Department of Plant and Microbial Biology, North Carolina State University, Raleigh, NC 27607, U.S.A.
Department of Biology and Howard Hughes Medical Institute, University of North Carolina, Chapel Hill, NC 27599, U.S.A.
Mol Plant Microbe Interact. 2022 Nov;35(11):977-988. doi: 10.1094/MPMI-05-22-0116-TA. Epub 2022 Oct 31.
Metaproteomics is a powerful tool for the characterization of metabolism, physiology, and functional interactions in microbial communities, including plant-associated microbiota. However, the metaproteomic methods that have been used to study plant-associated microbiota are very laborious and require large amounts of plant tissue, hindering wider application of these methods. We optimized and evaluated different protein extraction methods for metaproteomics of plant-associated microbiota in two different plant species ( and maize). Our main goal was to identify a method that would work with low amounts of input material (40 to 70 mg) and that would maximize the number of identified microbial proteins. We tested eight protocols, each comprising a different combination of physical lysis method, extraction buffer, and cell-enrichment method on roots from plants grown with synthetic microbial communities. We assessed the performance of the extraction protocols by liquid chromatography-tandem mass spectrometry-based metaproteomics and found that the optimal extraction method differed between the two species. For roots, protein extraction by beating whole roots with small beads provided the greatest number of identified microbial proteins and improved the identification of proteins from gram-positive bacteria. For maize, vortexing root pieces in the presence of large glass beads yielded the greatest number of microbial proteins identified. Based on these data, we recommend the use of these two methods for metaproteomics with and maize. Furthermore, detailed descriptions of the eight tested protocols will enable future optimization of protein extraction for metaproteomics in other dicot and monocot plants. [Formula: see text] Copyright © 2022 The Author(s). This is an open access article distributed under the CC BY 4.0 International license.
宏蛋白质组学是一种强大的工具,可用于表征微生物群落(包括植物相关微生物群)中的代谢、生理和功能相互作用。然而,用于研究植物相关微生物群的宏蛋白质组学方法非常繁琐,需要大量的植物组织,这限制了这些方法的广泛应用。我们针对两种不同的植物(拟南芥和玉米)优化和评估了用于植物相关微生物群宏蛋白质组学的不同蛋白质提取方法。我们的主要目标是确定一种适用于低输入量(40 至 70 毫克)的方法,并最大限度地增加鉴定出的微生物蛋白质数量。我们在人工合成微生物群落中生长的植物根部分别测试了八种方案,每种方案都由不同的物理裂解方法、提取缓冲液和细胞富集方法组合而成。我们通过基于液相色谱-串联质谱的宏蛋白质组学评估了提取方案的性能,发现两种物种的最佳提取方法不同。对于拟南芥根,用小珠粒击打整个根的方法进行蛋白质提取可提供最多的微生物蛋白质鉴定,并提高了阳性细菌蛋白质的鉴定。对于玉米,在存在大玻璃珠的情况下涡旋根块可鉴定出最多的微生物蛋白质。基于这些数据,我们建议在拟南芥和玉米中使用这两种方法进行宏蛋白质组学研究。此外,这八种测试方案的详细描述将有助于未来优化其他双子叶植物和单子叶植物宏蛋白质组学中的蛋白质提取。[公式:见正文] 版权所有 © 2022 作者。这是在 CC BY 4.0 国际许可下发布的开放获取文章。