A Comparative Analysis Of Distribution And Conservation Of Microsatellites To Identify Unique Motifs In Sequenced Candida Species And Development Of SpeciesSpecific Markers

Abstract

newline With the rise in patients who are immunocompromised, aged, taking antibiotics and harsh cancer chemotherapy, or having invasive surgery and organ transplantation, candidiasis has become an alarming opportunistic disease. The most prevalent and dangerous pathogenic species of the genus Candida are thought to be Candida albicans, Candida parapsilosis, Candida dubliniensis, and Candida glabrata in India. Some of the causes of the rise in morbidity and mortality rates include the traditional method-induced delay in the speciation of Candida isolates and the resistance of different Candida species to antifungal medications. Therefore, it is crucial to quickly identify and detect Candida isolates for the effective care of individuals with candidiasis. newlineComparative genomics has become known as a potent technique for understanding biological processes through sequence comparison and comparative regulation as a result of the open flow of sequencing data. It aids in our comprehension of the genetic underpinnings of creature diversity and evolution. Additionally, it offers insight into how pathogens grow, how living things adapt to stressful situations, how to find new therapeutic targets, and how to create diagnostic markers. Because microsatellites have significant mutation rates that result in allelic diversity in array length, they provide a rich source of hypervariable co-dominant markers. These markers have a reputation for being widely dispersed, highly polymorphic, locus-specific, portable, and reasonably priced molecular markers. Due to their excellent accuracy, they are crucial instruments for comparison mapping. In the present study an in silico approach was used to compare the frequency and distribution of microsatellites or simple sequence repeats (SSRs) in the sequenced genomes of six Candida species (Candida albicans, C. parapsilosis, C. dubliniensis, C. glabrata, C.paropsilosis, C.tropicalis and Candida krusei). After retrieving all the SSRs, sharing of SSR motifs was analyzed and also unique SS