Can shell shape be used to find the origin of South American mussels?

References

• AmiChile. 2019. Asociación de Mitilicultores de Chile. [accessed 2018 Dec 2018]. www.AmiChile.com edn., Chile.
   Google Scholar
• Bala LO. 1989. Biología y ecología del mejillón (Mytilus edulis platensis) en el golfo San José, provincia del Chubut. Facultad de Ciencias Naturales y Museo.
   Google Scholar
• Balzarini M, Gonzalez L, Tablada E, Casanoves F, Di Rienzo J, Robledo C. 2008. InfoStat. Manual del Usuario Universidad Nacional de Córdoba, Editorial Brujas, Argentina.
   Google Scholar
• Bookstein F. 1991. Morphometric tools for landmark data. Cambridge: Cambridge University Press.
   Google Scholar
• Cadrin SX, Friedland KD. 1999. The utility of image processing techniques for morphometric analysis and stock identification. Fisheries Research. 43:129–139. doi:10.1016/S0165-7836(99)00070-3.
   Web of Science ®Google Scholar
• Costa C, Aguzzi J, Menesatti P, Antonucci F, Rimatori V, Mattoccia l. 2008. Shape analysis of different populations of clams in relation to their geographical structure. Journal of Zoology. 276:71–80. doi:10.1111/j.1469-7998.2008.00469.x.
   Web of Science ®Google Scholar
• Díaz-Puente B, Pita A, Uribe J, Cuéllar-Pinzón J, Guiñez R, Presa P. 2020. A biogeography-based management for Mytilus chilensis: The genetic hodgepodge of Los Lagos versus the pristine hybrid zone of the Magellanic ecotone. Aquatic Conservation: Marine and Freshwater Ecosystems. 30:412–425. doi:10.1002/aqc.3271.
   Web of Science ®Google Scholar
• Di Rienzo J, Casanoves F, Balzarini M, Gonzalez L, Tablada M, Robledo C. 2012. InfoStat versión 2012. Grupo InfoStat, FCA. Universidad Nacional de Córdoba, Argentina.
   Google Scholar
• FAO. 2018. El estado mundial de la pesca y la acuicultura. Cumplir los objetivos de desarrollo sostenible. Roma: Licencia: CC BY-NC-SA 3.0 IGO.
   Google Scholar
• Fernández-Tajes J, Freire R, Méndez J. 2010. A simple one-step PCR method for the identification between European and American razor clams species. Food Chemistry. 118:995–998. doi:10.1016/j.foodchem.2008.10.043.
   Web of Science ®Google Scholar
• Francoy TM, Grassi ML, Imperatriz-Fonseca VL, de Jesús May-Itzá W, Quezada- Euán JJG. 2011. Geometric morphometrics of the wing as a tool for assigning genetic lineages and geographic origin to Melipona beecheii (Hymenoptera: Meliponini). Apidologie. 42:499–507. doi:10.1007/s13592-011-0013-0.
   Web of Science ®Google Scholar
• Gil MN, Giarratano E, Barros V, Bortolus A, Codignotto JO, Schenke RD, Góngora GME, Lovrich G, Monti AJ, Pascual M, et al. 2019. Southern Argentina: the Patagonian continental shelf. In: Sheppard C., editor. World seas: an environmental evaluation. London: Elsevier; p. 783–811.
   Google Scholar
• Gorban MKD, Carballo C, Paiva M. 2014. Seguridad y soberanía alimentaria: Librería Akadia.
   Google Scholar
• Gosling E. 2003. Bivalve molluscs: biology, ecology and culture. Oxford: Blackwell.
   Google Scholar
• Gunz P, Mitteroecker P. 2013. Semilandmarks: a method for quantifying curves and surfaces. Hystrix the Italian Journal of Mammalogy. 24:103–109. doi:10.4404/hystrix-24.1-6292.
   Web of Science ®Google Scholar
• Hastein T, Hill B, Berthe F, Lightner D. 2001. Traceability of aquatic animals. Revue scientifique et technique / Office international des épizooties. 20:564–583. doi:10.20506/rst.20.2.1300.
   PubMed Web of Science ®Google Scholar
• Ibañez AL, Cowx IG, O'higgins P. 2007. Geometric morphometric analysis of fish scales for identifying genera, species, and local populations within the Mugilidae. Canadian Journal of Fisheries and Aquatic Sciences. 64:1091–1100. doi:10.1139/f07-075.
   Web of Science ®Google Scholar
• Illesca A, Oyarzún PA, Toro JE, Gardner JP. 2018. Morphometric variability of smooth-shelled blue mussels from the Pacific coast of South America. Biological Journal of the Linnean Society. 125:194–209. doi:10.1093/biolinnean/bly094.
   Web of Science ®Google Scholar
• Innes D, Bates J. 1999. Morphological variation of Mytilus edulis and Mytilus trossulus in eastern Newfoundland. Marine Biology. 133:691–699. doi:10.1007/s002270050510.
   Web of Science ®Google Scholar
• Johnson RA, Wichern DW. 1998. Applied multivariate statistical analysis. Chapter 6, Principal components; p. 430–481.
   Google Scholar
• Klingenberg CP. 2011. Morphoj: an integrated software package for geometric morphometrics. Molecular Ecology Resources. 11:353–357. doi:10.1111/j.1755-0998.2010.02924.x.
   PubMed Web of Science ®Google Scholar
• Krapivka S, Toro JE, Alcapán AC, Astorga M, Presa P, Pérez M, Guiñez R. 2007. Shell-shape variation along the latitudinal range of the Chilean blue mussel Mytilus chilensis (Hupe 1854). Aquaculture Research. 38:1770–1777. doi:10.1111/j.1365-2109.2007.01839.x.
   Web of Science ®Google Scholar
• Larraín MA, Díaz NF, Lamas C, Uribe C, Araneda C. 2014. Traceability of mussel (Mytilus chilensis) in southern Chile using microsatellite molecular markers and assignment algorithms. Exploratory survey. Food Research International. 62:104–110. doi:10.1016/j.foodres.2014.02.016.
   Web of Science ®Google Scholar
• Larraín MA, Díaz NF, Lamas C, Vargas C, Araneda C. 2012. Genetic composition of Mytilus species in mussel populations from southern Chile. Latin American Journal of Aquatic Research. 40:1077–1084. doi:10.3856/vol40-issue4-fulltext-23.
   Web of Science ®Google Scholar
• Larraín MA, Zbawicka M, Araneda C, Gardner JP, Wenne R. 2018. Native and invasive taxa on the Pacific coast of South America: impacts on aquaculture, traceability and biodiversity of blue mussels (Mytilus spp.). Evolutionary Applications. 11:298–311. doi:10.1111/eva.12553.
   Web of Science ®Google Scholar
• La Vía Campesina, Movimiento campesino internacional. 2018. [accessed 2018 Dec 10]. https://viacampesina.org/es/que-es-la-soberania-alimentaria/.
   Google Scholar
• Lockley A, Bardsley R. 2000. DNA-based methods for food authentication. Trends in Food Science & Technology. 11:67–77. doi:10.1016/S0924-2244(00)00049-2.
   Web of Science ®Google Scholar
• Márquez F, Robledo J, Peñaloza GE, Van der Molen S. 2010. Use of different geometric morphometrics tools for the discrimination of phenotypic stocks of the striped clam Ameghinomya antiqua (Veneridae) in north Patagonia, Argentina. Fisheries Research. 101:127–131. doi:10.1016/j.fishres.2009.09.018.
   Web of Science ®Google Scholar
• Márquez F, Trivellini MM, Van der Molen S. 2017. Use of shell shape variation as an assessment tool in the southernmost razor clam fishery. Fisheries Research. 186:216–222. doi:10.1016/j.fishres.2016.08.027.
   Web of Science ®Google Scholar
• Ministerio de Agricultura, Ganadería y Pesca. 2018. [accessed 2018 Dec 14]. www.argentina.gob.ar/agroindustria.
   Google Scholar
• Moschino V, Bressan M, Cavaleri L, Da Ros L. 2015. Shell-shape and morphometric variability in Mytilus galloprovincialis from micro-tidal environments: responses to different hydrodynamic drivers. Marine Ecology. 36:1440–1453. doi:10.1111/maec.12244.
   Web of Science ®Google Scholar
• Palmer M, Pons GX, Linde M. 2004. Discriminating between geographical groups of a Mediterranean commercial clam (Chamelea gallina (L.): Veneridae) by shape analysis. Fisheries Research 67:93–98. doi:10.1016/j.fishres.2003.07.006.
   Web of Science ®Google Scholar
• Penchaszadeh PE. 1974. Ecología del mejillón Mytilus platensis d'Orb. de bancos circalitorales. Facultad de Ciencias Exactas y Naturales Universidad de Buenos Aires.
   Google Scholar
• Reiss H, Greenstreet SP, Sieben K, Ehrich S, Piet GJ, Quirijns F, Robinson L, Wolff WJ, Kröncke I. 2009. Effects of fishing disturbance on benthic communities and secondary production within an intensively fished area. Marine Ecology Progress Series. 394:201–213. doi:10.3354/meps08243.
   Web of Science ®Google Scholar
• Rohlf FJ. 2016. TPS Relw v.1.63: Ecology & Evolution, SUNY at Stony Brook.
   Google Scholar
• Rohlf FJ. 2017a. tpsUtil v. 1.69. New York State University of New York at Stony Brook.
   Google Scholar
• Rohlf FJ. 2017b. TpsDig2 v.2.30: Ecology & Evolution and Anthropology, Stony Brook. University.
   Google Scholar
• Rohlf FJ, Slice D. 1990. Extensions of the Procrustes method for the optimal superimposition of landmarks. Systematic Zoology. 39:40–59. doi:10.2307/2992207.
   Google Scholar
• Rufino MM, Gaspar MB, Pereira AM, Vasconcelos P. 2006. Use of shape to distinguish Chamelea gallina and Chamelea striatula (Bivalvia: Veneridae): linear and geometric morphometric methods. Journal of Morphology. 267:1433–1440. doi:10.1002/jmor.10489.
   PubMed Web of Science ®Google Scholar
• Rufino MM, Vasconcelos P, Pereira F, Fernández-Tajes J, Darriba S, Méndez J, Gaspar MB. 2013. Geographical variation in shell shape of the pod razor shell Ensis siliqua (Bivalvia: Pharidae). Helgoland Marine Research. 67:49–58. doi:10.1007/s10152-012-0303-6.
   Web of Science ®Google Scholar
• Savoya V, Otero JG, Schwindt E. 2015. Toward a better understanding of the native– nonnative status of Mytilus mussels in the southwestern Atlantic: comparing pre-European middens and modern populations. Journal of Coastal Research. 313:742–748. doi:10.2112/JCOASTRES-D-13-00044.1.
   Google Scholar
• SENASA. 2018. [accessed 2018 Jul 6]. www.argentina.gob.ar/senasa. Ministerio de Producción y Trabajo. Secretaria de Agroindustria.
   Google Scholar
• Telesca L, Michalek K, Sanders T, Peck LS, Thyrring J, Harper EM. 2018. Blue mussel shell shape plasticity and natural environments: a quantitative approach. Scientific Reports. 8:2865. doi:10.1038/s41598-018-20122-9.
   PubMed Web of Science ®Google Scholar
• Trivellini MM, Van der Molen S, Márquez F. 2018. Fluctuating asymmetry in the shell shape of the Atlantic Patagonian mussel, Mytilus platensis, generated by habitat-specific constraints. Hydrobiologia. 822:189–201. doi:10.1007/s10750-018-3679-8.
   Web of Science ®Google Scholar
• Trovant B, Márquez F, del Río C, Ruzzante DE, Martínez S, Orensanz JM. 2018. Insights on the history of the scorched mussel Brachidontes rodriguezii (Bivalvia: Mytilidae) in the Southwest Atlantic: a geometric morphometrics perspective. Historical Biology. 30:564–572. doi:10.1080/08912963.2017.1306699.
   Web of Science ®Google Scholar
• Valdano SG, Di Rienzo J. 2007. Discovering meaningful groups in hierarchical cluster analysis. An extension to the multivariate case of a multiple comparison method based on cluster analysis. InterStat, 1–28.
   Google Scholar
• Valladares A, Manríquez G, Suárez-Isla BA. 2010. Shell shape variation in populations of Mytilus chilensis (Hupe 1854) from southern Chile: a geometric morphometric approach. Marine Biology. 157:2731–2738. doi:10.1007/s00227-010-1532-3.
   Web of Science ®Google Scholar
• Van der Molen S, Márquez F, Idaszkin YL, Adami M. 2013. Use of shell-shape to discriminate between Brachidontes rodriguezii and Brachidontes purpuratus species (Mytilidae) in the transition zone of their distributions (south-western Atlantic). Journal of the Marine Biological Association of the United Kingdom. 93:803–808. doi:10.1017/S0025315412001221.
   Web of Science ®Google Scholar
• Zaixso H, Boraso de Zaixso A. 2015. La Zona Costera Patagónica Argentina.Vol. I. Recursos biológicos bentónicos. Comodoro Rivadavia: Universitaria de la Patagonia, EDUPA.
   Google Scholar
• Zbawicka M, Trucco MI, Wenne R. 2018. Single nucleotide polymorphisms in native South American Atlantic coast populations of smooth shelled mussels: hybridization with invasive European Mytilus galloprovincialis. Genetics Selection Evolution. 50:5. doi:10.1186/s12711-018-0376-z.
   PubMed Web of Science ®Google Scholar
• Zelditch M, Swiderski D, Sheets H, Fink W. 2004. Geometric morphometrics for biologists: a primer. London: Elsevier, Academic Press.
   Google Scholar