Evidence map›Paper›PMID 28002436›Full record

ArticlePloS one2016

Biodiversity of Trichoderma Community in the Tidal Flats and Wetland of Southeastern China.

Kandasamy Saravanakumar, Chuanjin Yu, Kai Dou, Meng Wang, Yaqian Li, Jie Chen

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
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  4. Impact of mineral fertilization andFrontiers in microbiology · 2025
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  5. ExploringLife (Basel, Switzerland) · 2024
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  6. Article
  7. Diversity ofFrontiers in microbiology · 2024
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  8. Biological management of coffee wilt disease (Frontiers in plant science · 2023
    Article
  9. Article
  10. Isolation of Polysaccharides fromAntioxidants (Basel, Switzerland) · 2021
    Article
  11. Biodiversity of3 Biotech · 2020
    Article
  12. Article
  13. Article
  14. Trichoderma biodiversity in major ecological systems of China.Journal of microbiology (Seoul, Korea) · 2019
    Article
  15. 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

6 authors.

Kandasamy SaravanakumarSchool of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, P.R. China.
Chuanjin YuSchool of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, P.R. China.
Kai DouSchool of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, P.R. China.
Meng WangSchool of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, P.R. China.
Yaqian LiSchool of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, P.R. China.
Jie ChenSchool of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate the biodiversity of Trichoderma (Hypocreaceae) and their relation to sediment physical and chemical properties, we collected a total of 491 sediment samples from coastal wetlands (tidal flat and wetland) in Southeast China. Further, we applied two types of molecular approaches such as culture dependent and independent methods for identification of Trichoderma spp. A total of 254 isolates were obtained and identified to 13 species such as T. aureoviride, T. asperellum, T. harzianum, T. atroviride, T. koningiopsis, T. longibrachiatum, T. koningii. T. tawa, T. viridescens, T. virens, T. hamatum, T. viride, and T. velutinum by the culture-dependent (CD) method of these, T. tawa was newly described in China. Subsequently, the culture indepented method of 454 pyrosequencing analysis revealed a total of six species such as T. citrinoviride, T. virens, T. polysporum, T. harzianum/Hypocrea lixii and two unknown species. Notably, T. citrinoviride and T. polysporum were not found by the CD method. Therefore, this work revealed that the combination of these two methods could show the higher biodiversity of Trichoderma spp., than either of this method alone. Among the sampling sites, Hangzhou, Zhejiang Province, exhibited rich biodiversity and low in Fengxian. Correlation and Redundancy discriminant analysis (RDA) revealed that sediment properties of temperature, redox potential (Eh) and pH significantly influenced the biodiversity of Trichoderma spp.

Indexed as

BiodiversitySoil MicrobiologyWetlandsChinaDiscriminant AnalysisDNA, FungalGeologic SedimentsPhylogenySeasonsSequence Analysis, DNATrichodermaDNA, Fungal

Identifiers

PMID28002436
PMCPMC5176281

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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.