inhibitor protein of NMT being expressed in Escherichia coli cells containing the human NMT gene on increasing the incubation period from 5 to 24h. The inhibitor protein was purified by SP-Sepharose column chromatography, heat treatment, ammonium sulfate precipitation, and Superose 12 HR/30 FPLC column chromatography. The inhibitor protein had an apparent molecular mass of 10kDa by gel filtration. It inhibited human NMT in a concentration-dependent manner with 50% inhibition at 640+/-4.68nM. The inhibitor protein showed no direct interaction with myristoyl-CoA and demonstrated no demyristoylase or protease activity. Therefore, we conclude that the inhibitor protein acts directly on NMT.     

Multiple-line cross QTL mapping for biomass yield and plant height in triticale (× Triticosecale Wittmack)

Key message

QTL mapping in multiple families identifies trait-specific and pleiotropic QTL for biomass yield and plant height in triticale.

Abstract

Triticale shows a broad genetic variation for biomass yield which is of interest for a range of purposes, including bioenergy. Plant height is a major contributor to biomass yield and in this study, we investigated the genetic architecture underlying biomass yield and plant height by multiple-line cross QTL mapping. We employed 647 doubled haploid lines from four mapping populations that have been evaluated in four environments and genotyped with 1710 DArT markers. Twelve QTL were identified for plant height and nine for biomass yield which cross-validated explained 59.6 and 38.2 % of the genotypic variance, respectively. A major QTL for both traits was identified on chromosome 5R which likely corresponds to the dominant dwarfing gene Ddw1. In addition, we detected epistatic QTL for plant height and biomass yield which, however, contributed only little to the genetic architecture of the traits. In conclusion, our results demonstrate the potential of genomic approaches for a knowledge-based improvement of biomass yield in triticale.     

Quantifying and Modeling the Influence of Temperature on Growth and Reproductive Development of Sesame

Ambient temperatures are major factors regulating the growth rates, yields, and geographical distribution of crop species. The cultivation of sesame (Sesamum indicum L.) is expanding with the rising demand in regions where it is not traditionally grown, and sub-optimal yields due to extremely low or high temperatures could occur. Currently literature lacks information on the temperature responses of sesame growth. An experiment was conducted to quantify the effects of different temperatures on vegetative growth and reproductive development of sesame, and to estimate its cardinal temperature limits (T_opt; T_min; T_max). Plants were subjected to six different day/night temperature treatments of 40/32, 36/28, 32/24, 28/20, and 20/12 °C using walk-in growth chambers. Vegetative growth of sesame was sensitive to low temperatures (<?15 °C), but tolerant of high temperatures. The cardinal temperature limits of 15.7 °C (T_min), 27.3 °C (T_opt), and 44.6 °C (T_max) were observed for rate of biomass accumulation. Sesame reached the flowering stage under moderate to high temperature conditions; however, reproductive yields progressively declined above 25 °C, and no seed yields were obtained beyond 33 °C. The estimated temperature limits could be employed to develop crop models for simulating management and adaptation strategies of sesame under current and future climate scenarios, and adaptation to regions where the crop is not currently grown. Future research should focus on understanding factors controlling the temperature tolerance of reproductive development in sesame, to provide a broader geographical adaptation.