Amazonian soil metagenomes indicate different physiological strategies of microbial communities in response to land use change

Abstract

Despite the global importance in ecological processes, the Amazon rainforest has been subjected to high rates of deforestation, mostly for pasturelands, over the last few decades. In this study, we used a combination of deep shotgun metagenomics and a machine learning approach to compare physiological strategies of microbial communities between contrasting forest and pasture soils. We showed that microbial communities (bacteria, archaea and viruses), and the composition of protein-coding genes are distinct in each ecosystem. The diversities of these metagenomic datasets are strongly correlated, indicating that the protein-coding genes found in any given sample of these soil types are predictable from their taxonomic lineages. Shifts in metagenome profiles reflected potential physiological differences caused by forest-to-pasture conversion with alterations in gene abundances related to carbohydrate and energy metabolisms. These variations in these gene contents are associated with several soil factors including C/N, temperature and H++Al3+ (exchangeable acidity). These data underscore that microbial community taxa and protein-coding genes co-vary. Differences in gene abundances for carbohydrate utilization, energy, amino acid, and xenobiotic metabolisms indicate alterations of physiological strategy with forest-to-pasture conversion, with potential consequences to C and N cycles. Our analysis also indicated that soil virome was altered and shifts in the viral community provide insights into increased health risks to human and animal populations.

One or many? Multi-species livestock grazing influences soil microbiome community structure and antibiotic resistance potential

“…In this study, Proteobacteria was the most abundant bacterial phylum, followed by Actinobacteria, Bacteroidetes, and Firmicutes. Other surveys of soil metagenomes have found similar dominance of these bacterial phyla (Duan et al, 2019;Khan et al, 2020). However, contrary to previous soil surveys, we found that members of phylum Euryarchaeota, rather than Thaumarchaeota, dominated the archaeal community (Bates et al, 2011;Fierer et al, 2012).…”

“…However, contrary to previous soil surveys, we found that members of phylum Euryarchaeota, rather than Thaumarchaeota, dominated the archaeal community (Bates et al, 2011;Fierer et al, 2012). Also in contrast to other soil virome studies (e.g., Khan et al, 2020;Santos-Medellin et al, 2021), we did not find high relative abundances of the 'tailed' viral families Myoviridae (0.2% in this study) or Podoviridae (0.004%), although Siphoviridae (another tailed viral family) comprised a dominant fraction (39.7%) of all identified viral sequences.…”

“…Frontiers in Sustainable Food Systems frontiersin.org sheep) or by all three species in series over a 5-month period. Numbers of bacterial reads and taxa identified far outnumbered those of other kingdoms, even combined, mirroring findings from prior studies (Fierer et al, 2012;Mendes et al, 2015;Khan et al, 2020). In this study, Proteobacteria was the most abundant bacterial phylum, followed by Actinobacteria, Bacteroidetes, and Firmicutes.…”