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Detection and Expression of Biosynthetic Genes in Actinobacteria ...

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BERVANAKIS, G.Chapter 4: DISCUSSIONpresence <strong>of</strong> two SMBG (Table 48). This may <strong>in</strong>dicate that the isolate(s) have thepotential to produce more than one type <strong>of</strong> secondary metabolite or that it conta<strong>in</strong>s acomponent <strong>of</strong> other biosynthetic pathways (Stockmann & Piepersberg, 1992). Ofparticular <strong>in</strong>terest are isolates A2010, A1113, A2707, A0350 <strong>and</strong> A2056 whichconta<strong>in</strong> both polyketide <strong>and</strong> deoxysugar genes. Such a pr<strong>of</strong>ile is <strong>in</strong>dicative <strong>of</strong> thegenetic composition <strong>of</strong> a number <strong>of</strong> bioactive microbial metabolites, particularlymacrolides <strong>and</strong> anthracycl<strong>in</strong>es (Staunton & Wilk<strong>in</strong>son, 1999; Richardson & Khosla,1999).PCR screen<strong>in</strong>g <strong>of</strong> the Cerylid isolates showed that ten <strong>of</strong> the eleven isolates classifiedas Streptomycete stra<strong>in</strong>s were positive for conta<strong>in</strong><strong>in</strong>g secondary metabolitebiosynthetic genes. Whereas only 6 <strong>of</strong> the 11 non-Streptomyces isolates testedpositive for secondary metabolite biosynthetic genes.The PCR screens applied to the act<strong>in</strong>obacterial culture collection provided by CerylidBiosciences (Melbourne, Australia), were benefical <strong>in</strong> identify<strong>in</strong>g environmentalisolates harbor<strong>in</strong>g putative SMBG. Thus provid<strong>in</strong>g a useful selection criterion <strong>in</strong>concentrat<strong>in</strong>g fermentative efforts on those isolates shown to possess the geneticmach<strong>in</strong>ery necessary for the synthesis <strong>of</strong> certa<strong>in</strong> classes <strong>of</strong> secondary metabolites.This is a major advantage <strong>in</strong> screen<strong>in</strong>g microbial sources for secondary metabolites,as identify<strong>in</strong>g the biosynthetic capabilities <strong>of</strong> the isolate prior to the commencement<strong>of</strong> fermentation studies, <strong>of</strong>fers clues to elucidat<strong>in</strong>g production media which can betailored for the identified class <strong>of</strong> compounds. Empirical approaches have beencont<strong>in</strong>ually used for the determ<strong>in</strong>ation <strong>of</strong> suitable fermentative media <strong>and</strong> select<strong>in</strong>gthe most appropriate media where chemical metabolites are expressed (Bu’Lock etal., 1982; Zahn et al., 2001). Due to the decl<strong>in</strong><strong>in</strong>g rate at which novel secondarymetabolites are be<strong>in</strong>g discovered us<strong>in</strong>g empirical screen<strong>in</strong>g (Strohl, 1997), moredirected approaches have evolved such as PCR based screens which discrim<strong>in</strong>ateproductive cultures from redundant ones. Degenerate PCR has been a powerfulapproach <strong>in</strong> detect<strong>in</strong>g divergent SMBG <strong>in</strong> cultured <strong>and</strong> uncultured microorganisms(Seow et al., 1997), however based on the SMBG sequences retrieved from theenvironmental isolates us<strong>in</strong>g the KSM/ATM degenerate primer set highly similargenes could only be detected. Thus, <strong>in</strong> order to detect novel SMBG this primer setmay not be appropriate, or may need to be modified or used <strong>in</strong> variations <strong>of</strong> the_____________________________________________________________________120

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