ArticleGenome announcements2015
Near-Complete Genome Sequence of the Cellulolytic Bacterium Bacteroides (Pseudobacteroides) cellulosolvens ATCC 35603.
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.
- The Cellulosome Paradigm in An Extreme Alkaline Environment.Microorganisms · 2019Article
- Unraveling essential cellulosomal components of the (Biotechnology for biofuels · 2019Article
- A Case Study into Microbial Genome Assembly Gap Sequences and Finishing Strategies.Frontiers in microbiology · 2017Article
- Unique organization and unprecedented diversity of theBiotechnology for biofuels · 2017Article
- A dual cohesin-dockerin complex binding mode in Bacteroides cellulosolvens contributes to the size and complexity of its cellulosome.The Journal of biological chemistryArticle
Corrections and comments
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We report the single-contig genome sequence of the anaerobic, mesophilic, cellulolytic bacterium, Bacteroides cellulosolvens. The bacterium produces a particularly elaborate cellulosome system, wherein the types of cohesin-dockerin interactions are opposite of other known cellulosome systems: cell-surface attachment is thus mediated via type-I interactions, whereas enzymes are integrated via type-II interactions.
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.