Evidence map›Paper›PMID 31160374›Full record

ArticleGenome research2019

BiosyntheticSPAdes: reconstructing biosynthetic gene clusters from assembly graphs.

Dmitry Meleshko, Hosein Mohimani, Vittorio Tracanna, Iman Hajirasouliha, Marnix H Medema, Anton Korobeynikov, Pavel A Pevzner

Abstract read
In one paragraph

Article in Genome research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing 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

47 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Emergence and evolution of heterocyte glycolipid biosynthesis enabled specialized nitrogen fixation in cyanobacteria.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  11. Genome-resolved analysis of Serratia marcescens strain SMTT infers niche specialization as a hydrocarbon-degrader.DNA research : an international journal for rapid publication of reports on genes and genomes · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Does regulation hold the key to optimizing lipopeptide production inFrontiers in bioengineering and biotechnology · 2024
    Review
  18. Review
  19. Article
  20. Review
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.

Dmitry MeleshkoCenter for Algorithmic Biotechnology, Institute for Translational Biomedicine, St. Petersburg State University, St. Petersburg, Russia, 19904.ORCID 0000-0002-7398-9820
Hosein MohimaniDepartment of Computer Science and Engineering, University of California, San Diego, California 92093-0404, USA.ORCID 0000-0003-3980-2505
Vittorio TracannaBioinformatics Group, Wageningen University, 6708 PB Wageningen, The Netherlands.
Iman HajirasoulihaInstitute for Computational Biomedicine, Department of Physiology and Biophysics, Weill Cornell Medicine of Cornell University, New York, New York 10021, USA.
Marnix H MedemaBioinformatics Group, Wageningen University, 6708 PB Wageningen, The Netherlands.
Anton KorobeynikovCenter for Algorithmic Biotechnology, Institute for Translational Biomedicine, St. Petersburg State University, St. Petersburg, Russia, 19904.ORCID 0000-0002-2937-9259
Pavel A PevznerCenter for Algorithmic Biotechnology, Institute for Translational Biomedicine, St. Petersburg State University, St. Petersburg, Russia, 19904.

Funding

TrainingP41GM103484 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PEVZNER, PAVEL A · 2012 to 2018
$8.7M
Tri-Institutional Training Program in Computational Biology & MedicineT32GM083937 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI CHRISTINI, DAVID J. · 2009 to 2018
$3.1M
NIGMS NIH HHS P41 GM103484NIGMS NIH HHS T32 GM083937
6 · The paper itself

Abstract

Predicting biosynthetic gene clusters (BGCs) is critically important for discovery of antibiotics and other natural products. While BGC prediction from complete genomes is a well-studied problem, predicting BGCs in fragmented genomic assemblies remains challenging. The existing BGC prediction tools often assume that each BGC is encoded within a single contig in the genome assembly, a condition that is violated for most sequenced microbial genomes where BGCs are often scattered through several contigs, making it difficult to reconstruct them. The situation is even more severe in shotgun metagenomics, where the contigs are often short, and the existing tools fail to predict a large fraction of long BGCs. While it is difficult to assemble BGCs in a single contig, the structure of the genome assembly graph often provides clues on how to combine multiple contigs into segments encoding long BGCs. We describe biosyntheticSPAdes, a tool for predicting BGCs in assembly graphs and demonstrate that it greatly improves the reconstruction of BGCs from genomic and metagenomics data sets.

Indexed as

Genes, BacterialMetagenomeMultigene FamilySoftwareContig MappingDatasets as TopicDental PlaqueGingivaHumansInternetMetagenomicsMouth MucosaPharynxProtein BiosynthesisTongue

Identifiers

PMID31160374
PMCPMC6673720

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.