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Crop Microbiomes and the Search for Effective Biocontrol of Fusarium graminearum on Wheat

机译:作物微生物群及禾本科镰刀菌的有效生物防治研究

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摘要

Manipulation of naturally occurring microbial communities to reduce plant diseases or increase crop yields requires a thorough understanding of interactions within the phytobiome, in particular, how microbial communities change as plants age, across plant species and organs, and under different land management regimes. Plants were sampled from a wheat-maize-soybean crop rotation site that implements four different land management strategies (conventional, no-till, reduced inputs, and organic). The fungal and bacterial communities of leaves, stems, and roots of wheat, maize, and soybean throughout the growing season were analyzed using fungal internal transcribed spacer and bacterial 16S rRNA gene amplicon sequencing. Analysis of sequence-based fungal communities has some limitations due to the unreliable phylogenetic resolution of DNA sequence alignments. To improve this deficiency, a tool that improved phylogenetic resolution was developed. This tool increases the number of operational taxonomic units which are identified at genus and species levels. Endophytes were isolated from the wheat plants used for microbial community analysis and tested for antagonistic activity toward the wheat pathogen Fusarium graminearum during wheat seedling and head infection. Endophytes on crops can be developed to manage disease, and endophyte-based biocontrols could solve current limitations in F. graminearum disease control. Additionally, functional analysis of F. graminearum secondary metabolite genes provides insight into the function of their gene products for this fungal pathogen. Microbial community structure is affected by various genetic factors of the host plant, environmental factors, and interactions with other organisms. Understanding community responses to these factors is necessary for targeted manipulation of communities to reduce plant disease.
机译:操纵天然存在的微生物群落以减少植物疾病或增加农作物产量,需要透彻了解植物生物组内部的相互作用,尤其是微生物群落如何随着植物的年龄,跨植物物种和器官以及在不同的土地管理制度下而变化。从小麦-玉米-大豆作物轮作场所采样植物,该场所实施了四种不同的土地管理策略(常规,免耕,减少投入和有机)。使用真菌内部转录间隔区和细菌16S rRNA基因扩增子序列分析了整个生长期的小麦,玉米和大豆的叶,茎和根的真菌和细菌群落。由于DNA序列比对的不可靠系统发育解析,基于序列的真菌群落的分析存在某些局限性。为了改善这种缺陷,开发了一种改善系统发育分辨率的工具。该工具增加了在属和种水平上确定的操作分类单位的数量。从用于微生物群落分析的小麦植物中分离出内生菌,并测试了在小麦幼苗和头部感染过程中对小麦病原体禾谷镰孢的拮抗活性。可以开发农作物上的内生菌来控制疾病,而基于内生菌的生物防治可以解决禾本科镰刀菌疾病防治中的当前限制。此外,对禾谷镰刀菌次生代谢物基因的功能分析提供了对其真菌病原体的基因产物功能的了解。微生物群落结构受宿主植物的各种遗传因素,环境因素以及与其他生物的相互作用的影响。了解社区对这些因素的反应对于社区的针对性操作以减少植物病害是必要的。

著录项

  • 作者

    MacCready, Kristi Gdanetz.;

  • 作者单位

    Michigan State University.;

  • 授予单位 Michigan State University.;
  • 学科 Microbiology.;Plant pathology.;Agriculture.
  • 学位 Ph.D.
  • 年度 2018
  • 页码 127 p.
  • 总页数 127
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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