Evidence map›Paper›PMID 25756680›Full record

ArticleThe ISME journal2015

Genomic and phenotypic differentiation among Methanosarcina mazei populations from Columbia River sediment.

Nicholas D Youngblut, Joseph S Wirth, James R Henriksen, Maria Smith, Holly Simon, William W Metcalf, Rachel J Whitaker

Abstract read
In one paragraph

Article in The ISME journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Response of the Anaerobic Methanotrophic ArchaeonFrontiers in microbiology · 2022
    Article
  3. Article
  4. Correlation of Key Physiological Properties ofApplied and environmental microbiology · 2021
    Article
  5. Article
  6. Article
  7. Article
  8. Exploring tRNA gene cluster in archaea.Memorias do Instituto Oswaldo Cruz · 2019
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. sRNARNA biology · 2017
    Article
  14. Cas9-mediated genome editing in the methanogenic archaeonProceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

7 authors.

Nicholas D YoungblutDepartment of Microbiology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Joseph S WirthDepartment of Microbiology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
James R HenriksenDepartment of Microbiology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Maria SmithDivision of Environmental and Biomolecular Systems, Institute of Environmental Health, Oregon Health and Science University, Portland, OR, USA.
Holly SimonDivision of Environmental and Biomolecular Systems, Institute of Environmental Health, Oregon Health and Science University, Portland, OR, USA.
William W MetcalfDepartment of Microbiology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.ORCID http://orcid.org/0000-0002-0182-0671
Rachel J WhitakerDepartment of Microbiology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Methanogenic archaea are genotypically and phenotypically diverse organisms that are integral to carbon cycling in anaerobic environments. Owing to their genetic tractability and ability to be readily cultivated, Methanosarcina spp. have become a powerful model system for understanding methanogen biology at the cellular systems level. However, relatively little is known of how genotypic and phenotypic variation is partitioned in Methanosarcina populations inhabiting natural environments and the possible ecological and evolutionary implications of such variation. Here, we have identified how genomic and phenotypic diversity is partitioned within and between Methanosarcina mazei populations obtained from two different sediment environments in the Columbia River Estuary (Oregon, USA). Population genomic analysis of 56 M. mazei isolates averaging <1% nucleotide divergence revealed two distinct clades, which we refer to as 'mazei-T' and 'mazei-WC'. Genomic analyses showed that these clades differed in gene content and fixation of allelic variants, which point to potential differences in primary metabolism and also interactions with foreign genetic elements. This hypothesis of niche partitioning was supported by laboratory growth experiments that revealed significant differences in trimethylamine utilization. These findings improve our understanding of the ecologically relevant scales of genomic variation in natural systems and demonstrate interactions between genetic and ecological diversity in these easily cultivable and genetically tractable model methanogens.

Indexed as

Genome, ArchaealGenomicsGeologic SedimentsMethanosarcinaOregonPhylogenyRivers

Identifiers

PMID25756680
PMCPMC4579472

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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.