College of Animal Sciences (College of Bee Science), Fujian Agriculture and Forestry University, Fuzhou, 350002, China; College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, 350002, China; Key Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems, College of the Environment and Ecology, Xiamen University, Xiamen, 361005, China.
State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Mol Cell Probes. 2020 Aug;52:101542. doi: 10.1016/j.mcp.2020.101542. Epub 2020 Feb 24.
In order to interpret the molecular mechanisms that modulating the organism variations and selection signatures to drive adaptive evolutionary changes are indispensable goals in the new evolutionary ecological genetics. Here, we identified the gene locus associated to royal jelly production through whole-genome sequencing of the DNA from eight populations of honeybees. The analysis of the samples was composed of 120 individuals and each pointed extremely opposite trait values for a given phenotype. We identified functional single nucleotide polymorphisms (SNPs) candidate that might be essential in regulating the phenotypic traits of honeybee populations. Moreover, selection signatures were investigated using pooling sequencing of eight distinct honeybee populations, and the results provided the evidence of signatures of recent selection among populations under different selection objectives. Furthermore, gene ontology (GO) annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses indicated that selected genes were potentially involved in several biological processes and molecular functioning, which could directly or indirectly influence the production of royal jelly. Our findings can be used to understand the genomic signatures, as well as implicate a profound glance on genomic regions that control the production trait of royal jelly in honey bees.
为了解释调节生物体变异和选择特征的分子机制，以推动适应性进化改变，这是新的进化生态遗传学中不可或缺的目标。在这里，我们通过对来自 8 个蜜蜂种群的 DNA 进行全基因组测序，确定了与蜂王浆生产相关的基因座。对样本的分析由 120 个个体组成，每个个体都表现出非常极端的特定表型值。我们鉴定了候选的功能单核苷酸多态性 (SNP)，这些 SNP 可能对调节蜜蜂种群表型特征至关重要。此外，还使用 8 个不同蜜蜂种群的混合测序来研究选择特征，结果提供了不同选择目标下种群中近期选择的证据。此外，基因本体 (GO) 注释和京都基因与基因组百科全书 (KEGG) 途径分析表明，选择的基因可能参与了几个生物过程和分子功能，这些过程和功能可能直接或间接地影响蜂王浆的产生。我们的研究结果可以用来了解基因组特征，并深入了解控制蜜蜂蜂王浆生产特性的基因组区域。
