Molecular phylogeny of plant pathogenic fungi based on start codon targeted (SCoT) polymorphism


Palacioglu G., Alkan M., DERVİŞ S., BAYRAKTAR H., oezer G.

MOLECULAR BIOLOGY REPORTS, cilt.50, sa.10, ss.8271-8279, 2023 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 50 Sayı: 10
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1007/s11033-023-08735-4
  • Dergi Adı: MOLECULAR BIOLOGY REPORTS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Aquatic Science & Fisheries Abstracts (ASFA), BIOSIS, CAB Abstracts, Chemical Abstracts Core, Veterinary Science Database
  • Sayfa Sayıları: ss.8271-8279
  • Anahtar Kelimeler: Genetic diversity, Fungi, Molecular marker, Plant pathogen, SCoT analysis, GENETIC DIVERSITY, L., ACCESSIONS, MARKERS
  • Ankara Üniversitesi Adresli: Evet

Özet

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.