中文摘要
针对毛红椿在亚热带地区分布广泛,遗传变异丰富的现象,本项目决定将毛红椿天然群体作为重点研究对象,以期抓住毛红椿天然群体适应性遗传变异分布格局的主体,利用景观遗传学和群体遗传学方法,开展有针对性的研究和探索。研究空间小尺度到空间大尺度水平上距离隔离、地形等对毛红椿群体空间遗传结构的影响,揭示群体遗传变异空间分布格局与景观特征之间的相关性;景观特征和环境因子诸如生境片段化、地形和水系等方面对毛红椿群体基因流的影响;系统研究毛红椿天然群体内和群体间遗传变异分布情况,检测与适应性遗传变异分布相关的位点,探索毛红椿天然群体适应性遗传变异对景观环境变量(海拔、纬度、降水和温度等)的响应,分析等位基因频率和环境变量之间的关系。以期为毛红椿天然林的保护提供理论指导,并为其他珍稀濒危树种遗传多样性保护和保护策略的制定提供参考。鉴于以上考虑,开展“基于景观遗传学研究毛红椿适应性遗传变异分布格局”研究非常必要。
英文摘要
Aiming at the phenomenon of wide distribution in the subtropical area and the rich genetic variation of Toona ciliata var. pubescens, natural populations of T. ciliata var. pubescens will be selected for this project. In order to understand the distribution patterns of adaptive genetic variation in natural populations of T. ciliata var. pubescens, the pertinent studies and explorations will be carried out. The contents of the study include the effects of isolation by distance and terrain on spatial genetic structure from small-scale to large-scale space in populations of T. ciliata var. pubescens, with the purpose of revealing the relationship between spatial distribution pattern of genetic variation and landscape features. The next step will be to study the effects of landscape and environmental features including habitat fragmentation, terrain and river systems on the gene flow of populations. Distribution of genetic variation within and between natural populations will be studied too. Loci related to distribution of adaptive genetic variation will be found. Response of adaptive genetic variation in natural populations of T. ciliata var. pubescens on landscape and environmental features will be explored, and relations between allele frequence and environmental features will be analyzed too. Theoretical guidance for natural forest conservation of T. ciliata var. pubescens and other endangered tree species will be useful by implementing this study. So it is very indispensable to carry out the study of “Distribution patterns of adaptive genetic variation in populations of T. ciliata var. pubscens based on landscape genetics”.
