Evidence map›Paper›PMID 37017718›Full record

ArticleMicrobial ecology2023

Diversity of Microbiomes Across a 13,000-Year-Old Amazon Sediment.

Cristiane C Thompson, Diogo Tschoeke, Felipe H Coutinho, Luciana Leomil, Gizele D Garcia, Koko Otsuki, Bruno J Turcq, Luciane S Moreira, Patrícia F M Turcq, Renato C Cordeiro and 2 more

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 32% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

12 authors at 4 institutions in 3 countries.

Cristiane C ThompsonInstitute of Biology, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil. thompsoncristiane@gmail.com.ORCID http://orcid.org/0000-0001-9510-3675
Diogo TschoekeInstitute of Biology, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil.
Felipe H CoutinhoInstitute of Biology, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil.
Luciana LeomilInstitute of Biology, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil.
Gizele D GarciaInstitute of Biology, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil.
Koko OtsukiInstitute of Biology, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil.
Bruno J TurcqInstitute de Recherche pour Le Dévelopment-Sorbonne, Université (UPMC, CNRS, IRD, MNHN) LOCEAN - Centre IRD France Nord, Bondy, France.
Luciane S MoreiraPrograma de Geoquímica, Universidade Federal Fluminense (UFF), Niterói, Rio de Janeiro, Brazil.
Patrícia F M TurcqInstitute de Recherche pour Le Dévelopment-Sorbonne, Université (UPMC, CNRS, IRD, MNHN) LOCEAN - Centre IRD France Nord, Bondy, France.
Renato C CordeiroPrograma de Geoquímica, Universidade Federal Fluminense (UFF), Niterói, Rio de Janeiro, Brazil.
Nils E AspInstituto de Estudos Costeiros (IECOS), Universidade Federal do Pará (UFPA), Bragança, Brazil.
Fabiano L ThompsonInstitute of Biology, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil. fabianothompson1@gmail.com.
Universidade Federal do Rio de Janeiro · BRCentre National de la Recherche Scientifique · FRUniversidade Federal Fluminense · BRUniversidade Federal do Pará · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The microbiome is fundamental for understanding bacterial activities in sediments. However, only a limited number of studies have addressed the microbial diversity of Amazonian sediments. Here, we studied the microbiome of sediments from a 13,000-year BP core retrieved in a floodplain lake in Amazonia using metagenomics and biogeochemistry. Our aim was to evaluate the possible environmental influence over a river to a lake transition using a core sample. To this end, we sampled a core in the Airo Lake, a floodplain lake in the Negro River basin. The Negro River is the largest tributary of the Amazon River. The obtained core was divided into three strata: (i) surface, almost complete separation of the Airo Lake from the Negro River when the environment becomes more lentic with greater deposition of organic matter (black-colored sediment); (ii) transitional environment (reddish brown); and (iii) deep, environment with a tendency for greater past influence of the Negro River (brown color). The deepest sample possibly had the greatest influence of the Negro River as it represented the bottom of this river in the past, while the surface sample is the current Airo Lake bottom. In total, six metagenomes were obtained from the three different depth strata (total number of reads: 10.560.701; sequence length: 538 ± 24, mean ± standard deviation). The older (deeper) sediment strata contained a higher abundance of Burkholderia, Chitinophaga, Mucilaginibacter, and Geobacter, which represented ~ 25% of the metagenomic sequences. On the other hand, the more recent sediment strata had mainly Thermococcus, Termophilum, Sulfolobus, Archaeoglobus, and Methanosarcina (in total 11% of the metagenomic sequences). The sequence data were binned into metagenome-assembled genomes (MAGs). The majority of the obtained MAGs (n = 16) corresponded to unknown taxa, suggesting they may belong to new species. The older strata sediment microbiome was enriched with sulfur cycle genes, TCA cycle, YgfZ, and ATP-dependent proteolysis in bacteria. Meanwhile, serine-glyoxylate cycle, stress response genes, bacterial cell division, cell division-ribosomal stress protein cluster, and oxidative stress increased in the younger strata. Metal resistance and antimicrobial resistance genes were found across the entire core, including genes coding for fluoroquinolones, polymyxin, vancomycin, and multidrug resistance transporters. These findings depict the possible microbial diversity during the depositional past events and provided clues of the past microbial metabolism throughout time.

Indexed as

MicrobiotaBacteriaGeologic SedimentsLakesMetagenomeRivers13,000-year-old Amazon sedimentAntibiotic resistance genesMicrobiome

Identifiers

PMID37017718
OpenAlexW4362602342

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.