Evidence map›Paper›PMID 28861526›Full record

ArticlemSystems

Metabolic Network Analysis and Metatranscriptomics Reveal Auxotrophies and Nutrient Sources of the Cosmopolitan Freshwater Microbial Lineage acI.

Joshua J Hamilton, Sarahi L Garcia, Brittany S Brown, Ben O Oyserman, Francisco Moya-Flores, Stefan Bertilsson, Rex R Malmstrom, Katrina T Forest, Katherine D McMahon

Abstract read
In one paragraph

Article in mSystems. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Opsins are Phospholipid Scramblases in All Domains of Life.bioRxiv : the preprint server for biology · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Heme auxotrophy in abundant aquatic microbial lineages.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  11. Omega Rhodopsins: A Versatile Class of Microbial Rhodopsins.Journal of microbiology and biotechnology · 2020
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

9 authors.

Joshua J HamiltonDepartment of Bacteriology, University of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID 0000-0001-9790-3609
Sarahi L GarciaDepartment of Ecology and Genetics, Uppsala University, Uppsala, Sweden.ORCID 0000-0002-8622-0308
Brittany S BrownDepartment of Bacteriology, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Ben O OysermanDepartment of Civil and Environmental Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID 0000-0001-9052-2651
Francisco Moya-FloresDepartment of Civil and Environmental Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Stefan BertilssonDepartment of Ecology and Genetics, Uppsala University, Uppsala, Sweden.ORCID 0000-0002-4265-1835
Rex R MalmstromUnited States Department of Energy Joint Genome Institute, Walnut Creek, California, USA.ORCID 0000-0002-4758-7369
Katrina T ForestDepartment of Bacteriology, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Katherine D McMahonDepartment of Bacteriology, University of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID 0000-0002-7038-026X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An explosion in the number of available genome sequences obtained through metagenomics and single-cell genomics has enabled a new view of the diversity of microbial life, yet we know surprisingly little about how microbes interact with each other or their environment. In fact, the majority of microbial species remain uncultivated, while our perception of their ecological niches is based on reconstruction of their metabolic potential. In this work, we demonstrate how the "seed set framework," which computes the set of compounds that an organism must acquire from its environment (E. Borenstein, M. Kupiec, M. W. Feldman, and E. Ruppin, Proc Natl Acad Sci U S A 105:14482-14487, 2008, https://doi.org/10.1073/pnas.0806162105), enables computational analysis of metabolic reconstructions while providing new insights into a microbe's metabolic capabilities, such as nutrient use and auxotrophies. We apply this framework to members of the ubiquitous freshwater actinobacterial lineage acI, confirming and extending previous experimental and genomic observations implying that acI bacteria are heterotrophs reliant on peptides and saccharides. We also present the first metatranscriptomic study of the acI lineage, revealing high expression of transport proteins and the light-harvesting protein actinorhodopsin. Putative transport proteins complement predictions of nutrients and essential metabolites while providing additional support of the hypothesis that members of the acI are photoheterotrophs.

Indexed as

freshwater microbial ecologymetabolismmetagenomicsmetatranscriptomicsphysiologysystems biology

Identifiers

PMID28861526
PMCPMC5574706

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.