Document Detail


Soil Clone Library Analyses to Evaluate Specificity and Selectivity of PCR Primers Targeting Fungal 18S rDNA for Denaturing-Gradient Gel Electrophoresis (DGGE).
MedLine Citation:
PMID:  21576883     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
We evaluated the fungal specificity and detection bias of four fungal 18S rRNA gene (18S rDNA) primer sets for denaturing-gradient gel electrophoresis (DGGE). We constructed and compared clone libraries amplified from upland and paddy field soils with each primer set (1, NS1/GCFung; 2, FF390/FR1-GC; 3, NS1/FR1-GC; and 4, NS1/EF3 for the first PCR and NS1/FR1-GC for the second PCR). Primer set 4 (for nested PCR) showed the highest specificity for fungi but biased specific sequences. Sets 1, 2, and 3 (for single PCR) amplified non-fungal eukaryotic sequences (from 7 to 16% for upland soil and from 20 to 31% for paddy field soil) and produced libraries with similar distributions of fungal 18S rDNA sequences at both the phylum and the class level. Set 2 tended to amplify more diverse fungal sequences, maintaining higher specificity for fungi. In addition, clone analyses revealed differences among primer sets in the frequency of chimeras. In upland field soil, the libraries amplified with primer sets 3 and 4, which targeted long fragments, contained many chimeric 18S rDNA sequences (18% and 48%, respectively), while the libraries obtained with sets 1 and 2, which targeted short fragments, contained fewer chimeras (5% and 10%, respectively).
Authors:
Yuko Takada Hoshino; Sho Morimoto
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Microbes and environments / JSME     Volume:  25     ISSN:  1347-4405     ISO Abbreviation:  Microbes Environ.     Publication Date:  2010  
Date Detail:
Created Date:  2011-05-17     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9710937     Medline TA:  Microbes Environ     Country:  Japan    
Other Details:
Languages:  eng     Pagination:  281-7     Citation Subset:  IM    
Affiliation:
National Institute for Agro-Environmental Sciences.
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