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A productive approach towards molecular analysis of black mold rot disease in mango using different bioinformatics tools

Research Paper | May 1, 2021

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Hafizah Bushra Akram, Amer Jamil, Abdul Jabbar, Sidra Bari, Birha Naeem, Zunaira Noor, Sara Siddique

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Int. J. Biosci.18( 5), 134-145, May 2021

DOI: http://dx.doi.org/10.12692/ijb/18.5.134-145


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Many pathogens especially fungi associated with the spoilage of fruits due to several factors such as pH, temperature, atmosphere, humidity and postharvest factors. These pathogens destroy the fruits or damage the quality level of fruits by causing different diseases. In Pakistan, mango production reaction to agricultural GDP is positive but the loss in fruit’s quality also lowers the GDP of the country. Aspergillus niger has been originated as an opportunistic cause of human infection and fruit crop diseases. There are multiple molecular and other indirect methods to help identify these pathogenic fruit diseases. Aspergillus niger causes a damaging disease in mango that is Black mold rot. Total fifteen diseased mango samples were collected from different cities of Punjab; Faisalabad, Multan and Lahore. Potato dextrose agar and Sabouraud liquid media were used for fungal culture. Genomic DNA was isolated through cultured media from all the samples, purified and subjected to agarose gel electrophoresis to test the integrity of DNA. The basis of specificity by PCR performed by using universal primers to identify fungi and 18S-rRNA primers were designed by using different bioinformatic tools. The amplified products were sequenced, identified, phylogenetic analysis and gene characterized by in-silico analysis. Scanning electron microscopy was performed that ideally suited for observation of intact sporing structure over a wide range of magnification, duplicating and supplementing information of Aspergillus niger. Molecular parameters were used to study the Aspergillus niger that causing black mold rot which is a disastrous disease of mango.


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A productive approach towards molecular analysis of black mold rot disease in mango using different bioinformatics tools

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