Table 1.
Anthropocene signature | Analyzed factor | Ecosystem/holobiont | Resulting microbiome signatures | Reference |
---|---|---|---|---|
Climate change | Global warming | Cropping systems | Warmer temperatures cause an increase of the relative abundance of soil-borne fungal plant pathogens. | [23] |
Cherry | Warming increased the abundance of fungal plant pathogens with higher host infection rates as a consequence. | [24] | ||
Bog ecosystem | Microbiome shifts were observed in controlled warming experiments. A decreased diversity of bacteria and diazotrophs as well as a reduced nitrogen fixation rate was observed. | [25] | ||
Oak trees |
Increased temperature resulted in lower microbial diversity under controlled conditions. It was also followed by an increase in pathogen occurrence. |
[26] | ||
Grasslands | A decreased ‘drift’ was observed over time, which enhances homogeneous selection that is primarily imposed on Bacillales. | [27] | ||
Soil leaf litter layer | A short-term adaptation and altered diversity were observed. Non-random, parallel mutations in genes related to nutrient acquisition, stress response, and exopolysaccharide production were characteristic for adaption. | [28] | ||
Drought | Grasslands | Changes in soil functioning and plant community composition were observed and shown to be shaped via the modification of plant–soil feedbacks under drought conditions. | [29] | |
Pine and oak trees | Microbiota shifts and a decrease in diversity were reported. | [30] | ||
Erosion | Soil | Adaptions were characterized by low microbial network complexity. A decrease in functionality but increase in the relative abundances of some bacterial families involved in N cycling, such as Acetobacteraceae and Beijerinckiaceae was observed. | [31] | |
Nitrogen and phosphorus flow disturbances | Nitrogen fertilization | Wheat roots and rhizosphere | Overuse of nitrogen fertilizers causes microbiome shifts towards Proteobacteria. | [32] |
Wheat rhizosphere | Bacterial community richness and diversity decreased after plants were supplemented with inorganic nitrogen. | [33] | ||
Soil | Protist diversity is indirectly reduced by bacterial and fungal community shifts caused by nitrogen inputs in agricultural soils | [34] | ||
Different forest ecosystems | Nitrogen fertilization substantially reduced the diversity and abundance of nitrogen-fixing bacterial communities under elevated atmospheric CO2 conditions. | [35] | ||
Phosphorous fertilization | Soil (ryegrass) | One-time inorganic phosphate amendments caused shifts in soil bacterial and fungal communities and reduced mycorrhization rate in ryegrass. | [36] | |
Phosphorous and nitrogen fertilization | Barley | Long-term nitrogen fertilization was shown to affect arbuscular mycorrhizal fungal communities while long-term phosphorous fertilization limited phosphorous provision to plants. | [37] | |
Chemical pollution | Microplastics | Soil | Contamination of different soils with microplastics resulted in a specific enrichment of antibiotic resistance genes. The effect was further enhanced by elevated temperature. | [38] |
Antibiotics, heavy metals, and microplastics | Soil | Enhanced antibiotic resistance occurrence was observed in manured soil. | [39] | |
Microplastics | Soil | Altered soil and microbiome structure were liked to microplastics contamination. | [40] | |
Neonicotinoid seed treatments | Phyllosphere and soil in soybean-corn agroecosystem | Microbiota shifts were reflected by a decline in the relative abundance of some potentially beneficial soil bacteria (bacteria involved in the N cycle) in response to pesticide applications. | [41] | |
Engineered nanomaterials: SiO2, TiO2, and Fe3O4 | Maize rhizosphere |
A reduction of N-fixing bacteria and iron-redox bacteria was reported along microbiome shifts. Occurrence of plant growth promoting bacteria was enhanced. |
[42] | |
Broad-spectrum fungicide: N-(3,5-dichlorophenyl) succinimide | Tobacco phyllosphere | Pesticide applications caused a microbiome shift towards a higher prevalence of Gammaproteobacteria in the phyllosphere of treated plants. | [43] | |
Antibiotic treatment | Oilseed rape | Mutation frequencies can explain differentiation between plant and clinical Stenotrophomonas maltophilia strains. Clinical environments might select bacterial populations with high mutation frequencies. | [44] | |
Biodiversity loss | Breeding of high-yield crops | Various crop plants | An overall tendency of microbiome shifts from k- to r-strategists was demonstrated. | [45] |
Breeding of high-yield crops | Maize | It was shown that more recently developed germplasm recruited fewer microbial taxa with the genetic capability for sustainable N provisioning and larger populations of microorganisms that contribute to N losses. | [46] | |
Stratospheric ozone depletion | UV-B radiation | Peanut phyllopshere | Characterization of 200 phyllosphere isolates indicated that the predominant UV-tolerant members were Bacillus coagulans, Clavibacter michiganensis, and Curtobacterium flaccumfaciens. | [47] |
Maize phyllosphere | UV-B radiation can affect bacterial diversity in the phyllosphere via the host plant’s gene products encoded on identified chromosomal quantitative trait loci (QTL). | [48] | ||
Maize phyllosphere | A strong tendency toward increased 16S rDNA sequence diversity was observed in UV-exposed samples. | [49] | ||
Combined effects | Agricultural intensification | Various crop plants | A reduced network complexity and a reduced abundance of keystone taxa were described. | [8] |
Diverse | Global microbiome | An enrichment of Firmicutes and hypermutation genes in global microbiomes was observed. | [50] | |
Diverse | Soil | Local increase of bacterial diversity and a global-scale homogenization of the soil microbiome was described. Additionally, soil-borne fungal pathogens were shown to accumulate which is accompanied by a reduction of beneficial microbes. | [51] | |
Drought and nitrogen availability | Rhizosphere of Alhagi sparsifolia | Rhizospheric fungi are more sensitive to N and water addition than bacteria. Low N input and drought increased microbial co-occurrence network complexity. | [52] |