Genome-wide analysis of the barley non-specific lipid transfer protein gene family

Non-specific lipid transfer proteins(nsLTPs) are small, basic proteins that are characterized by an eight-cysteine motif. The biological functions of these proteins have been reported to involve plant reproduction and biotic or abiotic stress response. With the completion of the barley genome sequence, a genome-wide analysis of nsLTPs in barley(Hordeum vulgare L.)(HvLTPs) will be helpful for understanding the function of nsLTPs in plants. We performed a genome-wide analysis of the nsLTP gene family in barley and identified 70 nsLTP genes,which can be divided into five types(1, 2, C, D, and G). Each type of nsLTPs shares similar exon and intron gene structures. Expression analysis showed that barley nsLTPs have diverse expression patterns, revealing their various roles. Our results shed light on the phylogenetic relationships and potential functions of barley nsLTPs and will be useful for future studies of barley development and molecular breeding.

Network pharmacology-based analysis on three amicoumacin-type isocoumarin compounds from an endophytic bacterium in Houttuynia cordata

Amicoumacin isocoumarin-type compounds are mainly derived from the secondary metabolites of Bacillus bacteria,and have potential biological activities such as antibacterial,anti-tumor,anti-inflammatory,and anti-ulcer.In our previous research,three amicoumacin-type isocoumarin compounds,Paenicoumacin A,Paenicoumacin B,and Paenicoumacin C(B and C are novel),were isolated from an endophytic bacterium in Houttuynia cordata.In this study,network pharmacology and bioinformatics techniques were used to analyze the potential activities of amicoumacin compounds in the treatment of liver cancer.These compounds were found to mainly regulate cellular oxidative stress,cancer process,nucleic acid metabolism,nutritional metabolism and other pathways.The findings provide useful information for subsequent experimental verification.

Application of Caenorhabditis elegans in screening active ingredients of traditional Chinese medicine

People continue to recognize the important role of Chinese medicine in the treatment of diseases,and there is an urgent need to clarify the mechanism of Chinese medicine.Because of the multi-target and multi-component characteristics of traditional Chinese medicine,it is difficult to elaborate from a single perspective.As a high-quality animal model,Caenorhabditis elegans with the characteristics of small size and fast reproduction,has been widely used in traditional Chinese medicine activity experiments.In this article,Caenorhabditis elegans,as model organisms used to screen the active components of traditional Chinese medicine were reviewed.

Metric-based Few-shot Classification in Remote Sensing Image

Target recognition based on deep learning relies on a large quantity of samples,but in some specific remote sensing scenes,the samples are very rare.Currently,few-shot learning can obtain high-performance target classification models using only a few samples,but most researches are based on the natural scene.Therefore,this paper proposes a metric-based few-shot classification technology in remote sensing.First,we constructed a dataset(RSD-FSC)for few-shot classification in remote sensing,which contained 21 classes typical target sample slices of remote sensing images.Second,based on metric learning,a k-nearest neighbor classification network is proposed,to find multiple training samples similar to the testing target,and then the similarity between the testing target and multiple similar samples is calculated to classify the testing target.Finally,the 5-way 1-shot,5-way 5-shot and 5-way 10-shot experiments are conducted to improve the generalization of the model on few-shot classification tasks.The experimental results show that for the newly emerged classes few-shot samples,when the number of training samples is 1,5 and 10,the average accuracy of target recognition can reach 59.134%,82.553%and 87.796%,respectively.It demonstrates that our proposed method can resolve few-shot classification in remote sensing image and perform better than other few-shot classification methods.

柳暗花明:胞外生长素信号感受的新突破

生长素在植物生长发育过程中发挥重要作用,其信号转导机制一直是植物学领域关注的热点。前期研究表明,ABP1-TMK分子模块参与胞外生长素信号感受,但ABP1作为生长素受体备受争议。近期,福建农林大学徐通达团队和杨贞标团队鉴定到ABL蛋白作为生长素结合蛋白参与胞外生长素信号感受。与传统的功能冗余不同,ABL和ABP1通过蛋白结构的相似性实现功能补偿效应,进而与TMK在细胞膜上形成复合体,作为胞外生长素的共受体介导生长素信号驱动的快速反应。该研究深入解析了胞外生长素信号感受的重要机制,是生长素研究领域的重大突破。