Evidence map›Paper›PMID 29963029›Full record

ArticleFrontiers in microbiology2018

Microbial Community Structure-Function Relationships in Yaquina Bay Estuary Reveal Spatially Distinct Carbon and Nitrogen Cycling Capacities.

Brandon Kieft, Zhou Li, Samuel Bryson, Byron C Crump, Robert Hettich, Chongle Pan, Xavier Mayali, Ryan S Mueller

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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  11. Bacterial diversity in the aquatic system in India based on metagenome analysis-a critical review.Environmental science and pollution research international · 2023
    Review
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  19. Phytoplankton exudates and lysates support distinct microbial consortia with specialized metabolic and ecophysiological traits.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  20. Recovery and Community Succession of theApplied and environmental microbiology · 2021
    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

8 authors.

Brandon KieftDepartment of Microbiology, Oregon State University, Corvallis, OR, United States.
Zhou LiOak Ridge National Laboratory, Oak Ridge, TN, United States.
Samuel BrysonDepartment of Civil and Environmental Engineering, The University of Washington, Seattle, WA, United States.
Byron C CrumpCollege of Earth, Ocean, and Atmospheric Sciences, Oregon State University, Corvallis, OR, United States.
Robert HettichOak Ridge National Laboratory, Oak Ridge, TN, United States.
Chongle PanOak Ridge National Laboratory, Oak Ridge, TN, United States.
Xavier MayaliLawrence Livermore National Laboratory, U.S. Department of Energy, Livermore, CA, United States.
Ryan S MuellerDepartment of Microbiology, Oregon State University, Corvallis, OR, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Linking microbial community structure to ecological processes requires understanding of the functional roles among individual populations and the factors that influence their distributions. These structure-function relationships are particularly difficult to disentangle in estuaries, due to highly variable physico-chemical conditions. Yet, examining microbe-mediated turnover of resources in these "bioreactor" ecosystems is critical for understanding estuarine ecology. In this study, a combined metagenomics and metaproteomics approach was used to show that the unequal distribution of microbial populations across the Yaquina Bay estuary led to a habitat-specific taxonomic and functional structure and a clear spatial distribution in microbe-mediated capacities for cycling of carbon and nitrogen. For example, size-fractionation revealed that communities inhabiting suspended particulate material encoded more diverse types of metabolisms (e.g., fermentation and denitrification) than those with a planktonic lifestyle, suggesting that the metabolic reactions can differ between size fractions of the same parcel of an estuarine water column. Similarly, communities inhabiting oligotrophic conditions in the lower estuary were enriched in genes involved in central carbon metabolism (e.g., TCA cycle), while communities in the upper estuary were enriched in genes typical of copiotrophic populations (e.g., cell growth, cell division). Integrating gene and protein data revealed that abundant populations of Flavobacteriales and Rhodobacterales encoded similar genomic functions, yet differed significantly in protein expression, dedicating a large proportion of their respective proteomes to rapid growth and division versus metabolic versatility and resource acquisition. This suggested potentially distinct life-strategies between these two co-occurring lineages and was concomitant with differing patterns of positive evolutionary selection on their encoded genes. Microbial communities and their functions across Yaquina Bay appear to be structured by population-level habitat preferences, resulting in spatially distinct elemental cycling, while within each community, forces such as competitive exclusion and evolutionary selection influence species life-strategies and may help maintain microbial diversity.

Indexed as

biogeochemical cyclingestuaryfree-livingmetagenomicsmetaproteomicsparticle-attachedYaquina Bay

Identifiers

PMID29963029
PMCPMC6010575

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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.