Evidence map›Paper›PMID 38511467›Full record

ArticleCurrent protocols2024

Microbial Community Profiling Protocol with Full-length 16S rRNA Sequences and Emu.

Kristen D Curry, Sirena Soriano, Michael G Nute, Sonia Villapol, Alexander Dilthey, Todd J Treangen

Open access · greenAbstract read
In one paragraph

Article in Current protocols, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
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

7 citing papers in PubMed, 9 citations in OpenAlex.

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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

6 authors at 3 institutions in 2 countries.

Kristen D CurryDepartment of Computer Science, Rice University, Houston, Texas, USA.ORCID https://orcid.org/0000-0001-8375-397X
Sirena SorianoCenter for Neuroregeneration, Department of Neurosurgery, Houston Methodist Research Institute, Houston, Texas, USA.
Michael G NuteDepartment of Computer Science, Rice University, Houston, Texas, USA.
Sonia VillapolCenter for Neuroregeneration, Department of Neurosurgery, Houston Methodist Research Institute, Houston, Texas, USA.
Alexander DiltheyInstitute of Medical Microbiology and Hospital Hygiene, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
Todd J TreangenDepartment of Computer Science, Rice University, Houston, Texas, USA.
Rice University · USHouston Methodist · USHeinrich Heine University Düsseldorf · DE

Funding

Project 3: Functional Microbiome and Host Signatures in Transition from Commensal to pathogenP01AI152999 · NIAID · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI ARIAS, CESAR AUGUSTO, SAVIDGE, TOR C. · 2020 to 2025
$12.0M
Microbiota-targeted approaches to resolve dysbiosis-induced AD neuropathology following brain injury.R56AG080920 · NIA · METHODIST HOSPITAL RESEARCH INSTITUTE · PI VILLAPOL, SONIA · 2023 to 2024
$1.3M
The role of the gut microbiome in the neuropathology of traumatic brain injuryR21NS106640 · NINDS · METHODIST HOSPITAL RESEARCH INSTITUTE · PI VILLAPOL, SONIA · 2018 to 2019
$431k
NIAID NIH HHS P01 AI152999NIA NIH HHS R56 AG080920NINDS NIH HHS R21 NS106640
6 · The paper itself

Abstract

16S rRNA targeted amplicon sequencing is an established standard for elucidating microbial community composition. While high-throughput short-read sequencing can elicit only a portion of the 16S rRNA gene due to their limited read length, third generation sequencing can read the 16S rRNA gene in its entirety and thus provide more precise taxonomic classification. Here, we present a protocol for generating full-length 16S rRNA sequences with Oxford Nanopore Technologies (ONT) and a microbial community profile with Emu. We select Emu for analyzing ONT sequences as it leverages information from the entire community to overcome errors due to incomplete reference databases and hardware limitations to ultimately obtain species-level resolution. This pipeline provides a low-cost solution for characterizing microbiome composition by exploiting real-time, long-read ONT sequencing and tailored software for accurate characterization of microbial communities. © 2024 Wiley Periodicals LLC. Basic Protocol: Microbial community profiling with Emu Support Protocol 1: Full-length 16S rRNA microbial sequences with Oxford Nanopore Technologies sequencing platform Support Protocol 2: Building a custom reference database for Emu.

Indexed as

DromaiidaeMicrobiotaAnimalsBacteriaRNA, Ribosomal, 16SSequence Analysis, DNARNA, Ribosomal, 16S16S rRNAbioinformaticscommunity profilelong‐read sequencingmicrobiomeOxford Nanopore Technologiesspecies

Identifiers

PMID38511467
PMCPMC10963033
OpenAlexW4393045657

What OpenQuestion holds

Textmetadata
LicenceTDM
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.