Literature DB >> 27312263

Specialized morphology corresponds to a generalist diet: linking form and function in smashing mantis shrimp crustaceans.

Maya S deVries1,2, Brian C Stock3, John H Christy4, Gregory R Goldsmith5,6, Todd E Dawson5.   

Abstract

Many animals are considered to be specialists because they have feeding structures that are fine-tuned for consuming specific prey. For example, "smasher" mantis shrimp have highly specialized predatory appendages that generate forceful strikes to break apart hard-shelled prey. Anecdotal observations suggest, however, that the diet of smashers may include soft-bodied prey as well. Our goal was to examine the diet breadth of the smasher mantis shrimp, Neogonodactylus bredini, to determine whether it has a narrow diet of hard-shelled prey. We combined studies of prey abundance, feeding behavior, and stable isotope analyses of diet in both seagrass and coral rubble to determine if N. bredini's diet was consistent across different habitat types. The abundances of hard-shelled and soft-bodied prey varied between habitats. In feeding experiments, N. bredini consumed both prey types. N. bredini consumed a range of different prey in the field as well and, unexpectedly, the stable isotope analysis demonstrated that soft-bodied prey comprised a large proportion (29-53 %) of the diet in both habitats. Using a Bayesian mixing model framework (MixSIAR), we found that this result held even when we used uninformative, or generalist, priors and informative priors reflecting a specialist diet on hard-shelled prey and prey abundances in the field. Thus, contrary to expectation, the specialized feeding morphology of N. bredini corresponds to a broad diet of both hard-shelled and soft-bodied prey. Using multiple lines of study to describe the natural diets of other presumed specialists may demonstrate that specialized morphology often broadens rather than narrows diet breadth.

Entities:  

Keywords:  Bayesian mixing model; Feeding ecology; Raptorial appendage; Stable isotopes; Stomatopoda

Mesh:

Year:  2016        PMID: 27312263     DOI: 10.1007/s00442-016-3667-5

Source DB:  PubMed          Journal:  Oecologia        ISSN: 0029-8549            Impact factor:   3.225


  41 in total

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Journal:  Science       Date:  2012-06-08       Impact factor: 47.728

2.  Efficient capture of natural history data reveals prey conservatism of cryptic termite predators.

Authors:  Eric R L Gordon; Christiane Weirauch
Journal:  Mol Phylogenet Evol       Date:  2015-08-24       Impact factor: 4.286

3.  Exploring the nature of ecological specialization in a coral reef fish community: morphology, diet and foraging microhabitat use.

Authors:  Simon J Brandl; William D Robbins; David R Bellwood
Journal:  Proc Biol Sci       Date:  2015-09-22       Impact factor: 5.349

4.  Incorporating uncertainty and prior information into stable isotope mixing models.

Authors:  Jonathan W Moore; Brice X Semmens
Journal:  Ecol Lett       Date:  2008-02-20       Impact factor: 9.492

5.  Digestive capacity predicts diet diversity in Neotropical frugivorous bats.

Authors:  Romeo A Saldaña-Vázquez; Eduardo Ruiz-Sanchez; Leonel Herrera-Alsina; Jorge E Schondube
Journal:  J Anim Ecol       Date:  2015-06-06       Impact factor: 5.091

6.  Ecomorphology of the moray bite: relationship between dietary extremes and morphological diversity.

Authors:  Rita S Mehta
Journal:  Physiol Biochem Zool       Date:  2009 Jan-Feb       Impact factor: 2.247

7.  Biomechanics: deadly strike mechanism of a mantis shrimp.

Authors:  S N Patek; W L Korff; R L Caldwell
Journal:  Nature       Date:  2004-04-22       Impact factor: 49.962

8.  Strike mechanics of an ambush predator: the spearing mantis shrimp.

Authors:  M S deVries; E A K Murphy; S N Patek
Journal:  J Exp Biol       Date:  2012-12-15       Impact factor: 3.312

9.  Searching for the true diet of marine predators: incorporating Bayesian priors into stable isotope mixing models.

Authors:  André Chiaradia; Manuela G Forero; Julie C McInnes; Francisco Ramírez
Journal:  PLoS One       Date:  2014-03-25       Impact factor: 3.240

10.  Bias in diet determination: incorporating traditional methods in Bayesian mixing models.

Authors:  Valentina Franco-Trecu; Massimiliano Drago; Federico G Riet-Sapriza; Andrew Parnell; Rosina Frau; Pablo Inchausti
Journal:  PLoS One       Date:  2013-11-05       Impact factor: 3.240

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  8 in total

1.  The role of feeding morphology and competition in governing the diet breadth of sympatric stomatopod crustaceans.

Authors:  Maya S deVries
Journal:  Biol Lett       Date:  2017-04       Impact factor: 3.703

2.  Individual and population dietary specialization decline in fin whales during a period of ecosystem shift.

Authors:  Cabrol Jory; Véronique Lesage; Alexandra Leclerc; Janie Giard; Sara Iverson; Martine Bérubé; Robert Michaud; Christian Nozais
Journal:  Sci Rep       Date:  2021-08-25       Impact factor: 4.996

3.  Stress physiology and weapon integrity of intertidal mantis shrimp under future ocean conditions.

Authors:  Maya S deVries; Summer J Webb; Jenny Tu; Esther Cory; Victoria Morgan; Robert L Sah; Dimitri D Deheyn; Jennifer R A Taylor
Journal:  Sci Rep       Date:  2016-12-15       Impact factor: 4.379

4.  Analyzing mixing systems using a new generation of Bayesian tracer mixing models.

Authors:  Brian C Stock; Andrew L Jackson; Eric J Ward; Andrew C Parnell; Donald L Phillips; Brice X Semmens
Journal:  PeerJ       Date:  2018-06-21       Impact factor: 2.984

5.  Coastal complexity: Ancient human diets inferred from Bayesian stable isotope mixing models and a primate analogue.

Authors:  Matthew C Lewis; Judith C Sealy
Journal:  PLoS One       Date:  2018-12-20       Impact factor: 3.240

6.  Differences in signal contrast and camouflage among different colour variations of a stomatopod crustacean, Neogonodactylus oerstedii.

Authors:  Amanda M Franklin; Justin Marshall; Adina D Feinstein; Michael J Bok; Anya D Byrd; Sara M Lewis
Journal:  Sci Rep       Date:  2020-01-27       Impact factor: 4.379

7.  Mantis shrimp identify an object by its shape rather than its color during visual recognition.

Authors:  Rickesh N Patel; Veniamin Khil; Laylo Abdurahmonova; Holland Driscoll; Sarina Patel; Olivia Pettyjohn-Robin; Ahmad Shah; Tamar Goldwasser; Benjamin Sparklin; Thomas W Cronin
Journal:  J Exp Biol       Date:  2021-04-23       Impact factor: 3.312

8.  Community size structure varies with predator-prey size relationships and temperature across Australian reefs.

Authors:  Amy Rose Coghlan; Julia L Blanchard; Freddie J Heather; Rick D Stuart-Smith; Graham J Edgar; Asta Audzijonyte
Journal:  Ecol Evol       Date:  2022-04-07       Impact factor: 2.912

  8 in total

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