Liu Ying, Ge Wanting, Danzeng Luobu, Wang Junhui, Danzeng Nima, Ma Wenjun, Wang Yuting, Gesang Quzhen
State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China.
State Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry and Northeast Forestry University, Beijing, 100091, China.
BMC Plant Biol. 2025 Jul 11;25(1):899. doi: 10.1186/s12870-025-06885-0.
Sophora moorcroftiana, a key stone shrub in Xizang (Tibet), has significant ecological and economic value. However, its populations face severe degradation. Understanding key evolutionary drivers of genetic variation within and among populations is critical for conserving and managing this species. Previous studies indicate a strong genetic structure correlated with altitude, but limited knowledge exists about the drivers of its geographic structure and evolutionary history. To address this, we conducted genomic research on 225 samples from 15 populations of S. moorcroftiana.
Populations of S. moorcroftiana exhibited distinct population structure, divided into four subpopulations. Subpopulation P1 (Gongbu Jiangda County, Nyingchi) showed the greatest genetic differentiation from other populations (average Fst = 0.2477), with the lowest genetic diversity (Pi = 1.1 × 10) and the smallest effective population size. P2, in the lower altitude area (Nyingchi), had larger genetic differentiation from the mid-altitude P3 (Fst = 0.168) and the high-altitude P4 (Fst = 0.227), with lower genetic diversity and effective population size. P3 and P4 had smaller genetic differentiation, with P3 having the largest genetic diversity and effective population size, followed by P4. D-statistics and Treemix revealed predominant gene flow from lower to higher altitude populations, with geographic proximity enhancing genetic sharing. SMC + + analyses suggested that the subpopulations experienced severe bottlenecks, genetic drift, and population expansion due to glacial-interglacial cycles and geological events. Partial Mantel tests revealed that the genetic variation distribution of S. moorcroftiana populations was more influenced by geographic isolation. Through genotype-environment association analysis, 90 single nucleotide polymorphisms (SNPs) were found to be significantly associated with environmental factors, of which 55 SNPs were annotated to genes, involving 20 genes.
The uplift of the plateau and intense climatic fluctuations during the Quaternary have profoundly impacted the genetic structure and geographic distribution of species in the region. The current genetic distribution characteristics were shaped by the subsequent influences of geography, environment, and gene flow. These findings provide a theoretical basis for the utilization of genetic resources, the formulation and implementation of conservation strategies for S. moorcroftiana, and the exploration of its adaptation mechanisms to the plateau environment.
西藏狼牙刺是西藏地区的一种关键灌木,具有重要的生态和经济价值。然而,其种群面临严重退化。了解种群内部和种群之间遗传变异的关键进化驱动因素对于该物种的保护和管理至关重要。先前的研究表明,其遗传结构与海拔高度密切相关,但对其地理结构和进化历史的驱动因素了解有限。为了解决这一问题,我们对来自西藏狼牙刺15个种群的225个样本进行了基因组研究。
西藏狼牙刺种群呈现出明显的种群结构,分为四个亚种群。亚种群P1(林芝市工布江达县)与其他种群的遗传分化最大(平均Fst = 0.2477),遗传多样性最低(Pi = 1.1×10),有效种群大小最小。位于较低海拔地区的P2(林芝)与中海拔的P3(Fst = 0.168)和高海拔的P4(Fst = 0.227)遗传分化较大,遗传多样性和有效种群大小较低。P3和P4的遗传分化较小,其中P3的遗传多样性和有效种群大小最大,其次是P4。D统计和Treemix分析表明,基因流主要从低海拔种群流向高海拔种群,地理距离越近,遗传共享程度越高。SMC ++分析表明,由于冰期-间冰期循环和地质事件,亚种群经历了严重的瓶颈效应、遗传漂变和种群扩张。部分Mantel检验表明,西藏狼牙刺种群的遗传变异分布受地理隔离的影响更大。通过基因型-环境关联分析,发现90个单核苷酸多态性(SNP)与环境因子显著相关,其中55个SNP注释到基因,涉及20个基因。
第四纪期间高原隆升和强烈的气候波动对该地区物种的遗传结构和地理分布产生了深远影响。当前的遗传分布特征是地理、环境和基因流后续影响的结果。这些发现为西藏狼牙刺遗传资源的利用、保护策略的制定和实施以及其对高原环境适应机制的探索提供了理论依据。