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10<br />

Ajit Varma et al.<br />

mative, quantitative data of in vitro microbial ecology from them at spatial<br />

scales relevant to the microbes themselves. New computer-assisted imaging<br />

technology has been successfully applied to the fascinating field of <strong>plant</strong> <strong>surface</strong><br />

<strong>microbiology</strong> (Chap. 27). CMEIAS software can “count what really<br />

counts” to enhance the quantitative analysis of microbial communities and<br />

populations in situ without cultivation.<br />

Knowledge of genetic diversity in the bacterial population has increased<br />

considerably over the last 15 years, due to the application of molecular techniques<br />

to microbial ecological studies. Among the molecular methods, the<br />

PCR-based techniques provide a powerful and high throughput approach for<br />

the study of genetic diversity in bacterial populations. Some of the most commons<br />

are the PCR-RFLP of specific sequences (16S rDNA, intergenic transcribed<br />

spacer, ITS), the repetitive extragenic palindromic-PCR and the BOX-<br />

PCR based on the presence of repetitive elements within the bacterial<br />

genome, the DNA amplification fingerprintings, RAPDs (random amplified<br />

polymorphic DNA, and AFLPs (amplified fragment length polymorphism).<br />

ITS, RAPD and AFLP have been shown to be particularly relevant for the<br />

study of genetic diversity within populations of bacteria belonging to the<br />

same or closely related species (Chap. 28). AFLP shows some advantages over<br />

the other methods due to high stringency PCR conditions which give reproducibility<br />

and easy application to <strong>plant</strong>, animal and bacterial genomic DNA.<br />

AFLP has a high informational content per single reaction, in fact, up to 100<br />

different bands can be displayed in a single lane and the scoring can be done<br />

with an automatic sequencer.<br />

While there is a considerable amount of knowledge based on the ecology<br />

and physiology of mycorrhizal fungi and their uses, the knowledge about cellular<br />

and molecular aspects leading to the growth and development of the<br />

mycorrhizal fungus, as well as the establishment of a functioning symbiosis is<br />

still limited. An appropriate approach to the study of these special fungi is to<br />

understand the molecular process leading to the host recognition, development<br />

and functioning of mycorrhiza through the analysis of expressed<br />

sequences.With the advent of many highly sophisticated techniques that have<br />

been successfully applied to the functional analysis of genes from many<br />

organisms, it is now possible to apply similar strategies to study the various<br />

aspects of the mycorrhizal symbiosis (Chap. 29). The protocol describes<br />

expressed sequence tags (EST) and macroarray techniques. These approaches<br />

provide efficient tools for mycorrhizal symbiosis research. They have the resolution<br />

and ability to obtain a more comprehensive view of various stages of<br />

mycorrhiza development or treatment effects due to nutritional changes or<br />

differences due to host responses. Data can be exchanged and compared<br />

between different laboratories and eventually will provide a platform to<br />

understand the key players (genes) that are markers for ectomycorrhizal and<br />

AM fungal symbiosis. A large number of media compositions are available in<br />

the literature for the cultivation of various groups of fungi, but almost no lit-

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