PDF(3617 KB)
马尾松感染松材线虫后的早期诊断指标筛选
郑哲, 李越, 陈凤毛, 李敏, 王梦瑶, 王立超
南京林业大学学报(自然科学版) ›› 2025, Vol. 49 ›› Issue (6) : 81-88.
PDF(3617 KB)
PDF(3617 KB)
马尾松感染松材线虫后的早期诊断指标筛选
Early diagnostic indicator screening after the infection of Pinus massoniana by Bursaphelenchus xylophilus
【目的】利用受不同线虫侵染的马尾松(Pinus massoniana)茎干部位代谢组,筛选出适合用于松材线虫病(pine wilt disease,PWD)早期诊断的代谢物指标,以有效提高对松材线虫病的防控。【方法】选择3种具有不同致病力的线虫:强毒力松材线虫(Bursaphelenchus xylophilus)虫株FCBX,强毒力拟松材线虫(Bursaphelenchus mucronatus)虫株BM7,无毒力拟松材线虫(Bursaphelenchus mucronatus)虫株FCBM,均于南京林业大学森林病理实验室分离和培养。将其接种至生长状态相似的4年生马尾松,以验证其对马尾松的毒力,空白对照(CK)接种无菌水。利用超高效液相色谱和串联质谱(ultra-high-performance liquid chromatography-tandem mass spectrometry, UPLC-MS/MS)测定接种3 d后马尾松茎干部位的代谢组分,利用主成分分析对代谢组进行质控,通过代谢物表达量差异P值和投影重要性(variable importance projection, VIP)值相结合的方法筛选出在松材线虫接种后特异性表达的代谢产物,并利用高效液相色谱仪(ultra-performance liquid chromatography, UPLC)对筛选出的特异性代谢物进行靶向检测和验证。【结果】马尾松茎干部位检测代谢产物的结果可靠,3种线虫对马尾松的毒力有明显差异。 7-脱氢胆固醇(7-dehydrocholesterol)是在接种不同线虫的马尾松代谢比较组中共同的代谢物,利用高效液相色谱法测定其在马尾松接种不同线虫3、7、21 d后的含量,该物质只在接种强毒力松材线虫株FCBX处理组中可以检测到,含量(质量分数)分别为4.09、66.77、28.8 μg/g,在无菌水对照处理组(CK)以及接种强毒力和无毒力两种拟松材线虫株BM7、FCBM处理组中无法检测到7-脱氢胆固醇的存在。【结论】在马尾松代谢组中筛选出的7-脱氢胆固醇,是马尾松被松材线虫早期侵染后的一种特异性代谢物,该特异性可以将松材线虫侵染与其他不同种线虫侵染的马尾松区分开,因此检测7-脱氢胆固醇含量可以用于松材线虫病的早期诊断。
【Objective】This study aims to identify suitable metabolites for the early diagnosis of pine wilt disease (PWD). To achieve this, the metabolome of stem segments from Pinus massoniana infected by different nematodes was analyzed, with the goal of improving the prevention and control of PWD.【Method】With four-year-old P. massoniana trees with similar growth characteristics were inoculated with three different nematode species, each with varying pathogenicity. These included the highly virulent Bursaphelenchus xylophilus (nematode strain FCBX), the highly virulent B. mucronatus (nematode strain BM7), and the non-virulent B. mucronatus (nematode strain FCBM). These nematodes were isolated and cultured in the Forest Pathology Laboratory of Nanjing Forestry University. Inoculation of P. massoniana trees with these nematodes were conducted under controlled conditions to assess their virulence. A sterile water control group (CK) was also included. Three days after injection, the metabolome of stem segments from P. massoniana was analyzed using ultra-high-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). Principal component analysis (PCA) was used to ensure quality control of the metabolomic data. Metabolites with specific expression following B. xylophilus inoculation were identified through a combination of P-values and variable importance in projection (VIP) scores. Targeted detection and validation of these metabolites were conducted using ultra-performance liquid chromatography (UPLC).【Result】The three nematode species exhibited significant differences in virulence toward P. massoniana. Metabolomic analysis of stem segments revealed reliable results. One key finding was that 7-dehydrocholesterol was a common differential metabolite across the comparative metabolomes of P. massoniana inoculated with different nematodes. Levels of this compound were measured using UPLC on the 3rd, 7th, and 21st days after inoculation. It was detectable only in the group inoculated with the highly virulent B. xylophilus (nematode strain FCBX), with concentrations of 4.09, 66.77, and 28.8 μg/g, respectively. 7-dehydrocholesterol was undetectable in the sterile water control group (CK), as well as in the groups treated with either highly virulent B. mucronatus (nematode strain BM7) or non-virulent B. mucronatus (nematode strain FCBM).【Conclusion】7-dehydrocholesterol, identified through the metabolomic profiling of P. massoniana, was found to be a specific metabolite following early infection by B. xylophilus. This metabolite's specificity allows it to distinguish B. xylophilus infection from infections caused by other nematodes. Therefore, the detection of 7-dehydrocholesterol levels could serve as an effective tool for the early diagnosis of pine wilt disease.
松材线虫病 / 松材线虫 / 拟松材线虫 / 马尾松 / 代谢组学 / 7-脱氢胆固醇 / 液相色谱法 / 病害检测
pine wilt disease / Bursaphelenchus xylophilus / B. mucronatus / Pinus massoniana / metabonomics / 7-dehydrocholesterol / liquid chromatography / disease detection
| [1] |
李文华, 刘青华, 周志春, 等. 砧木及抗性马尾松松脂组分对松材线虫的响应[J]. 林业科学研究, 2023, 36(4):1-11.
|
| [2] |
|
| [3] |
叶建仁, 吴小芹. 松材线虫病研究进展[J]. 中国森林病虫, 2022, 41(3):1-10.
|
| [4] |
|
| [5] |
|
| [6] |
|
| [7] |
Tomato crops suffer attacks of various pathogens that cause large production losses. Late blight caused by Phytophthora infestans is a devastating disease in tomatoes because of its difficultly to control. Here, we applied metabolomics based on liquid chromatography–mass spectrometry (LC-MS) and metabolic profiling by matrix-assisted laser desorption ionization mass spectrometry (MALDI-MS) in combination with multivariate data analysis in the early detection of late blight on asymptomatic tomato plants and to discriminate infection times of 4, 12, 24, 36, 48, 60, 72 and 96 h after inoculation (hpi). MALDI-MS and LC-MS profiles of metabolites combined with multivariate data analysis are able to detect early-late blight-infected tomato plants, and metabolomics based on LC-MS discriminates infection times in asymptomatic plants. We found the metabolite tomatidine as an important biomarker of infection, saponins as early infection metabolite markers and isocoumarin as early and late asymptomatic infection marker along the post infection time. MALDI-MS and LC-MS analysis can therefore be used as a rapid and effective method for the early detection of late blight-infected tomato plants, offering a suitable tool to guide the correct management and application of sanitary defense approaches. LC-MS analysis also appears to be a suitable tool for identifying major metabolites of asymptomatic late blight-infected tomato plants.
|
| [8] |
|
| [9] |
王俊伟, 胡龙娇, 吴小芹. 不同抗性松树家系中松材线虫致病力和繁殖力比较[J]. 南京林业大学学报(自然科学版), 2025, 49(1):21-27.
【目的】探究在自然条件下松材线虫(Bursaphelenchus xylophilus)与不同抗病力松树家系互作后,是否对松材线虫的致病力和繁殖力产生影响,并分析致病力差异明显的松材线虫虫株与松树互作后其细胞色素 P450(Cytochrome P450)家族相关基因表达是否发生变化。【方法】对前期引自日本的抗松材线虫病赤松(Pinus densiflora)和黑松(P. thunbergii)基因库松树进行田间发病状况调查,发现不同松树家系的抗病能力存在显著差异。对松树基因库中各家系枯死木取样,经松材线虫自动化分子检测后,将确定为松材线虫致死的5个赤松家系和5个黑松家系样木进行线虫分离,采用单异活体培养共获得10个松材线虫虫株,检测这些虫株的致病力和繁殖力,并收集其中4个致病力差异明显的松材线虫虫株,采用RT-qPCR技术检测其与黑松互作后的2个细胞色素P450相关基因相对表达量差异。【结果】同一地块同一树种中抗病能力越强的家系,获得的松材线虫虫株在单异活体培养下繁殖量越低,相反抗病能力越弱的家系,获得的松材线虫繁殖量越高;将各虫株接种2年生黑松发现,5个黑松家系病死木中获得的线虫虫株致病力测定结果与松树家系的抗性强弱呈正相关,其中抗病能力最强的家系34病死木中获得的松材线虫虫株JYK-34的致病力最强。而赤松家系的抗性强弱与松材线虫的致病力并不呈正相关,其中来自抗病能力较强的家系18病死木分离的松材线虫虫株JYK-18的致病力却较弱;与对照线虫相比,致病力差异明显的4个虫株与2年生黑松苗互作30 d后,它们的2个细胞色素P450相关基因BxCYP33C4和BxCYP33C9的相对表达量增长倍数与虫株的致病力强弱呈正相关,各虫株依次为JYK-34>JYK-17>JYK-18>JYK-31。【结论】松材线虫繁殖力的分化在赤松和黑松两个树种不同抗病家系中规律相同;抗性松树基因库中同一地块不同抗病力松树分离的松材线虫的致病力并非单一类型,存在致病力差异的虫株;松材线虫细胞色素P450相关基因BxCYP33C4和BxCYP33C9不仅参与松材线虫与松树的互作过程,还是松材线虫重要的致病相关基因。
|
| [10] |
|
| [11] |
|
| [12] |
Obtaining comprehensive, untargeted metabolic profiles for complex solid samples, e.g., animal tissues, requires sample preparation and access to information-rich analytical methodologies such as mass spectrometry (MS). Here we describe a practical two-step process for tissue samples that is based on extraction into 'aqueous' and 'organic' phases for polar and nonpolar metabolites. Separation methods such as ultraperformance liquid chromatography (UPLC) in combination with MS are needed to obtain sufficient resolution to create diagnostic metabolic profiles and identify candidate biomarkers. We provide detailed protocols for sample preparation, chromatographic procedures, multivariate analysis and metabolite identification via tandem MS (MS/MS) techniques and high-resolution MS. By using these optimized approaches, analysis of a set of samples using a 96-well plate format would take ~48 h: 1 h for system setup, 8-10 h for sample preparation, 34 h for UPLC-MS analysis and 2-3 h for preliminary/exploratory data processing, representing a robust method for untargeted metabolic screening of tissue samples.
|
| [13] |
|
| [14] |
|
| [15] |
MassBank is the first public repository of mass spectra of small chemical compounds for life sciences (<3000 Da). The database contains 605 electron‐ionization mass spectrometry(EI‐MS), 137 fast atom bombardment MS and 9276 electrospray ionization (ESI)‐MSn data of 2337 authentic compounds of metabolites, 11 545 EI‐MS and 834 other‐MS data of 10 286 volatile natural and synthetic compounds, and 3045 ESI‐MS2 data of 679 synthetic drugs contributed by 16 research groups (January 2010). ESI‐MS2 data were analyzed under nonstandardized, independent experimental conditions. MassBank is a distributed database. Each research group provides data from its own MassBank data servers distributed on the Internet. MassBank users can access either all of the MassBank data or a subset of the data by specifying one or more experimental conditions. In a spectral search to retrieve mass spectra similar to a query mass spectrum, the similarity score is calculated by a weighted cosine correlation in which weighting exponents on peak intensity and the mass‐to‐charge ratio are optimized to the ESI‐MS2 data. MassBank also provides a merged spectrum for each compound prepared by merging the analyzed ESI‐MS2 data on an identical compound under different collision‐induced dissociation conditions. Data merging has significantly improved the precision of the identification of a chemical compound by 21–23% at a similarity score of 0.6. Thus, MassBank is useful for the identification of chemical compounds and the publication of experimental data. Copyright © 2010 John Wiley & Sons, Ltd.
|
| [16] |
|
| [17] |
|
| [18] |
|
| [19] |
|
| [20] |
国家卫生和计划生育委员会, 国家食品药品监督管理总局. 食品安全国家标准食品中胆固醇的测定:GB 5009.128—2016[S]. 北京: 中国标准出版社,2017:1-22.
National Health and Family Planning Commission of the People's Republic of China, China Food and Drug Administration. National food safety standard-determination of cholesterol in foods:GB 5009.128—2016[S]. Beijing: Standards Press of China,2017:1-22.
|
| [21] |
Metabolism has an essential role in biological systems. Identification and quantitation of the compounds in the metabolome is defined as metabolic profiling, and it is applied to define metabolic changes related to genetic differences, environmental influences and disease or drug perturbations. Chromatography-mass spectrometry (MS) platforms are frequently used to provide the sensitive and reproducible detection of hundreds to thousands of metabolites in a single biofluid or tissue sample. Here we describe the experimental workflow for long-term and large-scale metabolomic studies involving thousands of human samples with data acquired for multiple analytical batches over many months and years. Protocols for serum- and plasma-based metabolic profiling applying gas chromatography-MS (GC-MS) and ultraperformance liquid chromatography-MS (UPLC-MS) are described. These include biofluid collection, sample preparation, data acquisition, data pre-processing and quality assurance. Methods for quality control-based robust LOESS signal correction to provide signal correction and integration of data from multiple analytical batches are also described.
|
| [22] |
|
| [23] |
李卫斌, 安炳贞, 孔玉辉, 等. 基于无人机遥感影像的松材线虫病监测方法概述[J]. 林业工程学报, 2023, 8(2):21-29.
|
| [24] |
刘宁, 张晓丽, 王书涵, 等. 基于蒸腾速率与光谱特征的松材线虫病害预测[J]. 西北农林科技大学学报(自然科学版), 2015, 43(6):129-135.
|
| [25] |
|
| [26] |
|
| [27] |
Plants defend themselves from most microbial attacks via mechanisms including cell wall fortification, production of antimicrobial compounds, and generation of reactive oxygen species. Successful pathogens overcome these host defenses, as well as obtain nutrients from the host. Perturbations of plant metabolism play a central role in determining the outcome of attempted infections. Metabolomic analyses, for example between healthy, newly infected and diseased or resistant plants, have the potential to reveal perturbations to signaling or output pathways with key roles in determining the outcome of a plant–microbe interaction. However, application of this -omic and its tools in plant pathology studies is lagging relative to genomic and transcriptomic methods. Thus, it is imperative to bring the power of metabolomics to bear on the study of plant resistance/susceptibility. This review discusses metabolomics studies that link changes in primary or specialized metabolism to the defense responses of plants against bacterial, fungal, nematode, and viral pathogens. Also examined are cases where metabolomics unveils virulence mechanisms used by pathogens. Finally, how integrating metabolomics with other -omics can advance plant pathology research is discussed.
|
| [28] |
|
| [29] |
DE MORAES PONTES J G,
Huanglongbing (HLB) is a disease of worldwide incidence that affects orange trees, among other commercial varieties, implicating in great losses to the citrus industry. The disease is transmitted through Diaphorina citri vector, which inoculates Candidatus Liberibacter spp. in the plant sap. HLB disease lead to blotchy mottle and fruit deformation, among other characteristic symptoms, which induce fruit drop and affect negatively the juice quality. Nowadays, the disease is controlled by eradication of sick, symptomatic plants, coupled with psyllid control. Polymerase chain reaction (PCR) is the technique most used to diagnose the disease; however, this methodology involves high cost and extensive sample preparation. Mass spectrometry imaging (MSI) technique is a fast and easily handled sample analysis that, in the case of Huanglongbing allows the detection of increased concentration of metabolites associated to the disease, including quinic acid, phenylalanine, nobiletin and sucrose. The metabolites abieta-8,11,13-trien-18-oic acid, suggested by global natural product social molecular networking (GNPS) analysis, and 4-acetyl-1-methylcyclohexene showed a higher distribution in symptomatic leaves and have been directly associated to HLB disease. Desorption electrospray ionization coupled to mass spectrometry imaging (DESI-MSI) allows the rapid and efficient detection of biomarkers in sweet oranges infected with Candidatus Liberibacter asiaticus and can be developed into a real-time, fast-diagnostic technique.
|
| [30] |
20(S)-Hydroxyvitamin D3 (20(OH)D3) is an endogenous metabolite produced by the action of CYP11A1 on the side chain of vitamin D3 (D3). 20(OH)D3 can be further hydroxylated by CYP11A1, CYP27A1, CYP24A1 and/or CYP27B1 to several hydroxyderivatives. CYP11A1 also hydroxylates D3 to 22-monohydroxyvitamin D3 (22(OH)D3), which is detectable in the epidermis. 20-Hydroxy-7-dehydrocholesterol (20(OH)-7DHC) has been detected in the human epidermis and can be phototransformed into 20(OH)D3 following the absorption of ultraviolet B (UVB) energy by the B-ring. 20(OH)D3 and its hydroxyderivatives have anti-inflammatory, pro-differentiation and anti-proliferative effects, comparable to 1,25-dihydroxyvitamin D3 (1,25(OH)2D3). Since cytochromes P450 with 20- or 25-hydroxylase activity are found in insects participating in ecdysone synthesis from 7-dehydrocholesterol (7DHC), we tested whether D3-hydroxyderivatives are present in honey, implying their production in bees. Honey was collected during summer in the Birmingham area of Alabama or purchased commercially and extracted and analyzed using LC-MS. We detected a clear peak of m/z = 423.324 [M + Na]+ for 20(OH)D3 corresponding to a concentration in honey of 256 ng/g. We also detected peaks of m/z = 383.331 [M + H − H2O]+ for 20(OH)-7DHC and 25(OH)D3 with retention times corresponding to the standards. We further detected species with m/z = 407.329 [M + Na]+ corresponding to the RT of 7DHC, D3 and lumisterol3 (L3). Similarly, peaks with m/z = 399.326 [M + H − H2O]+ were detected at the RT of 1,25(OH)2D3 and 1,20-dihydroxyvitamin D3 (1,20(OH)2D3). Species corresponding to 20-monohydroxylumisterol3 (20(OH)L3), 22-monohydroxyvitamin D3 (22(OH)D3), 20,23-dihydroxyvitamin D3 (20,23(OH)2D3), 20,24/25/26-dihydroxyvitamin D3 (20,24/25/26(OH)2D3) and 1,20,23/24/25/26-trihydroxyvitamin D3 (1,20,23/24/25/26(OH)3D3) were not detectable above the background. In conclusion, the presence of 7DHC and D3 and of species corresponding to 20(OH)-7DHC, 20(OH)D3, 1,20(OH)2D3, 25(OH)D3 and 1,25(OH)2D3 in honey implies their production in bees, although the precise biochemistry and photochemistry of these processes remain to be defined.
|
| [31] |
|
| [32] |
陈艳, 邓昌蓉, 侯全刚, 等. UV-B辐射对不同品种(品系)辣椒幼苗光合特性及UVR8表达的影响[J]. 江苏农业学报, 2023, 39(7):1449-1459.
|
| [33] |
As the most severe forestry quarantine disease in several countries, pine wilt disease (PWD) causes substantial economic losses and poses a significant threat to the forest ecosystem. It is necessary to find a rapid and sensitive method for the early diagnosis of the disease to control the development of the disease effectively. This paper investigated the effect of Bursaphelenchus xylophilus (the pinewood nematode; PWN) on the chlorophyll fluorescence kinetic curve (OJIP curve) and the parameters of needles using four-year-old Pinus thunbergii as experimental materials and chlorophyll fluorescence analysis as a technical tool. It was shown by the results in the OJIP curve that the fluorescence intensity of the inoculated plants was significantly increased at points O and I. Additionally, the relative variable fluorescence intensity at points K and J was comparable to that of the control plants. Several chlorophyll fluorescence parameters of the treatment significantly increased or decreased with disease progression. At the same time, the control group had no significant changes in each parameter. Therefore, chlorophyll fluorescence parameters can be used as indicators for the early diagnosis of PWD, among which the DIo/RC parameter was the best. In summary, PWN invasion will produce fluorescence on the PSII of P. thunbergii, and its chlorophyll fluorescence parameters are expected to achieve early PWD diagnosis.
|
/
| 〈 |
|
〉 |