Literature DB >> 22181811

Worker honeybee brain proteome.

Liudy G Hernández1, Bingwen Lu, Gabriel C N da Cruz, Luciana K Calábria, Natalia F Martins, Roberto Togawa, Foued S Espindola, John R Yates, Ricardo B Cunha, Marcelo V de Sousa.   

Abstract

A large-scale mapping of the worker honeybee brain proteome was achieved by MudPIT. We identified 2742 proteins from forager and nurse honeybee brain samples; 17% of the total proteins were found to be differentially expressed by spectral count sampling statistics and a G-test. Sequences were compared with the EuKaryotic Orthologous Groups (KOG) catalog set using BLASTX and then categorized into the major KOG categories of most similar sequences. According to this categorization, nurse brain showed increased expression of proteins implicated in translation, ribosomal structure, and biogenesis (14.5%) compared with forager (1.8%). Experienced foragers overexpressed proteins involved in energy production and conversion, showing an extensive difference in this set of proteins (17%) in relation to the nurse subcaste (0.6%). Examples of proteins selectively expressed in each subcaste were analyzed. A comparison between these MudPIT experiments and previous 2-DE experiments revealed nine coincident proteins differentially expressed in both methodologies.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22181811      PMCID: PMC3321609          DOI: 10.1021/pr2007818

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


  64 in total

1.  Automatic quality assessment of peptide tandem mass spectra.

Authors:  Marshall Bern; David Goldberg; W Hayes McDonald; John R Yates
Journal:  Bioinformatics       Date:  2004-08-04       Impact factor: 6.937

2.  Identification of proteins whose expression is up- or down-regulated in the mushroom bodies in the honeybee brain using proteomics.

Authors:  Yuko Uno; Tomoko Fujiyuki; Mizue Morioka; Hideaki Takeuchi; Takeo Kubo
Journal:  FEBS Lett       Date:  2006-12-12       Impact factor: 4.124

3.  Reproductive protein protects functionally sterile honey bee workers from oxidative stress.

Authors:  Siri-Christine Seehuus; Kari Norberg; Ulrike Gimsa; Trygve Krekling; Gro V Amdam
Journal:  Proc Natl Acad Sci U S A       Date:  2006-01-17       Impact factor: 11.205

Review 4.  Learning and memory in honeybees: from behavior to neural substrates.

Authors:  R Menzel; U Muller
Journal:  Annu Rev Neurosci       Date:  1996       Impact factor: 12.449

5.  Expression of amylase and glucose oxidase in the hypopharyngeal gland with an age-dependent role change of the worker honeybee (Apis mellifera L.).

Authors:  K Ohashi; S Natori; T Kubo
Journal:  Eur J Biochem       Date:  1999-10-01

6.  Gene expression of ecdysteroid-regulated gene E74 of the honeybee in ovary and brain.

Authors:  R K Paul; H Takeuchi; Y Matsuo; T Kubo
Journal:  Insect Mol Biol       Date:  2005-01       Impact factor: 3.585

Review 7.  Social behavior and comparative genomics: new genes or new gene regulation?

Authors:  G E Robinson; Y Ben-Shahar
Journal:  Genes Brain Behav       Date:  2002-11       Impact factor: 3.449

8.  Plasticity and robustness of protein patterns during reversible development in the honey bee (Apis mellifera).

Authors:  Florian Wolschin; Gro V Amdam
Journal:  Anal Bioanal Chem       Date:  2007-09-06       Impact factor: 4.142

9.  Nuclear receptors of the honey bee: annotation and expression in the adult brain.

Authors:  Rodrigo A Velarde; Gene E Robinson; Susan E Fahrbach
Journal:  Insect Mol Biol       Date:  2006-10       Impact factor: 3.585

10.  Evaluation of differential gene expression during behavioral development in the honeybee using microarrays and northern blots.

Authors:  Robert Kucharski; Ryszard Maleszka
Journal:  Genome Biol       Date:  2002-01-14       Impact factor: 13.583

View more
  19 in total

1.  In-depth proteomics characterization of embryogenesis of the honey bee worker (Apis mellifera ligustica).

Authors:  Yu Fang; Mao Feng; Bin Han; Xiaoshan Lu; Haitham Ramadan; Jianke Li
Journal:  Mol Cell Proteomics       Date:  2014-06-03       Impact factor: 5.911

2.  Modification of the brain proteome of Africanized honeybees (Apis mellifera) exposed to a sub-lethal doses of the insecticide fipronil.

Authors:  T C Roat; J R A dos Santos-Pinto; L D Dos Santos; K S Santos; O Malaspina; M S Palma
Journal:  Ecotoxicology       Date:  2014-08-20       Impact factor: 2.823

3.  The effects of the neonicotinoid imidacloprid on gene expression and DNA methylation in the buff-tailed bumblebee Bombus terrestris.

Authors:  P S A Bebane; B J Hunt; M Pegoraro; A R C Jones; H Marshall; E Rosato; E B Mallon
Journal:  Proc Biol Sci       Date:  2019-06-19       Impact factor: 5.349

4.  Brain proteomics of Anopheles gambiae.

Authors:  Sutopa B Dwivedi; Babylakshmi Muthusamy; Praveen Kumar; Min-Sik Kim; Raja Sekhar Nirujogi; Derese Getnet; Priscilla Ahiakonu; Gourav De; Bipin Nair; Harsha Gowda; T S Keshava Prasad; Nirbhay Kumar; Akhilesh Pandey; Mobolaji Okulate
Journal:  OMICS       Date:  2014-06-17

5.  Combined transcriptome and proteome profiling reveals specific molecular brain signatures for sex, maturation and circalunar clock phase.

Authors:  Sven Schenk; Stephanie C Bannister; Fritz J Sedlazeck; Dorothea Anrather; Bui Quang Minh; Andrea Bileck; Markus Hartl; Arndt von Haeseler; Christopher Gerner; Florian Raible; Kristin Tessmar-Raible
Journal:  Elife       Date:  2019-02-15       Impact factor: 8.140

6.  Gel-based proteomics in plants: time to move on from the tradition.

Authors:  Arun K Anguraj Vadivel
Journal:  Front Plant Sci       Date:  2015-05-27       Impact factor: 5.753

7.  Royal jelly-like protein localization reveals differences in hypopharyngeal glands buildup and conserved expression pattern in brains of bumblebees and honeybees.

Authors:  Stefan Albert; Johannes Spaethe; Kornelia Grübel; Wolfgang Rössler
Journal:  Biol Open       Date:  2014-04-15       Impact factor: 2.422

8.  A comparison of digital gene expression profiling and methyl DNA immunoprecipitation as methods for gene discovery in honeybee (Apis mellifera) behavioural genomic analyses.

Authors:  Cui Guan; Andrew B Barron; Xu Jiang He; Zi Long Wang; Wei Yu Yan; Zhi Jiang Zeng
Journal:  PLoS One       Date:  2013-09-09       Impact factor: 3.240

9.  More than royal food - Major royal jelly protein genes in sexuals and workers of the honeybee Apis mellifera.

Authors:  Anja Buttstedt; Robin Fa Moritz; Silvio Erler
Journal:  Front Zool       Date:  2013-11-27       Impact factor: 3.172

10.  Whole-genome resequencing of honeybee drones to detect genomic selection in a population managed for royal jelly.

Authors:  David Wragg; Maria Marti-Marimon; Benjamin Basso; Jean-Pierre Bidanel; Emmanuelle Labarthe; Olivier Bouchez; Yves Le Conte; Alain Vignal
Journal:  Sci Rep       Date:  2016-06-03       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.