Evidence map›Paper›PMID 27578483›Full record

ArticleScientific reports2016

Metagenomic approach reveals microbial diversity and predictive microbial metabolic pathways in Yucha, a traditional Li fermented food.

Jiachao Zhang, Xiaoru Wang, Dongxue Huo, Wu Li, Qisong Hu, Chuanbiao Xu, Sixin Liu, Congfa Li

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

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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

41 citing papers in PubMed.

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  19. TheFrontiers in microbiology · 2023
    Review
  20. 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

8 authors.

Jiachao ZhangCollege of Food Science and Technology, Hainan University, Haikou 570228, P. R. China.
Xiaoru WangCollege of Food Science and Technology, Hainan University, Haikou 570228, P. R. China.
Dongxue HuoCollege of Food Science and Technology, Hainan University, Haikou 570228, P. R. China.
Wu LiCollege of Food Science and Technology, Hainan University, Haikou 570228, P. R. China.
Qisong HuCollege of Food Science and Technology, Hainan University, Haikou 570228, P. R. China.
Chuanbiao XuCollege of Food Science and Technology, Hainan University, Haikou 570228, P. R. China.
Sixin LiuCollege of Food Science and Technology, Hainan University, Haikou 570228, P. R. China.
Congfa LiCollege of Food Science and Technology, Hainan University, Haikou 570228, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Yucha is a typical traditional fermented food of the Li population in the Hainan province of China, and it is made up of cooked rice and fresh fish. In the present study, metagenomic approach and culture-dependent technology were applied to describe the diversity of microbiota and identify beneficial microbes in the Yucha. At the genus level, Lactobacillus was the most abundant genus (43.82% of the total reads), followed by Lactococcus, Enterococcus, Vibrio, Weissella, Pediococcus, Enterobacter, Salinivibrio, Acinetobacter, Macrococcus, Kluyvera and Clostridium; this result was confirmed by q-PCR. PCoA based on Weighted UniFrac distances showed an apparent clustering pattern for Yucha samples from different locations, and Lactobacillus sakei, Lactobacillus saniviri and Staphylococcus sciuri represented OTUs according to the major identified markers. At the microbial functional level, it was observed that there was an enrichment of metabolic functional features, including amino acid and carbohydrate metabolism, which implied that the microbial metabolism in the Yucha samples tended to be vigorous. Accordingly, we further investigated the correlation between the predominant microbes and metabolic functional features. Thirteen species of Lactobacillus (147 strains) were isolated, and Lactobacillus plantarum (60 isolates) and Lactobacillus pentosus (34 isolates) were isolated from every sample.

Indexed as

MetagenomicsAnimalsChinaClostridiumEnterococcusFermented FoodsFishesFood MicrobiologyHumansLactobacillusMetabolic Networks and PathwaysMicrobiotaOryzaPhylogenyRNA, Ribosomal, 16SWeissellaRNA, Ribosomal, 16S

Identifiers

PMID27578483
PMCPMC5006176

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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.