Pregled bibliografske jedinice broj: 598944
Single-Strand Conformation Polymorphism Analysis for Differentiating Phytoplasma Strains
Single-Strand Conformation Polymorphism Analysis for Differentiating Phytoplasma Strains // Phytoplasma: Methods and Protocols / Dickinson, Matt ; Hodgetts, Jennifer (ur.).
London : Delhi: Humana Press ; Springer, 2013. str. 217-222
CROSBI ID: 598944 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Single-Strand Conformation Polymorphism Analysis for Differentiating Phytoplasma Strains
Autori
Šeruga Musić, Martina ; Škorić, Dijana
Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni
Knjiga
Phytoplasma: Methods and Protocols
Urednik/ci
Dickinson, Matt ; Hodgetts, Jennifer
Izdavač
Humana Press ; Springer
Grad
London : Delhi
Godina
2013
Raspon stranica
217-222
ISBN
978-1-62703-088-5
Ključne riječi
methods, microbiology, phytoplasma, sscp, variability
Sažetak
Single-strand conformation polymorphism (SSCP) analysis is a sensitive and rapid technique for detecting DNA polymorphism and mutations in PCR amplified fragments. Due to its technical simplicity, it is widely used as a screening tool in various investigations, ranging from clinical diagnosis of human hereditary diseases to the characterization of microbial communities. It was shown that this method can also be successfully used as a tool for detection of molecular variability in phytoplasma evolutionary conserved house-keeping genes such as 16S rRNA and tuf as well as more variable genes, revealing the presence of polymorphism undetected by routine RFLP analyses. Reliability of SSCP was confirmed by the multiple alignments and phylogenetic analyses of representative sequences showing different SSCP profiles. However, it is not yet broadly applied in phytoplasma research. This technique offers inexpensive, convenient and sensitive method for determining sequence variation and differentiation of phytoplasma strains which can particularly be suitable in epidemiological studies or as a fast screening typing tool when dealing with a large number of field samples.
Izvorni jezik
Engleski
Znanstvena područja
Biologija
POVEZANOST RADA
Projekti:
119-1191192-1222 - Molekularna varijabilnost biljnih patogena (Krajačić, Mladen, MZOS ) ( CroRIS)
Ustanove:
Prirodoslovno-matematički fakultet, Zagreb