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2014-05-05_REVISION - C1996083
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2014-05-05_REVISION - C1996083
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Last modified
8/24/2016 5:43:46 PM
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5/5/2014 9:28:57 AM
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Template:
DRMS Permit Index
Permit No
C1996083
IBM Index Class Name
Revision
Doc Date
5/5/2014
Doc Name
Adequacy Review Response (2nd Response)
From
Bowie Resources, LLC
To
DRMS
Type & Sequence
MR150
Email Name
SLB
SB1
Media Type
D
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No
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6 J. L. METCALF ET AL. <br />samples based on the 430 -bp mitochondrial DNA data <br />set using TCS (Clement et al. 2000). Finally, we inferred <br />a phylogeny of extant and historical haplotypes based <br />on the same 430 -bp sequence data set. In the phyloge- <br />netic analysis, we included sequence data for all <br />major subspecies of cutthroat trout (O. c. bouvieri, <br />O. c. utah, O. c. henshawi, O. c. lewisi and O. c. clarki) as <br />well as rainbow trout (Oncorhynchus mykiss) to clarify <br />whether museum samples represent a trout stocked <br />from another region in North America. These additional <br />sequence data were originally published in Metcalf et al. <br />(2007) or Loxterman & Keeley (2012) (GenBank No's <br />EF673223- EF73232; EF673250- EF673259; EF673233- <br />EF673249; EF673260- EF673276; JQ747557 JQ747623). We <br />used a nucleotide substitution model of GTR +I (Metcalf <br />et al. 2007). We inferred a phylogeny using maximum - <br />likelihood methods with the software PhyML 3.0 (Guin- <br />don et al. 2010). We used NNI for tree improvement <br />and computed branch support using the approximate <br />likelihood -ratio test for branches described in Anisim- <br />ova et al. (2011). We also constructed phylogenies using <br />BEAST v1.6.1 (Drummond & Rambaut 2007). As our <br />analysis spans the boundary between populations and <br />species, we used two different tree priors (i) a coales- <br />cent model assuming a constant population size and <br />(ii) a Yule speciation process model. Each analysis was <br />run for 100 000 000 MCMC generations, sampling every <br />1000 trees with a burn -in of 10 000 000 generations. <br />Stationarity of the posterior probabilities distribution <br />and the ESS values for the priors was examined in <br />Tracer v1.4 (Rambaut & Drummond 2007) to confirm <br />the burn -in was appropriate. Maximum clade credibility <br />consensus trees were generated from posterior distribu- <br />tions of 90 000 trees using TreeAnnotator v1.6.1 <br />(Drummond & Rambaut 2007). <br />Additionally, we investigated the geographical distri- <br />bution of ND2 molecular variation for both museum <br />samples and a broad survey of modern populations. <br />We performed an analysis of molecular variance among <br />drainages of historical (1857 -1889 A.D.) and modern <br />(2000 A.D. to present) populations separately to under- <br />stand how the distribution of variance has changed <br />over time. For the modern data, we included only the <br />portion of ND2 sequenced for museum samples <br />(378 bp) in the analysis. We generated distance matrices <br />and performed AMovA analyses using tools included in <br />the ape and pegas packages in the R statistical envi- <br />ronment ( Paradis et al. 2004; Paradis 2010). Distance <br />matrices were generated using default parameters, <br />except loci with missing data were not excluded from <br />the analysis. Drainage delineations included South <br />Platte, Arkansas, Rio Grande, San Juan, Gunnison and <br />Colorado River basins. Samples from the Yampa River <br />drainage were not included in the analysis because the <br />museum data set had only one sample from this drain- <br />age. To account for the difference in sample size <br />between the museum and modern data set, we <br />randomly subsampled the modern data set 1000 times <br />using the same number of samples per drainage as the <br />museum data set. Subsampled data were generated <br />using a custom Python v2.7.2 script (www.python.org) <br />in conjunction with the NumPy v1.6.1 (www.numpy. <br />org) numerical Python library. Using R 2.14.2 with <br />pegas v0.4 -1, we performed the AMOVA analysis on each <br />subsampled data set to generate a range of possible <br />modern values to compare with the historical estimate. <br />Results <br />Museum fish DNA <br />Skin, gill, muscle and bone were sampled from 44 <br />cutthroat trout specimens stored in ethanol. Several <br />samples that yielded DNA were extracted multiple <br />times (up to four times) to confirm authenticity of <br />endogenous DNA (Table S1). Sixty -one museum sample <br />extractions were performed (not including mock extrac- <br />tion controls). Extracted DNA was highly degraded. <br />PCR success declined with increasing target fragment <br />size (Fig. S1) and 14 of the 44 individuals (32 %) failed <br />to yield DNA that could be amplified using PCR. None- <br />theless, 30 individuals (Tables 1 and S1) yielded a total <br />of 430 bps of mtDNA (two ND2 gene fragments and <br />one COI gene fragment) that permitted robust inference <br />of the phylogeny and regional biogeography of native <br />cutthroat trout (GenBank No's JX195398- JX195487). <br />Furthermore, sequence data were reproducible —data <br />generated from independent extractions of museum <br />samples were identical. In particular, the consensus <br />sequence from cloned amplicons (at CU) matched <br />amplicons directly sequenced (at ACRD) at >99 % of <br />nucleotides. Most mismatches were probably due to <br />deamination (postmortem chemical damage). In a few <br />cases in which mismatches were not resolved, bases <br />were left ambiguous. <br />Phylogenetic analyses reveal historical diversity of <br />Colorado's cutthroat trout <br />Individual museum samples were assigned to one <br />of the four extant subspecies depending on the <br />clade- defining mutations (new modern haplotypes <br />include Genbank No's JX195488- JX195497) (Table S4). <br />Twenty -one museum samples assigned to modern <br />clades and nine did not (Supporting information). A sta- <br />tistical parsimony haplotype network including museum <br />sequences and contemporary haplotypes revealed six <br />distinct clusters, each of which was separated by at <br />C 2012 Blackwell Publishing Ltd <br />
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