La crise du transformisme

Ohne Zusammenfassung     

Chromosome doubling of 2x Solanum species by oryzalin: method development and comparison with spontaneous chromosome doubling in vitro

A potato breeding scheme implies the possibility of ploidy level manipulation either by reducing the chromosome number of cultivars from 48 to 24 to be able to cross them with diploid related species or by doubling diploid material to reach the generally optimal tetraploid level. In vitro spontaneous chromosome doubling is widely used but can lead to somaclonal variation. Since oryzalin has proven to be efficient as a chromosome doubling agent on potato cell suspension cultures, we tried this herbicide on various Solanum species and interspecific diploid hybrids. A 24 h dip in a 28.8 M aqueous oryzalin solution applied on apical buds was the most efficient treatment in terms of tetraploid plant production (mean = 4.1 tetraploid plants for 10 treated buds over 4 genotypes). However 50–100% of the regenerated tetraploid plants acclimatized after in vitro treatment proved to be chimaeric. Consequently, a selection procedure in the progeny was necessary to obtain real and stable doubled clones and final yields were low. This technique is easy to apply and could be a good alternative to chromosome doubling by spontaneous in vitro regeneration in the case of refractory genotypes especially where somaclonal variation is problematic. Percentage of tetraploids among the regenerated plants varied from 6 to 29% with the oryzalin doubling technique while it varied from 20 to 78% by in vitro spontaneous doubling for five diploid genotypes. An observation of the progeny indicated that chimaeras were more frequent using oryzalin (50–100% of the initially supposed tetraploid plants) than when chromosomes doubled spontaneously (4–67% of the initially supposed tetraploid plants).     

Development and mapping of peach candidate genes involved in fruit quality and their transferability and potential use in other Rosaceae species

The goal of the present study was to identify candidate genes (CGs) involved in fruit quality in peach that can be transferred to other Rosaceae species. Two cDNA libraries from fruit of the “Fantasia” peach cultivar, constructed at two stages of development, were used to generate a set of expressed sequence tag sequences. A total of 1,730 peach unigenes were obtained after clustering. Sequences and corresponding annotations were stored in a relational database and are available through a web interface. Fifty-nine CGs involved in fruit growth and development or fruit quality at maturity, focusing on sweetness, acidity, and phenolic compound content, were selected according to their annotation. Fifty-five primer pairs, designed from peach CG sequences and giving PCR products in peach, were tested in strawberry and 36 gave amplified products. Eight CGs were mapped in peach, 14 in strawberry, four in both species and confirmed the pattern of synteny already proposed using comparative mapping. In peach, the CGs are located in three linkage groups (3, 5, 7), and in strawberry they are distributed in all seven Fragaria linkage groups. Colocalization between some of these CGs and quantitative trait loci for fruit quality traits were identified and are awaiting confirmation in further analyses.     

<Emphasis Type="Italic">Scoredist</Emphasis>: A simple and robust protein sequence distance estimator

Background  

Distance-based methods are popular for reconstructing evolutionary trees thanks to their speed and generality. A number of methods exist for estimating distances from sequence alignments, which often involves some sort of correction for multiple substitutions. The problem is to accurately estimate the number of true substitutions given an observed alignment. So far, the most accurate protein distance estimators have looked for the optimal matrix in a series of transition probability matrices, e.g. the Dayhoff series. The evolutionary distance between two aligned sequences is here estimated as the evolutionary distance of the optimal matrix. The optimal matrix can be found either by an iterative search for the Maximum Likelihood matrix, or by integration to find the Expected Distance. As a consequence, these methods are more complex to implement and computationally heavier than correction-based methods. Another problem is that the result may vary substantially depending on the evolutionary model used for the matrices. An ideal distance estimator should produce consistent and accurate distances independent of the evolutionary model used.     

Improved profile HMM performance by assessment of critical algorithmic features in SAM and HMMER

Background  

Profile hidden Markov model (HMM) techniques are among the most powerful methods for protein homology detection. Yet, the critical features for successful modelling are not fully known. In the present work we approached this by using two of the most popular HMM packages: SAM and HMMER. The programs' abilities to build models and score sequences were compared on a SCOP/Pfam based test set. The comparison was done separately for local and global HMM scoring.