禾草内生真菌作为生防因子的潜力分析

早熟禾亚科多种禾草可与Neotyphodium内生真菌形成禾草-内生真菌共生体, 这种植物-微生物共生体性状较为稳定, 且在自然界中广泛存在。禾草-内生真菌共生体稳定的互利共生关系不但保证了内生真菌所需的全部营养物质, 而且共生体产生的次生代谢物又可显著提高宿主禾草对生物胁迫的抗逆性。众多研究表明, 内生真菌的侵染可显著提高宿主禾草对虫害、病害及伴生植物等多种生物胁迫的抗性。据不完全统计, 禾草内生真菌对蛛形纲、线虫纲、昆虫纲3个纲至少79个种的害虫表现出较明显的抗性, 对至少22个种的病原真菌表现出明显的抗性。尽管利用内生真菌进行禾草品种选育及其品质改良的技术日趋成熟, 但是内生真菌在不同宿主禾草之间高效的替代转化技术, 及其在宿主体内遗传的稳定性仍有待于进一步深入探索。研究者把禾草内生真菌作为生防手段, 在未来的应用过程中不应只考虑其与宿主禾草之间的共生特异性, 而应更全面地分析禾草-内生真菌-生态环境之间的相互关系, 让内生真菌更好地为人类服务。     

荒漠草原猪毛蒿种群繁殖特征的土壤驱动因子分析

繁殖是植物生命活动的重要环节, 了解植物的繁殖特征是解释植物生态适应性和制定有效管理措施的重要依据。该研究以荒漠草原猪毛蒿(Artemisia scoparia)种群为研究对象, 通过测定不同土壤类型的理化性质和猪毛蒿的繁殖特征, 以期探讨影响其繁殖特征的主要土壤驱动因子。结果表明: 灰钙土、风沙土和基岩风化残积土的水溶性碳含量、全氮含量、全磷含量、全盐含量、土壤水分含量、土壤硬度存在显著差异。猪毛蒿平均个体大小、单株头状花序的平均质量和数量均以灰钙土生境下最大, 基岩风化残积土最小。繁殖分配在不同土壤类型下无显著差异, 但与单个头状花序质量、单株头状花序数量和质量间呈极显著正相关关系。单株头状花序数量与单个头状花序质量间呈负相关关系。在风沙土生境下, 单株头状花序质量主要受到土壤水溶性碳含量、土壤水分含量以及pH值的共同影响; 单株头状花序数量受全盐含量的影响最大; 繁殖分配和单个头状花序质量主要受全碳含量的影响。灰钙土生境下, 单株头状花序质量与土壤水溶性碳含量、土壤水分含量和有机碳含量呈正相关关系; 速效氮含量显著影响着单株头状花序数量。而基岩风化残积土生境下, 繁殖特征的变异主要受到土壤水溶性碳含量、土壤硬度、土壤水分含量、全磷和速效磷含量的影响。综合分析发现, 土壤因子对猪毛蒿繁殖特征的影响程度不同, 其中单株头状花序数量和质量极显著地受到土壤水溶性碳含量和土壤水分含量的影响, 繁殖分配和单个头状花序质量与土壤水溶性碳含量、土壤水分含量呈负相关关系。因此, 土壤水溶性碳含量和土壤水分是荒漠草原地区影响猪毛蒿种群繁殖特征的主要土壤因子。     

Spatial variations of ginsenosides in Panax ginseng and their impact factors

Aims This study aimed to reveal how ginsenosides content in Panax ginseng varied spatially and the regulating roles of environmental factors.Methods Twenty eight P. ginseng samples were collected from Heilongjiang, Jilin and Liaoning provinces, and nine kinds of ginsenosides content in P. ginseng were measured. The one-way ANOVA was used to evaluate their spatial variations. The method of UPLC was employed to determine the content of nine kinds of ginsenosides in P. ginseng. The principal component analysis (PCA), correlation analysis (CA) and redundancy analysis (RDA) were used to analyze the relationship between ginsenosides content and ecological factors (including climate and soil factors).Important findings The results showed that the content of ginsenosides in P. ginseng from Jilin and Liaoning was similar, and higher than that in Heilongjiang. Precipitation was the most important climate factor affecting the contents of ginsenosides. High temperature and strong sunshine limited the content of ginsenosides. The analysis on ginsenosides and soil factors indicated that soil nitrogen content, Fe, K, organic matter, pH value, Mn, P, Zn all had significant influences on the content of ginsenosides.     

Phenotypic variations in natural populations of Amygdalus pedunculata

Aims Our objectives were to determine the phenotypic variations, adaption and distribution patterns in seven natural Amygdalus pedunculata populations.Methods We analyzed 14 phenotypic traits from 120 individuals in seven populations of A. pedunculata by variance analysis, correlation analysis, and cluster analysis.Important findings Results showed that there were plentiful phenotypic variation within and among populations. In particular, the phenotypic variation within population was 40.91%, higher than that among populations (35.29%), which indicated that the phenotypic variation within population was the main source of the phenotypic variation in A. pedunculata. Mean differentiation coefficient was 45.90%, and mean coefficient of variation of 14 traits was 15.59%, ranged from 9.39% to 31.98%. Mean annual temperature, latitude, length of frost-free period, longitude and altitude appear to be prominent ecological factors influencing phenotypic traits. Mean annual temperature and length of frost-free period were key indicators to phenotypic of A. pedunculata in different site conditions. According to principal component analysis and unweighted pair-group method with arithmetic means (UPGMA) cluster analysis, the seven populations of A. pedunculata could be divided into two groups. In mountainous region, A. pedunculata’s leaf blade was usually rotund to oblong, fruit nearly spherical shape with shorter fruit stem, stone was usually ovoid to spherical shape. In contrast, in sandy region, leaf blade was long oval to ovate-lanceolate, fruit and stone was usually flat ovoid with longer fruit stem. Our results provide critical information for the resource collection and breeding of this ecologically important species.     

Pseudomonas fluorescens and closely-related fluorescent pseudomonads as biocontrol agents of soil-borne phytopathogens

Many strains of Pseudomonas fluorescens show potential for biological control of phytopathogens especially root pathogens. In taxonomic terms, several of them are indeed P. fluorescens sensu stricto , while others belong in fact to neighbouring species of the ' P. fluorescens ' complex or to ill-defined related species within the fluorescent Pseudomonas spp. These bacteria have become prominent models for rhizosphere ecological studies and analysis of bacterial secondary metabolism, and in recent years knowledge on their plant-beneficial traits has been considerably enhanced by widening the focus beyond the case of phytopathogen-directed antagonism. Current genomic analyses of rhizosphere competence and biocontrol traits will likely lead to the development of novel tools for effective management of indigenous and inoculated P. fluorescens biocontrol agents and a better exploitation of their plant-beneficial properties for sustainable agriculture.     

Potential of soil-derived fungal biocontrol agents applied as a soil amendment and a seed coating to control Verticillium wilt of sugar beet

Verticillium dahliae (Vd) is an emerging threat to sugar beet production. Control measures such as fungicides are not available and the utilisation of resistant cultivars is very limited. Hence, we explored the potential of two soil-derived fungal biocontrol agents (BCAs), Fusarium oxysporum F2 (FoF2) and Verticillium tricorpus 1808 (Vt1808), against Verticillium wilt of sugar beet. Pathogenicity tests revealed that Vd caused over 90% disease incidence and severity and led to a significant yield reduction, whereas BCAs neither inhibited nor promoted plant growth. Germination rate was higher in BCA-treated seeds compared to untreated ones. Viability of both BCAs was significantly reduced after six months of storage in liquid methylcellulose formulation (MC), while BCA concentrations remained stable on stored seeds treated with MC. In contrast, Vt1808 produced in sand-rye flour formulation remained 100% viable after storage. Similarly, post-storage analysis of the FoF2 talcum powder formulation revealed improved colony forming units, but increments were not significant. In vitro, both BCAs caused no growth inhibition zones and only insignificant Vd growth reductions were observed. In the greenhouse, soil amendment with a higher dose of FoF2:Vt1808 mixture resulted in substantial reductions of disease severity on the crown (33.3%), disease incidence (55.6%) and disease severity (68.8%) on the beet as well as an improved yield (32.9%). In contrast, seed coating did not reduce symptoms on the crown and on the beet. In the field, both BCAs did not provide significant disease reductions. Nevertheless, a promising result was achieved with the application of FoF2. Despite the need for improvement of the biocontrol activity, the results of this study demonstrate the suitability of the optimised BCA formulations for utilisation in commercial sugar beet production.     

Lr34 multi-pathogen resistance ABC transporter: molecular analysis of homoeologous and orthologous genes in hexaploid wheat and other grass species

The Triticum aestivum (bread wheat) disease resistance gene Lr34 confers durable, race non-specific protection against three fungal pathogens, and has been a highly relevant gene for wheat breeding since the green revolution. Lr34, located on chromosome 7D, encodes an ATP-binding cassette (ABC) transporter. Both wheat cultivars with and without Lr34-based resistance encode a putatively functional protein that differ by only two amino acid polymorphisms. In this study, we focused on the identification and characterization of homoeologous and orthologous Lr34 genes in hexaploid wheat and other grasses. In hexaploid wheat we found an expressed and putatively functional Lr34 homoeolog located on chromosome 4A, designated Lr34-B. Another homoeologous Lr34 copy, located on chromosome 7A, was disrupted by the insertion of repetitive elements. Protein sequences of LR34-B and LR34 were 97% identical. Orthologous Lr34 genes were detected in the genomes of Oryza sativa (rice) and Sorghum bicolor (sorghum). Zea mays (maize), Brachypodium distachyon and Hordeum vulgare (barley) lacked Lr34 orthologs, indicating independent deletion of this particular ABC transporter. Lr34 was part of a gene-rich island on the wheat D genome. We found gene colinearity on the homoeologous A and B genomes of hexaploid wheat, but little microcolinearity in other grasses. The homoeologous LR34-B protein and the orthologs from rice and sorghum have the susceptible haplotype for the two critical polymorphisms distinguishing the LR34 proteins from susceptible and resistant wheat cultivars. We conclude that the particular Lr34-haplotype found in resistant wheat cultivars is unique. It probably resulted from functional gene diversification that occurred after the polyploidization event that was at the origin of cultivated bread wheat.     

Integration of lipidomics and metabolomics for in-depth understanding of cellular mechanism and disease progression

Mass spectrometry(MS)-based omics technologies are now widely used to profile small molecules in multiple matrices to confer comprehensive snapshots of cellular metabolic phenotypes.The metabolomes of cells,tissues,and organisms comprise a variety of molecules including lipids,amino acids,sugars,organic acids,and so on.Metabolomics mainly focus on the hydrophilic classes,while lipidomics has emerged as an independent omics owing to the complexities of the organismal lipidomes.The potential roles of lipids and small metabolites in disease pathogenesis have been widely investigated in various human diseases,but system-level understanding is largely lacking,which could be partly attributed to the insufficiency in terms of metabolite coverage and quantitation accuracy in current analytical technologies.While scientists are continuously striving to develop high-coverage omics approaches,integration of metabolomics and lipidomics is becoming an emerging approach to mechanistic investigation.Integration of metabolome and lipidome offers a complete atlas of the metabolic landscape,enabling comprehensive network analysis to identify critical metabolic drivers in disease pathology,facilitating the study of interconnection between lipids and other metabolites in disease progression.In this review,we summarize omics-based findings on the roles of lipids and metabolites in the pathogenesis of selected major diseases threatening public health.We also discuss the advantages of integrating lipidomics and metabolomics for in-depth understanding of molecular mechanism in disease pathogenesis.