Biomarker metaproteomics for relative taxa abundances across soil organisms

0565115 - MBÚ 2023 RIV GB eng J - Článek v odborném periodiku
Starke, Robert - Fiore-Donno, A. M. - White, R. A. - Fernandes, Maysa Lima Parente - Martinović, Tijana - Bastida, F. - Delgado-Baquerizo, M. - Jehmlich, N.
Biomarker metaproteomics for relative taxa abundances across soil organisms.
Soil Biology and Biochemistry. Roč. 175, DEC22 (2022), č. článku 108861. ISSN 0038-0717
Institucionální podpora: RVO:61388971
Klíčová slova: Metaproteomics * Biomarker * Relative taxa abundances
Obor OECD: Microbiology
Impakt faktor: 9.7, rok: 2022
Způsob publikování: Open access
https://www.sciencedirect.com/science/article/pii/S0038071722003182?via%3Dihub

Soil organisms are often classified using methods targeting individual groups of taxa (e.g., bacteria, fungi and invertebrates), which hampers our ability to directly compare the relative abundance of different groups across environmental gradients. We posit that the use of protein biomarkers could help to provide a more real repre-sentation of the cross-kingdom soil microbial populations. Here, we tested if the abundant proteins ATP synthase F(0) complex (ATPS), elongation factors (EF), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), GroEL, pyruvate dehydrogenase (PyrDH), RNA polymerase beta chain (RNAP), and translation initiation factor 2 (TIF) could be used to describe the taxonomic composition of microbial communities. As positive control, we used a mock community with different relative abundances of algae, archaea, bacteria, and viruses. We tested this approach on a previously published soil metaproteomes from which we randomly selected samples from forests, grasslands, and shrublands (each n = 10). Unfortunately, the biomarker approach is not feasible for viruses as these organisms do not share single genes. All biomarkers showed decent accuracy to determine the relative abundances of archaea, bacteria, and eukaryota in the mock community. However, false positive hits dominated on phylum level probably due to sequence homology. Archaeal proteins were only detected in the soil samples when EF was used as biomarker at an abundance of 0.7%. Bacteria dominated the EF-metaproteome and were most abundant in shrublands (64.4%) while eukaryotes were more abundant in forests (25.6%). In compliance with previously published results, the correlation analysis revealed the impact of mean annual temperature and pH on both bacteria and eukaryota. Our approach not only shows the potential to use biomarker metaproteomics to unveil the relative taxa abundances across soil organisms but also the need to create mock communities comprising members of all soil taxa.
Trvalý link: https://hdl.handle.net/11104/0336692