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Table 1 Examples for the anthropogenic impact on microbiome signatures in plant holobionts and in terrestrial ecosystems in the Anthropocene from all over the world

From: The plant microbiota signature of the Anthropocene as a challenge for microbiome research

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]