Evidence map›Paper›PMID 25642215›Full record

ReviewFrontiers in microbiology2014

Next-generation sequencing approach for connecting secondary metabolites to biosynthetic gene clusters in fungi.

Ralph A Cacho, Yi Tang, Yit-Heng Chooi

Abstract readReview
In one paragraph

Review in Frontiers in microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

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  14. Genomic Analyses ofJournal of fungi (Basel, Switzerland) · 2021
    Article
  15. Article
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  17. Victorin, the host-selective cyclic peptide toxin from the oat pathogenProceedings of the National Academy of Sciences of the United States of America · 2020
    Article
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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

3 authors.

Ralph A CachoChemical and Biomolecular Engineering Department, University of California Los Angeles, Los Angeles, CA, USA.
Yi TangChemical and Biomolecular Engineering Department, University of California Los Angeles, Los Angeles, CA, USA ; Chemistry and Biochemistry Department, University of California Los Angeles, Los Angeles, CA, USA.
Yit-Heng ChooiPlant Sciences Division, Research School of Biology, The Australian National University Canberra, ACT, Australia.

Funding

CHEMISTRY BIOLOGY INTERFACE TRAINING PROGRAMT32GM008496 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MAYNARD, HEATHER D · 1993 to 2019
$6.3M
Rediscovering Natural Chemical Diversity -1DP1GM106413DP1GM106413 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI TANG, YI · 2012 to 2016
$3.9M
NIGMS NIH HHS DP1 GM106413NIGMS NIH HHS T32 GM008496
6 · The paper itself

Abstract

Genomics has revolutionized the research on fungal secondary metabolite (SM) biosynthesis. To elucidate the molecular and enzymatic mechanisms underlying the biosynthesis of a specific SM compound, the important first step is often to find the genes that responsible for its synthesis. The accessibility to fungal genome sequences allows the bypass of the cumbersome traditional library construction and screening approach. The advance in next-generation sequencing (NGS) technologies have further improved the speed and reduced the cost of microbial genome sequencing in the past few years, which has accelerated the research in this field. Here, we will present an example work flow for identifying the gene cluster encoding the biosynthesis of SMs of interest using an NGS approach. We will also review the different strategies that can be employed to pinpoint the targeted gene clusters rapidly by giving several examples stemming from our work.

Indexed as

filamentous fungigene clustersgenome miningnext generation sequencingsecondary metabolites

Identifiers

PMID25642215
PMCPMC4294208

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.