Evidence map›Paper›PMID 26615218›Full record

ArticleGenome biology and evolution2015

Assessing the Unseen Bacterial Diversity in Microbial Communities.

Alejandro Caro-Quintero, Howard Ochman

Abstract read
In one paragraph

Article in Genome biology and evolution, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed.

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  19. A great-ape view of the gut microbiome.Nature reviews. Genetics · 2019
    Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Alejandro Caro-QuinteroDepartment of Integrative Biology, University of Texas, Austin Present address: Corpoicá C.I Tibaitata, Santáfe de Bogata, Columbia.
Howard OchmanDepartment of Integrative Biology, University of Texas, Austin howard.ochman@austin.utexas.edu.

Funding

Dynamics of Microbes Infecting the Guts of Great ApesR01GM101209 · NIGMS · YALE UNIVERSITY · PI OCHMAN, HOWARD · 2012 to 2014
$714k
NIGMS NIH HHS R01 GM101209NIGMS NIH HHS R01GM101209
6 · The paper itself

Abstract

For both historical and technical reasons, 16S ribosomal RNA has been the most common molecular marker used to analyze the contents of microbial communities. However, its slow rate of evolution hinders the resolution of closely related bacteria--individual 16S-phylotypes, particularly when clustered at 97% sequence identity, conceal vast amounts of species- and strain-level variation. Protein-coding genes, which evolve more quickly, are useful for differentiating among more recently diverged lineages, but their application is complicated by difficulties in designing low-redundancy primers that amplify homologous regions from distantly related taxa. Given the now-common practice of multiplexing hundreds of samples, adopting new genes usually entails the synthesis of large sets of barcoded primers. To circumvent problems associated with use of protein-coding genes to survey microbial communities, we develop an approach--termed phyloTAGs--that offers an automatic solution for primer design and can be easily adapted to target different taxonomic groups and/or different protein-coding regions. We applied this method to analyze diversity within the gorilla gut microbiome and recovered hundreds of strains that went undetected after deep-sequencing of 16S rDNA amplicons. PhyloTAGs provides a powerful way to recover the fine-level diversity within microbial communities and to study stability and dynamics of bacterial populations.

Indexed as

AnimalsDNA, BacterialDNA PrimersGorilla gorillaHigh-Throughput Nucleotide SequencingIntestinesMicrobiotaOpen Reading FramesRNA, Ribosomal, 16SSensitivity and SpecificitySequence Analysis, DNADNA, BacterialDNA PrimersRNA, Ribosomal, 16Sbacterial speciesbacterial strain diversitycommunity profilingmicrobiomephylotypespopulation structure

Identifiers

PMID26615218
PMCPMC4700968

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.