Evidence map›Paper›PMID 32705349›Full record

ArticleEnvironmental monitoring and assessment2020

Microbial community shift under exposure of dredged sediments from a eutrophic bay.

Juliana R Nascimento, Cole G Easson, Diogo de A Jurelevicius, Jose V Lopez, Edison D Bidone, Elisamara Sabadini-Santos

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental monitoring and assessment, 2020. 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
–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

2 citing papers in PubMed.

  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.

Juliana R NascimentoPrograma de Pós-Graduação em Geociências (Geoquímica), Instituto de Química, Universidade Federal Fluminense, Niterói, RJ, 24020-150, Brazil. ju_0812@hotmaill.com.ORCID http://orcid.org/0000-0003-2325-2684
Cole G EassonHalmos College of Natural Sciences and Oceanography, Nova Southeastern University, Dania Beach, FL, 33004, USA.
Diogo de A JureleviciusInstituto de Microbiologia Professor Paulo de Góes, Centro de Ciências da Saúde, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, 21944-570, Brazil.
Jose V LopezHalmos College of Natural Sciences and Oceanography, Nova Southeastern University, Dania Beach, FL, 33004, USA.
Edison D BidonePrograma de Pós-Graduação em Geociências (Geoquímica), Instituto de Química, Universidade Federal Fluminense, Niterói, RJ, 24020-150, Brazil.
Elisamara Sabadini-SantosPrograma de Pós-Graduação em Geociências (Geoquímica), Instituto de Química, Universidade Federal Fluminense, Niterói, RJ, 24020-150, Brazil.

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 155406/2018-3Conselho Nacional de Desenvolvimento Científico e Tecnológico 449631/2014-1Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 88881.135581/2016-01
6 · The paper itself

Abstract

Microbial communities occur in almost every habitat. To evaluate the homeostasis disruption of in situ microbiomes, dredged sediments from Guanabara Bay-Brazil (GB) were mixed with sediments from outside of the bay (D) in three different proportions (25%, 50%, and 75%) which we called GBD25, GBD50, and GBD75. Grain size, TOC, and metals-as indicators of complex contamination-dehydrogenase (DHA) and esterase enzymes (EST)-as indicators of microbial community availability-were determined. Microbial community composition was addressed by amplifying the 16S rRNA gene for DGGE analysis and sequencing using MiSeq platform (Illumina).We applied the quality ratio index (QR) to the GB, D, and every GBD mixture to integrate geochemical parameters with our microbiome data. QR indicated high environmental risk for GB and every GBD mixture, and low risk for D. The community shifted from aerobic to anaerobic profile, consistent with the characteristics of GB. Sample D was dominated by JTB255 marine benthic group, related to low impacted areas. Milano-WF1B-44 was the most representative of GB, often found in anaerobic and sulfur enriched environments. In GBD, the denitrifying sulfur-oxidizing bacteria, Sulfurovum, was the most representative, typically found in suboxic or anoxic niches. The canonical correspondence analysis was able to explain 60% of the community composition variation and exhibit the decrease of environmental quality as the contamination increases. Physiological and taxonomic shifts of the microbial assemblage in sediments were inferred by QR, which was suitable to determine sediment risk. The study produced sufficient information to improve the dredging plan and management.

Indexed as

Geologic SedimentsMicrobiotaBaysBrazilEnvironmental MonitoringRNA, Ribosomal, 16SRNA, Ribosomal, 16SEnzymesGuanabara BayQuality ratioRisk assessmentSequencing

Identifiers

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.