ArticleSpringerPlus2013
Sociomicrobiome of wood decay in a tropical rain forest: unraveling complexity.
Article in SpringerPlus, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- A bibliometric analysis of microbial forensics from 1984 to 2022: progress and research trends.Frontiers in microbiology · 2023Review
- Fungal community succession under influence of biochar in cow manure composting.Environmental science and pollution research international · 2020Article
- Bacterial and fungal communities and contribution of physicochemical factors during cattle farm waste composting.MicrobiologyOpen · 2017Article
- The Metagenome of Utricularia gibba's Traps: Into the Microbial Input to a Carnivorous Plant.PloS one · 2016Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Given that microbial interactions in nature are very complex, we propose that quorum-sensing, as well as quorum-quenching, phenazine and secondary metabolite production, resistance and toxin-antitoxin systems within a microbial community should all comprise the battery of processes involving the study of what we would define as the "sociomicrobiome". In the present study the genes/molecules, subsystems and taxonomic breakup of the mentioned processes were identified in decaying tropical wood from the El Yunque rainforest in Puerto Rico, and soil using a shotgun metagenomic approach. The rapid decomposition of wood and litter in tropical regions suggests that processes in these settings are governed by unexplored microbes with the potential of being further studied and exploited for various purposes. Both ecosystems were characterized by the presence of specific genes/molecules, subsystems and microbes associated with the mentioned processes, although the average abundances for specific processes differed. Of the sociomicrobiomes studied, that from El Yunque was found to be the most complex. The approach considered in the present study could also be applied to study the sociomicrobiome of other ecosystems.
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Registered trials
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