Evidence map›Paper›PMID 31316095›Full record

ArticleScientific reports2019

Paired RNA Radiocarbon and Sequencing Analyses Indicate the Importance of Autotrophy in a Shallow Alluvial Aquifer.

Brian J Mailloux, Carol Kim, Tess Kichuk, Khue Nguyen, Chandler Precht, Shi Wang, Talia N M Jewell, Ulas Karaoz, Eoin L Brodie, Kenneth H Williams and 2 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 41% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

12 authors at 3 institutions in 1 country.

Brian J MaillouxEnvironmental Science Department, Barnard College, NY, NY, 10027, New York, USA. bmaillou@barnard.edu.
Carol KimEnvironmental Science Department, Barnard College, NY, NY, 10027, New York, USA.
Tess KichukEnvironmental Science Department, Barnard College, NY, NY, 10027, New York, USA.
Khue NguyenEnvironmental Science Department, Barnard College, NY, NY, 10027, New York, USA.
Chandler PrechtEnvironmental Science Department, Barnard College, NY, NY, 10027, New York, USA.
Shi WangEarth and Environmental Sciences, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.ORCID http://orcid.org/0000-0002-2408-2544
Talia N M JewellEarth and Environmental Sciences, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
Ulas KaraozEarth and Environmental Sciences, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
Eoin L BrodieEarth and Environmental Sciences, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.ORCID http://orcid.org/0000-0002-8453-8435
Kenneth H WilliamsEarth and Environmental Sciences, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
Harry R BellerEarth and Environmental Sciences, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.ORCID http://orcid.org/0000-0001-9637-3650
Bruce A BuchholzCenter for Accelerator Mass Spectrometry, Lawrence Livermore National Laboratory, Livermore, CA, 94551-9900, USA.ORCID http://orcid.org/0000-0002-9531-551X
Lawrence Berkeley National Laboratory · USBarnard College · USLawrence Livermore National Laboratory · US

Funding

Training CoreP42ES010349 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI NAVAS-ACIEN, ANA · 2000 to 2020
$53.6M
Resource for the Development of Biomedical Accelerator Mass Spectrometry (AMS)P41GM103483 · NIGMS · UNIVERSITY OF CALIF-LAWRNC LVRMR NAT LAB · PI TURTELTAUB, KENNETH W. · 2012 to 2019
$12.0M
Genome Sequencer FLXS10RR029668 · NCRR · UNIVERSITY OF CALIFORNIA BERKELEY · PI NGAI, JOHN J. · 2010 to 2010
$623k
Illumina Sequencer to Facilitate Functional Genomics at BerkeleyS10RR027303 · NCRR · UNIVERSITY OF CALIFORNIA BERKELEY · PI TAYLOR, JOHN W. · 2010 to 2010
$500k
NCRR NIH HHS S10 RR027303NCRR NIH HHS S10 RR029668NIEHS NIH HHS P42 ES010349NIGMS NIH HHS P41 GM103483
6 · The paper itself

Abstract

Determining the carbon sources for active microbial populations in the subsurface is a challenging but highly informative component of subsurface microbial ecology. This work developed a method to provide ecological insights into groundwater microbial communities by characterizing community RNA through its radiocarbon and ribosomal RNA (rRNA) signatures. RNA was chosen as the biomolecule of interest because rRNA constitutes the majority of RNA in prokaryotes, represents recently active organisms, and yields detailed taxonomic information. The method was applied to a groundwater filter collected from a shallow alluvial aquifer in Colorado. RNA was extracted, radiometrically dated, and the 16S rRNA was analyzed by RNA-Seq. The RNA had a radiocarbon signature (Δ

Indexed as

Autotrophic ProcessesWater MicrobiologyBacteriaBase SequenceCarbon CycleCarbon RadioisotopesColoradoEscherichia coliGroundwaterIronPhylogenyRadiometric DatingRNA, BacterialRNA, Ribosomal, 16SSequence Analysis, RNASulfurCarbon-14Carbon RadioisotopesIronRNA, BacterialRNA, Ribosomal, 16SSulfur

Identifiers

PMID31316095
PMCPMC6637170
OpenAlexW2958541674

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.