ArticlePeerJ2018
COREMIC: a web-tool to search for a niche associated CORE MICrobiome.
Article in PeerJ, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
10 citing papers in PubMed.
- The core microbiome of the AMF hyphosphere: mineralization mechanisms of key soil mineral elements.Mycorrhiza · 2026Review
- Developing Effective Bioinoculant and Engineering Plant Microbiome for Climate Resilient Agriculture: Lessons Learned and Future Roadmap.Current microbiology · 2026Review
- Distinctive structure of endophytic microbial communities in two species of wild and cultivated rice.Microbiology spectrum · 2025Article
- Exploring and exploiting the rice phytobiome to tackle climate change challenges.Plant communications · 2024Review
- Nutrient and moisture limitations reveal keystone metabolites linking rhizosphere metabolomes and microbiomes.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Parental care contributes to vertical transmission of microbes in a skin-feeding and direct-developing caecilian.Animal microbiome · 2023Article
- A Reproducible and Tunable Synthetic Soil Microbial Community Provides New Insights into Microbial Ecology.mSystems · 2022Article
- The Perception of Rhizosphere Bacterial Communication Signals Leads to Transcriptome Reprogramming inFrontiers in microbiology · 2021Article
- Tailoring plant-associated microbial inoculants in agriculture: a roadmap for successful application.Journal of experimental botany · 2020Review
- Challenges and Approaches in Microbiome Research: From Fundamental to Applied.Frontiers in plant science · 2018Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microbial diversity on earth is extraordinary, and soils alone harbor thousands of species per gram of soil. Understanding how this diversity is sorted and selected into habitat niches is a major focus of ecology and biotechnology, but remains only vaguely understood. A systems-biology approach was used to mine information from databases to show how it can be used to answer questions related to the core microbiome of habitat-microbe relationships. By making use of the burgeoning growth of information from databases, our tool "COREMIC" meets a great need in the search for understanding niche partitioning and habitat-function relationships. The work is unique, furthermore, because it provides a user-friendly statistically robust web-tool (http://coremic2.appspot.com or http://core-mic.com), developed using Google App Engine, to help in the process of database mining to identify the "core microbiome" associated with a given habitat. A case study is presented using data from 31 switchgrass rhizosphere community habitats across a diverse set of soil and sampling environments. The methodology utilizes an outgroup of 28 non-switchgrass (other grasses and forbs) to identify a core switchgrass microbiome. Even across a diverse set of soils (five environments), and conservative statistical criteria (presence in more than 90% samples and FDR
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.