ArticlePostdoc journal : a journal of postdoctoral research and postdoctoral affairs2016
Microbial Ecology: Where are we now?
Article in Postdoc journal : a journal of postdoctoral research and postdoctoral affairs, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- MIMt: a curated 16S rRNA reference database with less redundancy and higher accuracy at species-level identification.Environmental microbiome · 2024Article
- Review
- Phylogenies of the 16S rRNA gene and its hypervariable regions lack concordance with core genome phylogenies.Microbiome · 2022Article
- Considerations for mosquito microbiome research from the Mosquito Microbiome Consortium.Microbiome · 2021Review
- Article
- Changes in the Substrate Source Reveal Novel Interactions in the Sediment-Derived Methanogenic Microbial Community.International journal of molecular sciences · 2019Article
- Response to: Comment on "The Gut Microbiome Profile in Obesity: A Systematic Review".International journal of endocrinology · 2018Article
- Diseases and Molecular Diagnostics: A Step Closer to Precision Medicine.Indian journal of clinical biochemistry : IJCB · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Conventional microbiological methods have been readily taken over by newer molecular techniques due to the ease of use, reproducibility, sensitivity and speed of working with nucleic acids. These tools allow high throughput analysis of complex and diverse microbial communities, such as those in soil, freshwater, saltwater, or the microbiota living in collaboration with a host organism (plant, mouse, human, etc). For instance, these methods have been robustly used for characterizing the plant (rhizosphere), animal and human microbiome specifically the complex intestinal microbiota. The human body has been referred to as the Superorganism since microbial genes are more numerous than the number of human genes and are essential to the health of the host. In this review we provide an overview of the Next Generation tools currently available to study microbial ecology, along with their limitations and advantages.
Indexed as
Identifiers
What OpenQuestion holds
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.