Record ID No. |
1809 |
Author(s) |
Liang, Z.B., Drijber*, R.A., Lee, D.J., Dwiekat, I.M., Harris, S.D., Wedin, D.A , 2008 |
Affiliation |
University of Nebraska, Department of Agronomy & Horticulture, 279 Plant Sci, Lincoln,NE 68583 USA, email: rdrijber1@unl.edu |
Title |
A DGGE-cloning method to characterize arbuscular mycorrhizal community structure in soil |
Source. Vol.(no):Page |
Soil Biology & Biochemistry. 40(4):956-966 p. |
Categories |
Arbuscular Mycorrhiza |
Subjects |
Genetics |
Sub-subjects |
Genetic Diversity |
Host |
Fungi |
Organism |
Arbuscular Mycorrhiza (AM) |
Country |
USA, N. America |
Abstracts |
Although arbuscular mycorrhizal fungi (AMF) are crucial for ecosystem
functioning, characterizing AMF community structure in soil is challenging. In this study, nested
polymerase chain reaction (PCR) and denaturing gradient gel electrophoresis (DGGE) were combined with cloning of fungal 18S ribosomal gene fragments for the rapid comparison of AM F community
structure in soil. Reference AMF isolates, representing four major genera of AMF, were used to develop the method. Sequential amplification of 18S rDNA fragments by nested PCR using primer
pairs AMI-NS31 and Glo1-NS31GC followed by DGGE analysis yielded a high-resolution band profile. In parallel, 18S rDNA fragment clone libraries were constructed and clones screened by DGGE.
Sequence identity was inferred by matching the electrophoretic mobility of the sample fingerprint bands to that of bands from individual clones. The effectiveness of this approach was tested on soil samples from different ecosystems, yielding reproducible, complex DGGE band patterns specific to each site. The coupling of PCR-DGGE with clone library analysis provides a robust, reliable, and precise means to characterize AM F community structure in soils.
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