Evidence map›Paper›PMID 39028532›Full record

ArticleBrazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]2024

Organic matter decay and bacterial community succession in mangroves under simulated climate change scenarios.

Juanita H Solano, Marta A Moitinho, Josiane B Chiaramonte, Laura Bononi, Ana Paula Packer, Itamar S Melo, Francisco Dini-Andreote, Siu Mui Tsai, Rodrigo G Taketani

Abstract read
In one paragraph

Article in Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology], 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Juanita H SolanoBrazilian Agricultural. Research Corporation, Embrapa Environment, SP 340. Highway-Km 127.5, Jaguariúna, SP, 13820-000, Brazil.
Marta A MoitinhoBrazilian Agricultural. Research Corporation, Embrapa Environment, SP 340. Highway-Km 127.5, Jaguariúna, SP, 13820-000, Brazil.
Josiane B ChiaramonteBrazilian Agricultural. Research Corporation, Embrapa Environment, SP 340. Highway-Km 127.5, Jaguariúna, SP, 13820-000, Brazil.
Laura BononiBrazilian Agricultural. Research Corporation, Embrapa Environment, SP 340. Highway-Km 127.5, Jaguariúna, SP, 13820-000, Brazil.
Ana Paula PackerBrazilian Agricultural. Research Corporation, Embrapa Environment, SP 340. Highway-Km 127.5, Jaguariúna, SP, 13820-000, Brazil.
Itamar S MeloBrazilian Agricultural. Research Corporation, Embrapa Environment, SP 340. Highway-Km 127.5, Jaguariúna, SP, 13820-000, Brazil.
Francisco Dini-AndreoteDepartment of Plant Science and Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA, USA.
Siu Mui TsaiCenter for Nuclear Energy in Agriculture, University of São Paulo, Piracicaba, SP, Brazil.
Rodrigo G TaketaniCollege of Agriculture Luiz de Queiroz, University of São Paulo, Pádua Dias Avenue, 11, Piracicaba, SP, 13418-900, Brazil. rgtaketani@gmail.com.ORCID http://orcid.org/0000-0002-5999-8704

Funding

Fundação de Amparo à Pesquisa do Estado de São Paulo 2013/03158-4Fundação de Amparo à Pesquisa do Estado de São Paulo 2013/23470-2Fundação de Amparo à Pesquisa do Estado de São Paulo 2015/23102-9
6 · The paper itself

Abstract

Mangroves are coastal environments that provide resources for adjacent ecosystems due to their high productivity, organic matter decomposition, and carbon cycling by microbial communities in sediments. Since the industrial revolution, the increase of Greenhouse Gases (GHG) released due to fossil fuel burning led to many environmental abnormalities such as an increase in average temperature and ocean acidification. Based on the hypothesis that climate change modifies the microbial diversity associated with decaying organic matter in mangrove sediments, this study aimed to evaluate the microbial diversity under simulated climate change conditions during the litter decomposition process and the emission of GHG. Thus, microcosms containing organic matter from the three main plant species found in mangroves throughout the State of São Paulo, Brazil (Rhizophora mangle, Laguncularia racemosa, and Avicennia schaueriana) were incubated simulating climate changes (increase in temperature and pH). The decay rate was higher in the first seven days of incubation, but the differences between the simulated treatments were minor. GHG fluxes were higher in the first ten days and higher in samples under increased temperature. The variation in time resulted in substantial impacts on α-diversity and community composition, initially with a greater abundance of Gammaproteobacteria for all plant species despite the climate conditions variations. The PCoA analysis reveals the chronological sequence in β-diversity, indicating the increase of Deltaproteobacteria at the end of the process. The GHG emission varied in function of the organic matter source with an increase due to the elevated temperature, concurrent with the rise in the Deltaproteobacteria population. Thus, these results indicate that under the expected climate change scenario for the end of the century, the decomposition rate and GHG emissions will be potentially higher, leading to a harmful feedback loop of GHG production. This process can happen independently of an impact on the bacterial community structure due to these changes.

Indexed as

BacteriaClimate ChangeMicrobiotaRhizophoraceaeAvicenniaBiodiversityBrazilGeologic SedimentsGreenhouse GasesSoil MicrobiologyTemperatureWetlandsGreenhouse GasesBacterial communityClimate changeMangrove plant degradationMicrocosmsSuccession

Identifiers

PMID39028532
PMCPMC11711568

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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.