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Ecography ECOG-04840 Massatti, R. and Knowles, L. L. 2019. The historical context of contemporary climatic adaptation: a case study in the climatically dynamic and environmentally complex southwestern United States. – Ecography doi: 10.1111/ecog.04840
Appendix 1 Additional methodological details: Field sampling and data generation Processing was accomplished using STACKS version 2.2 (Catchen et al. 2013) and followed the r80 protocol detailed in Rochette & Catchen (2017). Briefly, DNA was doubly digested with EcoRI and MspI restriction enzymes, followed by the ligation of Illumina adaptor sequences and barcodes. Each individual was barcoded twice using unique combinations of forward and reverse indexes. Ligation products were pooled and amplified using 18 cycles of PCR. A Pippin Prep (Sage Science, Beverly, MA, USA) was used to size select amplicons from 400 to 600 base pairs. Multiple 192-sample libraries, with 2 barcodes for each individual (i.e., 384 unique indexes per library) were sequenced on a HiSeq 4000 (Illumina, San Diego, CA, USA) at the University of Oregon’s Genomics and Cell Characterization Core Facility to generate single-end 100 base pair reads.
The process_radtags script was used to exclude raw reads containing more than four low-quality sites and adapter contamination. Parameters affecting the assembly were assessed based on how parameter combinations affected r80 loci (i.e., those found in 80% of samples or more); the optimal parameter set associated with the plateau of the number of r80 loci was selected (Paris et al. 2017; Rochette & Catchen 2017). Values used in the final assembly were: read to initiate a new putative allele (-m in ustacks) = 3; number of mismatches allowed between the two alleles of a heterozygote sample (-M in ustacks) = 5; mismatches allowed between any two alleles of the population (-n in cstacks) = 5. Results of this processing methodology are reported in Tables S1 and S2. The populations program in STACKS was executed to generate the datasets used in analyses under the settings: minimum percentage of individuals in a population required to process a locus for that population (-r) = 0.5, minimum minor allele frequency required to process a nucleotide site at a locus (--min_maf) = 0.05, maximum observed heterozygosity required to process a nucleotide site at a locus (max_obs_het) = 0.7, and the correction applied to FST values (--fst_correction) = p_value. Population structure and history
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STRUCTURE was run across K-values ranging from 1 to 9 without assigning population membership a priori. Twenty independent runs per K were conducted, each with 150,000 burn-in and 500,000 Markov chain Monte Carlo iterations, using an admixture model with correlated allele frequencies. STRUCTURE HARVESTER and DISTRUCT were used to visualize results, and the most probable K was chosen based on DK (Evanno et al. 2005). For sPCA analysis, geographic locations of individuals were created by jittering the latitude/longitude of their sampling localities (factor=3), and a Delaunay triangulation graph was used to create the required connection network. estimate
Demographic modeling to elucidate the number of refugial H. jamesii populations, the history and timing of population splits, and approximations of population sizes was conducted using the allele frequency spectrum method (Gutenkunst et al. 2009) implemented in FASTSIMCOAL2 (version 2603; Excoffier et al. 2013). This procedure uses coalescent simulations to calculate the likelihoods of observed allele frequency spectra (see Nielsen 2000) under user-specified demographic models. To improve the performance of the models by reducing the number of estimated parameters (Excoffier et al. 2013), one population parameter was calculated directly from the data. Specifically, the effective population size of the Western population (NWest) was fixed, whereas the other parameters (i.e., population divergence time, T, population sizes, Ne, and gene flow, 2Nm) were estimated based on the site frequency spectrum (see Fig. 3). The best-supported model was selected using Akaike information criterion (Akaike 1974). The effective population size of the Western population was calculated using the equation: Ne = (π/4µ), assuming a genome-wide single nucleotide polymorphism (SNP) mutation rate similar to Arabidopsis thaliana (7 × 10−9 per site per generation; Ossowski et al. 2010). Nucleotide diversity (π) was estimated from polymorphic and nonpolymorphic loci using STACKS (π =0.0063). One hundred runs per model were conducted and the global maximum likelihood solution is presented. Each run was performed with 200,000 simulations per likelihood estimation and 50 expectation-conditional maximization (ECM) cycles. Parameter confidence intervals were calculated from 100 parametric bootstrap replicates, by simulating site frequency spectra with the same number of SNPs from the maximum composite likelihood estimates and re-estimating parameters each time (Excoffier et al. 2013). Identifying putative adaptive loci Multiple LFMMs were generated using K-values (i.e., the number of latent factors) ranging from 3 to 5, which represent the most likely K genetic clusters suggested by STRUCTURE and sPCA, as well as closely related values (see Frichot & François 2015). The latent factors were implemented in LFMMs using a sparse non-negative matrix factorization algorithm, which produces results similar to those produced by STRUCTURE (Frichot et al. 2014) and were performed using snmf in LEA version 1.2.0 in R (Frichot & François 2015). Missing data were replaced by the most likely genotype using impute in LEA . For each K-value, LFMMs were generated for each of the three dominant environmental PC axes identified for the Colorado Plateau region. Models were run ten times with 30,000 iterations and a burn-in of 15,000. To assess model fit and genomic inflation (i.e., inflation of z-scores at each locus due to not sufficiently accounting for population structure or other confounding factors within the model), the median squared z-score calculated from ranked loci was divided by the median of the chi-squared distribution (Frichot & François 2015; François et al. 2016). Per locus z-scores were used to correct for inflation (Table S6), and putative adaptive loci were identified by considering
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the combination of the intersection of loci across K-values for each environmental PC axis (Table S6). References Akaike, H. (1974). A new look at the statistical model identification. In Selected Papers of
Hirotugu Akaike (pp. 215-222). Springer, New York, NY. Catchen, J., Hohenlohe, P. A., Bassham, S., Amores, A., & Cresko, W. A. (2013). Stacks: an
analysis tool set for population genomics. Molecular ecology, 22(11), 3124-3140. Evanno, G., Regnaut, S., & Goudet, J. (2005). Detecting the number of clusters of individuals
using the software STRUCTURE: a simulation study. Molecular ecology, 14(8), 2611-2620. Excoffier, L., Dupanloup, I., Huerta-Sánchez, E., Sousa, V. C., & Foll, M. (2013). Robust
demographic inference from genomic and SNP data. PLoS genetics, 9(10), e1003905. François, O., Martins, H., Caye, K., & Schoville, S. D. (2016). Controlling false discoveries in
genome scans for selection. Molecular Ecology, 25(2), 454-469. Frichot, E., Mathieu, F., Trouillon, T., Bouchard, G., & François, O. (2014). Fast and efficient
estimation of individual ancestry coefficients. Genetics, 196(4), 973-983. Frichot, E., & François, O. (2015). LEA: an R package for landscape and ecological association
studies. Methods in Ecology and Evolution, 6(8), 925-929. Gutenkunst, R. N., Hernandez, R. D., Williamson, S. H., & Bustamante, C. D. (2009). Inferring
the joint demographic history of multiple populations from multidimensional SNP frequency data. PLoS genetics, 5(10), e1000695.
Nielsen, R. (2000). Estimation of population parameters and recombination rates from single nucleotide polymorphisms. Genetics, 154(2), 931-942.
Ossowski, S., Schneeberger, K., Lucas-Lledó, J. I., Warthmann, N., Clark, R. M., Shaw, R. G., ... & Lynch, M. (2010). The rate and molecular spectrum of spontaneous mutations in Arabidopsis thaliana. Science, 327(5961), 92-94.
Paris, J. R., Stevens, J. R., & Catchen, J. M. (2017). Lost in parameter space: a road map for stacks. Methods in Ecology and Evolution, 8(10), 1360-1373.
Rochette, N. C., & Catchen, J. M. (2017). Deriving genotypes from RAD-seq short-read data using Stacks. Nature Protocols, 12(12), 2640.
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Figure A1. Individuals colored by genetic similarity when utilizing the first three global sPCA structures (sPC1, sPC2, and sPC3). Individuals are graphed in geographic space according to their sampling localities, and they are jittered so that they do not completely overlap. More similar colors represent more similar genetic identities. The inset shows the sPCA eigenvalues, and the magnitudes of the first three axes (colored red) support interpreting the first three global (positive) structures.
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Figure A2. Distribution of putative adaptive SNPs between standard deviations (z-scores) of 2 and 3. The inset shows how SNPs align with predictor axes (‘# RDA loci’), as well as how loci are shared with LFMMs (‘Loci shared w/ LFMMs’).
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Predictor # RDA loci (% total)Loci shared w/
LFMMs (% total)PC1 (elevation) 40 (6.1) 13 (9.9)PC2 (latitude) 338 (51.8) 71 (54.2)PC3 (MDR) 273 (41.9) 47 (35.9)Total 652 131
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Table A1. Details of sampling localities, climatic data, and processing. Columns indicate: total number of individuals sampled per locality (# Ind); sampling locality coordinates (Longitude/Latitude); elevation; extracted data for sampling sites from climatic PC axes
(PC1-3); average # reads per individual per sampling locality after data processing (Processed reads); average # reads per individual per sampling locality used to construct loci (Utilized reads). Sampling localities used in FASTSIMCOAL2 modeling are indicated using
bold text in the sampling locality column.
Sampling locality # Ind Longitude Latitude Elevation (m) PC1 PC2 PC3 Processed reads (± SD) Utilized reads (± SD)
North Rim 11 -112.710 36.767 1414 0.911 -1.707 1.072 1,245,496 (101,270) 1,052,456 (102,177)
Kaiparowits Plateau 12 -111.725 37.741 1996 -0.350 -1.228 -0.021 990,920 (55,765)
855,800 (49,511)
Lees Ferry 11 -111.621 36.852 1042 3.116 -3.754 -0.277 1,191,665 (142,060) 1,011,624 (125,478)
Red Mtn 11 -111.567 35.496 1915 -0.194 0.435 1.054 1,741,374 (558,394) 1,464,503 (476,134)
Alvey Wash 12 -111.498 37.692 1695 0.695 -2.322 -0.203 1,310,176 (179,545) 1,128,081 (156,875)
Poison Spring 10 -110.953 39.465 2053 -2.079 -2.562 0.265 2,042,384 (273,708) 1,747,805 (244,424)
Factory Butte 15 -110.878 38.417 1447 0.872 -3.506 -2.832 1,433,932 (118,685) 1,226,685 (112,636)
San Rafael Swell 11 -110.708 38.837 2051 -1.226 -2.328 -0.977 982,208 (84,813) 824,946 (77,268)
Blue Mesa 13 -109.787 35.090 1708 1.664 -0.366 -0.668 992,029 (82,857) 838,384 (73,855)
Sevenmile Canyon 11 -109.749 38.641 1514 -0.241 -3.411 -1.140 1,850,053 (295,026) 1,601,862 (258,100)
Needles 22 -109.726 38.182 1536 0.338 -3.198 -0.400 1,187,683 (116,470) 1,025,364 (105,854)
Vernal 11 -109.639 40.329 1524 -1.416 -4.535 -3.670 1,488,731 (138,928) 1,293,550 (130,305)
Combs Ridge 12 -109.606 37.293 1494 0.885 -3.034 -0.392 1,642,252 (210,874) 1,413,178 (185,278)
Book Cliffs 12 -109.482 39.725 1935 -2.139 -3.438 -1.451 2,013,492 (200,195) 1,729,377 (183,651)
Devil's Playground 10 -109.241 40.100 1569 -1.548 -4.301 -3.429 1,300,533 (107,935) 1,127,041 (100,973)
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Westwater 13 -109.142 39.121 1383 -0.445 -3.724 -1.615 1,036,647 (97,690) 867,980 (95,293)
Fruita Canyon 10 -108.696 39.060 1870 -1.622 -2.835 -0.034 1,825,923 (225,069) 1,559,224 (203,415)
Gypsum Gap 12 -108.663 38.041 1933 -1.464 -1.598 -0.201 1,276,019 (498,330) 1,084,938 (429,596)
Kutz Canyon 12 -107.990 36.658 1683 0.722 -2.312 -0.637 1,845,934 (234,880) 1,603,655 (215,686)
Coal Creek 24 -107.988 36.206 1921 0.382 -1.332 -0.819 1,203,728 (159,426)
1,038,926 (148,868)
Jesus Mesa 11 -107.671 35.380 2246 -0.460 1.119 -0.494 2,068,927 (175,901) 1,766,803 (144,279)
Manzanares 12 -107.640 36.716 1971 -0.781 -1.274 -0.100 1,057,901 (108,100) 883,206 (93,709)
Bear Mtns 11 -107.210 34.206 1880 1.508 2.347 -1.356 970,546 (68,974) 819,289 (62,349)
Box Canyon 12 -107.029 34.017 1822 1.577 2.466 -1.115 1,027,207 (59,734) 858,331 (59,724)
Hidden Mtn 10 -107.002 34.794 1546 1.885 0.168 -1.668 935,603 (51,808) 798,181 (43,525)
Rio Grande 25 -106.887 34.354 1482 2.170 0.880 -2.081 1,221,601 (116,738) 1,061,136 (110,235)
Black Mesa 12 -105.912 35.959 2004 -0.324 1.289 -1.250 1,408,209 (229,108) 1,219,357 (226,874)
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Table A2. Details of herbarium samples included in analyses. Columns indicate: herbarium from which specimens were loaned (RM = Rocky Mountain Herbarium, UTC = Intermountain Herbarium); the catalog number of the specimen within the herbarium (unacc =
currently unaccessioned within the collection); specimen details, including collector(s), collection number, date, state, and location information; the “population” to which each specimen was assigned for some analyses; the number of processed reads (Processed);
and the number of utilized reads (Utilized).
Herbarium Catalog # Collector(s) Collection
# Date State Longitude Latitude Population Processed Utilized
RM 929825 Lukas 9076 6/17/09 WY -106.896 41.679 WY Basin 1,267,381 1,059,990
RM 791212 Ward 758 6/17/96 WY -107.831 41.070 WY Basin 1,181,269 1,033,826
RM 799451 Ward 5500 6/17/97 WY -108.287 41.041 WY Basin 996,070 831,621
RM 791211 Ward 1799 6/28/96 WY -108.401 41.156 WY Basin 1,266,406 1,093,160
RM 799450 Ward 6214 6/24/97 WY -109.570 41.687 WY Basin 1,388,619 1,203,256
RM 633171 Fertig 18341 7/2/98 WY -110.050 41.672 WY Basin 1,056,775 875,823
RM 688829 Nelson & Refsdal
36187 7/3/95 WY -110.201 41.671 WY Basin 1,499,703 1,342,538
RM 688830 Refsdal 5287 7/13/95 WY -109.895 41.107 WY Basin 864,847 726,545
RM 688828 Nelson, Refsdal,
& Welp 35473 6/20/95 WY -109.550 41.281 WY Basin 1,317,543 1,133,349
RM 645101 Fertig 18236 6/16/98 WY -109.493 41.007 WY Basin 991,289 865,471
RM unacc Welp 6874 7/25/95 WY -107.176 41.892 WY Basin 972,972 801,378
RM unacc Nelson & Roderick
40405 6/18/97 WY -107.071 41.879 WY Basin 1,100,909 937,811
RM unacc Chumley 4667 7/15/96 CO -104.598 38.513 Plains 1,191,887 1,065,336
RM unacc Elliot 6139 5/27/99 CO -104.561 38.311 Plains 1,142,148 985,015
RM unacc Nelson & Kuhn 72484 6/23/07 CO -103.457 37.889 Plains 1,030,392 873,375
RM unacc Kuhn 4683 6/4/08 CO -103.876 37.895 Plains 1,405,592 1,206,793
RM unacc Kuhn & Rankin 3466 8/12/07 CO -103.989 37.690 Plains 1,326,933 1,109,570
RM unacc Elliot 11779 9/20/03 CO -103.513 37.765 Plains 1,010,921 826,411
RM unacc Kuhn &
Hemenway 5507 6/23/08 CO -103.652 37.580 Plains 1,306,040 1,132,200
RM 904007 Legler 11058 9/13/08 NM -104.866 36.784 Eastern Sangres 1,489,777 1,300,226
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RM 904010 Legler 7401A 8/9/07 NM -104.625 36.725 Eastern Sangres 1,516,117 1,360,183
RM 904014 Legler 5430 7/2/07 NM -104.858 36.513 Eastern Sangres 1,735,241 1,512,337
RM 904013 Legler 6075 7/16/07 NM -104.697 36.554 Eastern Sangres 1,545,846 1,331,481
RM 904012 Legler & Snow 3937 6/7/07 NM -104.578 36.487 Eastern Sangres 1,509,432 1,305,446
UTC UTC00212309 Hardy 845 5/18/93 UT -113.397 41.241 Salt Lake 1,226,130 1,045,090
UTC UTC00196123 Gilbert s.n. 5/24/86 UT -113.640 40.900 Salt Lake 1,523,410 1,334,816
UTC UTC00244955 Shultz, Toler,
Ward, & Marler 17601 6/10/98 UT -113.316 40.427 Salt Lake 833,914 722,955
UTC UTC00232651 Long 894 6/1/00 UT -112.464 40.495 Salt Lake 1,827,709 1,607,615
UTC UTC00209030 Clark 5366 5/25/91 UT -112.942 40.116 Salt Lake 1,114,819 907,270
UTC UTC00203343 Barksworth 4557 6/15/85 UT -113.047 39.653 Salt Lake 1,386,108 1,184,674
UTC UTC00216399 Curto & Smith 1310 6/13/95 NV -115.091 38.437 Western Great Basin 1,199,723 1,017,342
UTC UTC00226441 Pinzl & Work 12199 5/11/97 NV -114.323 37.860 Western Great Basin 1,072,470 945,008
UTC UTC00275644 Gust 1863 5/16/09 NV -114.993 37.722 Western Great Basin 1,190,589 1,016,966
UTC UTC00278019 Tiehm 16973 6/9/15 NV -118.297 39.599 Western Great Basin 1,530,955 1,328,262
UTC UTC00275314 Tiehm 16682 5/18/14 NV -119.052 38.700 Western Great Basin 1,718,475 1,510,195
UTC UTC00226603 Pinzl 11793 5/8/96 NV -117.870 37.821 Western Great Basin 1,242,184 1,097,859
UTC UTC00220400 Pinzl 11348 5/11/95 NV -117.711 37.724 Western Great Basin 1,314,426 1,125,008
UTC UTC00226912 Henderson &
Cholewa 7303 5/26/87 CA -117.279 36.402 Western Great Basin 1,624,090 1,465,391
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Table A3. Correlation between the PC axes used in RDA and the bioclimatic variables (Fick & Hijmans, 2017), longitude, latitude, and elevation. Correlations greater than 0.7 (i.e., |r| > 0.7) are shown in bold.
Climatic variables PC1 PC2 PC3
Annual mean temperature (Bio1) 0.96 0.25 -0.03 Mean diurnal range (Bio2) 0.46 0.44 -0.83 Isothermality (Bio3) 0.37 0.91 -0.49 Temp. seasonality (Bio4) -0.06 -0.98 0.07 Maximum temp. warmest month (Bio5) 0.86 -0.34 0.05 Minimum temp. coldest month (Bio6) 0.72 0.55 0.28 Temp. annual range (Bio7) 0.02 -0.87 -0.27 Mean temp. wettest quarter (Bio8) 0.14 0.25 -0.31 Mean temp. driest quarter (Bio9) -0.06 0.47 0.06 Mean temp. warmest quarter (Bio10) 0.91 -0.19 0.10 Mean temp. coldest quarter (Bio11) 0.79 0.64 0.04 Annual precip. (Bio12) -0.67 0.49 0.21
Precip. wettest month (Bio13) -0.18 0.91 -0.36 Precip. driest month (Bio14) -0.87 -0.12 0.26 Precip. seasonality (Bio15) 0.36 0.85 -0.65 Precip. wettest quarter (Bio16) -0.25 0.88 -0.33 Precip. driest quarter (Bio17) -0.83 -0.18 0.52 Precip. warmest quarter (Bio18) -0.26 0.87 -0.33 Precip. coldest quarter (Bio19) -0.54 0.10 0.68
Monsoonal precip. 0.27 0.85 -0.57 Longitude 0.03 0.42 -0.62
Latitude -0.45 -0.91 0.32 Elevation -0.81 0.40 0.03
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Table A4. Genetic summary statistics for the H. jamesii populations. Transitional sampling localities between the Southeastern and Northern populations are grouped separately (all
represent a mixture of genetic clusters, with the minor cluster composing >25% of the total
identity – see Fig. 1). Results are presented for variant nucleotide positions only and include:
observed heterozygosity (HOBS), expected heterozygosity (HEXP), nucleotide diversity (π), and average Wright’s inbreeding coefficient (FIS).
Population HOBS (± SD) HEXP (± SD) π (± SD) FIS (± SD) Eastern 0.103 (± 0.006) 0.157 (± 0.011) 0.168 (± 0.010 0.171 (± 0.034)
Transitional 0.106 (± 0.003) 0.164 (± 0.009) 0.174 (± 0.010) 0.188 (± 0.021)
Northern 0.107 (± 0.008) 0.158 (± 0.009) 0.168 (± 0.008) 0.160 (± 0.036)
Western 0.103 (± 0.015) 0.153 (± 0.007) 0.165 (± 0.005) 0.155 (± 0.028)
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Table A5. Pairwise corrected AMOVA FST calculated between the sampling localities. All values are significant at p < 0.05. See Table S2 to determine which herbarium specimens were grouped to form sampling localities outside of the Colorado Plateau. Green cells indicate FST less than 0.030, yellow cells indicate FST between 0.030 and 0.049, and red cells indicate FST greater than 0.05.
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Bear Mtns 0.024 0.026 0.068 0.016 0.033 0.043 0.056 0.043 0.061 0.051 0.025 0.059 0.021 0.026 0.059 0.059 0.045 0.048 0.022 0.054 0.060 0.026 0.053 0.061 0.026 0.033 0.028 0.016 0.039 0.025 0.035 Kutz Can. 0.018 0.059 0.024 0.022 0.032 0.046 0.038 0.056 0.046 0.017 0.050 0.016 0.014 0.054 0.054 0.031 0.042 0.012 0.049 0.053 0.017 0.048 0.056 0.017 0.027 0.023 0.021 0.034 0.020 0.031 Combs R. 0.050 0.025 0.028 0.026 0.038 0.029 0.040 0.028 0.012 0.041 0.020 0.020 0.035 0.035 0.035 0.035 0.018 0.034 0.036 0.021 0.029 0.039 0.020 0.020 0.016 0.024 0.026 0.015 0.023
Book Cliffs 0.056 0.067 0.062 0.064 0.046 0.075 0.065 0.050 0.064 0.060 0.060 0.072 0.072 0.081 0.066 0.058 0.069 0.077 0.061 0.067 0.079 0.061 0.039 0.038 0.055 0.044 0.037 0.037 Box Can. 0.037 0.037 0.047 0.040 0.050 0.045 0.025 0.051 0.017 0.024 0.052 0.051 0.040 0.048 0.023 0.047 0.053 0.022 0.045 0.048 0.020 0.029 0.026 0.022 0.035 0.025 0.031
Coal Creek 0.042 0.056 0.050 0.063 0.057 0.026 0.057 0.024 0.021 0.064 0.065 0.039 0.052 0.019 0.059 0.064 0.024 0.059 0.065 0.024 0.038 0.034 0.031 0.044 0.032 0.041 Fruita Can. 0.053 0.041 0.058 0.045 0.024 0.056 0.034 0.033 0.054 0.054 0.051 0.047 0.031 0.051 0.054 0.035 0.048 0.059 0.035 0.033 0.029 0.035 0.038 0.023 0.034
Devils Play. 0.037 0.064 0.052 0.039 0.051 0.048 0.048 0.059 0.058 0.068 0.055 0.046 0.057 0.063 0.049 0.054 0.064 0.047 0.030 0.029 0.046 0.031 0.025 0.028 Factory 0.049 0.041 0.031 0.035 0.036 0.038 0.047 0.045 0.054 0.047 0.037 0.044 0.051 0.037 0.042 0.050 0.038 0.018 0.020 0.041 0.022 0.019 0.019 W. GB 0.035 0.044 0.065 0.056 0.057 0.037 0.035 0.078 0.061 0.054 0.030 0.046 0.060 0.034 0.015 0.057 0.041 0.038 0.052 0.046 0.037 0.042
Alvey 0.034 0.054 0.045 0.046 0.019 0.017 0.065 0.051 0.045 0.026 0.023 0.045 0.015 0.037 0.044 0.034 0.030 0.046 0.040 0.029 0.037 Gypsum 0.042 0.018 0.018 0.042 0.041 0.034 0.036 0.016 0.040 0.041 0.019 0.035 0.046 0.019 0.023 0.018 0.023 0.027 0.015 0.025
Poison 0.051 0.051 0.062 0.061 0.074 0.058 0.048 0.059 0.067 0.054 0.057 0.068 0.052 0.028 0.029 0.048 0.032 0.029 0.029 Hidden Mtn 0.017 0.054 0.054 0.035 0.044 0.014 0.049 0.054 0.017 0.047 0.057 0.018 0.027 0.023 0.016 0.033 0.021 0.030 Jesus Mesa 0.055 0.056 0.031 0.043 0.013 0.051 0.054 0.017 0.049 0.058 0.018 0.028 0.024 0.022 0.034 0.021 0.031
Kaiparowits 0.020 0.074 0.058 0.053 0.026 0.029 0.055 0.020 0.039 0.053 0.039 0.037 0.053 0.046 0.036 0.042 Lees Ferry 0.074 0.056 0.054 0.026 0.027 0.055 0.016 0.037 0.054 0.039 0.035 0.053 0.045 0.035 0.042
Manzanares 0.060 0.030 0.069 0.075 0.036 0.068 0.079 0.037 0.043 0.041 0.038 0.051 0.036 0.047 Needles 0.041 0.053 0.059 0.043 0.052 0.062 0.044 0.036 0.034 0.046 0.041 0.033 0.039
Black Mesa 0.048 0.053 0.015 0.047 0.055 0.015 0.026 0.022 0.019 0.033 0.020 0.029 North Rim 0.036 0.049 0.027 0.032 0.050 0.035 0.034 0.048 0.042 0.033 0.039 Blue Mesa 0.055 0.021 0.046 0.053 0.044 0.040 0.053 0.051 0.038 0.046
E. Plains 0.049 0.063 0.017 0.028 0.025 0.021 0.034 0.021 0.031 Red Mtn 0.037 0.048 0.033 0.030 0.047 0.040 0.030 0.036
Salt Lake 0.063 0.042 0.038 0.052 0.047 0.038 0.043 E. Sangres 0.029 0.023 0.021 0.034 0.022 0.030 San Rafael 0.014 0.030 0.017 0.012 0.013 Sevenmile 0.027 0.016 0.011 0.014
Rio Grande 0.036 0.026 0.033 Vernal 0.015 0.014
Westwater 0.012
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Table A6. Latent factor mixed model results. For each environmental PC axis, the genomic inflation factor (GIF), number of candidate loci (# loci), and the percentage of the total loci included in the analysis (9534) is reported. Intersection refers to the number of loci in common for a PC axis across K values 3, 4, and 5.
LFMM K PC axis LFMM GIF # loci % of total loci 3 1 1.3 231 2.4 4 1 1.15 194 2.0 5 1 1.1 213 2.2
Intersection: 139 1.5 3 2 1.8 216 2.3 4 2 1.6 200 2.1 5 2 1.5 233 2.4
Intersection: 164 1.7 3 3 1.8 212 2.2 4 3 1.55 213 2.2 5 3 1.45 268 2.8
Intersection: 150 1.6 Total intersected loci (PC1+PC2+PC3): 453 4.8 Duplicate loci: 42 0.04 Total unique candidate loci: 411 4.3
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History & adaptation on the CO Plateau – Massatti & Knowles 2020
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Table A7. RADseq loci that matched significantly to NCGI’s nr database (i.e., to a known graminoid sequence and with an E-value ≤1x10-3). Shown are results of the subsequent blast to the UNIPROT database.
Locus # Sequence UNIPROT name UNIPROT identifier E-value %
identity Proposed function GO identifier
39572 AATTCTCCCATGGTGTATTTGAGAGCTGGCTCCATCCGTCCCAGTACCGCACTAGGCTCTGCAAGGAGG
GAGCAGCTTGCGCCCGCCGCATCTGCTTCTTT
Zinc finger CCCH domain-containing protein 50
Q84SL2 6.70E-17 100 DNA/metal ion
binding NA
10241 AATTCCTTCTTGAGATCCTTGAGGATCTTGTTGTAGCTGAACTCTTTCTTCAGTCCCTGGACAGTAGTCA
GACTCTTCCTGCCGTTGCGTTGCTGGATGCG
Protein translation factor SUI1 homolog 2
NA 3.00E-15 100 translation
initiation factor
activity
NA
34879 AATTCTCTTGCCGTCGGGCCGAACACGCGGGTATCCTTTGTGGCACACGGCTGATAGCCGAACAGCAT
CTCGCCCTTCTTCACCTGGAACACAGCGTCGTG
Allene oxide synthase D3K2N2 7.90E-15 93.9 oxidoreductase
activity NA
25038 AATTCTGTATCGTCTCCGCACGCGGCCTAGGCCGCAGATCATCACTGCTCAAACAGCAGTGGTTCTCA
GTCGCATGGATTGATCCAAACAGCAAATACTGC
uncharacterized protein A0A3L6FGA1 9.10E-15 87.9 NA NA
21473 AATTCTTAAGAACATCCCATGCCTTATCCAGAAGCCATTCTGAGTCTGCATTAGGTAGCTTGCGGACA
CCAGCTGTAGCATATAGAAAAACTGGAGTGTGT
Putative apyrase 7 A0A3L6RB81 1.30E-14 93.9 hydrolase
activity NA
9358 AATTCGGAGATCTTGGCTATGTGGCACCAGAGTATGCACGCACTCTGATGGCCACGCCGAAGGGTGAT
GTCTACAGCTTTGGTGTGGTTCTGCTTGAGATC
Putative inactive leucine-rich repeat receptor-like
protein kinase
A0A1E5V3C4 1.30E-14 97 ATP binding NA
22564
AATTCTATCTGCATGGGGAAACTTGCAGTATGCG
CATAGCATTGCACGGATGTGCACAATGTCAACCTTTCCAGAATGCTTGCAAGCAAGCTCATAAGCTG
uncharacterized protein A0A0A9JBL9 1.80E-14 90.9 NA NA
38340
AATTCGGCACAAGACCCTTGTACAGAGCACCAAC
ACCCTCATGACGAACAGTTTTCCTGAATGCATCGATCATACCATTGTACTGGAGCGCATCTTTGCCT
Mitochondrial adenine
nucleotide transporter ADNT1
A0A3L6E8A9 2.00E-14 97 transport NA
3428
AATTCCCAGAGCAGGAGGAGATGGGCTTGTGCTC
GTGCTGCTGCCGCTGCCTGGAGCTCCTGTGCTCCGTCCTCCTCCCGCCCCTAGGCGTCTGCCTCCGC
Low temperature and salt responsive protein-like
A0A3L6S273 2.80E-14 100 NA NA
38100
AATTCAAACCAGATCTCATAATGGTTAAACAGGA
AACTATCATGAGTGTGCTTCCCTACATACTCAAGCCACAATTTCGCAAGCCGCCGTGCGCACTCATC
uncharacterized protein A0A0A9CYF5 2.80E-14 90.9 NA NA
29981 AATTCCTGCGTAAGGAATCCCTGGCTCGCCAGCAGCAATATCAGCAGGCCAGCATGAGCCATTATGCAAATAATGCCGTGCCTGGGGACCAGCATGGTTAT
uncharacterized protein A0A0A9V7X2 4.10E-14 93.9 NA NA
21649 AATTCCCAACAACTCTGTATTACATGTTCAACACGATGCTTCTCACACTATTCGTGTTCCATGTGTACTG
GGGGAAACTCATATTTTTGATGATAAAGAAA uncharacterized protein A0A453IFS2 4.50E-14 90.9 NA NA
50123 AATTCAAGATGTCCAGATGAAGTTGTTAGGAGAATTCGTGTGAGTGTTTCATCTTACGATCCAGTTTGG
CAAGGAAAGCTACTGGACACTTATGACACTCA uncharacterized protein J3MFW0 7.40E-14 90.9 NA NA
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33684 AATTCATACAGTCAGAAGATATCCTTTACAAGATGTTGTTGCTCTTGACAGCTCAAATATCATTGGAAT
TGAAGGTTGCAGTACCAGTGACATAAGGTCTG
uncharacterized protein A0A0A9DWL0 1.20E-13 97 NA NA
16768 AATTCCTTTCTCTGCCATGACGCCCACCTGTACAAATTCCATAAAAATCTTGCGTTTCTCACTTCTACTG
TGCCAGGTCCAAACCCAATTAAAATGTCAAG
uncharacterized protein A0A3B6HMF0 1.60E-13 84.8 NA NA
31062
AATTCTTGGTCAGGCTGTTTGCTGGAGTCAAGCTT
CTTCACCGCAGACTTGTTGCCGTCTTTCAGCACACCAAAGTAGACTCTGGCGTACGACCCTTCTCC
PTI1-like tyrosine-protein
kinase 3 A0A1D6MSA8 1.80E-13 97
protein
serine/threonine-protein kinase
NA
31748
AATTCCCCAAGAGCACCGTTGGACCTGGTGTGTG
GGGAGCGCTGCTTGGTGCTTGCATGGTCCATAAGGATAGCGACCATGCGAAACTGGCATCCCAGAAG
Pentatricopeptide repeat-
containing protein A0A1E5V3I1 2.20E-13 93.9 zinc ion binding NA
36632
AATTCCTACACGAACATTACTTCCATACTCAACTG
GTTTAAAATTTGCAGCTTTGAGTTCCTTTATAACACAGTCACCAATATGGAGGAAAGGAACCGAGC
Asp/Glu racemase CB6TUV7 3.40E-13 87.9
cellular amino
acid metabolic process
NA
4790 AATTCGTGTGAGTGTTTCATCTTACGATCCAGTTTGGCAAGGAAAGCTACTGGACACTTATGACACTCA
GAGTGATGTGTTCCGAATTGCACCTGCTTGCT uncharacterized protein A0A0A9CAP4 5.20E-13 87.9
protein-N-
terminal asparagine
amidohydrolase
activity
GO:0008418
34446
AATTCCCGTAGAGAATATTTCACCATCTCATTGTC
GAAATCAGCGCCACCAAGGTGAGTGTCACCAGCGACGGCCTTCACCTCGAAGACACCCATGTCAAT
uncharacterized protein A0A0E0R547 5.60E-13 90.9 ATP binding NA
20650
AATTCTTGCAGATTGTGCCTGCTTTTCTAGGCGGT
AAATGCAGCTGCTCACAATGCGAGAAGCCTCATGATAGCTCAGCAATACAGGCAGGTGAAGGGAGC
uncharacterized protein A0A0E0D8U7 8.00E-13 87.9
integral
membrane protein
GO:0016021
36264
AATTCAGGGGAGGTGTCTGGGACGACGGCGACGC
TGGTGGTCATCGACGGATTCACGGTCACCGTCGCCTCGGTGGGAGACTCCCGCTGCATCCTGGACAC
uncharacterized protein A0A453AL85 8.90E-13 93.9 catalytic
activity GO:0003824
26965
AATTCACTTGAGGAACGGCTTCTTGAAAGCATGG
CATGGGAGAAAGGCTCATCAATATATAATTCCTTGATTGTTGCTAGGCCAGCACTGTCTTCAGAAAT
Retinoblastoma-related protein 3
A0A1E5WFS4 1.40E-12 97 regulation of
cell cycle NA
46655
AATTCAAAATAACAAACCTCAGGTATGGAGCTAA
GTAGACGGCCGCGTAGACCAGATACCGCCGCTTCCCGCTATCGAGCCACGCAAAGATCCAGCTCTAT
uncharacterized protein A0A1D6JBS6 1.60E-12 90.9 NA NA
31807 AATTCTGATCTCTTCTATGCTGCACTTGGTGGTCTCGGTCAGTTCGGGATCATCACCAGAGCAAAGATT
GCCCTTGAACCTGCTCCAAAGACGGTAAGAAA Cytokinin dehydrogenase 4 Q5JLP4 2.00E-12 93.9
cytokinin metabolic process
NA
27402 AATTCTCCGCTGGCGCATCGGGTAGCTTGAACTCAGGGAAGTCATTGGATGGATTCGGTTGCTCGGAAGCTGCGACGGGCGACGATGGCAGGGCATTATCG
uncharacterized protein A0A0D9W1J4 2.80E-12 87.9 positive
regulation of GTPase activity
GO:0043547
25969 AATTCGGTTCAACAATCCATGCAATCACTACTCCAGCAACCTACACAGTCTGTTTTGAGGCAACAGCAACATCCACAGCCCATGCATCAGCAGCATTCTCT
Uncharacterized protein J9QIL5 3.70E-12 90.9 NA NA
31229 AATTCTGAAGGAAAGGCACTTGGTTTTACATTTTCCTTTCCCGTTAGACAAGCTTCTATATCCTCAGGGT
CATTAATTAGGTGGACTAAAGAATTTTCAAT Phosphotransferase A0A2S3HCZ7 3.70E-12 96.8
cellular glucose homeostasis
NA
4666 AATTCACAGTACAAGTCATCTTATCCAGCCAGCAGGGCAAGTGCAGATGACATTGAGCTGTATCCCCC
S-acyltransferase A0A0D9W8N7 5.10E-12 90.9 Acyltransferase NA
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History & adaptation on the CO Plateau – Massatti & Knowles 2020
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GACACCGAGCAGCTTCCAGAGCAACTCGCGGAC
19396 AATTCTTGGAGCAGCCTCCTTGTGATTCTAGGACCCTGCTCATAAGCATATTTATCCCAGATTTGGGTTC
AGATGGCATCTCCTTTGAAACTTTCCGGGAT uncharacterized protein K4A4W1 5.10E-12 87.5
electron transport chain
GO:0022900
28662 AATTCAAGGAGTTCGTTGTATGTCTGTTGTAGCTTGCCACTGTTGGTATTCATCTCCAGCAACTCATGTT
CATGCTCACCTAATTTTGCCTGGAGATCCAA
V-type proton ATPase
subunit a A0A446Q4H2 6.50E-12 87.5
proton transmembrane
transporter activity
GO:0015078
4693
AATTCAGAGGAACCTTAACCTTTTTTCCATCCTGC
TGGTTCCCCATGATGCTTGCATCAACTTCCACAGACCCGTTATTAATTTGAAGCATCTGCAAAACC
uncharacterized protein NA 6.70E-12 96.8
vesicle docking
involved in exocytosis
NA
40735
AATTCTTTCCTATGGCAGGGGTATGAGATTACTGT
CATATAATACAGTTGATATCAGGCTATCTGATCACCGCCCTGTGACTGCGGTGTACATGGTCGACG
Type 1 inositol 1,4,5-
triphosphate 5-phosphotase 1-like isoform X1
A0A3L6STM4 6.90E-12 87.9 hydrolase activity
NA
20565
AATTCCCGGCAGAGAGATAGAACGACGGCATTGT
ACGAGGCGCACACAGGCGGTGACACGGCCAGGACCTCCCTGGCCTCGTCCACCCTGCCAAGCTTGCA
uncharacterized protein A0A368QBL2 6.90E-12 87.9 NA NA
34675 AATTCTAGTTCCATCTGCACCACCAGAATCTCCCAAGTTAAAATACTTGAAGATTTCATCCCTGAAAGA
TAGCACATGTCTTGTTACTAATGGTGTCAGCA
RING-type E3 ubiquitin transferase
A0A2S3I7T6 7.00E-12 87.9 protein
ubiquitination GO:0016567
30274 AATTCCCGGGTACAATACCATTTACCCTAAAGGGACCTTCCCAATTCGGCAACCATTTGCCGAATTTAT
TATCTTTTCGCCCCAAAGGCAAAATCATTTTC uncharacterized protein J3NCY2 9.60E-12 72.7
nucleic acid binding
GO:0003676
30940 AATTCAGAAGAACACCCACTTGGACGCCGTCTTT
TCCTTCATGGTTTTGGAGTGGAAGAGCTCGTCGCCGTCGTCGCCGGCCTGCCGCCGCTTCTCCGCCC
uncharacterized protein A0A3L6TFT8 1.20E-11 93.8 NA NA
30173 AATTCAGCATTTTGAGAAGTTTGTCAAGGAGCACTTCACTTACCGCGCCCCACGCATTCTGGATGCCTG
CGAGGCTTATCTTAGTGGTGACCTTGTTGGAC
Putative ubiquitin-conjugating enzyme E2 24
A0A1E5VUQ7 1.30E-11 90.6 NA NA
3521 AATTCCTGCTCTTCTTCCTTAGATTGACCCGCGCCACCGCTACGGCCACAATTTGCATCTGTATTACGA
CATCTGGTCCGCGAGCTCGAGCACTGAGCCCT Calmodulin-binding protein B1B5J2 1.30E-11 100 NA NA
35565 AATTCAAGAGCGAGGAGGCGCTCATAGTCATCCATGTCGCTCTCCTATGCACGCAGGGCTCGCCTCACC
AGCGCCCACCAATGTCCAGGGTCGTGGCGATG
Putative LRR receptor-like serine/threonine-protein
kinase
A0A1E5W7S0 1.30E-11 90.9 protein
phosphorylation GO:0006468
11645 AATTCGTGAACATACTTGGGTCGGTGGTGGAGATGGTGGCGGCGCCATTGAAGTCGCAGGTGGCGCCT
TTGGCCTTGTTGTTCTGGTAGTAGCTGTTGGCG
PLASMODESMATA CALLOSE_BINDING
PROTEIN 1-like
A0A3L6S547 1.80E-11 93.1 NA NA
15561
AATTCTTGTCTCACTTTTTTGCAGGGCTGGCAGCG
CAAATTGGATCCAGATTACAATGTTATGAAAACATTACAGACTCTACTTTTCAAAGAAGACTGGGC
Mediator of RNA
polymerase II transcription subunit 7
A0A0E0KW91 2.20E-11 96.3
regulation of transcription by
RNA polymerase II
NA
35405
AATTCGGCGGCTGCGGAGGCCGCCCCAACGCCGA
CGAGCATGGGGTTGCGACCGCGGGAGAGGATGTCAGCGATTCGGCGGCAGTTATCCTCCCCTGCTCC
Protein DWARF 53 Q2RBP2 2.40E-11 93.5 protein binding GO:0005515
32666 AATTCTCCATTCTCGGCCCTATGCGGTCGGAGATATGCATTGATTGGCTGCATACATGCGATTGTAAAA
GCTATGATACCAATTCTAGCGTGTTTGGATAT uncharacterized protein A0A287XV68 3.30E-11 84.4
oxidation-reduction process
GO:0055114
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History & adaptation on the CO Plateau – Massatti & Knowles 2020
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33000 AATTCATACCTTTTCAGGCTAAGAACTTCATAGTTTTTCCGCAAATAATCTGCATGCTTAGTAAGAGCG
TCCTGGGCATAATCTTTGGCTACAGTTCGAAT
5'-3' exonuclease A0A3L6FDQ9 4.40E-11 87.5 exonuclease
activity NA
17452 AATTCTCTCAATTTGATCTCCTCTTCCTTGGTAGGAGCCATCTTTAGCAAGGTCTCCAGCAATTCTGCTC
CAAAGTTGCCTGTGTTACCTGCAGGACAAAC
Formin-like protein NA 4.50E-11 87.9 NA NA
33450
AATTCTGATTGTGCAGGATTTAATTGACATGGAC
ATGGAAGATGAACGGTCTGGGAGAATGGATGAAATTCACCAACGACTCCATTCTGCTTATTGCCAGT
Hyperosmalolality-gated
Ca2+ permeable channel 2.1 A0A097NUT4 6.30E-11 93.1 NA NA
25104
AATTCTCTGTATATGTGCATGGAGTGGGGCGTGG
CGATGGAGGTCGGCGACGATGTGCGGCGTCACGTGGTGGAGAGCAGGATAAGGGAGGCCATGGCCGG
uncharacterized protein A0A3B6AR37 6.40E-11 81.3 transferase
activity GO:0016758
22770
AATTCATGGTTCACCCACTTTCTAAGGCTCAGCTC
CTCGTTGAACATGGTGTCGGTGGGCTTCCTCCCCGTGATGACTTCAAGAAGCATTATCCCGTAGCT
Putative LRR receptor-like
serine/threonine-protein kinase
A0A1E5WK78 8.50E-11 87.1
integral
component of membrane
GO:0016021
24077
AATTCCCGGCCATACAATTCAGAGATATTGTCAC
GGCGACAAACAACTTCTCAAGTACATGTCTGATCGGCCGCGGAGGTTTCGGCAAAGTTTACAAGGTA
uncharacterized protein A0A3L6T804 8.60E-11 81.3 recognition of
pollen GO:0048544
30664 AATTCGGTAGCTGGGCTGCCATGACGGCACGTACCTTGCCGGCCTTTCCTGGTCTGGCCTTCCTTCCTG
CAGCTGTTGTCCCATAGGTGGGCCTCGTACCT Os06g0658000 protein A0A0P0X020 9.90E-11 85.2 NA NA
39055 AATTCTCAGGACAAGATGGCGTGTCGACCATCGAGCATATAAGCCAGTTCCTGGCTCAGTGCGGGGAGGCATCGACTGAAGATGCGCTGAGGGTGAGATTC
retrotransposon protein Q75HS0 3.00E-10 87.5 DNA
integration GO:0015074
14390 AATTCTGCGAACGCCAGGGCGCCGTACTTGTTGCCGAGCATGCCGTGCAGCTTTATGATGGTCTCCTCC
TCCTCGGCGGTGAAGTTGCCGCGCTTGAGGTC
Myb-related protein Zm1-like
NA 4.00E-10 96.4 DNA binding NA
25013 AATTCACTCTCTGATAGTGTGTCCAATTTGACGATGGATGATGCTACTTCAAACGCCGCACCTGGTGAA
AATGGGAACGGTGTGGCAGGATCCTGATTGTA uncharacterized protein C5XZU7 5.60E-10 87.1 actin binding GO:0003779
25040 AATTCGGGCTCACCTTGAGCTCGGGTAGGAAGTCGGTGAGGTGCGGGACGTCCTCGAGCACGTAACCG
CCGCAGCCGCTGGCGAGCTTCTTCTTGGCAGAC
ATP-dependent 6-phosphofructokinase
C0PCM8 7.60E-10 92.6
fructose 6-phosphate metabolic
process
NA
22453
AATTCGAGAAGGAACGTCGTACTTGTGGGAAGCG
ACGTGGAGCTCCTCGTTCTTGGAGCCTTTGAGGTTCTCGGAGCCGAGCTTCACGAGGAAGGAGCGCC
SNARE-like superfamily protein
NA 7.70E-10 100
retrograde
vesicle-mediated transport
NA
41687 AATTCAAGCCGAAGCTTTCAGACTTTGGCCTGGCGAGGGAGGGGCCAACCGAAGGCAGAACACACGTCTCCACCGCGGTAACTAACAACACGAGATCTCCT
uncharacterized protein A0A0Q3JIL9 1.40E-09 100 protein kinase
activity GO:0004672
28458 AATTCCCGAGGTTCAACTGAGGCAATGGCGGGCGAGCAGGTGCACGTGCTCTCTGCGCTGGACGGCGCCAAGACGCAGTGGTACCACTTCACGGCCATCAT
uncharacterized protein NA 1.90E-09 96.2 NA NA
4621 AATTCCTCATGCTCGAGGGCGAGGACGGCGAAGGGGGCTACTACCCCGAGCTACGCTGCTACGACGGGCAGTACTACTACGTGCAGGAGCAGCAGGAGGAG
uncharacterized protein A0A0E0KGX1 2.00E-09 75 NA NA
9868 AATTCTATTATTTCGGCAAGGGAACGAACTGGAGAGTAAGACAAATCTGACAAATAAGCGTTCAGGCT
uncharacterized protein I1IVI9 2.00E-09 96.7 NA NA
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TAACTTGAACTCTGCTAATAGAGCAACCAGCTC
34818 AATTCCACTTTGACAACCTCAAGAAAGTATCTAT
CACTGGATTCTGTTCCTCCAAAAGCTTGATTGAGCTAACGGGTCAAATTCTTAAGACTTCCAAGTCT
uncharacterized protein A0A0A9RTP3 2.70E-09 81.8 NA NA
60433 AATTCCTACACTTGCCGTGCCAGCAACCAGAACACCCGTTAGCTCCGATGGATGTGGTTGCTACATGTT
GACTAACAGAGTCCATGTCTACCCGCGCCACA
uncharacterized protein A0A0A8YPK1 2.70E-09 76.7 RNA binding GO:0003723
31873 AATTCACGTCAACAAAGGTGGTACCTTTCCCAACTGATCGAAGAGCACTGAGGGGCTGCCATAGAGCT
GAGAAGGTGATTCCGATGCTGAACAAGTGGACC
uncharacterized protein A0A0A9NLR2 3.00E-09 100 integral
component of
membrane
GO:0016021
60473 AATTCTTAATCAACTAACAAGTAGCTGGTTCCAC
ATCTCCACGGCTTCTTGTCTCACCTTCTTCTTCCTC
CAGTACCCACTCATAACAACATCCCATGTTT
uncharacterized protein A0A2S3HTJ6 3.60E-09 82.8 NA NA
29577 AATTCCATCAGTTGAAGGGGCAGCATGACAAGCTCTTGAATTGACTCTTTGATATCATCTAGAGATCCA
ATGTCATCAAATGTCACTCCTATTTCACCAGC
Putative AAA domain-containing protein
C24B10.10c
A0A199W7S5 3.60E-09 86.7 NA NA
37250
AATTCTATCCAATCGGTATTTGCAGTGGCGGTGTG
TCAATGCACAGGCTGATGCTGCCCTTGCTGCGCAGAAGCTGACTGTTGAGGTGAGTATCTGCATTC
uncharacterized protein A0A2T7C0P8 3.70E-09 92.9 NA NA
147
AATTCTAATTCTTACATGGCGTGGCTCGACAGGC
AGCCGGCGCGTTCCGTGGTGTATGTAAGCTTCGGCAGCCGTAAGGCCTTGGCCAGGGAGCAGATAAG
Glycosyltranferase A0A0E0A8A8 3.70E-09 75.8 transferase
activity GO: 0016758
5622
AATTCTCATTCTCCTCCTCCTCCCCCTCCTCTTTGT
CCTCGTTCACATTCTCCAAAGCCTCCAAATCAGGCGGCCGAGGCGACGGTGGGGCAGGTACCGCC
uncharacterized protein A0A3L6QR23 3.70E-09 81.8 nucleic acid
binding GO:0003676
41751
AATTCCGAGCGATTTCACACAAGTCGCATGAACT
CAGCTTCCAAAGCTGCCAACAGGAACAAGCAAAGTAAGCAGATCTGTGTGGCCAAGAAATGGATCAC
uncharacterized protein A0A452YWY3 4.90E-09 63 deaminase
activity GO:0019239
27631
AATTCTGCGCTCGAGACCATTGCTGAGGAGGGCG
CCGCGGTCTCTAGTTGGGCCTCGGAGTACCCACCCAACATGCTCTTCTATGCGGAGTACCCTGGTTG
protein transport protein sec16
A0A1D6QV04 5.00E-09 73.2 COPII vesicle
coating GO:0048208
34161 AATTCCGGGTAGTCACGCCGGAAAGCATCTTCCCGTTCCCAAGTGGCTTCCTCCTCCGAGTGATTCCGC
CATTGCACCTTGACGAACTTGATCTTGCGACT Retrotransposon protein Q7XE96 6.70E-09 68.8
DNA integration
NA
65948 AATTCTCAGGTACATTCATGGAACAATTGAAATGGGACTGAAGTTTGTTAAAGATAGCTCCCTGCTAG
TTAGTGCTTTTTCTGATGCAGATTGGGCTGGTT retrotransposon protein Q2QY49 6.80E-09 75.8
nucleic acid binding
GO:0003676
21937 AATTCCTTACGGTCACGGTGATCTCGTGGCGTCGGCGGTACGCCTCCGTGGAAGGATCATCGGGAGCTGCAGAAACGACAGGAAGAGGGTGGTGGTGCGAG
DEAD-box ATP-dependent RNA helicase 40
A0A1E5VF87 9.20E-09 78.8 ATP binding /
helicase activity NA
41723 AATTCCTGAGGTGGCTACGGGGAAGGAATCTCTCGAGCGACGACCGCATAATGCGCCTAAAAGAAGGGTACTCTTTCATCATGTTCTCCAGTCAACTCTTT
Ubiquitin-specific protease family
A0A1D6Q0A7 9.30E-09 92.3 peptidase activity
NA
47369 AATTCCTCACCATCATCTCACTGTTATTGTTGAACGATTCGTTGAGAGTGTTCAGAAGGTTCAGGTCCT
TGGTCGAGGCTCCGATCTCGTCCTCGAGGACT
transcription factor bHLH61 A0A1E5VQ23 1.70E-08 75.8 protein
dimerization
activity
GO:0046983
34096 AATTCTCACTTCCTGCAGCACTGCCTTCCTTTTCT
GATTAGAGCTCGCTGTTTCTGCAAGTGAGTTCTCA
TCTGTCGCATTGTTATCACAACCATTTCTAT
uncharacterized protein C5WZ78 1.80E-08 75.8 NA NA
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History & adaptation on the CO Plateau – Massatti & Knowles 2020
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37576 AATTCTATGATGGATAATGGACAACCTTTTTGACATCTTTGGAAGAAACTAAGGGCCTTGCGGAATCA
TGTACGCAAACAAGTTCCGAATTTCTATCAATT
uncharacterized protein I1HU38 2.20E-08 92.6 isoprenoid
biosynthetic
process
NA
5202 AATTCCGAGTGCCAAGCACGACCCTCGCTAATGGGATACAAAGGGACTGCTTCCTGTTCATCGTGCCC
AAGTCGTACCTAGAGAAAAACAGCAAAATCTCT
uncharacterized protein A0A0A9H6B2 2.70E-08 75 NA NA
13104
AATTCTTCAGCTTCAGCGATTATTTGAGCACGTAG
CTCCTTCTCCTTCCGTTCTTTTGCCTCAAGTTCCAAAGCATTTTTCCTGAAACCATTGCGACAATT
Clathrin light chain A0A287JMT4 5.00E-08 89.7
intracellular
protein transport
NA
8288
AATTCCTTCTCCTCCCCCGCCGCGGCGAACTCGAG
CCGCCCTGGCCGCACGTCCACCGACACGCCGTGCGGCTCGGTGACCCTCGCAACGTACTCGACCGG
uncharacterized protein A0A287RQV0 6.00E-08 75.8
serine-type
endopeptidase activity
NA
30358
AATTCAGTGTATGTTATGATCTCAACTGAAGCAG
GGATCTCATTTCCGTCACCGCCTCCACCGACTGTTGGTTCAGATTGAAGATTTATCTGCTCATCATC
uncharacterized protein A0A2S3ILP0 6.10E-08 74.3 NA NA
189
AATTCACCGTCCAAACCATCTCTCATGGATCGAC
GACTGGTACGAGACCAAGACCAGCACCAGCCCCAGCGCAAGCGCGACACCCCACGGCGACGACCCCG
uncharacterized protein A0A498JNU3 6.20E-08 75.9 NA NA
30569 AATTCGTAGGAGAGGTTGAGCGGCGTCCAAACGGACTCGTTCATGACGTCGCCGAATAACCCGCTGCCGTCCTCCTTGAGCGGCGACGCGGCCACCACCGA
Anthocyanidin reductase-like
C5XDT9 1.10E-07 78.8 catalytic activity
GO:0003824
16261 AATTCCTCATGGTGTCCATCCAGTGACACGATCGTGTCGTTTGCCGAGAAGATGCTGAAATTGGAGCAG
ATGGTGGAGAAGATGACCCTGGAGGGCCTCGG uncharacterized protein NA 1.50E-07 76.7 oxidoreductase NA
56311 AATTCATCTTCGGCCTCATCTTCAGGGAAAACCAGCTCGTGGAGACGGACCCGCTCCTCAACAAGGTCGACGGAGCGACGGCGCTCCGCAGCGCCATCCCC
uncharacterized protein A0A2S3IGM9 1.90E-07 81.5 NA NA
55079 AATTCAGTCAACAGGAGCAAGTAGGTACCCTGTTTCCTCGGTCGATGAACTTCATGGCCACCAGCTCCC
GCGTCTCCTTGTTCCGCATCAGCTTGGCCACT
Serine/threonine-protein kinase SAPK5
Q7XKA8 4.00E-07 92
signal transduction of hyperosmotic
response
NA
2594 AATTCTATGGGTATTAAAATATTGAGGCGTATGGTGATTCACTTTTAGTCGTGCAGCAAGTTGCCGGTA
ATTTTCAATGCCTCGATGGTTCTCTTAATGCC
protein L0P3P1 4.00E-07 76.9 nucleic acid
binding GO:0003676
58555
AATTCCGTGAATAGAAGGGGATTTTCCACCTTCC
GTTAACGCATATGGAGCAGCAGGAGGGGAGGTTGGATCCCTCGCAGAGCGCGCAGCTGCTGCCCCGT
DNA-directed RNA
polymerase II protein A0A1D6IKB5 4.10E-07 86.4
RNA
biosynthetic process
GO:0032774
36280
AATTCTGTTATATCTGGCAAGTGGTCCTTTGCGAC
ATAGAATCAATGTTATATGGTTGTATACTGTTTGTAAAACTTAAACATTGGGATTGTGTCCTATCT
ATP sulfurylase A0A0A9GXL7 4.40E-07 72.4 NA NA
21629
AATTCAGGTGCCTCATATTTCGTTTTGGATTTGAG
GGACAATCTTGGCGGACTAGTGCAGGTATGTCAGCTATTTTGCTCTCTATCATATGATATCTCTGT
uncharacterized protein A0A287L925 5.40E-07 82.1
serine-type
peptidase activity
NA
11901
AATTCCGGATACCCATGTCGCCTCCTCTTCAGAGT
GATTATTCCATTGCACCTTCACGAATTTGATCTTGCGGCTTCGCAGTGTGCGTTCCGCTTCATCAA
protein Q01MJ7 5.40E-07 69 proteolysis GO:0006508
24343 AATTCTTGTGGTCTTCGGGGCTGCTCAAGGCTGTGGCGGCCCTGGTGATCCTGATGGCCGGCGTGCTCA
TCGGGCATGCGGCCAGCACCAACTTGTACTAC uncharacterized protein A0A368QAI2 1.00E-06 72.7
acetylglucosaminyltransferase
activity NA
-
History & adaptation on the CO Plateau – Massatti & Knowles 2020
20
32471 AATTCCTGATACATTTTTTATGGGCTTAGGACAATGCAAGCTCATTAAAGGCCCAGCTTGATCAGCAGA
AGGGTGTAGTTGAAAATTTGATTTCAAACACC
Probable membrane-
associated 30kDa protein Q8S0J7 1.00E-06 95.8
host-virus
interaction NA
23585 AATTCTATGCTTATTCCGTTATTCCATTGGGTGCCTTTGTGCAGTCACAAGAAGGCATCGAAGGGTCAT
ACAAATGGCCACCTTCACTTTATCTGTACGCG
uncharacterized protein A0A0A9ENA8 1.00E-06 83.3 NA NA
22278
AATTCTCGGCGCCGTACGCACCTCAACAAAACGA
CGTTGCGAAGAGCAAGAATTGCACCCTCATTGACATTGCTCAACAATACAAGACCTCTGACCGGTTT
retrotransposon protein Q10IC4 1.00E-06 64.9 zinc ion binding GO:0008270
30638
AATTCGTACCTCCTTGGAAGCATTTGGGGCATTG
AATCCGCCCCCATGTTCTGTGGGTTCCAGGCGCCCATGGATGATGAGGCCGTGACAAGCTTGCATCG
uncharacterized protein Q651N2 1.10E-06 89.5 NA NA
14606
AATTCGAGATGAAGGATTTAGGAGTAACAAAGA
AAGTTTTTGGCATGAAAATTCATAGAAGCATGACAAGTGAGAAGATGTACCTTAGTCGACAAGGTTAT
protein Q7XTM9 1.40E-06 63.6 nucleic acid
binding GO:0003676
32038
AATTCCTGCCACCAATTTCCTCAGCTCTGGACTGC
TCCTACTGTCTCTCAGGATCACTGCGAGGTTTCTAAAAAGAAGGGGATGTCTGGATATATTGTTTC
uncharacterized protein B8B5D0 1.40E-06 77.4 NA NA
38562 AATTCACGGGGATCTACGAACAGGACGCCAGCAGGCGACGCCGTCGTCAAGTCGTCCTCGTTGTCGTCG
CTGGCATCGCCATTGCCAACGGCAGCACCGAG uncharacterized protein A0A287TQI9 1.70E-06 71.9 NA NA
2218 AATTCAGACTTGCTCACCTAGGCATTTGGTGCAAAAGGATCAAGGGGATACCACTCGATCGTTAATATTTTCTCCAGTGGCACACCATAGTCTAAAAGGAC
uncharacterized protein A0A3L6PZU7 1.90E-06 80.8 NA NA
1826 AATTCTGGTCCAGTTTCGACATTCCAGGTTCATGAATATCTAAGGCCTAAGGTAATCTCTTCCATGCTAA
GATAAACAGCCAACAGTTCTTGAGGACTACA
Serine/threonine-protein phosphatase 2A 55 kDa
regulatory subunit B A0A453F0F3 4.90E-06 87.5 NA NA
1072 AATTCTATGCAGTTTCAACATCTGGACAACAATC
AATGTGGTAATGGAGTGGAAGAATCAAAGACACTGGCGACTCATAACCAAATTGGAGTTGCTCACGT
uncharacterized protein A0A1B6QNQ3 6.70E-06 74.1 G-quadruplex RNA binding
GO:0002151
5808
AATTCATGATGCGCAGTGCCAAGATAGTCAGCAA
CTTCCCTAGCAGCTTTAAGATCTGGAGAACCCTAGAATGAAGAATGAAAGAAAAACTTCATCATACT
Asparagine synthetase A0A199ULZ1 9.10E-06 95.2
asparagine biosynthetic
process /
glutamine metabolic process
NA
3235 AATTCCAATAATTCATTGAAAGCTAAGGAACAATGATTGGCAAGTGGTGGTGGAAAGATTTGAAAAGA
AATTGACTCATTGGAAAGAAAAGCTCATGTCCT
protein Q01HC3 9.20E-06 66.7 NA NA
13852 AATTCTAGAGGTTCAAGCGAAACATCCTCCCTTGAAGCTACTGGAAATAGTTCCTCAAACACCAGTGC
GCCAAAGGCAGCAAATGCATCTGACGGTTCTGG
uncharacterized protein A0A0A9DLQ5 1.20E-05 75 NA NA
13183 AATTCTTCGTCTTTTGTGTATTCTTGCAGGTATCGTGGGAGGAGCTGTACATCAAATCCTTGCTCCGAT
CCGCCCGCGGCAGCCTGATGGGACCTGCAGCC
uncharacterized protein A0A1D6M9V6 2.40E-05 90.9 NA NA
22807 AATTCAGAACTTGGTACTGCCCTCAGTGACAGTGTGTCAGATCTCAATGGAGATTTTCATAGAAATTTC
AATAATCTTTTGTATGCGAAAGGGTGCCAGCA
uncharacterized protein K3ZHB9 3.20E-05 57.6 nucleotidyltrans
ferase activity GO:0016779
5820 AATTCGAAATGAATGGTTTCTACAACCGCAGGAG uncharacterized protein A0A368SI73 3.20E-05 64.5 membrane GO:0016020
-
History & adaptation on the CO Plateau – Massatti & Knowles 2020
21
AAGCAGCCACGCGTGTCGCACCGTCCATCCCTAGAACACCGCCACGTACCGCCACACCCAAATGTCC
17004 AATTCGAGTTAGCACTGTCCAGGAGGAGAAGGAATCGGGGAAAGAGCTAAGTTCTCACCTCCTTCTTCT
TCCGCGCGAGGTTCCAGATCCTCCACGTCATG
Putative sucrose-phosphate synthase 3
A0A3L6DDT8 3.90E-05 67.7 NA NA
25768 AATTCGGCGGCGTTCTTCCCACCGTGGCCGTCGAATACACCAAACAACGCCTGAGAAAGTGAAGAAA
TGGATAGATTAGTGCGTTTAAAGCAAATTCTAAA
uncharacterized protein A0A3L6DF17 6.00E-05 70 metal ion binding
NA
8446 AATTCAAAGGGCTTACATTTTCCACATATTGGTATGGTACAGGCAAATTTCATGAAGATGCCATTTTCC
GATAACACCTTTGATGCTGTTTATGCTATTGA
Cycloartenol-C-24-methyltransferase 1
Q6ZIX2 8.40E-05 90.5 sterol
biosynthetic
process
GO:0016126
1249 AATTCCTCCTCGGATTTGGTGTGTCTGACGCGGTTCTTGCGCCAGATCTGAAGGAGATCGCGTCGGTGA
TCGAGGCCGGCTCGCTGTCCAAGGAGGTCCGC
26S proteasome non-ATPase regulatory subunit 3
homolog A
NA 1.10E-04 81.5 enzyme
regulator
activity
NA
41793 AATTCGAGATGTCCATGATTGGCGCCATGAGTTTGCTTCCATGATGTCGAGGGCATTCGAGATGTCCA
TGATTGGCGAGCTTACATTCTTCCTTGGCTTTC
Retrotransposon protein Q2QVL0 1.50E-04 79.2 zinc ion binding NA
36528
AATTCCTCTTTGTTTCTGATACAGGTGTGACAAGA
ACGGCGATGGGATGCTCACGGAAGATGAGGTCAAAGAGGTTAGCGACTCACCGAAAAGCACATGAT
uncharacterized protein A0A287M3Y8 1.50E-04 90.5 oxidoreductase
activity NA
35598
AATTCCCATTAGTATTATGTGAACTAGGGGATGG
GTTGCCCTGGTTCTGCTGCAGCAGTTGAGAGAACCCATGCCAGAATCTTGTGGGTGGAACCTGACTG
uncharacterized protein N1QWC7 1.60E-04 68.8 NA NA
31805
AATTCAGCCAAACTCAGTGCTGGTATTCGAGATT
GAAGTCCTCAGCGCTCAGTAACTGCGAGTGTGATTCTGTATGGGTCATTGGAATGCTATCGTGCCGA
uncharacterized protein A0A0A9UMF0 1.80E-04 69.9 NA NA
31472
AATTCCACGCTCCAGCTTCGGTTCTTCAGTTGGAC
AAGCCGCCGTTGGAGAGAGAGTCCCAGCCCCAGACGTAGCCGGCGGCGGCACAGCTCGTCACGTCG
uncharacterized protein A0A0A9QUC8 2.20E-04 66.7 NA NA
22649
AATTCCAACTGGCTCTCTTCAGGAACAGCAGCAG
GAAGAACTTGTTCGCCGATCGGGTGAGTACCCATTTTATTCTACTCCATGTATAGCAGACCATTATT
uncharacterized protein K3YZZ8 2.30E-04 85.7 NA NA
17786 AATTCGCCCAGCGCGATTTCCAGGTGCCGCTCCTTTGGCTCCATGTTGTTTCTACACAACAACAACGCTT
TCCTTATTAGTAGTAGCACATCATCATAGGT uncharacterized protein A0A368S804 2.60E-04 80 NA NA
37669 AATTCACCAACCAGGTCGATGGTTTCGTTGCTGATGGCGTCCATCGCGAGGGCGTTGGCCTCCATGGCG
GTCCACCGTACCGCAAAGGGAATCAATCTGCA uncharacterized protein A0A0A9GYP9 2.80E-04 71.4 NA NA
20139 AATTCTGGTTCTGATTTCTGCATACATATGTGCATCTGGGGAGCCCACTGATCTGCATTCACATTACCA
GAGTCCCAACCGTGAGATTCTATTACAAAAAG uncharacterized protein A0A0A9IS59 2.90E-04 78.9 NA NA
13540 AATTCATGATCTGACGATCACCACCAATAACACAAGCATAAGCACATACCCTGATTGTGTGAACTCCT
GCATAACAGCGGCAGTCTCTCGTACAAGCTGTG
Proteasome subunit alpha
type A0A1D6Q5M1 3.30E-04 80
ubiquitin-dependent
protein
catabolic process
NA
70668 AATTCTAAGTTGTCAATTCTGTGGCTTCTGTTCTCCTCAGAAGGTTCCATATAGGGACAATTACTCAAG
TTCAAGAAACTACAGAGGAGGTTACAACAATG uncharacterized protein A0A2T7CFX0 5.30E-04 76.2
nucleotidyltransferase activity
NA
-
History & adaptation on the CO Plateau – Massatti & Knowles 2020
22
1302 AATTCCATGTGCAGGCATCGACCATTCACCGCTTGTGGAGCACCACTCTGCTGCACCGCGCAGCAGTA
TCAGTGCGTGCACACTCTCCGACTCTCTTTGTG
BURP domain-containing
protein A0A3L6T4X2 5.50E-04 69 NA NA
1723 AATTCCTGCCTTGACATGTGCTTCATCTCCTCCAGCTCCTTCTCATACGTGCTTAACTACACGAGCCAAG
TCTAGTAAATCAGTAAACACTGACACACATG
uncharacterized protein A0A453IWN1 6.10E-04 94.4 NA NA
29809
AATTCTTAGCTGCAATGTTACCTTGTGCAGGTAGT
TAGCCGTGTAGATTTGCAAACCGTGTCAGTTTGTGTTGAGACAAAAAGGAAAGTCTGTTTCACTTC
no hit
33472
AATTCGTGGTGGACCAACCGAAACGGAAGCTTGG
AAGCGTTTTTCCGTGCGGATCCAGGCAAGAAAGATCCGTGTTCGCGACAGCATTCCCCGGGATCGGA
no hit
27483
AATTCCGACTCCTTCGACGCCTGCTTCACTGGCCC
GCTCGTGTGGGCGCTCCCGCCGCTCCGCGGAGATCATCTGGCAAGGACGCGGCGACGACCTCATCC
no hit
74818
AATTCTATATGAAAATAATCATGATAATCATGTA
CCTTTTCTTGTTTTCTTCTATAGAAATGGTACAGTAATATTTTGGAAGCTGACAAAACACAACCACC
no hit
17330 AATTCTCTATATACAGCATAATCCCATGCTATATTATGCTAAGTTAATCTTTTTTGCCAACCTTCTCTCC
CCAGCACTTAGTGCCTATGATATTCCTTAAA no hit
37541 AATTCACCTAGAATCAACGTATTTTAGTAAACGTCTGTAATTGACCCCCGACCTATCAGTCGTCTAAAACATACGCCTCATTCCCACTTTGGGAATGACCC
no hit
12720 AATTCTGCTTCTTGCTTGACCACAAAACTAAGGAACGCCCTAGCAAGTGATGCCCAAAGAGGTACTCTTGCGATCCACACGACTTCTGGCAAAGTCAGAAT
no hit
95098 AATTCTGATATGAATTGCCATTGTCAGGTTCGTTGCAAACAGTCCACATGAAAATGGAGCTTTGACATT
GCTTAAAGTTACTACAGTCCAAAGCTGGACCC no hit
34693 AATTCTTCCGCCGCCACCTGTAAGACAATTCCACGCCAGGGATTCGAGAGCTAAGCTTAAACAATTCGGGTTAACCAATACGAGGACGGTCGCTGTCAAGG
no hit
3930 AATTCTTAAAAACGACCGTGAAATGCGTAACTTATGGCTTCGGTCTCTCTCTTGAAAATCGAGATTGTG
TGGTGTTCAGTGTACCTCAGATCGAAGTTTTT
no hit
37447 AATTCAGCAGCATATATGCTCTGCTCTGCGGTTCAAATGGCCACTCACTCGAGGGTGCCGTTGTAGCTG
GAGGTCACCGTGAAGGAGGAGAAGCCGTTGTC
no hit
19532 AATTCGAACGCGATCTTAAGCATCGCTCACTAAGATCATACACAGACACATCTGCTTTTCCCCTCTACC
TGTTTTATTTGTGTTTTTTTTTTCTCGTTTCG
no hit
23454 AATTCCACATTTCTCATACCATCCCTGACAAGGAAAAGACCTCTTTTTCTCAAAGGATGATAAAAGCT
TCAAGTATGCTGTTAAGTTCAAGACACAACGCA
no hit
11636
AATTCCGCCCTGATTCGGGCGAGACCTACCTCGA
TCGACGCGGCGCGGCGGCGTCGGATCGGGATCGGGGATGCGGCGCGGGCCCCACGCTCTCGTGGCCT
no hit
39710 AATTCCAAACGTCGATACGGTGGGTAGGGTAAAC no hit
-
History & adaptation on the CO Plateau – Massatti & Knowles 2020
23
ATGGAGCGATCCACGACCGATACCTGCACGTTGAAGCTCTCCTCCACCTTGGTGTAGGGCGCCATGA
13144 AATTCCTATCACCACTGGTTTTATAGTCAAAAACATAAGTTCCTGTTTACCTGAAAACTGAACATGAGT
ATCTTCTTCCTTGCATATTCGGATGGATATAT no hit
35715 AATTCATCCATTCTTATTAATGAAATCATCAATTATATTTTCATATTTAGTTTCCTCCAAAATGTGATCA
CTTTCAACCACTATTGTTGCTAACGCATTGA
no hit
4848 AATTCTCAGCGACGTAGATGAGAGAGCCCTGGGGCTGCAGACGTCGAACCAGCCATTCCTGTGGGTGG
TTTCGCTCCGACGACTCCAGTATCCGTGGGCAC
no hit
39950 AATTCTTACGTGGTTGGTCTGGAACGGGCGAGGTGAATTGAATTGCGTGTGTGCGTGCAGATCAACAC
CTGCAACGGATTCTACTGCGACCAGTTCACGCC
no hit
87626 AATTCAATCAAGAAATCAGGGATCGAACTAATAGAATATCCTTCACAATATCAAGTAGCCGCCAAGAA
CTCATCAAGAATCGATCTTCACATGTAAAACAC
no hit
27151
AATTCTTGTCGTAACATGGCAAAGTAAGGTGAGT
TCTTGATCTGCAGGTGGCTACCCTTGTTGCCGTCTATGCGAACATCGGCTTCGCTTCGATCAGTTCG
no hit
18879
AATTCTGTTGTGGGCTGTTTCTCACTGTGCAAGCT
GAATTGCCATTTGTGGTTCAGGTGGAAGCGAAGAAAGCAGTTCCCAGGGACGACCATAGTATCACG
no hit
37439
AATTCAGGGTCACAAGATGATTATAAAGAAATTC
AAACCTACCTTAGCTACATTGCCCCAGCAGTCTCTTACCATTTAATGAACAATAAGGACCTTGAATA
no hit
2336
AATTCGTGAAGAAGAACCCATCGGCACTAAGAAA
CATGTCGCTTCCCTACTTGCAGTGAGTAGAGTGGATTATCTGCCCATGTTCAGTTCAAAATTGAACC
no hit
36767
AATTCTGGCCATTGAAGTGGCAGCATGACAAGCT
CCTAAATTTGACGCCTTGATATCATCCAGAGCGCAGTATCACCAAATGTCACTCCTATTTCACCGGG
no hit
17799 AATTCCTTCTTCGTCAATGTCGGCGACGCCTTGCAGGTACTACTGATTTTGGACCTTTTCATGTTTTATC
TCGATGATTAGCAAATGCACGCATGGAATCT no hit
72822 AATTCATCCTTTGGAGGAATTAAGATTTGGCGACGCACAACACTTTGAGCTTCAGTCACAAGTATATTAATCATTTACCTATCCATGCACAAAATTAATTT
no hit
27740 AATTCCCCTTTGTCTCCTTTGGTAAGTTTGGCACATGTTCATGCATCCATCTGCTAGCTATGCCAAAGGAAGGGACAATACAATCTACCAAATAGGCTGTA
no hit
14468 AATTCGCCGTACGAGAACAGCTGGTCGCCGCCAACGAGCTCGGCCAACAACACGTCGTCCATCGCCGTGGACTCACCCCCCGCCGCGGACGCCCAGACGCC
no hit
3707 AATTCGAACGCTAGCAGAGCAGCGATCCAGGGG
AGGAGGAGGTGGCACGAGTTGATTACGAACCTGG
CTGCGGATAGTGGCGTCGGCGCCCTCGACGGCGC
no hit
31217 AATTCATGGATACTCAGACCAACCATAATGACTGAAATTGTCTTATCAATAATTCTTTGTGATAGGCTG
no hit
-
History & adaptation on the CO Plateau – Massatti & Knowles 2020
24
GGGAATTAAGAGACCGAGAAATGGAGCTGAAG
23036 AATTCCAACTACTGCTCTCACTGAACCTTTTCTCTGTATACGTTTGTAGATTACTAGTTGGCTGGAATCA
GCGCCCAAGATATCAACTCGTGTTCCTGAAC no hit
29902 AATTCTGTGGAACAGATCTTTTGCATTTTCAAACATTCCATGTTCAACATATGACCTCAACATGAATCAT
CATGTGGCATGTCACATCCATTAGGTGAACA
no hit
5371 AATTCTTGATCAGCGTATATTTGTTTGGTTCTGACTCCCATTTCAAATCCCCCTCGGGAAGATCCTCGTG
AGGAAGGCCAAGAATCGGTACACATGGATAG
no hit
3658 AATTCAGGCTCAACACGACCACTCGGGTGGACACCGAGGATAGATTGCAGGGGATGAGATGTGTTAGC
TCCAGCTTCCACCATGGCGGCCGCTGCCTCCGG
no hit
44159 AATTCCCCATTGACACAACAAACATCAAGGTAATTATACTGGTATGTATACTAGTTTGGTGATAATCAA
TGCAACGGATCTTCATATCATGCATCTTCCTG
no hit
77255
AATTCGAGGTTGATCACCATGGCCTTTTCCCTAGC
TGCATAATTAATCTTCGCAAATTACAACACCAAAGTTTTGGGTCTTCTTGGTTTTCTCGCCAACAA
no hit
30235
AATTCTCTTATGTATTGTAGAATATACAATCCTAA
GCAATGCGGGAAAGCATAAACTCACCTCCTTTGACGGTACATATATGTAAGGAATGTTGGCTTCCT
no hit
30476
AATTCTACCGTGATGCGTCTAGTCTCCAATATGGG
AAGGTACGGCAACAGTGCCATCGCTTAATAGATCTTTTGATGTTTATGTAAGGTCCTCATGGAAAG
no hit
39357
AATTCCATTCGCTTATAGGACGGGTCTCATATCTG
ATGATATCTACAAGGTAAGACTGGAAATTTTGAATAGTATCCTAAACTGATGTTTGTATACTCTGG
no hit
16713
AATTCTATCTATAAAAGCCGCATCAGGTGAGGTC
GAGTGGCGGCGGAGAAGTCCCGAGGCGCACAAACGGGAGCCGTCGCTGCCAACGGAAACGGAAGCTT
no hit
19966 AATTCGGATCTCCACCACATTCCAATGCGTTCCCCGACCTAGAGAATAATCGGTGTTAGAAATGGAAAA
TGATTCAGAAACATACGTATGGCATCTAAGAT no hit
13763 AATTCTGCTGTTGAACAGAATAAGAAGCTTCGTGAAGAACTGGTCAGTGTTTTTTGGCTTATTTTTCCA
ATAGTTCTGGGCTCTAATGAATAAGTTACTTT no hit
35605 AATTCTATTTTGCGCTGAAATCAAAGATTCTATCAGTCTCATGAGGACGATGCGGGCCACACGGAAAAC
GGCAGCGGAATGTCCTTGGCCACGGCGGCCAG no hit
18216 AATTCGGGCCCTACTATTTCATCGCGTCACCGTATCCATTCCCAGGTTGATAACTCTGACACATGATGTT
TGCAAGGTTTTGATCGGGTTCAGTCTAAATG no hit
30183 AATTCACGCTTCCCAGGTAAGCAGATTATTTTTTGCCCGTTTGGATGGGATTACCACTTATTTCGCTCGG
TAAGCCGCTTATAAGCAGAATCAAACAGACC
no hit
35409 AATTCCTCCTCTGCAAATTATACACTACACATAAATTTCTGCAAATACATCCAACCTACAGACATTTTCC
TGACCTTTAAAGTCGAACCCGTAACCAGTCT
no hit
-
History & adaptation on the CO Plateau – Massatti & Knowles 2020
25
24301 AATTCCTATTGTGGCTGGTGCCACGGCCAACGGCTACACCTGATAAAAGGGGTAAGCCTGTGGCGGGT
GTGGGTGGAGGGCATGTTGTACCGCCAAAGCTG
no hit
94263 AATTCTTACCCGCAGCCGATCTTATTCTGGTGAGAGTTCGGTGGTATTTTTTTCCTGTGTATTCATTTCCA
TAGAATGTTTCCCTCACTCACCGGGATCGG
no hit
35900
AATTCTCTCAGCGTAGCTATTGCATTCAATTACAG
TAGTGCTGAGAAAATACTTACAGCTCAAGCAGCAACTGGCACAGGTTCAGGGACCCTGGAATTTCT
no hit