Wei Shi1,2, Pei-Liang Liu1, Jun Wen3, Ying Feng1, Borong Pan2. 1. Key Laboratory of Biogeography and Bioresource in Arid Land, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, 830011, Urumqi, China Turpan Eremophytes Botanic Garden, Chinese Academy of Sciences Turpan China. 2. Turpan Eremophytes Botanic Garden, Chinese Academy of Sciences, 838008, Turpan, China Xinjiang Institute of Ecology and Geography Urumqi China. 3. Department of Botany, National Museum of Natural History, Smithsonian Institution, 20013-7012, Washington DC, USA National Museum of Natural History, Smithsonian Institution Washington United States of America.
Abstract
Calligonum jeminaicum Z. M. Mao, a species regarded as endemic to China, was thought to be nonexistent owing to a lack of scientific records. The similarity of C. jeminaicum to C. mongolicum Turcz. warranted an investigation into the taxonomical relationship between these species. In this study, a naturally occurring population of C. jeminaicum was discovered and the taxonomical relationships of this species with C. mongolicum were resolved. Morphological traits, including fruit and flower characteristics, as well as nuclear (ETS, ITS) and chloroplast (psbA-trnH, ycf6-psbM, rpl32-trnL, rbcL, and trnL-F) DNA sequence data were studied to confirm the taxonomic status of C. jeminaicum. The nrDNA data (ITS1-2 and ETS) from C. jeminaicum reflected variability from the whole C. mongolicum complex, showing distinctive haplotypes in the Calligonum sect. Medusa Sosk. & Alexandr. The cpDNA data supplied similar evidence, showing unique branching in Bayesian and ML tree analyses. The specific status of C. jeminaicum is confirmed based on both morphological and molecular analyses. Here we present a revised description of C. jeminaicum along with its DNA barcode and discuss suggestions for the conservation of this species. Based on current evidence, this species was evaluated as Critically Endangered (CR) according to the IUCN criteria. Wei Shi, Pei-Liang Liu, Jun Wen, Ying Feng, Borong Pan.
Calligonum jeminaicum Z. M. Mao, a species regarded as endemic to China, was thought to be nonexistent owing to a lack of scientific records. The similarity of C. jeminaicum to C. mongolicum Turcz. warranted an investigation into the taxonomical relationship between these species. In this study, a naturally occurring population of C. jeminaicum was discovered and the taxonomical relationships of this species with C. mongolicum were resolved. Morphological traits, including fruit and flower characteristics, as well as nuclear (ETS, ITS) and chloroplast (psbA-trnH, ycf6-psbM, rpl32-trnL, rbcL, and trnL-F) DNA sequence data were studied to confirm the taxonomic status of C. jeminaicum. The nrDNA data (ITS1-2 and ETS) from C. jeminaicum reflected variability from the whole C. mongolicum complex, showing distinctive haplotypes in the Calligonum sect. Medusa Sosk. & Alexandr. The cpDNA data supplied similar evidence, showing unique branching in Bayesian and ML tree analyses. The specific status of C. jeminaicum is confirmed based on both morphological and molecular analyses. Here we present a revised description of C. jeminaicum along with its DNA barcode and discuss suggestions for the conservation of this species. Based on current evidence, this species was evaluated as Critically Endangered (CR) according to the IUCN criteria. Wei Shi, Pei-Liang Liu, Jun Wen, Ying Feng, Borong Pan.
L. species are as ecologically important as some of the dominant shrubs and semi-shrubs in both active and inactive sand dunes in the African Sahara (Dhief et al. 2011, 2012) and the deserts of Central Asia (Losinskaya 1927; Bao and Grabovskaya-Borodina 2003; Amirabadi-zadeh et al. 2012). They are natural resources of tannins, food, medications, nectar, and antidotes (Liu et al. 2001; Badria et al. 2007; Askariyahromi et al. 2013; Essam et al. 2014). is considered to be the only genus within that contains C4 species (Pyankov et al. 2000) and displays rapid rates of evolution and diversification (Mabberly 1990). This accelerated differentiation process causes physiological (Su et al. 2005, 2013) and morphological (Mao and Pan 1986; Taia and Moussa 2011; Tao and Ren 2004) changes within these species that facilitate their tolerance of various extreme xeric conditions (Pyankov et al. 2000; Su and Zhao 2002). Thus, species have been used as the major sand conservation species in northwestern China (Wang et al. 2014; Xie et al. 2014).Z. M. Mao was first described by Mao (1984) to be a local endemic species which only proliferated in the countryside near Jeminay in the northwest of the Gurbantunggut Desert (Mao 1984, 1992). It has been difficult to differentiate from Turcz. owing to their similar morphological characteristics (Mao 1992; Bao and Grabovskaya-Borodina 2003). In addition, there has been no further record of this species to demonstrate its existence, leading to the question: does this endemic species actually exist? This question was resolved by specific field work in 2013 when a naturally occurring population with eight individuals of was found.The rapid and complex evolutionary processes of species have been reflected in their fruit morphology (Bao and Grabovskaya-Borodina 2003; Shi et al. 2009, 2016; Feng et al. 2010a; Soskov 2011). Fruit phenotype has been used as the key character to separate the whole genus into four sections, namely sect. (Fish. & C. A. Mey.) Borszcz. (Fig. 1A), sect. (Pall.) Borszcz. (Fig. 1B), sect. (Fig. 1C), and sect. Sosk. & Alexandr. (Fig. 1D). Members of sect. have membranous-saccate fruits, those of sect. have winged fruits, the fruits of sect. only show bristles without wings and membranes, and the fruits of sect. show both wings and bristles but no membranes (Bao and Grabovskaya-Borodina 2003; Fig. 1). The most widely distributed species in Central Asia, (sect. ), has shown two karyotypes with different chromosome numbers (2n = 18 and 2n = 27) within the same population (Shi and Pan 2015); this species has heterogeneous phenotypes and forms a complex with inter-crossed taxonomic relationships with other species in sect. (Soskov 2011; Shi et al. 2011, 2012; Shi and Pan 2015). has a large distribution area bordered by Xilinhot (Inner Mongolia) in the east, Kumul and Tutotu Basin (Xinjiang) in the west, Milan (Xinjiang) in the south, and Baitashan, Qitai, and Karamay (Xinjiang) in the north. The longitudinal range of is about 30° (Pavlov 1936; Drobov 1953; Baitenov and Pavlov 1960; Sergievskaya 1961; Kovalevskaya 1971; Borodina 1989). The distribution range of lies within that of (Mao 1992; Bao and Grabovskaya-Borodina 2003). The complex has been the subject of several taxonomic studies, particularly those focused on species delimitation and identification (Feng et al. 2010b; Gulnur et al. 2010; Li et al. 2014; Shi et al. 2011, 2009, 2016). Both fruit and flower characteristics are used for distinguishing from (Bao and Grabovskaya-Borodina 2003).
Figure 1.
Fruit characters in the members of the four sections in (A, sect. (Fisch. & C. A. Mey.) Borszcz.; B, sect. (Pall.) Borszcz.; C, sect. ; D, sect. Sosk. & Alexandr.).
Fruit characters in the members of the four sections in (A, sect. (Fisch. & C. A. Mey.) Borszcz.; B, sect. (Pall.) Borszcz.; C, sect. ; D, sect. Sosk. & Alexandr.).DNA analysis is regarded as one of the most important techniques to elucidate taxonomy (Kress et al. 2005; Hollingsworth et al. 2009). Previous studies have used DNA data to resolve several conflicting taxonomic relationships, such as the use of RAPD markers to clarify the relationships of species in China (Ren et al. 2002), and the use of three chloroplast DNA markers (rbcL, matK, and trnL-F) to distinguish the Chinese species of , although these conserved markers were not effective (Li et al. 2014). Additionally, cpDNA data have revealed the phylogeographic variation in different sections (Wen et al. 2015, 2016a, b), which was shown to be potentially valuable for DNA barcoding. ITS data have been used to effectively resolve taxonomical problems within the complex (Shi et al. 2016, 2017). However, combined sequencing data from cpDNA and nrDNA have not been employed for clarifying the status of puzzling species in . There is a need to further explore rapidly evolving DNA sequences that may be effective in resolving the taxonomic uncertainties in .In this study, nuclear ribosomal ITS and ETS sequences, together with five sets of cpDNA data (psbA-trnH, ycf6-psbM, rpl32-trnL, rbcL, and trnL-F) and the morphological characters, were used to confirm the existence of and clarify its relationship with . We also suggest and discuss strategies for conserving .
Methods
Sample selection and species identification
All samples were collected from shoots of individuals from Xinjiang, Qinghai, Inner Mongolia, Gansu, and Ningxia across the northwest of China during summer from 2006 to 2015 (Table 1).
Table 1.
Population information for Turcz., Z. M. Mao and related species, and GenBank accession numbers of DNA sequences used in this study.
Species
Pop. No. (#, &)1
Location
Latitude
Longitude
Elevation
Gen-Bank accession number
Voucher Number
ITS
ETS
psbA-trnH
trnL-trnF
ycf6-psbM
rpl32-trnL
rbcL
C.mongolicum
1(10, 4)
Erjinaqi, Inner Mongolia
41°27.2’N, 100°26.3’E
1002m
KU050846
KY316971
MN449309
MN449258
MN449070
MN449121
MN449172
C1101-C1110
KU050848
KY316973
MN449310
MN449259
MN449071
MN449122
MN449173
MN449311
MN449260
MN449072
MN449123
MN449174
MN449312
MN449261
MN449073
MN449124
MN449175
2 (10, 2)
Hulishan, Inner Mongolia
41°58.3’N, 100°35.4’E
899m
MN449220
MN449032
MN449313
MN449262
MN449074
MN449125
MN449176
C1111-C1120
MN449221
MN449033
MN449314
MN449263
MN449075
MN449126
MN449177
3 (10, 2)
Qingtongxia, Ningxia
38°01.0’N, 105°55.9’E
1134m
KU050847
KY316966
MN449315
MN449264
MN449076
MN449127
MN449178
C1121-C1130
KU050853
KY316970
MN449316
MN449265
MN449077
MN449128
MN449179
4 (10, 3)
Mazongshan, Gansu
41°48.7’N, 098°42.4’E
12364m
MN449222
MN449034
MN449317
MN449266
MN449078
MN449129
MN449180
C1145-C1154
MN449223
MN449035
MN449318
MN449267
MN449079
MN449130
MN449181
-
-
MN449319
MN449268
MN449080
MN449131
MN449182
5 (10, 2)
Liuyuan, Gansu
43°20.5’N, 091°23.6’E
1273m
KU050844
KY316963
MN449320
MN449269
-
MN449132
MN449183
C1166-C1175
KU050845
KY316975
MN449321
MN449270
MN449081
MN449133
MN449184
6 (10, 3)
Kelamayi, Xinjiang
47°19.6’N, 086°46.4’E
574m
MN449224
MN449036
MN449322
MN449271
MN449082
MN449134
MN449185
C2101-C2110
MN449225
MN449037
MN449323
MN449272
MN449083
MN449135
MN449186
-
MN449038
-
-
-
-
-
7 (10, 2)
Wuerhe, Xinjiang
46°08.2’N, 086°12.9’E
415m
KU050849
KY316969
MN449324
MN449273
MN449084
MN449136
MN449187
C2133-C2142
KU050850
KY316972
MN449325
MN449274
MN449085
MN449137
MN449188
8 (10, 4)
Xinxinxia, Xinjiang
42°45.2’N, 095°28.7’E
1744m
MN449226
MN449039
MN449326
MN449275
MN449086
MN449138
MN449189
C2165-C2174
MN449227
MN449040
MN449327
MN449276
MN449087
MN449139
MN449190
MN449228
MN449041
MN449328
MN449277
MN449088
MN449140
MN449191
MN449229
MN449042
MN449329
MN449278
MN449089
MN449141
MN449192
9 (10, 2)
Qijiaojing, Xinjiang
43°35.3’N, 091°25.4’E
1142m
KU050852
KY316960
MN449330
MN449279
MN449090
MN449142
MN449193
C2175-C2184
KU050841
MN449331
MN449280
MN449091
MN449143
MN449194
10 (10, 3)
Hami1, Xinjiang
43°23.7’N, 091°32.5’E
1038m
-
-
MN449290
MN449239
MN449051
MN449102
MN449153
C2011-C2020
KU050843
KY316962
MN449291
MN449240
MN449052
MN449103
MN449154
-
MN449292
MN449241
MN449053
MN449104
MN449155
C.mongolicum
11 (10, 2)
Hami2, Xinjiang
42°44.5’N, 093°55.5’E
812m
MN449205
MN449019
MN449293
MN449242
MN449054
MN449105
MN449156
C2178-C2186
MN449206
MN449020
MN449294
MN449243
MN449055
MN449106
MN449157
12 (10, 3)
Tashan, Xinjiang
45°01.7’N, 090°03.2’E
1018m
MN449207
MN449021
MN449295
MN449244
MN449056
MN449107
MN449158
C2274-C2283
MN449208
-
MN449296
MN449245
MN449057
MN449108
MN449159
MN449209
-
MN449297
MN449246
MN449058
MN449109
MN449160
13 (10, 2)
Chaidamu, Qinghai
39°09.7’N, 089°47.4’E
1680m
MN449210
MN449022
MN449298
MN449247
MN449059
MN449110
MN449161
C0121-C0130
-
-
MN449299
MN449248
MN449060
MN449111
MN449162
14 (10, 3)
Kumishi, Xinjiang
42°14.5’N, 088°13.4’E
919m
MN449211
MN449023
MN449300
MN449249
MN449061
MN449112
MN449163
C0152-C0161
MN449212
MN449024
MN449301
MN449250
MN449062
MN449113
MN449164
MN449213
MN449025
MN449302
MN449251
MN449063
MN449114
MN449165
15 (10, 1)
Heshuo, Xinjiang
42°16.9’N, 082°59.2’E
1105m
MN449214
MN449026
MN449303
MN449252
MN449064
MN449115
MN449166
C0122-C0131
16 (10, 3)
Mingfeng, Xinjiang
36°45.1’N, 082°59.3’E
1600m
MN449215
MN449027
MN449304
MN449253
MN449065
MN449116
MN449167
C0174-C0184
MN449216
MN449028
MN449305
MN449254
MN449066
MN449117
MN449168
MN449217
MN449029
MN449306
MN449255
MN449067
MN449118
MN449169
17 (10, 2)
Yutian, Xinjiang
36°45.2’N, 082°02.1’E
1648m
MN449218
MN449030
MN449307
MN449256
MN449068
MN449119
MN449170
C0147-C0158
MN449219
MN449031
MN449308
MN449257
MN449069
MN449120
MN449171
C.jeminaicum
18 (8, 3)
Jeminay, Xinjiang
47°19.3’N, 086°45.9’E
780m
MN449232
MN449048
MN449334
MN449283
MN449094
MN449146
MN449197
C3225-C3233
MN449233
MN449049
MN449335
MN449284
MN449095
MN449147
MN449198
MN449234
MN449050
-
-
-
-
-
C.calliphysa
19 (0, 1)
Mulei, Xinjiang
44°35.8’N, 090°39.7’E
574m
KX186585
KY316976
MN449338
MN449287
MN449099
MN449150
MN449202
C0112-C0121
20 (0, 1)
Qitai, Xinjiang
44°59.4’N, 089°57.5’E
540m
KX186585
KY316976
MN449339
MN449288
MN449100
MN449151
MN449203
C2301-C2310
C.ebinuricum
21 (0, 3)
Jinhe, Xinjiang
44°37.8’N, 083°11.1’E
370m
MN449236
MN449045
MN449336
-
MN449096
MN449148
MN449199
C1158-C1167
MN449237
MN449046
MN449337
MN449285
MN449097
MN449149
MN449200
MN449238
MN449047
-
MN449286
MN449098
-
MN449201
C.arborescens
22(0, 2)
Huocheng, Xinjiang
44°4.58’N, 080°29.2’E
639m
MN449230
MN449043
MN449332
MN449281
MN449092
MN449144
MN449195
C1168-C1177
MN449231
MN449044
MN449333
MN449282
MN449093
MN449145
MN449196
Pteroxygonumgiraldii
23(0,1)
Ningshan, Shaanxi
33°48.5’N, 108°39.7’E
1501m
MN449235
-
MN449340
MN449289
MN449101
MN449152
MN449204
P. L. Liu 431
1 #, the number of samples used for morphological analysis; &, the number of samples used for DNA analysis
Population information for Turcz., Z. M. Mao and related species, and GenBank accession numbers of DNA sequences used in this study.1 #, the number of samples used for morphological analysis; &, the number of samples used for DNA analysisThe classical identification key was used to differentiate these species mainly based on fruit characteristics and geographic locations, and the complex has been identified by its fruit characteristics (Mao 1992; Bao and Grabovskaya-Borodina 2003), primarily based on quantifiable differences in fruit and bristle size, such as fruit length (LF), fruit width (WF), bristle length (BS), bristle distance (BD), rib distance (RD), achene length (AL), achene width (AW), and fruit shape (FF) (Shi et al. 2012, 2016; Fig. 2A). The same fruit indices have been used to compare with . The flower traits for differentiating between the two species were selected based on the identification key in “Flora of China” (Bao and Grabovskaya-Borodina 2003), including the shape of perianth segments (PS, broadly elliptic or ovate Fig. 2B), pedicel length (1–2 cm in and 2–4 cm in : Fig. 2C), spreading or reflexed in fruit (PSF, Fig. 2D), and pedicel joint position (below or middle). The shape of perianth segments (Fig. 2B) and pedicel length (Fig. 2C) were used to make quantitative distinctions between and .
Figure 2.
Measurements of fruit characters (A) and flower traits (B form of perianth segments C pedicel), and the distinction of the form of perianth segments in and fruits (D).
Measurements of fruit characters (A) and flower traits (B form of perianth segments C pedicel), and the distinction of the form of perianth segments in and fruits (D).Some species with distinctive fruit characters were used as references in the DNA data analysis: Bunge, which was previously named (Fisch. & C. A. Mey.) Litv. (Bao and Grabovskaya-Borodina 2003), is the only species in sect. , was selected as a representative species; Litv. and Ivanova ex Y. D. Soskov (sect. ) were used for comparison because they are regarded as distinct from the complex. The number of individuals used for morphological analysis and DNA extraction in each population and the accession numbers of some ITS and plastid marker sequences obtained from GenBank are given in Table 1.
Molecular protocols
For all the newly collected samples, total genomic DNA was extracted from fresh or silica gel dried leaves according to the protocol of Doyle and Doyle (1990) or the CTAB method of Doyle and Doyle (1990). The ribosomal DNA regions are known to be potentially problematic when inferring phylogeny (Alvarez and Wendel 2003). In this study, we followed the guidelines for obtaining reliable ITS sequences in plants proposed by Feliner and Rossello (2007). The ITS regions were amplified and sequenced using the previously described primers “ITS5a” and “ITS4” (Stanford et al. 2000). The ETS primers were designed by Shi et al. (2016): the forward primer ETScalli1: 5'-GTTACTTACACTCCCCACAACCCC-3' and the reverse primer 18SIGS: 5'-GAGACAAGCATATGACTACTGGCAGGATCAACCAG-3'. Primers and polymerase chain reaction (PCR) protocols used for the amplification of chloroplast psbA-trnH, ycf6-psbM, rpl32-trnL, trnL-F, and rbcL (the first part of the entire rbcL gene) were described in previous studies (Demesure et al. 1995; Small et al. 1998; Shaw et al. 2005, 2007; Falchi et al. 2009).The specific Sanger sequencing studies of the complex and other species were divided into two parts, with most experiments completed at the Smithsonian Institution in 2014, and additional data, particularly those concerning , being supplied by the Key Laboratory of Biogeography and Bioresource in Arid Land (KLBB), Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences. At the Smithsonian Institution, PCR amplification of DNA was performed using 10 ng of genomic DNA, 4 pmol of each primer, 0.5 U Taq polymerase (Bioline, Randolph, MA, USA), and 2.5 mM MgCl2 in a volume of 25 µL using a PTC-225 Peltier thermal cycler. The PCR cycling parameters were as follows: a 95 °C initial hot start for 5 min, 32 cycles of 94 °C for 30 s, primer-specific annealing (ITS and ETS: 55 °C for 60 s; the five cpDNA primers: 53 °C for 40 s), and 72 °C for 60 s, and a final extension of 72 °C for 10 min. At the Smithsonian Institute, the PCR products were isolated and purified using ExoSAP-IT (US Biological, Swampscott, MA, USA) and sequenced in both directions using the PCR primers. Cycle sequencing was carried out using an ABI Prism Big Dye Terminator Cycle Sequencing Ready Reaction kit (Applied Biosystems, Foster City, CA, USA) with 5 ng of each primer, 1.5 µL of sequencing dilution buffer, and 1 µL of cycle sequencing mix in a 10 µL reaction volume. Cycle sequencing conditions comprised 30 cycles of 30 s denaturation (96 °C), 30 s annealing (50 °C), and 4 min elongation (60 °C). The sequencing products were separated on an ABI 3730xl DNA analyzer (Applied Biosystems, Foster City, CA, USA). At KLBB, the amplified products were purified using a PCR Product Purification Kit (Shanghai SBS, Biotech Ltd., China). Sequencing reactions were conducted with the forward and reverse PCR primers using the DYEnamic ET Terminator Cycle Sequencing Kit (Amersham Biosciences, Little Chalfont, Buckinghamshire, U.K.) with an ABI PRISM 3730 automatic DNA sequencer (Shanghai Sangon Biological Engineering Technology & Services Co., Ltd., Shanghai, China). Both strands of the DNA were sequenced with overlapping regions to ensure that each base was unambiguous. Electropherograms were assembled and consensus sequences were generated with Sequencher 4.5 (Gene Codes, Ann Arbor, MI, USA).
Phylogenetic and network analyses
Multiple sequence alignments were performed using MUSCLE in the Geneious v.10.0.6 platform (Kearse et al. 2012) using the default settings and manual adjustments. The phylogenetic tree reconstruction of the nrITS and ETS sequence alignment included 44 accessions: 35 newly generated nrITS sequences, 24 new ETS sequences, and nine ITS and 20 ETS sequences from GenBank (Table 1).Phylogenetic analyses were conducted on both the nuclear and combined plastid datasets. The best-fit nucleotide substitution models for the ITS1, 5.8S, ITS2, ETS, psbA-trnH, ycf6-psbM, rpl32-trnL, trnL-F, and rbcL regions were determined separately using jModelTest (Darriba et al. 2012) and the Akaike information criterion (AIC) were used to rank the best-fit model for the Bayesian analyses.Phylogenetic relationships were inferred using Bayesian inference (BI) as implemented in MrBayes v.3.2.5 (Ronquist and Huelsenbeck 2003) and the maximum likelihood (ML) analyses were accomplished with RAxML v.8.2 (Stamatakis 2014). Partitioned analyses of both the nuclear and plastid datasets were implemented by applying the previously determined models to each data partition (Brown and Lemmon 2007). The nuclear ITS dataset was partitioned into ITS1, 5.8S, and ITS2 partitions. For the concatenated plastid dataset, separate partitions were used for the psbA-trnH, ycf6-psbM, rpl32-trnL, trnL-F, and rbcL regions. 51 samples in were selected as the ingroup and Dammer & Diels was selected as the outgroup. Two independent BI analyses with one cold and three incrementally heated Markov chain Monte Carlo (MCMC) chains were run for 10,000,000 generations, with trees sampled every 1,000 generations. All Bayesian analyses produced split frequencies of less than 0.01, indicating convergence between the paired runs. The first 2,500 trees were discarded as burn-in, and the remaining trees were used to construct a 50% majority-rule consensus tree and posterior probabilities (PP). In the ML analyses, rapid bootstrap analysis was performed with a random seed, 1,000 alternative runs, and the same partition scheme as was used in the Bayesian analysis. The model parameters for each partition of the dataset were optimized by RAxML with the GTRCAT command. Trees were visualized in FigTree v1.4.3 (http://tree.bio.ed.ac.uk/software/figtree/). The ML bootstrap support values (BS) were labeled on the corresponding branches of the BI trees.A network analysis was carried out with SplitsTree 4.13.1 (Huson and Bryant 2006) using the uncorrected p-distances between the complex and species from the Bayesian analyses. Branch support was estimated using bootstrapping with 1,000 replicates (Felsenstein 1985).
Results
Phenotyping
The descriptions of the shape of perianth segments in fruit (PSF) and the pedicel joint position (below or middle) used to distinguish between the two species were qualitatively compared. The shape of perianth segments in fruit differs between the two species: spreading in the fruit of , but reflexed in that of (Fig. 2D).The morphological differences between and focus primarily on their fruit and flower characteristics. Compared with the ambiguous characters in , these taxonomical characters of were clearer and more stable. Quantitative comparisons of the fruit traits (Fig. 2A), the perianth segment shape (broadly elliptic or ovate, identified by the value of the length of the perianth segments/width of the perianth segments: Fig. 2B), and the pedicel length (Fig. 2C) were made between the two species (Fig. 3). Although some fruit characters appeared simultaneously in the two species and led to difficulty in distinguishing from , the shape of perianth segments in fruit could be regarded as an effective character for their identification (Fig. 2D).
Figure 3.
Quantitative comparisons of fruit and flower characters in and .
The quantifiable morphological characters in both fruits and flowers were compared between the two species. The fruit of (0.106–1.880 cm; 1.134 ± 0.284 cm) was significantly (P = 0.026) longer than that of (0.415–0.649 cm; 0.432 ± 0.44 mm). Additionally, the fruit width (FW) for (0.226–1.742 cm; 0.923 ± 0.347 cm) was larger than that of (0.348–0.508 cm; 0.428 ± 0.113 cm; P = 0.017). The bristle length of (0.372 ± 0.020 cm) was significantly shorter (P = 0.06) than that of (0.312 ± 0.121 cm), and the bristle distance (0.077 ± 0.006 cm) and rib distance (0.087 ± 0.004 cm) of were significantly smaller than those of (bristle distance 0.131 ± 0.032 cm, P = 0.01; rib distance 0.105 ± 0.032 cm, P = 0.02). Significant differences were also detected in achene length (0.823 ± 0.146 cm in and 0.195 ± 0.105 cm in , P = 0.00) and achene width (0.359 ± 0.089 cm in and 0.333 ± 0.004 cm in , P = 0.00) (Fig. 3), although the difference in achene width was small. The fruit shape, as the key character, was substantially different between the two species (P = 0.000), with the subglobose fruit of (1.048 ± 0.467 cm/cm) being much more rounded than the broadly ellipsoid fruit of (1.357 ± 0.442 cm/cm). Thus, the fruit characteristics could be used to distinguish between the two species (Fig. 3). Both the pedicel length (P = 0.00) and the form of perianth segments (P = 0.01) of the two species showed significant differences. The pedicel length of (0.313 ± 0.004 cm) was much longer than that of (0.219 ± 0.03 cm). The shape of perianth segments for (1.222 ± 0.167 cm/cm) was broader than that of (2.544 ± 1.799 cm/cm) (Fig. 3).Quantitative comparisons of fruit and flower characters in and .
Molecular phylogeny
The aligned matrix of 44 accessions of the combined nrITS and ETS sequences comprised 807 bp that did not include any abnormal SNPs or unreasonable sequences according to the Phi test (P = 0.0321). The best-fit substitution models were GTR+G for ETS (nucleotide frequencies A: 0.200803 C: 0.329510 G: 0.295074 T: 0.174613) and GTR+I+G for nrITS (nucleotide frequencies A: 0.163227 C: 0.337699 G: 0.352720 T: 0.146353) based on the jModelTest (Darriba et al. 2012) results. The GTR+G model was selected for the ML analyses of the aligned matrix of nrDNA.The two phylogenetic tree reconstruction methods, BI and ML, produced consistent topologies. However, the nuclear and the chloroplast data were analyzed separately to reconstruct the phylogenetic relationships among , the complex, and other species in because obviously different topologies based on the nuclear (Fig. 4, 5) and the chloroplast (Fig. 6) data were found. In the nrDNA data, no single nucleotide polymorphism (SNP) was identified among the samples, but the species from the complex showed heterogeneity and did not form a single clade (Fig. 4). The populations of the complex, , , and , were distributed within the same broad geographic region. The three individuals of , which had specific fruit characteristics that were different from the complex, formed an independent clade (Fig. 4). Interestingly, the p-distance among the taxa for the ITS and ETS regions reached 11.364% between species and . The p-distance was as high as 22.54% between and the complex group, which reflects their interspecific differentiation. Consistent results were obtained in the ML analysis in the same phylogenetic tree for nrDNA, conforming the complex and independently (Fig. 4, PP = 1, BS = 98%).
Figure 4.
Bayesian inference tree of the concatenated nuclear ITS and ETS sequence data showing and its congeners. Bayesian posterior probabilities and maximum likelihood bootstrap support values are given above the branches.
Figure 5.
Neighbor-net analyses based on uncorrected p-distances of the nuclear ITS and ETS sequence data. Numbers indicate bootstrap values over 1,000 replicates.
Figure 6.
Bayesian inference tree of the concatenated plastid DNA sequence data (psbA-trnH, ycf6-psbM, rpl32-trnL, rbcL, and trnL-F) showing and its congeners. Bayesian posterior probabilities and maximum likelihood bootstrap support values are given above the branches.
Bayesian inference tree of the concatenated nuclear ITS and ETS sequence data showing and its congeners. Bayesian posterior probabilities and maximum likelihood bootstrap support values are given above the branches.Neighbor-net analyses based on uncorrected p-distances of the nuclear ITS and ETS sequence data. Numbers indicate bootstrap values over 1,000 replicates.The neighbor-net constructed for the complex and using the ITS and ETS sequences (Fig. 5) also did not support a single clade for the complex. The three samples formed a separate branch from other groups, which is distant from the entire complex, with a bootstrap support value of 94.9%.Independent phylogenetic trees were reconstructed based on the concatenated plastid dataset, including the psbA-trnH, ycf6-psbM, rpl32-trnL, trnL-F, and rbcL regions, using the BI and ML methods. The tree topologies of the BI and ML trees were identical, and only the BI tree is shown (Fig. 6). A new haplotype (X), which occurred in all the individuals, was identified in the combined cpDNA dataset. The distribution of the complex within the cpDNA tree could be separated into five to six regions that appear to reflect their geographical distribution. The first branch included sequences from six populations of the complex (3, 4, 5, 9, 10, and 11) that were distributed in the west and northeastern regions of the Tengger Desert, where and occurred sympatrically with these six populations. The second independent branch included sequences from four populations (14, 15, 16 and 17) from the Taklimakan Desert. The third independent branch included sequences from three populations (6, 7, and 8) from the Gurbantunggut Desert in the east of Xinjiang. Populations 12 and 13 comprised complex samples from the Qaidam Desert that were distributed sympatrically with . Population 1 was the most phylogenetically distant from other populations, perhaps owing to its geographic isolation in the extreme north of Inner Mongolia. However, the new haplotype X of was separated from the above-mentioned branches of the complex with strong support (Fig. 6, PP = 1, BS = 100%). Meanwhile, the other reference species of (, , and ) did not form their own separate branches, but were interspersed within branches of the complex (Fig. 6).Bayesian inference tree of the concatenated plastid DNA sequence data (psbA-trnH, ycf6-psbM, rpl32-trnL, rbcL, and trnL-F) showing and its congeners. Bayesian posterior probabilities and maximum likelihood bootstrap support values are given above the branches.
Discussion
600 species names are known in , but only 90 of these were recognized (Pavlov 1936; Baitenov and Pavlov 1960; Sergievskaya 1961; Drobov 1953; Kovalevskaya 1971; Liu and Yong 1985). Most of the new names occurring in were subsequently ignored or merged into existing names (Pavlov 1936; Kovalevskaya 1971; Bao and Grabovskaya-Borodina 2003). Different taxonomists have controversial opinions on species delimitations in (Soskov 2011; Zhang 2007; Sabirhazi et al. 2010; Abdurahman et al. 2012; Shi et al. 2016, 2017). For example, was treated as an independent species (Soskov 2011) by merging three species, , , and . The taxonomical relationships of , , and have been clarified, with and being merged into (Shi et al. 2009). Additionally, was treated as a synonym of (Shi et al. 2016). The relationship between and was analyzed in the present study.The morphological identification system, which has been used in the complex (Shi et al. 2009), was employed here for phenotypic discrimination. Our results demonstrated that the fruit characters, which were confusing among members of the complex, in addition to flower characteristics, can be used to distinguish from the complex by statistical analysis. could be identified as a good species based on its morphology (Figs 2, 3).DNA data are used as key evidence for taxonomical conclusions, and can also reveal the systematics among species or genera (Alvarez and Wendel 2003; Feliner and Rossello 2007). Molecular analyses of both nrDNA ITS and cpDNA sequence data (trnL-F, matK, atpB-rbcL, psbA-trnH, psbK-psbL, and rbcL) fail to fully elucidate the taxonomical relationships within (Tavakkoli et al. 2010; Sanchez et al. 2011; Sun and Zhang 2012; Li et al. 2014; Gouja et al. 2014), but some minor and reasonable taxonomical discrepancies among the controversial species group were resolved by combining the morphological and DNA data, for example, within the complex (Shi et al. 2009, 2016, 2017) and between and (Abdurahman et al. 2012). The nrDNA tree, which combined nrITS and ETS data, suggested a lack of phylogenetic structure within the complex, but it can be used to distinguish uncontested species in sect. , such as , , and (Shi et al. 2016). In the present study, formed a separate branch based on the nrITS and ETS data (Figs 4, 5), which is not consistent with the past or present occurrence of hybridization or interbreeding of with the . Meanwhile, the cpDNA data were employed to confirm the taxonomic relationship of the complex with . A new cpDNA haplotype (X) was identified in , and its separation from other haplotypes of the complex and other species in sect. was well supported (Fig. 6). A high level of genetic diversity was also found in previous studies based on polymorphic cpDNA markers in the sect. (Wen et al. 2016b), especially in the complex. The cpDNA information also revealed that the distributional ranges of some species in the complex were geographically close or adjacent to each other (Figs 6). The distribution of genetic variation of the complex in the Gurbantunggut Desert was consistent with its geographical signal, and the network analysis illustrated that genetic relationships in formed a mesh pattern (Fig. 5). Compared to , has a very narrow distribution with only one known population in the northwest of the Gurbantunggut Desert, which is also within the main distribution region of (Mao and Pan 1986). It has been proposed that may contain only a small fraction of the total genetic variation present in its progenitor species in ancient Middle Asia (Sergievskaya 1961; Badria et al. 2007). This may have expanded the range of these xerophytes and allowed them to spread to other suitable habitats in the Jeminay area.As an accepted name, has been confirmed as an endemic species which is found only within a relict area in the northwest of the Gurbantunggut Desert. has been on the brink of extinction over the past 40 years owing to the habitat of the only population being near the roads and the small number of individuals. Although the plants observed appeared to be healthy, the conservation of this plant species with an extremely small population (PSESP) (Wade et al. 2016) should receive appropriate attention in the future. As a result of a new policy framework, several national- and regional-level conservation strategies for China’s PSESPs are being implemented (Yang et al. 2015). For many of these species (Ren et al. 2012; Wang et al. 2017), the extinction of a population is irreversible; therefore, recognizing the immediate importance of these risk factors and understanding their interactions are crucial for developing future conservation plans (Volis 2016). The in situ conservation of the genetic diversity of for the long-term survival of this species requires a new management strategy that considers its reproductive biology and the future potential of hybridization/interbreeding. In the ex situ conservation of , special efforts are needed to ensure the isolation of genetic resources.Since is accepted as an independent species based on our new evidence; the threatened status of this species can be evaluated according to the International Union for Conservation of Nature (IUCN) Red List categories and criteria (IUCN 2012). This species was first collected by Zumei Mao together with Borong Pan from a single site near Jeminay, Xinjiang, China in the year 1979. It was described as a new species to science in 1984 (Mao 1984). Pan searched for this species in the original site and the surrounding area in 2008 but failed to find it. The first author (Wei Shi) searched for it again in 2013 in the Jeminay area and only a population with 8 mature (fruiting) individuals was found. No seeding or young individual was found in this population. No other collection or report of this species is available. Thus we evaluated as Critically Endangered (CR) according to criteria D “Population size estimated to number fewer than 50 mature individuals” (IUCN 2012).
Authors: Joey Shaw; Edgar B Lickey; John T Beck; Susan B Farmer; Wusheng Liu; Jermey Miller; Kunsiri C Siripun; Charles T Winder; Edward E Schilling; Randall L Small Journal: Am J Bot Date: 2005-01 Impact factor: 3.844