Artificial Selection for Reduced Fitness in Panmictic Populations of Drosophila melanogaster
- Авторы: Stupnikova A.1,2, Vasilyeva J.1,2, Neretina T.2, Kondrashov A.2
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Учреждения:
- Shirshov Institute of Oceanology, Russian Academy of Sciences
- Belozersky Institute of Physicochemical Biology, Moscow State University
- Выпуск: Том 55, № 4 (2019)
- Страницы: 411-417
- Раздел: General Genetics
- URL: https://journals.rcsi.science/1022-7954/article/view/189307
- DOI: https://doi.org/10.1134/S1022795419040148
- ID: 189307
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Аннотация
We investigated the evolution of the panmictic experimental populations of Drosophila melanogaster under the influence of artificial selection for reduced fitness. Slowly developing flies were selected among offspring from parents with low sexual activity and low fecundity. As result of this selection carried out for 16 generations, there was a strong decline in the various components of fitness. Our results confirm the results of the experiments by Kaidanov and his staff. The more rapid decrease in fitness observed by us seems to be due to the use of panmictic populations instead of inbred lines. Thus, the resulting fly selection observed in our studies likely reflects a preexisting genetic variation, rather than new mutations.
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Об авторах
A. Stupnikova
Shirshov Institute of Oceanology, Russian Academy of Sciences; Belozersky Institute of Physicochemical Biology, Moscow State University
Автор, ответственный за переписку.
Email: astupnikova@gmail.com
Россия, Moscow, 117997; Moscow, 119991
Ju. Vasilyeva
Shirshov Institute of Oceanology, Russian Academy of Sciences; Belozersky Institute of Physicochemical Biology, Moscow State University
Email: nertata@wsbs-msu.ru
Россия, Moscow, 117997; Moscow, 119991
T. Neretina
Belozersky Institute of Physicochemical Biology, Moscow State University
Автор, ответственный за переписку.
Email: nertata@wsbs-msu.ru
Россия, Moscow, 119991
A. Kondrashov
Belozersky Institute of Physicochemical Biology, Moscow State University
Email: nertata@wsbs-msu.ru
Россия, Moscow, 119991