Evidence map›Paper›PMID 31730443›Full record

ArticleBMC genomics2019

Population genomics and morphological features underlying the adaptive evolution of the eastern honey bee (Apis cerana).

Li Yancan, Chao Tianle, Fan Yunhan, Lou Delong, Wang Guizhi

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. The complete mitochondrial genome ofFrontiers in genetics · 2025
    Article
  5. Investigations on Beekeeping and Breeding ofLife (Basel, Switzerland) · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Li YancanShandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, Shandong Agricultural University, 61 Daizong Street, Tai'an, 271018, Shandong Province, People's Republic of China.
Chao TianleShandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, Shandong Agricultural University, 61 Daizong Street, Tai'an, 271018, Shandong Province, People's Republic of China.
Fan YunhanShandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, Shandong Agricultural University, 61 Daizong Street, Tai'an, 271018, Shandong Province, People's Republic of China.
Lou DelongShandong Apiculture Breeding of Improved Varieties and Extension Center, 186 Wuma Street, Tai'an, 271000, Shandong Province, People's Republic of China.
Wang GuizhiShandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, Shandong Agricultural University, 61 Daizong Street, Tai'an, 271018, Shandong Province, People's Republic of China. wgz@sdau.edu.cn.

Funding

Shandong "Double Tops" Program No. SYL2017YSTD12Shandong Province Agricultural Variety Project No. 2016LZGC039Shandong Province Modern Agricultural Industry Technology System Bee Industry Innovation Team Breeding and Resource Protection Post Expert Project SDAIT-24-02
6 · The paper itself

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.

Indexed as

Genetics, PopulationGenome, InsectPhylogenyAdaptation, PhysiologicalAllelesAnimalsBayes TheoremBeesBiological EvolutionChinaDatasets as TopicGene FrequencyGenetic VariationPolymorphism, Single NucleotidePrincipal Component AnalysisApis ceranaApis melliferaGenetic differentiationGenomicsPopulation geneticsPopulation structureStandard morphometrics

Identifiers

PMID31730443
PMCPMC6858728

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.