Evidence map›Paper›PMID 40666886›Full record

ArticlebioRxiv : the preprint server for biology2025

Comprehensive Cross-Domain Taxonomic Classification of Microbiotas using Partitioned Amplification Multiplexed Amplicon Sequencing (PAMA-seq).

Xiangpeng Li, Kai R Trepka, Fangchao Song, Than S Kyaw, Peter J Turnbaugh, Adam R Abate

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Xiangpeng LiDepartment of Chemistry and Biochemistry, Florida State University, Tallahassee, FL, 32306 USA.ORCID 0000-0002-4230-5676
Kai R TrepkaDepartment of Microbiology & Immunology, University of California, San Francisco, CA, 94158 USA.ORCID 0000-0002-8672-6317
Fangchao SongBiosciences and Biotechnology Division, Lawrence Livermore National Laboratory, Livermore, CA, 94550 USA.ORCID 0000-0002-9427-9879
Than S KyawDepartment of Microbiology & Immunology, University of California, San Francisco, CA, 94158 USA.ORCID 0000-0002-7933-8615
Peter J TurnbaughDepartment of Microbiology & Immunology, University of California, San Francisco, CA, 94158 USA.ORCID 0000-0002-0888-2875
Adam R AbateDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, 94158 USA.

Funding

Predicting and preventing drug metabolism by the human gut microbiomeR01HL122593 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Peter James Turnbaugh · 2016 to 2026
$5.7M
Gigapixel digital PCR in Giant Unilamellar VesiclesR01EB019453 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ABATE, ADAM R., CHIU, CHARLES YEN · 2014 to 2022
$3.9M
Multi-omic dissection of the transcriptional, epigenetic, and proteomic signatures of cells infected with latent HIVR01AI149699 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI ABATE, ADAM R., QUINTANA, FRANCISCO J. · 2020 to 2024
$3.8M
Metabolism of cancer chemotherapeutics by the human gut microbiomeR01CA255116 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Peter James Turnbaugh · 2023 to 2026
$3.1M
Accurate and unbiased single cell sequencing with digital droplet MDAR01HG008978 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ABATE, ADAM R. · 2016 to 2018
$1.9M
SINGLE-CELL TRANSCRIPTOMIC ANALYSIS OF HIV-INFECTED CD4 T CELLS IN BLOOD AND LYMPHOID TISSUE USING PCR-ACTIVATED CELL SORTINGU01AI129206 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ABATE, ADAM R., BORITZ, ELI A · 2017 to 2020
$1.6M
NCI NIH HHS R01 CA255116NHGRI NIH HHS R01 HG008978NHLBI NIH HHS R01 HL122593NIAID NIH HHS R01 AI149699NIAID NIH HHS U01 AI129206NIBIB NIH HHS R01 EB019453
6 · The paper itself

Abstract

Microbial communities encompass diverse bacteria, archaea, and eukaryotes that play vital roles in ecosystems and host health. Comprehensive analysis of these communities requires accurate, quantitative, and cross-domain profiling, yet current sequencing methods-metagenome shotgun sequencing (MGS) and ribosomal RNA (rRNA) amplicon sequencing-struggle to achieve these goals in a single assay. MGS provides broad functional insights but suffers from high cost, computational burden, and reliance on incomplete reference databases. rRNA amplicon sequencing, while more taxonomically targeted, typically profiles either prokaryotes or eukaryotes separately, depending on the chosen primer sets, and thus lacks simultaneous cross-domain resolution. To address these limitations, we developed PAMA-seq, a droplet-digital multiplex PCR technique. PAMA-seq partitions DNA sample from microbial communities into nanoliter droplets, each containing a single template molecule, and independently amplifies both the 16

Identifiers

PMID40666886
PMCPMC12262573

What OpenQuestion holds

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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.