Evidence map›Paper›PMID 36799935›Full record

ArticleGenome biology and evolution2023

Population Structure, Demographic History, and Adaptation of Giant Honeybees in China Revealed by Population Genomic Data.

Lianfei Cao, Zhijun Dai, Hongwei Tan, Huoqing Zheng, Yun Wang, Jie Chen, Haiou Kuang, Rebecca A Chong, Minjin Han, Fuliang Hu and 3 more

Abstract read
In one paragraph

Article in Genome biology and evolution, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

13 authors.

Lianfei CaoInstitute of Animal Husbandry and Veterinary Science, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.
Zhijun DaiSchool of Life Sciences, Chongqing University, Chongqing, China.
Hongwei TanSchool of Life Sciences, Chongqing University, Chongqing, China.
Huoqing ZhengCollege of Animal Sciences, Zhejiang University, Hangzhou, China.
Yun WangSchool of Life Sciences, Chongqing University, Chongqing, China.
Jie ChenSchool of Life Sciences, Chongqing University, Chongqing, China.
Haiou KuangFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, China.
Rebecca A ChongSchool of Life Sciences, University of Hawai'i at Mānoa, Honolulu, Hawai'i, USA.ORCID 0000-0001-6404-4991
Minjin HanState Key Laboratory of Silkworm Genome Biology, Southwest University, Chongqing, China.ORCID 0000-0003-1784-8676
Fuliang HuCollege of Animal Sciences, Zhejiang University, Hangzhou, China.
Wei SunSchool of Life Sciences, Chongqing University, Chongqing, China.
Cheng SunCollege of Life Sciences, Capital Normal University, Beijing, China.
Ze ZhangSchool of Life Sciences, Chongqing University, Chongqing, China.ORCID 0000-0001-6164-7930

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There have been many population-based genomic studies on human-managed honeybees (Apis mellifera and Apis cerana), but there has been a notable lack of analysis with regard to wild honeybees, particularly in relation to their evolutionary history. Nevertheless, giant honeybees have been found to occupy distinct habitats and display remarkable characteristics, which are attracting an increased amount of attention. In this study, we de novo sequenced and then assembled the draft genome sequence of the Himalayan giant honeybee, Apis laboriosa. Phylogenetic analysis based on genomic information indicated that A. laboriosa and its tropical sister species Apis dorsata diverged ∼2.61 Ma, which supports the speciation hypothesis that links A. laboriosa to geological changes throughout history. Furthermore, we re-sequenced A. laboriosa and A. dorsata samples from five and six regions, respectively, across their population ranges in China. These analyses highlighted major genetic differences for Tibetan A. laboriosa as well as the Hainan Island A. dorsata. The demographic history of most giant honeybee populations has mirrored glacial cycles. More importantly, contrary to what has occurred among human-managed honeybees, the demographic history of these two wild honeybee species indicates a rapid decline in effective population size in the recent past, reflecting their differences in evolutionary histories. Several genes were found to be subject to selection, which may help giant honeybees to adapt to specific local conditions. In summary, our study sheds light on the evolutionary and adaptational characteristics of two wild giant honeybee species, which was useful for giant honeybee conservation.

Indexed as

Adaptation, PhysiologicalMetagenomicsAnimalsBeesChinaDemographyHumansPhylogenyadaptive evolutionApis dorsataApis laboriosademographic historygiant honeybeepopulation genomics

Identifiers

PMID36799935
PMCPMC9991589

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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.