ArticleBMC genomics2019
Population genomics and morphological features underlying the adaptive evolution of the eastern honey bee (Apis cerana).
Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed.
- Article
- Exploring the genetics of social behaviour in C. calcarata.Scientific reports · 2025Article
- An Evaluation of Morphometric Characteristics of Honey Bee (Life (Basel, Switzerland) · 2025Article
- The complete mitochondrial genome ofFrontiers in genetics · 2025Article
- Investigations on Beekeeping and Breeding ofLife (Basel, Switzerland) · 2024Article
- Complete Mitochondrial Genome ofInsects · 2024Article
- Whole-genome resequencing reveals genetic diversity and adaptive evolution in Chinese honeybee (Frontiers in genetics · 2024Article
- Article
- Article
- The first steps toward a global pandemic: Reconstructing the demographic history of parasite host switches in its native range.Molecular ecology · 2022Article
- Geometric morphology and population genomics provide insights into the adaptive evolution of Apis cerana in Changbai Mountain.BMC genomics · 2022Article
- Genomic analysis of Asian honeybee populations in China reveals evolutionary relationships and adaptation to abiotic stress.Ecology and evolution · 2020Article
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5 authors.
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Abstract
backgroundThe adaptation of organisms to changing environments is self-evident, with the adaptive evolution of organisms to environmental changes being a fundamental problem in evolutionary biology. Bees can pollinate in various environments and climates and play important roles in maintaining the ecological balance of the earth.
resultsWe performed an analysis of 462 Apis cerana (A. cerana) specimens from 31 populations in 11 regions and obtained 39 representative morphological features. We selected 8 A. cerana samples from each population and performed 2b-RAD simplified genome sequencing. A total of 11,506 high-quality single nucleotide polymorphism (SNP) loci were obtained. For these SNPs, the minor allele frequency (MAF) was > 1%, the average number of unique labels for each sample was 49,055, and the average depth was 72.61x. The ratios of the unique labels of all samples were 64.27-86.33%.
conclusionsUsing 39 morphological characteristics as the data set, we proposed a method for the rapid classification of A. cerana. Using genomics to assess population structure and genetic diversity, we found that A. cerana has a large genetic difference at the ecotype level. A comparison of A. cerana in North China revealed that some physical obstacles, especially the overurbanization of the plains, have isolated the populations of this species. We identified several migration events in North China and Central China. By comparing the differences in the environmental changes in different regions, we found that A. cerana has strong potential for climate change and provides a theoretical basis for investigating and protecting A. cerana.
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