Evidence map›Paper›PMID 39050626›Full record

ArticleFrontiers in microbiology2024

Soil-derived cellulose-degrading bacteria: screening, identification, the optimization of fermentation conditions, and their whole genome sequencing.

Degao Ma, Haoyu Chen, Duxuan Liu, Chenwei Feng, Yanhong Hua, Tianxiao Gu, Xiao Guo, Yuchen Zhou, Houjun Wang, Guifeng Tong and 2 more

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Environmental and Ecological Monitoring with Biodegradable Technologies.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. A multi-enzyme producingFrontiers in microbiology · 2025
    Article
  13. Analysis of the effects ofFrontiers in bioengineering and biotechnology · 2024
    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

12 authors.

Degao Ma *Yangzhou Environmental Monitoring Center of Jiangsu Province, Yangzhou, China.
Haoyu Chen *College of Plant Protection, Yangzhou University, Yangzhou, China.
Duxuan LiuCollege of Plant Protection, Yangzhou University, Yangzhou, China.
Chenwei FengCollege of Plant Protection, Yangzhou University, Yangzhou, China.
Yanhong HuaCollege of Plant Protection, Yangzhou University, Yangzhou, China.
Tianxiao GuCollege of Plant Protection, Yangzhou University, Yangzhou, China.
Xiao GuoCollege of Plant Protection, Yangzhou University, Yangzhou, China.
Yuchen ZhouDepartment of Pharmacy, Medical School of Yangzhou University, Yangzhou University, Yangzhou, China.
Houjun WangYangzhou Environmental Monitoring Center of Jiangsu Province, Yangzhou, China.
Guifeng TongYangzhou Environmental Monitoring Center of Jiangsu Province, Yangzhou, China.
Hua LiCollege of Engineering, Nanjing Agricultural University, Nanjing, China.
Kun ZhangCollege of Plant Protection, Yangzhou University, Yangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Straw cellulose is an abundant renewable resource in nature. In recent years, the conversion of cellulose from waste straw into biofuel by specific microorganisms' fragmentation has attracted extensive attention. Although many bacteria with the ability to degrade cellulose have been identified, comprehensive bioinformatics analyses of these bacteria remain limited, and research exploring optimal fragmentation conditions is scarce. Our study involved the isolation and screening of bacteria from various locations in Yangzhou using carboxymethyl cellulose (CMC) media. Then, the cellulose-degrading bacteria were identified using 16S rRNA and seven candidate bacterial strains with cellulose degrading ability were identified in Yangzhou city for the first time. The cellulase activity was determined by the 3,5-dinitrosalicylic acid (DNS) method in different fragmentation conditions, and finally two bacteria strains with the strongest cellulose degradation ability were selected for whole genome sequencing analysis. Sequencing results revealed that the genome sizes of

Indexed as

Cellulase activity assayscellulose degradingglycoside hydrolase family genessoil bacterialwhole genome sequencing

Identifiers

PMID39050626
PMCPMC11266136

What OpenQuestion holds

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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.