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Fatty acid biomarker analysis to characterize soil microbial communities in soybean agroecosystems with Sclerotinia stem rot disease.

机译:脂肪酸生物标志物分析可表征患有核盘菌茎腐病的大豆农业生态系统中的土壤微生物群落。

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摘要

Soybean (Glycine max (L.) Merr.) is one the major crops produced worldwide. However, soybean is susceptible to many diseases. Sclerotinia stem rot (SSR) disease caused by Sclerotinia sclerotiorum (Lib.) de Bary is considered one of the most important fungal diseases of soybean. It can be controlled by chemicals (e.g. fungicides), by breeding cultivars with disease resistance and by cultural control (e.g. increasing the width between rows, reducing plant populations). A promising and complementary method of controlling SSR disease in the field is the application of biological control agents. Biological control agents introduced in a soil environment will interact with other soil food web organisms, as do the pathogenic organism and infected plants, which may change the genetic and functional diversity in soil microbial communities. Profiling these changes may lead to an improved understanding of the interactions between these players (biological control agents, pathogens, soil biota and plants) in the biological control phenomenom, permiting us to exploit naturally-occurring ecological relationships and develop more sustainable approaches to control soybean diseases. Fatty acid biomarkers analysis was used to profile microbial communities in soils. Two laboratory studies were conducted to evaluate the methods used for extraction and profiling the fatty acid biomarkers from soil samples with a range of soil properties (clay content, organic matter content), The first study investigated the best solvent mixture for recovering fatty acid biomarkers from soil using an automated pressurized solvent extraction (PSE) system. Solvent mixtures containing chloroform and methanol were more efficient at extracting fatty acids from agricultural soils than hexane:2-propanol and acetone. The second study presented an exploratory pyrolysis-mass spectrometry technique to rapidly fingerprint soil lipids extracted from different agroecosystems. Pyrolysis-mass spectrometry discriminated among soils and crop production systems in the same way as the fatty acid profiling. I also report on the efficicacy of biological control agents to control Sclerotinia stem rot disease in soybean. A two-year study was conducted in soybean fields under conventional or no tillage to determine whether Trichoderma virens (SoilGard(TM)) and arbuscular mycorrhizal fungi (a mixture of Glomus intraradices and G. mosseae ), used alone or in combination, could reduce sclerotinia stem rot (SSR) disease incidence. Generally, SSR disease indicators, as well as the soybean yield, were not affected significantly by the biological control treatments. I then studied whether changes in microbial community composition were related to the inoculation of the biological control agents and the disease incidence in soybean fields. Inoculation of biological control agents changes the expression of many soil fatty acids during both years of the trial. Also, in the plots with severely diseased plants, fatty acids biomarkers of gram positive and actinomycetes bacteria were significantly greater than in plots with healthy plants. I conclude that further improvement in laboratory techniques and procedures will permit researchers to efficiently extract and characterize soil lipids, providing new insight into soil organic matter dynamics and soil microbial ecology. Further study will be needed to verify the efficacy and optimize the application method, dose and timing of biocontrol agents to provide protection against SSR disease in soybean fields.
机译:大豆(Glycine max(L.)Merr。)是全世界主要的农作物之一。但是,大豆容易感染多种疾病。由Sbarrotiania sclerotiorum(Lib。)de Bary引起的核盘菌茎腐病(SSR)被认为是大豆最重要的真菌病之一。可以通过化学药品(例如杀真菌剂),通过育种具有抗病性的品种以及通过文化控制(例如增加行间宽度,减少植物种群)来控制它。在本领域中控制SSR疾病的一种有前途的补充方法是生物防治剂的应用。引入土壤环境的生物防治剂将与其他土壤食物网生物相互作用,致病性生物和受感染植物也会相互作用,这可能会改变土壤微生物群落的遗传和功能多样性。分析这些变化可能会导致人们更好地理解生物控制现象中这些参与者(生物控制剂,病原体,土壤生物群和植物)之间的相互作用,从而使我们能够利用自然发生的生态关系,并开发出更可持续的方法来控制大豆疾病。脂肪酸生物标志物分析用于分析土壤中的微生物群落。进行了两项实验室研究,以评估用于从具有多种土壤特性(粘土含量,有机物含量)的土壤样品中提取和分析脂肪酸生物标志物的方法,第一项研究研究了从中回收脂肪酸生物标志物的最佳溶剂混合物。使用自动加压溶剂萃取(PSE)系统处理土壤。与己烷:2-丙醇和丙酮相比,含氯仿和甲醇的溶剂混合物从农业土壤中提取脂肪酸的效率更高。第二项研究提出了一种探索性的热解质谱技术,以快速鉴定从不同农业生态系统中提取的土壤脂质。热解质谱法与脂肪酸谱分析一样,可在土壤和农作物生产系统中进行区分。我还报告了生物防治剂控制大豆核盘菌茎腐病的功效。在常规或不耕作的大豆田上进行了为期两年的研究,以确定单独或组合使用的木霉菌(SoilGardTM)和丛枝菌根真菌(Glomus intraradices和G. mosseae的混合物)是否可以减少核盘菌茎腐病(SSR)的发病率。通常,SSR疾病指标以及大豆产量不受生物学控制处理的显着影响。然后,我研究了微生物群落组成的变化是否与生物防治剂的接种以及大豆田中的疾病发生率有关。在两年的试验中,接种生物防治剂都会改变许多土壤脂肪酸的表达。同样,在带有严重病害植物的地块中,革兰氏阳性和放线菌细菌的脂肪酸生物标记显着大于带有健康植物的地块。我得出结论,实验室技术和程序的进一步改进将使研究人员能够有效地提取和表征土壤脂质,从而为土壤有机物动力学和土壤微生物生态学提供新见解。需要进一步的研究来验证功效,并优化生物防治剂的施用方法,剂量和时机,以提供针对大豆田中SSR病的保护作用。

著录项

  • 作者

    Jeannotte, Richard.;

  • 作者单位

    McGill University (Canada).;

  • 授予单位 McGill University (Canada).;
  • 学科 Agriculture Plant Pathology.
  • 学位 Ph.D.
  • 年度 2007
  • 页码 165 p.
  • 总页数 165
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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