Spatial and regional directory of tropical Auricularia mushrooms in Southwest, Nigeria
Ekun, V. S.; Adenipekun, C. O.; Ojuederie, O. B.; Etaware, P. M.
Show abstract
Bioremediation of wastelands and dumpsites in Africa is fast declining due to reduced mushroom populations. In the past, the forest of Africa was teaming with mushrooms, but nowadays; mushrooms are severely exploited, resulting in gradual drift to extinction. Mushrooms have the tendency to degrade recalcitrant wastes and absorb heavy metals (Bio-accumulation). Unless concerted efforts are made to rejuvenate or rescue the surviving mushroom population, Africa will one day be overshadowed by wastes. The mushroom diversity in Southwest, Nigeria was determined by both morphological and molecular markers, 14 primers (OPB-11, OPB-12, OPB-15, OPB-20, OPB-21, OPH-3, OPH-5, OPH-10, OPH-15, OPT-1, OPT-5, OPT-7, OPT-10 and OPT-19) produced polymorphism with the test samples under electrophoresis gel (PCR and RAPD). Using standard morphological markers, Auricularia auricula was found to be evenly distributed across 8 locations in Ekiti and Osun, 6 locations in Ogun, 5 locations in Oyo and 4 locations in Lagos. There was none identified in Ondo. Auricularia polytricha was found in abundance in all the locations in Ondo. Lagos only had 3 out of its outline Stations graced with the presence of A. polytricha, whereas, Ogun, Ekiti, Osun and Oyo had no records of A. polytricha. From the genetic dissimilarity chart, 6 clusters of mushroom, sub-characterized into 3 distinct species (Auricularia polytricha, A. auricula and an unrelated Auricularia outlier species) and 5 cultivars were obtained in the region of Southwest, Nigeria. The population of all the Auricularia mushrooms currently present in Southwest, Nigeria was effectively captioned (Location, type and identity) by this research.
Matching journals
The top 1 journal accounts for 50% of the predicted probability mass.
Similar papers in this journal
- Natural field diagnosis and molecular confirmation of fungal and bacterial watermelon pathogens in Bangladesh: A case study from Natore and Sylhet district 97%
- Molecular Identification and Antimicrobial Potential of Endophytic Fungi Against Some Grapevine Pathogens 97%
- First assessment of Iranian pomegranate germplasm using targeted metabolites and morphological traits to develop the core collection and modeling of the current and future spatial distribution under climate change conditions 96%
Similar papers in this journal
- Development of microsatellite markers for the threatened species Coleocephalocereus purpureus (Cactaceae) using next-generation sequencing 94%
- Genome-wide association links candidate genes to fruit firmness, fruit flesh color, flowering time, and soluble solid content in apricot (Prunus armeniaca) 93%
- A Rapid and Low-Cost protocol for the detection of B.1.1.7 lineage of SARS-CoV-2 by using SYBR Green-Based RT-qPCR 92%
Similar papers in this journal
- Climate influences scrub typhus occurrence in Vellore, Tamil Nadu, India: Analysis of a 15 year dataset 95%
- Essential oils of plants and their combinations as an alternative adulticides against Anopheles gambiae (Diptera: Culicidae) populations. 95%
- In vitro screening of anti-viral and virucidal effects against SARS-CoV-2 by Hypericum perforatum and Echinacea. 94%
Similar papers in this journal
- An Issue of Concern: Unique Truncated ORF8 Protein Variants of SARS-CoV-2 94%
- A machine learning approach for identification of gastrointestinal predictors for the risk of COVID-19 related hospitalization 93%
- Reference genes for RT-qPCR normalisation in different tissues, developmental stages and stress conditions of Hypericum perforatum 92%
Similar papers in this journal
- Improving the phylogenetic resolution of Malaysian and Javan mahseer (Cyprinidae), Tor tambroides and Tor tambra: Whole mitogenomes sequencing, phylogeny and potential mitogenome markers 94%
- Systems Biology under heat stress in Indian Cattle 93%
- VEGF and FGF signaling during head regeneration in hydra 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.