Clonació del gen de l'envolta de vih en el plàsmid pnl Δenv-Ren per la obtenció de recombinants

Estudi elaborat a partir d’una estada al Laboratori de Inmunopatología del SIDA del Dr Alcamí a l’Instituto de Salud Carlos III-Centro Nacional de Microbiologia, entre finals de desembre de 2006 i març de 2007. L’objectiu ha estat millorar la caracterització de l’envolta del VIH-1 mitjançant l’obtenció de virus recombinants, ja que això permet estudiar l’envolta viral tant genètica com fenotípicament. En aquest cas, s’ha estudiat l'envolta viral dels pacients sotmesos a vacunació terapèutica amb cèl•lules dendrítiques polsades amb virus autòlegs. Durant aquesta estada es realitza un aprenentatge profund de les tècniques adequades per a l'amplificació i clonatge del gen complet de l'envolta del VIH-1 (env), així com de l’obtenció de virus recombinants amb l’envolta del pacient i els corresponents assaigs de tropisme viral i neutralització sèrica. Aquesta metodologia empra el virus quimèric pNL4.3 delta_env Renilla, construït a partir del virus de referència NL4.3 i que té dues característiques importants: la primera és que conté un gen marcador Renilla, que a l’interior de les cèl•lules infectades té activitat luciferasa. La utilització del virus pNL4.3 delta_env Renilla en assaigs de neutralització presenta diversos avantatges front altres assaigs més convencionals, tant a nivell de sensibilitat i especificitat com d’estalvi de temps.

Minimizing recombinations in consensus networks for phylogeographic studies

Background: We address the problem of studying recombinational variations in (human) populations. In this paper, our focus is on one computational aspect of the general task: Given two networks G1 and G2, with both mutation and recombination events, defined on overlapping sets of extant units the objective is to compute a consensus network G3 with minimum number of additional recombinations. We describe a polynomial time algorithm with a guarantee that the number of computed new recombination events is within ϵ = sz(G1, G2) (function sz is a well-behaved function of the sizes and topologies of G1 and G2) of the optimal number of recombinations. To date, this is the best known result for a network consensus problem.Results: Although the network consensus problem can be applied to a variety of domains, here we focus on structure of human populations. With our preliminary analysis on a segment of the human Chromosome X data we are able to infer ancient recombinations, population-specific recombinations and more, which also support the widely accepted 'Out of Africa' model. These results have been verified independently using traditional manual procedures. To the best of our knowledge, this is the first recombinations-based characterization of human populations. Conclusion: We show that our mathematical model identifies recombination spots in the individual haplotypes; the aggregate of these spots over a set of haplotypes defines a recombinational landscape that has enough signal to detect continental as well as population divide based on a short segment of Chromosome X. In particular, we are able to infer ancient recombinations, population-specific recombinations and more, which also support the widely accepted 'Out of Africa' model. The agreement with mutation-based analysis can be viewed as an indirect validation of our results and the model. Since the model in principle gives us more information embedded in the networks, in our future work, we plan to investigate more non-traditional questions via these structures computed by our methodology.

The effect of recombination in Aeromonas

Although several approaches have been attempted, the estimation of recombination frequencies in natural populations ofbacteria remains challenging. Previous studies have demonstrated awide variety of situations among bacterial species, ranging from theclonal diversification of Salmonella or Escherichia coli, which aremainly due to mutation, to the frequent recombination found inNeisseria gonorrhoeae or Helicobacter pylori. Most of the populationstudies done with bacterial species suggest that recombination occursin nature but that it is infrequent compared to mutation. Consequently,bacterial populations consist largely of independent clonal lineages.Our research suggests little or null influence of recombination in thegenetic structure of "Aeromonas hydrophila Species Complex", despite the presence of some strains with recombinant gene fragments.

The effect of recombination in Aeromonas

Although several approaches have been attempted, the estimation of recombination frequencies in natural populations ofbacteria remains challenging. Previous studies have demonstrated awide variety of situations among bacterial species, ranging from theclonal diversification of Salmonella or Escherichia coli, which aremainly due to mutation, to the frequent recombination found inNeisseria gonorrhoeae or Helicobacter pylori. Most of the populationstudies done with bacterial species suggest that recombination occursin nature but that it is infrequent compared to mutation. Consequently,bacterial populations consist largely of independent clonal lineages.Our research suggests little or null influence of recombination in thegenetic structure of "Aeromonas hydrophila Species Complex", despite the presence of some strains with recombinant gene fragments.

Analysis of meiotic recombination in 22q11.2, a region that frequently undergoes deletions and duplications

Background: The 22q11.2 deletion syndrome is the most frequent genomic disorder with an estimated frequency of 1/4000 live births. The majority of patients (90%) have the same deletion of 3 Mb (Typically Deleted Region, TDR) that results from aberrant recombination at meiosis between region specific low-copy repeats (LCRs). Methods: As a first step towards the characterization of recombination rates and breakpoints within the 22q11.2 region we have constructed a high resolution recombination breakpoint map based on pedigree analysis and a population-based historical recombination map based on LD analysis. Results: Our pedigree map allows the location of recombination breakpoints with a high resolution (potential recombination hotspots), and this approach has led to the identification of 5 breakpoint segments of 50 kb or less (8.6 kb the smallest), that coincide with historical hotspots. It has been suggested that aberrant recombination leading to deletion (and duplication) is caused by low rates of Allelic Homologous Recombination (AHR) within the affected region. However, recombination rate estimates for 22q11.2 region show that neither average recombination rates in the 22q11.2 region or within LCR22-2 (the LCR implicated in most deletions and duplications), are significantly below chromosome 22 averages. Furthermore, LCR22-2, the repeat most frequently implicated in rearrangements, is also the LCR22 with the highest levels of AHR. In addition, we find recombination events in the 22q11.2 region to cluster within families. Within this context, the same chromosome recombines twice in one family; first by AHR and in the next generation by NAHR resulting in an individual affected with the del22q11.2 syndrome. Conclusion: We show in the context of a first high resolution pedigree map of the 22q11.2 region that NAHR within LCR22 leading to duplications and deletions cannot be explained exclusively under a hypothesis of low AHR rates. In addition, we find that AHR recombination events cluster within families. If normal and aberrant recombination are mechanistically related, the fact that LCR22s undergo frequent AHR and that we find familial differences in recombination rates within the 22q11.2 region would have obvious health-related implications.

Allelic diversity and population structure in Vibrio cholerae O139 Bengal based on nucleotide sequence analysis

Comparative analysis of gene fragments of six housekeeping loci, distributed around the two chromosomes of Vibrio cholerae, has been carried out for a collection of 29 V. cholerae O139 Bengal strains isolated from India during the first epidemic period (1992 to 1993). A toxigenic O1 ElTor strain from the seventh pandemic and an environmental non-O1/non-O139 strain were also included in this study. All loci studied were polymorphic, with a small number of polymorphic sites in the sequenced fragments. The genetic diversity determined for our O139 population is concordant with a previous multilocus enzyme electrophoresis study in which we analyzed the same V. cholerae O139 strains. In both studies we have found a higher genetic diversity than reported previously in other molecular studies. The results of the present work showed that O139 strains clustered in several lineages of the dendrogram generated from the matrix of allelic mismatches between the different genotypes, a finding which does not support the hypothesis previously reported that the O139 serogroup is a unique clone. The statistical analysis performed in the V. cholerae O139 isolates suggested a clonal population structure. Moreover, the application of the Sawyer's test and split decomposition to detect intragenic recombination in the sequenced gene fragments did not indicate the existence of recombination in our O139 population.

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