Morphological evidence for introgressive hybridization
between Feirana quadranus and Feirana taihangnica in
Tsinling Mountains, China
Yang Song, Xin Sui, Yuhong Bian, Junfang Zhang, Junqiang Zheng, Pipeng Li
Background. Feirana quadranus and Feirana taihangnica, two species of frogs inhabiting in waterbodies
in the Tsinling Mountains, China, are believed to be sister species that diverged 46,000 years ago. In
their sympatric area, morphological variations found between the two species imply that the two species
had inter-bred. Additionally, F. taihangnica’s polyandrous breeding behavior, without amplexus, would
not hinder the potential hybridization.
Methods. To verify the hybridization, 117 specimens of F. quadranus and F. taihangnica were collected
from eight sampling sites in their sympatric area, and 110 of the specimens were classified
morphologically into VV, vw&wv, and ww, representing the putative parental and suspected hybrid types.
Their maternal bloodlines were identified using a phylogenetic tree based on a region of the
mitochondrial 16S rRNA gene. In total, 34 morphometric indices were selected to analyze the
morphological variation between 16S-types or among morphotypes. A principal component analysis
(PCA) and linear discriminant analysis (LDA) were conducted on total or partial indices for females,
males, and total specimens, as well as simulated populations with falsified morphotypes. The most
important indices for differentiation among morphotypes were revealed with the assistance of heatmaps.
Results. In the mitochondrial DNA tree, most of the VV were in the same clade as the reference F.
quadranus, labeled as Q, while most of the ww and vw&wv were grouped with the reference F.
taihangnica, labeled as T. According to the PCA, there was a clear differentiation between VV and ww,
while vw&wv specimens were in the middle area close to ww. According to the LDA, VV, vw&wv, and ww
were clustered into three separate groups. An ambiguous differentiation between Q and T was shown
both in mtDNA tree and in multivariate analyses. Seven of the specimens with conflicting classifications
blurred the morphological boundary between Q and T. In both the PCA and LDA, indices that were based
on the extent of bumps and skin coloration discriminated VV, vw&wv, and ww better than ratio indices
that were derived from measurements.
Discussion. The distribution of VV, vw&wv, and ww in multivariate spaces, especially vw&wv being
scattered between VV and ww, demonstrated an introgressive hybridization pattern. The extents of
bumps in the shape of an inverted "V" between the shoulder blades, spot pattern on the back, and large
bumps above the anal region were the most important characteristics for differentiating between three
morphotypes or between F. quadranus and F. taihangnica.
PeerJ Preprints | https://doi.org/10.7287/peerj.preprints.2058v1 | CC-BY 4.0 Open Access | rec: 20 May 2016, publ: 20 May 2016
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Morphological evidence for introgressive hybridization between Feirana quadranus and
Feirana taihangnica in Tsinling Mountains, China
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Yang Song1*; Xin Sui1; Yuhong Bian2; Junfang Zhang3; Junqiang Zheng1; Pipeng Li4*
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affiliation
1. Institute of Applied Ecology (IAE), Chinese Academy of Sciences (CAS), 72 Wenhua Road, Shenyang City,
110016, China
2 Hua'erping Village, Zhouzhi County, Xi'an City, 710409, China
3 Dongfeng Street, Weinan City, 714000, China
4 Shenyang Normal University (SNU), 253 Huanghe North-street, Shenyang City, 110034, China
*corresponding author: er_ao@sina.com (Yang Song); lipipeng@hotmail.com (Pipeng Li).
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Abstract
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Background. Feirana quadranus and Feirana taihangnica, two species of frogs inhabiting
in waterbodies in the Tsinling Mountains, China, are believed to be sister species that diverged
46,000 years ago. In their sympatric area, morphological variations found between the two
species imply that the two species had inter-bred. Additionally, F. taihangnica’s polyandrous
breeding behavior, without amplexus, would not hinder the potential hybridization.
Methods. To verify the hybridization, 117 specimens of F. quadranus and F. taihangnica
were collected from eight sampling sites in their sympatric area, and 110 of the specimens were
classified morphologically into VV, vw&wv, and ww, representing the putative parental and
suspected hybrid types. Their maternal bloodlines were identified using a phylogenetic tree based
on a region of the mitochondrial 16S rRNA gene.
In total, 34 morphometric indices were selected to analyze the morphological variation
between 16S-types or among morphotypes. A principal component analysis (PCA) and linear
discriminant analysis (LDA) were conducted on total or partial indices for females, males, and
total specimens, as well as simulated populations with falsified morphotypes. The most important
indices for differentiation among morphotypes were revealed with the assistance of heat-maps.
Results. In the mitochondrial DNA tree, most of the VV were in the same clade as the
reference F. quadranus, labeled as Q, while most of the ww and vw&wv were grouped with the
reference F. taihangnica, labeled as T. According to the PCA, there was a clear differentiation
between VV and ww, while vw&wv specimens were in the middle area close to ww. According
to the LDA, VV, vw&wv, and ww were clustered into three separate groups. An ambiguous
differentiation between Q and T was shown both in mtDNA tree and in multivariate analyses.
Seven of the specimens with conflicting classifications blurred the morphological boundary
between Q and T. In both the PCA and LDA, indices that were based on the extent of bumps and
skin coloration discriminated VV, vw&wv, and ww better than ratio indices that were derived
from measurements.
Discussion. The distribution of VV, vw&wv, and ww in multivariate spaces, especially
vw&wv being scattered between VV and ww, demonstrated an introgressive hybridization
pattern. The extents of bumps in the shape of an inverted "V" between the shoulder blades, spot
pattern on the back, and large bumps above the anal region were the most important
characteristics for differentiating between three morphotypes or between F. quadranus and F.
taihangnica.
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1 Introduction
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1.1 Discovery and classification history of the genus Feirana
Genus Feirana (Dubois, 1992) belonging to Tribe Paini Dubois, 1992, of subfamily
Dicroglossinae, Anderson, 1871, of family Ranidae, Rafinesque-Schmaltz, 1814 (Amphibia,
Anura), contains Feirana (Rana) quadranus (Liu, Hu & Yang, 1960), Feirana taihangnica (Chen
& Jiang, 2002) and Feirana kangxianensis (Yang et al., 2011) to date. They are widely
distributed in the areas of the southern Taihang Mountains, the Zhongtiao, Funiu, and Tsinling
Mountains, the eastern Minshan Mountains, the Longmen, Micang, Daba, and Wushan
Mountains and the northern Wuling Mountains (Fei, 1999; Fei et al., 2005; Fei, Ye & Jiang,
2010; Wang, 2007; Wang, et al., 2007) (Fig. 1).
F. (Rana) quadranus, in Chinese named "Longgang”, meaning “swollen vent”, was firstly
described by Liu, Hu & Yang (1960), who found a group of frogs with bubble-like vesicles
around the anus, living in the streams of the Wushan Mountains, and named the species as Rana
quadranus. Later on, it was determined that only adult males have swollen vents. The
nomenclature Feirana was proposed by Dubois (1992) originally as a subgenus name, and this
taxon was upgraded to generic rank later as the number of group members increased (Fei et al.,
2005).
After Liu’s report (Liu, Hu & Yang, 1960), similar frogs were discovered in the Tsinling
(Fang, 1983; Li, 1992) and Taihang (Wu & Qu, 1984) Mountains, and they were considered
"swollen vent” frogs despite having small morphological differences. Fang (1983) and Li (1992)
reported that 5–10% of the “swollen vent” frogs in the Tsingling Mountains had cream middorsal lines. Li (1992) pointed out that individuals in the Tsingling Mountains were apparently
different from those reported by Liu, Hu & Yang (1960) in the Wushan Mountains. For example,
they were speckled in black and brown-yellow, forming a water-wave-like coloration pattern,
instead of consistent brown, and adult male vents were not swollen. The diversity of “swollen
vent” frogs was also revealed by chromosomal studies among populations in the Minshan ( Yang,
Zhao & Gao, 1986), Wushan ( Li, Fei & Ye, 1994), Taihang (Li & Hu, 1996; Chen et al., 2006)
and Funiu (Chen et al., 2006) Mountains.
Chen & Jiang (2002; 2004) compared the morphometric parameters of specimens from the
Taihang Mountains with those from the Wushan Mountains and were convinced that the
differences between the two groups had reached the species level. Accordingly, they established a
new species, F. taihangnica Chen & Jiang, 2002, representing the group from the Taihang
Mountains. Further molecular taxonomy using mitochondrial 12S and 16S rRNA genes confirmed
the morphological classification (Jiang et al, 2005).
Wang et al. (2007) gathered the morphometric traits of samples on a large scale, which
revealed the complexity of geographic populations of the genus Feirana. Frogs from the
Zhongtiao and Taihang Mountains were allocated to F. taihangnica. To determine the
evolutionary relationship between F. quadranus and F. taihangnica, Wang et al. (2009; 2012)
studied mitochondrial 12S, 16S and ND2 genes. He believed these were sister species that
diverged 46,000 years ago and that the Tsinling Mountains was a large contact zone for the two
species.
Yang et al. (2011) focused on a group of frogs in Kang County, Gansu Province, which had
originally been identified as F. taihangnica but Wang et al. (2009) found that they significantly
diverged from other populations of F. taihangnica. An analysis of morphometric traits and the
mitochondrial ND2 gene from more specimens confirmed that this group should be assigned to a
single species, named Feirana kangxianensis.
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1.2 Living and breeding habits
According to our field observations and to relevant references (Liu, Hu & Yang, 1960; Fei,
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1999; Huang, Gong & Zhang, 2011; Yang, 2011; Zhang et al., 2012), the living habits of frogs
among the genus Feirana are indistinguishable. They inhibat, and are basically limited to,
waterbodies, such as creeks, brooks, streams, and rivers in mountainous areas at altitudes of 500
m to 2,500 m. They prey, hibernate, and breed mostly in water, and are hardly seen on the land
unless there is enough rain or moisture.
Underwater hibernation varies with the local climate, but takes place in October and
November, and resumes in March and April, with breeding occuring from April to early June.
Spawns are often found under large stones in sun-exposed, slow-flowing and shallow stream
sections (Zhang et al., 2012). Consistent with ecological observations, physiological studies on
the ovaries (Lei, 2003) and testes (Li, 2003) of specimens (F. quadranus or F. taihangnica)1,
collected monthly from Zhouzhi County in the Tsinling Mountains, indicated that ovulation and
ejaculation must occur between April and June.
Their reproductive activities were very secretive, progressing under large stones in the
water, without conspicuous courtship calls. Even local villagers had never observed their
breeding. After several years of seeking and following oviposition sites, Chen et al. (2011)
reported on the breeding biology of F. taihangnica, including the time of the breeding season,
spawning site preperences, the size of egg clutches and other data on reproductive ecology.
Zhang et al. (2012) observed unique breeding behaviors in this species. Without amplexus, a
female frog deposits sticky eggs beneath a rock under water, and multiple males release semen on
to the spawn. Additionally, Wang et al. (2014) identified three spawns of F. kangxianensis using
microsatellite markers, one of which was oviposited by two females and fertilized by three males.
Owing to the lack of courtship calls and amplexus, the unique reproductive behaviors avoid
sexual selection. The asynchrony between oviposition and fertilization makes eggs available for
any possible sperms. These factors could facilitate the potential hybridization between two
cohabiting species.
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1.3 Cohabitation in overlapping ranges and morphological variation between F. quadranus
and F. taihangnica
F. quadranus ranges from the southern Taihang Mountains, throughout the Zhongtiao
Mountains and Funiu Mountains, and into the Tsinling Mountains; F. taihangnica ranges from the
northern Wuling and Wushan Mountains, throughout the Daba Mountains and Micang
Mountains, into the Tsinling Mountains, with the western range reaching the eastern Minshan and
Longmen Mountains (Fei et al., 2005; Fei, Ye & Jiang, 2010; Wang, 2007; Wang, et al., 2007)
(Fig.1).
According to Yang (2011), their ranges overlapped in three areas of the Tsingling
Mountains, one area is in Zhouzhi County and another is in Ningshan County.
We noticed the cohabitation of the two species in Hua’erping, Zhouzhi County, and in
Xunyangba, Huoditang, and Huodigou, Ningshan County. They could be found underwater in the
daytime in the same brooks or pools and could be observed sitting about stones and waiting for
their prey at night. Morphological variations were observed among the cohabitants (Song, 2010),
with some resembling F. quadranus or F. taihangnica, and some having traits of both species
(Fig. 2).
The purpose of our study was to find evidence through a morphological analysis to verify
the suspected hybridization between F. quadranus and F. taihangnica in their shared habitat.
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1 It should be noted that the two articles of Lei (2003) and Li (2003) used the dated nomen, Rana, instead of Feirana, which was
confusing. It is possible that they did not know the new taxonomy when sampling took place, which was between April and
November, 2002, the same year that Chen & Jiang (2002) published F. taihangnica as a new species. Both species (F. quadranus
and F. taihangnica) exist in Zhouzhi County, so their samples may contain F. quadranus, F. taihangnica, or both.
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2.1 Sampling
The Feirana specimens used in this study were collected during fieldwork in the early
summer (May to July) between 2009 and 2011. They were mostly captured by electrofishing in
the daytime, and by bare hands at night. Artificial hybridization in the lab failed because the frogs
failed to survive long enough. Hence, we had 117 specimens.
All of the eight sampling sites were located in the contact zone between F. quadranus and F.
taihangnica (Fig. 1, Table1). Five sampling sites (XYB, PHL, HDT, HDG, and LJZ) in Ningshan
County were chosen along the National Highway 210, as well as along the Xunhe River flowing
throughout the Tsinling Mountains; two sites (HRP and LXC) in Zhouzhi County, with secluded
environments, were at the south foot of Mount Taibai, the highest peak of the Tsinling Mountains;
and the site FP in Foping County was a convenient site.
After death, specimens were given voucher numbers, then dehydrated through an ethanol
series (50%, 70%, 90%, and 95%), and finally, preserved in 95% ethanol. A piece of muscle was
torn from the thigh and preserved separately. Preserved specimens were photographed dorsally
(Photographs
of
the
117
specimens
are
available
at
URL:
https://figshare.com/s/a76953fe8b682d7d1220). Only a small number of frogs with distinct
morphological traits can be traced back to their live photos. Morphometric characteristics and
indices were measured or evaluated (see 2.2, and the sexes were identified by anatomy.
Samples were accidently mingled with two corpses of Rana rugosa (LN1, 2) which were a
peer's study subjects, being raised in the same room with the Feirana. Corpses and thigh muscles
of these two subjects were preserved through the same procedure for genetic analyses (see
section 2.3).
Ethics Statement
All the species included in our study (F. quadranus, F. taihangnica and R. rugosa) are not
endangered or protected species according to the “Law of the People's Republic of China on the
Protection of Wildlife” and “Regulations for the Implementation of the People's Republic of
China on the Protection of terrestrial Wildlife” (State Council Decree [1992] No. 13); and our
eight simpling sites were not in core conservation areas. With the permission for sampling frog
specimens issued by the College of Life Science, Shenyang Normal University (Approval No.
SNY-LS-2009001), the Forestry Department of Shaanxi Province, China, approved of the field
work orally.
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2.2 Morphotypical classifications
Specimens were assigned to morphotypes (VV, VV+, vw, wv and ww) (Fig. 2) based on the
criteria below, which were compiled from references (Fei et al., 2009; Wang, 2007) and our
observations.
Typical traits of F. quadranus:
The trunk appears as narrow as the head; the back is olive brown in colored; there are wartlike granular bumps above the anal region, which are relatively large and sparse; there is a group
of wart-like granular bumps between the shoulder blades that forms an inverted "V" shape; and
the vents of the male adults are swollen (Fig.2A).
Typical traits of F. taihangnica:
The trunk appears wider than the head; the back has brown, yellow and black spotted, like a
mosaic of light and shadow created by waves and ripples (Fig. 2E); above anal region, there are
inconspicuous wart-like granular bumps, which are small and thick (dense); there are no inverted
V-shaped granules between the shoulder blades; and the vents of the male adults are not swollen.
Specimens with typical F. quadranus traits were labeled “VV”; the variation of F. quadranus
with a cream-colored mid-dorsal line was labeled “VV+” (Fig. 2B); frogs with typical traits of F.
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taihangnica were labeled as “ww”; and intermediates with mixed traits were labeled as “vw” or
“wv”, depending on their similarities to typical F. quadranus or F. taihangnica. For example,
some intermediates have half the extent of the dorsal spot pattern; some intermediates have no
inverted V-shaped granules between the shoulder blades but do have an inverted V-shaped black
spot at that position; some frogs labeled as "vw" look like "VV", only without granular bumps
above the anus (Fig. 2C); and some labeled as "wv" (Fig. 2D) look like "ww", only with too
many granular bumps on the back. For the convenience of analysis, three-morphotypes
classifications (VV, vw&wv and ww) were employed, where “VV” and “VV+” were both noted
as “VV”, and “vw” and “wv” as “vw&wv”, representing putative parents and suspected hybrids,
respectively.
Out of 117 specimens, 110 produced morphological results. XYB117–123, which were
newly metamorphosed frogs, were too young to be morphotypically identified (Table 1).
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2.3 16S classification
2.3.1 Laboratory work
The mitochondrial 16S rRNA gene was used to genetically classify 117 frog samples by
maternal bloodline. Two specimens of R. rugosa went through the same procedures as an
outgroup of Feirana.
Genomic DNA was isolated from ethanol-preserved muscle tissues using the genomic DNA
purification kit (Axygen, Hangzhou). A region of the 16S rRNA gene (~547bp) was amplified by
the primer pair P7 (forward, 5′-CGC CTG TTT ACC AAA AAC AT-3′) and P8 (reverse, 5′-CCG
GTC TGA ACT CAG ATC ACG T-3′) (Simon et al., 1994), which were also used in Jiang et al.
(2005) and Wang et al. (2009). Amplifications were performed under the following conditions:
94°C for 4 min, 35 cycles of 94°C for 40 s, 53°C for 40 s, 72°C for 70 s, and 72°C for 8 min.
Purified PCR products were sent to biotechnology companies (Sangon, Shanghai; Majorbio,
Shanghai) to be sequenced in one direction, 113 Feirana and two R rugosa samples by P7, and
four Feirana samples by P8.
2.3.2 Data analysis
The trimmed sequences of 113 Feirana, 2 R. rugosa, and 4 Feirana were submitted to
GenBank’s NCBI database, under the following accession numbers: KU865180–KU865181 (R.
rugosa), KU865182–KU865185 (F. taihangnica, sequenced by the reverse primer), and
KU865186–KU865298 (F. quadranus and F. taihangnica, sequenced by the forward primer),
respectively.
The sequences of the 117 specimens were compared with sequences of 2 R. rugosa, and the
reference sequences of 32 F. quadranus, 15 F. taihangnica, and 2 F. kangxianensis downloaded
from GenBank (Table 2), which were also amplified by the primers P7 and P8 (Che et al., 2009;
Wang et al., 2009).
In Unipro UGENE 1.21.0 (Okonechnikov et al., 2012), 168 sequences were aligned with
MUSCLE mode (Edgar, 2004), leaving the other parameters as default, and then trimmed to the
same length, 495 bp.
A phylogenetic analysis was conducted in MEGA 6.06 (Tamura et al., 2013). Several
statistical methods, including maximum likelihood (ML), neighbor-joining, minimum-evolution,
(unweighted pair group with arithmetic mean and maximum-parsimony, were tested.
The tree shown (Fig. 3) was inferred by ML using the best model (K2+G) estimated to have
the lowest Bayesian information criterion value (Schwarz, 1978). It was a combination of the
Kimura 2-parameter nucleotide substitution model (Kimura, 1980) and a discrete gamma
distribution of five categories to model evolutionary rate differences among sites. The initial tree
for the heuristic search was obtained by applying the neighbor-joining method to a matrix of
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pairwise distances estimated using the Maximum Composite Likelihood approach. A bootstrap
test was performed with 500 replications. All of the gaps and missing data were included.
2.3.3 Divergence (p-distance)
Evolutionary divergence over sequence pairs (means ± standard errors of p-distances)
between and within groups were estimated. The number of base differences per site from the
averaging over all of the sequence pairs between and within groups are shown (Table S1).
Standard error estimates (s.e.) were obtained by a bootstrap procedure with 500 replicates. All of
the positions with less than 95% site coverage were eliminated. That is, fewer than 5% alignment
gaps, missing data, and ambiguous bases were allowed at any position. There were a total of 491
positions in the final dataset.
2.3.4 Phylogenetic classification
For the 117 specimens, those in the same branch as the reference F. quadranus or F.
taihangnica were classified as "Q" or "T", respectively. All of the morphotype "VV" are
genetically "Q", and all of the morphotypes "ww" and "vw&wv" are genetically "T", except four
specimens (see pink and blue rectangles in Fig.3). One specimen (HDT102) was labelled "Qvw", and three specimens (HDT101, HDT113, and HRP125) were labelled with "T-VV" (Fig.
6F).
2.4 Morphometric indices and statistical analyses
2.4.1 Chosing and designing morphometric indices
To evaluate the morphological variation and differentiation among the putative parents, "VV"
and "ww", and the suspected hybrids, "vw&wv" (see 4 for explaination), 34 indices were
employed. Originally, 32 morphometric characteristics based on Wang (2009) and Fei et al.
(2009) were measured on preserved specimens using Vernier calipers. 13 with significant
measurement errors (i.e. nostril-snout distance, width of outer web of first toe) or that were
disproportional to body size (i.e. tympanum horizontal diameter, distance between internal nares,
size of vomerine teeth, length and width of inner metacarpal tubercle, length and width of inner
metatarsal tubercle) were removed because Hayek, Heyer & Gascon (2001) warned against
measurement errors and data transformation. The remaining measured characteristics were
divided by snout-vent length (SVL) to eliminate body size effects.
Nine ratios were derived from certain measured characteristics, which together with 18 ratios
of measured characters to SVL were called ratio indices. The name of a ratio index is composed
as the pattern "dividend_divisor", e.g. HL_SVL represents HL/SVL. Seven extent indices, based
on extent of bumps and coloration patterns on the skin were given values between 0 and 1, or 0
and 2. In the end, 34 indices, including 27 ratio indices and 7 extent indices, remained for
analysis (Table S3-Table S5).
Abbriviations of characters or indices with descriptions
Measured characters
SVL: snout-vent length, used to eliminate body size effects;
HL: head length, from posterior end of mandible to tip of snout;
HW: head width, measured at corners of the mouth;
SL: snout length, distance between anterior edge of orbit and tip of snout;
NED: nostril-to-eye distance, distance between centre of nostril and anterior edge of orbit;
IND: internarial distance, distance between inner ends of nostrils;
IOD: interorbital distance, shortest distance between inner edges of upper eyelids;
IAE: distance between anterior corners of eyes;
IPE: distance between posterior corners of eyes;
LHL: length of lower arm and hand, from elbow to tip of third finger;
HAL: hand length, from base of outer palmar tubercle to tip of third finger;
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TEL: femur length, from vent to knee;
TL: tibia length;
TFL: tibiofibula length (length of tarsus and foot), from base of tarsus to tip of fourth toe;
FL: foot length, from proximal end of inner metatarsal tubercle to tip of fourth toe;
T5FFL: length of free flap of the fifth toe, length of cutaneous fringe along the outer margin of
the fifth toe;
F1L: first finger length, from proximal end of thenar tubercle to tip of first finger;
F3L: partial 3rd finger length, distance between basal border of third finger to tip of third finger;
F4L: fourth finger length, from proximal end of thenar tubercle to tip of fourth finger.
Extent indices (scored between 0, indicating the trait was not seen, and 1, indicating the
maximum extent):
BBE: extent of big bumps above the anal region;
SBE: extent of small bumps above the anal region;
VBE: extent of bumps in the shape of inverted "V" between shoulder blades;
VSE: extent of patch in the shape of inverted "V" between shoulder blades;
LBE: extent of line-shaped bumps on the back; BSE: the extent of spot pattern on the back; LSE:
extent of strip or or spot pattern on legs (scored between 0, indicating no obvious pattern, 1,
indicating pure strip pattern, and 2, indicating pure spot pattern).
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2.4.2 Description of morphometric data
Morphometric raw data was in Table S2. Means and standard deviations (mean ± s.d.) of 34
indices were calculated in five groupings, with each set containing two or three groups: 16S (Q
and T), morp3 (VV, vw&wv, and ww), sex (female and male), F_morp3 (females' VV, vw&wv,
and ww) and M_morp3 (males' VV, vw&wv, and ww) (Table S3). To reveal the differences in
means between or among groups in each set, statistical tests were performed on the R 3.2
platform (R Core Team, 2015). The function "t.test" was employed to execute t-tests of sets
containing two groups (16S and sex sets). For the sets containing three groups, firstly,
"bartlett.test" (Bartlett, 1937) was used to check the homogeneity of the variances; and if the pvalue generated by Bartlett’s test was above 0.05, meaning variances were homogeneous, then an
ANOVA was applicable, and the function “avo” (Chambers, Freeny & Heiberger, 1992) was then
used to compare the means of the groups, otherwise "kruskal.test" for the Kruskal-Wallis test
(Myles & Douglas, 1973), which applies to extreme non-normal distributions of sample values,
was used instead.
In Excel 2011 for mac, profiles of the p-values for the five sets in Table S4 were plotted. Pvalues were ordered from highest at the bottom, to lowest at the top), and a logarithmic scale with
base 10 was applied to the y axis to magnify the high-degree differences represented by p-values
near 0, and minimize the low-degree differences represented by p-values near 1 (Fig. 4).
2.4.3 Multivariate analyses
Two types of multivariate analyses were performed on the R 3.2 platform (R Core Team,
2015) to estimate the morphometric variation among morp5 set (VV, VV+, vw, wv, and ww),
morp3 set (VV, vw&wv, and ww), 16S set (Q and T), or 16S_versus_morp set (Q, Q-vw, T-VV,
and ww) (Fig. 5F). The function “prcomp” with “scale = TRUE” was used for the principal
component analyses (PCA; see 4 for interpretation of PCA), clustering individuals in the
multivariate space of the first two principal components (PC1 and PC2); and the function “lda” in
package "MASS" (Venables & Ripley, 2002) was used for the linear discriminant analysis (LDA;
see 4 for interpretation of LDA).
Considering the possible sexual dimorphism, the females (Fig. 5A; Fig. 6A) and the males
(Fig. 5E; Fig. 6E) were analyzed separately, as well as together (Fig. 5B, F; Fig. 6B, F). The
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independent impacts of ratio indices (Fig. 5D; Fig. 6D) or extent indices (Fig. 5H; Fig. 6H) on
the PCA and LDA were explored.
To test the reliability of the morphotype-based classifications, morphotypical information
was simulated in two ways using falsified data sets from two populations (see Table S2). Based
on the real data, for the first simulated population, we changed a small proportion of VV into
vw&wv and a small proportion of ww into vw&wv or VV, and remixed the original vw&wv with
all three types (Fig. 5C; Fig. 6C); for the second simulated population, the three morphotypes
(VV, vw&wv, and ww) were randomly assigned to specimens (Fig. 5G; Fig. 6G).
2.4.4 Analyses of indices
To explore which indices are important in each PC or for each LD function, heat-maps
implemented by the function "aheatmap" of the package "NMF" (Gaujoux et al. 2010) were
employed to visualize weighted or not-weighted rotation matrices in the PCA and coefficients
matrices in the LDA. The function "aheatmap" defaults to a complete linkage clustering method,
using a Euclidean distance measure to hierarchically cluster rows and columns. To emphasize the
highly contributing PCs or LD functions, the absolute values of the respective rotations were
multiplied by the corresponding proportion of explained variance for each PC and the absolute
values of the respective coefficients were multiplied by the corresponding proportion of
explained discriminability for each LD. For matrices with small proportions of explained
discriminability for LD2, which would weaken its coefficients too much to be measurable, the
absolute values of the coefficients were not multiplied by the corresponding proportion of the
explained discriminability.
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3.1 16S
The applications of several statistical methods produced similar phylogenetic trees. The ML
tree with the highest log likelihood (-1398.4472) is shown (Fig.3). The outgroup, R. rugosa, and
isolates from Feirana (F. kangxianensis, F. quadranus, and F. taihangnica) had a high bootstrap
support value of 100%. Feiranus divides into two major clades, one containing all of the
reference F. quadranus (bootstrap value of 94%), and the other (bootstrap value of 69%)
containing all the reference F. taihangnica (bootstrap value 83%), and reference F. kangxianensis
(bootstrap value 97%) branched off shallowly. Most of the VV are in the same clade as the
reference F. quadranus, while most of the ww and vw&wv are in the same clade as reference F.
taihangnica. The only four exceptions are HDT101, HDT113 and HRP125, which are
morphotypically "VV", and HDT102, which is morphotypically "vw".
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3.2 Morphometric analysis
3.2.1 PCA
According to the PCA, in both females (Fig. 5A) and males (Fig. 5E), there is a clear
differentiation between VV and ww. The distribution of wv&vw is closer to ww. In males (Fig.
5E) and total specimens (Fig. 5B), most of the wv&vw are mixed with ww, or in the area between
ww and VV, and a small proportion are mixed with VV. In females (Fig. 5A), limited samples of
vw&wv are near the borderline of the ww zone.
The incomplete differentiation between Q and T is shown by the genetic classification (Fig.
5F). The three border-crossers, HRP108, HDT106, and HDT110, being genetically T, appear in
VV's territory. The four specimens with controversial classifications (see 2.3.4), T-VV (HDT111,
HDT113, and HRP125), which are genetically T but morphotypically VV, and Q-vw (HDT102),
which is genetically Q but morphotypically vw, appear in the ambiguous zone between Q and T
(Fig. 5F). The positions of the four specimens in the multivariate spaces of females (Fig. 5A) and
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males (Fig. 5E) are also close to the borderline between VV and ww.
Ratio indices failed to differentiate between VV and ww (Fig. 5E); however, extent indices
differentiate solely using PC1, and vw&wv are perfectly scattered along the boundary zone
between VV and ww (Fig. 5H).
3.2.2 LDA
Based on the LDA, VV, vw&wv, and ww are clustered into three separate groups in both
females (Fig. 6A) and males (Fig. 6E). The differentiation between vw&wv and VV or ww is less
complete in total specimens (Fig. 6B).
Similar to the PCA results, extent indices differentiate the three morphotypes more
completely than the ratio indices (Fig. 6D, H).
3.2.3 Simulated data
For the first simulated population, as the number of falsified morphotypes increased, the
differentiation between VV and ww became indistinct in the PCA (compare Fig. 5C with Fig. 5B)
and spaces among the three morphotypes narrowed in the LDA (compare Fig. 6C with Fig. 6B).
The PCA (Fig. 5G) and LDA (Fig. 6G) of the second simulated population, with random
morphotypical data, exhibited an increased degree of disorder.
3.2.4 Analyses for importance of indices
A full version of heat-maps are shown in Fig. S2.
In the LDA, it seems that, to discriminate three morphotypes or five morphotypes from the
total specimens, finger lengths and other length indices were the most contributive characters
(Fig. S2E-H). Finger lengths, however, are not crucial for discriminating between morphotypes.
When F1L_SVL, F3L_SVL and F4L_SVL were eliminated from the morphometric data, plots of
the LDA for each set stayed the same, only the indices originally ranked after F1L_SVL,
F3L_SVL, and F4L_SVL upgraded their contributions to each LD (data not shown). Contrarily,
the seven extent indices seemed to be minimally involved in discriminating between
morphotypes. However, when these seven extent indices were excluded, leaving only 27 ratio
indices, the three morphotypes could not be easily distinguished (Fig. 6D); or when the 27 ratio
indices were excluded, leaving only the seven extent indices, the distribution pattern of three
morphotypes stay the same (Fig. 6H). Therefore, we decided not to use coefficients matrix of
LDA to analyze importance of indices.
In the PCA, generally speaking, indices on limb and finger lengths contribute most to PC1,
while indices involving bumps and coloration patterns contribute most to PC2. The weighted
rotation matrix of 34 indices for the first 10 PCs (eigenvalues > 1), accounting for 78.11% (total
specimens) of the variation is shown here (Fig. 7A). The most important indices in PC1 were
TL_SVL, (tibia length)/SVL; LHL_SVL, (length of lower arm and hand)/SVL; and TFL_SVL,
(tibiofibula length)/SVL. The most important indices in PC2 were BSE, the extent of spots on the
back and BBE, the extent of big bumps above the anal region.
The weighted rotation matrix of seven extent indices is shown for the first two PCs
(eigenvalues > 1), accounting for 63.80% of the variation (Fig. 7B). VBE, the extent of bumps in
the shape of an inverted "V" between the shoulder blades; BSE, the extent of spots on the back;
and BBE, the extent of big bumps above the anal region, account for most of the PC1 variance,
which clearly differentiated the three morphotypes (Fig. 5H).
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Introgressive hybridization is often identified by the presence of morphological intermediates
in the contact zone between two parental species (Anderson, 1949; Hubbs, 1955; Arnold, 1992).
We devised the three morphotypical classification to represent two "parents" and their suspected
"hybrid", a simplified hybridization pattern, which, however, did not mean that each vw&wv was
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a hybrid, or that each VV or ww was a pure parent, especially for samples at sites inhabited by
two or three morphotypes (e.g. HDT, HRP, and XYB). Based on the theory of introgressive
hybridization (Anderson, 1949), frogs at these sites may have been intercrossed and backcrossed
for many generations, leading to limited pure "parents", and these morphotypical "parents", VV
and ww, may only have been more back-crossed than the morphotypical "hybrids" (Lehtinen et
al., 2016). Another possible hypothesis is that hybridization does not necessarily equally (50%)
affect the hybrids' appearances because there are genetic and developmental buffers between a
frog's genotype and its phenotype, such as hybridogenesis (Holsbeek & Jooris, 2010; Mikulíček
et al., 2014), genomic imprinting (Tunner, 2000), pleiotropy, dominance, epistasis (Gallez &
Gottleib, 1982), and epigenetic phenomenon. Therefore, this simplified hybridization pattern was
only adopted for the convenience of verifying possible introgression.
PCA and LDA are often used to detect or estimate hybridization, especially in morphology
(e.g. Albert, D'Antonio & Schierenbeck, 1997; Wu et al., 2011). In PCA theory, PCs are
uncorrelated linear combinations of rotated indices, and analyzing the entire data is reduced to
only considering the first several PCs that explain the majority of the variation (Crawley, 2009).
The most common visual way is to place individuals on a scatterplot of the first two PC axes, and
use group-based symbols to represent individuals. The closer two points are, the more similar
their corresponding indices. This allows one to see whether individuals of one group are clustered
in the space and whether they are isolated from individuals of the other group.
Similar to the PCA, the LDA seeks the best linear functions to discriminate between
predefined groups instead of between individuals (Selvin, 1994). The grouping information for
each individual is preset, and coefficients of indices are estimated for LD functions which is one
less than the number of groups. Consequently, between-group differences are maximized in a
scatter plot of the first two LD functions, exhibiting how well pre-defined groups of individuals
can be separated by multivariate measurements (Lihová et al., 2007).
The expected pattern is presented in the multivariate space of the first two PCs of the PCA
(Fig. 5A, B, E, and H) and of the first two LD functions of the LDA (Fig. 6A, B, E, and H). A
further analysis on the simulated two populations, which were created based on the actual
population by falsifying morphotypical data (see 2.4.3) confirmed the reliability of the
hybridization pattern established by the three morphotypes.
In the mtDNA's phylogenetic tree (Fig. 3), wv and most vw’s are intermixed with ww in the
clade F. taihangnica. Could this suggest that F. taihangnica might be the maternal species of
suspected "hybrids", vw and wv, with VV being the paternal species? Considering the unique
breeding behavior of F. taihangnica, which is simultaneous polyandry with multiple males not
engaged in amplexus (Zhang et al., 2012) (see 1.2), it seems more likely that female F.
taihangnica ley eggs on rocks and then male F. quadranus and/or F. taihangnica fertilize them.
In the morphometric analysis, vw&wv are often intermixed with ww (Fig. 5A, B, E). In
particular, when excluding the seven extent indices, leaving only 27 ratio indices, which were
derived from measured characteristics (see 2.4.1), vw&wv were completely intermixed with ww
(Fig. 6D). However, when leaving only the seven extent indices, which describe typical traits of
F. quadranus and F. taihangnica (see 2.2), the vw&wv's proneness to ww disappeared (Fig. 5H).
Could this suggest that mtDNA have an influence on the measurable characteristics instead of
extent characteristics? Since backcrossing causes the offsprings to resemble the recurrent parental
species (Anderson, 1949), could this imply the hybrids' have a preference for backcrossing with
ww? Or could it be the genome-dosage effects that were often seen between diploid and triploid
frogs (e.g. Borkin et al., 2004; Plötner, 1994)?
Although morphological evidence has historically been used in studies of hybridization and
introgression (Rieseberg & Wendel, 1993), as Hubbs (1955) stated it is "an almost universally
valid rule that natural interspecific hybrids are intermediate between their parental species in all
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characters in which those species differ", there are still alternative explanations for morphological
intermediacy. For instance, shared ancestral traits (Muir & Schlötterer, 2005), phenotypic
plasticity in the parental species (Gibbs, 1968; Birch & Vogt, 1970), relictual genes in the gene
pool before the divergence, or less likely, parallel mutations, could result in the common
characteristics of the two species (Albert et al., 1997). Findings that morphometric analyses of
genetically identified hybrids can misclassify groups of hybrids as pure parents emphasizes the
limitations inherent in describing hybrid classes solely by morphological criteria (Lamb & Avis,
1987; Pagano & Joly, 1999).
Since there have not been any other reports supporting hybridization between F. quadranus
and F. taihangnica, we did not have enough confidence in our conclusion until evidence from
nuclear gene markers (Song et al., unpublished results) was found.
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The mtDNA, 16S rRNA gene, identified specimens as genetically F. quadranus (labeled as
Q) or genetically F. taihangnica (labeled as T), while a morphological classification grouped
specimens into three morphotypes (VV, vw&wv, and ww), representing putative parents and
suspected hybrids. Four exceptional specimens with conflicting classifications on the mtDNA
tree and three genetically Q having T phenotypes by morphometric analysis, blurred the
morphological boundary between Q and T.
The multivariate analyses of measured characteristics, and characteristics related to the
extent of bumps and coloration patterns, demonstrated a hybridization pattern where the
suspected hybrids, vw&wv, were intermediate between putative parents, VV and ww, with a
proneness to ww. vw&wv were also intermixed with ww in the mtDNA tree. vw&wv's proneness
to ww in the morphometric analysis disappeared when measured indices were excluded.
Indices on the extents of bumps and coloration patterns, such as BSE, BBE, and LBE, were
better at discriminating among suspected hybrids and putative parental types than the measured
indices. Because this is the first report on hybridization between F. quadranus and F. taihangnica,
cautions regarding the use of solely morphological evidence in identifying hybridization require
evidence from nuclear gene markers.
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Acknowledgement
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We wish to thank the following people: Prof. Jianping Jiang and Dr. Bin Wang (both in
Chengdu Institute of Biology, CAS), for showing specimens in the article (Wang et al., 2007) and
sharing opinions on hybridization of the two species; Prof. Yuyan Lu, Dr. Baotian Yang and Dr.
Bingjun Dong (all in SNU), for consultation throughout the whole work; Yu Zhou (formly in
SNU, now in Northeast Forestry University) and Hao Sun (IAE, CAS), for sharing experience in
molecular experiments and analysing data; Yangao Jiang (IAE, CAS), for sharing experience in
drawing maps and recommending the journal; Dr. Bing Zhou (formerly in SNU), for accidently
contributing two Rana rugosa; Dr. Benyon of www.sicnecedocs.com for her conscientious
editing of this paper. We also wish to thank uncountable people behind the internet for sharing
experiences in every aspect relating to the work, and thank various resources and platforms that
could not be mentioned in the methods for faciliating our work. Finally, we would like to give the
unltimate thanks and deep grief to frogs that were sacrificed for this work.
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675
Tables and Figures
676
Table 1 The information for eight sampling sites in this study
Morphotypes
Sampling sites
Laoxiancheng, Zhouzhi County, Shaanxi Prov.
Hua'erping, Zhouzhi County, Shaanxi Prov.
Pengjiagou, Foping County, Shaanxi Prov.
Liangjiazhuang, Ningshan County, Shaanxi Prov.
Huoditang, Ningshan County, Shaanxi Prov.
Huodigou, Ningshan County, Shaanxi Prov.
Pingheliang, Ningshan County, Shaanxi Prov.
Xunyangba, Ningshan County, Shaanxi Prov.
Total
677
a
Abbr.
LXC
HRP
FP
LJZ
HDT
HDG
PHL
XYB
8
N
a
1
24
20
14
26
3
3
19
110
n represents the sample size from each site.
16S types
VV/vw&wv/ww
n
Q/T
0/1/0
4/11/9
20/0/0
14/0/0
11/6/9
1/1/1
0/0/3
10/2/7
60/21/29
1
24
20
14
26
3
3
26
117
0/1
3/21
20/0
14/0
10/16
1/2
0/3
11/15
59/58
Location Coordinates
Longitude (E,
Latitude (N, °)
°)
107.7568
33.8030
107.8290
33.8349
107.9557
33.4461
108.3743
33.3976
108.4534
33.4322
108.4845
33.4567
108.5045
33.4733
108.5459
33.5522
/
/
678
Table 2 Information on 16S rRNA reference sequences
No.
GenBank
No.
Voucher No.
Species name in
reference articlea
Species name in
new nomenclature
Locality
(village/county/city,
province)
Latitude
(N, °)
Longitude (E,
°)
Reference
article
1
GQ225974
CIBKangxian01
“Feirana”.
taihangnica
F. kangxianensis
Kangxian, Gansu
105.4367
33.2804
Wang et al.,
2009
2
GQ225975
CIBKangxian02
F. kangxianensis
Kangxian, Gansu
105.4367
33.2804
3
GQ225907
CIB20060644
F. quadranus
Anxian, Sichuan
104.1856
31.6316
4
GQ225908
CIB20070336
F. quadranus
Beichuan, Sichuan
104.1262
31.795
5
GQ225909
CIB20060509
F. quadranus
Qingchuan,
Sichuan
104.7541
32.5778
6
GQ225910
CIB20060533
F. quadranus
Wenxian, Gansu
105.1842
32.7354
7
GQ225911
CIBHuixian01
F. quadranus
Huixian, Gansu
105.8702
33.8964
8
GQ225912
CIB20060463
F. quadranus
Nanjiang, Sichuan
106.6751
32.5883
9
GQ225913
CIBNanzheng02
F. quadranus
Nanzheng, Shaanxi
106.8261
32.8446
10
GQ225914
CIB20060469
F. quadranus
Fengxian, Gansu
106.5649
34.0983
11
GQ225915
CIBFengxian03
F. quadranus
Fengxian, Gansu
106.5649
34.0983
12
GQ225916
CIBLiuba03
F. quadranus
Liuba, Shaanxi
107.0848
33.7031
13
GQ225917
CIB20060340
F. quadranus
Changan, Shaanxi
108.7731
33.7628
14
GQ225918
CIB20060353
F. quadranus
Zhouzhi, Shaanxi
107.9742
33.7747
15
GQ225919
CIB200503551
F. quadranus
Fuping, Shaanxi
107.9491
33.6986
16
GQ225920
CIBNingshan01
F. quadranus
Ningshan, Shaanxii
108.4452
33.4344
17
GQ225921
CIBShanyang02
F. quadranus
Shanyang, Shaanxi
109.9675
33.6501
18
GQ225922
CIBShanyang03
F. quadranus
Shanyang, Shaanxi
109.9675
33.6501
19
GQ225923
CIBLangao01
F. quadranus
Langao, Shaanxi
106.3042
34.0021
20
GQ225924
CIBZhengba02
F. quadranus
Zhengba, Shaanxi
107.9339
32.5774
21
GQ225925
CIB20070187
F. quadranus
Wanyuan, Sichuan
108.2387
32.0877
22
GQ225926
CIB20060716
F. quadranus
Shennongjia, Hubei
110.5101
31.8211
23
GQ225927
CIBFangxian0203
F. quadranus
Fangxian, Hubei
110.3231
31.925
24
GQ225928
CIB20060387
F. quadranus
Wushan,
Chongqing
109.9074
31.3721
25
GQ225929
CIBWanzhou34
F. quadranus
Wuxi, Chongqing
109.9026
31.4804
26
GQ225930
CIBWanzhou41
F. quadranus
Fengjie, Chongqing
109.4298
30.6169
27
GQ225931
CIB20060715
F. quadranus
Lichuan ,Hubei
109.0946
30.5244
28
GQ225932
CIBB20010018
F. quadranus
Sangzhi, Hunan
109.9232
29.6346
F. taihangnica
Old city of
Zhouzhi, Shaanxi
107.4032
33.4832
F. taihangnica
Taibai, Shaanxi
107.5421
34.0573
29
GQ225976
CIBLaoxiancheng01
30
GQ225977
CIBTaibai03
“Feirana”.
taihangnica
Feirana
quadranus
Feirana
quadranus
Feirana
quadranus
Feirana
quadranus
Feirana
quadranus
Feirana
quadranus
Feirana
quadranus
Feirana
quadranus
Feirana
quadranus
Feirana
quadranus
Feirana
quadranus
Feirana
quadranus
Feirana
quadranus
Feirana
quadranus
Feirana
quadranus
Feirana
quadranus
Feirana
quadranus
Feirana
quadranus
Feirana
quadranus
Feirana
quadranus
Feirana
quadranus
Feirana
quadranus
Feirana
quadranus
Feirana
quadranus
Feirana
quadranus
Feirana
quadranus
“Feirana”.
taihangnica
“Feirana”.
taihangnica
Wang et al.,
2009
Wang et al.,
2009
Wang et al.,
2009
Wang et al.,
2009
Wang et al.,
2009
Wang et al.,
2009
Wang et al.,
2009
Wang et al.,
2009
Wang et al.,
2009
Wang et al.,
2009
Wang et al.,
2009
Wang et al.,
2009
Wang et al.,
2009
Wang et al.,
2009
Wang et al.,
2009
Wang et al.,
2009
Wang et al.,
2009
Wang et al.,
2009
Wang et al.,
2009
Wang et al.,
2009
Wang et al.,
2009
Wang et al.,
2009
Wang et al.,
2009
Wang et al.,
2009
Wang et al.,
2009
Wang et al.,
2009
Wang et al.,
2009
Wang et al.,
2009
Wang et al.,
2009
31
GQ225978
CIB2871K
“Feirana”.
taihangnica
F. taihangnica
Changan, Shaanxi
108.8389
33.8846
Wang et al.,
2009
32
GQ225979
CIB20060316
“Feirana”.
taihangnica
F. taihangnica
Ningshan, Shaanxi
108.5425
33.5482
Wang et al.,
2009
33
GQ225980
CIB2874K
“Feirana”.
taihangnica
F. taihangnica
Ningshan, Shaanxi
108.5425
33.5482
Wang et al.,
2009
34
GQ225981
CIB2876K
“Feirana”.
taihangnica
F. taihangnica
Zhashui, Shaanxi
108.8367
33.7837
Wang et al.,
2009
35
GQ225982
CIBHuashan03
“Feirana”.
taihangnica
F. taihangnica
Huashan, Shaanxi
109.8083
34.4672
Wang et al.,
2009
36
GQ225983
CIB20060325
“Feirana”.
taihangnica
F. taihangnica
Qinshui, Shanxi
112.0184
35.4302
Wang et al.,
2009
37
GQ225984
CIB20060320
“Feirana”.
taihangnica
F. taihangnica
Qinshui, Shanxi
112.015
35.4302
Wang et al.,
2009
38
GQ225985
CIB20060346
“Feirana”.
taihangnica
F. taihangnica
Jiyuan, Henan
112.0902
35.2649
Wang et al.,
2009
39
GQ225986
CIB20070485
“Feirana”.
taihangnica
F. taihangnica
Songshan, Henan
112.2176
33.9305
Wang et al.,
2009
40
GQ225987
CIB0408II012
“Feirana”.
taihangnica
F. taihangnica
Neixiang, Henan
111.8575
33.4984
Wang et al.,
2009
41
GQ225988
CIB20060349
“Feirana”.
taihangnica
F. taihangnica
Luanchuan, Henan
112.2963
33.7311
Wang et al.,
2009
42
DQ118514
KizYP215
Chaparana
quadranus
F. quadranus
Maowen Co.,
Sichuan
/
/
Che et al.,
2009
43
DQ118515
KizYP016
Chaparana
quadranus
F. quadranus
Guanyang,Wushan
Co., Chongqing
/
/
Che et al.,
2009
44
EU979831
SCUM20030031GP
Chaparana
quadranus
F. quadranus
An Co., Sichuan
/
/
Che et al.,
2009
45
EU979832
YNU-HUJJ7
Chaparana
quadranus
F. quadranus
Sangzhi, Hunan
/
/
Che et al.,
2009
46
EU979842
KIZ-HN0709001
Paa taihangnica
F. taihangnica
Taihangshan,
Jiyuan, Henan
/
/
Che et al.,
2009
47
EU979843
KIZ-HN0709002
Paa taihangnica
F. taihangnica
Taihangshan,
Jiyuan, Henan
/
/
48
DQ118516
KizYP216
Chaparana
quadranus
F. quadranus
/
/
/
49
EU979833
YNU-HU20025113
Chaparana
quadranus
F. quadranus
/
/
/
679
680
681
682
a
Che et al.,
2009
Hu et al., not
published in
articles
Hu et al., not
published in
articles
Due to taxonomic chaos in tribe Paini (Che et al., 2009), Feirana quadranus was also named
Chaparana quadranus (Jiang et al., 2005; Ohler & Dubois, 2006; Che et al., 2009; Wang et al.,
2009), and Feirana taihangnica was named Paa taihangnica (Jiang et al., 2005; Ohler & Dubois,
2006; Ye et al., 2013).
683
684
685
686
Fig. 1 Distribution of the 8 sampling sites from which 117 specimens were collected.
Abbreviations for sampling sites (light green diamonds) correspond to those in Table 1.
Reference sampling sites (green, pink, and blue spots), 1–41, correspond to the numbers in Table
2. Distribution zones were drawn according to Fig. 1 in Wang et al. 2009.
687
688
689
Fig. 2 Examples of the five morphotypes of F. quadranus and F. taihangnica. (A) VV; (B) VV+;
(C) vw, looks like VV, only without granular bumps above the anus; (D) wv, looks like ww, only
with too many granular bumps on the back; (E) ww. Photo credit: Yang Song & Xin Sui.
690
691
692
693
694
695
696
697
698
Fig. 3 Compressed maximum likelihood (ML) phylogenetic tree based on 16S rRNA gene partial
sequences. The bootstrap support values are shown below branches. Scale bar indicates an
evolutionary distance of 0.05 nucleotides per position in the sequence. The four grey rectangles
on the compressed tree correspond to four close-up shots along the right side, which are
abstracted from Fig. S1, a full version of the ML tree. In the close-up shots, Feirana specimens
are named by a combination of voucher number and corresponding morphotype, the F.
quadranus, F. taihangnica and F. kangxianensis references are named by a combination of
GenBank number and species name; pink and blue rectangles indicate four specimens with
conflicting morphotypical classifications.
699
700
701
702
703
704
Fig. 4 Profile plots of p-values for the five groupings in Table S3, with the vertical scale being
logarithmic in base 10. The blue dashed line labelled "16S", indicates the Q and T set; the orange
solid line labelled "morp3", indicates the VV, vw&wv, and ww set; the black solid line labelled
"sex", indicates the female and male set; the pink solid line labelled "F_morp3" or "F" indicates
the female VV, vw&wv, and ww set; and the green dashed line labelled "M_morp3" or "M",
indicates the male VV, vw&wv, and ww set.
A
B
C
D
E
F
G
H
HDT111
HRP125
HRP108
HDT106
HDT102
HDT113
HDT110
XYB104
705
706
707
708
709
710
Fig. 5 Results of the PCA. Scatterplots for the first two principal components, PC1 and PC2. (A,
E) PCA for 52 females and 58 males, respectively, grouped by the three morphotypes; (B, F) PCA
for the total 110 specimens, grouped into the three morphotypes and four
16S_versus_morphotypes, respectively; (C, G) PCA for the two simulated populations, the
different palettes signify the data's distance from reality; (D, H) PCA for the 110 individuals
based on the 27 ratio indices and on the 9 extent indices, independently.
711
712
713
714
715
716
A
B
C
D
E
F
G
H
Fig. 6 Results of the LDA. Scatterplots for the first two linear discriminant functions, LD1 and
LD2. (A, E) LDA for 52 females and 58 males, respectively, grouped by the three morphotypes;
(B, F) LDA for the total 110 specimens, grouped into the three morphotypes and five
morphotypes, respectively; (C, G) LDA for the two simulated populations’ three morphotypes,
the different palettes signify the data's distance from reality; (D, H) LDA for the total 110
specimens based on the 27 ratio indices and 7 extent indices, independently.
717
718
719
720
Fig. 7 Heat-maps of weighted rotation matrices of the PCA. In the weighted (multiplier) matrix,
the corresponding proportion of explained variance for each PC is in parenthesis. (A) The first 10
PCs for the total specimens, corresponding to Fig. 5B; (D) The first two PCs of the extent indices
for the total specimens, corresponding to Fig. 5H.