The complex genome and adaptive evolution of polyploid Chinese pepper (Zanthoxylum armatum and Zanthoxylum bungeanum)

Zanthoxylum armatum and Zanthoxylum bungeanum, known as ‘Chinese pepper’, are distinguished by their extraordinary complex genomes, phenotypic innovation of adaptive evolution and species-special metabolites. Here, we report reference-grade genomes of Z. armatum and Z. bungeanum. Using high coverage sequence data and comprehensive assembly strategies, we derived 66 pseudochromosomes comprising 33 homologous phased groups of two subgenomes, including autotetraploid Z. armatum. The genomic rearrangements and two whole-genome duplications created large (~4.5 Gb) complex genomes with a high ratio of repetitive sequences (>82%) and high chromosome number (2n = 4x = 132). Further analysis of the high-quality genomes shed lights on the genomic basis of involutional reproduction, allomones biosynthesis and adaptive evolution in Chinese pepper, revealing a high consistent relationship between genomic evolution, environmental factors and phenotypic innovation. Our study provides genomic resources and new insights for investigating diversification and phenotypic innovation in Chinese pepper, with broader implications for the protection of plants under severe environmental changes.     

High-temperature stress in crops: male sterility,yield loss and potential remedy approaches

Global food security is one of the utmost essential challenges in the 21st century in providing enough food for the growing population while coping with the already stressed environment. High temperature (HT) is one of the main factors affecting plant growth, development and reproduction and causes male sterility in plants. In male reproductive tissues, metabolic changes induced by HT involve carbohydrates, lipids, hormones, epigenetics and reactive oxygen species, leading to male sterility and ultimately reducing yield. Understanding the mechanism and genes involved in these pathways during the HT stress response will provide a new path to improve crops by using molecular breeding and biotechnological approaches. Moreover, this review provides insight into male sterility and integrates this with suggested strategies to enhance crop tolerance under HT stress conditions at the reproductive stage.     

Artificial nanovesicles for dsRNA delivery in spray-induced gene silencing for crop protection

Spray-induced gene silencing (SIGS) is an innovative and eco-friendly technology where topical application of pathogen gene-targeting RNAs to plant material can enable disease control. SIGS applications remain limited because of the instability of RNA, which can be rapidly degraded when exposed to various environmental conditions. Inspired by the natural mechanism of cross-kingdom RNAi through extracellular vesicle trafficking, we describe herein the use of artificial nanovesicles (AVs) for RNA encapsulation and control against the fungal pathogen, Botrytis cinerea. AVs were synthesized using three different cationic lipid formulations, DOTAP + PEG, DOTAP and DODMA, and examined for their ability to protect and deliver double stranded RNA (dsRNA). All three formulations enabled dsRNA delivery and uptake by B. cinerea. Further, encapsulating dsRNA in AVs provided strong protection from nuclease degradation and from removal by leaf washing. This improved stability led to prolonged RNAi-mediated protection against B. cinerea both on pre- and post-harvest plant material using AVs. Specifically, the AVs extended the protection duration conferred by dsRNA to 10 days on tomato and grape fruits and to 21 days on grape leaves. The results of this work demonstrate how AVs can be used as a new nanocarrier to overcome RNA instability in SIGS for crop protection.     

Multistimuli-responsive fluorescence behaviours of aggregation-induced emission small-molecule and electrospun nanofibre films for acid–base vapour sensing

Multistimuli-responsive fluorescent materials have garnered great research interest benefited from their practical applications. Two twisted-structure compounds containing tetraphenylethylene (TPE) as the aggregation-induced emission (AIE) group and a pyridine unit as the acid reaction site to obtain new multistimuli-responsive fluorescent compounds (namely, TPECNPy: TPECNPy-2 and TPECNPy-3) were successfully synthesized through a one-step Knoevenagel condensation reaction. The multiple-stimuli response process of TPECNPy was investigated by means of photoluminescence (PL) spectra and emission colour. The results showed that both TPECNPy compounds with excellent AIE abilities displayed reversible emission wavelength and colour changes in response to multiple external stimuli, including grinding–fuming by CH₂Cl₂ or annealing and HCl-NH₃ vapour fuming. More importantly, fluorescent nanofibre films were prepared by electrospinning a solution of TPECNPy mixed with cellulose acetate (CA), and these exhibited reversible acid-induced discolouration, even with only 1 wt% TPECNPy. The results of this study may inspire strategies for designing multistimuli-responsive materials and preparing fluorescent sensing nanofibre films.     

北部湾茅尾海无瓣海桑红树林地上生物量反演——基于XGBoost机器学习算法

无瓣海桑是广西从自治区外引进的外来红树林树种,采用定量化算法精确估算无瓣海桑地上生物量对红树林生态修复以及海洋蓝碳监测提供经验和方法。论文以广西茅尾海自然保护区无瓣海桑红树林为研究对象,以野外实测无瓣海桑红树林地上生物量数据和Sentinel-1/2卫星提取的后向散射数据、波段数据、植被指数数据和纹理指数数据为数据源,通过分析各遥感因子与实测红树林地上生物量之间的重要性关系,采用极端梯度提升(XGBoost)机器学习算法对比了不同的变量组合对模型精度的影响,最后基于优选的变量组合反演了无瓣海桑红树林的地上生物量。结果表明：(1)研究区无瓣海桑红树林实测树高范围为1.55—13.58m,平均值为8.37m,胸径范围为0.7—41cm,平均值为15.62cm;(2)通过XGBoost算法优选的21个特征变量组合模型拟合效果较好,其模型在测试阶段R²=0.7237,RMSE=21.70Mg/hm²。XGBoost算法反演研究区无瓣海桑地上生物量介于19.14—138.46Mg/hm²之间,平均值为51.92Mg/hm^...     

隆德鱼的新材料及其系统关系的初步分析——辽宁西部晚中生代地层和鱼群研究之一

依据辽宁西部三个地点的新材料和宁夏、内蒙古的标本,对罗家峡隆德鱼(Longdeichthys luojiaxiaensis Liu,1982)的形态特征作了补充描述和修订,并初步分析讨论了“薄鳞鱼类”的研究现状以及隆德鱼的系统关系。认为隆德鱼可能已是鲱头鱼派(Clupeocephala)的成员,与德国和法国基末里期的Leptolepides sprattiformis(Blainville)最为相近。     

植物乳杆菌谷氨酸脱羧酶催化pH范围的理性改造及高效转化生产g-氨基丁酸

γ-氨基丁酸可由谷氨酸脱羧酶(glutamate decarboxylase, GAD)催化谷氨酸一步合成,反应体系成分简单、环境友好。然而,绝大多数GAD酶催化pH偏酸性且反应范围狭小,需要加入无机盐维持最适催化环境,增加了生产附加成分。此外,随着产物γ-氨基丁酸的生成,溶液pH会逐渐上升,不利于GAD酶的持续转化。本研究首先从实验室保藏的一株高产γ-氨基丁酸的植物乳杆菌(Lactobacillus plantarum)中克隆得到谷氨酸脱羧酶LpGAD,基于酶蛋白表面电荷修饰,选择9个位点进行定点突变及组合突变,酶学性质表征结果显示三突变体LpGAD^{S24R/D88R/Y309K}在催化pH区间内酶活力整体提高,尤其拓宽了在偏中性pH 6.0下的酶活,为野生酶的1.68倍。接下来,通过分子动力学模拟解析了酶活提高的机理。此外,将Lpgad与Lpgad^{S24R/D88R/Y309K}突变基因分别在谷氨酸棒杆菌(Corynebacterium glutamicum) E01中过表达,通过优化确定了摇瓶最适转化条件为反应温度40 ℃,菌体量OD₆₀₀=20,底物L-谷氨酸100.0 g/L,5-磷酸吡哆醛添加量为100 μmol/L。5 L发酵罐中,不调节pH,通过分批投料底物L-谷氨酸,γ-氨基丁酸产量高达402.8 g/L,较对照菌株提高了1.63倍。本研究成功拓宽了LpGAD的pH催化范围及酶活,提高了γ氨基丁酸的转化效率,为实现其规模化工业生产奠定了基础。     

Functional data analysis with covariate-dependent mean and covariance structures

Functional data analysis has emerged as a powerful tool in response to the ever-increasing resources and efforts devoted to collecting information about response curves or anything that varies over a continuum. However, limited progress has been made with regard to linking the covariance structures of response curves to external covariates, as most functional models assume a common covariance structure. We propose a new functional regression model with covariate-dependent mean and covariance structures. Particularly, by allowing variances of random scores to be covariate-dependent, we identify eigenfunctions for each individual from the set of eigenfunctions that govern the variation patterns across all individuals, resulting in high interpretability and prediction power. We further propose a new penalized quasi-likelihood procedure that combines regularization and B-spline smoothing for model selection and estimation and establish the convergence rate and asymptotic normality of the proposed estimators. The utility of the developed method is demonstrated via simulations, as well as an analysis of the Avon Longitudinal Study of Parents and Children concerning parental effects on the growth curves of their offspring, which yields biologically interesting results.     

Partition of proteins in aqueous two-phase systems containing charged dextran or hydrophobic PEG

Summary The electrochemical effect of a charged dextran derivative and the hydrophobic effect of hydrophobic chain PEG derivative on partitioning of six types of proteins in PEG/dextran aqueous two-phase systems were investigated- When 1. 6%(w/w)DEAE-dextran was present in the system,the partition coefficient decreased quickly with increasing pH value;when 0. 4% (w/w)PEG pentadecanoic acid ester was present in the system, the partition coefficient of protein with strong hydrophobicity was greatly increased. The experimental results show that the influence of hydrocarbon chain PEG derivative on partition coefficient is closely related to the hydrophobicity of proteins.