Evidence map›Paper›PMID 26567695›Full record

ArticleEnvironmental science & technology2015

Combined LC-MS/MS and Molecular Networking Approach Reveals New Cyanotoxins from the 2014 Cyanobacterial Bloom in Green Lake, Seattle.

Roberta Teta, Gerardo Della Sala, Evgenia Glukhov, Lena Gerwick, William H Gerwick, Alfonso Mangoni, Valeria Costantino

Abstract read
In one paragraph

Article in Environmental science & technology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

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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

7 authors.

Roberta TetaThe NeaNat Group, Dipartimento di Farmacia, Università degli Studi di Napoli Federico II , via D. Montesano 49, 80131 Napoli, Italy.
Gerardo Della SalaThe NeaNat Group, Dipartimento di Farmacia, Università degli Studi di Napoli Federico II , via D. Montesano 49, 80131 Napoli, Italy.
Evgenia GlukhovCenter for Marine Biotechnology and Biomedicine, Scripps Institution of Oceanography, and Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California at San Diego , 9500 Gilman Drive, MC 0212, La Jolla, California 92093-0212, United States.
Lena GerwickCenter for Marine Biotechnology and Biomedicine, Scripps Institution of Oceanography, and Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California at San Diego , 9500 Gilman Drive, MC 0212, La Jolla, California 92093-0212, United States.
William H GerwickCenter for Marine Biotechnology and Biomedicine, Scripps Institution of Oceanography, and Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California at San Diego , 9500 Gilman Drive, MC 0212, La Jolla, California 92093-0212, United States.
Alfonso MangoniThe NeaNat Group, Dipartimento di Farmacia, Università degli Studi di Napoli Federico II , via D. Montesano 49, 80131 Napoli, Italy.
Valeria CostantinoThe NeaNat Group, Dipartimento di Farmacia, Università degli Studi di Napoli Federico II , via D. Montesano 49, 80131 Napoli, Italy.

Funding

Unified Computation Tools for Natural Products ResearchR01GM107550 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI COTTRELL, GARRISON W, GERWICK, WILLIAM HENRY · 2013 to 2025
$8.2M
Neurotoxins from Marine Algae and CyanobacteriaR01NS053398 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GERWICK, WILLIAM HENRY, MURRAY, THOMAS F · 2005 to 2015
$4.3M
NIGMS NIH HHS R01 GM107550NINDS NIH HHS R01 NS053398
6 · The paper itself

Abstract

Cyanotoxins obtained from a freshwater cyanobacterial collection at Green Lake, Seattle during a cyanobacterial harmful algal bloom in the summer of 2014 were studied using a new approach based on molecular networking analysis of liquid chromatography tandem mass spectrometry (LC-MS/MS) data. This MS networking approach is particularly well-suited for the detection of new cyanotoxin variants and resulted in the discovery of three new cyclic peptides, namely microcystin-MhtyR (6), which comprised about half of the total microcystin content in the bloom, and ferintoic acids C (12) and D (13). Structure elucidation of 6 was aided by a new microscale methylation procedure. Metagenomic analysis of the bloom using the 16S-ITS rRNA region identified Microcystis aeruginosa as the predominant cyanobacterium in the sample. Fragments of the putative biosynthetic genes for the new cyanotoxins were also identified, and their sequences correlated to the structure of the isolated cyanotoxins.

Indexed as

Harmful Algal BloomChromatography, LiquidCyanobacteriaLakesMetagenomeMethylationMicrocystinsMicrocystisReference StandardsRNA, RibosomalSulfhydryl CompoundsTandem Mass SpectrometryWashingtonmicrocystinMicrocystinsRNA, RibosomalSulfhydryl Compounds

Identifiers

PMID26567695
PMCPMC4851459

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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.