Evidence map›Paper›PMID 26944843›Full record

ArticleApplied and environmental microbiology2016

Functional Responses of Salt Marsh Microbial Communities to Long-Term Nutrient Enrichment.

Christopher J Graves, Elizabeth J Makrides, Victor T Schmidt, Anne E Giblin, Zoe G Cardon, David M Rand

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

6 authors.

Christopher J GravesBrown University, Department of Ecology and Evolutionary Biology, Providence, Rhode Island, USA.
Elizabeth J MakridesBrown University, Division of Applied Mathematics, Providence, Rhode Island, USA.
Victor T SchmidtBrown University, Department of Ecology and Evolutionary Biology, Providence, Rhode Island, USA.
Anne E GiblinMarine Biological Laboratory, Ecosystems Center, Woods Hole, Massachusetts, USA.
Zoe G CardonMarine Biological Laboratory, Ecosystems Center, Woods Hole, Massachusetts, USA.
David M RandBrown University, Department of Ecology and Evolutionary Biology, Providence, Rhode Island, USA david_rand@brown.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelledEnvironmental nutrient enrichment from human agricultural and waste runoff could cause changes to microbial communities that allow them to capitalize on newly available resources. Currently, the response of microbial communities to nutrient enrichment remains poorly understood, and, while some studies have shown no clear changes in community composition in response to heavy nutrient loading, others targeting specific genes have demonstrated clear impacts. In this study, we compared functional metagenomic profiles from sediment samples taken along two salt marsh creeks, one of which was exposed for more than 40 years to treated sewage effluent at its head. We identified strong and consistent increases in the relative abundance of microbial genes related to each of the biochemical steps in the denitrification pathway at enriched sites. Despite fine-scale local increases in the abundance of denitrification-related genes, the overall community structures based on broadly defined functional groups and taxonomic annotations were similar and varied with other environmental factors, such as salinity, which were common to both creeks. Homology-based taxonomic assignments of nitrous oxide reductase sequences in our data show that increases are spread over a broad taxonomic range, thus limiting detection from taxonomic data alone. Together, these results illustrate a functionally targeted yet taxonomically broad response of microbial communities to anthropogenic nutrient loading, indicating some resolution to the apparently conflicting results of existing studies on the impacts of nutrient loading in sediment communities. IMPORTANCE: In this study, we used environmental metagenomics to assess the response of microbial communities in estuarine sediments to long-term, nutrient-rich sewage effluent exposure. Unlike previous studies, which have mainly characterized communities based on taxonomic data or primer-based amplification of specific target genes, our whole-genome metagenomics approach allowed an unbiased assessment of the abundance of denitrification-related genes across the entire community. We identified strong and consistent increases in the relative abundance of gene sequences related to denitrification pathways across a broad phylogenetic range at sites exposed to long-term nutrient addition. While further work is needed to determine the consequences of these community responses in regulating environmental nutrient cycles, the increased abundance of bacteria harboring denitrification genes suggests that such processes may be locally upregulated. In addition, our results illustrate how whole-genome metagenomics combined with targeted hypothesis testing can reveal fine-scale responses of microbial communities to environmental disturbance.

Indexed as

MetagenomicsSoil MicrobiologyWater MicrobiologyWetlandsBase SequenceDenitrificationEcosystemGeologic SedimentsMassachusettsMetabolic Networks and PathwaysMicrobiotaNitratesPhylogenySalinitySequence Homology, Nucleic AcidSewageNitratesSewageWater

Identifiers

PMID26944843
PMCPMC4836423

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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.