Evidence map›Paper›PMID 36764950›Full record

ArticleMicrobial ecology2023

Microbial Community Succession Along a Chronosequence in Constructed Salt Marsh Soils.

Carol Kim, Lorie W Staver, Xuan Chen, Ashley Bulseco, Jeffrey C Cornwell, Sairah Y Malkin

Abstract read
PubMed Publisher
In one paragraph

Article in Microbial ecology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 37% of its field
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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 3 institutions in 1 country.

Carol KimHorn Point Laboratory, University of Maryland Center for Environmental Science (UMCES), Cambridge, MD, USA.ORCID http://orcid.org/0000-0002-6242-4576
Lorie W StaverHorn Point Laboratory, University of Maryland Center for Environmental Science (UMCES), Cambridge, MD, USA.ORCID http://orcid.org/0000-0002-1443-4008
Xuan ChenDepartment of Biology, Salisbury University, Salisbury, MD, USA.
Ashley BulsecoInstitute for Future Intelligence, Natick, MA, USA.
Jeffrey C CornwellHorn Point Laboratory, University of Maryland Center for Environmental Science (UMCES), Cambridge, MD, USA.ORCID http://orcid.org/0000-0001-7111-2489
Sairah Y MalkinHorn Point Laboratory, University of Maryland Center for Environmental Science (UMCES), Cambridge, MD, USA. smalkin@umces.edu.ORCID http://orcid.org/0000-0002-7523-1589
University of Maryland Center for Environmental Science · USInstitute for the Future · USSalisbury University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we examined the succession of soil microbial communities across a chronosequence of newly constructed salt marshes constructed primarily of fine-grained dredge material, using 16S rRNA amplicon sequences. Alpha diversity in the subsurface horizons was initially low and increased to reference levels within 3 years of marsh construction, while alpha diversity in the newly accumulating organic matter-rich surface soils was initially high and remained unchanged. Microbial community succession was fastest in the surface horizon (~ 24 years to reference equivalency) and became progressively slower with depth in the subsurface horizons (~ 30-67 years). Random forest linear regression analysis was used to identify important taxa driving the trajectories toward reference conditions. In the parent material, putative sulfate-reducers (Desulfobacterota), methanogens (Crenarchaeota, especially Methanosaeta), and fermenters (Chloroflexi and Clostridia) increased over time, suggesting an enrichment of these metabolisms over time, similar to natural marshes. Concurrently in the surface soils, the relative abundances of putative methane-, methyl-, and sulfide oxidizers, especially among Gammaproteobacteria, increased over time, suggesting the co-development of sulfide and methane removal metabolisms in marsh soils. Finally, we observed that the surface soil communities at one of the marshes did not follow the trajectory of the others, exhibiting a greater relative abundance of anaerobic taxa. Uniquely in this dataset, this marsh was developing signs of excessive inundation stress in terms of vegetation coverage and soil geochemistry. Therefore, we suggest that soil microbial community structure may be effective bioindicators of salt marsh inundation and are worthy of further targeted investigation.

Indexed as

MicrobiotaWetlandsMethaneRNA, Ribosomal, 16SSoilMethaneRNA, Ribosomal, 16SSoilChesapeake BayMicrobial indicatorsPoplar IslandRegression random forest analysisSalt marsh constructionSalt marsh restoration

Identifiers

PMID36764950
OpenAlexW4320033051

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.