ArticleGenome announcements2015
Genome Sequence of the Potato Plant Pathogen Dickeya dianthicola Strain RNS04.9.
Article in Genome announcements, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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.
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Who cites it
5 citing papers in PubMed.
- Species ofMicroorganisms · 2021Article
- Transcriptome and Comparative Genomics Analyses Reveal New Functional Insights on Key Determinants of Pathogenesis and Interbacterial Competition inApplied and environmental microbiology · 2019Article
- Draft Genome Sequences of Two Dickeya dianthicola Isolates from Potato.Genome announcements · 2018Article
- Complete Genome Sequences of the Plant PathogensGenome announcements · 2018Article
- Biocontrol of the Potato Blackleg and Soft Rot Diseases Caused by Dickeya dianthicola.Applied and environmental microbiology · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dickeya dianthicola is one of the causative agents of soft rot and blackleg diseases, which are currently identified in European countries in a wide range of crops. Here, we report the draft genome sequence of D. dianthicola strain RNS04.9, which was isolated from a potato plant with blackleg symptoms in 2004.
Identifiers
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Registered trials
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.