The Arabidopsis NLP7 gene regulates nitrate signaling via NRT1.1-dependent pathway in the presence of ammonium.

Nitrate is not only an important nutrient but also a signaling molecule for plants. A few of key molecular components involved in primary nitrate responses have been identified mainly by forward and reverse genetics as well as systems biology, however, many underlining mechanisms of nitrate regulation remain unclear. In this study, we show that the expression of NRT1.1, which encodes a nitrate sensor and transporter (also known as CHL1 and NPF6.3), is modulated by NIN-like protein 7 (NLP7). Genetic and molecular analyses indicate that NLP7 works upstream of NRT1.1 in nitrate regulation when NH4+ is present, while in absence of NH4+, it functions in nitrate signaling independently of NRT1.1. Ectopic expression of NRT1.1 in nlp7 resulted in partial or complete restoration of nitrate signaling (expression from nitrate-regulated promoter NRP), nitrate content and nitrate reductase activity in the transgenic lines. Transcriptome analysis revealed that four nitrogen-related clusters including amino acid synthesis-related genes and members of NRT1/PTR family were modulated by both NLP7 and NRT1.1. In addition, ChIP and EMSA assays results indicated that NLP7 may bind to specific regions of the NRT1.1 promoter. Thus, NLP7 acts as an important factor in nitrate signaling via regulating NRT1.1 under NH4+ conditions

Twelfth annual report for the year ended 31st December, 1966

The London Irish Centre's twelfth annual report for the year ended 31st December 1966. Includes statement of accounts. Typescript

Observation of SQUID-like behavior in fiber laser with intra-cavity epsilon-near-zero effect

Establishing relations between fundamental effects in far-flung areas of physics is a subject of great interest in the current research. We here report realization of a novel photonic system akin to the radio-frequency superconducting quantum interference device (RF-SQUID), in a fiber laser cavity with epsilon-near-zero (ENZ) nanolayers as intra-cavity components. Emulating the RF-SQUID scheme, the photonic counterpart of the supercurrent, represented by the optical wave, circulates in the cavity, passing through effective optical potential barriers. Different ENZ wavelengths translate into distinct spectral outputs through the variation of cavity resonances, emulating the situation with a frequency-varying tank circuit in the RF-SQUID. Due to the presence of the ENZ element, the optical potential barrier is far lower for selected frequency components, granting them advantage in the gain-resource competition. The findings reported in this work provide a deeper insight into the ultrafast ENZ photonics, revealing a new path towards the design of nanophotonic on-chip devices with various operational functions, and offer a new approach to study superconducting and quantum-mechanical systems.Comment: to be published in Laser & Photonics Review

Crowdfunding: A Potentially Effective Channel to Raise Money for Lignocellulosic Research

It is becoming more and more important for researchers to find financing for their research projects and studies. Traditionally, they rely on grants and universities to fund sustained academic research progress. With grants becoming increasingly hard to secure, researchers have to turn to other sources of finance to support their research. Crowdfunding has provided a potentially effective financial tool to raise money from the public for their work. Unlike the traditional peer-review grant systems, which often have a complicated and time-consuming application and evaluation process, the crowdfunding process is generally simple and fast, and it has a high fundraising efficiency. Besides raising money to conduct research, crowdfunding also provides an opportunity for public outreach and science education engendered by this type of funding model. This editorial will give a brief discussion on crowdfunding and its use in lignocellulosic research

Lignocellulosic Biomass for Sustainable Energy: Some Neglected Issues and Misconceptions

Lignocellulosic biomass (LB) is widely used in the field of renewable energy production because of its low price and easy availability. Many kinds of fuels from LB have been developed and are being used in our daily lives. The LB energy has become an indispensable part in the energy mix on account of its steady and sustainable supply. However, there are some neglected issues and misconceptions regarding its development and utilization, although it has numerous advantages over other energy sources. Firstly, its development and utilization can change the living environment of organisms and decrease biodiversity to some extent, relative to using other sources of energy. Secondly, it is not a completely carbon-neutralized fuel as has been claimed in some literature. Finally, its excessive exploitation can seriously damage the environment and biosystems. This editorial will give a brief discussion on some neglected issues and misconceptions during its development and utilization for its suitable exploitation

Overexpression of the Maize ZmNLP6 and ZmNLP8 Can Complement the Arabidopsis Nitrate Regulatory Mutant nlp7 by Restoring Nitrate Signaling and Assimilation.

Nitrate is a key nutrient that affects maize growth and yield, and much has yet to be learned about nitrate regulatory genes and mechanisms in maize. Here, we identified nine ZmNLP genes in maize and analyzed the functions of two ZmNLP members in nitrate signaling. qPCR results revealed a broad pattern of expression for ZmNLP genes in different stages and organs with the highest levels of transcript expression of ZmNLP6 and ZmNLP8. When ZmNLP6 and ZmNLP8 were overexpressed in the Arabidopsis nitrate regulatory gene mutant nlp7-4, nitrate assimilation and induction of nitrate-responsive genes in the transgenic plants were recovered to WT levels, indicating that ZmNLP6 and ZmNLP8 can replace the essential roles of the master nitrate regulatory gene AtNLP7 in nitrate signaling and metabolism. ZmNLP6 and ZmNLP8 are localized in the nucleus and can bind candidate nitrate-responsive cis-elements in vitro. The biomass and yield of transgenic Arabidopsis lines overexpressing ZmNLP6 and ZmNLP8 showed significant increase compared with WT and nlp7-4 mutant line in low nitrate conditions. Thus, ZmNLP6 and ZmNLP8 regulate nitrate signaling in transgenic Arabidopsis plants and may be potential candidates for improving nitrogen use efficiency of maize

The Arabidopsis NLP7 gene regulates nitrate signaling via NRT1.1-dependent pathway in the presence of ammonium.

Nitrate is not only an important nutrient but also a signaling molecule for plants. A few of key molecular components involved in primary nitrate responses have been identified mainly by forward and reverse genetics as well as systems biology, however, many underlining mechanisms of nitrate regulation remain unclear. In this study, we show that the expression of NRT1.1, which encodes a nitrate sensor and transporter (also known as CHL1 and NPF6.3), is modulated by NIN-like protein 7 (NLP7). Genetic and molecular analyses indicate that NLP7 works upstream of NRT1.1 in nitrate regulation when NH4+ is present, while in absence of NH4+, it functions in nitrate signaling independently of NRT1.1. Ectopic expression of NRT1.1 in nlp7 resulted in partial or complete restoration of nitrate signaling (expression from nitrate-regulated promoter NRP), nitrate content and nitrate reductase activity in the transgenic lines. Transcriptome analysis revealed that four nitrogen-related clusters including amino acid synthesis-related genes and members of NRT1/PTR family were modulated by both NLP7 and NRT1.1. In addition, ChIP and EMSA assays results indicated that NLP7 may bind to specific regions of the NRT1.1 promoter. Thus, NLP7 acts as an important factor in nitrate signaling via regulating NRT1.1 under NH4+ conditions

Evaluation of the Impact of b-Value Ranges on Six Body Diffusion Models in Prostate Application

This paper investigated the impact of different b-value acquisition ranges (from 0 to 2 500 s/mm2) on the quantitative parameter calculation of six body diffusion models, including mono-exponential (Mono), diffusion kurtosis imaging (DKI), intravoxel incoherent motion (IVIM), stretch exponential model (SEM), fractional-order calculus model (FROC), and continuous time random walk model (CTRW). The influence of different b-value acquisition ranges on parameter calculation was evaluated through correlation between diffusion model parameters, t-test, and the ability to differentiate benign and malignant prostate lesions. The results showed that compared with that of the reference sampling scheme (0~2 500 s/mm2), the difference of the mean value of region of interest (ROI) with the same diffusion parameters gradually increases as the maximum b-value decreases, but the correlation decreases only slightly, and the ability to differentiate between benign and malignant prostate lesions remains at a similar level. Based on the experimental results, a b-value range of 0~1 500 s/mm2 is recommended for clinical practice, because this scheme takes collection efficiency into account, the correlation of more than half of its parameters with those of the reference sampling scheme is not less than 0.98, and the difference in the values of area under the curve (AUC) between benign and malignant differentiation is less than 0.01. In addition, the sensitivity of different diffusion models to the b-value scheme varies, with the parameters of SEM and CTRW models being relatively less affected by the b-value range