Réplication de l'ADN

1ère Spé-SVT

Transmission du programme génétique

Comprendre les modalités de

La réplication

de l'ADN

Lycée Jean Moulin Béziers ~CLJ bio2a inspiré de Mickaël Muller, lycée Vauban, Aire-sur-la-Lys

Rappels importants

Des découvertes importantes ...

Les nucléotides s'assemblent en respectant la règle de complémentarité des bases azotées (A-T , C-G)

• Au début des années 1950 les biologistes savent que la molécule d'ADN est le support de l'hérédité
• Ils savent qu'elle est formée de 4 sortes de nucléotides A,T,C,G distinguables par leurs bases azotées.
• Grâce à la diffraction par rayons X et le fameux "cliché-51" de Rosalind Franklin, Watson & Crick découvrent la structure en double hélice de l'ADN en 1953
• Watson & Crick obtiennent le prix Nobel de médecine en 1962

La molécule d'ADN est une "double hélice", plus ou moins condensée selon les moments du cycle cellulaire.

L'ADN est une molécule "bicaténaire" = formée de 2 chaînes complémentaires, en double hélice

la phase s

La réplication de l'adn a lieu pendant la phase s

3 hypothèses existent

A l'issue de la réplication on obtient une molécule bicaténaire "mère" et une molécule bicaténaire "néoformée"

A l'issue de la réplication on obtient 2 molécules d'ADN bicaténaires dans lesquelles une des chaines provient de la molécule initiale et l'autre est néoformée

Hypothèse 1 : Réplication CONSERVATIVE

A l'issue de la réplication on obtient 2 molécules d'ADN bicaténaires "mosaïques" constituées d'ADN de la molécule initiale mélangé à de l'ADN néoformé

Hypothèse 2 : Réplication SEMI-CONSERVATIVE

une seule est correcte

Hypothèse 3 : Réplication DISPERSIVE

3 hypothèses existent

A l'issue de la réplication on obtient une molécule bicaténaire "mère" et une molécule bicaténaire "néoformée"

A l'issue de la réplication on obtient 2 molécules d'ADN bicaténaires dans lesquelles une des chaines provient de la molécule initiale et l'autre est néoformée

Hypothèse 1 : Réplication CONSERVATIVE

A l'issue de la réplication on obtient 2 molécules d'ADN bicaténaires "mosaïques" constituées d'ADN de la molécule initiale mélangé à de l'ADN néoformé

Hypothèse 2 : Réplication SEMI-CONSERVATIVE

une seule est correcte

Hypothèse 3 : Réplication DISPERSIVE

3 hypothèses existent

A l'issue de la réplication on obtient une molécule bicaténaire "mère" et une molécule bicaténaire "néoformée"

A l'issue de la réplication on obtient 2 molécules d'ADN bicaténaires dans lesquelles une des chaines provient de la molécule initiale et l'autre est néoformée

Hypothèse 1 : Réplication CONSERVATIVE

A l'issue de la réplication on obtient 2 molécules d'ADN bicaténaires "mosaïques" constituées d'ADN de la molécule initiale mélangé à de l'ADN néoformé

Hypothèse 2 : Réplication SEMI-CONSERVATIVE

une seule est correcte

Hypothèse 3 : Réplication DISPERSIVE

Code 1958 à l'envers: 8591

Mission N°1

A la page suivante, schématiser les molécules d'ADN obtenues après réplication selon les 3 hypothèses.La molécule initiale sera bleue.l'ADN néoformé sera rouge.

Code 4577

Molécule d'ADN avant réplication

Aide

Molécules d'ADN après réplication conservative

Molécules d'ADN après réplication dispersive

Molécules d'ADN après réplication semi-conservative

Faites une capture d'écran une fois vos schémas réalisés

Code 4577

Molécule d'ADN avant réplication

Aide

Molécules d'ADN après réplication conservative

Molécules d'ADN après réplication dispersive

Molécules d'ADN après réplication semi-conservative

Faites une capture d'écran une fois vos schémas réalisés

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

1958

MISSION N°2

l'expérience historique de Meselson et Stahl

Stahl

Meselson

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

MISSION N°2

Principe de la centrifugation sur gradient de densité

L'expérience historique

L'idée novatrice de Meselson & Stahl est d'utiliser les isotopes 14 (léger) et 15 (lourd) de l'azote (N) pour marquer la molécule d'ADN lors de la réplication

Précisions :La centrifugation est réalisée sur un gradient de chlorure de césium, permettant de mettre en évidence les très faibles différences de densités. Les chercheurs ont réussi à obtenir des populations de bactéries synchrones = qui se divisient en même temps.

Code 4577

Mission N°2

Schématiser les molécules d'ADN obtenues après 1 cycle cellulaire (donc 1 réplication) selon les 3 hypothèses.Les chaînes de nucléotides riches en 15N en bleue.Les chaînes de nucléotidesriches en 14N en rouge.

Code 4577

Molécule d'ADN avant réplication

Aide

Molécules d'ADN après réplication conservative

Molécules d'ADN après réplication dispersive

Molécules d'ADN après réplication semi-conservative

Faites une capture d'écran une fois vos schémas réalisés

Mission N°2

Comparez les résultats obtenus pour chaque hypothèse testée avec le résultat obtenu par Meselson et Stahl à la fin du premier cycle. Une hypothèse peut elle être écartée ou non ?

MISSION N°3

Choisis l'hypothèse que l'on peut réfuterD'après les résultats de Meselson et Stahl

Hypothèse 1 : Réplication CONSERVATIVE

Hypothèse 2 : Réplication SEMI-CONSERVATIVE

Hypothèse 3 : Réplication DISPERSIVE

Non, tu n'as pas fait le bon choix. Mais ce n'est pas grave, c'est en se plantant qu'une idée pousse et qu'on devient cultivé ...essaye encore

réessayer

Bravo

effectivement la réplication selon le modèle conservatif ne correspond pas aux résultats de Meselson et Stahl !Mais il reste 2 hypothèses, laquelle choisir ?

mission N°4

Les bactéries sont maintenues pendant une génération supplémentaire dans un milieu contenant du 14N

L'expérience historique

Mission N°4

Schématiser les molécules d'ADN obtenues après le 2è cycle cellulaire selon les 2 hypothèses restantes.Les chaînes de nucléotides riches en 15N en bleue.Les chaînes de nucléotides riches en 14N en rouge.

Code 4577

Molécule d'ADN avant réplication

Aide

1er cycle

2ème cycle

Molécules d'ADN aprèsréplication semi-conservative

Molécules d'ADN aprèsréplication dispersive

Faites une capture d'écran une fois vos schémas réalisés

Code 4577

Molécule d'ADN avant réplication

Aide

1er cycle

2ème cycle

Molécules d'ADN aprèsréplication semi-conservative

Molécules d'ADN aprèsréplication dispersive

Faites une capture d'écran une fois vos schémas réalisés

Réplication semi-conservative

Réplication dispersive

VS

je valide cette hypothèse

je valide cette hypothèse

Non, tu n'as pas fait le bon choix. Mais ce n'est pas grave, c'est en se plantant qu'une idée pousse et qu'on devient cultivé ...essaye encore

réessayer

Félicitations !

pour les plus rapides

Les bactéries sont maintenues pendant une génération supplémentaire dans un milieu contenant du 14N

Précisez quelles seront les proportions de molecules d'ADN aprés un troisième cycle

Code 4577

Molécule d'ADN avant réplication

Aide

1er cycle

2ème cycle

3ème cycle

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La vitesse de l'ADN polymérase chez une bactérie procaryote Les organismes procaryotes ne possèdent qu’un seul chromosome sous forme circulaire. Le chromosome de E. coli contient 4,6 millions de paires de nucléotides. On peut estimer la vitesse à laquelle fonctionne l’ADN polymérase chez les procaryotes. Sachant qu'il faut environ 40 minutes à la bactérie Escherichia coli pour répliquer l’intégralité de son génome, calculez la vitesse de fonctionnement de l'ADN polymérase procaryote (en nucléotides incorporés par seconde).

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Un peu de réflexion ! Chez les eucaryotes, la réplication de l’ADN s’effectue à la vitesse d’environ 100 nucléotides par seconde. Chez l’Homme, où le plus long des chromosomes (le N°1) comprend 250 millions de nucléotides, la phase S dure environ 8 heures dans la plupart des cellules. Calculez la durée théorique nécessaire à la réplication du chromosome n°1. Que constatez-vous ? Comment l’expliquez-vous ?

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