ArticleMolecular biology reports2023
Molecular phylogeny of plant pathogenic fungi based on start codon targeted (SCoT) polymorphism.
Article in Molecular biology reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- The Combination of Start-Codon-Targeted (SCoT) andInternational journal of molecular sciences · 2025Article
- Unveiling Genetic Diversity Among Bacterial Isolates Using SCoT Markers.Current microbiology · 2024Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundA number of molecular marker systems have been developed to assess genetic diversity, carry out phylogenetic analysis, and diagnose and discriminate plant pathogenic fungi. The start codon targeted (SCoT) markers system is a novel approach used here to investigate intra and interspecific polymorphisms of phytopathogenic fungi. MATERIALS AND
methodsThis study assessed genetic variability between and within 96 isolates of ten fungal species associated with a variety of plant species using 36 SCoT primers.
resultsThe six primers generated 331 distinct and reproducible banding patterns, of which 322 were polymorphic (97.28%), resulting in 53.67 polymorphic bands per primer. All primers produced informative amplification profiles that distinguished all fungal species. With a resolving power of 10.65, SCoT primer 12 showed the highest polymorphism among species, followed by primer 33 and primer 29. Polymorphic loci (PPL), Nei's diversity index (h), and Shannon index (I) percentages were 6.25, 0.018, and 0.028, respectively. UPGMA analysis separated all isolates based on morphological classification and revealed significant genetic variation among fungal isolates at the intraspecific level. PCoA analysis strongly supported fungal species discrimination and genetic variation. The other parameters of evaluation proved that SCoT markers are at least as effective as other DNA markers.
conclusionsSCoT markers were effective in identifying plant pathogenic fungi and were a powerful tool for estimating genetic variation and population structure of different fungi species.
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