Evidence map›Paper›PMID 31856709›Full record

ArticleBMC genomics2019

Complete genome sequences of Streptomyces spp. isolated from disease-suppressive soils.

Stephen C Heinsch, Szu-Yi Hsu, Lindsey Otto-Hanson, Linda Kinkel, Michael J Smanski

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.1field-weighted citation impact, top 7% 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

9 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
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  3. Rhizospheric-DerivedJournal of microbiology and biotechnology · 2023
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  4. Effects ofPlant direct · 2022
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  5. Article
  6. Revealing Genome-Based Biosynthetic Potential ofAntibiotics (Basel, Switzerland) · 2022
    Article
  7. Genome mining for drug discovery: progress at the front end.Journal of industrial microbiology & biotechnology · 2021
    Review
  8. Article
  9. 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

5 authors at 1 institution in 1 country.

Stephen C HeinschBioinformatics and Computational Biology, University of Minnesota, Twin-Cities, Saint Paul, MN, 55108, USA.
Szu-Yi HsuBioTechnology Institute, University of Minnesota, Twin-Cities, Saint Paul, MN, 55108, USA.
Lindsey Otto-HansonBioTechnology Institute, University of Minnesota, Twin-Cities, Saint Paul, MN, 55108, USA.
Linda KinkelBioTechnology Institute, University of Minnesota, Twin-Cities, Saint Paul, MN, 55108, USA.
Michael J SmanskiBioinformatics and Computational Biology, University of Minnesota, Twin-Cities, Saint Paul, MN, 55108, USA. smanski@umn.edu.ORCID http://orcid.org/0000-0002-6029-8326
University of Minnesota · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBacteria within the genus Streptomyces remain a major source of new natural product discovery and as soil inoculants in agriculture where they promote plant growth and protect from disease. Recently, Streptomyces spp. have been implicated as important members of naturally disease-suppressive soils. To shine more light on the ecology and evolution of disease-suppressive microbial communities, we have sequenced the genome of three Streptomyces strains isolated from disease-suppressive soils and compared them to previously sequenced isolates. Strains selected for sequencing had previously showed strong phenotypes in competition or signaling assays.

resultsHere we present the de novo sequencing of three strains of the genus Streptomyces isolated from disease-suppressive soils to produce high-quality complete genomes. Streptomyces sp. GS93-23, Streptomyces sp. 3211-3, and Streptomyces sp. S3-4 were found to have linear chromosomes of 8.24 Mb, 8.23 Mb, and greater than 7.5 Mb, respectively. In addition, two of the strains were found to have large, linear plasmids. Each strain harbors between 26 and 38 natural product biosynthetic gene clusters, on par with previously sequenced Streptomyces spp. We compared these newly sequenced genomes with those of previously sequenced organisms. We see substantial natural product biosynthetic diversity between closely related strains, with the gain/loss of episomal DNA elements being a primary driver of genome evolution.

conclusionsLong read sequencing data facilitates large contig assembly for high-GC Streptomyces genomes. While the sample number is too small for a definitive conclusion, we do not see evidence that disease suppressive soil isolates are particularly privileged in terms of numbers of biosynthetic gene clusters. The strong sequence similarity between GS93-23 and previously isolated Streptomyces lydicus suggests that species recruitment may contribute to the evolution of disease-suppressive microbial communities.

Indexed as

Genome, BacterialSoil MicrobiologyBiological ProductsBiosynthetic PathwaysPhenotypeSequence Analysis, DNAStreptomycesBiological Products

Identifiers

PMID31856709
PMCPMC6923854
OpenAlexW2996519336

What OpenQuestion holds

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LicenceCC BY
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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.