Publication Repository

Learning by Association in Plants

Show simple item record

dc.contributor Univ Oxford
dc.contributor Ctr Evolutionary Biol
dc.contributor University Of Zurich
dc.contributor University Of Western Australia
dc.contributor Dept Physiol Anat & Genet
dc.contributor Univ Western Australia
dc.contributor Inst Pharmacol & Toxicol
dc.contributor Univ Zurich
dc.contributor Australian Inst Marine Sci
dc.contributor University Of Oxford
dc.contributor Oceans Inst
dc.contributor Sch Anim Biol
dc.contributor Australian Institute Of Marine Science DEPCZYNSKI, MARTIAL GAGLIANO, MONICA VYAZOVSKIY, VLADYSLAV V. BORBELY, ALEXANDER A. GRIMONPREZ, MAVRA 2017-01-13T00:49:38Z 2017-03-21T01:05:03Z 2017-03-21T01:05:03Z 2019-07-08T02:20:48Z 2017-03-21T01:05:03Z 2017-01-13T00:49:38Z 2017-01-13T00:49:38Z 2019-07-08T02:20:48Z 2016-12-02
dc.identifier.citation Gagliano M, Vyazovskiy VV, Borbely AA, Grimonprez M, Depczynski M (2016) Learning by association in plants. Scientific Reports 6: 38427 en_US
dc.identifier.issn 2045-2322
dc.description.abstract In complex and ever-changing environments, resources such as food are often scarce and unevenly distributed in space and time. Therefore, utilizing external cues to locate and remember high-quality sources allows more efficient foraging, thus increasing chances for survival. Associations between environmental cues and food are readily formed because of the tangible benefits they confer. While examples of the key role they play in shaping foraging behaviours are widespread in the animal world, the possibility that plants are also able to acquire learned associations to guide their foraging behaviour has never been demonstrated. Here we show that this type of learning occurs in the garden pea, Pisum sativum. By using a Y-maze task, we show that the position of a neutral cue, predicting the location of a light source, affected the direction of plant growth. This learned behaviour prevailed over innate phototropism. Notably, learning was successful only when it occurred during the subjective day, suggesting that behavioural performance is regulated by metabolic demands. Our results show that associative learning is an essential component of plant behaviour. We conclude that associative learning represents a universal adaptive mechanism shared by both animals and plants.
dc.description.sponsorship We thank C. Cirelli and J. Tomkins for early discussions on aspects of the study, C. Silvano, R. Creasy, W. Piasini and P. Tallai for technical assistance, B. Radford for statistical advice, L. Simmons for commenting on an earlier draft and S. Whalan and 3 anonymous reviewers for their constructive feedback. This research was supported by grants from the University of Western Australia and the Australian Research Council to M. Gagliano.
dc.description.uri en_US
dc.language English
dc.language.iso en en_US
dc.publisher Nature Publ en_US
dc.relation.ispartof Null
dc.rights Attribution 3.0 Australia *
dc.rights.uri *
dc.subject Behavior
dc.subject Science & Technology - Other Topics
dc.subject Clocks
dc.subject Multidisciplinary Sciences
dc.subject Cambrian Explosion
dc.subject Memory
dc.subject Reward Expectations
dc.title Learning by Association in Plants
dc.type journal article en_US
dc.identifier.doi 10.1038/srep38427
dc.identifier.wos WOS:000389085300001

Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

Attribution 3.0 Australia Except where otherwise noted, this item's license is described as Attribution 3.0 Australia

Search Publication


My Account