| Title |
Molecular identification of some wild Nigerian mushrooms using internal transcribed spacer: polymerase chain reaction
|
|---|---|
| Published in |
AMB Express, September 2018
|
| DOI | 10.1186/s13568-018-0661-9 |
| Pubmed ID | |
| Authors |
Mobolaji Adeniyi, Yinka Titilawo, Anthonia Oluduro, Olu Odeyemi, Motebang Nakin, Anthony Ifeanyi Okoh |
| Abstract |
Identification of fungal species based on morphological characteristics is tedious, complex, prone to errors, and thus cannot be completely relied upon. In this study, internal transcribed spacers (ITS 1 and 4)-polymerase chain reaction was employed to amplify DNA of 19 mushroom isolates collected at Environmental Pollution Science and Technology farm, Ilesa, Southwest Nigeria. The PCR amplification of ITS1 and 4 of the mushrooms isolates yielded approximately 850 bp. Amplicons obtained were sequenced and identified using BLASTn in the NCBI. The BLASTn results revealed that Termitomyces aurantiacus (3), Tricholoma matsutake (8), Tricholoma robustum (2), P. ostreatus (4), Schizophyllum commune (1) and Pleurotus pulmonarius (1) were fully represented. Only Tricholoma matsutake (KT273371), Pleurotus pulmonarius (KY962469) and Tricholoma matsutake (AF438605) had 100% similarity with reference strain. However, the phylogenetic analysis of the isolates showed low genetic relatedness with reference strains. This study revealed the novelty of the mushroom strains and thus advocating the need for strict conservation measures and further investigations on their potential benefits to mankind. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 50 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 10% |
| Lecturer | 5 | 10% |
| Student > Bachelor | 5 | 10% |
| Student > Master | 4 | 8% |
| Student > Doctoral Student | 3 | 6% |
| Other | 6 | 12% |
| Unknown | 22 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 20% |
| Biochemistry, Genetics and Molecular Biology | 6 | 12% |
| Immunology and Microbiology | 3 | 6% |
| Social Sciences | 2 | 4% |
| Environmental Science | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 26 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 September 2018.
All research outputs
#20,533,782
of 23,103,903 outputs
Outputs from AMB Express
#975
of 1,245 outputs
Outputs of similar age
#297,665
of 342,063 outputs
Outputs of similar age from AMB Express
#31
of 57 outputs
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