Literature DB >> 19324645

Behavioural phase polyphenism in the Australian plague locust (Chortoicetes terminifera).

Lindsey J Gray1, Gregory A Sword, Michael L Anstey, Fiona J Clissold, Stephen J Simpson.   

Abstract

Swarming and the expression of phase polyphenism are defining characteristics of locust species. Increases in local population density mediate morphological, physiological and behavioural changes within individuals, which correlate with mass marching of juveniles in migratory bands and flying swarms of adults. The Australian plague locust (Chortoicetes terminifera) regularly forms migratory bands and swarms, but is claimed not to express phase polyphenism and has accordingly been used to argue against a central role for phase change in locust swarming. We demonstrate that juvenile C. terminifera express extreme density-dependent behavioural phase polyphenism. Isolated-reared juveniles are sedentary and repelled by conspecifics, whereas crowd-reared individuals are highly active and are attracted to conspecifics. In contrast to other major locust species, however, behavioural phase change does not accumulate across generations, but shifts completely within an individual's lifetime in response to a change in population density.

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Year:  2009        PMID: 19324645      PMCID: PMC2679915          DOI: 10.1098/rsbl.2008.0764

Source DB:  PubMed          Journal:  Biol Lett        ISSN: 1744-9561            Impact factor:   3.703


  8 in total

1.  The analysis of large-scale gene expression correlated to the phase changes of the migratory locust.

Authors:  Le Kang; Xiangyong Chen; Yan Zhou; Bowan Liu; Wei Zheng; Ruiqiang Li; Jun Wang; Jun Yu
Journal:  Proc Natl Acad Sci U S A       Date:  2004-12-09       Impact factor: 11.205

2.  A critique on the Phase Theory of locusts.

Authors:  K H L KEY
Journal:  Q Rev Biol       Date:  1950-12       Impact factor: 4.875

3.  Locusts.

Authors:  Stephen J Simpson; Gregory A Sword
Journal:  Curr Biol       Date:  2008-05-06       Impact factor: 10.834

4.  Ancient trans-Atlantic flight explains locust biogeography: molecular phylogenetics of Schistocerca.

Authors:  N R Lovejoy; S P Mullen; G A Sword; R F Chapman; R G Harrison
Journal:  Proc Biol Sci       Date:  2006-04-07       Impact factor: 5.349

5.  Swarm formation in the desert locust Schistocerca gregaria: isolation and NMR analysis of the primary maternal gregarizing agent.

Authors:  Gabriel A Miller; M Saiful Islam; Timothy D W Claridge; Tim Dodgson; Stephen J Simpson
Journal:  J Exp Biol       Date:  2008-02       Impact factor: 3.312

6.  Collective motion and cannibalism in locust migratory bands.

Authors:  Sepideh Bazazi; Jerome Buhl; Joseph J Hale; Michael L Anstey; Gregory A Sword; Stephen J Simpson; Iain D Couzin
Journal:  Curr Biol       Date:  2008-05-08       Impact factor: 10.834

7.  Nutritional control of reproductive status in honeybees via DNA methylation.

Authors:  R Kucharski; J Maleszka; S Foret; R Maleszka
Journal:  Science       Date:  2008-03-13       Impact factor: 47.728

8.  LocustDB: a relational database for the transcriptome and biology of the migratory locust (Locusta migratoria).

Authors:  Zongyuan Ma; Jun Yu; Le Kang
Journal:  BMC Genomics       Date:  2006-01-21       Impact factor: 3.969

  8 in total
  9 in total

1.  Challenges to assessing connectivity between massive populations of the Australian plague locust.

Authors:  Marie-Pierre Chapuis; Julie-Anne M Popple; Karine Berthier; Stephen J Simpson; Edward Deveson; Peter Spurgin; Martin J Steinbauer; Gregory A Sword
Journal:  Proc Biol Sci       Date:  2011-03-09       Impact factor: 5.349

2.  Significance of DopEcR, a G-protein coupled dopamine/ecdysteroid receptor, in physiological and behavioral response to stressors.

Authors:  Emily Petruccelli; Arianna Lark; James A Mrkvicka; Toshihiro Kitamoto
Journal:  J Neurogenet       Date:  2020-01-20       Impact factor: 1.250

3.  Assessment and validation of a suite of reverse transcription-quantitative PCR reference genes for analyses of density-dependent behavioural plasticity in the Australian plague locust.

Authors:  Marie-Pierre Chapuis; Donya Tohidi-Esfahani; Tim Dodgson; Laurence Blondin; Fleur Ponton; Darron Cullen; Stephen J Simpson; Gregory A Sword
Journal:  BMC Mol Biol       Date:  2011-02-16       Impact factor: 2.946

4.  CSP and takeout genes modulate the switch between attraction and repulsion during behavioral phase change in the migratory locust.

Authors:  Wei Guo; Xianhui Wang; Zongyuan Ma; Liang Xue; Jingyao Han; Dan Yu; Le Kang
Journal:  PLoS Genet       Date:  2011-02-03       Impact factor: 5.917

5.  Evidence for widespread genomic methylation in the migratory locust, Locusta migratoria (Orthoptera: Acrididae).

Authors:  Katie L Robinson; Donya Tohidi-Esfahani; Nathan Lo; Stephen J Simpson; Gregory A Sword
Journal:  PLoS One       Date:  2011-12-05       Impact factor: 3.240

6.  Rapid behavioural gregarization in the desert locust, Schistocerca gregaria entails synchronous changes in both activity and attraction to conspecifics.

Authors:  Stephen M Rogers; Darron A Cullen; Michael L Anstey; Malcolm Burrows; Emma Despland; Tim Dodgson; Tom Matheson; Swidbert R Ott; Katja Stettin; Gregory A Sword; Stephen J Simpson
Journal:  J Insect Physiol       Date:  2014-04-21       Impact factor: 2.354

7.  Agent-based and continuous models of hopper bands for the Australian plague locust: How resource consumption mediates pulse formation and geometry.

Authors:  Andrew J Bernoff; Michael Culshaw-Maurer; Rebecca A Everett; Maryann E Hohn; W Christopher Strickland; Jasper Weinburd
Journal:  PLoS Comput Biol       Date:  2020-05-04       Impact factor: 4.475

8.  Locust dynamics: behavioral phase change and swarming.

Authors:  Chad M Topaz; Maria R D'Orsogna; Leah Edelstein-Keshet; Andrew J Bernoff
Journal:  PLoS Comput Biol       Date:  2012-08-16       Impact factor: 4.475

9.  Regressions Fit for Purpose: Models of Locust Phase State Must Not Conflate Morphology With Behavior.

Authors:  Swidbert R Ott
Journal:  Front Behav Neurosci       Date:  2018-07-24       Impact factor: 3.558

  9 in total

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