Different Histories, Different Destinies‒Impact of Evolutionary History and Population Genetic Structure on Extinction Risk of the Adriatic Spined Loaches (Genus Cobitis; Cypriniformes, Actinopterygii)
Jazyk angličtina Země Spojené státy americké Médium electronic-ecollection
Typ dokumentu časopisecké články, práce podpořená grantem
PubMed
26176227
PubMed Central
PMC4503428
DOI
10.1371/journal.pone.0131580
PII: PONE-D-14-55373
Knihovny.cz E-zdroje
- MeSH
- cytochromy b genetika MeSH
- extinkce biologická MeSH
- genetické markery MeSH
- hustota populace MeSH
- máloostní genetika MeSH
- mitochondriální proteiny genetika MeSH
- molekulární evoluce MeSH
- ohrožené druhy MeSH
- polymorfismus genetický MeSH
- riziko MeSH
- rozšíření zvířat MeSH
- rybí proteiny genetika MeSH
- zvířata MeSH
- Check Tag
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Geografické názvy
- Bosna a Hercegovina MeSH
- Chorvatsko MeSH
- Názvy látek
- cytochromy b MeSH
- genetické markery MeSH
- mitochondriální proteiny MeSH
- rybí proteiny MeSH
The region of Balkans is often considered as an ichthyologic "hot spot", with a great number of species and high portion of endemics living in fresh waters in a relatively small area. The Adriatic watershed in Croatia and Herzegovina is inhabited by six spined loach species (genus Cobitis) whose extinction risk estimations were based solely on their extent of occurrence (and/or area of occupancy) and its fragmentation, and conservation proposals do not consider diversity below species level. In this investigation we employed molecular genetic methods to describe present genetic structure of the Adriatic spined loaches and reveal their demographic history. The divergence of the Adriatic lineages inside the genus Cobitis started in Miocene and lasted until Pleistocene epoch. Geological events responsible for shaping recent diversity of spined loaches in the Adriatic basin are: the Dinarid Mountains upwelling, the evolution of Dinaric Lake system, local tectonic activity, river connections during glaciations and differences in sea level. Even though all the investigated species inhabit karstic rivers located in the same geographic area and that were subject of similar geological events, the results obtained reveal great differences in their genetic diversity and structure and point out the necessity of different conservation measures to ensure their future viability. High level of genetic polymorphism is characteristic for species located more to the south. Two species comprised of more than one population have completely different intraspecific structure; populations of C. illyrica are genetically distinct and represent separate evolutionary significant units, whereas intraspecific structure of C. narentana corresponds to metapopulational pattern. Without population genetic data, evolutionary significant units could be easily misidentified. Furthermore, the obtained results affirm that population genetic measurements are able to detect differences among closely located and related species and estimate extinction risk even more accurately than currently applied IUCN criteria.
Department of Ecology Charles University Prague Czech Republic
Department of Zoology Faculty of Science University of Zagreb Zagreb Croatia
Faculty of Teacher education University of Zagreb Zagreb Croatia
Zobrazit více v PubMed
McNeely JA, Miller KR, Reid WV, Mittermeier RA, Werner TB (1990) Conserving the World’s Biological Diversity Washington: IUCN, World Resources Institute, Conservation International, WWF-US and the World Bank.
Rodrigues ASL, Pilgrim JD, Lamoreux JF, Hoffmann M, Brooks TM (2006) The value of the IUCN Red List for conservation. Trends Ecol Evol 21: 71–76. PubMed
Frankham R (2005) Genetics and extinction. Biol Conserv 126: 131–140.
Allendorf FW, Luikart G, Aitken SN (2013) Conservation and the Genetics of Populations, second ed. Oxford: Wiley-Blackwell;
Mace GM, Collar NJ, Gaston KJ, Hilton-Taylor C, Akçakaya HR, Leader-Williams N, et al. (2008) Quantification of extinction risk: IUCN’s system for classifying threatened species. Conserv Biol 22: 1424–1442. 10.1111/j.1523-1739.2008.01044.x PubMed DOI
Mace GM, Gittleman JL, Purvis A (2003) Preserving the tree of life. Science 300: 1707–1709. PubMed
Brooks TM, Mittermeier RA, Fonseca GAB, Gerlach J, Hoffmann M, Lamoreux JF, et al. (2006) Global biodiversity conservation priorities. Science 313: 58–61. PubMed
Buj I, Šanda R, Marčić Z, Ćaleta M, Mrakovčić M (2014) Combining Morphology and Genetics in Resolving Taxonomy-A Systematic Revision of Spined Loaches (Genus Cobitis; Cypriniformes, Actinopterygii) in the Adriatic Watershed. PLoS ONE 9(6): e99833 10.1371/journal.pone.0099833 PubMed DOI PMC
Perdices A, Bohlen J, Doadrio I (2008) The molecular diversity of Adriatic spined loaches (Teleostei, Cobitidae). Mol Phylogenet Evol 46: 382–390. PubMed
Stephens M, Smith NJ, Donelly P (2001) A new statistical method for haplotype reconstruction from population data. Am J Hum Gen 68: 978–989. PubMed PMC
Stephens M, Scheet P (2005) Accounting for decay of linkage disequilibrium in haplotype inference and missing data imputation. Am J Hum Gen 76: 449–462. PubMed PMC
Huelsenbeck JP, Ronquist F (2001) MRBAYES: Bayesian inference of phylogenetic trees. Bioinformatics 17: 754–755. PubMed
Perdices A, Doadrio I (2001) The molecular systematics and biogeography of the European cobitids based on mitochondrial DNA sequences. Mol Phylogenet Evol 19: 468–478. PubMed
Posada D, Crandall KA (1998) MODELTEST: testing the model of DNA substitution. Bioinformatics 14: 817–818. PubMed
Drummond AJ, Suchard MA, Xie D, Rambaut A (2012) Bayesian phylogenetics with BEAUti and the BEAST 1.7. Mol Biol Evol 29: 751–761. 10.1093/molbev/msr232 PubMed DOI PMC
Swofford DL (2002) PAUP*: Phylogenetic Analysis Using Parsimony (*and Other Methods), Version 4 [Computer software and manual] Sunderland: Sinauer Associates.
Doadrio I, Perdices A (2005) Phylogenetic relationships among the Ibero-African cobitids (Cobitis, Cobitidae) based on cytochrome b sequence data. Mol Phylogenet Evol 37: 484–493. PubMed
Librado P, Rozas J (2009) DnaSP v5: A software for comprehensive analysis of DNA polymorphism data. Bioinformatics 25: 1451–1452. 10.1093/bioinformatics/btp187 PubMed DOI
Hudson RR, Boos DD, Kaplan NL (1992) A Statistical test for Detecting Geographic Subdivision. Mol Biol Evol 9: 138–151. PubMed
Beerli P (1998) Estimation of migration rates and population sizes in geographically structured populations In: Carvalho G, editor. Advances in molecular ecology. NATO-ASI workshop series Amsterdam: IOS Press; pp. 39–53.
Beerli P, Felsenstein J (2001) Maximum likelihood estimation of a migration matrix and effective population sizes in n subpopulations by using a coalescent approach. Proceedings of the National Academy of Sciences of the USA 98: 4563–4568. PubMed PMC
Beerli P (2009) How to use Migrate or why are markov chain monte carlo programs difficult to use? In: Bertorelle G, Bruford MW, Hauffe HC, Rizolli A, Vernese C, editors. Population Genetics for Animal Conservation, volume 17 of Conservation Biology. Cambridge: Cambridge University Press; pp. 42–47.
Frankham R, Bradshaw CJA, Brook BW (2014) Genetics in conservation management: Revised recommendations for 50/500 rules, Red List criteria and population viability analyses. Biol Conserv 170: 56–63.
Jiménez-Moreno G, Mandic O, Harzhauser M, Pavelić D, Vranjković A (2008) Vegetation and climate dynamics during the early Middle Miocene from Lake Sinj (Dinaride Lake System, SE Croatia). Review Paleobot Palyno 152: 237–245.
Harzhauser M, Mandić O, Latal C, Kern A (2012) Stabile isotope composition of the Miocene Dinaride Lake System deduced from its endemic mollusk fauna. Hydrobiologia 682: 27–46.
Ćorić S, Pavelić D, Rögl F, Mandić O, Vrabac S, Avanić R, et al. (2009) Revised middle Miocene datum for initial flooding of North Croatian Basins (Pannonian Basin system, Central Paratethys). Geol Croat 62: 31–43.
Neubauer TA, Mandic O, Harzhauser M (2011) Middle Miocene freshwater mollusks from Lake Sinj (Dinaride Lake Systems, SE Croatia; Langhian). Arch. Molluskunde 14012: 201–237.
Harzhauser M, Mandic O (2008) Neogene lake systems of Central and South-Eastern Europe: Faunal diversity, gradients and interrelations. Paleoecology 260: 417–434.
Surić M, Juračić M (2010) Late Pleistocene‒Holocene environmental changes–records from submerged speleothems along the Eastern Adriatic coast (Croatia). Geol Croat 63: 155–169.
Alfirević S (1965) Geologija Jadrana. Split: Matica hrvatska. (in Croatian).
Baučić I (1967) Cetina–razvoj reljefa i cirkulacije vode u kršu. Radovi Geografskog instituta Sveučilišta u Zagrebu 6. (in Croatian)
Por FD (2009) Tethys returns to the Mediterranean: Success and limits of tropical re-colonization. BioRisk 3: 5–19.
Franklin IR (1980) Evolutionary change in small populations In: Soulé ME, Wilcox BA, editors. Conservation Biology: An Evolutionary-Ecological Perspective. Sunderland: Sinauer: pp. 135–149.
Lj Marjanac, Marjanac T (2004) Glacial history of the Croatian Adriatic and coastal Dinarids In: Ehlers J, Gibbard PL, editors. Quaternary Glaciations–Extent and Chronology. Elsevier BV.
Feulner PGD, Chain FJJ, Panchal M, Huang Y, Eizaguirre C, Kalbe M, et al. (2015) Genomics of Divergence along Continuum of Parapatric Population Differentiation. PLoS Genet 11(2): e1004966 10.1371/journal.pgen.1004966 PubMed DOI PMC
Zou J, Sun Y, Li L, Wang G, Yue W, Lu Z, et al. (2013) Population genetic evidence for speciation pattern and gene flow between Picea wilsonii, P. morrisonicola and P. neoveitchii . Ann Bot 112: 1829–1844. 10.1093/aob/mct241 PubMed DOI PMC
Fraser DJ, Bernatchez L (2001) Adaptive evolutionary conservation: towards a unified concept for defining conservation units. Mol Ecol 10: 2741–2752. PubMed
Waples RS (1991) Pacific Salmon, Oncorhynchus spp. and the definition of ‘species’ under the endangered species act. Mar Fish Rev 53: 11–22.
Moritz C (1994) Defining ‘evolutionary significant units’ for conservation. Trends Ecol Evol 9: 373–375. 10.1016/0169-5347(94)90057-4 PubMed DOI
Ryder OA (1986) Species conservation and systematics: the dilemma of subspecies. Trends Ecol Evol 1: 9–10.
Waples RS (1995) Evolutionary significant units and the conservation of biological diversity under the Endangered Species Act. In: Nielsen JL, Powers GA, editors. Evolution and the Aquatic Ecosystem: Defining unique Units in Population Conservation. Syposium 17. Bethesda: American Fisheries Society. pp. 8–27.
Shaffer MK (1981) Minimum viable populations size for conservation. Bioscience 31: 131–134.
Gilpin ME, Soulé ME (1986) Minimum viable populations: processes of species extinction In: Soulé ME, Wilcox BA, editors. Conservation Biology: An Evolutionary-Ecological Perspective. Sunderland: Sinauer: pp. 19–34.
Gärdenfors U, Hilton-Taylor C, Mace GM, Rodriguez JP (2001) The application of IUCN Red List criteria at regional levels. Conserv Biol 16: 511–516.
Brito D, Ambal RG, Brooks T, Silva ND, Foster M, Wang H, et al. (2010) How similar are national red lists and the IUCN Red List? Biol Conserv 143: 1154–1158.
Akçakaya HR, Butchart SHM, Mace GM, Stuart SN, Hilton-Taylor C (2006) Use and misuse of the IUCN Red List Criteria in projecting climate change impacts on biodiversity. Glob Chang Biol 12: 2037–2043.
Bender M, Floeter S, Ferreira C, Hanazaki N (2012) Mismatches between global, national and local red lists and their consequences for Brazilian reef fish conservation. Endanger Species Res 18: 247–254.
Hidasi-Neto J, Loyola RD, Cianciaruso MV (2013) Conservation Actions Based on Red Lists Do Not Capture the Functional and Phylogenetic Diversity of Birds in Brazil. PLoS ONE 8(9): e73431 10.1371/journal.pone.0073431 PubMed DOI PMC
Moran P (2002) Current conservation genetics: building an ecological approach to the synthesis of molecular and quantitative genetic methods. Ecol Freshw Fish 11: 30–55.
Frankham R, Ballou JD, Briscoe DA (2010) Introduction to Conservation Genetics Cambridge: Cambridge University Press.
Allendorf FW, Luikart GH (2007) Conservation and the Genetics of Populations Oxford: Wiley-Blackwell.