- Research article
- Open Access
Watershed boundaries and geographic isolation: patterns of diversification in cutthroat trout from western North America
© Loxterman and Keeley; licensee BioMed Central Ltd. 2012
- Received: 27 October 2011
- Accepted: 19 March 2012
- Published: 19 March 2012
For wide-ranging species, intraspecific variation can occur as a result of reproductive isolation from local adaptive differences or from physical barriers to movement. Cutthroat trout (Oncorhynchus clarkii), a widely distributed fish species from North America, has been divided into numerous putative subspecies largely based on its isolation in different watersheds. In this study, we examined mtDNA sequence variation of cutthroat trout to determine the major phylogenetic lineages of this polytypic species. We use these data as a means of testing whether geographic isolation by watershed boundaries can be a primary factor organizing intraspecific diversification.
We collected cutthroat trout from locations spanning almost the entire geographic range of this species and included samples from all major subspecies of cutthroat trout. Based on our analyses, we reveal eight major lineages of cutthroat trout, six of which correspond to subspecific taxonomy commonly used to describe intraspecific variation in this species. The Bonneville cutthroat trout (O. c. utah) and Yellowstone cutthroat trout (O. c. bouvieri) did not form separate monophyletic lineages, but instead formed an intermixed clade. We also document the geographic distribution of a Great Basin lineage of cutthroat trout; a group typically defined as Bonneville cutthroat trout, but it appears more closely related to the Colorado River lineage of cutthroat trout.
Our study indicates that watershed boundaries can be an organizing factor isolating genetic diversity in fishes; however, historical connections between watersheds can also influence the template of isolation. Widely distributed species, like cutthroat trout, offer an opportunity to assess where historic watershed connections may have existed, and help explain the current distribution of biological diversity across a landscape.
- Cutthroat Trout
- Watershed Boundary
- Yellowstone Cutthroat Trout
- Westslope Cutthroat Trout
- Lahontan Cutthroat Trout
Species with wide geographic ranges often exhibit significant morphological, behavioral, or genetic variability across their range . Such differences have been attributed to local adaptation and genetic drift as a result of isolation of populations by limited gene flow . Although the importance of within-species diversity has been increasingly recognized by subspecific taxonomy, distinct population segments, and evolutionarily significant units [3, 4], most studies have focused on understanding how phenotypic variability can influence the distributional limits of a species . Intraspecific variability can represent significant adaptive potential allowing a species to occupy a broad range of ecological conditions or adapt to changing environmental conditions . In addition to understanding the potential importance of phenotypic limits to a species distribution, past studies have also tried to identify physiographic features that may facilitate, organize, or constrain diversification of species that are distributed over large geographic areas [7, 8].
Across a landscape, geographic isolation may arise as a consequence of barriers to movement from mountain building, glacial events, continental drift or a combination of factors . While wide-ranging terrestrial species can exhibit geographic isolation and population structuring [10, 11], aquatic species and freshwater fishes, in particular, often exhibit strong population structure likely resulting from their confinement to the network or 'ribbons' of water that flow across the landscape. The height of land that separates watershed boundaries and the relatively common occurrence of movement barriers within watersheds often isolate fish populations allowing for significant genetic differentiation [12–15].
In addition to the slow and continuous erosive changes to watersheds, major drainage patterns can be changed by events such as volcanic or glacial flows, or by climatic changes in precipitation that can connect or isolate watersheds [16–18]. Newly created watershed connections are thought to be important influences shaping community composition for organisms like fishes that are obligatorily confined to the network of streams and lakes by allowing species that were previously isolated to expand their geographic range . In contrast, populations of the same species that become isolated by loss of connectivity may diversify into new forms representing early stages of speciation .
Given their range and distribution, cutthroat trout populations offer an excellent opportunity to examine how geographic features such as major watershed boundaries can organize and shape genetic diversification in wide-ranging fish species. Similarly, their distribution across geographic regions that have experienced significant changes in climatic conditions also offers an opportunity to understand how physiographic changes in climate can influence the template of diversification by watershed isolation.
In this study we examine how the diversity and evolutionary history of a widely distributed fish species can be organized by primary geographic features such as watershed boundaries and how such organization may also be influenced by historic events that have connected watersheds but are no longer visible on the landscape. Although intraspecific taxonomic categories are often used in the management of cutthroat trout populations  there is remarkably little comparative data to assess whether subspecific differences capture or reliably organize the diversity present in this widely distributed species. In this study we sampled cutthroat trout from throughout their geographic range to compile a comprehensive database of mtDNA sequence data as a means of documenting the evolutionary history of cutthroat trout. By doing so, we test how well geographic features and past subspecific divisions of cutthroat trout represent the diversity within this species and how past connections between watersheds may have influenced this organization.
We sampled extant populations of cutthroat trout from 311 locations representing the majority of their geographic range (Figure 1, Additional file 1: Table S1) to compare mitochondrial (mtDNA) sequence divergence at the NADH dehydrogenase subunit 2 gene (ND2) and determine major phylogenetic branching among groups. Past taxonomic evaluations of cutthroat trout have listed up to 14 different subspecies of cutthroat trout [20, 24]. In our study we included samples from eight major subspecies that are commonly recognized, including: Bonneville cutthroat trout (Oncorhynchus clarkii utah), coastal cutthroat trout (O. c. clarkii), Colorado River cutthroat trout (O. c. pleuriticus), greenback cutthroat trout (O. c. stomias), Lahontan cutthroat trout (O. c. henshawi), Rio Grande cutthroat trout (O. c. virginalis), westslope cutthroat trout (O. c. lewisi), and Yellowstone cutthroat trout (O. c. bouvieri). We also included samples of cutthroat trout from populations considered by some to be separate subspecies of cutthroat trout, including willow/Whitehorse (O. c. ssp.), Paiute (O.c. seleneris) Humboldt (O. c. humboldtensis), and fine-spotted Snake River (O. c. behnkei) cutthroat trout [19, 20, 25]. Two other subspecies, the Alvord cutthroat trout (O. c. alvordensis) and yellowfin cutthroat trout (O. c. macdonaldi), are thought to be extinct . Because we were interested in examining geographic patterns of natural variation in sequence divergence, we sampled populations that are believed to be representative of native populations. In addition, we sampled nine rainbow trout (O. mykiss) populations to use as an outgroup for our phylogenetic analyses (Additional file 1: Table S1).
To collect cutthroat trout from as wide a geographic range as possible, we used a variety of sampling techniques. In streams, we used a backpack or boat-mounted electroshocker or angled for fish. For lake populations, we sampled fish by angling, or by using multi-panel monofilament gillnets, minnow traps, or trap nets. Captured fish were held in a 20 L container with fresh water, and a 3-5 mm fin clip was taken from each fish and stored in a uniquely numbered vial with 95% ethanol. In four locations, supplementary genetic samples were provided by researchers using similar sampling methods.
In addition to the 311 locations we physically sampled or were sampled for us, we also searched the National Center for Biotechnology Information's GenBank database http://www.ncbi.nlm.nih.gov/genbank/ for ND2 sequences of cutthroat trout. We included samples from this database in geographic comparisons whenever we could identify locations either in the GenBank database or from corresponding publications that provided location information (Additional file 2: Table S2).
DNA extraction and mtDNA sequencing
DNA was extracted from fin clips using the ZR Genomic DNA tissue extraction kit (Zymo Research) following the manufacturer's protocol. Mitochondrial DNA variation was analyzed using the entire ND2 gene and was amplified by polymerase chain reaction (PCR) using the sequencing primers NDintF6 (5' TAAGCTTTCGGGCCCATACC 3') and NDVarR (5'GCT TTG AAG GCT CTT GGT CT 3') [26, 27]. Our PCR reactions were performed in 25 μl volumes using 8 μL of 2X ReddyMix PCR Master Mix (ABgene), 1 μL (10 mM) of each primer, and 2 μL of genomic DNA. The thermal profile included an initial 94°C denaturation followed by 35 cycles at 94° for 30 s, annealing at 58°C for 45 s, and extension at 72°C for 75 s, with a final extension at 72°C for 10 min. PCR products were submitted to the University of Washington High-throughput genomics unit for purification and DNA sequencing.
Sequence data analysis
We edited and aligned the sequences using Sequencher v4.9 (Gene Codes Corporation) and the online version of Muscle . Unique sequences were submitted to GenBank with accession numbers as reported in Additional file 1: Table S1. To illustrate the relationship between unique cutthroat trout haplotypes, we constructed a minimum spanning network using representatives of each unique ND2 haplotype and the program Arlequin v3.5 . Mitochondrial DNA polymorphism was estimated as haplotype (h) and nucleotide (π) diversity, as well as the percent sequence divergence between groups using DNAsp v5  and Mega v5.01  software.
For our phylogenetic analyses, we included one sequence representing each unique haplotype, as well as rainbow trout sequences, which were used as an outgroup. Phylogenies were estimated by maximum likelihood (ML) and Bayesian analyses. For our ML analysis, we used the Tamura-Nei substitution model with invariant sites and gamma-distributed rates among sites based on jModeltest  results and generated 1000 bootstrap replicates as implemented in the program Phyml v3.0 . Our Bayesian analysis was conducted using MrBayes v3.1.2 [34, 35] with the GTR + I + Γ model based on MrModeltest . The analyses included two independent runs for 5.5 million generations each and were sampled every 100th generation. The first 25% of samples were discarded as "burn-in" to ensure sampling from a stationary posterior distribution.
We used the primary lineages derived in phylogenetic analyses to compare the sequence diversity within and among groups and estimate their divergence times. The proportion of diversity within and among primary phylogenetic groups was estimated using an AMOVA as implemented in Arlequin v3.5. We estimated divergence times between primary cutthroat trout lineages by first testing for equal evolutionary rates between lineages using Tajima's relative rate test  and then calibrating and linearizing our phylogenetic tree using Mega 5.01 software. We applied the estimated divergence time of 6 million years ago (mya) to the node between rainbow trout and cutthroat trout to calibrate our tree. This divergence time is based on the combination of fossil data and DNA sequence data  and is within the range of proposed estimates of divergence between rainbow trout and cutthroat trout .
Main groupings or taxa used in phylogenetic comparisons of cutthroat trout and rainbow trout, sample size (N), number of unique haplotypes, haplotype diversity (h) and nucleotide diversity (π)
coastal cutthroat trout
westslope cutthroat trout
Bonneville-Yellowstone cutthroat trout
Lahontan cutthroat trout
greenback cutthroat trout
Great Basin cutthroat trout
Colorado River cutthroat trout
Rio Grande cutthroat trout
Primary phylogenetic lineages
Pairwise percent sequence divergence of the ND2 gene between major cutthroat trout phylogenetic clades and rainbow trout
Results of the relative rate test indicated that we were able to apply a molecular clock to our data. Thus, based on the assumption of 6 million years between rainbow trout and cutthroat trout divergence, we estimated that all cutthroat trout shared a common ancestor approximately 1.97 mya, when there was a primary divergence between the lineage that includes the Bonneville-Yellowstone, Lahontan, westslope, and coastal groups versus the lineage including the greenback, Rio Grande, Great Basin, and Colorado River groups. Within each of these major cutthroat trout clades, the Bonneville-Yellowstone lineage was estimated to have diverged from other members of its group at 1.9 mya, followed by the coastal group at 1.85 mya, then between the westslope and Lahontan clades about 1.43 mya (Figure 3a). The Colorado River lineage of cutthroat trout was estimated to have diverged within its subclade at 1.41 mya, followed by the Great Basin lineage at 1.38 mya, and finally between the greenback and Rio Grande lineages at 0.94 mya (Figure 3a).
In this study we examined how cutthroat trout diversity may be organized by isolation into major geographic boundaries. Our data indicate that watershed boundaries do organize primary phylogenetic divisions in cutthroat trout, but historical connections that are no longer evident also appear to have influenced the pattern of diversification. Our range-wide analysis of cutthroat trout diversification provides an additional line of evidence for historic watershed connections that have long been suggested by geologists and are of interest to biologists as a means of explaining the current distribution of fish fauna across a landscape [8, 16, 18, 43].
Intraspecific taxonomic evaluations of cutthroat trout have described up to 14 different subspecies of cutthroat trout, two of which are now considered to be extinct [20, 24]. Of the subspecies we evaluated, the Bonneville-Yellowstone, Colorado River, Rio Grande, greenback, and Lahontan lineages are delimited at least in part by the height of land defining major portions of watersheds. Based on the mtDNA sequence data we compared and the partitioning of genetic variance, cutthroat trout can be divided into eight major lineages that correspond with six of the primary subspecies of cutthroat trout commonly recognized. Hence, watershed boundaries and the intraspecific taxonomic categories that have been used to describe this diversity have been relatively successful in capturing a significant component of the evolutionary diversification in cutthroat trout.
If a molecular clock is applied to the sequence divergence, we estimate an initial divergence from a common ancestor approximately 2 mya. This primary divergence led to one major clade that includes the Bonneville-Yellowstone, Lahontan, westslope, and coastal lineages. The second branch includes the greenback, Rio Grande, Great Basin, and Colorado River lineages. The pattern of haplotype diversification indicates that the lineage leading to the Bonneville-Yellowstone clade was first to diverge from the common ancestor of all cutthroat trout, which may have first colonized the ancestral Snake River as well as areas that are now part of Colorado River watershed. Although the pattern of colonization can never be known with exact certainty, drainage patterns have changed significantly over the period of time estimated from the divergence of the ancestral cutthroat trout. The greatest divergence of cutthroat trout between the Snake and Colorado River drainages indicates a former connection between the two drainages that has since isolated these two main lineages for the longest period of time. Geologic evidence does point to connections between areas that are now in the upper Colorado River watershed but were once part of the Bear River of Idaho, Utah, and Wyoming .
Within each of the main lineages of cutthroat trout, the pattern of relatedness also indicates how several sub-basins may have been connected to each other. The next closest associations within the Bonneville-Yellowstone group are those from coastal cutthroat trout populations followed by a split between populations from the Lahontan basin (and adjacent areas) and westslope cutthroat trout from the Columbia River as well as populations from eastern drainages across the Continental Divide. Downstream colonization and origin of coastal cutthroat trout could have occurred if the ancestral Snake River was connected to the Columbia watershed or other rivers draining to the Pacific Ocean, but the association of the coastal cutthroat trout with westslope cutthroat trout found in Columbia drainages suggests that the Snake River was part of the Columbia watershed when the lineages emerged. Despite the proximity of some parts of the Lahontan basin to areas of the Colorado River watershed, Hubbs and Miller  noted the similarity of the Lahontan fish fauna with that of Columbia, Sacramento, and Death Valley watersheds, indicating that the Lahontan basin was at one time connected to one of these systems and not the Colorado River watershed. Our sequence data on cutthroat trout again point to a connection with the Columbia watershed based on similarity of lineages also found between the watersheds. Finally, the associations of the greenback, Rio Grande, and Great Basin lineages with that of the Colorado lineage all indicate that they were derived in an earlier form of the Colorado River basin. Based on the evolutionary history of the ND2 gene, our data indicate a complex history of isolation and evolutionary divergence of the ancestral Colorado lineage of cutthroat trout. This divergence led to the current Colorado lineage as well as the Rio Grande and Great Basin lineages. The lineage that led to the Rio Grande also appears to have given rise to the greenback lineage, which subsequently colonized its current distribution. The presence of greenback cutthroat trout in eastern draining rivers, or rivers draining to the south in the case of Rio Grande cutthroat, indicate transfers of populations through headwater connections and subsequent isolation. As Minckley and others  note, fish species that commonly penetrate into headwater streams often have representative populations across drainage divides presumably by finding connections, even if they occur infrequently, and are further isolated over longer time periods by the elevation of land.
Two subspecies that did not form monophyletic lineages were the Bonneville and Yellowstone cutthroat trout. The core distribution of Bonneville cutthroat trout is thought to occur in the Bear River, a watershed that originates in the Uinta Mountains of northeastern Utah and flows northward into Wyoming and Idaho before turning sharply back southward towards Utah and the Great Salt Lake (Figure 5). Such a dramatic change of direction is probably representative of stream capture, and in fact the Bear River is thought to have been a tributary to the upper Snake River . Between 600 000 and 50 000 years ago, lava flows crossed the Soda Springs area of the Bear River valley and forced the path of the river to change direction southward . A past connection between the Bear River and upper Snake River would explain the intermixing of the primary lineages of cutthroat trout found in these two watersheds, as well as the morphological similarities observed between these two subspecies [24, 45]. The presence of the two main cutthroat trout lineages in the upper Snake River, but only one in the Bear River would suggest that it originated in the Bear River and subsequently colonized downstream to the Snake River, whereas the second lineage was unable to colonize upstream to the Bear River.
A new perspective generated from our range wide analysis was the geographic distribution and position of what we have referred to as the Great Basin clade of cutthroat trout. Although some previous studies have detected and noted the dramatic genetic divergence of representative samples from this lineage [27, 39], our study provides a clearer picture of its geographic distribution and its position within the phylogeny of cutthroat trout. Our data indicate that despite its proximity to the Bear River and upper Snake River watersheds, it is more closely related to the major diversification of cutthroat trout that includes the Colorado River, greenback, and Rio Grande clades of cutthroat trout. Such a relationship again points to historic connections between watersheds now isolated from each other. As Smith and collaborators  note, previous studies have documented possible hydrological connections between the Bonneville basin and the Colorado River watershed. Connections between these watersheds would be congruent with the Great Basin lineage of cutthroat trout arising in an ancient Colorado River area that either invaded the Bonneville basin by a past connection or evolved within the basin when some parts drained toward the Colorado River watershed. The presence of the Great Basin cutthroat lineage in the upper Snake River may also represent past hydrological connections between the Snake River and the Bonneville basin, but were probably more recent, corresponding to well-documented Pleistocene connections . Approximately 15 000 years ago, Red Rock pass in southeast Idaho was the path of overflow of Lake Bonneville into the upper Snake River travelling through upper Marsh Creek and the Portneuf River; the same location where we detected the Great Basin cutthroat trout lineage . The second location where we observed the Great Basin lineage in the upper Snake River watershed was in the Raft River drainage in southern Idaho, about 150 km to the west of the Portneuf River (Figure 5). This area borders the Bonneville basin and our data suggest that part of the current Raft River drainage was previously in the Bonneville basin and has been captured by the Snake River watershed, isolating the Great Basin cutthroat trout in the headwater tributary streams observed today. Such captures may not be too unexpected because of the gradual subsidence of the Snake River plain that may capture streams bordering the region . As noted in phylogeographic studies of galaxiid fish in New Zealand, geographic patterns of genetic diversity can provide an additional line of evidence to infer historical changes to drainage patterns on the landscape .
Watershed boundaries and barriers to movement can organize major phylogenetic lineages for freshwater fishes in some cases but appear to be most important when populations have been isolated within them for extended periods of time. Glaciated areas often appear to have been more recently connected, allowing major lineages to disperse from glacial refugia over large geographic areas, as illustrated by examples of lake trout (Salvelinus namaycush) and lake whitefish (Coregonus clupeaformis). Each of these species is thought to have dispersed through large proglacial lakes that submerged or connected a number of contemporary watersheds in North America [49, 50]. Populations of freshwater fish that have not established themselves by dispersal into recently de-glaciated areas appear much more likely to exhibit significantly greater evolutionary diversification as a consequence of isolation within watershed boundaries [13, 15, 51]. As a widely distributed species spanning both glaciated and non-glaciated regions of North America, cutthroat trout exhibit reduced haplotype diversity at the northern periphery of its range and higher levels to the south. A reduction in genetic diversity in northern regions is concordant with a pattern of dispersal from a past southern glacial refuge, illustrating the importance of past geologic events on the phylogenetic structure of a freshwater fish species .
As a widely distributed trout species in North America, cutthroat trout have received a great deal of interest as a sport fish, but have also suffered severe declines in abundance when populations have been affected by human plans for consumption of water, land, or introductions of non-native species (see Trotter  for a review). Despite early and more recent attempts to describe the diversity of cutthroat trout [21, 24] it is somewhat surprising that there is remarkably little comparative data to support subspecific designations commonly used to manage different cutthroat trout populations . Perhaps as a result of a lack of such data, only one taxonomic ranking of cutthroat trout is currently recognized by the joint Committee on Names of Fishes, sponsored by the American Fisheries Society and the American Society of Ichthyologists and Herpetologists , and possibly because of the difficulty in diagnosing subspecies of cutthroat trout with traditional meristic characters . A number of previous studies have provided evidence for significant genetic diversification of cutthroat trout [55–58] and even phylogenetic comparisons of representative populations from different parts of the species range [27, 39, 59]. However, our study provides the first range-wide comparison attempting to identify major phylogenetic lineages over much of the geographic area occupied by this polytypic species.
Our analysis provides a better understanding of the main evolutionary lineages of cutthroat trout and their geographic distribution. Similar components have been proposed as a basis for organizing management and conservation units of species [3, 60]. Although primary evolutionary lineages of cutthroat trout may be a logical starting point for management units, even with the addition of genetic diversity at nuclear loci, they may not capture important ecological variation that can occur has as result of local adaption to specific conditions [61, 62]. Hence, in addition to measures of mtDNA and nuclear DNA divergence, ecological diversification not always apparent from molecular phylogenies should also be considered in attempts to preserve the diversity present within a species. Indeed, salmonid fishes often exhibit significant ecological variation  and cutthroat trout in particular have been observed to exhibit significant morphological variability that is associated with specific ecological conditions . Fortunately, biologists have often used the precautionary principle in arguing for protecting populations with unusual life history or ecological relationships even in the absence of direct comparative data. By combining comprehensive range-wide phylogenetic comparisons to identify the distribution of major species lineages, with an understanding of the main ecological factors shaping the phenotype of a species, biologists are likely to provide the best chance of protecting the evolutionary potential of a species in a changing landscape.
Cutthroat trout populations have diversified into major phylogenetic lineages in western North America. While geographic isolation within major watershed boundaries is a primary organizing factor of genetic diversity in cutthroat trout, past hydrological connections have also influenced the evolutionary history of cutthroat trout. Our study illustrates how genetic diversity can be used to identify where historic watershed connections may have existed and how that information can help explain the current distribution of biological diversity across a landscape.
We received a great deal of help and advice from biologists at Alaska Department of Fish and Game, British Columbia Ministry of Environment, Colorado Division of Wildlife, Idaho Department of Fish and Game, New Mexico Department of Fish and Game, Wyoming Department of Game and Fish, U.S. Forest Service, Utah Division of Wildlife Resources, Trout Unlimited, Montana Fish, Wildlife, and Parks, Nevada Department of Wildlife, Yellowstone National Park, and Alberta Fish and Wildlife. We also wish to thank S. Seiler, M. Seiler, S. Matsaw, K. Denny, R. McManamay, T. Knight, K. Gunnell, S. Jones, A. Prussian, J. Earle, J. Stelfox, J. Alves, W. Colyer, Z. Njoroge, S. Campbell, and Z. Gardner for their invaluable help in the field. Supplementary genetic samples were provided by R. Hillyard, M. Green, J. Blakney, M. Young, B. May, and M. Finger. We thank A. Runck for providing help with lab procedures. M. Thomas, M. Ptacek, D. McPhail, and two anonymous reviewers provided helpful comments on an earlier version of this work. This study was funded in part by an NSF Grants: DEB-0212445 and UMEB-0305289. Additional funding came from Idaho State University through awards to J.L.L. from the Department of Biological Sciences. Collection methods were approved under animal care protocols 04-03-509 and 04-03-2008 by the Animal Welfare Committee at Idaho State University.
- Schluter D: The ecology of adaptive radiation. 2000, Oxford, UK: Oxford University PressGoogle Scholar
- Via S: The ecological genetics of speciation. Am Nat. 2002, 159: S1-S7. 10.1086/338368.PubMedView ArticleGoogle Scholar
- Crandall KA, Bininda-Emonds ORP, Mace GM, Wayne RK: Considering evolutionary processes in conservation biology. Trends Ecol Evol. 2000, 15: 290-295. 10.1016/S0169-5347(00)01876-0.PubMedView ArticleGoogle Scholar
- Moritz C: Strategies to protect biological diversity and the evolutionary processes that sustain it. Syst Biol. 2002, 51: 238-254. 10.1080/10635150252899752.PubMedView ArticleGoogle Scholar
- Sexton J, McIntyre P, Angert A, Rice K: Evolution and ecology of species range limits. Annu Rev Ecol Syst. 2009, 40: 415-436. 10.1146/annurev.ecolsys.110308.120317.View ArticleGoogle Scholar
- Lavergne S, Mouquet N, Thuiller W, Ronce O: Biodiversity and climate change: integrating evolutionary and ecological responses of species and communities. Annu Rev Ecol Syst. 2010, 41: 321-350. 10.1146/annurev-ecolsys-102209-144628.View ArticleGoogle Scholar
- Hubbs CL, Miller RR, Hubbs LC: Hydrographic history and relict fishes of the north-central Great Basin. 1974, San Francisco, CA: California Academy of SciencesGoogle Scholar
- McPhail JD, Lindsey CC: Zoogeography of the freshwater fishes of Cascadia (the Columbia system and rivers north to the Stikine). The zoogeography of North American freshwater fishes. Edited by: Hocutt CH, Wiley EO. 1986, New York, NY: Wiley-Interscience, 615-637.Google Scholar
- Avise JC, Arnold J, Ball RM, Bermingham E, Lamb T, Neigel JE, Reeb CA, Saunders NC: Intraspecific phylogeography: the mitochondrial DNA bridge between population genetics and systematics. Annu Rev Ecol Syst. 1987, 18: 489-522.View ArticleGoogle Scholar
- Pérez-Espona S, Pérez-Barbería FJ, McLeod JE, Jiggins CD, Gordon IJ, Pembeton JM: Landscape features affect gene flow of Scottish Highland red deer (Cervus elaphus). Mol Ecol. 2008, 17: 981-996. 10.1111/j.1365-294X.2007.03629.x.PubMedView ArticleGoogle Scholar
- Loxterman JL: Fine scale population genetic structure of pumas in the Intermountain West. Conserv Genet. 2011, 12: 1049-1059. 10.1007/s10592-011-0208-y.View ArticleGoogle Scholar
- Taylor EB, Stamford MD, Baxter JS: Population subdivision in westslope cutthroat trout (Oncorhynchus clarki lewisi) at the northern periphery of its range: evolutionary inferences and conservation implications. Mol Ecol. 2003, 12: 2609-2622. 10.1046/j.1365-294X.2003.01937.x.PubMedView ArticleGoogle Scholar
- Pfrender M, Hicks J, Lynch M: Biogeographic patterns and current distribution of molecular-genetic variation among populations of speckled dace, Rhinichthys osculus (Girard). Mol Phylogenet Evol. 2004, 30: 490-502. 10.1016/S1055-7903(03)00242-2.PubMedView ArticleGoogle Scholar
- Gomez-Uchida D, Knight TW, Ruzzante DE: Interaction of landscape and life history attributes on genetic diversity, neutral divergence and gene flow in a pristine community of salmonids. Mol Ecol. 2009, 18: 4854-4869. 10.1111/j.1365-294X.2009.04409.x.PubMedView ArticleGoogle Scholar
- Faulks LK, Gilligan DM, Beheregaray LB: Islands of water in a sea of dry land: hydrological regime predicts genetic diversity and dispersal in a widespread fish from Australia's arid zone, the golden perch (Macquaria ambigua). Mol Ecol. 2010, 19: 4723-4737. 10.1111/j.1365-294X.2010.04848.x.PubMedView ArticleGoogle Scholar
- Minckley WL, Hendrickson DA, Bond CE: Geography of western North American freshwater fishes: description and relationships to transcontinental tectonism. The zoogeography of North American freshwater fishes. Edited by: Hocutt CH, Wiley EO. 1986, New York, NY: Wiley-Interscience, 519-613.Google Scholar
- Bernatchez L, Wilson CC: Comparative phylogeography of nearctic and palearctic fishes. Mol Ecol. 1998, 7: 431-452. 10.1046/j.1365-294x.1998.00319.x.View ArticleGoogle Scholar
- Waters JM, Craw D, Youngson JH, Wallis GP: Genes meet geology: fish phylogeographic pattern reflects ancient, rather than modern, drainage connections. Evolution. 2001, 55: 1844-1851.PubMedView ArticleGoogle Scholar
- Behnke RJ: Trout and salmon of North America. 2002, New York, NY: Free PressGoogle Scholar
- Trotter PC: Cutthroat: native trout of the west. 2008, Berkeley, CA: University of California Press, 2Google Scholar
- Jordan DS, Evermann BW, Clark HW: Check list of the fishes and fishlike vertebrates of North and Middle America north of the northern boundary of Venezuela and Colombia. 1930, Washington, DC: U.S. Govt. Print. OffGoogle Scholar
- Pielou EC: After the ice age: the return of life to glaciated North America. 1991, Chicago, IL: University of Chicago PressView ArticleGoogle Scholar
- Young MK: Conservation assessment for inland cutthroat trout. 1995, Fort Collins, CO: U.S: Department of Agriculture, Forest Service, Rocky Mountain Research StationGoogle Scholar
- Behnke RJ: Native trout of western North America. 1992, Bethesda, MD: American Fisheries SocietyGoogle Scholar
- Trotter PC, Behnke RJ: The case for humboldtensis: a subspecies name for the indigenous cutthroat trout (Oncorhynchus clarkii) of the Humboldt River, Upper Quinn River, and Coyote Basin drainages, Nevada and Oregon. West N Am Naturalist. 2008, 68: 58-65. 10.3398/1527-0904(2008)68[58:TCFHAS]2.0.CO;2.View ArticleGoogle Scholar
- Novak M, Mock K, Kershner J: Molecular genetic investigation of Yellowstone cutthroat trout and finespotted Snake River cutthroat trout. 2005, Logan, UT: Utah State UniversityGoogle Scholar
- Campbell MR, Kozfkay CC, Meyer KA, Powell MS, Williams RN: Historical influences of volcanism and glaciation in shaping mitochondrial DNA variation and distribution in Yellowstone cutthroat trout across its native range. Trans Amer Fish Soc. 2011, 140: 91-107.View ArticleGoogle Scholar
- Edgar RC: MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res. 2004, 32: 1792-1797. 10.1093/nar/gkh340.PubMedPubMed CentralView ArticleGoogle Scholar
- Excoffier L, Lischer HEL: Arlequin suite ver 3.5: a new series of programs to perform population genetics analyses under Linux and Windows. Mol Ecol Resour. 2010, 10: 564-567. 10.1111/j.1755-0998.2010.02847.x.PubMedView ArticleGoogle Scholar
- Librado P, Rozas J: DnaSP v5: a software for comprehensive analysis of DNA polymorphism data. Bioinformatics. 2009, 25: 1451-1452. 10.1093/bioinformatics/btp187.PubMedView ArticleGoogle Scholar
- Tamura K, Peterson D, Peterson N, Stecher G, Nei M, Kumar S: MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods. Mol Biol Evol. 2011, 28: 2731-2739. 10.1093/molbev/msr121.PubMedPubMed CentralView ArticleGoogle Scholar
- Posada D: jModelTest: Phylogenetic Model Averaging. Mol Biol Evol. 2008, 25: 1253-1256. 10.1093/molbev/msn083.PubMedView ArticleGoogle Scholar
- Guidon S, Dufayard J-F, Lefort V, Anisimova M, Hordijk W, Gascuel O: New Algorithms and Methods to Estimate Maximum-Likelihood Phylogenies: Assessing the Performance of PhyML 3.0. Syst Biol. 2010, 59: 307-321. 10.1093/sysbio/syq010.View ArticleGoogle Scholar
- Huelsenbeck JP, Ronquist F: MRBAYES: Bayesian inference of phylogenetic trees. Bioinformatics. 2001, 17: 754-755. 10.1093/bioinformatics/17.8.754.PubMedView ArticleGoogle Scholar
- Ronquist F, Huelsenbeck JP: MrBayes 3: Bayesian phylogenetic inference under mixed models. Bioinformatics. 2003, 19: 1572-1574. 10.1093/bioinformatics/btg180.PubMedView ArticleGoogle Scholar
- Nylander JAA: MrModeltest v2. 2004, Uppsala University: Program distributed by the author. Evolutionary Biology CentreGoogle Scholar
- Tajima F: Simple methods for testing the molecular evolutionary clock hypothesis. Genetics. 1993, 135: 599-607.PubMedPubMed CentralGoogle Scholar
- McKay SJ, Devlin RH, Smith MJ: Phylogeny of Pacific salmon and trout based on growth hormone type-2 and mitochondrial NADH dehydrogenase subunit 3 DNA sequences. Can J Fish Aquat Sci. 1996, 53: 1165-1176. 10.1139/f96-042.View ArticleGoogle Scholar
- Smith GR, Dowling TE, Goblat KW, Lugaski T, Shiozawa DK, Evans RP: Biogeography and timing of evolutionary events among Great Basin fishes. Great Basin aquatic systems history. Edited by: Hershler R, Madsen D, Currey DR. 2002, Washington, DC: Smithsonian Institution Press, 175-254.Google Scholar
- Janetski DJ: Genetic considerations for the conservation and management of Yellowstone cutthroat trout (Oncorhynchus clarkii bouvieri) in Yellowstone National Park. 2006, Provo UT: Thesis, Brigham Young UniversityGoogle Scholar
- Metcalf JL, Pritchard VL, Silvestri SM, Jenkins JB, Wood JS, Cowley DE, Evans RP, Shiozawa DK, Martin AP: Across the great divide: genetic forensics reveals misidentification of endangered cutthroat trout populations. Mol Ecol. 2007, 16: 4445-4454. 10.1111/j.1365-294X.2007.03472.x.PubMedView ArticleGoogle Scholar
- Pritchard VL, Metcalf JL, Jones K, Martin AP, Cowley DE: Population structure and genetic management of Rio Grande cutthroat trout (Oncorhynchus clarkii virginalis). Conserv Genet. 2009, 10: 1209-1221. 10.1007/s10592-008-9652-8.View ArticleGoogle Scholar
- Hubbs CL, Miller RR: The zoological evidence: correlation between fish distribution and hydrographic history in the desert basins of western United States. The Great Basin, with an emphasis on postglacial times. 1948, Salt Lake, UT: University of Utah, 38: 17-166.Google Scholar
- Link PK, Kaufman DS, Thackray GD: Field guide to Pleistocene lakes Thatcher, and Bonneville and the Bonneville Flood, southeastern Idaho. Guidebook to the geology of eastern Idaho. Edited by: Hughes SS, Thackray GD. 1999, Pocatello, ID: Idaho Museum of Natural History, 251-266.Google Scholar
- Seiler MB, Keeley ER: Intraspecific taxonomy and ecology characterize morphological divergence among cutthroat trout (Oncorhynchus clarkii ssp Richardson) populations. Biol J Linn Soc. 2009, 96: 266-281. 10.1111/j.1095-8312.2008.01130.x.View ArticleGoogle Scholar
- Oviatt CG, Currey DR, Sack D: Radiocarbon chronology of Lake Bonneville, Eastern Great Basin, USA. Palaeogeogr Palaeocl Palaeoecol. 1992, 99: 225-241. 10.1016/0031-0182(92)90017-Y.View ArticleGoogle Scholar
- Pierce KL, Morgan LA: The track of the Yellowstone hot spot: volcanism, faulting, and uplift. Regional geology of eastern Idaho and Western Wyoming. Edited by: Link PK, Kuntz MA, Platt LB. 1992, Geological Society of America, 1-52.View ArticleGoogle Scholar
- Waters JM, Allibone RM, Wallis GP: Geological subsidence, river capture, and cladogenesis of galaxiid fish lineages in central New Zealand. Biol J Linnean Soc. 2006, 88: 367-376. 10.1111/j.1095-8312.2004.00622.x.View ArticleGoogle Scholar
- Bernatchez L, Dodson JJ: Phylogeographic structure in mitochondrial DNA of the lake whitefish (Coregonus clupeaformis) and its relation to Pleistocene glaciations. Evolution. 1991, 45: 1016-1035. 10.2307/2409706.View ArticleGoogle Scholar
- Wilson CC, Hebert PDN: Phylogeography and postglacial dispersal of lake trout (Salvelinus namaycush) in North America. Can J Fish Aquat Sci. 1998, 55: 1010-1024. 10.1139/f97-286.View ArticleGoogle Scholar
- Bermingham E, Avise JC: Molecular zoogeography of freshwater fishes in the southeastern United States. Genetics. 1986, 113: 939-965.PubMedPubMed CentralGoogle Scholar
- Gresswell RE: Status and management of interior stocks of cutthroat trout. 1988, Bethesda, MD: American Fisheries Society Symposium 4Google Scholar
- Nelson JS, Crossman EJ, Espinosa-Pérez H, Findley L, Gilbert CR, Lea RN, Williams JD: Common and scientific names of fishes from the United States Canada and Mexico. 2004, Bethesda, MD: American Fisheries Society, 6Google Scholar
- Allendorf FW, Leary RE, Hitt NP, Knudsen KL, Boyer MC, Spruell P: Cutthroat trout hybridization and the U.S. Endangered Species Act: one species, two policies. Conserv Biol. 2005, 19: 1326-1328. 10.1111/j.1523-1739.2005.00223.x.View ArticleGoogle Scholar
- Klar GT, Stalnaker CB: Electrophoretic variation in muscle lactate dehydrogenase in Snake Valley cutthroat trout,Salmo clarki subsp. Comp Biochem Physiol, B. 1979, 64: 391-394. 10.1016/0305-0491(79)90288-8.PubMedView ArticleGoogle Scholar
- Loudenslager EJ, Gall GAE: Geographic patterns of protein variation and subspeciation in cutthroat trout, Salmo clarki. Syst Zool. 1980, 29: 27-42. 10.2307/2412624.View ArticleGoogle Scholar
- Martin MA, Shiozawa D, Loudenslager EJ, Jensen JN: Electrophoretic study of cutthroat trout populations in Utah. West N Am Naturalist. 1985, 45: 677-687.Google Scholar
- Leary RF, Allendorf FW, Phelps SR, Knudsen KL: Genetic divergence and identification of seven cutthroat trout subspecies and rainbow trout. Trans Amer Fish Soc. 1987, 116: 580-587. 10.1577/1548-8659(1987)116<580:GDAIOS>2.0.CO;2.View ArticleGoogle Scholar
- Wilson WD, Turner TF: Phylogenetic analysis of the Pacific cutthroat trout (Oncorhynchus clarki ssp.: Salmonidae) based on partial mtDNA ND4 sequences: a closer look at the highly fragmented inland species. Mol Phylogenet Evol. 2009, 52: 406-415. 10.1016/j.ympev.2009.03.018.PubMedView ArticleGoogle Scholar
- Bernatchez L: A role for molecular systematics in defining evolutionarily significant units in fishes. Evolution and the aquatic ecosystem: defining unique units in population conservation. Edited by: Nielsen JL. 1995, Bethesda, MD: American Fisheries Society, 114-132.Google Scholar
- Ford MJ: Conservation units and preserving diversity. Evolution illuminated: salmon and their relatives. Edited by: Hendry AP, Stearns SC. 2004, New York, NY: Oxford University Press, 338-357.Google Scholar
- Taylor EB, Tamkee P, Keeley ER, Parkinson EA: Conservation prioritization in widespread species: the use of genetic and morphological data to assess population distinctiveness in rainbow trout (Oncorhynchus mykiss) from British Columbia, Canada. Evol Appl. 2011, 4: 100-115. 10.1111/j.1752-4571.2010.00136.x.PubMedPubMed CentralView ArticleGoogle Scholar
- Keeley ER, Parkinson EA, Taylor EB: Ecotypic differentiation of native rainbow trout (Oncorhynchus mykiss) populations from British Columbia. Can J Fish Aquat Sci. 2005, 62: 1523-1539. 10.1139/f05-062.View ArticleGoogle Scholar
- McPhail JD: The freshwater fishes of British Columbia. 2007, Edmonton, AB: The University of Alberta PressGoogle Scholar
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