ArticleFrontiers in microbiology2014
Reconstructing each cell's genome within complex microbial communities-dream or reality?
Article in Frontiers in microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
44 citing papers in PubMed.
- scMicrobe PTA: Near Complete Genomes from Single Bacterial Cells.bioRxiv : the preprint server for biology · 2024Article
- scMicrobe PTA: near complete genomes from single bacterial cells.ISME communications · 2024Article
- First shotgun metagenomics study of Juan de Fuca deep-sea sediments reveals distinct microbial communities above, within, between, and below sulfate methane transition zones.Frontiers in microbiology · 2023Article
- Agarose gel microcapsules enable easy-to-prepare, picolitre-scale, single-cell genomics, yielding high-coverage genome sequences.Scientific reports · 2022Article
- Mystery find of microbial DNA elements called Borgs.Nature · 2022Article
- Article
- Dissecting the dominant hot spring microbial populations based on community-wide sampling at single-cell genomic resolution.The ISME journal · 2022Article
- Prochlorococcus have low global mutation rate and small effective population size.Nature ecology & evolution · 2022Article
- The rising dominance of microbiology: what to expect in the next 15 years?Microbial biotechnology · 2022Article
- One Cell at a Time: Advances in Single-Cell Methods and Instrumentation for Discovery in Aquatic Microbiology.Frontiers in microbiology · 2022Article
- Article
- Mining Synergistic Microbial Interactions: A Roadmap on How to Integrate Multi-Omics Data.Microorganisms · 2021Review
- Printing Microbial Dark Matter: Using Single Cell Dispensing and Genomics to Investigate the Patescibacteria/Candidate Phyla Radiation.Frontiers in microbiology · 2021Article
- Microbial single-cell omics: the crux of the matter.Applied microbiology and biotechnology · 2020Review
- Bacterial mock communities as standards for reproducible cytometric microbiome analysis.Nature protocols · 2020Article
- Fully Automated Lab-On-A-Disc Platform for Loop-Mediated Isothermal Amplification Using Micro-Carbon-Activated Cell Lysis.Sensors (Basel, Switzerland) · 2020Article
- Next-generation physiology approaches to study microbiome function at single cell level.Nature reviews. Microbiology · 2020Review
- Complementary Metagenomic Approaches Improve Reconstruction of Microbial Diversity in a Forest Soil.mSystems · 2020Article
- Function-driven single-cell genomics uncovers cellulose-degrading bacteria from the rare biosphere.The ISME journal · 2020Article
- A pipeline for targeted metagenomics of environmental bacteria.Microbiome · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As the vast majority of microorganisms have yet to be cultivated in a laboratory setting, access to their genetic makeup has largely been limited to cultivation-independent methods. These methods, namely metagenomics and more recently single-cell genomics, have become cornerstones for microbial ecology and environmental microbiology. One ultimate goal is the recovery of genome sequences from each cell within an environment to move toward a better understanding of community metabolic potential and to provide substrate for experimental work. As single-cell sequencing has the ability to decipher all sequence information contained in an individual cell, this method holds great promise in tackling such challenge. Methodological limitations and inherent biases however do exist, which will be discussed here based on environmental and benchmark data, to assess how far we are from reaching this goal.
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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.