Evidence map›Paper›PMID 38833478›Full record

ArticlePloS one2024

Identification of bacteria in potential mutualism with toxic Alexandrium catenella in Chilean Patagonian fjords by in vitro and field monitoring.

Kyoko Yarimizu, Jorge I Mardones, Javier Paredes-Mella, Ishara Uhanie Perera, So Fujiyoshi, Gonzalo Fuenzalida, Jacquelinne J Acuña, Tay Ruiz-Gil, Marco Campos, Joaquin-Ignacio Rilling and 7 more

Abstract read
In one paragraph

Article in PloS one, 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

17 authors.

Kyoko YarimizuMicrobial Genomics and Ecology, The IDEC Institute, Hiroshima University, Higashi-Hiroshima City, Hiroshima, Japan.
Jorge I MardonesCentro de Estudios de Algas Nocivas (CREAN), Instituto de Fomento Pesquero (IFOP), Puerto Montt, Chile.
Javier Paredes-MellaCentro de Estudios de Algas Nocivas (CREAN), Instituto de Fomento Pesquero (IFOP), Puerto Montt, Chile.
Ishara Uhanie PereraMicrobial Genomics and Ecology, The IDEC Institute, Hiroshima University, Higashi-Hiroshima City, Hiroshima, Japan.
So FujiyoshiMicrobial Genomics and Ecology, The IDEC Institute, Hiroshima University, Higashi-Hiroshima City, Hiroshima, Japan.ORCID 0000-0003-4306-332X
Gonzalo FuenzalidaCentro de Estudios de Algas Nocivas (CREAN), Instituto de Fomento Pesquero (IFOP), Puerto Montt, Chile.
Jacquelinne J AcuñaLaboratorio Ecología Microbiana Aplicada (EMALAB), Scientific and Biotechnological Bioresource Nucleus (BIOREN-UFRO), Universidad de La Frontera, Temuco, Chile.
Tay Ruiz-GilLaboratorio Ecología Microbiana Aplicada (EMALAB), Scientific and Biotechnological Bioresource Nucleus (BIOREN-UFRO), Universidad de La Frontera, Temuco, Chile.
Marco CamposLaboratorio Ecología Microbiana Aplicada (EMALAB), Scientific and Biotechnological Bioresource Nucleus (BIOREN-UFRO), Universidad de La Frontera, Temuco, Chile.ORCID 0000-0001-5334-2053
Joaquin-Ignacio RillingLaboratorio Ecología Microbiana Aplicada (EMALAB), Scientific and Biotechnological Bioresource Nucleus (BIOREN-UFRO), Universidad de La Frontera, Temuco, Chile.
Pedro Calabrano MirandaCentro de Estudios de Algas Nocivas (CREAN), Instituto de Fomento Pesquero (IFOP), Puerto Montt, Chile.
Jonnathan VilugrónCentro de Estudios de Algas Nocivas (CREAN), Instituto de Fomento Pesquero (IFOP), Puerto Montt, Chile.
Oscar Espinoza-GonzálezCentro de Estudios de Algas Nocivas (CREAN), Instituto de Fomento Pesquero (IFOP), Puerto Montt, Chile.
Leonardo GuzmánCentro de Estudios de Algas Nocivas (CREAN), Instituto de Fomento Pesquero (IFOP), Puerto Montt, Chile.
Satoshi NagaiJapan Coastal and Inland Fisheries Ecosystems Division, Fisheries Technology Institute, Japan Fisheries Research and Education Agency, Yokohama, Kanagawa, Japan.
Milko A JorqueraLaboratorio Ecología Microbiana Aplicada (EMALAB), Scientific and Biotechnological Bioresource Nucleus (BIOREN-UFRO), Universidad de La Frontera, Temuco, Chile.
Fumito MaruyamaMicrobial Genomics and Ecology, The IDEC Institute, Hiroshima University, Higashi-Hiroshima City, Hiroshima, Japan.ORCID 0000-0003-2347-616X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The dinoflagellate Alexandrium catenella is a well-known paralytic shellfish toxin producer that forms harmful algal blooms, repeatedly causing damage to Chilean coastal waters. The causes and behavior of algal blooms are complex and vary across different regions. As bacterial interactions with algal species are increasingly recognized as a key factor driving algal blooms, the present study identifies several bacterial candidates potentially associated with Chilean Alexandrium catenella. This research narrowed down the selection of bacteria from the Chilean A. catenella culture using antibiotic treatment and 16S rRNA metabarcoding analysis. Subsequently, seawater from two Chilean coastal stations, Isla Julia and Isla San Pedro, was monitored for two years to detect Alexandrium species and the selected bacteria, utilizing 16S and 18S rRNA gene metabarcoding analyses. The results suggested a potential association between Alexandrium species and Spongiibacteraceae at both stations. The proposed candidate bacteria within the Spongiibacteraceae family, potentially engaging in mutualistic relationships with Alexandrium species, included the genus of BD1-7 clade, Spongiibbacter, and Zhongshania.

Indexed as

DinoflagellidaRNA, Ribosomal, 16SSymbiosisBacteriaChileHarmful Algal BloomPhylogenyRNA, Ribosomal, 18SSeawaterRNA, Ribosomal, 16SRNA, Ribosomal, 18S

Identifiers

PMID38833478
PMCPMC11149857

What OpenQuestion holds

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Registered trials

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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.