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Comparison of RAPDs, AFLPs and SSR markers for the genetic ...

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<strong>the</strong> most efficient <strong>markers</strong> in <strong>the</strong> study. This value may<br />

rise even higher if attempts to optimize this technique<br />

into a single multiple reaction involving all six microsatellites<br />

prove successful.<br />

Ano<strong>the</strong>r important factor to consider when evaluating<br />

marker efficiency is <strong>the</strong> ability to determine relationships<br />

between yeast strains based on an estimation <strong>of</strong><br />

<strong>genetic</strong> similarity (Figs. 4a–c). Genetic similarity coefficients<br />

were obtained (Table 3) <strong>for</strong> all three PCR-derived<br />

techniques,reflecting <strong>the</strong> extreme variability <strong>and</strong> high<br />

resolving power <strong>of</strong> <strong>the</strong>se methods. These same results,<br />

including lower similarity estimates <strong>for</strong> <strong>SSR</strong> analysis<br />

than <strong>for</strong> both <strong>RAPDs</strong> <strong>and</strong> <strong>AFLPs</strong>,have been reported<br />

in equivalent studies per<strong>for</strong>med using o<strong>the</strong>r organisms<br />

(in soybean, Powell et al.,1996; in maize, Pejic et al.,<br />

1998; in Musa, Crouch et al.,1999). These findings<br />

suggest that differences exist between a technique that<br />

amplifies unique sequences,such as microsatellite<br />

analysis,<strong>and</strong> o<strong>the</strong>r methods that amplify multiple<br />

sequences,such as RAPD <strong>and</strong> AFLP techniques.<br />

Poor correlation between estimates <strong>of</strong> <strong>genetic</strong> similarity<br />

based on <strong>the</strong> three different techniques evaluated<br />

in this study indicates that <strong>the</strong>se methods may selectively<br />

screen <strong>for</strong> different regions <strong>of</strong> <strong>the</strong> genome. To fur<strong>the</strong>r<br />

explore this issue,as well as <strong>the</strong> close similarity between<br />

<strong>the</strong> strains assayed,a greater number <strong>of</strong> loci should be<br />

analysed. In an ef<strong>for</strong>t to increase <strong>the</strong> integrity <strong>of</strong> our<br />

analysis,a single dendrogram was constructed that<br />

combines <strong>the</strong> in<strong>for</strong>mation obtained from all three<br />

marker types (Fig. 4d). This <strong>genetic</strong> tree revealed that<br />

only <strong>the</strong> topology <strong>of</strong> some groupings is conserved,with<br />

non-significant groups appearing r<strong>and</strong>om regardless <strong>of</strong><br />

<strong>the</strong> number <strong>of</strong> <strong>markers</strong> studied. Fur<strong>the</strong>r physiological<br />

experimentation is needed in order to determine if <strong>the</strong><br />

conserved groups are correlated with traits <strong>of</strong> interest.<br />

Based on <strong>the</strong> results <strong>of</strong> this study,RAPD <strong>markers</strong><br />

were <strong>the</strong> least polymorphic <strong>markers</strong> <strong>of</strong> those evaluated,<br />

<strong>and</strong> consequently had <strong>the</strong> least resolving power.<br />

Although <strong>the</strong> amount <strong>of</strong> variability detected with<br />

RAPD analysis is dependent upon <strong>the</strong> selection <strong>of</strong><br />

appropriate primers,this method has <strong>the</strong> advantage <strong>of</strong><br />

being inexpensive <strong>and</strong> simple to per<strong>for</strong>m,<strong>and</strong> does not<br />

require a previous knowledge <strong>of</strong> <strong>the</strong> genome. Problems<br />

with reproducibility have plagued <strong>the</strong> use <strong>of</strong> this<br />

technique in <strong>the</strong> past,due to <strong>the</strong> low temperature <strong>of</strong><br />

<strong>the</strong> hybridization <strong>of</strong> <strong>the</strong> primers. However,we were able<br />

to limit <strong>the</strong>se problems in this study,as evidenced by <strong>the</strong><br />

results <strong>of</strong> our duplicate analysis,by careful DNA<br />

preparation,strict adherence to amplification protocols<br />

<strong>and</strong> a rigorous interpretation <strong>of</strong> <strong>the</strong> results.<br />

The AFLP technique resulted in high resolution <strong>and</strong><br />

good reproducibility in this study,a finding substantiated<br />

by <strong>the</strong> recent use <strong>of</strong> AFLP <strong>markers</strong> in <strong>the</strong><br />

identification <strong>and</strong> intraspecific differentiation <strong>of</strong> S.<br />

cerevisiae strains (deBarros Lopes et al.,1999). This<br />

technique,however,is much more technically complex<br />

ARTICLE IN PRESS<br />

F. Javier Gallego et al. / Food Microbiology 22 (2005) 561–568 567<br />

than <strong>the</strong> use <strong>of</strong> <strong>SSR</strong> <strong>markers</strong>,requiring numerous<br />

experimental steps at a higher cost per in<strong>for</strong>mative<br />

marker. Despite <strong>the</strong>se limitations,<strong>the</strong> AFLP technique<br />

has great value as a tool <strong>for</strong> use in <strong>genetic</strong> mapping <strong>and</strong><br />

evolutionary studies,as it can test a large number <strong>of</strong> loci<br />

distributed r<strong>and</strong>omly throughout a genome. Unlike<br />

microsatellites,AFLP <strong>markers</strong> are not highly variable,<br />

providing a less biased estimate <strong>of</strong> population variability.<br />

<strong>SSR</strong> analysis revealed <strong>the</strong> highest <strong>genetic</strong> variability in<br />

<strong>the</strong> microbial population studied,also achieving <strong>the</strong><br />

greatest discriminatory power. It also proved to be <strong>the</strong><br />

most efficient method,with <strong>the</strong> highest number <strong>of</strong><br />

effective alleles per assay. We also found <strong>the</strong> results <strong>of</strong><br />

<strong>SSR</strong> to be faster <strong>and</strong> easier to interpret than <strong>the</strong> o<strong>the</strong>r<br />

techniques studied,making it an ideal technique <strong>for</strong> use<br />

in <strong>the</strong> characterization <strong>and</strong> identification <strong>of</strong> S. cerevisiae<br />

strains. Successful <strong>SSR</strong> analysis,however,depends on<br />

<strong>the</strong> proper design <strong>and</strong> syn<strong>the</strong>sis <strong>of</strong> primers,requiring a<br />

considerable amount <strong>of</strong> ef<strong>for</strong>t in <strong>the</strong> selection <strong>of</strong><br />

polymorphic microsatellites that af<strong>for</strong>d specific amplifications.<br />

Our study benefited from an available panel <strong>of</strong><br />

six microsatellite loci <strong>and</strong> <strong>the</strong> appropriate primers<br />

needed <strong>for</strong> its specific amplification (Pe´ rez et al.,2001).<br />

In summary,<strong>SSR</strong> amplifications is a simple <strong>and</strong><br />

effective method,with a high degree <strong>of</strong> discrimination<br />

<strong>and</strong> reproducibility,that can be used in <strong>the</strong> identification<br />

<strong>and</strong> intraspecific differentiation <strong>of</strong> S. cerevisiae strains,a<br />

species <strong>of</strong> great importance in industrial fermentations.<br />

Acknowledgments<br />

This research was supported by grants SC94-126 from<br />

<strong>the</strong> Programa Sectorial I+D Agrario y Alimentario <strong>and</strong><br />

RM00-001 from <strong>the</strong> Accio´ n Estratégica ‘‘Conservacio´ n<br />

de los recursos gene´ ticos de interés agroalimentario’’ del<br />

Plan Nacional de Investigacio´ n Cientı´ fica,Desarrollo e<br />

Innovacio´ n Tecnolo´ gica (I+D+I) from <strong>the</strong> Instituto<br />

Nacional de Investigacio´ n y Tecnologı´ a Agraria y<br />

Alimentaria (INIA) (Spain).<br />

References<br />

Cenı´ s,J.L.,Sánchez Escribano,E.M.,1999. Evaluación de cuatro<br />

te´ cnicas genéticas de identificación (isoenzimas,<strong>RAPDs</strong>,microsate´<br />

lites y <strong>AFLPs</strong>) en variedades de uva de mesa. In: Identificación<br />

molecular de germoplasma de vid. Jornadas de Agronomía. IMIA,<br />

Comunidad de Madrid,pp. 129–144.<br />

Crouch,J.H.,Crouch,H.K.,Const<strong>and</strong>i,H.,Van Gysel,A.,Breyne,P.,<br />

Van Montagu,M.,Jarret,R.L.,Ortiz,R.,1999. <strong>Comparison</strong> <strong>of</strong><br />

PCR-based molecular marker analyses <strong>of</strong> Musa breeding populations.<br />

Mol. Breed. 5,233–244.<br />

deBarros Lopes,M.,Soden,A.,Henschke,P.A.,Langridge,P.,1996.<br />

PCR differentiation <strong>of</strong> commercial yeast strains using intro splice<br />

site primers. Appl. Environ. Microbiol. 62,4514–4520.

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