Background
LINE-1 (Long Interspersed Nuclear Elements, L1) retrotransposons are the only autonomously active transposable elements in the human genome. The evolution of L1 retrotransposition rates and its implications for L1 dynamics are poorly understood. Retrotransposition rates are commonly measured in cell culture-based assays, but it is unclear how well these measurements provide insight into L1 population dynamics. This study applied comparative methods to estimate parameters for the evolution of retrotransposition rates, and infer L1 dynamics from these estimates.
Results
Our results show that the rates at which new L1s emerge in the human population correlate positively to cell-culture based retrotransposition activities, that there is an evolutionary trend towards lower retrotransposition activity, and that this evolutionary trend is not sufficient to counter-balance the increase in L1s resulting from continuing retrotransposition.
Conclusions
Together, these findings support a model of the population-level L1 retrotransposition dynamics that is consistent with prior expectations and indicate the remaining gaps in the understanding of L1 dynamics in human genomes.

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Posted 25 May, 2021
Received 18 Jun, 2021
On 18 Jun, 2021
Received 08 Jun, 2021
On 06 Jun, 2021
Received 05 Jun, 2021
On 28 May, 2021
Received 27 May, 2021
On 26 May, 2021
Invitations sent on 24 May, 2021
On 24 May, 2021
On 23 May, 2021
On 23 May, 2021
On 12 May, 2021
Posted 25 May, 2021
Received 18 Jun, 2021
On 18 Jun, 2021
Received 08 Jun, 2021
On 06 Jun, 2021
Received 05 Jun, 2021
On 28 May, 2021
Received 27 May, 2021
On 26 May, 2021
Invitations sent on 24 May, 2021
On 24 May, 2021
On 23 May, 2021
On 23 May, 2021
On 12 May, 2021
Background
LINE-1 (Long Interspersed Nuclear Elements, L1) retrotransposons are the only autonomously active transposable elements in the human genome. The evolution of L1 retrotransposition rates and its implications for L1 dynamics are poorly understood. Retrotransposition rates are commonly measured in cell culture-based assays, but it is unclear how well these measurements provide insight into L1 population dynamics. This study applied comparative methods to estimate parameters for the evolution of retrotransposition rates, and infer L1 dynamics from these estimates.
Results
Our results show that the rates at which new L1s emerge in the human population correlate positively to cell-culture based retrotransposition activities, that there is an evolutionary trend towards lower retrotransposition activity, and that this evolutionary trend is not sufficient to counter-balance the increase in L1s resulting from continuing retrotransposition.
Conclusions
Together, these findings support a model of the population-level L1 retrotransposition dynamics that is consistent with prior expectations and indicate the remaining gaps in the understanding of L1 dynamics in human genomes.

Figure 1

Figure 2

Figure 3
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