Research Article |
Corresponding author: Uliana V. Gorobeyko ( ekz.bio@ya.ru ) Academic editor: Clara Stefen
© 2025 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.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Gorobeyko UV, Kazakov DV, Kadetova AA, Sheremetyeva IN, Guskov VYu, Kartavtseva IV, Dokuchaev NE, Zakharov ES, Kruskop SV (2025) Intraspecific structure of Myotis petax Hollister, 1912 (Chiroptera: Vespertilionidae) based on mitochondrial DNA and morphological data. Vertebrate Zoology 75: 87-106. https://doi.org/10.3897/vz.75.e134683
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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.
Bat, control region, craniometric variability, Far East, genetic variability, Siberia
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 (
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,
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 (
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 (
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 (
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.
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.
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 |
Total DNA was isolated from ethanol-fixed tissues by the method of saline extraction (
The partial control region of mtDNA (from 985 to 1444 bp length) was amplified as in
The original sequences are deposited in the GenBank database under accession no. OP168765–OP168790, PP447735–PP447836, PP447858–PP447861, PP447863–PP447866, PP447869, PP447872–PP447905. 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: KT199099–KT199102 (
Maximum likelihood reconstruction was conducted in the IQTREE v. 1.6.12 software (
A preliminary morphometric analysis was performed by us earlier (
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, C1M3 – C-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 (
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).
Five highly differentiated genetic lineages are identified both on the ML tree and the Bayesian tree (Fig.
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.
Approximate ranges of genetic lineages (green, purple, blue, orange and red shaded areas) and sampling sites. For site numbers, see Table
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.
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).
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
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 | ||
k±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.
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
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.
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
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
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
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 |
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 (
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 (
The value of nucleotide diversity in the Primorsky Territory, Khabarovsk Territory, and Transbaikal Territory is significantly higher compared to neighboring territories (Table
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 (
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.
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 | ? |
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
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 (
“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).
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.
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 (
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.
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.
File S1
Data type: .xlsx
Explanation notes: tables S1–S4.
File S2
Data type: .png
Explanation notes: Craniodental measurements of Myotis bat skull.
File S3
Data type: .docx
Explanation notes: Tandem repeats and sequence length variability.