Potential effects of life history on demographic genetic structure in stage-structured plant populations
Potential effects of life history on demographic genetic structure in stage-structured plant populations
复制标题
生活史对阶段结构植物种群的人口遗传结构的潜在影响
DOI:
10.1101/2021.11.30.470535
复制
发表时间:
2021
期刊:
影响因子:
--
通讯作者:
Masashi Ohara
中科院分区:
文献类型:
--
作者:
Yoichi Tsuzuki;Takenori Takada;Masashi Ohara
Standing genetic variation, or genetic diversity, is a source of adaptive evolution, and is crucial for 17 long-term population persistence under environmental changes. One empirical method to predict 18 the temporal dynamics of standing genetic variation in age-or stage-structured populations is 19 to compare genetic diversity and composition among age/stage classes. The resultant within-20 population genetic structure, sometimes referred to as demographic genetic structure, has been 21 regarded as a proxy of potential genetic changes that accompany sequential generation turnover. 22 However, especially in stage-structured plant populations, individuals in more juvenile stages 23 do not necessarily represent future populations, as they might die, stop growing, or retrogress 24 over the course of life history. How demographic genetic structure is subjected to life history 25 and whether it is a good proxy of temporal genetic dynamics had remained unclear. Here, we 26 developed a matrix model which well describes temporal dynamics of expected heterozygosity, 27 a common proxy of genetic diversity, for a neutral locus in stage-structured populations under 28 equilibrium assumption. Based on the model, two indices of demographic genetic structure 29 were formulated: relative ratio of expected heterozygosity and genetic differentiation among 30 stage classes. We found that the two indices were largely determined by stable stage distribution 31 and population size, and that they did not show clear correlations with the change rate of 32 genetic diversity, indicating that inferring future genetic diversity from demographic genetic 33 structure conventionally is misleading. Our study facilitates reliable interpretation on empirical 34 demographic genetic data. 35
登录
查看更多内容
影响因子:
3.3
作者:
Xiang;S. Kurokawa;Stefano Giaimo;A. Traulsen
通讯作者:
A. Traulsen
影响因子:
2.7
作者:
H. Tomimatsu;M. Ohara
通讯作者:
M. Ohara
影响因子:
16.8
作者:
P. Bierzychudek
通讯作者:
P. Bierzychudek
影响因子:
3.1
作者:
D. Ally;K. Ritland
通讯作者:
K. Ritland
影响因子:
3.3
作者:
K. Yonezawa;E. Kinoshita;Yasuyuki Watano;Hiroko Zentoh
通讯作者:
Hiroko Zentoh