Population structure and genetic diversity of black redhorse (Moxostoma duquesnei) in a highly fragmented watershed

Conservation Genetics

Volumn 9, Issue 3, 2008, Pages 531-546

  Reid, Scott M ^a   Wilson, Chris C ^a   Mandrak, Nicholas E ^b   Carl, Leon M ^c  

^a TRENT UNIVERSITY   (Canada)

^b GREAT LAKES LABORATORY FOR FISHERIES AND AQUATIC SCIENCES   (Canada)

^c U S GEOLOGICAL SURVEY   (United States)

Author keywords

Dams; Genetic diversity; Habitat fragmentation; Moxostoma; Population structure

Indexed keywords

DAM; GENETIC DIFFERENTIATION; HABITAT FRAGMENTATION; POPULATION BOTTLENECK; POPULATION GENETICS; POPULATION STRUCTURE; TELEOST; WATERSHED;

CANADA; GRAND RIVER [ONTARIO]; NORTH AMERICA; ONTARIO [CANADA];

MOXOSTOMA; MOXOSTOMA DUQUESNEI;

EID: 42549168463     PISSN: 15660621     EISSN: 15729737     Source Type: Journal    
DOI: 10.1007/s10592-007-9367-2     Document Type: Article

References (79)

1. Allendorf FW (1986) Genetic drift and the loss of alleles versus heterozygosity. Zoo Biol 5:181-190
2. Allendorf FW, Ryman N (2002) The role of genetics in PVA. In: Beissinger SR, McCullough DR (eds) Population viability analysis. University of Chicago Press, Chicago, pp 50-85
3. Belkhir K, Castric V, Bonhomme F (2002) IDENTIX, a software to test for relatedness in a population using permutation methods. Mol Ecol Notes 2:611-614
4. Biotactic (2006) Fish movement at the Springbank Dam during open flow conditions: pre-construction baseline monitoring. Prepared for the City of London and the Upper Thames River Conservation Authority
5. Bohonak AJ (2002) IBD (Isolation By Distance): a program for analysis of distance. J Hered 93:153-154
6. Bowman ML (1970) Life history of the black redhorse, Moxostoma duquesnei (Leseur), in Missouri. Trans Am Fish Soc 99:546-559
7. Bunt CM, van Poorten BT, Wong L (2001) Denil fishway utilization patterns and passage of several warmwater species relative to seasonal, thermal and hydraulic dynamics. Ecol Freshwater Fish 10:212-219
8. Castric V, Bernatchez L (2004) Individual assignment tests reveals differential restriction to dispersal between salmonids despite no increase of genetic distances with distance. Mol Ecol 13:1299-1312
9. Cavalli-Sforza LL, Edwards WWF (1967) Phylogenetic analysis: models and estimation procedures. Evolution 32:550-570
10. Ciofi C, Beaumnont MA, Swingland IR, Bruford MW (1999) Genetic divergence and units for conservation in the Komodo dragon Varanus komodoensis. Proc Royal Soc London B-Biol Sci 266:2269-2274
11. Committee on the Status of Endangered Wildlife in Canada (COSEWIC) (2004) COSEWICs assessment process and criteria. Available from http://www.cosewic.gc. ca
12. Committee on the Status of Endangered Wildlife in Canada (COSEWIC) (2005) COSEWIC assessment and status update report on the black redhorse Moxostoma duquesnei in Canada. Available from http://www.sararegistry.gc.ca
13. Committee on the Status of Endangered Wildlife in Canada (COSEWIC) (2006) Canadian species at risk. Available from http://www.cosewic.gc.ca
14. Cornuet JM, Luikart G (1996) Description and power analysis of two tests for detecting recent population bottlenecks from allele frequency data. Genetics 144:2001-2014
15. Crispo E, Hendry AP (2005) Does time since colonization influence isolation by distance? A meta-analysis. Conserv Genet 6:665-682
16. Debinski DM, Holt RD (2000) Review: a survey and overview of habitat fragmentation experiments. Conserv Biol 14:342-355
17. Denier K, Garza JC, Coey R, Gorman DJ (2007) Population structure and genetic diversity of trout (Onchorynchus mykiss) above and below natural and man-made barriers in the Russian River, California. Conserv Genet 8:437-454 DOI 10.1007/s10592-006-9183-0
18. DeWoody JA, Avise JC (2000) Microsatellite variation in marine, freshwater and anadromous fishes compared to other animals. J Fish Biol 56:461-473
19. Eley R, Randolph J, Carroll J (1981) A comparison of pre- and post-impoundment fish populations in the Mountain Fork River in southwestern Oklahoma. Proc Oklahoma Acad Sci 61:7-14
20. Evanno G, Regault S, Goudet J (2005) Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study. Mol Ecol 14:2611-2620
21. Ewers RM, Didham RK (2006) Confounding factors in the detection of species responses to habitat fragmentation. Biol Rev 81:117-142
22. Frankham R (1996) Relationship of genetic variation to population size in wildlife. Conserv Biol 10:1500-1508
23. Frankham R, Ballou JD, Brisoce DA (2002) Introduction to conservation genetics. Cambridge University Press, Cambridge
24. Gaggiotti OE, Lange O, Rassmann K, Glidden C (1999) A comparison of two indirect methods for estimating gene flow using microsatellite data. Mol Ecol 8:1513-1520
25. Garza JC, Williamson EG (2001) Detection of reduction in population size using data from microsatellite loci. Mol Ecol 10:305-318
26. Goudet J (2001) FSTAT, a program to estimate and test gene diversities and fixation indices (version 2.9.3). Available from http://www.unil.ch/izea/ softwares/fstat.html
27. Hanfling B, Weetman D (2006) Concordant genetic estimators of migration reveal anthropogenically enhanced source-sink population structure in the river sculpin, Cottus gobio. Genetics 173:1487-1501
28. Hedrick PW (2000) Genetics of populations, 2nd edn. Jones and Bartlett Publishers, Sudbury, Massachusetts
29. Heggenes J, Roed KH (2006) Do dams increase genetic diversity in brown trout (Salmo trutta)? Microgeographic differentiation in a fragmented river. Ecol Freshwater Fish 15:366-375
30. Hernandez-Martich JD, Smith MH (1997) Downstream geneflow and genetic structure of Gambusia holbrooki (eastern mosquitofish) populations. Heredity 79:295-301
31. Hildebrand RH (2003) The roles of carrying capacity, immigration and population synchrony on persistence of stream resident cutthroat trout. Biol Conserv 110:257-266
32. Hutchinson DW, Templeton AR (1999) 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
33. Jager HI (2006) Chutes and ladders and other game we play with rivers. I. Simulated effects of upstream passage on white sturgeon. Can J Fish Aquat Sci 63:165-175
34. Jager HI, Chandler JA, Lepla KB, Van Winkle W (2001) A theoretical study of river fragmentation by dams and its effects on white sturgeon populations. Environ Biol Fish 60:347-361
35. Jenkins RE, Burkhead NM (1993) Freshwater fishes of Virginia. American Fisheries Society, Bethesda
36. Knaepkens G, Bruyndancx L, Eens M (2004) Assessment of residency and movement of the endangered bullhead (Cottus gobio) in two Flemish rivers. Ecol Freshwater Fish 13:317-322
37. Kott E, Jenkins RE, Humphreys G (1979) Recent collections of the black redhorse, Moxostoma duquesnei, from Ontario. Can Field Nat 93:63-66
38. Kott E, Rathmann N (1985) Distribution and fecundity of black redhorse sucker (Moxostoma duquesnei) in the upper Grand River basin. Wilfred Laurier University Research Paper No. 8575
39. Kwak TJ, Skelly TM (1992) Spawning habitat, behaviour and morphology as isolating mechanisms of the golden redhorse, Moxostom erythrurum, and the black redhorse, M. duquesnel, two synoptic fishes. Environ Biol Fish 34: 1027-1137
40. Latch EK, Dharmarajan G, Glaubitz JC, Rhodes OE Jr (2006) Relative performance of Bayesian clustering software for inferring population substructure and individual assignment at low levels of population differentiation. Conserv Genet 7:295-302
41. Lippe C, Dumont P, Bernatchez L (2004) Isolation and identification of 21 microsatellite loci in copper redhorse (Moxostoma hubbsi; Catostomidae) and their variability in other catostomids. Mol Ecol Notes 4:638-641
42. Lippe C, Dumont P, Bernatchez L (2006) High genetic diversity and no inbreeding in the endangered copper redhorse, Moxostoma hubbsi (Catostomidae, Pisces): the positive sides of a long generation time. Mol Ecol 15:1769-1780
43. Meldgaard T, Nielson EE, Loeschcke V (2003) Fragmentation by weirs in a riverine system: a study of genetic variation in time and space among populations of European grayling (Thymallus thymallus) in a Danish river system. Conserv Genet 4:735-747
44. NatureServe (2005) NatureServe explorer: an online encyclopedia of life. Version 3.0. Available for the Internet URL http://www.natureserve.org
45. Neraas LP, Spruell P (2001) Fragmentation of riverine systems: the genetic effects of dams on bull trout (Salvelinus confluentus) in the Clark Fork River system. Mol Ecol 10:1153-1164
46. Page RDM (1996) TREEVIEW: an application to display phylogenetic trees on personal computers. Comp Appl Biosci 12: 357-358
47. Park SDE (2001) Trypanotolerance in West African cattle and the population genetic effects of selection. Dissertation, University of Dublin
48. Patriarche MH, Campbell RS (1958) The development of the fish population in a new flood control reservoir in Missouri, 1948 to 1954. Trans Am Fish Soc 87:240-258
49. Peakall R, Smouse PE (2006) GENALEX 6: genetic analysis in Excel. Population genetic software for teaching and research. Mol Ecol Notes 6: 288-295
50. ST: analysis of population genetic data for conservation. Conserv Genet 5:585-602
51. Piry S, Luikart G, Cornuet J (1999) BOTTLENECK: a computer program for detecting recent reductions in effective population size using allele frequency data. J Hered 90:502-503
52. Poff NL, Hart DD (2002) How dams vary and why it matters for the emerging science of dam removal. Bioscience 52:659-668
53. Portt C, Coker G, Barrett K (2006) Recovery strategy for fish species at risk in the Grand River in Canada [Proposed]. Species at risk act recovery strategy series. Fisheries and Oceans Canada, Ottawa
54. Pritchard JK, Stephens M, Donnelly P (2000) Inference of population structure from multilocis genotype data. Genetics 155:945-959
55. Queller DC, Goodnight KF (1989) Estimating relatedness using genetic markers. Evolution 43:258-275
56. Quinn JW, Kwak TJ (2003) Fish assemblage change in an Ozark River after impoundment: a long-term perspective. Trans Am Fish Soc 132:110-119
57. Raymond M, Rousset F (1995) GENEPOP (version 1.2): population genetics software for exact test and ecumenicism. J Hered 86:248-249
58. Reid SM (2006) Timing and characteristics of Moxostoma spawning runs in three Great Lakes rivers. J Freshwater Ecol 21:249-258
59. Reid SM, Carl LM, Wilson CC, Mandrak NE (2006) Influence of dams and habitat condition on Moxostoma species distribution in the Grand River, Ontario. Environ Biol Fish (in press). DOI 10.1007/s10641-006-9179-0
60. Rousset F (1997) Genetic differentiation and estimation of gene flow from F-statistics under isolation by distance. Genetics 145:1219-1228
61. Ruzzante DE (1997) A comparison of several measures of genetic distance and population structure with microsatellite data: bias and sampling bias. Can J Fish Aquat Sci 55:1-14
62. Ryman N, Palm S, André C, Carvalho GR, Dahlgren TG, Jorde PE, Laikre L, Larsson L (2006) Power for detecting genetic divergence: differences between statistical methods and marker loci. Mol Ecol 15:231-245
63. Santucci VJ, Gephard SR, Pescitelli SM (2005) Effects of multiple low-head dams on fish, macroinvertebrates, habitat, and water quality in the Fox River, Illinois. N Am J Fish Manage 25:975-992
64. Slatkin M (1993) Isolation by distance in equilibrium and non-equilibrium populations. Evolution 47:264-279
65. Smith CG (1977) The biology of three species of Moxostoma (Pisces: Catostomidae) in Clear Creek, Hocking and Fairfield Counties, Ohio, with emphasis on the golden redhorse (Rafinesque). Dissertation, Ohio State University
66. Southam CF, Mills BN, Moultan RJ, Brown DW (1999) The potential impact of climate change in Ontario's Grand River basin: water supply and demand issues. Can Wat Res J 24:307-330
67. Swink WD, Jacobs KE (1983) Influence of a Kentucky flood-control reservoir on the tailwater and headwater fish populations. N Am J Fish Manage 3:197-203
68. Takezaki N, Nei M (1996) Genetic distance and reconstruction of phylogenetic trees from microsatellite DNA. Genetics 144:389-399
69. Taylor EB, Stamford MD, Baxter JS (2003) Population subdivision in westslope cutthroat trout (Oncorhynchus clarki lewisi) at the northern periphery of its range: evolutionary inferences and conservation implications. Mol Ecol 12:2609-2622
70. Thames River Recovery Team (TRRT) (2005) Recovery strategy for the Thames River Watershed, Ontario [Proposed] Species at risk act recovery strategy series. Fisheries and Oceans Canada, Ottawa
71. Tranah GJ, Agresti JJ, May B (2001) New microsatellite loci for suckers (Catostomidae): primer homology in Catostomus, Chasmistes and Deltistes. Mol Ecol Notes 1:55-60
72. Vallone PM, Butler JM (2004) AutoDimer: a screening tool for primer-dimer and hairpin structures. BioTechniques 37:226-231
73. Van Oosterhout C, Hutchinson WF, Wills DPM, Shipley P (2004) MICRO-CHECKER: software for identifying and correcting genotyping errors in microsatellite data. Mol Ecol Notes 4:535-538
74. Waples RS (2002) Definition and estimation of effective population size in the conservation of endangered species. In: Beissinger SR, McCullough DR (eds) Population viability analysis. University of Chicago Press, Chicago, pp 147-168
75. Waples RS, Gaggiotti O (2006) What is a population? An empirical evaluation of some genetic methods for identifying the number of gene pools and their degree of connectivity. Mol Ecol 15:1419-1439
76. Weir BS, Cockerham CC (1984) Estimating F-statistics for the analysis of population structure. Evolution 38:1358-1370
77. Whitehead A, Anderson SL, Kuivila KM, Roach JL, May B (2003) Genetic variation among interconnected populations of Catostomus occidentalis: implications for distinguishing impacts of contaminants from biogeographic structuring. Mol Ecol 12:2817-2833
78. Whiteley AR, Spruell P, Allendorf FW (2004) Ecological and life history characteristics predict population genetic divergence of two salmonids in the same landscape. Mol Ecol 13:3675-3688
79. Yamamoto S, Morita K, Koizumi I, Maekawa K (2004) Genetic differentiation of white-spotted charr (Salvelinus leucomaenis) populations after habitat fragmentation: spatial-temporal changes in gene frequencies. Conserv Genet 5:529-538