Dispersal similarly shapes both population genetics and community patterns in the marine realm

Scientific Reports

Volumn 6, Issue , 2016, Pages

  Chust, Guillem ^a   Villarino, Ernesto ^a   Chenuil, Anne ^b   Irigoien, Xabier ^c   Bizsel, Nihayet ^d   Bode, Antonio ^e   Broms, Cecilie ^f   Claus, Simon ^g   Fernández De Puelles, Mariá L ^h   Fonda Umani, Serena ⁱ   Hoarau, Galice ^j   Mazzocchi, Maria G ^k   Mozetia, Patricija ^l   Vandepitte, Leen ^g   Veríssimo, Helena ^m   Zervoudaki, Soultana ⁿ   Borja, Angel ^a  

^a MARINE RESEARCH DIVISION   (Spain)

^b AVIGNON UNIVERSITÉ   (France)

^c KING ABDULLAH UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Saudi Arabia)

^d DOKUZ EYLUL UNIVERSITY   (Turkey)

^e Centro Oceanográfico de A Coruña   (Spain)

^f INSTITUTE OF MARINE RESEARCH   (Norway)

^g FLANDERS MARINE INSTITUTE VLIZ   (Belgium)

^h Centro Oceanográfico de Baleares   (Spain)

ⁱ UNIVERSITY OF TRIESTE   (Italy)

^j NORD UNIVERSITY   (Norway)

^k STAZIONE ZOOLOGICA ANTON DOHRN   (Italy)

^l NATIONAL INSTITUTE OF BIOLOGY   (Slovenia)

^m UNIVERSITY OF COIMBRA   (Portugal)

ⁿ INSTITUTE OF OCEANOGRAPHY   (Greece)

more..

Author keywords

[No Author keywords available]

Indexed keywords

BIODIVERSITY; HABITAT; LARVA; MACROINVERTEBRATE; NEUTRAL GENE THEORY; PLANKTON; POPULATION GENETIC STRUCTURE; PREDICTION; ZOOPLANKTON; ANIMAL; BIOLOGICAL MODEL; GENETICS; PHYTOPLANKTON; POPULATION GENETICS; QUANTITATIVE TRAIT;

ANIMALS; GENETICS, POPULATION; MODELS, GENETIC; PHYTOPLANKTON; QUANTITATIVE TRAIT, HERITABLE; ZOOPLANKTON;

EID: 84976630564     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/srep28730     Document Type: Article

References (83)

1. Levy, M., Jahn, O., Dutkiewicz, S., Follows, M. J. Phytoplankton diversity and community structure affected by oceanic dispersal and mesoscale turbulence. Limnol. Oceanogr. 4, 67-84, doi: 10.1215/21573689-2768549 (2014).
2. Nicolas Mouquet & Michel Loreau. Community Patterns in SourceSink Metacommunities. Am. Nat. 162, 544-557, doi: 10.1086/378857 (2003).
3. Mawdsley, J. R., O'Malley, R., Ojima, D. S. A Review of Climate-Change Adaptation Strategies for Wildlife Management and Biodiversity Conservation. Conserv. Biol. 23, 1080-1089, doi: 10.1111/j.1523-1739.2009.01264.x (2009).
4. Cowen, R. K., Gawarkiewic, G., Pineda, J., Thorrold, S. R., Werner, F. E. Population Connectivity in Marine Systems An Overview. Oceanography 20, 14-21 (2007).
5. Bell, J. J. Connectivity between island Marine Protected Areas and the mainland. Biol. Conserv. 141, 2807-2820, doi: http://dx.doi. org/10.1016/j.biocon.2008.08.017 (2008).
6. Magris, R. A., Pressey, R. L., Weeks, R., Ban, N. C. Integrating connectivity and climate change into marine conservation planning. Biol. Conserv. 170, 207-221, doi: http://dx.doi.org/10.1016/j.biocon.2013.12.032 (2014).
7. Driscoll, D. A. et al. The Trajectory of Dispersal Research in Conservation Biology. Systematic Review. PloS One 9, e95053, doi: 10.1371/journal.pone.0095053 (2014).
8. Shanks, A. L. Pelagic Larval Duration and Dispersal Distance Revisited. Biol. Bull. 216, 373-385 (2009).
9. Vellend, M., Orrock, J. L. In The Theory of Island Biogeography Revisited (ed J. B. Losos & R. E. Ricklefs) 439-461 (Princeton University Press, 2009).
10. Vellend, M. et al. Drawing ecological inferences from coincident patterns of population-and community-level biodiversity. Mol. Ecol. 23, 2890-2901, doi: 10.1111/mec.12756 (2014).
11. Papadopoulou, A. et al. Testing the Species-Genetic Diversity Correlation in the Aegean Archipelago: Toward a Haplotype-Based Macroecology Am. Nat. 178, 241-255, doi: 10.1086/660828 (2011).
12. Violle, C. et al. The return of the variance: intraspecific variability in community ecology. Trends Ecol. Evol. 27, 244-252, doi: 10.1016/j.tree.2011.11.014 (2012).
13. Baselga, A. et al. Whole-community DNA barcoding reveals a spatio-temporal continuum of biodiversity at species and genetic levels. Nat. Commun. 4, 1892, doi: 10.1038/ncomms2881 (2013).
14. Chust, G. et al. Connectivity, neutral theories and the assessment of species vulnerability to global change in temperate estuaries. Estuar. Coastal Shelf S. 131, 52-63, doi: http://dx.doi.org/10.1016/j.ecss.2013.08.005 (2013).
15. Chave, J., Leigh, E. G. A spatially explicit neutral model of beta-diversity in tropical forests. Theor. Popul. Biol. 62, 153-168 (2002).
16. Hubbell, S. P. A unified neutral theory of biodiversity and biogeography (2001).
17. Finn, D. S., Poff, N. L. Examining spatial concordance of genetic and species diversity patterns to evaluate the role of dispersal limitation in structuring headwater metacommunities. J. N. Am. Benthol. Soc. 30, 273-283, doi: 10.1899/10-035.1 (2011).
18. Kimura, M. The Neutral Theory of Molecular Evolution (Cambridge University Press, 1983).
19. Wright, S. Isolation by distance. Genetics 28, 114-138 (1943).
20. Selkoe, K. A., Toonen, R. J. Marine connectivity: a new look at pelagic larval duration and genetic metrics of dispersal. Mar. Ecol.-Prog. Ser. 436, 291-305, doi: 10.3354/meps09238 (2011).
21. Hutchison, D. W., Templeton, A. R. Correlation of pairwise genetic and geographic distance measures: Inferring the relative influences of gene flow and drift on the distribution of genetic variability. Evolution 53, 1898-1914, doi: 10.2307/2640449 (1999).
22. MacArthur, R. H., Wilson, E. O. The Theory of Island Biogeography (Princeton, New Jersey, Princeton University Press, 1967).
23. Hutchinson, G. E. Concluding remarks. Cold Spring Harbor Symposia on Quantitative Biology 22 415-427 (1957).
24. Condit, R. et al. Beta-Diversity in Tropical Forest Trees. Science 295, 666-669 (2002).
25. Chust, G. et al. Determinants and spatial modeling of tree beta-diversity in a tropical forest landscape in Panama. J. Veg. Sci. 17, 83-92 (2006).
26. Martiny, J. B. H., Eisen, J. A., Penn, K., Allison, S. D., Horner-Devine, M. C. Drivers of bacterial beta-diversity depend on spatial scale. P. Natl. Acad. Sci. USA 108, 7850-7854, doi: 10.1073/pnas.1016308108 (2011).
27. Chust, G., Irigoien, X., Chave, J., Harris, R. P. Latitudinal phytoplankton distribution and the neutral theory of biodiversity. Global Ecol. Biogeogr. 22, 531-543, doi: 10.1111/geb.12016 (2013).
28. Cerme, P., Falkowski, P. G. Controls on Diatom Biogeography in the Ocean. Science 325, 1539-1541 (2009).
29. Vellend, M., Geber, M. A. Connections between species diversity and genetic diversity. Ecol. Lett. 8, 767-781, doi: 10.1111/j.1461-0248.2005.00775.x (2005).
30. Evanno, G., Castella, E., Antoine, C., Paillat, G., Goudet, J. Parallel changes in genetic diversity and species diversity following a natural disturbance. Mol. Ecol. 18, 1137-1144, doi: 10.1111/j.1365-294X.2009.04102.x (2009).
31. Blum, M. et al. Genetic diversity and species diversity of stream fishes covary across a land-use gradient. Oecologia 168, 83-95, doi: 10.1007/s00442-011-2078-x (2012).
32. Palumbi, S. R. Population genetics, demographic connectivity, and the design of marine reserves. Ecol. Appl. 13, S146-S158 (2003).
33. Collin, R. The effects of mode of development on phylogeography and population structure of North Atlantic Crepidula (Gastropoda: Calyptraeidae). Mol. Ecol. 10, 2249-2262 (2001).
34. Kojima, S., Hayashi, I., Kim, D., Iijima, A., Furota, T. Phylogeography of an intertidal direct-developing gastropod Batillaria cumingi around the Japanese Islands. Mar. Ecol.-Prog. Ser. 276, 161-172 (2004).
35. Weber, A., Migot, B., Valies, S., Chenuil, A. Influence of the larval phase on connectivity: strong differences in the genetic structure of brooders and broadcasters in the Ophioderma longicauda species complex. Mol. Ecol. 24, 6080-6094 (2015).
36. Wilke, T., Davis, G. Infraspecific mitochondrial sequence diversity in Hydrobia ulvae and Hydrobia ventrosa (Hydrobiidae: Rissooidea: Gastropoda): do their different life histories affect biogeographic patterns and gene flow Biol. J. Linn. Soc. 70, 89-105 (2000).
37. Tarnowska, K. et al. Comparative phylogeography of two sister (congeneric) species of cardiid bivalve: Strong influence of habitat, life history and post-glacial history. Estuar. Coastal Shelf S. 107, 150-158, doi: 10.1016/j.ecss.2012.05.007 (2012).
38. Rolan-Alvarez, E., Zapata, C., Alvarez, G. Distinct genetic subdivision in sympatric and sibling species of the genus Littorina (Gastropoda: Littorinidae). Heredity 74, 1-9 (1995).
39. Kyle, C., Boulding, E. Comparative population genetic structure of marine gastropods (Littorina spp.) with and without pelagic larval dispersal. Mar. Biol. 137, 835-845 (2000).
40. Boissin, E., Egea, E., Fal, J.-P., Chenuil, A. Contrasting population genetic structures in Amphipholis squamata, a complex of brooding and self-reproducing sister species sharing life-history traits. Mar. Ecol-Prog. Ser. 539, 165-177 (2015).
41. Dupont, L., Ellien, C., Viard, F. Limits to gene flow in the slipper limpet Crepidula fornicata as revealed by microsatellite data and a larval dispersal model. Mar. Ecol-Prog. Ser. 349, 125-138, doi: 10.3354/meps07098 (2007).
42. Alberto, F. et al. Isolation by oceanographic distance explains genetic structure for Macrocystis pyrifera in the Santa Barbara Channel. Mol. Ecol. 20, 2543-2554, doi: 10.1111/j.1365-294X.2011.05117.x (2011).
43. Watson, J. R. et al. Currents connecting communities: nearshore community similarity and ocean circulation. Ecology 92, 1193-1200, doi: 10.1890/10-1436.1 (2011).
44. Shanks, A. L., Grantham, B. A., Carr, M. H. Propagule dispersal distance and the size and spacing of marine reserves. Ecol. Appl. 13, S159-S169 (2003).
45. Tautz, D., Ellegren, H., Weigel, D. Next Generation Molecular Ecology. Mol. Ecol. 19, 1-3, doi: 10.1111/j.1365-294X.2009.04489.x (2010).
46. Strathmann, R. R. et al. Evolution of local recruitment and its consequences for marine populations. B. Mar. Sci. 70, 377-396 (2002).
47. Pante, E., Simon-Bouhet, B. marmap: A Package for Importing, Plotting and Analyzing Bathymetric and Topographic Data in R. PloS One 8, e73051, doi: 10.1371/journal.pone.0073051 (2013).
48. Legendre, P., Legendre, L. Numerical ecology (Elsevier, 2012).
49. Kinlan, B. P., Gaines, S. D. Propagule dispersal in marine and terrestrial environments: A community perspective. Ecology 84, 2007-2020, doi: 10.1890/01-0622 (2003).
50. Burridge, C. P., Hurt, A. C., Farrington, L. W., Coutin, P. C., Austin, C. M. Stepping stone gene flow in an estuarine-dwelling sparid from south-east Australia. J. Fish. Biol. 64, 805-819, doi: 10.1111/j.1095-8649.2004.00347.x (2004).
51. Coates, B. S. et al. Comparative Performance of Single Nucleotide Polymorphism and Microsatellite Markers for Population Genetic Analysis. J. Hered. 100, 556-564, doi: 10.1093/jhered/esp028 (2009).
52. Selkoe, K. A., Toonen, R. J. Microsatellites for ecologists: a practical guide to using and evaluating microsatellite markers. Ecol. Lett. 9, 615-629, doi: 10.1111/j.1461-0248.2006.00889.x (2006).
53. Weersing, K., Toonen, R. Population genetics, larval dispersal, and connectivity in marine systems. Mar. Ecol.-Prog. Ser. 393, 1-12, doi: 10.3354/meps08287 (2009).
54. Lehmann, T. et al. Genetic differentiation of Anopheles gambiae populations from East and West Africa: comparison of microsatellite and allozyme loci. Heredity 77, 192-200 (1996).
55. Petrie, A., Bulman, J., Osborn, J. Further statistics in dentistry. Part 8: systematic reviews and meta-analyses. Brit. Dent. J. 194, 73-78 (2003).
56. Viechtbauer, W. Conducting meta-analyses in R with the metafor package. J. Stat. Softw. 36, 1-48 (2010).
57. Sal, S., Lez-Urrutia, A., Irigoien, X., Harbour, D. S., Harris, R. P. Marine microplankton diversity database. Ecology 94, 1658, doi: 10.1890/13-0236.1 (2013).
58. Borja, A. et al. Using multiple ecosystem components, in assessing ecological status in Spanish (Basque Country) Atlantic marine waters. Mar. Pollut. Bull. 59, 54-64 (2009).
59. Carstensen, J. Statistical principles for ecological status classification of Water Framework Directive monitoring data. Mar. Pollut. Bull. 55, 3-15 (2007).
60. Mozeti, P., Franc J., Kogovšek, T., Talaber, I., Malej, A. Plankton trends and community changes in a coastal sea (northern Adriatic): Bottom-up vs. top-down control in relation to environmental drivers. Estuar. Coastal Shelf S. 115, 138-148 (2012).
61. Eloire, D. et al. Temporal variability and community composition of zooplankton at station L4 in the Western Channel: 20 years of sampling. J. Plankton Res. 32, 657-679, doi: 10.1093/plankt/fbq009 (2010).
62. Albaina, A., Irigoien, X. Zooplankton communities and oceanographic structures in a high-resolution grid in the south-eastern corner of the Bay of Biscay. Estuar. Coastal Shelf S. 75, 433-446 (2007).
63. Bode, A., Alvarez-Ossorio, M. T., Miranda, A., Lez-Urrutia, A., Vald, L. Comparing copepod time-series in the north of Spain: Spatial autocorrelation of community composition. Prog. Oceanogr. 97-100, 108-119, doi: http://dx.doi.org/10.1016/j. pocean.2011.11.013 (2012).
64. Conversi, A., Peluso, T., Fonda-Umani, S. The Gulf of Trieste: a changing ecosystem. J. Geophys. Res. 114, C03S90, doi: 10.1029/2008JC004763 (2009).
65. Mazzocchi, M. G., Dubroca, L., Garcia-Comas, C., Di Capua, I., Ribera d'Alcal M. Stability and resilience in coastal copepod assemblages: The case of the Mediterranean long-term ecological research at stn MC (LTER-MC). Prog. Oceanogr. 97-100, 135-151 (2012).
66. Mazzocchi, M. G., Licandro, P., Dubroca, L., Di Capua, I., Saggiomo, V. Zooplankton associations in a Mediterranean long-term time-series. J. Plankton Res. 33, 1163-1181 (2011).
67. Ferndez de Puelles, M. L., Alemany, F., Jans J. Zooplankton time-series in the Balearic Sea (Western Mediterranean): variability during the decade 1994-2003. Prog. Oceanogr. 74, 329-354 (2007).
68. Ferndez de Puelles, M. L., Lez-Urrutia, A., Morillas, A., Molinero, J. C. Seasonal variability of copepod abundance in the Balearic region as a indicator of basin scale hydrological changes. Hydrobiologia 617, 3-16 (2009).
69. Boxshall, G. A. et al. World Register of Marine Species (WoRMS) (Society for the Management of Electronic Biodiversity Data (SMEBD), 2015). URL: http://www.marinespecies.org.
70. Vanden Berghe, E., Claus, S., Appeltans, W., Faulwetter, S., others. MacroBen integrated database on benthic invertebrates of European continental shelves: a tool for large-scale analysis across Europe. Mar. Ecol.-Prog. Ser. 382, 225-238 (2009).
71. Borja, A., Muxika, I., Rodruez, J. G. Paradigmatic responses of marine benthic communities to different anthropogenic pressures, using M-AMBI, within the European Water Framework Directive. Mar. Ecol. 30, 214-227 (2009).
72. Josefson, A. B., Rasmussen, B. Nutrient Retention by Benthic Macrofaunal Biomass of Danish Estuaries: Importance of Nutrient Load and Residence Time. Estuar. Coastal Shelf S. 50, 205-216, doi: http://dx.doi.org/10.1006/ecss.1999.0562 (2000).
73. Tyberghein, L. et al. Bio-ORACLE: a global environmental dataset for marine species distribution modelling. Global Ecol. Biogeogr. 21, 272-281, doi: 10.1111/j.1466-8238.2011.00656.x (2012).
74. Amante, C., Eakins, B. W. ETOPO1 1 Arc-Minute Global Relief Model: Procedures, Data Sources and Analysis. NOAA Technical Memorandum NESDIS NGDC-24. (2009).
75. Koleff, P., Gaston, K. J., Lennon, J. J. Measuring beta diversity for presence-absence data. J. Anim. Ecol. 72, 367-382, doi: 10.1046/j.1365-2656.2003.00710.x (2003).
76. Lennon, J. J., Koleff, P., Greenwood, J. J. D., Gaston, K. J. The geographical structure of British bird distributions: diversity, spatial turnover and scale. J. Anim. Ecol. 70, 966-979, doi: 10.1046/j.0021-8790.2001.00563.x (2001).
77. Landguth, E. L., Hand, B. K., Glassy, J., Cushman, S. A., Sawaya, M. A. UNICOR: a species connectivity and corridor network simulator. Ecography 35, 9-14, doi: 10.1111/j.1600-0587.2011.07149.x (2012).
78. Legendre, P. Spatial autocorrelation: trouble or new paradigm Ecology 74, 1659-1673 (1993).
79. Oksanen, J. Multivariate Analysis of Ecological Communities in R: vegan tutorial. 43 (2011).
80. Nekola, J. C., White, P. S. The distance decay of similarity in biogeography and ecology. J. Biogeogr. 26, 867-878, doi: 10.1046/j.1365-2699.1999.00305.x (1999).
81. Cleveland, W. S., Grosse, E., Shyu, W. M. In Statistical Models (ed J. M. Chambers & T. J. Hastie) (Wadsworth & Brooks/Cole, 1992).
82. Muggeo, V. M. R. Estimating regression models with unknown break-points. Stat. Med. 22, 3055-3071 (2003).
83. Csardi, G., Nepusz, T. The igraph software package for complex network research. InterJournal, Complex Systems 1695 (2006).