Evidence map›Paper›PMID 25815332›Full record

ArticleBioMed research international2015

Genetic and metabolic intraspecific biodiversity of Ganoderma lucidum.

Anna Pawlik, Grzegorz Janusz, Iwona Dębska, Marek Siwulski, Magdalena Frąc, Jerzy Rogalski

Abstract read
In one paragraph

Article in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
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  3. 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.

Anna PawlikDepartment of Biochemistry, Maria Curie-Skłodowska University, Akademicka 19, 20-033 Lublin, Poland.
Grzegorz JanuszDepartment of Biochemistry, Maria Curie-Skłodowska University, Akademicka 19, 20-033 Lublin, Poland.
Iwona DębskaDepartment of Biochemistry, Maria Curie-Skłodowska University, Akademicka 19, 20-033 Lublin, Poland.
Marek SiwulskiDepartment of Vegetable Crops, Poznań University of Life Sciences, Dąbrowskiego 159, 60-594 Poznań, Poland.
Magdalena FrącDepartment of Plant and Soil System, Laboratory of Molecular and Environmental Microbiology, Institute of Agrophysics PAS, Doświadczalna 4, 20-290 Lublin, Poland.
Jerzy RogalskiDepartment of Biochemistry, Maria Curie-Skłodowska University, Akademicka 19, 20-033 Lublin, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fourteen Ganoderma lucidum strains from different geographic regions were identified using ITS region sequencing. Based on the sequences obtained, the genomic relationship between the analyzed strains was determined. All G. lucidum strains were also genetically characterized using the AFLP technique. G. lucidum strains included in the analysis displayed an AFLP profile similarity level in the range from 9.6 to 33.9%. Biolog FF MicroPlates were applied to obtain data on utilization of 95 carbon sources and mitochondrial activity. The analysis allowed comparison of functional diversity of the fungal strains. The substrate utilization profiles for the isolates tested revealed a broad variability within the analyzed G. lucidum species and proved to be a good profiling technology for studying the diversity in fungi. Significant differences have been demonstrated in substrate richness values. Interestingly, the analysis of growth and biomass production also differentiated the strains based on the growth rate on the agar and sawdust substrate. In general, the mycelial growth on the sawdust substrate was more balanced and the fastest fungal growth was observed for GRE3 and FCL192.

Indexed as

BiodiversityAmplified Fragment Length Polymorphism AnalysisBiomassMitochondriaMyceliumReishi

Identifiers

PMID25815332
PMCPMC4359883

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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.