PO-144 Intermittent Exercise Activates NRG1-SERCA2a Pathway to Improve Cardiac Function in Myocardial Infarction Rats

Objective  Intermittent exercise can improve cardiac function in rats with myocardial infarction. The Neuregulin-1(NRG1)/SERCA2a palys a critical role in maintain cardiac function. We want to investigate the effect of Neuregulin-1 (NRG1) on NRG1-SERCA2a signaling pathway activated by intermittent exercise and on improves cardiac function in rats with MI. Methods 32 male sprague-dawley rats were randomly divided into four groups (n=8): Sham-operated group (S), sedentary MI group (MI), MI with interval training group (ME), ME with inhibitor AG1478 group (MA). ME and MA model after the MI model was established by ligation of the left anterior descending coronary artery, and began training 1 week after MI surgery. The S model only by threading without ligation. Rats in ME and MA model taken one week adaptive training, then began 8-week interval training. MA model were injected with inhibitor AG1478, once every two days. The 24h after training, rats were anesthetized, the LVSP, LVEDP, ±dp/dt max were tested by carotid artery intubation which in order to evaluate cardiac function. The protein expression of NRG1, PI3K, Akt, eNOS, PKG, PLN, SERCA2a in myocardium were measured by Westernblotting, themRNA expression of serca2a were tested by RT-qPCR. Results Compared with S, the protein expression of NRG1, PKG, peNOS, pAkt, pPLN, pPI3K and SERCA2a decreased, serca2a mRNA expression decreased, LVSP and ±dp/dt max significantly decreased, LVEDP significantly increased; Compared with MI, the protein expression of NRG1, PKG, peNOS, pAkt, pPLN, pPI3K and SERCA2a increased, serca2a mRNA expression increased, LVSP and ±dp/dt max significantly increased, LVEDP decreased, and the effect of exercise were weaken by inhibitor AG1478. Correlation analysis showed that the myocardial pPLN and SERCA2a protein expression both were positively correlated with LVSP, ±dp/dtmax, and negatively correlated with LVEDP. Conclusions Intermittent exercise can increased myocardial NRG1 protein expression and activates NRG1-SERCA2a signaling pathway, improve myocardial infarction cardiac function

Association mapping of stigma and spikelet characteristics in rice (Oryza sativa L.)

Stigma and spikelet characteristics play an essential role in hybrid seed production. A mini-core of 90 accessions developed from USDA rice core collection was phenotyped in field grown for nine traits of stigma and spikelet and genotyped with 109 DNA markers, 108 SSRs plus an indel. Three major clusters were built upon Rogers’ genetic distance, indicative of indicas, and temperate and tropical japonicas. A mixed linear model combining PC-matrix and K-matrix was adapted for mapping marker-trait associations. Resulting associations were adjusted using false discovery rate technique. We identified 34 marker-trait associations involving 22 SSR markers for eight traits. Four markers were associated with single stigma exsertion (SStgE), six with dual exsertion (DStgE) and five with total exsertion. RM5_Chr1 played major role indicative of high regression with not only DStgE but also SStgE. Four markers were associated with spikelet length, three with width and seven with L/W ratio. Numerous markers were co-associated with multiple traits that were phenotypically correlated, i.e. RM12521_Chr2 associated with all three correlated spikelet traits. The co-association should improve breeding efficiency because single marker could be used to assist breeding for multiple traits. Indica entry 1032 (cultivar 50638) and japonica entry 671 (cultivar Linia 84 Icar) with 80.65 and 75.17% of TStgE, respectively are recommended to breeder for improving stigma exsertion

Research on the Method and Model for Calculating Impact Load in the Rockburst Tunnel

Among several design methods of tunnel supporting structure, the load-structure method is widely used in different countries, but the determination of load is essential in this design method. The problem of rockburst is becoming more prominent as tunnel engineering enters the deep underground space. However, the research on the impact load on the supporting structure is insufficient in relevant fields. Therefore, from the perspective of energy, this paper deduces the method and model for calculating the impact load of the rockburst tunnel acting on the supporting structure by using the method of structural mechanics first, after the location effect of impact load is determined under different section types and different section sizes. The results indicated that: dynamic load factor K is related to the stiffness EI and supporting size coefficient K0 of the supporting structure, also the difference of impact load in different sections is proved. Tunnel rockburst-prone location is related to lateral pressure coefficient, thus when λ = 1, the probability of rockburst in the whole circular tunnel is the same, while side wall and vault are prone to rockburst in single-track horseshoe tunnel, and the side wall is prone to rockburst in double-track horseshoe tunnel; furthermore when λ > 1, the vault and the inverted arch are prone to rockburst; additionally, when λ < 1, the rockburst is most likely to occur in the arch waist of the circular tunnel and the side walls and the arch waist of the horseshoe tunnel. Finally, the rockburst tunnel’s local load-structure calculation model and the calculation process based on the model are provided

Research on the Method and Model for Calculating Impact Load in the Rockburst Tunnel

Among several design methods of tunnel supporting structure, the load-structure method is widely used in different countries, but the determination of load is essential in this design method. The problem of rockburst is becoming more prominent as tunnel engineering enters the deep underground space. However, the research on the impact load on the supporting structure is insufficient in relevant fields. Therefore, from the perspective of energy, this paper deduces the method and model for calculating the impact load of the rockburst tunnel acting on the supporting structure by using the method of structural mechanics first, after the location effect of impact load is determined under different section types and different section sizes. The results indicated that: dynamic load factor K is related to the stiffness EI and supporting size coefficient K0 of the supporting structure, also the difference of impact load in different sections is proved. Tunnel rockburst-prone location is related to lateral pressure coefficient, thus when λ = 1, the probability of rockburst in the whole circular tunnel is the same, while side wall and vault are prone to rockburst in single-track horseshoe tunnel, and the side wall is prone to rockburst in double-track horseshoe tunnel; furthermore when λ > 1, the vault and the inverted arch are prone to rockburst; additionally, when λ .</strong

Graphene oxide/chitin nanofibril composite foams as column adsorbents for aqueous pollutants

A novel graphene oxide/chitin nanofibrils (GO-CNF) composite foam as a column adsorbent was prepared for aqueous contaminant disposal. The structures, morphologies and properties of composite foams supported by nanofibrils were characterized. As a special case, the adsorption of methylene blue (MB) on GO-CNF was investigated regarding the static adsorption and column adsorption-desorption tests. Results from equilibrium adsorption isotherms indicated that the adsorption behavior was well-fitted to Langmuir model. The composite foams reinforced by CNF were dimensionally stable during the column adsorption process and could be reused after elution. The removal efficiency of MB was still nearly 90% after 3 cycles. Furthermore, other inorganic or organic pollutants adsorbed by composite foams were also explored. Therefore, this novel composite foam with remarkable properties such as dimensional stability, universal adsorbent for cationic pollutants, high adsorption capacity, and ease of regeneration was a desirable adsorbent in the future practical application of water pollutant treatment. (C) 2016 Elsevier Ltd. All rights reserved

iTRAQ-based protein profiling and functional identification of four genes involved in rice basal resistance against Magnaporthe oryzae in two contrasting rice genotypes

Abstract Rice blast, caused by Magnaporthe oryzae, is one of the most destructive rice diseases. Developing blast-resistant rice cultivars represents the most economical and environmentally friend strategy for managing the disease. In our previous study, an isobaric tags for relative and absolute quantitation (iTRAQ)-based comparative protein quantification was carried out to investigate the resistance gene Piz-t gene-mediated resistance response to infection in two contrasting rice genotypes of the Piz-t transgenic Nipponbare line (NPB-Piz-t) and its wild-type Nipponbare (NPB). Here, from the comparisons of differentially expressed proteins (DEPs) of NPB-Piz-t to the avirulent isolate KJ201 (KJ201-Piz-t)and the virulent isolate RB22 (RB22-Piz-t) with mock-treated NPB-Piz-t (Mock-Piz-t), NPB to the virulent isolate KJ201(KJ201-NPB) and RB22 (RB22-NPB) with mock-treated NPB (Mock-NPB), 1, 1, and 6 common DEPs were, respectively, identified at 24, 48 and 72 h post-inoculation (hpi) in the susceptible comparisons of RB22-Pizt/Mock-Piz-t, KJ201-NPB/Mock-NPB, and RB22-NPB/Mock-NPB, involving in gi|54,290,836 and gi|59,800,021 were identified in the resistance comparison KJ201-Piz-t/Mock-Piz-t at 48 and 72 hpi respectively. Moreover, four genes of Os01g0138900 (gi|54,290,836), Os04g0659300 (gi|59,800,021), Os09g0315700 (gi|125,563,186) or Os04g0394200 (gi|21,740,743) were knocked out or overexpressed in NPB using gene over-expression and CRISPR/Cas9 technology, and results verified that the Os01g0138900 obviously affected the rice blast resistance. Further, expression and targeted metabolomics analysis illuminated the resistance response of cysteine-containing substances as gi|59,800,021 under blast infection. These results provide new targets for basal resistance gene identification and open avenues for developing novel rice blast resistant materials

Comparative Proteome Analyses Reveal that Nitric Oxide Is an Important Signal Molecule in the Response of Rice to Aluminum Toxicity

Acidic soils inhibit crop yield and reduce grain quality. One of the major contributing factors to acidic soil is the presence of soluble aluminum (Al³⁺) ions, but the mechanisms underlying plant responses to Al³⁺ toxicity remain elusive. Nitric oxide (NO) is an important messenger and participates in various plant physiological responses. Here, we demonstrate that Al³⁺ induced an increase of NO in rice seedlings; adding exogenous NO alleviated the Al³⁺ toxicity related to rice growth and photosynthetic capacity, effects that could be reversed by suppressing NO metabolism. Comparative proteomic analyses successfully identified 92 proteins that showed differential expression after Al³⁺ or NO treatment. In particular, some of the proteins are involved in reactive oxygen species (ROS) and reactive nitrogen species (RNS) metabolism. Further analyses confirmed that NO treatment reduced Al³⁺-induced ROS and RNS toxicities by increasing the activities and protein expression of antioxidant enzymes, as well as <i>S</i>-nitrosoglutathione reductase (GSNOR). Suppressing GSNOR enzymatic activity aggravated Al³⁺ damage to rice and increased the accumulation of RNS. NO treatment altered the expression of proteins associated with cell wall synthesis, cell division and cell structure, calcium signaling and defense responses. On the basis of these results, we propose that NO activates multiple pathways that enhance rice adaptation to Al³⁺ toxicity. Such findings may be applicable to crop engineering to enhance yield and improve stress tolerance