A meta-analysis on the effects of pollutants on the earthworm microbiota
Raassina, T. M.; Sun, L.; Duplouy, A.; Phillips, H. R. P.
Show abstract
Like for many other organisms, earthworms host a microbiota consisting of bacteria, fungi and other micro-organisms originating from their surrounding environment. In earthworms, these microbes, either associated with the gut, skin, kidney-like nephridia, gizzard or cocoons, aid their hosts with the digestion of organic matter, immune responses against pathogens, and/or detoxification. Unfortunately, pollution is an increasing threat to soil health and soil biodiversity, and numerous articles have characterized both the microbial communities associated with earthworms, as well as the effects of soil pollution on these microbial communities. Here, we aim to synthesize data from across 159 articles to identify consistent global patterns and gaps in the study of earthworms' microbial communities. Additionally, we combined 16S rRNA metabarcoding data from almost 30 articles in a meta-analysis to evaluate the changes in the diversity of earthworm's and surrounding soil's bacterial microbiota after pollutant exposure. Through an evidence map, we clearly showed that most of the earthworm microbiota data came from the Eisenia fetida species reared in laboratory conditions, and only a handful of studies sequenced fungi (ITS) and protists (18S rRNA) in addition to bacteria and archaea (16S rRNA). The scarcity of studies from wild populations, environmental conditions, and the low microbial diversity targets and sources, cannot support a comprehensive view on earthworm's microbial ecology. Nonetheless, results of the meta-analysis indicate that the data did not support the occurrence of significant changes in the microbiota richness and diversity as result of pollution exposure. However, the microbial communities altered their composition, becoming more dissimilar. We suspect the microbiota response to pollution to be host-species specific, but the lack of data severely limited our ability to further elucidate the effect of pollution on earthworm microbiota.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- The Soil Microbiome of the Caatinga Drylands in Brazil 95%
- Station and train surface microbiomes of Mexico City’s metro (subway/underground) 95%
- Mapping of long-term impact of conventional and organic soil management on resident and active fractions of rhizosphere communities of barley (Hordeum vulgare) 94%
Similar papers in this journal
- Histological and Metagenomic Analysis of Microbial Communities in Archaeological Human Bones 94%
- From the Andes to the desert: First characterization of bacterial communities in the Rimac river, the main source of water for Lima, Peru 93%
- Defining the sediment microbiome of the Indian River Lagoon, FL, USA, an Estuary of National Significance 93%
Similar papers in this journal
- Spatio-temporal variation of bacterial community structure in two intertidal sediment types of Jiaozhou Bay 92%
- Antibiotic resistance genes, antibiotic residues, and microplastics in influent and effluent wastewater from treatment plants in Norway, Iceland, and Finland 92%
- Antimicrobial resistance landscape in a metropolitan city context using open drain wastewater-based metagenomic analysis 92%
Similar papers in this journal
- Total RNA-sequencing reveals multi-level microbial community changes and functional responses to wood ash application in agricultural and forest soil 95%
- Insights into the desert living skin microbiome: geography, soil depth, and crust type affect biocrust microbial communities and networks in Mojave Desert, USA 95%
- Rhizosphere-enriched microbes as a pool to design synthetic communities for reproducible beneficial outputs 94%
Similar papers in this journal
- Metagenomic Analysis Reveals Northwest Pacific Ocean as a Reservoir and Evolutionary Hub of Antibiotic Resistance Genes 94%
- Abrupt versus gradual application of pesticides: effects on soil bacterial and fungal communities 93%
- Multi-compartment impact of micropollutants and particularly antibiotics on bacterial communities using environmental DNA at river basin-level 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.