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利用基于下一代测序(NGS)的定位方法在拟南芥中分离新型类微生物相关分子模式(MAMP)活性并鉴定同源模式识别受体

Isolation of Novel MAMP-like Activities and Identification of Cognate Pattern Recognition Receptors in Arabidopsis thaliana Using Next-Generation Sequencing (NGS)-Based Mapping.

作者信息

Fan Li, Chae Eunyoung, Gust Andrea A, Nürnberger Thorsten

机构信息

Center of Plant Molecular Biology (ZMBP), Eberhard-Karls-University Tübingen, Tübingen, Germany.

Department of Molecular Biology, Max Planck Institute for Developmental Biology, Tübingen, Germany.

出版信息

Curr Protoc Plant Biol. 2017 Sep;2(3):173-189. doi: 10.1002/cppb.20056.

Abstract

Activation of pattern-triggered plant immunity requires recognition of microbe-derived molecular patterns (MAMPs) by plant-encoded pattern recognition receptors (PRRs). Many plant PRRs are found in selected plant genera only. Transfer of single PRRs or of cassettes expressing several PRRs (PRR stacking) across plant genus boundaries offers the potential to boost disease resistance by improving pathogen recognition features in economically important crop plants. The success of such an approach is most dependent on the availability of a large number of plant PRRs. Here, an efficient method for the identification of novel PRRs in the model plant Arabidopsis thaliana (hereafter, Arabidopsis for simplicity) is described. This method takes advantage of natural variation in microbial pattern sensitivity among hundreds of Arabidopsis accessions currently available. Identification of pattern-sensitive as well as pattern-insensitive accessions facilitates next-generation sequencing (NGS)-assisted mapping of PRRs. This approach is potentially applicable to the identification of PRRs that recognize patterns of any chemical nature. © 2017 by John Wiley & Sons, Inc.

摘要

模式触发的植物免疫激活需要植物编码的模式识别受体(PRR)识别微生物衍生的分子模式(MAMP)。许多植物PRR仅在特定的植物属中发现。跨植物属边界转移单个PRR或表达多个PRR的盒式结构(PRR堆叠),有可能通过改善经济上重要的农作物的病原体识别特征来增强抗病性。这种方法的成功很大程度上取决于大量植物PRR的可用性。在此,描述了一种在模式植物拟南芥(以下简称拟南芥,为简单起见)中鉴定新型PRR的有效方法。该方法利用了目前可用的数百个拟南芥种质中微生物模式敏感性的自然变异。鉴定模式敏感和模式不敏感的种质有助于下一代测序(NGS)辅助的PRR定位。这种方法有可能适用于识别识别任何化学性质模式的PRR。 © 2017约翰威立父子公司

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