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Research Article
Intraspecific structure of Myotis petax Hollister, 1912 (Chiroptera: Vespertilionidae) based on mitochondrial DNA and morphological data
expand article infoUliana V. Gorobeyko, Denis V. Kazakov§|, Anastasia A. Kadetova, Irina N. Sheremetyeva, Valentin Yu. Guskov, Irina V. Kartavtseva, Nikolai E. Dokuchaev#, Evgeniy S. Zakharov¤, Sergei V. Kruskop«
‡ Federal Scientific Center of the East Asia Terrestrial Biodiversity, Far Eastern Branch of the Russian Academy of Sciences, Vladivostok, Russia
§ Institute of General and Experimental Biology, Siberian Branch of the Russian Academy of Sciences, Ulan-Ude, Russia
| University of Tyumen, Tyumen, Russia
¶ Moscow Zoo, Moscow, Russia
# Institute of Biological Problems of the North, Far Eastern Branch of the Russian Academy of Sciences, Magadan, Russia
¤ Ammosov North-Eastern Federal University, Yakutsk, Russia
« Lomonosov Moscow State University, Moscow, Russia
Open Access

Abstract

Myotis petax is a common and widespread Asian bat species, whose intraspecific sequence variability remains poorly understood. In this work we analyzed the variability of the mitochondrial control region and craniometric measurements for an extensive sample set originating from the entire species range. This made it possible to identify the main genetic lineages and to compare their distribution with the morphological groups. From our investigations, we found that the prevalent genetic lineages, namely, “Siberia,” “Amur,” and “Okhotsk,” appear to be connected to large river systems. The cohabitation of various genetic lineages occurs only in territories where different river basins are connected, such as the Primorsky Territory, Khabarovsk Territory, Transbaikalia Territory, and Mongolia. Moreover, we discovered that the five morphological groups (Siberia, Okhotsk, Amur, Kunashir, and Korea) are partially correlated with previously identified genetic lineages and subspecies. However, M. p. petax and M. p. loukashkini were the only two out of the five subspecies that could be well-defined using specific mtDNA sequences and morphological descriptions. Nonetheless, the subspecies M. p. ussuriensis does not have a distinct genetic lineage to allow for their classification. Notably, a specific mix of morphological group and a genetic lineage characterize the “Amurian morphological form,” which may support its validity as a subspecies rank. That notwithstanding, more information is needed to fully unravel the intraspecific structure of M. petax in the southern Far East and potential contact zones of diverse forms.

Keywords

Bat, control region, craniometric variability, Far East, genetic variability, Siberia

Introduction

The Eastern water bat, Myotis petax Hollister, 1912, is a common and widespread Asian bat species. It prefers near-water habitats and often forages at a height of less than 10 cm above the water surface (Tiunov 1997). Myotis petax is considered a sedentary species that spends the winter in caves or mines. However, there is a noticeable discrepancy between the species’ summer and winter abundance in the Russian Far East. It has also been observed that some individuals seem to prefer different kinds of hibernation sites while others migrate outside of summer habitat (Tiunov 1985). The species’ range extends from Western Siberia to the Far East of Russia, Northeast China, Korea, and Japan, and in the south reaches Northern Mongolia (Botvinkin 2002; Smith et al. 2008; Bernikov et al. 2011; Zhigalin and Khritankov 2014; Kawai 2015; Scheffler et al. 2016; Jo et al. 2018). The high density, vast range, and presence of the insular populations make M. petax a convenient object for studying intraspecific geographic variability.

However, M. petax remains a poorly studied bat species, which is largely due to the fact that M. petax was until recently considered as part of the widespread polytypic species Myotis daubentonii Kuhl, 1819 (Ognev 1928; Kuzaykin 1950; Gromov et al. 1963; Tiunov 1984, 1997; Yoshiyuki 1989; Bogdanowicz 1994; Koopman 1994), and only in the early 2000s the species rank of M. petax was confirmed by molecular (Matveev et al. 2005; Kruskop et al. 2012), karyological (Gorobeyko et al. 2020), and morphological data (Kruskop 2004; Matveev et al. 2005). As a consequence, many details of the lifestyle and ecology of M. daubentonii have been extrapolated to M. petax, leaving our data on the latter species actually deficient. Furthermore, only a small number of M. petax individuals have been included in molecular analyses.

Previously, based on mtDNA COI sequences, it was shown that M. petax has low nucleotide variability with a prevalence of the central, most abundant haplotype (Gorobeyko et al. 2020), while the intraspecific p distances between specimens amount to 0.28% to 1.16% (Kruskop et al. 2012; Gorobeyko et al. 2020). The differences between mtDNA cyt b sequences of M. petax from the Russian Far East and Northeast China are amounted to 0.2% (Wang et al. 2010). At the same time, the coefficient of genetic distances (DL) within M. petax calculated on the basis of Inter-SINE(MIR)-PCR data according to Link et al. (1995) range from 0.13–0.55, which may indicate genetic heterogeneity (Matveev et al. 2005).

The Far Eastern specimens of M. petax have significant differences in the amount and locality of heterochromatic materials in chromosomes that are not common for the genus Myotis (Gorobeyko et al. 2020). Another unusual trait of M. petax is the presence of short, 30 bp R1 repeats in the control region of mtDNA found in individuals from the Amur Region and Primorsky Territory of Russia (Gorobeyko et al. 2023). Long, 81 bp R1 repeats in M. petax are presented in a variable copy number (4–7), exhibit inter-individual sequence diversity, and consist of parts of the ETAS1 and ETAS2 conservative blocks of mtDNA. The size heteroplasmy previously described for Myotis species was not detected in M. petax (Gorobeyko et al. 2023).

The following subspecies have been described for the species based on morphometric characters: nominotypical, common in Western Siberia; M. p. ussuriensis Ognev, 1927 inhabiting the Far East; M. p. loukashkini Shamel, 1942, and M. p. chasanensis Tiunov, 1997, whose ranges need to be clarified (Tiunov 1997; Kruskop 2004; Tiunov and Makarikova 2007; Wang et al. 2010; Gorobeyko et al. 2021). In addition, an analysis of the morphometric variability of M. petax revealed the presence in the Russian Far East of the “Amurian morphological form” which differs from the formerly known subspecies by a combination of craniometric parameters (Gorobeyko et al. 2021). It is important to take into account that only M. p. loukashkini was described as a subspecies of M. petax (Shamel 1942), whereas the identification of the subspecies M. p. ussuriensis and M. p. chasanensis was based on the differences of these morphological forms from M. daubentonii sensu lato. Therefore, it appears that the validity of subspecies and the intraspecific structure of M. petax are still unclear.

Given the above context, the goal of this study was to ascertain the intraspecific structure of M. petax by examining their genetic and morphological structures. Accordingly, we analyzed the control region of mtDNA and craniometric variability for an extensive sample from the entire range, which made it possible to define M. petax intraspecific structure for the first time. We then discuss the correspondence of M. petax subspecies to genetic lineages and their possible contact zones of different forms.

Material and methods

Bat sampling

Bats were captured in July-August in summer roosts, from June to September in foraging sites, and in May and August-September in swarming sites (at cave entrances) using mist nets (6.0/7.0/10.0 m × 2.5 m, Ecotone, Poland) (Fig. 1). In April and between November and December, bats were captured by hand in hibernation sites. The short information about sampling localities in different regions with assigned codes is listed in Table 1 and is detailed in the Supplementary Information (Suppl. material 1: table S1). Bat wing membrane biopsies were sampled by a 3 mm skin biopsy punch, bat wing membrane biopsies were taken and preserved in 96% ethyl alcohol at -20°C until DNA was extracted. The bats were then released at their capture sites the next evening after being ringed with 2.9 mm aluminum rings. The sample material is stored in the Bioresource Collection of the Federal Scientific Centre of East Asia Terrestrial Biodiversity of the Far East Branch of the Russian Academy of Sciences (reg. number 2797657). Tissue samples (muscle) from bat vouchers (carcasses fixed in ethanol) deposited at the Zoological Museum of Lomonosov Moscow State University (ZMMU, Moscow, Russia), the Institute of Biological Problems of the North (Far Eastern Branch of the Russian Academy of Sciences, Magadan, Russia), and Surgut State University (Surgut, Russia) were also used. All applicable international, national and institutional ethics statements involving animals in research have been followed. Approval was granted by the Commission for the Regulation of Experimental Research (Bioethics Commissions) of Federal Scientific Center of the East Asia Terrestrial Biodiversity (Date 25.04.2022/No. 1).

Table 1.

Codes for sample collection localities. Genetic – sampling localities for molecular-genetic analysis, Morphology – sampling localities for craniometric analysis, N – number of samples. R – Russian Federation, C – China, K – Kazakhstan, M – Mongolia, SK – Republic of Korea.

Locality Coordinates Genetic Morphology
Code N Code N
R: Khanty-Mansi Autonomous Okrug, Korliki village 61°31.20'N, 82°25.20'E 1 3
R: Novosibirsk Region, Barsukovskaya Cave 54°22.20'N, 83°58.20'E 2 1
R: Novosibirsk Region, Novososedovskaya Cave 54°39.00'N, 83°58.80'E NN 4
K: East K Region, Bukhtarma River 49°44.40'N, 83°59.40'E KB 3
K: East K Region, Markakol Lake 48°45.00'N, 85°45.00'E KM 1
R: Altai Territory, Tigireksky Nature Reserve, M. Tigirek River 51°8.40'N, 83°3.00'E 3 6
R: Altai Republic, Kuyum River, Verchne-Kuyumskaya Cave 51°37.80'N, 86°19.80'E AK 1
R: Altai Republic, Altai Nature Reserve 50°52.20'N, 88°57.00'E AA 4
R: Altai Republic, Altai Nature Reserve, Iogach Village 51°46.80'N, 87°15.00'E AI 1
R: Altai Republic, Altai Nature Reserve, Teletskoye Lake 51°31.80'N, 87°42.60'E AT 2
R: Republic of Khakassia, Abakan River 53°36.60'N, 91°31.20'E KS 1
R: Republic of Tyva, Tore-Hol Lake 50°1.80'N, 95°4.20'E TY 11
R: Irkutsk Region, Tayshet City 55°55.80'N, 97°55.80'E 4 3 IT 3
M: Uvurkhangai aimag, Orhon River 47°6.00'N, 102°46.20'E 5 4 MO 5
R: Irkutsk Region, Argaley-3 Cave 53°27.00'N, 103°6.00'E 6 3
R: Irkutsk Region, Kultuk village 51°43.80'N, 103°43.80'E 7 3 IK
R: Irkutsk Region, Cheremkhovsky District, Oganai River 53°8.40'N, 103°5.40'E IO 1
R: Irkutsk Region, Listvenichny station, Baikal Lake 51°51.00'N, 104°42.60'E 8 3
R: Irkutsk Region, Okhotnichya Cave 52°7.80'N, 105°27.00'E 9 4
R: Irkutsk Region, Mechta Cave 52°57.00'N, 106°46.80'E 10 3
M: Selenge aimag, Orhon River 50°3.60'N, 106°8.40'E 11 1
R: Republic of Buryatia, Bayan village, Dzhida River 50°31.80'N, 105°15.60'E 12 3
R: Republic of Buryatia, Tasarkhay village, Dzhida River 50°31.80'N, 105°30.00'E 13 4
R: Republic of Buryatia, Babushkin City, Mysovka River 51°42.00'N, 105°52.20'E 14 3
R: Republic of Buryatia, Yagodnoe village 51°24.60'N, 106°28.80'E 15 1
R: Republic of Buryatia, Gusinoe Lake 51°17.40'N, 106°26.40'E 16 1
R: Republic of Buryatia, Mostovka village, Selenga River 52°7.20'N, 107°1.80'E 17 3
R: Republic of Buryatia, Ulady village, Kudara River 50°10.80'N, 107°39.00'E 18 4 BK 3
R: Transbaikal Territory, Zakharovo village, Shiviya River 50°31.80'N, 109°19.80'E 19 1
R: Transbaikal Territory, Shimbilik village 50°32.40'N, 109°35.40'E 20 2
R: Transbaikal Territory, Steklozavod village, Bobrovka River 50°34.80'N, 110°13.20'E 21 3
R: Transbaikal Territory, 10 km S of Khilogoson village, Arey River 51°3.00'N, 110°37.20'E 22 1
R: Republic of Buryatia, Dolganskaya Yama Cave 54°26.40'N, 113°46.80'E 23 11 BD 4
R: Transbaikal Territory, Soktuy-Milozanskaya Cave 50°1.80'N, 117°55.20'E 24 5
C: Inner Mongolia, Dalainor Lake 48°58.20'N, 117°25.80'E CI 2
M: Dornod aimag, Khalkhyn-Gol River 47°36.00'N, 118°45.60'E 25 6 MK 7
R: Transbaikal Territory, Shilka River 53°25.20'N, 120°19.80'E TS 2
R: Sakha Republic (Yakutia), Buotama River 61°15.00'N, 128°45.00'E 26 3
R: Amur Region, Sosnovyi Bor village 53°45.60'N, 126°53.40'E 27 9 ZE 25
R: Amur Region, Tokinsko-Stanovoy National Park 55°37.80'N, 130°42.00'E 28 2
R: Amur Region, Khingansky Nature Reserve, Dolgoe Lake 49°21.60'N, 129°45.60'E 29 10 AR 23
R: Amur Region, Khingansky Nature Reserve, Gryaznaya River 48°54.00'N, 130°30.60'E AG 1
C: Heilongjiang, Hailin 44°33.60'N, 129°22.80'E CH 2
R: Khabarovsk Territory, Talandin adits 50°50.40'N, 137°28.80'E 30 2 HT 2
R: Khabarovsk Territory, Galichnyi village 50°42.00'N, 137°12.00'E 31 10 HG 5
R: Khabarovsk Territory, Proschalnaya Cave 47°18.60'N, 136°30.00'E 32 4 HP 3
R: Primorsky Territory, Spasskaya Cave 44°34.80'N, 132°46.20'E 33 2 PS 2
R: Primorsky Territory, Lazovsky Nature Reserve, Korpad cordon 43°15.60'N, 134°1.80'E 34 5
R: Primorsky Territory, Primorsky Velican Cave 43°16.20'N, 133°37.20'E 35 7 PV 8
R: Primorsky Territory, Ussuriysk City 43°48.00'N, 131°57.00'E PU 2
R: Primorsky Territory, LZP-3, Priiskovaya Cave 44°22.80'N, 133°12.00'E PP 6
R: Primorsky Territory, Barabashevka River 43°14.40'N, 131°21.60'E 36 1 PB 1
R: Primorsky Territory, Ryazanovka River 42°49.20'N, 131°14.40'E 37 2 PR 2
R: Primorsky Territory, Tsukanovka River 42°46.80'N, 130°48.00'E 38 10 PT 10
R: Primorsky Territory, Mayachnoe village 42°38.40'N, 130°41.40'E 39 4 PM 4
R: Primorsky Territory, Kraskino village 42°42.60'N, 130°46.80'E PK 1
R: Primorsky Territory, Khasan Lake 42°27.00'N, 130°36.60'E HA 17
R: Primorsky Territory, Golubiny utyos 42°24.60'N, 130°45.00'E 40 4
R: Sakhalin Island, Pilenga River 50°58.20'N, 142°52.80'E 41 1
R: Sakhalin Island, Lesnaya River 48°34.80'N, 142°43.80'E 42 2
R: Sakhalin Island, Listvennitsa River 47°34.80'N, 142°36.00'E 43 1
R: Sakhalin Island, Pukhovaya River 47°28.80'N, 142°37.20'E 44 2
R: Sakhalin Island, Kitosiya River 46°22.20'N, 141°52.20'E SK 4
R: Sakhalin Island, Plelyarna River 51°19.80'N, 143°13.20'E SN 1
R: Sakhalin Island, Poronaiysky District 49°52.20'N, 143°58.20'E SP 1
R: Iturup Island 44°60.00'N, 147°52.80'E IP 2
R: Kunashir Island, Andreevka River 43°53.40'N, 145°37.20'E 45 1 KA 2
R: Kunashir Island, Ozernaya River 43°52.20'N, 145°28.80'E 46 2 KO 2
R: Kunashir Island, Severyanka River 44°20.40'N, 146°0.60'E 47 3
C: Jilin Province, Ji’an City 41°7.50'N, 126°11.64'E 48 1
SK: Gangwon Province 37°19.80'N, 128°9.60'E 49 4
Figure 1. 

The Eastern water bat in its natural habitat. Myotis petax from Transbaikal Territory, Chikoy River Valley (A) and Soktuy-Milozanskaya Cave (B), Primorsky Territory, foothills of the Chernyе Gory Range (C) and Republic of Buryatia, Dolganskaya Yama Cave (D). Photo by D.V. Kazakov.

DNA extraction, amplification, sequencing

Total DNA was isolated from ethanol-fixed tissues by the method of saline extraction (Aljanabi and Martinez 1997) or using the Diatom DNA Prep 200 Kit (Isogene Lab., Moscow, Russia), according to the manufacturer’s protocol with modifications as described in Kazakov et al. (2020).

The partial control region of mtDNA (from 985 to 1444 bp length) was amplified as in Gorobeyko et al. (2023), and an additional forward primer MPCR-3 (5’-ATCATTCTAATACCACTAACTA-3’) with an annealing temperature of 52°C was also used. PCR products were visualized on 1.0% agarose gels, purified using polyethylene glycol (Schmitz and Riesner 2006) or the Cleanup S-Cap Kit (Evrogen JSC, Russia), and sequenced in both directions using the ABI BigDye Terminator v 3.1 Cycle Sequencing Kit with the same primers on an ABI 3500 Genetic Analyzer at the University of Tyumen (Tyumen, Russia) and on an ABI Prizm 3130 Genetic Analyzer (Applied Biosystems, United States) at the Federal Scientific Center of the East Asia Terrestrial Biodiversity (Far Eastern Branch of the Russian Academy of Sciences, Vladivostok, Russia).

Phylogenetic analysis and genetic variability evaluation

The original sequences are deposited in the GenBank database under accession no. OP168765OP168790, PP447735PP447836, PP447858PP447861, PP447863PP447866, PP447869, PP447872PP447905. Geographic coordinates and metadata for each individual are given in Suppl. material 1 (Suppl. material 1: table S1). The sequences were aligned with published M. petax sequences from the GenBank: KT199099KT199102 (Hwang et al. 2016), JF806312 (Lu et al. 2013) using the BioEdit, version 7.0.9.0 software or the CLUSTAL algorithm (Sievers et al. 2011). Since the sequences of the M. petax control region vary in length from 985 to 1444 bp mainly due to the different number of long tandem repeats and the application of different primer pairs, we used only an 833 bp length part of the control region sequences for phylogenetic reconstruction and to construct a haplotype network. Additional R1 repeats and a portion of the middle repeats in individuals with more than 2 middle repeats were excluded to achieve equal sequence length. Myotis fimbriatus and M. pilosus sequences (JF806303, Lu et al. 2013; MN245054, Hao 2019) from the GenBank database were used as outgroups.

Maximum likelihood reconstruction was conducted in the IQTREE v. 1.6.12 software (Nguyen et al. 2015) with 1000 bootstrap replicates to test topology stability. ModelFinder (Kalyaanamoorthy et al. 2017) was used to select the optimal partitioning scheme and the best-fit substitution model under the BIC criterion: TN+F+I+G4 (Tamura and Nei 1993). The Bayesian tree was constructed in BEAST 2.0 software by Bayesian inferences performed for 10×106 generations (Bouckaert et al. 2019). Branches with bootstrap supports and posterior probabilities greater than 70% were considered reliable. Median-joining haplotype network was constructed using NETWORK v. 10.2 (https://www.fluxus-engineering.com/). Metrics of genetic diversity were calculated using DnaSP 6.12 (Rozas et al. 2017) and ARLEQUIN v. 3.5 (Excoffier and Lischer 2010).

Morphological analysis

A preliminary morphometric analysis was performed by us earlier (Kruskop 2004; Gorobeyko et al. 2021); here we expanded the sample with individuals from previously unrepresented regions throughout the range of M. petax. A total of 168 M. petax specimens (skulls, extracted from dry or alcohol-preserved skins) were measured and further analyzed. The complete list of the specimens examined with their corresponding localities and coordinates, is provided in the Supplementary Information (Suppl. material 1: tables S1, S2).

The following 15 craniodental measurements were taken: CBL – condylobasal length, CCL – condylocanine length, MW – mastoid width of skull at the level of the auditory bullae, BCW – width of braincase, BCH – height of braincase, IOW – interorbital width, RL – rostral length from anteorbital foramen to the alveolus of the inner incisor, RW – rostral width at the level of the infraorbital foramina, C1C1 – crown-measured width between the outer margins of upper canines, M3M3 – crown-measured width between outer margins of M3, C1M3C-M3 length, IM3 – maxillary row length, C – length of the upper canine cingulum base, M3L – crown length of M3, M3W – crown width of M3, MdL – length of the lower jaw to the posterior edge of the angular process. The scheme for performing skull measurements is given in Suppl. material 2. The measurements were taken under a binocular using an electronic caliper with an accuracy of 0.01 mm. Morphometric analyses were performed using the appropriate modules of STATISTICA for Windows version 7.0 (StatSoft, Inc., 2004). All data were standardized before analysis.

Morphometric analysis was carried out in several stages. At the first stage, an analysis of sexual dimorphism was conducted, for which total samples of males (n=62) and females (n=79) were compiled, and the average values of the parameters were analyzed. It was noted that the distribution of all the parameters under study was normal; hence, the Student’s t-test was used to determine whether sexual dimorphism was present for each parameter (differences were considered significant at p < 0.01).

Next, to analyze geographic variation, cluster analysis was conducted for the entire undivided sample, as well as stepwise discriminant function analysis (DFA) for local samples. For each local sample, the mean measurement values (M), minimum and maximum values (min and max), as well as the standard error of the mean (SE), variance (σ), and coefficient of variation (CV) were calculated. Kruskal-Wallis analysis of variance (ANOVA) was performed to assess similarities and differences for local samples because the distribution was different from normal. A comparison of average ranks (z) and p’ revealed local samples that did not differ from each other in any characteristic (differences were considered significant at p’<0.01), and after several rounds of ANOVA, they were combined into a larger learning samples for further DFA.

The DFA was performed in four rounds using the learning samples and a sample named UN (undefined), which included specimens not examined in previous analyses. Stepwise DFA using learning samples is described in detail in previous works (Matveev et al. 2005; Gorobeyko et al. 2021). The squared Mahalanobis distances between the learning samples and the level of p-significance, as well as posterior probabilities for each specimen, were calculated. A comparison of classification matrices with the results of canonical analysis made it possible to match individuals from the UN with one or another learning sample and combine them into larger groups. The mean measurement values (M), minimum and maximum values (min and max), as well as the standard error of the mean (SE), variance (σ), and coefficient of variation (CV), were calculated for groups obtained after five rounds of DFA.

Results

Tandem repeats and sequence length variability

In this work, partial sequences of the mtDNA control region are obtained for 171 M. petax specimens from 48 localities. The length of the obtained sequences varies from 985 to 1444 bp, mainly due to the copy number of the repeats varying from 4 to 8 among individuals. One or two short 30 bp additional R1 repeats in the control region of mtDNA are found in the individuals from the Amur Region, Primorsky Territory, Transbaikal Territory, and Irkutsk Region.

Small insertions of 1–15 bp length, duplicating the part of the ETAS-domain, were detected at the beginning of the control region in one specimen from the Khabarovsk Territory and four individuals from the Republic of Buryatia and in the last R1 repeats in two individuals from the Altai Territory.

Additional data on sequence length variability are detailed in the supporting information (Suppl. material 3).

Phylogenetic analysis and distribution of genetic lineages

Five highly differentiated genetic lineages are identified both on the ML tree and the Bayesian tree (Fig. 2). All lineages are well separated and highly supported, but the topology of both phylogenetic trees differs in detail. The median-joining haplotype network also showed the presence of five genetic lineages that are in good agreement with those identified on the phylogenetic trees (Fig. 3).

Figure 2. 

Maximum likelihood (A) and Bayesian phylogenetic trees (B) based on control region sequences of Myotis petax and outgroups. Nodes are labeled with the bootstrap support and posterior probabilities values. Circles indicate samples whose locations does not correspond to the approximate ranges of the mitochondrial lineages to which they belong. The circle color corresponds to the sampling sites: green – “Siberia,” blue – “Okhotsk,” purple – “Amur.” The ID accession nos. for the sequences used in the phylogenetic analysis are listed in the Suppl. material 1: table S1. The substitution model used in the Maximum Likelihood Tree was TN+F+I+G4 with 1000 bootstrap replicates, and the Bayesian tree was constructed using the Bayesian inferences performed for 10×106 generations.

Figure 3. 

Approximate ranges of genetic lineages (green, purple, blue, orange and red shaded areas) and sampling sites. For site numbers, see Table 1 and Supplementary Information (A). Median-joining network of control region haplotypes in Myotis petax (B); color-coded based on their geographical areas and numbers represent connections separated by more than one mutation.

The two most genetically divergent lineages are “Korea” (n=4) and “Kunashir” (n=6), named after the only localities where these lineages were found, i.e., the Korean Peninsula and Kunashir Island, respectively. Although the position of these clades on the ML tree is unresolved, on the Bayesian tree lineage “Korea” appears to be more separated from other lineages including lineage “Kunashir.”

The relative positions of the lineages “Okhotsk,” “Amur,” and “Siberia” on the Bayesian tree and the ML tree are different. Moreover, on the Bayesian tree, the lineage “Amur” is closer to the lineage “Siberia” than to the “Okhotsk,” while on the ML tree, the lineages “Okhotsk” and “Amur” are more related to each other than to the lineage “Siberia” (Fig. 2). The phylogenetic tree position of one individual OP168767 from Spasskaya Cave (Primorsky Territory) is unclear, since on the ML tree and MJ network it is more related to the lineage “Okhotsk,” although on the Bayesian tree it appears closer to the lineage “Amur”.

The approximate range of the lineage “Siberia” (n=103) consists of the western and eastern parts; the first one extends from the upper and middle reaches of the Ob River and the northwestern Altai Mountains west to the Yablonovy Range, south to central Mongolia (Orhon River). The eastern part comprises the southern Sikhote-Alin Mountains and foothills of the Chernye Gory Range (Primorsky Territory). The single individuals of this lineage are also found in the Khabarovsk Territory: central Sikhote-Alin Mountains (1 out of 4 specimens) and Lower Amur (1 out of 12 specimens). Specimens from the Selenga Valley (Republic of Buryatia, Transbaikalia Territory), the Chernye Gory Range, and the Sikhote-Alin Mountains (Primorsky Territory) form three separate clades within the lineage “Siberia,” also well supported on the phylogenetic trees.

The lineage “Okhotsk” (n=28) is distributed from central Sikhote-Alin and Lower Amur (Khabarovsk Territory) to the middle reaches of the Lena River (Republic of Yakutia) in the northwest, as well as Sakhalin Island. The single specimens were recorded in the south of the Sikhote-Alin Mountains, in the lower reaches of the Tumannaya River (Primorsky Territory), and in the Jilin Province of China (JF806312). The individuals from the Jilin Province and the Tumannaya River are merged into a single clade based on the Bayesian phylogenetic tree and ML tree.

The estimated range of lineage “Amur” extends from the Yablonovy Range and eastern Mongolia (Khalkhyn-Gol River) to the Ussuri River Valley and Lake Khanka in the east, as well as to the Stanovoy Range in the north. A single individual was detected near the Tayshet City of Irkutsk Region (1 out of 4 specimens). Genetic lineage “Amur” is characterized by the presence of 1–2 short additional repeats in the control region. One additional repeat occurs in the samples from the Amur Region (Stanovoy Range, Middle Amur), Irkutsk Region, Primorsky Territory, Transbaikal Territory, and Mongolia. Two additional repeats are found in specimens from the Amur Region (Sosnovyi Bor village) and Transbaikal Territory (Soktuy-Milozanskaya Cave).

Intraspecific genetic diversity

Mean p distances within genetic lineages vary from 0.80% to 1.12%, and K2P distances are 0.88–1.15%. Mean p distances between different lineages varied from 1.84% to 4.76%, and K2P distances were from 1.88% to 5.00%. A comprehensive table that details the within- and between-group distances can be found in the Supplementary Information (Suppl. material 1: table S3).

Genetic diversity indicators for different genetic lineages, geographical regions, and the entire sample are shown in Table 2. The lowest nucleotide diversity and average number of pairwise nucleotide differences (0.017 and 1.5) were found in the lineage “Korea” and the highest in the lineages “Siberia” (0.0111 and 9.836) and “Okhotsk” (0.0117 and 10.302). The level of nucleotide diversity and average number of pairwise nucleotide differences within the entire sample are higher than in separate genetic lineages (0.0186 and 16.339), which indicates a large contribution of intergroup differences to intraspecific variability. Haplotype diversity values are high and range from 0.833 to 1. The values of Tajima’s test are negative, but only for the lineages “Okhotsk” and “Siberia” are statistically significant (p<0.01). The values of the Fu test coefficient are not statistically significant.

Table 2.

Indicators of genetic diversity for genetic lineages and different geographic regions. n – sample size; N – number of haplotypes; Vs – number of variable sites; k±SE – average number of pairwise nucleotide differences; h±SD – haplotype diversity; π±SD – nucleotide diversity; Tajima’s D – coefficient of Tajima’s test (statistically significant values (p<0.01) are highlighted in bold); Fu’s Fs – Fu test coefficient; τd and τs are indicators of demographic expansion and spatial expansion, respectively (expansion time in mutation units); SE – standard error, SD – standard deviation. * The sample “Siberian” includes specimens from the localities Nos 1–18, 23. Geographical regions whose nucleotide diversity value is significantly higher compared to neighboring territories are highlighted in bold.

Genetic lineages
Amur Okhotsk Siberia Kunashir Korea Total
n 35 28 103 6 4 176
N 21 24 69 6 3 123
Vs 44 69 107 18 3 183
SE 7.644±0.765 10.302±1.688 9.836±0.401 7.067±4.829 1.500±0.536 16.339±0.609
h±SD 0.945±0.024 0.989±0.012 0.988±0.004 1±0.096 0.833±0.222 0.993±0.0017
π±SD 0.0087±0.0008 0.0117±0.0012 0.0111±0.0004 0.0080±0.0014 0.0017±0.0006 0.0186±0.0008
Tajima’s D -1.087 -1.666 -1.715 -0.644 -0.754 -1.589
Fu’s Fs -5.385 -10.578 -54.391 -1.521 -0.288 -106.084
τd 4.713 6.888 8.585 6.141 1.5 9.509
τs 6.127 6.416 9.672 7.983 1.299 6.300
Geographical regions
Sakhalin Island Primorsky Territory Khabarovsk Territory Amur Region Transbaikal Territory Siberian*
n 6 35 16 20 12 60
π±SD 0.0080±0.0027 0.0134±0.0014 0.0118±0.0016 0.0050±0.0007 0.0134±0.0013 0.0097±0.0005

Indicator of demographic expansion is relatively higher in the lineages “Siberia” and “Okhotsk,” but lower than in the entire sample, while spatial expansion in the lineages “Siberia,” “Kunashir” and “Okhotsk” is higher compared to the entire sample. Lineage “Korea” is characterized by the lowest values of demographic expansion and spatial expansion indicators.

Morphological variability

In the first phase, we compared the average values of craniometric parameters in the total samples of males (n=62) and females (n=79) to ensure the absence of sexual dimorphism. No significant differences (p>0.01) were found between females and males for any of the studied measurements, which allows the use of samples not separated by sex in further analysis of geographical variability.

For this purpose, 168 individuals from 41 localities are combined geographically into 18 local samples: INS – Kuril Islands (IP, KA, KO); SAH – Sakhalin Island (SK, SP, SN); KHASAN – Lake Khasan (HA), KHAS – Khasan District of Primorsky Territory (PB, PR, PT, PK, PM), PRI – the rest part of Primorsky Territory (PB, PS, PU, PP); KHAB – south of Khabarovsk Territory (HP), KOM – middle part of Khabarovsk Territory (HT, HG); AMU – south of Amur Region (AR, AG), ZEA – north of Amur Region (ZE); CHI – China (CI, CH); ZAB – Transbaikalia Territory (TS); BUR – Republic of Buryatia (BK, BD), IRK – Irkutsk Region (IT, IO, IK), MON – Mongolia (MO, MK), TYV – Republic of Tyva (TY), ALT – Republic of Altai (AA, AT, AI, AK), KAZ – Kazakhstan (KB, KM), SIB – Novosibirsk Region and Republic of Khakassia (NN, KS). Codes of localities are given in Table 1. The division of individuals from Primorsky and Khabarovsk Territories and the Amur Region into several local samples is dictated by the results of a preliminary morphometric analysis (Gorobeyko et al. 2021), which showed that these regions may be a contact zone for several morphological subspecies. The process of sequentially combining local samples using Kruskal-Wallis ANOVA and learning samples in a stepwise analysis of discriminant functions is reflected in Figure 4 and Suppl. material 1 (Suppl. material 1: table S2).

Figure 4. 

Sequential integration of local samples in the DFA of geographic variability after Kruskal Wallace analysis. Abbreviations for local and learning samples are given in the text.

In the first run, a DFA was performed with the next learning samples: KHASAN, ZEA, KOM, WSIB (Western Siberia, including ALT, KAZ, SIB, TYV), FE (Far East, including KHAB, INS, PRI, SAH), and BAI (Baikal, including BUR, IRK, ZAB). The following samples are included as UN (undefined): CHI, KHAS, MON, and AMU. In the next two rounds of DFA, no significant differences were found between BAI and ZEA, which allowed combining these samples into UAMU (Upper Amur); on the contrary, several individuals of AMU were assigned to KOM. During the IV round of DFA, it was found that specimens of KHAB are more likely to be assigned to the AMUR group than to the FE group, resulting in the KHAB being classified as the Baikal-Amur group in the final round of DFA.

As a result of the canonical analysis of the final samples, five morphological groups were obtained: “Far East,” “Khasan,” “Baikal-Amur,” “Western Siberia,” and “Lower Amur” (inner circle in Fig. 4) and designated by the names of the geographic regions where these forms were discovered. On a scatter diagram, the morphological groups are divided by the first canonical variate into two separate clusters without overlapping (Fig. 5A). The Khasan and Lower Amur groups are part of the first cluster, while the Far East, Baikal-Amur, and Western Siberia groups are part of the second. The groups of the first cluster are well separated by the third canonical variate (Fig. 5A), while the second cluster groups are highly overlapped (Fig. 5B). A map of the expected distribution of morphological forms is presented in Figure 5C.

Figure 5. 

Canonical analysis of the final samples and expected distribution ranges of morphological groups. A – all groups are plotted with CV I against CV II and CV III; B – only groups of second clusters are plotted with CV I against CV II; C – map of expected distribution of morphological form. The colors on map correspond to those on the graphs.

The Mahalanobis distances and p values for each morphological group (A) or values for groups of the second cluster (B) are displayed in Table 3A–B. Classification matrices displaying the percentage of individuals correctly identified in the DFA and the number of individuals that could be classified into another group are given in Table 3C and Table 3D (for the second cluster groups only). For each morphological group, the percentage of correct identification of individuals is quite high, which is also confirmed by reliable p-level values between groups. The average Mahalanobis distances between groups within both clusters were relatively small (4.73–8.79), but between groups in different clusters, the distances were an order of magnitude higher (41.37–53.11).

Table 3.

Mahalanobis distances, p values and matrix of classification for each morphological group. BAM – Baikal-Amur, SIB – Western Siberia, LAM – Lower Amur, FE – Far East, HAS – Khasan.

A Mahalanobis distances squared B Mahalanobis distances squared
Groups BAM SIB FE LAM HAS Groups BAM SIB FE
BAM 5.92 42.06 4.86 48.73 BAM 6.37 4.94
SIB 0 4.73 41.37 47.63
FE 0 0 43.94 53.11 SIB 0 5.5
LAM 0 0 0 8.79
HAS 0 0 0 0 FE 0 0 0
p level p level
C Matrix of classification D Matrix of classification
Groups % BAM SIB FE LAM HAS Groups % BAM SIB FE
BAM 89.71 61 1 6 0 0 BAM 89.71 61 1 6
SIB 71.43 5 20 3 0 0
FE 92.31 8 3 31 0 0 SIB 67.86 5 19 4
LAM 73.81 0 0 0 12 1
HAS 88.24 0 0 0 2 15 FE 73.81 8 3 31
Total 82.74 74 24 14 40 16 Total 80.43 74 41 23

Standardized canonical discriminant function coefficients of each are given in Suppl. material 1 (Suppl. material 1: table S4). The first root has a highly positive correlation with condylobasal length, maxillary row length, mandibular length, and intercanine width and has a negative correlation with condylocanine length, braincase width, and rostrum width. On the contrary, the second root has a positive correlation with condylocanine length, mastoid width, and mandibular length and has a negative correlation with braincase width, rostral length, and canine base width. The third root has a positive correlation with condylocanine length, interorbital width, intermolar width, and maxillary row length and has a negative correlation with mastoid width, braincase width, and rostrum width.

Canonical analysis, conducted only for groups of the second cluster, showed a significantly better division of the Far East, Baikal-Amur, and Western Siberia groups according to the first and second roots (Figure 5B). Standardized canonical discriminant function coefficients of each root are given in Suppl. material 1 (Suppl. material 1: table S4).

The mean, minimum, and maximum measurement values; standard error of the mean; variance; and coefficient of variation for each of the morphological groups and the entire sample are presented in Table 4. Almost all of the measurements overlap between different morphological groups. The most variable measurements are dental characteristics such as canine base width and length of the 3rd molar base, with the coefficient of variation from 7.445 to 10.866. The width of the 3rd molar base is slightly less variable with a coefficient of variation from 4.766 to 6.994. The rostral length may be slightly variable with a coefficient of variation of 2.878 or moderately variable with a coefficient of variation from 4.092 to 7.117.

Table 4.

Craniodental measurements for morphological groups of M. petax. For abbreviations, see Material and methods.

N Baikal–Amur Far East Western Siberia
68 42 28
Mean ± SE min-max CV σ Mean ± SE min-max CV σ Mean ± SE min-max CV σ
CBL 13.46±0.03 12.89–14.02 1.733 0.054 13.43±0.04 12.97–14.18 1.858 0.062 13.56±0.05 12.85–13.94 2.053 0.078
CCL 12.56±0.03 11.86–13.07 1.887 0.056 12.58±0.04 12.15–13.29 1.945 0.060 12.66±0.05 11.90–13.11 2.290 0.084
MW 7.59±0.01 7.34–7.90 1.598 0.015 7.58±0.02 7.29–7.88 2.120 0.026 7.79±0.03 7.43–8.11 2.001 0.024
BCW 7.43±0.02 7.08–7.82 2.065 0.024 7.32±0.03 7.06–7.73 2.539 0.035 7.53±0.04 7.15–7.88 2.682 0.041
BCH 5.19±0.02 4.88–5.60 3.005 0.024 5.32±0.04 5.00–6.37 4.629 0.061 5.34±0.04 4.84–6.15 4.443 0.056
IOW 3.85±0.02 3.35–4.15 3.544 0.019 3.90±0.02 3.58–4.16 3.083 0.014 3.91±0.03 3.50–4.17 4.087 0.026
RL 6.17±0.03 5.42–6.69 4.092 0.064 5.66±0.06 5.11–6.63 7.117 0.162 5.81±0.08 5.15–6.45 7.075 0.169
RW 4.84±0.02 4.48–5.28 3.126 0.023 4.82±0.02 4.52–5.08 2.575 0.015 4.99±0.03 4.60–5.18 2.874 0.021
C1C1 3.81±0.02 3.19–4.04 3.752 0.020 3.87±0.02 3.66–4.10 2.600 0.010 3.92±0.02 3.66–4.16 2.531 0.010
M3M3 5.58±0.02 5.20–6.09 2.921 0.027 5.65±0.02 5.37–5.87 2.140 0.015 5.63±0.03 5.27–5.92 2.761 0.024
C1M3 5.09±0.01 4.90–5.30 1.826 0.009 5.13±0.02 4.85–5.35 2.215 0.013 5.13±0.03 4.84–5.71 3.407 0.031
IM3 6.15±0.02 5.73–6.36 2.128 0.017 6.16±0.02 5.91–6.54 2.252 0.019 6.20±0.02 5.90–6.54 2.052 0.016
C 0.72±0.01 0.58–0.95 9.549 0.005 0.71±0.01 0.50–0.80 10.260 0.005 0.74±0.01 0.62–0.86 8.750 0.004
M3L 0.80±0.01 0.68–0.99 8.677 0.005 0.77±0.01 0.69–0.98 8.485 0.004 0.78±0.02 0.67–0.92 10.333 0.006
M3W 0.94±0.01 0.81–1.09 6.361 0.004 0.96±0.01 0.85–1.12 5.968 0.003 0.95±0.01 0.86–1.05 4.776 0.002
MdL 10.22±0.04 9.31–10.79 3.144 0.103 10.05±0.05 9.54–11.05 3.525 0.126 10.10±0.07 9.13–10.69 3.799 0.147
N Khasan Lower Amur All
17 13 168
Mean ± SE min-max CV σ Mean ± SE min-max CV σ Mean ± SE min-max CV σ
CBL 13.83±0.08 12.83–14.36 2.470 0.117 14.03±0.09 13.68–14.77 2.245 0.101 13.56±0.03 12.83–14.77 2.441 0.110
CCL 13.27±0.08 12.58–13.76 2.559 0.115 13.51±0.07 12.81–13.85 1.970 0.071 12.73±0.03 11.86–13.85 3.163 0.162
MW 7.57±0.05 7.27–7.94 2.478 0.027 7.67±0.04 7.45–7.98 1.989 0.023 7.63±0.01 7.27–8.111 2.157 0.027
BCW 7.49±0.04 7.13–7.70 1.994 0.022 7.49±0.05 7.14–7.82 2.219 0.028 7.43±0.01 7.06–7.78 2.471 0.034
BCH 5.21±0.05 4.84–5.56 3.735 0.038 5.33±0.03 5.15–5.58 1.987 0.011 5.26±0.02 4.84–6.37 3.939 0.043
IOW 3.93±0.04 3.58–4.23 3.766 0.022 3.94±0.04 3.76–4.22 3.402 0.018 3.89±0.01 3.35–4.23 3.613 0.020
RL 6.01±0.07 5.44–6.51 4.699 0.080 6.05±0.05 5.75–6.29 2.878 0.030 5.96±0.03 5.11–6.69 6.448 0.148
RW 4.93±0.05 4.47–5.53 4.567 0.051 4.86±0.05 4.57–5.13 3.877 0.036 4.87±0.01 4.47–5.53 3.404 0.027
C1C1 3.70±0.04 3.43–4.00 4.209 0.024 3.92±0.08 3.60–4.76 7.257 0.081 3.84±0.01 3.19–4.76 4.117 0.025
M3M3 5.47±0.04 5.19–5.77 2.968 0.026 5.69±0.07 5.39–6.34 4.622 0.069 5.60±0.01 5.19–6.34 3.037 0.029
C1M3 4.78±0.04 4.48–5.14 3.851 0.034 4.89±0.09 3.96–5.16 6.737 0.109 5.06±0.01 3.96–5.71 3.728 0.036
IM3 5.98±0.05 5.60–6.33 3.167 0.036 6.01±0.07 5.36–6.38 4.027 0.059 6.13±0.01 5.36–6.54 2.659 0.027
C 0.74±0.02 0.62–0.93 10.504 0.006 0.76±0.02 0.59–0.90 10.866 0.007 0.73±0.01 0.50–0.95 9.898 0.005
M3L 0.83±0.02 0.70–0.93 8.633 0.005 0.84±0.02 0.72–0.95 7.445 0.004 0.79±0.01 0.67–0.99 9.080 0.005
M3W 1.05±0.02 0.90–1.19 6.773 0.005 1.01±0.02 0.89–1.08 6.243 0.004 0.96±0.01 0.82–1.19 6.994 0.005
MdL 9.67±0.05 9.17–9.97 2.163 0.044 9.74±0.08 9.33–10.28 2.777 0.073 10.07±0.03 9.13–11.05 3.710 0.139

Discussion

It was shown that natural habitats of M. petax and, in particular, the foraging sites are closely associated with different types of water bodies (lakes, ponds) and river systems (Tiunov 1997; Botvinkin 2002; Didorenko et al. 2022). The approximate borders of the mitochondrial genetic lineages’ distributions appear to coincide with the major watersheds of northeast Asia. So, the eastern border of the mitochondrial lineage “Siberia” and the western border of the lineage “Amur” are apparently the Yablonovy Range and the Khentei-Daurian Highlands, representing watersheds of the Arctic and Pacific oceans (Geniatulin 2009). The northern limit of the mitochondrial lineage “Amur” distribution is the Stanovoy Range, another watershed between the Arctic and Pacific oceans. Thus, the approximate range of the lineage “Amur” generally coincides with the Amur River basin, with the exception of the Lower Amur.

The mitochondrial lineage “Siberia” predominates in the Southern Sikhote-Alin and in the foothills of the Chernye Gory Range (and possibly in the Jilin province of China), while haplotypes of the lineage “Okhotsk” are found here in a mosaic manner. This suggests that the pattern of distribution of these two lineages probably represents a gradient, where in the southern part the haplotypes of the lineage “Siberia” predominate, but further north the ratio changes in the opposite direction, and starting from the central Sikhote-Alin, the haplotypes of the lineage “Okhotsk” are prevalent. Indicators of demographic and spatial expansion in the lineages “Siberia” and “Okhotsk” are higher compared to all other lineages. Combined with statistically significant negative Tajima’s D values, this may indicate past population growth with range expansion of these lineages, which, consequently, could lead to the expanding of the contact zone between lineages in Southern and Central Sikhote-Alin.

Due to the lack of genetic data from northeast China, the mitochondrial lineage “Siberia” is assumed to have a significant distribution gap (about 1800 km around). As a result, it is not possible to say unequivocally that the connection between the eastern and western portions of the range is completely interrupted. However, it appears that both parts of the range of the lineage “Siberia” were connected in the past, as has been shown for some Asian species with a ring range (Matyushkin 1976, 1982). Recent findings of M. petax in Jiangxi and Guangdong provinces, confirmed genetically (Wu et al. 2022), indicate that the species’ range in China may be much wider than previously thought.

The value of nucleotide diversity in the Primorsky Territory, Khabarovsk Territory, and Transbaikal Territory is significantly higher compared to neighboring territories (Table 2), which can be explained by the cohabitation of various genetic lineages at the confluence of different river basins. Thus, in Primorsky Territory, where the rivers of the Amur basin contact with the rivers of the basin of the Sea of Japan (East Sea), we discovered three genetic lineages: “Siberia,” “Okhotsk,” and “Amur.” Two genetic lineages, “Siberia” and “Okhotsk,” are found in Khabarovsk Territory, where Amur basin’s rivers connect with the rivers of the Sea of Okhotsk basin. The coexistence of “Siberia” and “Amur” lineages occurs in the Transbaikal Territory and Mongolia, where the rivers of the Amur basin relate with the rivers of the Selenga basin. A possible explanation for the presence of individuals of the lineage “Amur” in the Tayshet City could be incomplete sorting of mitochondrial lineages, but this issue requires further research. Although there are no reliable data on the migratory activity of M. petax, the ecologically similar Western Palearctic species M. daubentonii is considered a sedentary species or a local migrant, but is capable of covering distances of 280–300 km (Hutterer et al. 2005), which is sufficient to cross watersheds between river basins.

In full agreement with the previous studies of morphological variability of M. petax, this work also clearly confirms the similarity of the insular and mainland populations of the southern Far East (Maeda 1985; Yoshiyuki 1989; Tiunov 1997; Kruskop 2004; Gorobeyko et al. 2021), as well as the reliable differences between specimens from the Lake Khasan (Khasan group) and the rest of the Primorsky Territory sample (Tiunov 1997; Gorobeyko et al. 2021). The range of the Western Siberia morphological group coincides with the previously described distribution of the nominotypical subspecies (Kruskop 2004; Gorobeyko et al. 2021). The existence of a separate “Amurian morphological form” (Lower Amur group), similar to the Khasan group, is also supported (Gorobeyko et al. 2021). At the same time, we found that expanding the sample from the Middle Amur and Transbaikalia confirms the validity of the Baikal-Amur morphological group, which has not previously been proven in the studies (Kruskop 2004; Gorobeyko et al. 2021).

Unfortunately, it is not possible to genetically type all individuals whose morphological variability was analyzed, due to the fact that a large volume of museum material was used in the work. Furthermore, for many genotyped individuals, craniological material is not available. Nevertheless, the association between genetic lineages and morphological groups is partially present. We attempted to correlate the morphological groups identified during the morphometric analysis with previously described subspecies and genetic lineages discovered in this work (Fig. 6, Table 5).

Table 5.

Belonging of samples from the collecting sites to genetic lineages and morphological groups. Genetic – sampling localities for molecular-genetic analysis, Morphology – sampling localities for craniometric analysis, N – number of samples. R – Russian Federation, C – China, M – Mongolia, SK – Republic of Korea, AO – Autonomous Okrug. AMF – Amurian morphological form, MPP – M. p. petax, MPL – M. p. loukashkini, FES – Far Eastern group + “Siberia” lineage, FEK – Far Eastern group + “Kunashir” lineage. Other abbreviations are explained in the text.

Region Genetic Morphological Combinations and subspecies
Code N lineage Code N group
R: Khanty-Mansi AO 1 3 Siberia ?
R: Novosibirsk Region 2 1 Siberia i M. p. petax
NN 4 Western Siberia
Kazakhstan KB 3 Western Siberia ?
KM 1 Western Siberia
R: Altai Territory 3 6 Siberia i M. p. petax
R: Altai Republic AK 1 Western Siberia
AA 4 Western Siberia
AI 1 Western Siberia
AT 2 Western Siberia
R: Republic of Khakassia KS 1 Western Siberia
R: Republic of Tyva TY 11 Western Siberia ?
R: Irkutsk Region 4 2|1 Siberia Amur IT 3 Baikal-Amur iii|ii MPP+MPL
M: Uvurkhangai aimag 5 4 Siberia MO 5 Baikal-Amur iii MPP+MPL
R: Irkutsk Region 6 3 Siberia iii MPP+MPL
7 3 Siberia IK 3 Baikal-Amur
IO 1 Baikal-Amur
8 3 Siberia
9 4 Siberia
10 3 Siberia
M: Selenge aimag 11 1 Siberia ?
R: Republic of Buryatia 12 3 Siberia iii MPP+MPL
13 4 Siberia
14 3 Siberia
15 1 Siberia
16 1 Siberia
17 3 Siberia
18 4 Siberia BK 3 Baikal-Amur
R: Transbaikal Territory 19 1 Siberia iii|ii MPP+MPL
20 1|1 Siberia Amur
21 2|1 Siberia Amur
22 1 Siberia
R: Republic of Buryatia 23 11 Siberia BD 4 Baikal-Amur iii MPP+MPL
R: Transbaikal Territory 24 5 Amur ii M. p. loukashkini
C: Inner Mongolia CI 2 Far East ?
M: Dornod aimag 25 6 Amur MK 7 Baikal-Amur ii M. p. loukashkini
R: Transbaikal Territory TS 2 Baikal-Amur ii M. p. loukashkini
R: Sakha Republic 26 3 Okhotsk ?
R: Amur Region 27 9 Amur ZE 25 Baikal-Amur ii M. p. loukashkini
28 2 Amur
29 10 Amur AR 17|6 Baikal-Amur Lower Amur ii|x MPL+AMF
AG 1 Lower Amur x MPL+AMF
C: Heilongjiang CH 2 Baikal-Amur ?
R: Khabarovsk Territory 30 2 Okhotsk HT 2 Lower Amur viii AMF
31 1|9 Siberia Okhotsk HG 5 Lower Amur ix|viii MPL+ AMF+ FES
32 1|3 Siberia Okhotsk HP 3 Baikal-Amur iii|xi
R: Primorsky Territory 33 1|1 Okhotsk Amur PS 2 Far East v|vii MPL+AMF+FES
34 5 Siberia iv FES
35 6|1 Siberia Okhotsk PV 8 Far East iv|v FES+AMF
PU 2 Far East iv FES
PP 6 Far East
36 1 Siberia PB 1 Far East
37 2 Siberia PR 2 Far East
38 10 Siberia PT 10 Far East
39 4 Siberia PM 4 Far East
PK 1 Far East
HA 17 Khasan xii M. p. chasanensis
40 1|3 Siberia Okhotsk iv|v FES+AMF
R: Sakhalin Island 41 1 Okhotsk v FES+AMF?
42 2 Okhotsk
43 1 Okhotsk
44 2 Okhotsk
SK 4 Far East
SN 1 Far East
SP 1 Far East
R: Iturup Island IP 2 Far East ?
R: Kunashir Island 45 1 Kunashir KA 2 Far East vi FEK
46 2 Kunashir KO 2 Far East
47 3 Kunashir
C: Jilin 48 1 Okhotsk ?
SK: Gangwon Province 49 4 Korea ?
Figure 6. 

Ranges of genetic lineages and morphological groups. For Roman numerals, see text. Asterisks indicate the type locality for each subspecies. Empty circles and filled circles represent localities from which only genetic or morphological data were obtained, respectively. The colors of the circles correspond to Figures 3, 5. The squares indicate localities where both genetic and morphological data were studied. The colors of the squares correspond to the colors of the morphological groups. Gray arrow heads show main watersheds within the species’ range.

  1. (i) Specimens belonging to the Western Siberia morphological group and genetic lineage “Siberia” can be attributed to the nominotypical subspecies M. p. petax, described from the Chuya Steppe in the northwest of the Altai Mountains (Republic of Altai) (Hollister 1912).
  2. (ii) Specimens with a combination of Baikal-Amur morphological group and genetic lineage “Amur” may be identified as M. p. loukashkini. The terra typica for the subspecies M. p. loukashkini is located in Wudalianchi City (Heilongjiang, China), and such a combination was found in the nearest localities, namely Lake Dolgoe (Amur Region) at a distance of 270 km and the Khalkhyn-Gol River (Mongolia) at a distance of 550 km. Moreover, the craniological measurements of the holotype and paratype of M. p. loukashkini (Shamel 1942) fall within the limits of variability for the Baikal-Amur group. All this allows us to assume that a combination of the Baikal-Amur morphological group and genetic lineage “Amur” (ii) may be attributed to the subspecies M. p. loukashkini. A similar combination (ii) was also found in one individual from Tayshet City (Irkutsk Region).
  3. (iii) Individuals with a combination of genetic lineage “Siberia” and Baikal-Amur morphological group may probably represent the result of hybridization between the M. p. petax (i) and M. p. loukashkini (ii).
  4. (iv) Most individuals of M. petax from Primorsky Territory (with the exception of Lake Khasan) are characterized by a combination of the Far East morphological group and the genetic lineage “Siberia.” It would be possible to assume that this combination may be inherent in the subspecies M. p. ussuriensis described from this territory. Nevertheless, in the putative range of M. p. ussuriensis, we also found combinations of the Far East morphological group with other genetic lineages.
  5. (v) Specimens of M. petax belonging to the lineage “Okhotsk” and the Far East morphological group are distributed mainly on Sakhalin Island with isolated individuals in the south of Primorsky Territory. Presumably, this combination may be found in M. petax from adjacent areas of China (Jilin and Heilongjiang province).
  6. (vi) Specimens of M. petax belonging to the lineage “Kunashir” and the Far East morphological group are found only on Kunashir Island. Previously, Maeda (1985) and Yoshiyuki (1989) did not find significant differences between M. petax from the Sakhalin Island, Kunashir Island, and Hokkaido Island, as well as from North Korea, and classified all of them as the subspecies M. p. ussuriensis.
  7. (vii) The specimen from the Spasskaya Cave (Primorsky Territory) belongs to the lineage “Amur” and the Far East morphological group.

All this indicates the absence of a specific genetic lineage distinguishing the subspecies M. p. ussuriensis, in contrast to the condition observed in the nominotypical subspecies (i) and M. p. loukashkini (ii). Previously, a discrepancy in the distribution of two mitochondrial lineages and two morphological forms was revealed in Eptesicus serotinus Schreber, 1774 (Artyushin et al. 2009, 2012). The possible explanation for this may be incomplete lineage sorting, as well as introgression and fixation of alien mtDNA haplotypes.

  1. (viii) Most of M. petax from Lower Amur (Khabarovsk Territory) are identified as the Lower Amur morphological group in combination with the genetic lineage “Okhotsk”. Previously we designated these specimens as the “Amurian morphological form” (Gorobeyko et al. 2021).
  2. (ix) The exception is one specimen with a combination of the Lower Amur group and the lineage “Siberia”.

“The Amurian morphological form” has essential differences from the other morphological groups and, moreover, cannot be related to any described subspecies. Greater similarity is observed with the Khasan group; however, the Lower Amur group is distinguished by larger average values of condylobasal and condylocanine length and width between the maxillary teeth. It can be assumed that the genetic lineage “Okhotsk” is inherent in the Lower Amur group, which, in turn, can serve as another argument confirming the validity of the “Amurian morphological form” as a form of subspecific rank. In this case, specimens with a combination of the lineage “Okhotsk” and the Far East group (v) or the lineage “Siberia” with the Lower Amur group (ix) may be hybrids of the “Amurian morphological form” (viii) and individuals combining the Far East group and the lineage “Siberia” (iv).

  1. (x) Part of the Middle Amur sample (Amur Region) belongs to the Lower Amur morphological group and genetic lineage “Amur,” while the other part of this sample is identified as M. p. loukashkini (ii).
  2. (xi) Most specimens of M. petax from the Proschalnaya Cave (Khabarovsk Territory) belong to the genetic lineage “Okhotsk” and the Baikal-Amur morphological group.

These facts may indicate a possible contact zone between the “Amurian morphological form” (viii) and M. p. loukashkini (ii) at the border of their ranges.

  1. (xii) Specimens of M. petax belonging to the Khasan group are found only near Lake Khasan, the southernmost part of the Primorsky Territory. These individuals are, on average, larger than the rest of the sample and were previously described as the subspecies M. p. chasanensis from Khasan District of the Primorsky Territory (Tiunov 1997). In certain publications, subspecies M. p. chasanensis was reduced to a synonym of M. p. loukashkini (Kruskop 2004). Nevertheless, the data obtained in the present work do not support such consolidation.

Unfortunately, due to the lack of material for genetic analysis, it was not possible to establish correspondence of the Khasan group to any genetic lineage. It is worth noting, however, that a distinct genetic lineage, “Korea,” has been identified in the relatively nearby Gangwon Province of South Korea. According to morphometric data (Yoon et al. 2010), specimens from Gangwon, North Gyeongsang, Jeonbuk and Jeonnam provinces (South Korea), presumably belonging to this genetic lineage, are on average larger in craniometric parameters than other M. petax (Gorobeyko et al. 2021). On the contrary, M. petax from South Pyongan Province (North Korea) shows a high degree of similarity with the Japanese specimens in craniometric measurements (Maeda 1985). The relationship between M. p. chasanensis and genetic lineage “Korea” appears to still require further study.

Conclusion

For the first time, a detailed description of the intraspecific structure of M. petax has been presented using both morphological and molecular information. From our investigations, we discovered three common genetic lineages: “Okhotsk,” “Amur,” and “Siberia,” and uncovered that the range of these genetic lineages seems to be connected to large river systems. Notably, “Korea” and “Kunashir,” the two local and most genetically distinct lineages, are exclusive to the Korean Peninsula and Kunashir Island, respectively. The cohabitation of various genetic lineages has been established only for territories where different river basins are connected, such as the Primorsky Territory, Khabarovsk Territory, Transbaikalia Territory, and Mongolia.

We revealed the five morphological groups, which only partially correlated with genetic lineages and morphological subspecies. The two subspecies previously described for M. petax sensu stricto can apparently be defined as a specific combination of a morphological group with a genetic lineage. Thus, M. p. petax can be characterized as specimens belonging to the Western Siberia morphological group and genetic lineage “Siberia,” while M. p. loukashkini represents a combination of the Baikal-Amur morphological group with the genetic lineage “Amur.” Accordingly, a distinctive feature of M. p. loukashkini is the presence of additional R1 repeats in the control region of mtDNA, found only in the lineage “Amur.”

The subspecies structure of M. petax in the southern Far East remains unclear and still requires further study. We found the absence of a specific genetic lineage distinguishing the individuals in the putative range of M. p. ussuriensis, in contrast to the condition observed in the nominotypical subspecies and M. p. loukashkini. On the contrary, the lack of genetic data from the type locality does not allow establishing the relation of M. p. chasanensis with any genetic lineage.

Most specimens of the “Amurian morphological form” are characterized by a specific combination of the Lower Amur morphological group and the genetic lineage “Okhotsk,” which may possibly serve as confirmation of the validity of “Amurian morphological form” as a form of subspecific rank.

Acknowledgements

We are especially grateful to the members of Vladivostok Caving Club for the organization of field works in the caves of Primorsky Territory. We would like to thank Dr. Oleg N. Morozov (Center of Children’s Complementary Education and Evenkis’ Folk Crafts, Bagdarin, Russia), Yulia A. Mel’nikova and Denis N. Kochetkov (Khingan Nature Reserve), Sergey Yu. Ignatenko and Elena V. Ignatenko (Zeya Nature Reserve), Dr. Alexander D. Botvinkin (Irkutsk State Medical University, Irkutsk, Russia), Dr. Maxim A. Khasnatinov (Federal State Public Science Institution “Scientific Centre for Family Health and Human Reproduction Problems,” Irkutsk, Russia), Vladimir S. Lebedev and Yaroslav A. Red’kin (Zoological Museum of the Lomonosov Moscow State University, as well as part of Joint Russian-Mongolian Complex Biological Expedition of the Russian Academy of Sciences and Mongolian Academy of Sciences), Alexandra P. Shumkina, Elena Yu. Shumkina, Alexander B. Alekseev and Evgeny Raspopov (“Mechta,” Irkutsk, Russia), Nikolai V. Yakovchic (Irkutsk, Russia), Vadim V. Bobrovsky and Polina S. Van (Petrenko) (Komsomolsk-on-Amur, Russia), Evgeny E. Kozlovsky (Yuzhno-Kurilsk, Russia), Vasily V. Gorobeyko (Vladivostok, Russia) for their help in mounting the expeditions. We express our sincere gratitude to the reviewers for their adequate assessment of the manuscript and valuable comments that allowed us to improve the manuscript. We sincerely thank Haneef Ahmed Amissah, a native English speaker, who corrected language errors in the article.

The research was carried out within the state assignment of Ministry of Science and Higher Education of the Russian Federation theme No. 124012200182-1 (Federal Scientific Center of the East Asia Terrestrial Biodiversity of FEB RAS), theme No. 121030900138-8 (Institute of General and Experimental Biology of SB RAS), and state theme of scientific work of the ZMMU No. 121032300105-0.

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Supplementary materials

Supplementary material 1 

File S1

Uliana V. Gorobeyko, Denis V. Kazakov, Anastasia A. Kadetova, Irina N. Sheremetyeva, Valentin Yu. Guskov, Irina V. Kartavtseva, Nikolai E. Dokuchaev, Evgeniy S. Zakharov, Sergei V. Kruskop

Data type: .xlsx

Explanation notes: tables S1–S4.

This dataset is made available under the Open Database License (http://opendatacommons.org/­licenses/odbl/1.0). The Open Database License (ODbL) is a license agreement intended to allow users to freely share, modify, and use this dataset while maintaining this same freedom for others, provided that the original source and author(s) are credited.
Download file (44.59 kb)
Supplementary material 2 

File S2

Uliana V. Gorobeyko, Denis V. Kazakov, Anastasia A. Kadetova, Irina N. Sheremetyeva, Valentin Yu. Guskov, Irina V. Kartavtseva, Nikolai E. Dokuchaev, Evgeniy S. Zakharov, Sergei V. Kruskop

Data type: .png

Explanation notes: Craniodental measurements of Myotis bat skull.

This dataset is made available under the Open Database License (http://opendatacommons.org/­licenses/odbl/1.0). The Open Database License (ODbL) is a license agreement intended to allow users to freely share, modify, and use this dataset while maintaining this same freedom for others, provided that the original source and author(s) are credited.
Download file (1.39 MB)
Supplementary material 3 

File S3

Uliana V. Gorobeyko, Denis V. Kazakov, Anastasia A. Kadetova, Irina N. Sheremetyeva, Valentin Yu. Guskov, Irina V. Kartavtseva, Nikolai E. Dokuchaev, Evgeniy S. Zakharov, Sergei V. Kruskop

Data type: .docx

Explanation notes: Tandem repeats and sequence length variability.

This dataset is made available under the Open Database License (http://opendatacommons.org/­licenses/odbl/1.0). The Open Database License (ODbL) is a license agreement intended to allow users to freely share, modify, and use this dataset while maintaining this same freedom for others, provided that the original source and author(s) are credited.
Download file (13.68 kb)
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