Literature DB >> 19179284

Quantitative peptidomics reveal brain peptide signatures of behavior.

Axel Brockmann1, Suresh P Annangudi, Timothy A Richmond, Seth A Ament, Fang Xie, Bruce R Southey, Sandra R Rodriguez-Zas, Gene E Robinson, Jonathan V Sweedler.   

Abstract

The honey bee genome predicts approximately 100 peptides from 36 prohormones, but the functions of many of these peptides are unknown. We used differential isotope labeling combined with mass spectrometric analysis to quantify approximately 50% of known bee brain peptides in the context of foraging, with 8 showing robust and dynamic regulation. Some showed differences in brain abundance as a function of experience; specifically, nectar and pollen collection led to quick changes in abundance. These changes were related to the act of food collection, not ingestion, because foragers bring food back to the hive for storage rather than eating it themselves. Other peptide differences in brain abundance were seen in bees that either flew to a nectar feeder or a pollen feeder, but did not yet collect any food. These differences likely reflect well-known predispositions of some bees to collect either nectar or pollen, but not both. Tachykinin, PBAN, and sNPF were among the peptides with the strongest changes in association with nectar and pollen foraging. These peptides are known to be involved in regulating food intake in solitary insects, suggesting an evolutionary connection between that behavior and social foraging. These results demonstrate that it is now possible to use quantitative peptidomics to help determine which brain peptides are bioactive and to elucidate their function in the regulation of behavior.

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Year:  2009        PMID: 19179284      PMCID: PMC2632711          DOI: 10.1073/pnas.0813021106

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  38 in total

Review 1.  Peptidomics: identification and quantification of endogenous peptides in neuroendocrine tissues.

Authors:  Lloyd D Fricker; Jihyeon Lim; Hui Pan; Fa-Yun Che
Journal:  Mass Spectrom Rev       Date:  2006 Mar-Apr       Impact factor: 10.946

2.  Perception of the pollen need by foragers in a honeybee colony.

Authors: 
Journal:  Anim Behav       Date:  2000-01       Impact factor: 2.844

3.  Octopamine influences honey bee foraging preference.

Authors:  Tugrul Giray; Alberto Galindo-Cardona; Devrim Oskay
Journal:  J Insect Physiol       Date:  2007-04-10       Impact factor: 2.354

4.  Development of sun compensation by honeybees: how partially experienced bees estimate the sun's course.

Authors:  F C Dyer; J A Dickinson
Journal:  Proc Natl Acad Sci U S A       Date:  1994-05-10       Impact factor: 11.205

5.  Quantitation of neuropeptides in Cpe(fat)/Cpe(fat) mice using differential isotopic tags and mass spectrometry.

Authors:  Fa-yun Che; Lloyd D Fricker
Journal:  Anal Chem       Date:  2002-07-01       Impact factor: 6.986

6.  Identification of a tachykinin-related neuropeptide from the honeybee brain using direct MALDI-TOF MS and its gene expression in worker, queen and drone heads.

Authors:  H Takeuchi; A Yasuda; Y Yasuda-Kamatani; T Kubo; T Nakajima
Journal:  Insect Mol Biol       Date:  2003-06       Impact factor: 3.585

7.  Insulin signaling is involved in the regulation of worker division of labor in honey bee colonies.

Authors:  Seth A Ament; Miguel Corona; Henry S Pollock; Gene E Robinson
Journal:  Proc Natl Acad Sci U S A       Date:  2008-03-12       Impact factor: 11.205

Review 8.  Evo-devo and the evolution of social behavior.

Authors:  Amy L Toth; Gene E Robinson
Journal:  Trends Genet       Date:  2007-05-16       Impact factor: 11.639

9.  Prediction of neuropeptide cleavage sites in insects.

Authors:  Bruce R Southey; Jonathan V Sweedler; Sandra L Rodriguez-Zas
Journal:  Bioinformatics       Date:  2008-02-05       Impact factor: 6.937

10.  Neuromedin U and its putative Drosophila homolog hugin.

Authors:  Christoph Melcher; Rüdiger Bader; Steffen Walther; Oleg Simakov; Michael J Pankratz
Journal:  PLoS Biol       Date:  2006-03-14       Impact factor: 8.029

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  46 in total

1.  Genomics: moving behavioural ecology beyond the phenotypic gambit.

Authors:  Clare C Rittschof; Gene E Robinson
Journal:  Anim Behav       Date:  2014-06-01       Impact factor: 2.844

2.  Molecular organization of Drosophila neuroendocrine cells by Dimmed.

Authors:  Dongkook Park; Tarik Hadžić; Ping Yin; Jannette Rusch; Katharine Abruzzi; Michael Rosbash; James B Skeath; Satchidananda Panda; Jonathan V Sweedler; Paul H Taghert
Journal:  Curr Biol       Date:  2011-09-01       Impact factor: 10.834

Review 3.  Recent advances in quantitative neuroproteomics.

Authors:  George E Craft; Anshu Chen; Angus C Nairn
Journal:  Methods       Date:  2013-04-25       Impact factor: 3.608

Review 4.  Deorphanization of novel peptides and their receptors.

Authors:  Akihiko Ozawa; Iris Lindberg; Bryan Roth; Wesley K Kroeze
Journal:  AAPS J       Date:  2010-05-06       Impact factor: 4.009

5.  Comparative Neuropeptidomic Analysis of Food Intake via a Multi-faceted Mass Spectrometric Approach.

Authors:  Ruibing Chen; Limei Hui; Stephanie S Cape; Junhua Wang; Lingjun Li
Journal:  ACS Chem Neurosci       Date:  2010-03-17       Impact factor: 4.418

Review 6.  Profiling protease activities by dynamic proteomics workflows.

Authors:  Diana Klingler; Markus Hardt
Journal:  Proteomics       Date:  2012-01-23       Impact factor: 3.984

7.  Neuropeptide Y-like signalling and nutritionally mediated gene expression and behaviour in the honey bee.

Authors:  S A Ament; R A Velarde; M H Kolodkin; D Moyse; G E Robinson
Journal:  Insect Mol Biol       Date:  2011-02-23       Impact factor: 3.585

Review 8.  Hormone-like conopeptides - new tools for pharmaceutical design.

Authors:  Ashlin Turner; Quentin Kaas; David J Craik
Journal:  RSC Med Chem       Date:  2020-09-24

9.  Quantitative peptidomics for discovery of circadian-related peptides from the rat suprachiasmatic nucleus.

Authors:  Ji Eun Lee; Leonid Zamdborg; Bruce R Southey; Norman Atkins; Jennifer W Mitchell; Mingxi Li; Martha U Gillette; Neil L Kelleher; Jonathan V Sweedler
Journal:  J Proteome Res       Date:  2013-01-11       Impact factor: 4.466

10.  Mass spectrometric evaluation of neuropeptidomic profiles upon heat stabilization treatment of neuroendocrine tissues in crustaceans.

Authors:  Robert M Sturm; Tyler Greer; Nicole Woodards; Erin Gemperline; Lingjun Li
Journal:  J Proteome Res       Date:  2013-01-02       Impact factor: 4.466

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