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Modeling temporal dynamics of genetic diversity in stage-structured plant populations with reference to demographic genetic structure
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| Title: | Modeling temporal dynamics of genetic diversity in stage-structured plant populations with reference to demographic genetic structure |
| Authors: | Tsuzuki, Yoichi Browse this author | | Takada, Takenori Browse this author →KAKEN DB | | Ohara, Masashi Browse this author →KAKEN DB |
| Keywords: | Effective population size | | Expected heterozygosity | | Life history | | Matrix model | | Non-identical-by-descent |
| Issue Date: | Dec-2022 |
| Publisher: | Elsevier |
| Journal Title: | Theoretical Population Biology |
| Volume: | 148 |
| Start Page: | 76 |
| End Page: | 85 |
| Publisher DOI: | 10.1016/j.tpb.2022.11.001 |
| Abstract: | Predicting temporal dynamics of genetic diversity is important for assessing long-term population persistence. In stage-structured populations, especially in perennial plant species, genetic diversity is often compared among life history stages, such as seedlings, juveniles, and flowerings, using neutral genetic markers. The comparison among stages is sometimes referred to as demographic genetic structure, which has been regarded as a proxy of potential genetic changes because individuals in mature stages will die and be replaced by those in more immature stages over the course of time. However, due to the lack of theoretical examination, the basic property of the stage-wise genetic diversity remained unclear. We developed a matrix model which was made up of difference equations of the probability of non-identical-by-descent of each life history stage at a neutral locus to describe the dynamics and the inter-stage differences of genetic diversity in stage-structured plant populations. Based on the model, we formulated demographic genetic structure as well as the annual change rate of the probability of non-identical-by-descent (denoted as eta). We checked if theoretical expectations on demographic genetic structure and eta obtained from our model agreed with computational results of stochastic simulation using randomly generated 3,000 life histories. We then examined the relationships of demographic genetic structure with effective population size Ne, which is the determinants of diversity loss per generation time. Theoretical expectations on eta and demographic genetic structure fitted well to the results of stochastic simulation, supporting the validity of our model. Demographic genetic structure varied independently of Ne and eta, while having a strong correlation with stable stage distribution: genetic diversity was lower in stages with fewer individuals. Our results indicate that demographic genetic structure strongly reflects stable stage distribution, rather than temporal genetic dynamics, and that inferring future genetic diversity solely from demographic genetic structure would be misleading. Instead of demographic genetic structure, we propose eta as an useful tool to predict genetic diversity at the same time scale as population dynamics (i.e., per year), facilitating evaluation on population viability from a genetic point of view.(c) 2022 Elsevier Inc. All rights reserved. |
| Rights: | © 2022. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ | | http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| Type: | article (author version) |
| URI: | http://hdl.handle.net/2115/90761 |
| Appears in Collections: | 環境科学院・地球環境科学研究院 (Graduate School of Environmental Science / Faculty of Environmental Earth Science) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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Submitter: 大原 雅
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