Evidence map›Paper›PMID 38687072›Full record

ArticleMicrobiology spectrum2024

EnsembleSeq: a workflow towards real-time, rapid, and simultaneous multi-kingdom-amplicon sequencing for holistic and resource-effective microbiome research at scale.

Sunil Nagpal, Sharmila S Mande, Harish Hooda, Usha Dutta, Bhupesh Taneja

Abstract read
In one paragraph

Article in Microbiology spectrum, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

5 authors.

Sunil NagpalCSIR-Institute of Genomics and Integrative Biology, New Delhi, India.ORCID 0000-0001-9221-1443
Sharmila S MandeTCS Research, Tata Consultancy Services Ltd, Pune, India.
Harish HoodaDepartment of Gastroenterology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Usha DuttaDepartment of Gastroenterology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Bhupesh TanejaCSIR-Institute of Genomics and Integrative Biology, New Delhi, India.ORCID 0000-0001-8342-7541

Funding

CSIR-Institute of Genomics and Integrative Biology OLP2306
6 · The paper itself

Abstract

Bacterial communities are often concomitantly present with numerous microorganisms in the human body and other natural environments. Amplicon-based microbiome studies have generally paid skewed attention, that too at a rather shallow genus level resolution, to the highly abundant bacteriome, with interest now forking toward the other microorganisms, particularly fungi. Given the generally sparse abundance of other microbes in the total microbiome, simultaneous sequencing of amplicons targeting multiple microbial kingdoms could be possible even with full multiplexing. Guiding studies are currently needed for performing and monitoring multi-kingdom-amplicon sequencing and data capture at scale. Aiming to address these gaps, amplification of full-length bacterial 16S rRNA gene and entire fungal internal-transcribed spacer (ITS) region was performed for human saliva samples ( IMPORTANCE: Human microbiome is a sum total of a variety of microbial genomes (including bacteria, fungi, protists, viruses, etc.) present in and on the human body. Yet, a majority of amplicon-based microbiome studies have largely remained skewed toward bacteriome as an assumed proxy of the total microbiome, primarily at a shallow genus level. Cost, time, effort, data quality/management, and importantly lack of guiding studies often limit progress in the direction of moving beyond bacteriome. Here, EnsembleSeq presents a proof-of-concept toward concomitantly capturing multiple-kingdoms of microorganisms (bacteriome and mycobiome) in a fully multiplexed (96-sample) single run of long-read amplicon sequencing. In addition, the workflow captures dynamic tracking of species-level saturation in a time- and resource-effective manner.

Indexed as

BacteriaFungiMicrobiotaRNA, Ribosomal, 16SSalivaDNA, BacterialDNA, FungalHigh-Throughput Nucleotide SequencingHumansSequence Analysis, DNAWorkflowDNA, BacterialDNA, FungalRNA, Ribosomal, 16Samplicon sequencingbeyond bacteriomehuman microbiomelong-read sequencingmulti-kingdom sequencingmycobiomenanopore sequencingoral microbiome

Identifiers

PMID38687072
PMCPMC11237516

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Registered trials

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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.