Calcium ions in the aquatic environment drive planarians to food.

Environment-responsive behavior Environmental changes Feeding behavior Planarian Quantitative behavioristics Responsive sensitivity

Journal

Zoological letters
ISSN: 2056-306X
Titre abrégé: Zoological Lett
Pays: England
ID NLM: 101664800

Informations de publication

Date de publication:
2019
Historique:
received: 25 05 2019
accepted: 21 10 2019
entrez: 14 11 2019
pubmed: 14 11 2019
medline: 14 11 2019
Statut: epublish

Résumé

Even subtle changes in environmental factors can exert behavioral effects on creatures, which may alter interspecific interactions and eventually affect the ecosystem. However, how changes in environmental factors impact complex behaviors regulated by neural processes is largely unknown. The freshwater planarian Here we found that feeding behavior was suppressed when the concentration of ions in the breeding water was low, while other behaviors were unaffected, resulting in differences in population size. Notably, the decline in feeding behavior was reversed in an ion-concentration-dependent manner soon after the planarians were moved to ion-containing water, which suggests that ions in environmental water rapidly promote feeding behavior in planarians. Moreover, the concentration of ions in the environmental water affected the feeding behavior by modulating the sensitivity of the response to foods. Finally, we found that calcium ions in the aquatic environment were required for the feeding behavior, and exposure to higher levels of calcium ions enhanced the feeding behavior, showing that there was a good correlation between the concentration of calcium ions and the responsiveness of planarians to foods. Environmental calcium ions are indispensable for and potentiate the activity level of the feeding behavior of planarians. Our findings suggest that the ions in the aquatic environment profoundly impact the growth and survival of aquatic animals via modulating their neural activities and behaviors.

Sections du résumé

BACKGROUND BACKGROUND
Even subtle changes in environmental factors can exert behavioral effects on creatures, which may alter interspecific interactions and eventually affect the ecosystem. However, how changes in environmental factors impact complex behaviors regulated by neural processes is largely unknown. The freshwater planarian
RESULTS RESULTS
Here we found that feeding behavior was suppressed when the concentration of ions in the breeding water was low, while other behaviors were unaffected, resulting in differences in population size. Notably, the decline in feeding behavior was reversed in an ion-concentration-dependent manner soon after the planarians were moved to ion-containing water, which suggests that ions in environmental water rapidly promote feeding behavior in planarians. Moreover, the concentration of ions in the environmental water affected the feeding behavior by modulating the sensitivity of the response to foods. Finally, we found that calcium ions in the aquatic environment were required for the feeding behavior, and exposure to higher levels of calcium ions enhanced the feeding behavior, showing that there was a good correlation between the concentration of calcium ions and the responsiveness of planarians to foods.
CONCLUSIONS CONCLUSIONS
Environmental calcium ions are indispensable for and potentiate the activity level of the feeding behavior of planarians. Our findings suggest that the ions in the aquatic environment profoundly impact the growth and survival of aquatic animals via modulating their neural activities and behaviors.

Identifiants

pubmed: 31720007
doi: 10.1186/s40851-019-0147-x
pii: 147
pmc: PMC6836377
doi:

Types de publication

Journal Article

Langues

eng

Pagination

31

Informations de copyright

© The Author(s). 2019.

Déclaration de conflit d'intérêts

Competing interestsThe authors declare no competing financial or non-financial Interests.

Références

Zoological Lett. 2018 Aug 29;4:24
pubmed: 30181897
Dev Growth Differ. 2010 Jan;52(1):27-41
pubmed: 20078652
Dev Growth Differ. 2018 Jan;60(1):76-81
pubmed: 29266402
Dev Growth Differ. 2007 Jun;49(5):383-94
pubmed: 17547648
PLoS One. 2014 Dec 10;9(12):e114708
pubmed: 25493551
Sci Adv. 2017 Jul 28;3(7):e1603025
pubmed: 28782018
Zoolog Sci. 1998 Jun 1;15(3):433-40
pubmed: 18466009
Eur J Neurosci. 2011 Sep;34(6):863-9
pubmed: 21929621
Dev Genes Evol. 2013 Mar;223(1-2):67-84
pubmed: 23138344
Biochem Biophys Res Commun. 1993 May 14;192(3):1395-402
pubmed: 8099480
Commun Biol. 2018 Sep 21;1:148
pubmed: 30272024
Annu Rev Cell Dev Biol. 2004;20:725-57
pubmed: 15473858
PLoS One. 2015 Nov 05;10(11):e0142214
pubmed: 26539715
J Physiol. 1958 Sep 23;143(2):369-79
pubmed: 13588561
Elife. 2019 Jan 04;8:null
pubmed: 30608231
Gene Expr Patterns. 2009 Apr;9(4):246-53
pubmed: 19174194
PLoS One. 2010 Dec 14;5(12):e15310
pubmed: 21179478
Proc Natl Acad Sci U S A. 2013 Jan 22;110(4):1363-8
pubmed: 23297191
Nat Neurosci. 2017 Dec;20(12):1686-1693
pubmed: 29184198
Zoolog Sci. 2005 May;22(5):535-46
pubmed: 15930826
Zoolog Sci. 2004 Mar;21(3):275-83
pubmed: 15056922
Behav Brain Res. 2002 Nov 15;136(2):545-53
pubmed: 12429417
Phys Biol. 2011 Apr;8(2):026003
pubmed: 21263170
Zoological Lett. 2015 Feb 01;1:7
pubmed: 26605052
Regeneration (Oxf). 2016 Mar 15;3(2):65-77
pubmed: 27499880
Behav Brain Res. 1998 Nov;96(1-2):115-24
pubmed: 9821548
J Exp Biol. 2017 Jul 15;220(Pt 14):2616-2625
pubmed: 28495872
Methods Mol Biol. 2018;1774:241-258
pubmed: 29916158
J Neurosci. 2014 Nov 19;34(47):15701-14
pubmed: 25411498
Mol Biol Cell. 2010 Nov 1;21(21):3669-79
pubmed: 20844081
Mol Biol Cell. 2019 Aug 1;30(17):2155-2170
pubmed: 31141462
Proc Natl Acad Sci U S A. 1983 Jul;80(13):4159-63
pubmed: 16593335
J Comp Physiol A Neuroethol Sens Neural Behav Physiol. 2003 Sep;189(9):675-84
pubmed: 12879351
Science. 2008 Nov 28;322(5906):1374-7
pubmed: 19039134
Dev Neurobiol. 2007 Jul;67(8):1059-78
pubmed: 17565705
Dev Growth Differ. 2018 Jun;60(5):260-277
pubmed: 29791965
Zoolog Sci. 2016 Jun;33(3):311-9
pubmed: 27268986
Neurochem Res. 2007 Sep;32(9):1511-29
pubmed: 17484052
Neurosci Lett. 1989 Aug 14;103(1):103-7
pubmed: 2506495

Auteurs

Masato Mori (M)

1Department of Life Science, Faculty of Science, Gakushuin University, 1-5-1 Mejiro, Toshima-ku, Tokyo, Japan.

Maria Narahashi (M)

1Department of Life Science, Faculty of Science, Gakushuin University, 1-5-1 Mejiro, Toshima-ku, Tokyo, Japan.

Tetsutaro Hayashi (T)

Laboratory for Bioinformatics Research, RIKEN Center for Biosystems Dynamics Research, 2-2-3 Minatojima-Minamimachi, Chuo-ku, Kobe, Japan.

Miyuki Ishida (M)

1Department of Life Science, Faculty of Science, Gakushuin University, 1-5-1 Mejiro, Toshima-ku, Tokyo, Japan.

Nobuyoshi Kumagai (N)

1Department of Life Science, Faculty of Science, Gakushuin University, 1-5-1 Mejiro, Toshima-ku, Tokyo, Japan.

Yuki Sato (Y)

1Department of Life Science, Faculty of Science, Gakushuin University, 1-5-1 Mejiro, Toshima-ku, Tokyo, Japan.
3Department of Biophysics, Graduate School of Science, Kyoto University, Kitashirakawa-Oiwake, Sakyo-ku, Kyoto, Japan.

Reza Bagherzadeh (R)

1Department of Life Science, Faculty of Science, Gakushuin University, 1-5-1 Mejiro, Toshima-ku, Tokyo, Japan.
4Department of Stem Cells and Developmental Biology, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, Banihashem, Tehran, Iran.
5Department of Developmental Biology, University of Science and Culture, Banihashem, Tehran, Iran.

Kiyokazu Agata (K)

1Department of Life Science, Faculty of Science, Gakushuin University, 1-5-1 Mejiro, Toshima-ku, Tokyo, Japan.
3Department of Biophysics, Graduate School of Science, Kyoto University, Kitashirakawa-Oiwake, Sakyo-ku, Kyoto, Japan.
6National Institute for Basic Biology, National Institutes of Natural Science, 38 Nishigonaka, Myodaiji, Okazaki, Japan.

Takeshi Inoue (T)

1Department of Life Science, Faculty of Science, Gakushuin University, 1-5-1 Mejiro, Toshima-ku, Tokyo, Japan.

Classifications MeSH