Literature DB >> 26384081

Phosphoproteomic Analysis of Protein Phosphorylation Networks in the Hypopharyngeal Gland of Honeybee Workers (Apis mellifera ligustica).

Yuping Qi1, Pei Fan1,2, Yue Hao1, Bin Han1, Yu Fang1, Mao Feng1, Ziyou Cui1,3, Jianke Li1.   

Abstract

The hypopharyngeal gland (HG) in honeybee workers changes functions according to physiological age in the bee colony from producing royal jelly (RJ) in nurse bees to digestive enzymes in foragers. The same set of secretory cells expresses different genes or proteins to create these age-dependent changes; however, it is unknown precisely how the phosphorylation network regulates physiological differences across the development of the adult worker HG. We employed high-accuracy mass-spectrometry-based proteomics to survey phosphoproteome changes in the newly emerged, nurse, and forager bees. Overall, 941, 1322, and 1196 phosphorylation sites matching 1007, 1353, and 1199 phosphopeptides from 549, 720, and 698 phosphoproteins were identified in the three ages of the HG, respectively. Specialized, interconnected phosphorylation networks within each age were found by comparing protein abundance and phosphorylation levels. This illustrates that many proteins are regulated by phosphorylation independent of their expression levels. Furthermore, proteins in key biological processes and pathways were dynamically phosphorylated with age development, including the centrosome cycle, mitotic spindle elongation, macromolecular complex disassembly, and ribosome, indicating that phosphorylation tunes protein activity to optimize cellular behavior of the HG over time. Moreover, complementary protein and phosphoprotein expression is required to support the unique physiology of secretory activity in the HG. This reported data set of the honeybee phosphoproteome significantly improves our understanding of a range of regulatory mechanisms controlling a variety of cellular processes and will serve as a valuable resource for those studying the honeybee and other insects.

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Keywords:  honeybee; hypopharyngeal gland; phosphoproteome

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Year:  2015        PMID: 26384081     DOI: 10.1021/acs.jproteome.5b00530

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.  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 3.  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

Review 4.  Novel Insight Into the Development and Function of Hypopharyngeal Glands in Honey Bees.

Authors:  Saboor Ahmad; Shahmshad Ahmed Khan; Khalid Ali Khan; Jianke Li
Journal:  Front Physiol       Date:  2021-01-22       Impact factor: 4.566

5.  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

6.  Noncommutative Biology: Sequential Regulation of Complex Networks.

Authors:  William Letsou; Long Cai
Journal:  PLoS Comput Biol       Date:  2016-08-25       Impact factor: 4.475

7.  Phosphoproteome Analysis Reveals Phosphorylation Underpinnings in the Brains of Nurse and Forager Honeybees (Apis mellifera).

Authors:  Gebreamlak Bezabih; Han Cheng; Bin Han; Mao Feng; Yu Xue; Han Hu; Jianke Li
Journal:  Sci Rep       Date:  2017-05-16       Impact factor: 4.379

  7 in total

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