Evidence map›Paper›PMID 35602034›Full record

ArticleFrontiers in microbiology2022

Diet and Host Genetics Drive the Bacterial and Fungal Intestinal Metatranscriptome of Gilthead Sea Bream.

Fernando Naya-Català, M Carla Piazzon, Josep A Calduch-Giner, Ariadna Sitjà-Bobadilla, Jaume Pérez-Sánchez

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

5 authors.

Fernando Naya-CatalàNutrigenomics and Fish Growth Endocrinology Group, Institute of Aquaculture Torre de la Sal Spanish National Research Council (IATS-CSIC), Valencia, Spain.
M Carla PiazzonFish Pathology Group, Institute of Aquaculture Torre de la Sal Spanish National Research Council (IATS-CSIC), Valencia, Spain.
Josep A Calduch-GinerNutrigenomics and Fish Growth Endocrinology Group, Institute of Aquaculture Torre de la Sal Spanish National Research Council (IATS-CSIC), Valencia, Spain.
Ariadna Sitjà-BobadillaFish Pathology Group, Institute of Aquaculture Torre de la Sal Spanish National Research Council (IATS-CSIC), Valencia, Spain.
Jaume Pérez-SánchezNutrigenomics and Fish Growth Endocrinology Group, Institute of Aquaculture Torre de la Sal Spanish National Research Council (IATS-CSIC), Valencia, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The gut microbiota is now recognised as a key target for improving aquaculture profit and sustainability, but we still lack insights into the activity of microbes in fish mucosal surfaces. In the present study, a metatranscriptomic approach was used to reveal the expression of gut microbial genes in the farmed gilthead sea bream. Archaeal and viral transcripts were a minority but, interestingly and contrary to rRNA amplicon-based studies, fungal transcripts were as abundant as bacterial ones, and increased in fish fed a plant-enriched diet. This dietary intervention also drove a differential metatranscriptome in fish selected for fast and slow growth. Such differential response reinforced the results of previously inferred metabolic pathways, enlarging, at the same time, the catalogue of microbial functions in the intestine. Accordingly, vitamin and amino acid metabolism, and rhythmic and symbiotic processes were mostly shaped by bacteria, whereas fungi were more specifically configuring the host immune, digestive, or endocrine processes.

Indexed as

archaeabacteriafungimetatranscriptomenutritionselective breedingteleost fishvirus

Identifiers

PMID35602034
PMCPMC9121002

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.