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9. PHYLOGENETIC RELATIONSHIPS...<br />

was eluted from the gel, re-amplified and PCR products were digested. In total six restriction<br />

enzymes were used, AluI, BamHI, EcoRI, HindIII, RsaI and TaqI. In a case of multiple bands<br />

the polymorphism was assessed with respect to amplification products.<br />

The utility of B-SAP for phylogenetic studies was checked using primers derived from<br />

M. tuberculosis gene encoding catalase-peroxidase, KatG and composing of 4 801 bp.<br />

Twelve pairs of katG primers were designed for every 280 bp fragments according to Zielinski<br />

and Polok (2005). The strategy of primer designing and PCR conditions are described in<br />

Annex 13.13.<br />

The consensus tree was based on 2894 markers including RAPD, ISJ, AFLP, SSAP,<br />

SSR markers in addition to B-SAP markers derived from KatG gene, IS6110, rpo and pol<br />

from M. tuberculosis, markers derived from low-copy sequences of Lolium (LOLPISO5A,<br />

LOLPISO1A, LOLOPIB, LTLHAB, ASNL, Trx, Gln2), H. vulgare (ASN, AS1, HS1, BCD450)<br />

and A. sativa (CDO504, CDO1508).<br />

The similarity was estimated on the basis of shared amplification products or restriction<br />

fragments according to Nei and Li (1979). The UPGMA and squared Euclidean distance<br />

were used for clustering.<br />

Data from genetic mapping were compared with barley and oat maps. In particular, the<br />

location of enzymatic sequences and the abundance of transposons were compared.<br />

9.3. RESULTS AND DISCUSSION<br />

9.3.1. Phylogenetic relationships between the genus Lolium and representativesof<br />

“Core Pooids”<br />

PCR-mediated gene sequencing for phylogenetic studies has increased explosively in<br />

recent years. Sequence data provide high-resolution picture of molecular diversity but sacrifice<br />

genetic information from many loci. Typically, sequence analysis involves a single gene<br />

in one or two individuals per a species. In that sense the DNA sequence data permit recovery<br />

of genetic information at less detailed level than some other kind of molecular markers. In<br />

Lolium the phylogenetic relationships are better resolved using different categories of molecular<br />

markers than analysing the LOLMTI mitochondrial sequence or the LOLPISO5A gene<br />

encoding L. perenne pollen allergen. Even the analysis of ITS in rDNA gives worse resolution<br />

than a wealth of molecular markers. A general view emerging from phylogenetic studies<br />

based on one or a few sequences is that they usually support for the higher taxa level but the<br />

support for the species level is very low. Furthermore, gene sequences are far more prone<br />

to phylogenetic noise than molecular markers because a nucleotide has only four alternative<br />

states. A practical income from analyses of DNA sequences is that a position of a given species<br />

tends to change depending on a gene used.<br />

To use as many markers as possible to interfere the phylogenetic relationships seems<br />

to be the most fruitful approach, especially if many different marker categories are available<br />

and the band identity is confirmed in mapping studies. The data from the genus Lolium<br />

(Chapter 8) as well as the current tree of Pooideae subfamily demonstrate the high reliability<br />

of such strategy. The majority of branches were resolved well and the species relationships

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