ReviewComputational and structural biotechnology journal2020
Experimental and computational approaches to unravel microbial community assembly.
Review in Computational and structural biotechnology journal, 2020. 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.
- Carbon substrate type shapes spatial self-organization in a multi-species biofilm community.The ISME journal · 2026Article
- Higher-order interactions and emergent properties of microbial communities: The power of synthetic ecology.Heliyon · 2024Review
- Formation of a constructed microbial community in a nutrient-rich environment indicates bacterial interspecific competition.mSystems · 2024Article
- Characterization of Microbial Diversity of Two Tomato Cultivars through Targeted Next-Generation Sequencing 16S rRNA and ITS Techniques.Microorganisms · 2023Article
- A structured evaluation of genome-scale constraint-based modeling tools for microbial consortia.PLoS computational biology · 2023Article
- Assumptions on decision making and environment can yield multiple steady states in microbial community models.BMC bioinformatics · 2023Article
- Competition for nutrients increases invasion resistance during assembly of microbial communities.Molecular ecology · 2022Article
- Metadata harmonization-Standards are the key for a better usage of omics data for integrative microbiome analysis.Environmental microbiome · 2022Article
- Atomic-scale insights into allosteric inhibition and evolutional rescue mechanism ofComputational and structural biotechnology journal · 2021Article
- Contribution of sample processing to gut microbiome analysis in the model Lepidoptera, silkwormComputational and structural biotechnology journal · 2021Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microbial communities have a preponderant role in the life support processes of our common home planet Earth. These extremely diverse communities drive global biogeochemical cycles, and develop intimate relationships with most multicellular organisms, with a significant impact on their fitness. Our understanding of their composition and function has enjoyed a significant thrust during the last decade thanks to the rise of high-throughput sequencing technologies. Intriguingly, the diversity patterns observed in nature point to the possible existence of fundamental community assembly rules. Unfortunately, these rules are still poorly understood, despite the fact that their knowledge could spur a scientific, technological, and economic revolution, impacting, for instance, agricultural, environmental, and health-related practices. In this minireview, I recapitulate the most important wet lab techniques and computational approaches currently employed in the study of microbial community assembly, and briefly discuss various experimental designs. Most of these approaches and considerations are also relevant to the study of microbial microevolution, as it has been shown that it can occur in ecological relevant timescales. Moreover, I provide a succinct review of various recent studies, chosen based on the diversity of ecological concepts addressed, experimental designs, and choice of wet lab and computational techniques. This piece aims to serve as a primer to those new to the field, as well as a source of new ideas to the more experienced researchers.
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Registered trials
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.