Contents of Volume 53

Plant Molecular Biology -     

大鼠脊髓中的α受体在减压反射和失血性休克中的作用

大鼠脊髓蛛网膜下腔注射α激动剂可乐宁1μg,引起血压降低、心率减慢及腹腔神经节后交感神经干放电抑制。应用α阻断剂酚妥拉明阻断脊髓内源性 NE的作用,可部分抑制血压升高时反射性的心率减慢和交感神经放电抑制反应,使压力感受器反射的敏感性降低。在颈动脉放血造成不可逆性失血性休克的动物,脊髓蛛网膜下腔注射酚妥拉明可使动脉血压有一定程度的回升。以上结果表明,由脊髓α受体调制的心血管抑制效应参与减压反射以及失血性休克的发病机制。     

基因定点诱变删除及天然α型心钠素的分泌型表达

用基因定点诱变技术,删除了pO_1α ANF表达质粒中的33对碱基,使人α型心钠素结构基因直接与大肠杆菌分泌型表达质粒pIN-Ⅲ-OmPA中的信号肽酶切位点编码区相连,构成天然人α型心钠素的表达质粒pANF,在IPTG诱导下表达28肽的天然人α型心钠素。纯化后的表达产物具有天然心钠素的放免活性和很强的舒张血管的生物活性。     

Chromosome-level genome assembly and characterization of Sophora Japonica

Sophora japonica is a medium-size deciduous tree belonging to Leguminosae family and famous for its high ecological, economic and medicinal value. Here, we reveal a draft genome of S. japonica, which was ∼511.49 Mb long (contig N50 size of 17.34 Mb) based on Illumina, Nanopore and Hi-C data. We reliably assembled 110 contigs into 14 chromosomes, representing 91.62% of the total genome, with an improved N50 size of 31.32 Mb based on Hi-C data. Further investigation identified 271.76 Mb (53.13%) of repetitive sequences and 31,000 protein-coding genes, of which 30,721 (99.1%) were functionally annotated. Phylogenetic analysis indicates that S. japonica separated from Arabidopsis thaliana and Glycine max ∼107.53 and 61.24 million years ago, respectively. We detected evidence of species-specific and common-legume whole-genome duplication events in S. japonica. We further found that multiple TF families (e.g. BBX and PAL) have expanded in S. japonica, which might have led to its enhanced tolerance to abiotic stress. In addition, S. japonica harbours more genes involved in the lignin and cellulose biosynthesis pathways than the other two species. Finally, population genomic analyses revealed no obvious differentiation among geographical groups and the effective population size continuously declined since 2 Ma. Our genomic data provide a powerful comparative framework to study the adaptation, evolution and active ingredients biosynthesis in S. japonica. More importantly, our high-quality S. japonica genome is important for elucidating the biosynthesis of its main bioactive components, and improving its production and/or processing.     

DeepMHADTA: Prediction of Drug-Target Binding Affinity Using Multi-Head Self-Attention and Convolutional Neural Network

Drug-target interactions provide insight into the drug-side effects and drug repositioning. However, wet-lab biochemical experiments are time-consuming and labor-intensive, and are insufficient to meet the pressing demand for drug research and development. With the rapid advancement of deep learning, computational methods are increasingly applied to screen drug-target interactions. Many methods consider this problem as a binary classification task (binding or not), but ignore the quantitative binding affinity. In this paper, we propose a new end-to-end deep learning method called DeepMHADTA, which uses the multi-head self-attention mechanism in a deep residual network to predict drug-target binding affinity. On two benchmark datasets, our method outperformed several current state-of-the-art methods in terms of multiple performance measures, including mean square error (MSE), consistency index (CI), rm2, and PR curve area (AUPR). The results demonstrated that our method achieved better performance in predicting the drug–target binding affinity.     

生物启发的细菌表面人造矿物壳:通过仿生矿化保护活细胞

【目的】生物启发的细菌表面仿生矿化人造矿物壳被用于保护活细胞。【方法】将细菌限制在坚固而完整的矿物壳中,有限的物理空间和物质交换使其暂时进行休眠,降低长期保存期间的活力损失以及提高在各种极端环境中的生存能力,并且能够通过酸去除矿物壳而重新激活细菌。【结果】相较于未仿生矿化的细菌(EcN),矿化细菌(EcN@CaCO₃)在32 d的储存实验中活力最高提升262倍;在pH 2.5的强酸环境中存活率提高837倍;在pH 12.0的强碱环境中存活率提高171倍;在80 ℃的高温条件下存活率提高59.1倍;甚至在抗生素溶液中,EcN@CaCO₃中细菌的存活率是EcN的729.7倍。【结论】本研究利用仿生矿化提高了细菌的保存稳定性,使其能在酸刺激下去除涂层恢复活性,也能在极端环境下保留细菌的活力,为微生物在环境生态、食品制造和生物医药等领域的应用提供研究基础。