Evidence map›Paper›PMID 25599565›Full record

ArticleeLife2015

Global biogeographic sampling of bacterial secondary metabolism.

Zachary Charlop-Powers, Jeremy G Owen, Boojala Vijay B Reddy, Melinda A Ternei, Denise O Guimarães, Ulysses A de Frias, Monica T Pupo, Prudy Seepe, Zhiyang Feng, Sean F Brady

Abstract read
In one paragraph

Article in eLife, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers.

0numbers the graph read from it
0cells of the map it votes in
79citing 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

79 citing papers in PubMed.

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19 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Zachary Charlop-PowersLaboratory of Genetically Encoded Small Molecules, Howard Hughes Medical Institute, Rockefeller University, New York, United States.
Jeremy G OwenLaboratory of Genetically Encoded Small Molecules, Howard Hughes Medical Institute, Rockefeller University, New York, United States.
Boojala Vijay B ReddyLaboratory of Genetically Encoded Small Molecules, Howard Hughes Medical Institute, Rockefeller University, New York, United States.
Melinda A TerneiLaboratory of Genetically Encoded Small Molecules, Howard Hughes Medical Institute, Rockefeller University, New York, United States.
Denise O GuimarãesLaboratório de Produtos Naturais, Curso de Farmácia, Universidade Federal do Rio de Janeiro-Campus Macaé, Rio de Janeiro, Brazil.
Ulysses A de FriasSchool of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, São Paulo, Brazil.
Monica T PupoSchool of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, São Paulo, Brazil.
Prudy SeepeKwaZulu-Natal Research Institute for Tuberculosis and HIV, Nelson R Mandela School of Medicine, Durban, South Africa.
Zhiyang FengCollege of Food Science and Technology, Nanjing Agricultural University, Nanjing, China.
Sean F BradyLaboratory of Genetically Encoded Small Molecules, Howard Hughes Medical Institute, Rockefeller University, New York, United States.

Funding

Discovery and characterization of new natural products from uncultured bacteriaR01GM077516 · NIGMS · ROCKEFELLER UNIVERSITY · PI BRADY, SEAN F · 2006 to 2014
$3.0M
Selective Enrichment of Environmental DNA for Antibiotic Producing Gene ClustersF32AI110029 · NIAID · ROCKEFELLER UNIVERSITY · PI CHARLOP-POWERS, ZACHARY · 2014 to 2016
$175k
NIAID NIH HHS F32 AI110029NIGMS NIH HHS GM077516NIGMS NIH HHS R01 GM077516
6 · The paper itself

Abstract

Recent bacterial (meta)genome sequencing efforts suggest the existence of an enormous untapped reservoir of natural-product-encoding biosynthetic gene clusters in the environment. Here we use the pyro-sequencing of PCR amplicons derived from both nonribosomal peptide adenylation domains and polyketide ketosynthase domains to compare biosynthetic diversity in soil microbiomes from around the globe. We see large differences in domain populations from all except the most proximal and biome-similar samples, suggesting that most microbiomes will encode largely distinct collections of bacterial secondary metabolites. Our data indicate a correlation between two factors, geographic distance and biome-type, and the biosynthetic diversity found in soil environments. By assigning reads to known gene clusters we identify hotspots of biomedically relevant biosynthetic diversity. These observations not only provide new insights into the natural world, they also provide a road map for guiding future natural products discovery efforts.

Indexed as

PhylogeographySecondary MetabolismBacteriaBase SequenceBiodiversityBiological ProductsPolyketide SynthasesProtein Structure, TertiaryBiological ProductsPolyketide Synthasesbiogeographybiosynthesisevolutionary biologygenomicsinfectious diseasemetagenomicsmicrobiologynatural productsnone

Identifiers

PMID25599565
PMCPMC4383359

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.