Evidence map›Paper›PMID 36527140›Full record

ArticleMicrobiome2022

Rice flowering improves the muscle nutrient, intestinal microbiota diversity, and liver metabolism profiles of tilapia (Oreochromis niloticus) in rice-fish symbiosis.

Erlong Wang, Ya Zhou, Yue Liang, Fei Ling, Xiaoshu Xue, Xianlin He, Xuliang Zhai, Yang Xue, Chunlong Zhou, Guo Tang and 1 more

Open access · goldAbstract readVideo-Audio Media
In one paragraph

Article in Microbiome, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
17.2field-weighted citation impact, top 1% 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

20 citing papers in PubMed, 48 citations in OpenAlex.

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  13. Morphological and Histological Analysis of the Gastrointestinal Systems inAnimals : an open access journal from MDPI · 2025
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  18. Heat-KilledNutrients · 2024
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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

11 authors at 3 institutions in 2 countries.

Erlong Wang *College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, Shaanxi, China. welsicau@126.com.
Ya Zhou *Chongqing Three Gorges Vocational College, Chongqing, 404155, China. asian_chou@outlook.com.
Yue Liang *Department of Chemical Engineering, Auburn University, Auburn, AL, 36849, USA.
Fei Ling *College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Xiaoshu XueChongqing Three Gorges Vocational College, Chongqing, 404155, China.
Xianlin HeChongqing Three Gorges Vocational College, Chongqing, 404155, China.
Xuliang ZhaiChongqing Fisheries Technical Extension Center, Chongqing, 401121, China.
Yang XueChongqing Fisheries Technical Extension Center, Chongqing, 401121, China.
Chunlong ZhouChongqing Fisheries Technical Extension Center, Chongqing, 401121, China.
Guo TangChongqing Three Gorges Vocational College, Chongqing, 404155, China.
Gaoxue WangCollege of Animal Science and Technology, Northwest A&F University, Yangling, 712100, Shaanxi, China. wanggaoxue@126.com.
Chongqing Three Gorges University · CNNorthwest A&F University · CNAuburn University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRice-fish symbiosis, as an ecological and green aquaculture model, is an effective measure to relieve the environmental stress from intensive aquaculture. Compared with traditional aquaculture, the altered rearing pattern and environment will make differences in muscle nutrient and quality, intestinal microbiota, body metabolism, and even disease resistance in fish.

resultsTo investigate this, we explored the differences between rice-tilapia (aRT and bRT) and tank-tilapia (aTT and bTT) models at the periods before and after rice flowering using 16S rRNA sequencing and untargeted metabolomics. The results showed that compared with tilapia reared in the tank model, the fish body length and weight, the muscle total umami amino acid, and monounsaturated fatty acid content were obviously higher in the rice-fish model, especially after rice flowering. Compared with other groups, the intestinal microbiota diversity of fish in the bRT group was significantly higher; the dominant microbiota was Bacteroidetes and Firmicutes at the phylum level, Bacteroides and Turicibacter at the genus level, and the relative abundances of Gram-negative, potentially pathogenic, and stress-tolerant bacteria were the highest, lowest, and highest, respectively. Besides, the differential metabolite analysis indicated that rice-fish symbiosis improved the metabolic profiles and modulated the metabolic pathways in tilapia. Moreover, the correlation analysis of 16S sequencing and metabolomics showed that Bacteroides showed a positive correlation with many metabolites related to amino acid, fatty acid, and lipid metabolism. Video Abstract

conclusionsIn summary, rice flowering improves the tilapia muscle nutrient, intestinal microbiota diversity, and disease resistance and modulates the host metabolism to acclimatize the comprehensive environment in rice-fish symbiosis. Specifically, rice flowering alters the microbiota abundance involved in amino acid, fatty acid, and lipid metabolism, resulting in improving the muscle nutrient and quality through the crosstalk of gut microbial and host metabolism. Our study will provide not only new insight into the gut microbiota-metabolism-phenotype axis, but also strong support for the promotion and application of rice-fish symbiosis in aquaculture.

Indexed as

CichlidsGastrointestinal MicrobiomeOryzaTilapiaAmino AcidsAnimalsDisease ResistanceFatty AcidsLiverMusclesNutrientsRNA, Ribosomal, 16SSymbiosisAmino AcidsFatty AcidsNutrientsRNA, Ribosomal, 16SIntestinal microbiotaLiver metabolomicsMuscle nutrientRice-fish symbiosisTilapia

Identifiers

PMID36527140
PMCPMC9756501
OpenAlexW4312067043

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.