Абстрактный

Molecular characterization of six tannase-producers Aspergillus strains using PCR-RFLP of ITS and IGS regions and RAPD�?�?�?�?�?�?�?´s

V.Padilla-Garc�?�?�?�?�?�?�?­a, F.Castillo-Reyes, C.N.Aguilar-Gonz�?�?�?�?�?�?�?¡lez, A.Cuenca-Arana, A.T�?�?�?�?�?�?�?©llez-Jurado,M.H.Reyes-Valdez, R.Rodr�?�?�?�?�?�?�?­guez-Herrera


This study aimed to: determine the genetic differences among six tannaseproducing fungal strains using three molecular techniques (RAPDÂ’s, IGS and ITS), establishing genetic relationships at the molecular level among the tested fungal strains of Aspergillus genus and compare the efficiency of molecular markers (ITS, IGS and RAPDÂ’s) to establish genetic relationships among fungal strains under study. Fungal species were isolated fromplant tissue samples collected near Saltillo CoahuilaMexico, fungal strains were isolated from tissue plants such as Pinuscembroides and Larreatridentata (Aspergillusniger PSH and GH1 respectively) and soil near semidesert plants Larreatridentata (Aspergillusfumigatus GS), Quercussp (Aspergillusornatus ESH), Pinuscembroides (Aspergillusterricola PSS) and as control was used Aspergillusniger (AA20) isolated fromCoffeaarabica in the State ofVeracruz.Visualization of amplified products was done using agarose gel (1.5%) electrophoresis, using ITS4, ITS5, IGSR IGSF primers it was possible to amplify by PCR fragments with size from600 to 800 bp, revealed amplification of the 18 S rDNA. The results showed that it is possible to identify highly related fungal strains using PCR-RFLPs of IST and IGS regions. These results suggest that the nucleotide sequence of the ITS and IGS fragments is different.


Отказ от ответственности: Этот реферат был переведен с помощью инструментов искусственного интеллекта и еще не прошел проверку или верификацию

Индексировано в

  • КАСС
  • Google Scholar
  • Открыть J-ворота
  • Национальная инфраструктура знаний Китая (CNKI)
  • CiteFactor
  • Космос ЕСЛИ
  • Каталог индексирования исследовательских журналов (DRJI)
  • Секретные лаборатории поисковых систем
  • Импакт-фактор научной статьи (SAJI))
  • ICMJE

Посмотреть больше

Индекс Хирша журнала

Flyer