Universal Journal of Agricultural Research Vol. 11(4), pp. 691 - 704
DOI: 10.13189/ujar.2023.110403
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Decoding the Repeat Landscape: Genomic Analysis of Phytopathogenic Fusarium Species

Mohammad Alhawatema ^*
Department of Applied Biological Science, Faculty of Science, Tafila Technical University, Jordan

ABSTRACT

This study analyzes the genomes of ten Fusarium species using RepeatMasker software to identify complete Simple Sequence Repeats (SSRs) and interspersed repeats. Genome size and GC content among the ten species were clearly varied based on the comparative analysis of genomic features. The different levels of repetitive DNA among the species are partly responsible for the variations in genome size and the frequency of other genomic elements, such as retrotransposons and transposons, also differs dramatically among the species. The high frequency of simple repeats occurs often in F. aywerte and F. falciforme, indicating that their genomes are relatively unstable and susceptible to mutations and genetic variation. The findings show that there are more tri- and tetra-repeats than mono- and di-repeats, and that the number of repeats tends to rise with the size of the repeat unit. The tri-repeat is the most common repeat type, followed by hexa-repeats and penta-repeats. It is crucial to look at repeat number variation at both the species and repeat type levels because the number of repeats might vary greatly within a single species. The findings also show that some species clearly favor particular repeat forms. The understanding of the genetic variety and evolution of Fusarium species, as well as the making of successful management methods, are significantly impacted by these results. The presence of repeat type preferences may indicate to the potential functions that these repeats in the genome may play. The future research will be focused on these Fusarium species for controlling repeat expansion and contraction regarding of the variations in repeat numbers within each species. This study analysis sheds light on the relative density of SSRs in various Fusarium species.

KEYWORDS
Fusarium, RepeatMasker, Simple Sequence Repeats (SSRs), Repeat Type, Genetic Diversity

Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Mohammad Alhawatema , "Decoding the Repeat Landscape: Genomic Analysis of Phytopathogenic Fusarium Species," Universal Journal of Agricultural Research, Vol. 11, No. 4, pp. 691 - 704, 2023. DOI: 10.13189/ujar.2023.110403.

(b). APA Format:
Mohammad Alhawatema (2023). Decoding the Repeat Landscape: Genomic Analysis of Phytopathogenic Fusarium Species. Universal Journal of Agricultural Research, 11(4), 691 - 704. DOI: 10.13189/ujar.2023.110403.