Evidence map›Paper›PMID 42793987›Full record

ArticleFoods (Basel, Switzerland)2026

Genomic Characterization of Bacterial Isolates from Aerobic Fermentation of Oolong Tea Dregs: Antimicrobial Resistance, Virulence, and Lignocellulose-Degrading Potential.

Ziheng Zeng, Ren Ke, Marsena Jasiel Ismaiah, Guanming Ye, Xiaoqing Yu, Shuning Lan, Jiarui Wang, Han Yu, Huiyu Liu, Kin Sum Leung and 3 more

Abstract read
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In one paragraph

Article in Foods (Basel, Switzerland), 2026. 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

13 authors.

Ziheng ZengSchool of Biological Sciences, The University of Hong Kong, Pokfulam, Hong Kong.ORCID 0009-0000-1048-5636
Ren KeSchool of Biological Sciences, The University of Hong Kong, Pokfulam, Hong Kong.ORCID 0009-0005-4171-1356
Marsena Jasiel IsmaiahSchool of Biological Sciences, The University of Hong Kong, Pokfulam, Hong Kong.
Guanming YeSchool of Biological Sciences, The University of Hong Kong, Pokfulam, Hong Kong.
Xiaoqing YuSchool of Biological Sciences, The University of Hong Kong, Pokfulam, Hong Kong.
Shuning LanSchool of Biological Sciences, The University of Hong Kong, Pokfulam, Hong Kong.
Jiarui WangSchool of Biological Sciences, The University of Hong Kong, Pokfulam, Hong Kong.
Han YuBiotechnology and Food Engineering Program, Guangdong Technion-Israel Institute of Technology, Shantou 515063, China.
Huiyu LiuBiotechnology and Food Engineering Program, Guangdong Technion-Israel Institute of Technology, Shantou 515063, China.ORCID 0009-0000-0908-9935
Kin Sum LeungSchool of Biological Sciences, The University of Hong Kong, Pokfulam, Hong Kong.
Lu ZhangSchool of Biological Sciences, The University of Hong Kong, Pokfulam, Hong Kong.
Jetty Chung-Yung LeeSchool of Biological Sciences, The University of Hong Kong, Pokfulam, Hong Kong.ORCID 0000-0002-8175-7069
Olivier HabimanaBiotechnology and Food Engineering Program, Guangdong Technion-Israel Institute of Technology, Shantou 515063, China.ORCID 0000-0002-6357-4285

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global tea industry generates millions of tons of waste annually, yet the bacteria capable of degrading this recalcitrant biomass remain poorly characterized. This study performed whole-genome sequencing and comparative genomic analysis of six bacterial strains isolated from oolong tea residue fermentation:

Indexed as

carbohydrate-active enzymescomparative genomicscompostinglignocellulose degradationtea waste

Identifiers

PMID42793987
PMCPMC13606711

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.