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  Ultra-sensitive isotope probing to quantify activity and substrate assimilation in microbiomes

Kleiner, M., Kouris, A., Violette, M., D'Angelo, G., Liu, Y., Korenek, A., et al. (2023). Ultra-sensitive isotope probing to quantify activity and substrate assimilation in microbiomes. MICROBIOME, 11(1): 24. doi:10.1186/s40168-022-01454-1.

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Kleiner, Manuel1, Author
Kouris, Angela1, Author
Violette, Marlene1, Author
D'Angelo, Grace2, Author           
Liu, Yihua1, Author
Korenek, Abigail1, Author
Tolic, Nikola1, Author
Sachsenberg, Timo1, Author
McCalder, Janine1, Author
Lipton, Mary S. S.1, Author
Strous, Marc1, Author
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1external, ou_persistent22              
2Department of Symbiosis, Max Planck Institute for Marine Microbiology, Max Planck Society, ou_2481699              

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 Abstract: Background Stable isotope probing (SIP) approaches are a critical tool in microbiome research to determine associations between species and substrates, as well as the activity of species. The application of these approaches ranges from studying microbial communities important for global biogeochemical cycling to host-microbiota interactions in the intestinal tract. Current SIP approaches, such as DNA-SIP or nanoSIMS allow to analyze incorporation of stable isotopes with high coverage of taxa in a community and at the single cell level, respectively, however they are limited in terms of sensitivity, resolution or throughput.Results Here, we present an ultra-sensitive, high-throughput protein-based stable isotope probing approach (Protein-SIP), which cuts cost for labeled substrates by 50-99% as compared to other SIP and Protein-SIP approaches and thus enables isotope labeling experiments on much larger scales and with higher replication. The approach allows for the determination of isotope incorporation into microbiome members with species level resolution using standard metaproteomics liquid chromatography-tandem mass spectrometry (LC-MS/MS) measurements. At the core of the approach are new algorithms to analyze the data, which have been implemented in an open-source software (https://sourceforge.net/projects/calis-p/). We demonstrate sensitivity, precision and accuracy using bacterial cultures and mock communities with different labeling schemes. Furthermore, we benchmark our approach against two existing Protein-SIP approaches and show that in the low labeling range used our approach is the most sensitive and accurate. Finally, we measure translational activity using 18O heavy water labeling in a 63-species community derived from human fecal samples grown on media simulating two different diets. Activity could be quantified on average for 27 species per sample, with 9 species showing significantly higher activity on a high protein diet, as compared to a high fiber diet. Surprisingly, among the species with increased activity on high protein were several Bacteroides species known as fiber consumers. Apparently, protein supply is a critical consideration when assessing growth of intestinal microbes on fiber, including fiber-based prebiotics.Conclusions We demonstrate that our Protein-SIP approach allows for the ultra-sensitive (0.01 to 10% label) detection of stable isotopes of elements found in proteins, using standard metaproteomics data.

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Language(s): eng - English
 Dates: 2023-02-09
 Publication Status: Published online
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Title: MICROBIOME
Source Genre: Journal
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Pages: - Volume / Issue: 11 (1) Sequence Number: 24 Start / End Page: - Identifier: ISSN: 2049-2618