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Hydrologic regimes as potential drivers of morphologic divergence in fish

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Abstract

Fishes often exhibit phenotypic divergence across gradients of abiotic and biotic selective pressures. In streams, many of the known selective pressures driving phenotypic differentiation are largely influenced by hydrologic regimes. Because flow regimes drive so many attributes of lotic systems, we hypothesized fish exhibit phenotypic divergence among streams with different flow regimes. We used a comparative field study to investigate the morphological divergence of Campostoma anomalom (central stonerollers) among streams characterized by highly variable, intermittent flow regimes and streams characterized by relatively stable, groundwater flow regimes. We also conducted a mesocosm experiment to compare the plastic effects of one component of flow regimes, water velocity, on morphology of fish from different flow regimes. We observed differences in shape between flow regimes likely driven by differences in allometric growth patterns. Although we observed differences in morphology across flow regimes in the field, C. anomalum did not exhibit morphologic plasticity in response to water velocity alone. This study contributes to the understanding of how complex environmental factors drive phenotypic divergence and may provide insight into the evolutionary consequences of disrupting natural hydrologic patterns, which are increasingly threatened by climate change and anthropogenic alterations.

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References

  • Adams DC, Collyer ML (2009) A general framework for the analysis of phenotypic trajectories in evolutionary studies. Evolution 63:1143–1154

    Article  PubMed  Google Scholar 

  • Adams DC, Otarola-Castillo E (2013) Geomorph: an R package for the collection and analysis of geometric morphometric shape data. Methods Ecol Evol 4:393–399

    Article  Google Scholar 

  • Blake RW (1983) Fish locomotion. Cambridge University Press, Cambridge

    Google Scholar 

  • Bradshaw AD (1965) Evolutionary significance of pheno-typic plasticity in plants. Adv Genet 13:115–155

    Google Scholar 

  • Brinsmead J, Fox MG (2002) Morphological variation between lake- and stream-dwelling rock bass and pumpkinseed populations. J Fish Biol 61:1619–1638

    Article  Google Scholar 

  • Bunn SE, Arthington AH (2002) Basic principles and ecological consequences of altered flow regimes for aquatic biodiversity. Environ Manag 30:492–507

    Article  Google Scholar 

  • Collyer MM, Adams DC (2013) Phenotypic trajectory analysis: comparison of shape change patterns in evolution and ecology: linear shape change associated with a continuous variable. Hystrix 24:75–83

    Google Scholar 

  • De Jong G (1995) Phenotypic plasticity as a product of selection in a variable environment. Am Nat 145:493–512

    Article  Google Scholar 

  • Domenici P (2003) Habitat, body design and the swimming performance of fish. In: Bels VL, Gasc JP, Casinos A (eds) Vertebrate biomechanics and evolution. BIOS Scientific Publishers Ltd, Oxford, pp 137–160

    Google Scholar 

  • Domenici P, Turesson H, Brodersen J, Bronmark C (2008) Predator-induced morphology enhances escape locomotion in crucian carp. Proc R Soc B Biol Sci 275:195–201

    Article  Google Scholar 

  • Douglas ME, Matthews WJ (1992) Does morphology predict ecology? Hypothesis testing within a freshwater stream fish assemblage. Oikos 65:213

    Article  Google Scholar 

  • Ehlinger TJ, Wilson DS (1988) Complex foraging polymorphism in bluegill sunfish. Proc Natl Acad Sci USA 85:1878–1882

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Fischer-Rousseau L, Chu KP, Cloutier R (2010) Developmental plasticity in fish exposed to a water velocity gradient: a complex response. J Exp Biol 314:67–85

    Google Scholar 

  • Fisher R, Hogan JD (2007) Morphological predictors of swimming speed: a case study of pre-settlement juvenile coral reef fishes. J Exp Biol 210:2436–2443

    Article  PubMed  Google Scholar 

  • Franssen NR (2011) Anthropogenic habitat alteration induces rapid morphological divergence in a native stream fish. Evol Appl 4:791–804

    Article  PubMed  PubMed Central  Google Scholar 

  • Franssen NR, Harris J, Clark SR, Schaefer JF, Stewart LK (2013) Shared and unique morphological responses of stream fishes to anthropogenic habitat alteration. Proc R Soc Lond B Biol 280:20122715

    Article  Google Scholar 

  • Ghalambor CK, McKay JK, Carroll SP, Reznick DN (2007) Adaptive versus non-adaptive phenotypic plasticity and the potential for contemporary adaptation in new environments. Funct Ecol 21:394–407

    Article  Google Scholar 

  • Gould SJ (1977) Ontogeny and phylogeny. Harvard University Press, Harvard

    Google Scholar 

  • Gower JC (1975) Generalized procrustes analysis. Psychometrika 40:33–51

    Article  Google Scholar 

  • Hendry AP, Taylor EB (2004) How much of the variation in adaptive divergence can be explained by gene flow? An evaluation using lake-stream stickleback pairs. Evolution 58:2319–2331

    Article  PubMed  Google Scholar 

  • Hendry AP, Taylor EB, McPhail JD (2002) Adaptive divergence and the balance between selection and gene flow: lake and stream stickleback in the Misty system. Evolution 56:1199–1216

    Article  PubMed  Google Scholar 

  • Imre I, McLaughlin RL, Noakes DLG (2002) Phenotypic plasticity in brook charr: changes in caudal fin induced by water flow. J Fish Biol 61:1171–1181

    Article  Google Scholar 

  • Jowett IG, Duncan MJ (1990) Flow variability in New Zealand rivers and its relationship to in-stream habitat and biota. N Z J Mar Freshw 24:305–317

    Article  Google Scholar 

  • Kawecki TJ, Ebert D (2004) Conceptual issues in local adaptation. Ecol Lett 7:1225–1241

    Article  Google Scholar 

  • Keast A, Webb D (1966) Mouth and body form relative to feeding ecology in the fish fauna of a small lake, Lake Opinicon, Ontario. J Fish Res Board Can 23:1845–1874

    Article  Google Scholar 

  • Keeley ER, Parkinson EA, Taylor EB (2007) The origins of ecotypic variation of rainbow trout: a test of environmental vs. genetically based differences in morphology. J Evol Biol 20:725–736

    Article  CAS  PubMed  Google Scholar 

  • Kerfoot JR, Schaefer JF (2006) Ecomorphology and habitat utilization of Cottus species. Environ Biol Fishes 76:1–13

    Article  Google Scholar 

  • Klingenberg CP (1998) Heterochrony and allometry: the analysis of evolutionary change in ontogeny. Biol Rev Camb Philos 73:79–123

    Article  CAS  Google Scholar 

  • Klingenberg CP, Monteiro LR (2005) Distances and directions in multidimentional shape spaces: implications for morphometric applications. Syst Biol 54:678–688

    Article  PubMed  Google Scholar 

  • Koehl MAR (1996) When does morphology matter? Annu Rev Ecol Syst 27:501–542

    Article  Google Scholar 

  • Langerhans RB (2008) Predictability of phenotypic differentiation across flow regimes in fishes. Integr Comp Biol 48:750–768

    Article  PubMed  Google Scholar 

  • Langerhans RB (2009) Trade-off between steady and unsteady swimming underlies predator-driven divergence in Gambusia affinis. J Evol Biol 22:1057–1075

    Article  CAS  PubMed  Google Scholar 

  • Langerhans RB, Reznick D (2010) Ecology and evolution of swimming performance in fishes: predicting evolution with biomechanics. In: Domenici P, Kapoor BG (eds) Fish loco- motion: an eco-ethological perspective. Science Publishers, Enfield, pp 200–248

    Chapter  Google Scholar 

  • Langerhans RB, Layman CA, Langerhans AK, Dewitt TJ (2003) Habitat-associated morphological divergence in two Neotropical fish species. Biol J Linn Soc 80:689–698

    Article  Google Scholar 

  • Langerhans RB, Chapman LJ, Dewitt TJ (2007) Complex phenotype-environment associations revealed in an East African cyprinid. J Evol Biol 20:1171–1181

    Article  CAS  PubMed  Google Scholar 

  • Leasure DR, Magoulick DD, Longing SD (2016) Natural flow regimes of the Ozark-Ouachita Interior Highlands Region. River Res Appl 32:18–35

    Article  Google Scholar 

  • Lennon RE, Parker PS (1960) The stoneroller, Campostoma anomalum (Rafinesque), in Great Smoky Mountains National Park. Trans Am Fish Soc 89:263–270

    Article  Google Scholar 

  • Lytle DA (2001) Disturbance regimes and life history evolution. Am Nat 157:525–536

    CAS  PubMed  Google Scholar 

  • Lytle DA, Poff NL (2004) Adaptation to natural flow regimes. Trends Ecol Evol 19:94–100

    Article  PubMed  Google Scholar 

  • McKinney ML, McNamara KJ (1991) Heterochrony. Springer, New York

    Book  Google Scholar 

  • Mitteroecker P, Gunz P, Windhager S, Schaefer K (2013) A brief review of shape, form, and allometry in geometric morphometrics, with applications to human facial morphology. Hystrix 24:59–66

    Google Scholar 

  • Naiman RJ, Latterell JJ, Pettit NE, Olden JD (2008) Flow variability and the biophysical vitality of river systems. Comptes Rendus Geosci 340:629–643

    Article  Google Scholar 

  • Peres-Neto PR, Magnan P (2004) The influence of swimming demand on phenotypic plasticity and morphological integration: a comparison of two polymorphic charr species. Oecologia 140:36–45

    Article  PubMed  Google Scholar 

  • Pflieger WL (1975) The fishes of Missouri, revised edition. Missouri Department of Conservation, Jefferson City

    Google Scholar 

  • Poff LN, Ward JV (1989) Implications of streamflow variability and predictability for lotic community structure: a regional analysis of streamflow patterns. Can J Fish Aquat Sci 46:1805–1818

    Article  Google Scholar 

  • Poff LN, Allan JD, Bain MB, Prestegaard KL, Richter BD, Sparks RE et al (1997) The natural flow regime. Bioscience 47:769–784

    Article  Google Scholar 

  • Power ME, Sun A, Parker G, Dietrich WE, Wootton JT (1995) Hydraulic food-chain models. Bioscience 45:159–167

    Article  Google Scholar 

  • R Core Team (2014) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna

    Google Scholar 

  • Richter BD, Baumgartner JV, Wigington R, Braun DP (1997) How much water does a river need? Freshw Biol 37:231–249

    Article  Google Scholar 

  • Robinson B, Parsons K (2002) Changing times, spaces, and faces: tests and implications of adaptive morphological plasticity in the fishes of northern postglacial lakes. Can J Fish Aquat Sci 59:1819–1833

    Article  Google Scholar 

  • Robinson BW, Wilson DS (1994) Character release and displacement in fishes: a neglected literature. Am Nat 144:596–627

    Article  Google Scholar 

  • Rohlf FJ (1990) Rotational fit (procrustes) methods. In: Rohlf FJ, Bookstein FL (eds) Proceedings of the Michigan Morphometrics, workshop, Ann Arbor, Michigan, 16–28 May. University of Michigan Museum of Zoology, Ann Arbor, pp 227–336

  • Rohlf FJ (1994) TpsRelw. Department of Ecology and Evolution, State University, Stony Brook

    Google Scholar 

  • Rohlf FJ (2004) TpsDig. Department of Ecology and Evolution, State University, Stony Brook

    Google Scholar 

  • Rohlf FJ (2015) tpsSmall. Version 1.32. Department of Ecology and Evolution, State University, Stony Brook

    Google Scholar 

  • Schluter D (2000) The ecology of adaptive radiation. Oxford University Press, Oxford

    Google Scholar 

  • Sidlauskas B, Chernoff B, Machado-Allison A (2006) Geographic and environmental variation in Bryconops sp. cf. melanurus (Ostariophysi: Characidae) from the Brazilian Pantanal. Ichthyol Res 53:24–33

    Article  Google Scholar 

  • StataCorp (2015) Stata statistical software: release 14. StataCorp LP, College Station

    Google Scholar 

  • United States Environmental Protection Agency (USEPA) (2010) Level III ecoregions of Arkansas. USEPA Office of Research and Development, National Health and Environmental Effects Research Laboratory

  • Valladares F, Gianoli E, Gomez JM (2007) Ecological limits to plant phenotypic plasticity. N Phytol 176:749–763

    Article  Google Scholar 

  • Via S, Gomulkiewicz R, De Jong G, Scheiner SM, Schlichting CD, Van Tienderen PH (1995) Adaptive phenotypic plasticity: consensus and controversy. Trends Ecol Evol 10:212–217

    Article  CAS  PubMed  Google Scholar 

  • Vogel S (1994) Life in moving fluids. Princeton University Press, Princeton

    Google Scholar 

  • Walker JA (1997) Ecological morphology of lacustrine three- spine stickleback Gasterosteus aculeatus L. (Gasterosteidae) body shape. Biol J Linn Soc 61:3–50

    Google Scholar 

  • Walker JA, Bell MA (2000) Net evolutionary trajectories of body shape evolution within a microgeographic radiation of threespine sticklebacks (Gasterosteus aculeatus). J Zool 252:293–302

    Article  Google Scholar 

  • Walker JA, Ghalambor CK, Griset OL, McKennedy D, Reznick DN (2005) Do faster starts increase the probability of evading predators? Funct Ecol 19:808–815

    Article  Google Scholar 

  • Winemiller K, Rose K (1992) Patterns of life-history diversification in North American fishes: implications for population regulation. Can J Fish Aquat Sci 49:2196–2218

    Article  Google Scholar 

  • Wood BM, Bain MB (1995) Morphology and microhabitat use in stream fish. Can J Fish Aquat Sci 52:1487–1498

    Article  Google Scholar 

  • Zelditch ML, Swiderski DL, Sheets HD, Fink WL (2004) Geometric morphometrics for biologists: a primer. Elsevier, Academic Press, Amsterdam, London

    Google Scholar 

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Acknowledgements

We thank Doug Leasure for hydrologic data and input regarding field site selection. We thank all those who assisted with field collections: Olivia Jackson, Mallory Jeffers, Sarah Nelson, Casey Ward, Allyson Yarra, and Anthony Yates. We also thank all those who helped with mesocosm set up and maintenance: Brad Austin, Robert Fournier, Nicole Graham, Dustin Lynch, and Christopher Middaugh. We would also like to thank Dr. Adam Siepielski and anonymous reviewers for providing constructive comments. All procedures performed in studies involving animals were in accordance with the ethical standards of the institution or practice at which the studies were conducted and approved under University of Arkansas Institution of Animal Care and Use Committee (IACUC) permit 14036. The authors have no conflicts of interest related to this research. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

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Correspondence to Lindsey A. Bruckerhoff.

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Bruckerhoff, L.A., Magoulick, D.D. Hydrologic regimes as potential drivers of morphologic divergence in fish. Evol Ecol 31, 517–531 (2017). https://doi.org/10.1007/s10682-017-9897-0

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