PDF(Pubmed)
Abstract：
We examine the population genetic structure and divergence among the regional populations of the Japanese honeybee, Apis cerana japonica, by re-sequencing the genomes of 105 individuals from the three main Japanese islands with diverse climates. The genetic structure results indicated that these individuals are distinct from the mainland Chinese A. cerana samples. Furthermore, population structure analyses have identified three genetically distinct geographic regions in Japan: Northern (Tohoku-Kanto-Chubu districts), Central (Chugoku district), and Southern (Kyushu district). In some districts, \"possible non-native\" individuals, likely introduced from other regions in recent years, were discovered. Then, genome-wide scans were conducted to detect candidate genes for adaptation by two different approaches. We performed a population branch statistics (PBS) analysis to identify candidate genes for population-specific divergence. A latent factor mixed model (LFMM) was used to identify genes associated with climatic variables along a geographic gradient. The PBSmax analysis identified 25 candidate genes for population-specific divergence whereas the LFMM analysis identified 73 candidate genes for adaptation to climatic variables along a geographic gradient. However, no common genes were identified by both methods.
摘要：
我们研究了日本蜜蜂的种群遗传结构和区域种群之间的差异，日本蜜蜂,通过对来自三个不同气候的日本主要岛屿的105个个体的基因组进行重新测序。遗传结构结果表明，这些个体与中国大陆A.cererana样本不同。此外，人口结构分析在日本确定了三个遗传上不同的地理区域：北部（东北-关东-中部地区），中环(楚谷区),和南部（九州地区）。在一些地区,“可能的非本地人”个人，可能是近年来从其他地区引进的，被发现了。然后，通过两种不同的方法进行全基因组扫描以检测适应的候选基因.我们进行了种群分支统计（PBS）分析，以确定种群特异性差异的候选基因。潜在因子混合模型（LFMM）用于沿地理梯度鉴定与气候变量相关的基因。PBSmax分析确定了25个候选基因，用于种群特异性差异，而LFMM分析确定了73个候选基因，用于沿地理梯度适应气候变量。然而,这两种方法均未发现共同基因.
