Interpretation of Sucrose Gradient Sedimentation Pattern of Deoxyribonucleic Acid Fragments Resulting from Random Breaks

Author:

Litwin Samuel1,Shahn Ezra1,Kozinski Andrzej W.1

Affiliation:

1. Department of Medical Genetics, University of Pennsylvania, Philadelphia, Pennsylvania 19104

Abstract

Mass distribution in a sucrose gradient of deoxyribonucleic acid (DNA) fragments arising as a result of random breaks is predicted by analytical means from which computer evaluations are plotted. The analytical results are compared with the results of verifying experiments: (i) a Monte Carlo computer experiment in which simulated molecules of DNA were individuals of unit length subjected to random “breaks” applied by a random number generator, and (ii) an in vitro experiment in which molecules of T4 DNA, highly labeled with 32 P, were stored in liquid nitrogen for variable periods of time during which a precisely known number of 32 P atoms decayed, causing single-stranded breaks. The distribution of sizes of the resulting fragments was measured in an alkaline sucrose gradient. The profiles obtained in this fashion were compared with the mathematical predictions. Both experiments agree with the analytical approach and thus permit the use of the graphs obtained from the latter as a means of determining the average number of random breaks in DNA from distributions obtained experimentally in a sucrose gradient. An example of the application of this procedure to a previously unresolved problem is provided in the case of DNA from ultraviolet-irradiated phage which undergoes a dose-dependent intracellular breakdown. The relationship between the number of lethal hits and the number of single-stranded breaks was not previously established. A comparison of the calculated number of nicks per strand of DNA with the known dose in phage-lethal hits reveals a relationship closely approximating one lethal hit to one single-stranded break.

Publisher

American Society for Microbiology

Subject

Virology,Insect Science,Immunology,Microbiology

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