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宏蛋白质组学方法用于确定微生物群落中物种的碳源和同化途径。

Metaproteomics method to determine carbon sources and assimilation pathways of species in microbial communities.

机构信息

Department of Geoscience, University of Calgary, Calgary, AB, Canada T2N 1N4;

Department of Plant and Microbial Biology, North Carolina State University, Raleigh, NC 27695.

出版信息

Proc Natl Acad Sci U S A. 2018 Jun 12;115(24):E5576-E5584. doi: 10.1073/pnas.1722325115. Epub 2018 May 29.

Abstract

Measurements of stable carbon isotope ratios (δC) are widely used in biology to address questions regarding food sources and metabolic pathways used by organisms. The analysis of these so-called stable isotope fingerprints (SIFs) for microbes involved in biogeochemical cycling and microbiota of plants and animals has led to major discoveries in environmental microbiology. Currently, obtaining SIFs for microbial communities is challenging as the available methods either only provide low taxonomic resolution, such as the use of lipid biomarkers, or are limited in throughput, such as nanoscale secondary ion MS imaging of single cells. Here we present "direct protein-SIF" and the Calis-p software package (https://sourceforge.net/projects/calis-p/), which enable high-throughput measurements of accurate δC values for individual species within a microbial community. We benchmark the method using 20 pure culture microorganisms and show that the method reproducibly provides SIF values consistent with gold-standard bulk measurements performed with an isotope ratio mass spectrometer. Using mock community samples, we demonstrate that SIF values can also be obtained for individual species within a microbial community. Finally, a case study of an obligate bacteria-animal symbiosis shows that direct protein-SIF confirms previous physiological hypotheses and can provide unexpected insights into the symbionts' metabolism. This confirms the usefulness of this approach to accurately determine δC values for different species in microbial community samples.

摘要

稳定碳同位素比 (δC) 的测量在生物学中被广泛用于解决有关生物体食物来源和代谢途径的问题。对参与生物地球化学循环和动植物微生物群的这些所谓稳定同位素指纹(SIF)的分析,在环境微生物学领域带来了重大发现。目前,由于现有的方法要么只能提供低分类分辨率,例如使用脂质生物标志物,要么在通量方面受到限制,例如单细胞纳米级二次离子 MS 成像,因此获取微生物群落的 SIF 具有挑战性。在这里,我们介绍了“直接蛋白质-SIF”和 Calis-p 软件包(https://sourceforge.net/projects/calis-p/),该方法可以实现微生物群落中单个物种的高精度 δC 值的高通量测量。我们使用 20 种纯培养微生物对该方法进行了基准测试,结果表明该方法能够重现地提供与使用同位素比质谱仪进行的黄金标准批量测量一致的 SIF 值。使用模拟群落样本,我们证明也可以为微生物群落中的单个物种获得 SIF 值。最后,一项专性细菌-动物共生的案例研究表明,直接蛋白质-SIF 证实了先前的生理假设,并为共生体的代谢提供了意想不到的见解。这证实了该方法在准确确定微生物群落样本中不同物种的 δC 值方面的有用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb2b/6004456/020576f59f7f/pnas.1722325115fig01.jpg

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