Literature DB >> 26260241

Proteome Analysis Unravels Mechanism Underling the Embryogenesis of the Honeybee Drone and Its Divergence with the Worker (Apis mellifera lingustica).

Yu Fang1, Mao Feng1, Bin Han1, Yuping Qi1, Han Hu1, Pei Fan1, Xinmei Huo1, Lifeng Meng1, Jianke Li1.   

Abstract

The worker and drone bees each contain a separate diploid and haploid genetic makeup, respectively. Mechanisms regulating the embryogenesis of the drone and its mechanistic difference with the worker are still poorly understood. The proteomes of the two embryos at three time-points throughout development were analyzed by applying mass spectrometry-based proteomics. We identified 2788 and 2840 proteins in the worker and drone embryos, respectively. The age-dependent proteome driving the drone embryogenesis generally follows the worker's. The two embryos however evolve a distinct proteome setting to prime their respective embryogenesis. The strongly expressed proteins and pathways related to transcriptional-translational machinery and morphogenesis at 24 h drone embryo relative to the worker, illustrating the earlier occurrence of morphogenesis in the drone than worker. These morphogenesis differences remain through to the middle-late stage in the two embryos. The two embryos employ distinct antioxidant mechanisms coinciding with the temporal-difference organogenesis. The drone embryo's strongly expressed cytoskeletal proteins signify key roles to match its large body size. The RNAi induced knockdown of the ribosomal protein offers evidence for the functional investigation of gene regulating of honeybee embryogenesis. The data significantly expand novel regulatory mechanisms governing the embryogenesis, which is potentially important for honeybee and other insects.

Entities:  

Keywords:  drone; embryo; honeybee; proteome; worker

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Year:  2015        PMID: 26260241     DOI: 10.1021/acs.jproteome.5b00625

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  7 in total

1.  Proteomics Reveals the Molecular Underpinnings of Stronger Learning and Memory in Eastern Compared to Western Bees.

Authors:  Lifeng Meng; Xinmei Huo; Mao Feng; Yu Fang; Bin Han; Han Hu; Fan Wu; Jianke Li
Journal:  Mol Cell Proteomics       Date:  2017-11-29       Impact factor: 5.911

2.  Dynamic transcriptome landscape of Asian domestic honeybee (Apis cerana) embryonic development revealed by high-quality RNA sequencing.

Authors:  Xiaofen Hu; Li Ke; Zilong Wang; Zhijiang Zeng
Journal:  BMC Dev Biol       Date:  2018-04-13       Impact factor: 1.978

3.  In-depth Proteome of the Hypopharyngeal Glands of Honeybee Workers Reveals Highly Activated Protein and Energy Metabolism in Priming the Secretion of Royal Jelly.

Authors:  Han Hu; Gebreamlak Bezabih; Mao Feng; Qiaohong Wei; Xufeng Zhang; Fan Wu; Lifeng Meng; Yu Fang; Bin Han; Chuan Ma; Jianke Li
Journal:  Mol Cell Proteomics       Date:  2019-01-07       Impact factor: 5.911

Review 4.  The Emerging Proteomic Research Facilitates in-Depth Understanding of the Biology of Honeybees.

Authors:  Solomon Zewdu Altaye; Lifeng Meng; Yao Lu; Jianke Li
Journal:  Int J Mol Sci       Date:  2019-08-30       Impact factor: 5.923

5.  Quantitative proteomic analysis identified differentially expressed proteins with tail/rump fat deposition in Chinese thin- and fat-tailed lambs.

Authors:  Jilong Han; Tingting Guo; Yaojing Yue; Zengkui Lu; Jianbin Liu; Chao Yuan; Chune Niu; Min Yang; Bohui Yang
Journal:  PLoS One       Date:  2021-02-02       Impact factor: 3.240

6.  Revealing phosphorylation regulatory networks during embryogenesis of honey bee worker and drone (Apis mellifera).

Authors:  Beibei Ma; Chuan Ma; Jianke Li; Yu Fang
Journal:  Front Cell Dev Biol       Date:  2022-09-26

7.  Functional and Proteomic Investigations Reveal Major Royal Jelly Protein 1 Associated with Anti-hypertension Activity in Mouse Vascular Smooth Muscle Cells.

Authors:  Pei Fan; Bin Han; Mao Feng; Yu Fang; Lan Zhang; Han Hu; Yue Hao; Yuping Qi; Xiaozhen Zhang; Jianke Li
Journal:  Sci Rep       Date:  2016-07-22       Impact factor: 4.379

  7 in total

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