Amjad Ali¹, Yasir Iftikhar^2,*, Mustansar Mubeen², Haider Ali³, Muhammad Ahmad Zeshan², Zohaib Asad⁴, Muhammad Zafar-ul-Hye⁵, Malik Abdul Rehman⁶, Mazhar Abbas⁷, Muhammad Rafique⁸, Muhammad Usman Ghani⁹

Phyton-International Journal of Experimental Botany, Vol.91, No.9, pp. 1859-1877, 2022, DOI:10.32604/phyton.2022.021734 - 13 May 2022

Abstract

Since the 19^th century to date, the fungal pathogens have been involved in causing devastating diseases in plants. All types of fungal pathogens have been observed in important agricultural crops that lead to significant pre and postharvest losses. The application of synthetic fungicide against the fungal plant pathogens (FPP) is a traditional management practice but at the same time these fungicides kill other beneficial microbes, insects, animal, and humans and are harmful to environment. The antagonistic microorganism such as bacteria are being used as an alternate strategy to control the FPP. These antagonistic species are cost-effective

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Miguel-Angel Sicilia^1,*, Elena García-Barriocanal¹, Marçal Mora-Cantallops¹, Salvador Sánchez-Alonso¹, Lino González²

CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 1661-1672, 2021, DOI:10.32604/cmc.2021.015874 - 13 April 2021

Abstract Existing studies have challenged the current definition of named bacterial species, especially in the case of highly recombinogenic bacteria. This has led to considering the use of computational procedures to examine potential bacterial clusters that are not identified by species naming. This paper describes the use of sequence data obtained from MLST databases as input for a k-means algorithm extended to deal with housekeeping gene sequences as a metric of similarity for the clustering process. An implementation of the k-means algorithm has been developed based on an existing source code implementation, and it has been More >