Literature DB >> 27489478

Molecular and morphological evidence for Penstemon luculentus (Plantaginaceae): a replacement name for Penstemon fremontii var. glabrescens.

Robert L Johnson1, Mikel R Stevens2, Leigh A Johnson1, Matthew D Robbins3, Chris D Anderson2, Nathan J Ricks2, Kevin M Farley2.   

Abstract

Penstemon luculentus R.L.Johnson & M.R.Stevens, nom. nov. replaces Penstemon fremontii var. glabrescens Dorn & Lichvar. The varietal name glabrescens was not elevated because it was already occupied by Penstemon glabrescens Pennell, a different species. This new arrangement is supported by molecular and morphological evidence. An analysis of genetic diversity in populations of both varieties of Penstemon fremontii Torr. & A. Gray (glabrescens and fremontii) from the Piceance Basin, Colorado, using SSR (simple sequences repeats) or microsatellites markers, revealed significant genetic differentiation between the two. Penstemon fremontii var. glabrescens was also genetically different from Penstemon gibbensii Dorn and Penstemon scariosus var. garrettii (Pennell) N.H. Holmgren. The combination of hirtellous stems, glabrous leaves, non-glandular inflorescence, and long anther hairs distinguish Penstemon luculentus from other morphologically similar species.

Entities:  

Keywords:  Colorado; Penstemon; Piceance; Rio Blanco; White River Shale

Year:  2016        PMID: 27489478      PMCID: PMC4956928          DOI: 10.3897/phytokeys.63.7952

Source DB:  PubMed          Journal:  PhytoKeys        ISSN: 1314-2003            Impact factor:   1.635


Introduction

While investigating Pennell (1920) and its varieties, the authors encountered two herbarium specimens from Rio Blanco County, Colorado (BRY81341, BRY81345) that had hirtellous stems, a trait not found in . Further investigation led us to determine that the specimens had been misidentified and that they correctly belonged to Dorn and Lichvar (1990) under existing taxonomic circumscription. Similarly, we encountered several herbarium specimens labeled as Dorn (1982) from Rio Blanco County, Colorado (BRY112313, BRY112314, BRY112315, BRY112316) that also belonged to . All but one of these specimens was collected prior to the publication of and they had not been annotated since to reflect this newer taxonomy. The original determinations of these specimens reflect the observed similarity of to and , rather than with Torr. & A. Gray in Gray (1862) sensu stricto. Though var. was recognized at the varietal level within , uncertainty as to its placement within this taxon has been expressed. In the most recent treatment of the Colorado Flora: Western Slope, Weber and Wittmann (2012) state, “In our opinion, this variety is not closely related to and it might be better placed, as a species, closer to the peripheral and .” The similarity of var. to and was also mentioned in its original publication and morphological comparisons made with these taxa (Dorn and Lichvar 1990), although there was no indication with which of the four varieties of those comparisons were made. can be easily distinguished from by the abundant glandular pubescence present on the inflorescence axis (including sepals and corolla) and distal portions of the stem as compared to the later. The glandular hairs often extend from the distal stem region to mid-stem or below, though becoming less dense proximally. only occasionally has glandular hairs (in some varieties) with hairs sparse and never extending onto the proximal portion of the stem. Variety is most easily distinguished from sensu stricto by its glabrous leaves and longer-haired anthers versus that has hirtellous leaves and shorter anther hairs. Variety is most easily distinguished from by its hirtellous stem, having glabrous stems. In this paper, we re-evaluate some morphological characteristics between and . We also make comparisons against (Pennell 1920) N.H. Holmgren in Cronquist et al. (1984) because it represents a variety of that is geographically proximate and of similar floral characteristics. We also compare the genetic structure within and between varieties and , , and from the same region using ; i.e., microsatellite markers). These markers are useful in inferring genetic exchange among biological populations (Balloux and Lugon-Moulin 2002). It is our opinion that is a distinct taxon and should be elevated as a unique species. simple sequence repeat

Taxonomic treatment

R.L.Johnson & M.R.Stevens nom. nov. urn:lsid:ipni.org:names:77154920-1 R.L.Johnson & M.R.Stevens, nom. nov. ≡

Note.

Elevating to a species using the epithet was not possible because is already occupied (Pennell 1920).

Etymology.

is derived from the Latin “,” meaning brilliant or bright. The name was chosen to reflect the brilliant blue flower color, which is particularly striking in the field contrasting against the whitish or tan shale background typically associated with the species (Fig. 1A, B).
Figure 1.

A in its commonly found native whitish or tan shale habitat B An individual plant growing in its typical shale habitat.

A in its commonly found native whitish or tan shale habitat B An individual plant growing in its typical shale habitat.

Remarks.

(≡ ) grows almost exclusively on steep slopes composed of Green River shale or sometimes intermixed with sandstone fragments from overlying strata. It is locally common on road cuts. It occurs primarily within the Piceance drainage with populations occurring abundantly on exposed shale along Piceance Creek and the adjacent tributaries, including the Yellow Creek drainage in Rio Blanco Co., CO. (Fig. 2). It also occurs on shale slopes of the Roan Creek drainage in Garfield Co., CO. The gives this taxon a global rank of G3G4T2 and a state rank of S2 due to threats from gas and oil drilling throughout its habitat in the Piceance Basin (CNHP 2015). The ranking of G3G4 indicates a status between vulnerable and apparently secure. The rank of S2 specifies a state status of “imperiled – at high risk of extinction due to very restricted range, very few populations (often 20 or fewer), recent and widespread declines, or other factors” (Rondeau et al. 2011). Currently oil and gas drilling have not had a noticeable impact on its populations, but that could change if oil extraction begins to include the mining of oil shale.
Figure 2.

Map showing known distribution of in Rio Blanco and Garfield counties Colorado.

Colorado Natural Heritage Program Map showing known distribution of in Rio Blanco and Garfield counties Colorado.

Methods

A minimum of one herbarium voucher and four tissue samples were collected at each accession site (Table 1). These samples were collected either during July 2013 or June 2014. DNA extractions were from lyophilized or silica gel dried leaf tissue collected, in situ (Table 1), using the method detailed by Todd and Vodkin (1996). We used the same PCR parameters and ten of the fluorescently labeled primers (Table 2.) reported by Anderson et al. (2016) to run each DNA sample. Furthermore, we followed their protocol using Geneious 8.0.5 (Kearse et al. 2012) to score the output generated from PageBreakthe ABI 3730xl (Applied Biosystems, Carlsbad, CA, USA) at Brigham Young University’s DNA Sequencing Center (Provo, UT, USA) for the population genetic structure study (Fig. 3A, B).
Table 1.

Identification number (ID#) and geographic origin of the 32 accessions of included in this study. Vouchers for each accession were deposited in the Stanley L. Welsh Herbarium (BRY), Brigham Young University Provo, Utah, USA.

ID#TaxonNAccession locationLatitudeLongitudeVoucher no.
1 Penstemon scariosus var. garrettii8North of Little Mountain Peak, Sweetwater Co., WY 41°10'58.4"N 109°16'51.7"W BRY121014
2 Penstemon scariosus var. garrettii8Goslin Mountain, Daggett Co., UT 40°56'44.5"N 109°15'35.1"W BRY121028
3 Penstemon scariosus var. garrettii8North of Lone Tree, Uinta Co., WY 41°05'10.1"N 110°11'19.3"W BRY121027
4 Penstemon scariosus var. garrettii8Oilfield Reservoir area, Moffat Co., CO 40°39'14.9"N 109°00'24.7"W BRY119254
5 Penstemon scariosus var. garrettii8Price Canyon, Utah Co., UT 39°49'43.2"N 110°57'28.0"W BRY117079
6 Penstemon scariosus var. garrettii8South of Manila, Daggett, Co., UT 40°52'56.1"N 109°41 ‘33.5"W BRY117080
7 Penstemon scariosus var. garrettii8East of Fruitland, Duchesne Co., UT 40°12'15.7"N 110°47'57.1"W BRY133591
8 Penstemon scariosus var. garrettii8Midway, Wasatch Co., UT 40°32'03.2"N 111°28'57.7"W BRY117064
9 Penstemon scariosus var. garrettii8Northeast of Birdseye, Utah, Co., UT 39°55'38.0"N 111°32'37.0"W BRY124358
10 Penstemon scariosus var. garrettii8Argyle Canyon, Duchesne Co., UT 39°53'44.3"N 110°38'18.7"W BRY121021
11 Penstemon scariosus var. garrettii8Northwest of Whiterocks, Duchesne Co., UT 40°35'45.1"N 110°06'06.1"W BRY113493
12 Penstemon scariosus var. garrettii8Pine Mountain, Sweetwater Co., WY 41°03'42.5"N 108°57'45.0"W BRY121020
13 Penstemon scariosus var. garrettii4along HWY 191 North of Vernal, Uintah Co., UT 40°39'41.4"N 109°28'50.1"W BRY121013
14 Penstemon scariosus var. garrettii4along HWY 191 North of Vernal, Uintah Co., UT 40°42'41.5"N 109°29'38.0"W BRY121026
15 Penstemon scariosus var. garrettii8Sowers Canyon, Duchesne Co., UT 39°55'21.5"N 110°35'13.7"W BRY119259
16 Penstemon scariosus var. garrettii8Yellowstone Creek Drainage, Duchesne Co., UT 40°33'00.5"N 110°19'16.4"W BRY119253
17 Penstemon scariosus var. garrettii8Head of Warner Draw, Uintah Co., UT 40°44'52.9"N 109°13'41.6"W BRY119256
18 Penstemon scariosus var. garrettii8Red Cloud Loop, Uintah Co., UT 40°37'28.7"N 109°45'38.8"W BRY119261
19 Penstemon scariosus var. garrettii8Cat Peak, Utah Co., UT 39°53'56.8"N 110°57'34.0"W BRY109209
20 Penstemon scariosus var. garrettii8Willow Creek Guard Station area, Wasatch Co., UT 40°02'36.2"N 111°08'59.2"W BRY119260
21 Penstemon luculentus 8Piceance Canyon, Rio Blanco Co., CO 39°45'42.4"N 108°00'46.4"W BRY126454
22 Penstemon luculentus 8Piceance Canyon, Rio Blanco Co., CO 39°48'03.2"N 108°07'28.9"W BRY130985
23 Penstemon luculentus 8Piceance Canyon, Rio Blanco Co., CO 39°51'31.5"N 108°18'47.5"W BRY130983
24 Penstemon luculentus 8Piceance Canyon, Rio Blanco Co., CO 39°49'36.4"N 108°25'06.8"W BRY130982
25 Penstemon luculentus 8Piceance Canyon, Rio Blanco Co., CO 39°53'40.1"N 108°23'29.7"W BRY130981
26 Penstemon luculentus 8Piceance Canyon, Rio Blanco Co., CO 39°55'40.1"N 108°17'36.4"W BRY130980
27 Penstemon luculentus 8Piceance Canyon, Rio Blanco Co., CO 40°00'26.2"N 108°11'33.8"W BRY130979
28 Penstemon luculentus 8Piceance Canyon, Rio Blanco Co., CO 40°03'51.4"N 108°15'06.7"W BRY126453
29 Penstemon fremontii 8Near Meeker, Rio Blanco Co., CO 39°58'59.1"N 107°58'02.6"W BRY121022
30 Penstemon fremontii 8Piceance Canyon, Rio Blanco Co., CO 39°48'19.7"N 108°05'16.1"W BRY104606
31 Penstemon fremontii 8Piceance Canyon, Rio Blanco Co., CO 39°53'27.8"N 108°10'47.9"W BRY104599
32 Penstemon gibbensii 8Browns Park, Daggett Co., UT 40°50'49.1"N 109°02'59.3"W BRY28472

Note: N = number of tissue samples for each accession.

Table 2.

The ten SSR markers used in this study with associated variability of each marker relative to each taxon and across taxa.

TaxonAllele totals
Penstemon fremontii (N=24) Penstemon luculentus (N=64) Penstemon gibbensii (N=8) Penstemon scariosus var. garrettii (N=152)
Locus AAUSize range (bp)AAUSize range (bp)AAUSize range (bp)AAUSize range (bp)ACAT
Pen04 171216-2522418215-25430218-248202212-2521738
Pen23 110158-184140154-19060160-174238150-1951523
PS014 71211-236122214-23921219-221164209-2421220
PS016 130150-170201149-17361161-1683011136-1892134
PS048 1022520213-22530225-233106213-245410
PS077 50118-13961123-14531134-15092118-145711
PS079 147160-201143139-20131135-148143133-1751327
PS080 71212-228194213-23830218-2232310196-2421530
PS082 142164-219193192-21730205-212215168-2241929
PS084 50118-138128117-14320118-12871118-148615

Note: N = number of samples for each taxon, A = number of alleles observed in a given taxon, A U = number of alleles unique to a given taxon, A C = number of alleles shared between two or more taxa, A T = total number of alleles identified in this study for a given marker. †Locus was monomorphic.

Figure 3.

A Plot of the second order difference (ΔK) of K values (2–8) tested in STRUCTURE analysis identifying K = 3 as the optimal number of populations based on the accessions of , , , and tested. As the K values tested were from 2 to 8, the first difference in K values (ΔK) starts at K = 3 B Bar plot of inferred ancestry coefficients from STRUCTURE analysis results for with K = 3 using 248 samples from 32 accessions. Each number on the x axis represents the accessions ID# in Table 1.

A Plot of the second order difference (ΔK) of K values (2–8) tested in STRUCTURE analysis identifying K = 3 as the optimal number of populations based on the accessions of , , , and tested. As the K values tested were from 2 to 8, the first difference in K values (ΔK) starts at K = 3 B Bar plot of inferred ancestry coefficients from STRUCTURE analysis results for with K = 3 using 248 samples from 32 accessions. Each number on the x axis represents the accessions ID# in Table 1. Identification number (ID#) and geographic origin of the 32 accessions of included in this study. Vouchers for each accession were deposited in the Stanley L. Welsh Herbarium (BRY), Brigham Young University Provo, Utah, USA. Note: N = number of tissue samples for each accession. The ten SSR markers used in this study with associated variability of each marker relative to each taxon and across taxa. Note: N = number of samples for each taxon, A = number of alleles observed in a given taxon, A U = number of alleles unique to a given taxon, A C = number of alleles shared between two or more taxa, A T = total number of alleles identified in this study for a given marker. †Locus was monomorphic. To understand the population genetic structure of the accessions we sampled (Table 1), we used STRUCTURE 2.3 (Falush et al. 2003; Pritchard et al. 2000). The optimal number of genetically distinct clusters or groups (K) was determined by testing K values from 2 to 8 (1 was not tested as multiple clusters were expected) and plotting the second order difference (ΔK) between each K value (Fig. 3A) according to Evano et al. (2005). Analyses consisted of 10 iterations using a burnin period of 50,000 reps with 1,000,000 MCMC reps following burnin, admixture assumed, and sampling locations used as priors. Genetic diversity was partitioned using an implemented in GenAlEx 6.501 (Peakall and Smouse 2012) to compute pairwise FST and RST values between taxa (Table 3). The AMOVA was implemented using 999 permutations to calculate P-values for each FST or RST value. Both pair-wise matrices were then used in GenAlEx to conduct to visualize the differences between taxa (Fig. 4).
Table 3.

R ST and FST values (bottom diagonals) with accompanying P-values (top diagonals) for the pairwise comparisons of , , , and .

Pairwise population RST values
Taxon
Taxon Penstemon scariosus var. garrettii Penstemon luculentus Penstemon fremontii Penstemon gibbensii
Penstemon scariosus var. garrettii 0.0000.0010.0010.154
Penstemon luculentus 0.0600.0000.0010.031
Penstemon fremontii 0.2150.1270.0000.026
Penstemon gibbensii 0.0130.0760.1320.000
Pairwise population FST values
Penstemon scariosus var. garrettii 0.0000.0010.0010.001
Penstemon luculentus 0.1480.0000.0010.001
Penstemon fremontii 0.1240.1170.0000.001
Penstemon gibbensii 0.1700.2790.2620.000
Figure 4.

Plots of eigenvectors of the first two coordinates of principal coordinate analysis based on pairwise RST (top graph) or FST (bottom graph) values computed from genotypes of ten SSR markers on all taxa. Numbers in parentheses on each axis indicate the percent variation explained by each coordinate.

analysis of molecular variance principal coordinate analyses Plots of eigenvectors of the first two coordinates of principal coordinate analysis based on pairwise RST (top graph) or FST (bottom graph) values computed from genotypes of ten SSR markers on all taxa. Numbers in parentheses on each axis indicate the percent variation explained by each coordinate. R ST and FST values (bottom diagonals) with accompanying P-values (top diagonals) for the pairwise comparisons of , , , and . We made morphological comparisons, using field-collected plants and herbarium specimens obtained from the and . We took multiple measurements from 38 herbarium sheets of (≡ ) including the holotype and four paratypes, and 20 sheets each of sensu stricto and . Sheet selection was based on the specimen completeness (i.e. only entire plant(s), not partial plants) and the specimen’s pressed condition. Accurate floral measurements required corollas to have dried completely pressed without shrinkage. Sheets of and PageBreakPageBreakPageBreakPageBreakPageBreak were selected from the same or adjacent counties to Rio Blanco Co. in Utah and Colorado. Small measurements were taken from digital images with an Olympus SZX-16 dissecting microscope and processed using CellSens Standard 1.8 imaging platform (Olympus Corporation). Because of size similarities between measured plant characteristics, data were plotted as box percentile plots (Fig. 5) with the boxes delimiting the 75th and 25th percentiles and whiskers delimiting the 10th and 90th percentile. Outliers were shown as circles outside the whiskers. We did not have enough material to include .
Figure 5.

Box percentile plots showing variations among plant characteristics between , , and . Boxes delimit the 75th and 25th percentiles. The whiskers delimit the 10th and 90th percentile with outliers shown as circles outside the whiskers. The horizontal bar shows the 50th percentile and the horizontal triangle is the mean.

Stanley L. Welsh Herbarium Rocky Mountain Herbarium Box percentile plots showing variations among plant characteristics between , , and . Boxes delimit the 75th and 25th percentiles. The whiskers delimit the 10th and 90th percentile with outliers shown as circles outside the whiskers. The horizontal bar shows the 50th percentile and the horizontal triangle is the mean.

Results and discussion

We first analyzed the SSR data, between, and within specimens of , , , and (Table 1) using STRUCTURE. The results revealed that the best K value for these taxa was K = 3 and at that K value, distinctly differed in population genetic composition from any of the other morphologically similar species (Fig. 3A, B). All eight sites (64 specimens) of sampled across the plant’s range were similar in genetic composition. Varying levels of admixture were detected among sites of . Some sites genetically resemble and with inferred ancestry coefficients of all specimens of 0.9 or greater for the and group (blue in Fig. 3B). However, some sites were genetically distinct from all other species with inferred ancestry coefficients of all specimens of 0.9 or greater for their own group (red in Fig. 3B). Still other sites contained specimens that varied in their relatedness to either of these two groups. showed greater genetic similarity to and than with . This genetic similarity may be due to several factors, such as a possible common ancestor PageBreakPageBreakPageBreakor historical recombination between species. The elucidation of the factors involved in creating these genetic relationships is beyond the scope of this work and requires further research. To gain an improved understanding of the relationships between , , , and , we analyzed the SSR allele results using AMOVA (analysis of molecular variance). The analysis revealed that, based on FST, molecular variance was partitioned as 15% among taxa, 26% among individuals across taxa, and 59% within individuals of the same taxa, with an overall FST of 0.149 (P-value = 0.001). For the AMOVA analysis based on RST, molecular variance was partitioned as 11% among taxa, 78% among individuals, and 11% within individuals, with an RST value of 0.106 (P-value = 0.002). All pair-wise FST and RST values were statistically significant except for the RST value of and (Table 3). Analysis with both FST and RST indicated that has a unique genetic composition as compared to the other taxa which is illustrated in the graphs of the first two coordinates of the PCoA analyses (Fig. 4). These results support the validity of being recognized as a unique species distinct from sensu stricto. The FST analysis suggests that and are more closely related than either are to , while the RST analysis suggests that and are more similar. This discrepancy suggests that microsatellite mutations, which are modeled in the stepwise mutation model of RST (reviewed by Balloux and Lugon-Moulin 2002), contribute to genetic differentiation among the taxa examined. The determination of the mutation rates of each SSR locus is beyond the scope of this study, but should be considered in future analyses with these loci. Morphological comparisons revealed overlap in the size of many plant characters between , , and . Even though there was overlap in the range of measured characteristics, the means do reveal segregating features (Fig. 5). Overall, had more flower stems, a smaller caulescent leaf width, a smaller corolla, and a smaller anther cell length but was found to be intermediate in caulescent leaf length. While was similar to in sepal and anther hair length, these characters were much shorter than those found in .

Conclusion

While has similar morphologically characteristics to , and , there are distinctions that can reliably segregate these taxa. Distinguishing characteristics are more apparent when comparing these taxa in situ. The combination of hirtellous stems, glabrous leaves, non-glandular inflorescence, and long anther hairs can be used to segregate from other related taxa. Differences in other morphological characters are subtler, largely observed as differences in the means of their measurements, and are not reliably diagnostic. Molecular evidence suggests that is distinct from sensu stricto. It is also distinct from and . While is not sympatric with , it is well within the geographic range of . We observed and , growing naturally, within 100 m of each other with no apparent hybridization between them. Although we did not observe the two taxa growing interlaced, it is possible that they could co-occur in some areas of the Piceance Basin. Despite both and commonly occurring in the Piceance Basin, there was no morphological evidence that these taxa are exchanging alleles even though they are blooming simultaneously. The results of our study of both the SSR and morphometric data indicate that should be elevated to species status.

Taxonomic key

can be segregated from , , and using the following key. We don’t attempt to segregate the different varieties of in this key but recognize where they would segregate from . The taxonomic status of the varieties of is currently being investigated.
1Stems hirtellous, eglandular 2
Stems glabrous or with hairs glandular and only occurring distally or on inflorescence axis 3
2At least some leaf blade surfaces hirtellous, basal leaves spatulate to broadly oblanceolate, usually present at anthesis Penstemon fremontii
Leaf blades glabrous or with scabrous hairs restricted to leaf margins, basal leaves linear to lanceolate when present, usually absent at anthesis Penstemon luculentus
3Distal portion of stem and inflorescence axis with glandular hairs 4
Distal portion of stems and inflorescence axis glabrous Penstemon scariosus var. scariosus , Penstemon scariosus var. garrettii
4Sepals < 5mm, glandular hairs abundant Penstemon gibbensii
Sepals 5–6+ mm, glandular hairs sparse Penstemon scariosus var. albifluvis , Penstemon scariosus var. cyanomontanus , occasionally Penstemon scariosus var. garrettii
  8 in total

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6.  Identification and characterization of microsatellite markers in Penstemon scariosus (Plantaginaceae).

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Journal:  Appl Plant Sci       Date:  2016-03-03       Impact factor: 1.936

7.  GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research--an update.

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8.  Geneious Basic: an integrated and extendable desktop software platform for the organization and analysis of sequence data.

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  8 in total

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