Abstract
The Japanese greater horseshoe bat (Rhinolophus nippon) is distributed widely in East Asia. Within the species, R. nippon in Northeast Asia is regarded as the lineage that diverged most recently. However, the monophyly of the Japanese populations is unclear due to insufficient data about phylogenetic relationship of the western Japanese populations. To test the monophyly of the Japanese populations of R. nippon, we sampled R. nippon from western Japan and performed a phylogeographic analysis based on mitochondrial DNA cytochrome b and the D‐loop. The Northeast Asian lineage consisted of three main clades in eastern Japan (clade I), western Japan (clade II), and the continent as well as the Kumamoto population in westernmost Japan (clade III). The results of this study do not support the monophyly of the Japanese population. The findings suggest the “reverse colonization” of R. nippon from the Japanese Archipelago to the Eurasian continent, and provide important insight into the role of the island system in creation and supply of diversity to the continent.
Keywords: greater horseshoe bat, island biology, land bridge, phylogeny, reverse colonization
We performed a phylogeographic analysis of the Japanese greater horseshoe bat (Rhinolophus nippon) in Northeast Asia based on mitochondrial DNA cytochrome b and the D‐loop. The results revealed that the Japanese populations are not monophyletic, and the continental populations are imbedded within the Japanese population. The findings support the "reverse colonization" of R. nippon from the Japanese Archipelago to the Eurasian continent.

1. INTRODUCTION
The bat order Chiroptera (Mammalia) is the second most speciose order of mammals, consisting of at least 21 families, 230 genera, and 1401 species (Wilson & Mittermeier, 2019). It is distributed worldwide, including on various islands, but not in the polar regions. Evolutionary biological studies of organisms on islands—island biological studies—have focused on birds that evolved dramatically as the result of isolation and adaptive radiation to the island environment as represented by Darwin's finches (Burns et al., 2002; Harvey et al., 2021; Lack, 1945; Lamichhaney et al., 2016; Sato et al., 1999; Weir et al., 2009). Although bats are regular members of island ecosystems and adapted to island environments, they have been rarely focused in island biological research.
The greater horseshoe bat Rhinolophus ferrumequinum complex (Chiroptera: Rhinolophidae), which occurs throughout the Palearctic region, including many islands, had been considered a single species until recently (Csorba et al., 2003; Huston et al., 2019; Jo et al., 2018; Sano, 2015; Smith, 2008; Yoshiyuki, 1989). Based on molecular studies (Flanders et al., 2009, 2011; Koh et al., 2014; Rossiter et al., 2007), the European greater horseshoe bat R. ferrumequinum (Schreber, 1774) in the western Palearctic and the Japanese greater horseshoe bat R. nippon Temminck, 1835 in the eastern Palearctic became recognized as separate species (Burgin, 2019), which were subsequently diagnosed from each other and redescribed based on skull morphological characters (Ikeda, Jiang, et al., 2020). However, unresolved taxonomic problems remain for R. nippon populations in Northeast Asia, which includes northeastern China (Jilin and Liaoning provinces), the Korean Peninsula, the Japanese Archipelago, and peripheral islands.
The Japanese Archipelago is a biodiversity hotspot with many endemic species of various mammals including bats (Motokawa, 2015). In contrast, the distributions of several species of bats, including R. nippon, extend to the Eurasian continent. Many Japanese terrestrial animals are considered to have origin in the Eurasian continent and to have migrated through the Korean Peninsula (e.g., Tamate, 2015). When discussing the origins of Japanese terrestrial animals, phylogeographic patterns among populations in Japan and Northeast Asia are necessary to be clarified.
Flanders et al. (2011) reported that R. nippon populations in Northeast Asia (from Jilin Province and eastern Japan) diverged deeply from the parapatric populations in East China (Henan Province) and form a monophyletic group based on 1098 bp of the mitochondrial ND2 gene and 13 microsatellite loci. These data suggest that the Northeast Asian lineage diverged 400,000–600,000 years ago. Then, Liu et al. (2016) revealed that the Japanese populations form a monophyletic clade that diverged from the continental populations (from Jilin and Liaoning provinces and South Korea) more recently, based on mtDNA cytochrome b data. These two studies included Japanese samples only from eastern Honshu, and did not examine the western Japanese samples (western Honshu, Kyushu, and Shikoku islands). Honshu is the largest island in East Asia and several species showed unexpected divergence within the island (Motokawa, 2017). In fact, terrestrial animals in the Japanese Archipelago tend to be diverged two or more lineages in east and west. Therefore, we conducted molecular phylogeographic analyses of Northeast Asian R. nippon, including the western Japanese populations, to verify the monophyly of the Japanese populations.
2. MATERIALS AND METHODS
2.1. Specimens and sampling
Thirty‐two R. nippon specimens and one R. cornutus specimen were collected from seven localities in Japan: Ibaraki, Kyoto, Hyogo, and Yamaguchi on Honshu Island, Kagawa on Shikoku Island, and Fukuoka and Kumamoto on Kyushu Island (Figure 1). All specimens were deposited in the Zoological Collection of Kyoto University (KUZ M17251–KUZ M17283). To verify the consistency with Liu et al. (2016), we targeted the cytochrome b and the D‐loop mitochondrial DNA (mtDNA) regions; the latter has a high evolutionary rate and is suitable for intraspecific comparison. Thirty‐five sequences from eastern Japan (cytochrome b alleles by Sakai et al. [2003]), South Korea, and China deposited in GenBank and 20 sequences from Jilin (Ji'an and Liuhe) and Liaoning (Benxi) provinces reported by Liu et al. (2016) were included in the phylogenetic analyses (Table 1, Figure 1). In haplotype and nucleotide diversities and neutrality tests, the sequence data of Sakai et al. (2003) were treated as the actual number of individuals.
FIGURE 1.

Map of the Northeast Asian Rhinolophus nippon samples examined in this study. Colors of an object represent clades: blue, clade I; green, clade II; red, clade III. Circles represent samples collected in this study; Triangles, diamonds, and stars represent samples reported in Liu et al. (2016), Sakai et al. (2003) and deposited in GenBank, respectively
TABLE 1.
Characteristics of the samples examined in this study
| No. | ID | Accession | Haplotype | Clade | n | Country | Region | Locality | Latitude | Longitude | Altitude | Note | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| cyt b | D–loop | ||||||||||||
| 1 | KUZM17251 | LC605914 | LC605947 | H1‐1 | I | 1 | Japan | eastern Japan | Kyoto | 35.24 | 135.49 | 276 | – |
| 2 | KUZM17252 | LC605915 | LC605948 | H1‐1 | I | 1 | Japan | eastern Japan | Kyoto | 35.24 | 135.49 | 276 | – |
| 3 | KUZM17253 | LC605916 | LC605949 | H1‐1 | I | 1 | Japan | eastern Japan | Kyoto | 35.24 | 135.49 | 276 | – |
| 4 | KUZM17254 | LC605917 | LC605950 | H2‐1 | I | 1 | Japan | eastern Japan | Kyoto | 35.24 | 135.49 | 276 | – |
| 5 | KUZM17255 | LC605918 | LC605951 | H3‐1 | III | 1 | Japan | western Japan | Kumamoto | 32.22 | 130.82 | 150 | – |
| 6 | KUZM17256 | LC605919 | LC605952 | H4‐1 | III | 1 | Japan | western Japan | Kumamoto | 32.22 | 130.82 | 150 | – |
| 7 | KUZM17257 | LC605920 | LC605953 | H4‐1 | III | 1 | Japan | western Japan | Kumamoto | 32.22 | 130.82 | 150 | – |
| 8 | KUZM17258 | LC605921 | LC605954 | H4‐1 | III | 1 | Japan | western Japan | Kumamoto | 32.22 | 130.82 | 150 | – |
| 9 | KUZM17259 | LC605922 | LC605955 | H3‐2 | III | 1 | Japan | western Japan | Kumamoto | 32.41 | 130.87 | 289 | – |
| 10 | KUZM17260 | LC605923 | LC605956 | H3‐3 | III | 1 | Japan | western Japan | Kumamoto | 32.41 | 130.87 | 289 | – |
| 11 | KUZM17261 | LC605924 | LC605957 | H5‐1 | II | 1 | Japan | western Japan | Fukuoka | 33.79 | 130.94 | 321 | – |
| 12 | KUZM17262 | LC605925 | LC605958 | H5‐1 | II | 1 | Japan | western Japan | Fukuoka | 33.79 | 130.94 | 321 | – |
| 13 | KUZM17263 | LC605926 | LC605959 | H6‐1 | II | 1 | Japan | western Japan | Fukuoka | 33.79 | 130.94 | 321 | – |
| 14 | KUZM17264 | LC605927 | LC605960 | H6‐2 | II | 1 | Japan | western Japan | Fukuoka | 33.79 | 130.94 | 321 | – |
| 15 | KUZM17265 | LC605928 | LC605961 | H6‐3 | II | 1 | Japan | western Japan | Yamaguchi | 34.25 | 131.25 | 117 | – |
| 16 | KUZM17266 | LC605929 | LC605962 | H6‐4 | II | 1 | Japan | western Japan | Yamaguchi | 34.25 | 131.25 | 117 | – |
| 17 | KUZM17267 | LC605930 | LC605963 | H6‐3 | II | 1 | Japan | western Japan | Yamaguchi | 34.25 | 131.25 | 104 | – |
| 18 | KUZM17268 | LC605931 | LC605964 | H6‐3 | II | 1 | Japan | western Japan | Yamaguchi | 34.25 | 131.25 | 117 | – |
| 19 | KUZM17269 | LC605932 | LC605965 | H6‐3 | II | 1 | Japan | western Japan | Yamaguchi | 34.25 | 131.25 | 117 | – |
| 20 | KUZM17270 | LC605933 | LC605966 | H1‐2 | I | 1 | Japan | eastern Japan | Ibaraki | 36.42 | 140.37 | 90 | – |
| 21 | KUZM17271 | LC605934 | LC605967 | H1‐3 | I | 1 | Japan | eastern Japan | Ibaraki | 36.19 | 140.15 | 113 | – |
| 22 | KUZM17272 | LC605935 | LC605968 | H7‐1 | II | 1 | Japan | western Japan | Hyogo | 34.25 | 134.81 | 193 | – |
| 23 | KUZM17273 | LC605936 | LC605969 | H8‐1 | II | 1 | Japan | western Japan | Hyogo | 34.25 | 134.81 | 193 | – |
| 24 | KUZM17274 | LC605937 | LC605970 | H7‐1 | II | 1 | Japan | western Japan | Hyogo | 34.25 | 134.81 | 193 | – |
| 25 | KUZM17275 | LC605938 | LC605971 | H7‐1 | II | 1 | Japan | western Japan | Hyogo | 34.25 | 134.81 | 193 | – |
| 26 | KUZM17276 | LC605939 | LC605972 | H9‐1 | II | 1 | Japan | western Japan | Kagawa | 34.16 | 133.89 | 211 | – |
| 27 | KUZM17277 | LC605940 | LC605973 | H10‐1 | II | 1 | Japan | western Japan | Kagawa | 34.16 | 133.89 | 211 | – |
| 28 | KUZM17278 | LC605941 | LC605974 | H11‐1 | II | 1 | Japan | western Japan | Kagawa | 34.16 | 133.89 | 211 | – |
| 29 | KUZM17279 | LC605942 | LC605975 | H1‐4 | I | 1 | Japan | eastern Japan | Kyoto | 35.20 | 135.65 | – | – |
| 30 | KUZM17280 | LC605943 | LC605976 | H1‐5 | I | 1 | Japan | eastern Japan | Kyoto | 35.20 | 135.65 | – | – |
| 31 | KUZM17281 | LC605944 | LC605977 | H1‐6 | I | 1 | Japan | eastern Japan | Kyoto | 35.20 | 135.65 | – | – |
| 32 | KUZM17282 | LC605945 | LC605978 | H1‐1 | I | 1 | Japan | eastern Japan | Kyoto | 35.20 | 135.65 | – | – |
| 33 | – | JA1 | JA1 | H3‐4 | III | 1 | NE China | Jilin | Ji'an | 41.05 | 125.83 | – | Appendix data of Liu et al. (2016) |
| 34 | – | JA2 | JA2 | H3‐4 | III | 1 | NE China | Jilin | Ji'an | 41.05 | 125.83 | – | Appendix data of Liu et al. (2016) |
| 35 | – | JA3 | JA3 | H3‐4 | III | 1 | NE China | Jilin | Ji'an | 41.05 | 125.83 | – | Appendix data of Liu et al. (2016) |
| 36 | – | JA4 | JA4 | H3‐4 | III | 1 | NE China | Jilin | Ji'an | 41.05 | 125.83 | – | Appendix data of Liu et al. (2016) |
| 37 | – | JA6 | JA6 | H3‐4 | III | 1 | NE China | Jilin | Ji'an | 41.05 | 125.83 | – | Appendix data of Liu et al. (2016) |
| 38 | – | JA7 | JA7 | H3‐4 | III | 1 | NE China | Jilin | Ji'an | 41.05 | 125.83 | – | Appendix data of Liu et al. (2016) |
| 39 | – | JA8 | JA8 | H3‐4 | III | 1 | NE China | Jilin | Ji'an | 41.05 | 125.83 | – | Appendix data of Liu et al. (2016) |
| 40 | – | JA9 | JA9 | H3‐4 | III | 1 | NE China | Jilin | Ji'an | 41.05 | 125.83 | – | Appendix data of Liu et al. (2016) |
| 41 | – | JA11 | JA11 | H3‐4 | III | 1 | NE China | Jilin | Ji'an | 41.05 | 125.83 | – | Appendix data of Liu et al. (2016) |
| 42 | – | JA12 | JA12 | H3‐5 | III | 1 | NE China | Jilin | Ji'an | 41.05 | 125.83 | – | Appendix data of Liu et al. (2016) |
| 43 | – | JA13 | JA13 | H3‐4 | III | 1 | NE China | Jilin | Ji'an | 41.05 | 125.83 | – | Appendix data of Liu et al. (2016) |
| 44 | – | JA14 | JA14 | H3‐6 | III | 1 | NE China | Jilin | Ji'an | 41.05 | 125.83 | – | Appendix data of Liu et al. (2016) |
| 45 | – | JA15 | JA15 | H3‐6 | III | 1 | NE China | Jilin | Ji'an | 41.05 | 125.83 | – | Appendix data of Liu et al. (2016) |
| 46 | – | JA16 | JA16 | H3‐6 | III | 1 | NE China | Jilin | Ji'an | 41.05 | 125.83 | – | Appendix data of Liu et al. (2016) |
| 47 | – | LH1 | LH1 | H12‐1 | III | 1 | NE China | Jilin | Liuhe | 42.38 | 126.00 | – | Appendix data of Liu et al. (2016) |
| 48 | – | LH3 | LH3 | H3‐4 | III | 1 | NE China | Jilin | Liuhe | 42.38 | 126.00 | – | Appendix data of Liu et al. (2016) |
| 49 | – | LH4 | LH4 | H12‐1 | III | 1 | NE China | Jilin | Liuhe | 42.38 | 126.00 | – | Appendix data of Liu et al. (2016) |
| 50 | – | JN392460 | JN392460 | H3‐4 | III | 1 | South Korea | Korean Peninsula | Gangwon | – | – | – | complete genome |
| 51 | – | JX084273 | JX084273 | H3‐4 | III | 1 | South Korea | Jeju | Jeju | – | – | – | complete genome |
| 52 | – | NC020326 | NC020326 | H3‐4 | III | 1 | South Korea | Jeju | Jeju | – | – | – | complete genome |
| 53 | – | NC016191 | NC016191 | H3‐4 | III | 1 | South Korea | Korean Peninsula | Gangwon | – | – | – | complete genome |
| 54 | – | KT779432 | KT779432 | H3‐5 | III | 1 | NE China | Jilin | – | – | – | – | complete genome |
| 55 | – | KT783534 | KT783534 | H36 | SW China | 1 | SW China | Yunnan | – | – | – | – | complete genome |
| 56 | – | BX11 | – | H3 | III | 1 | NE China | Liaoning | Benxi | 41.38 | 124.95 | – | Appendix data of Liu et al. (2016) |
| 57 | – | BX12 | – | H3 | III | 1 | NE China | Liaoning | Benxi | 41.38 | 124.95 | – | Appendix data of Liu et al. (2016) |
| 58 | – | BX13 | – | H3 | III | 1 | NE China | Liaoning | Benxi | 41.38 | 124.95 | – | Appendix data of Liu et al. (2016) |
| 59 | – | KP063140 | – | H13 | III | 1 | South Korea | Jeju | Jeju | – | – | – | – |
| 60 | – | KP063141 | – | H14 | III | 1 | South Korea | Jeju | Jeju | – | – | – | – |
| 61 | – | KP063142 | – | H15 | III | 1 | South Korea | Jeju | Jeju | – | – | – | – |
| 62 | – | KP063143 | – | H16 | III | 1 | South Korea | Korean Peninsula | Jeonbuk | – | – | – | – |
| 63 | – | KP063144 | – | H17 | III | 1 | South Korea | Korean Peninsula | Chungbuk | – | – | – | – |
| 64 | – | KP063145 | – | H18 | III | 1 | South Korea | Korean Peninsula | Chungbuk | – | – | – | – |
| 65 | – | KP063146 | – | H3 | III | 1 | South Korea | Korean Peninsula | Gangwon | – | – | – | – |
| 66 | – | AB085721 | – | H1 | I | 33 | Japan | *1 | *1 | – | – | – | "Allele A" |
| 67 | – | AB085722 | – | H19 | I | 11 | Japan | *1 | *1 | – | – | – | "Allele B" |
| 68 | – | AB085723 | – | H6 | II | 5 | Japan | *1 | *1 | – | – | – | "Allele C" |
| 69 | – | AB085724 | – | H20 | I | 4 | Japan | *1 | *1 | – | – | – | "Allele D" |
| 70 | – | AB085725 | – | H21 | I | 2 | Japan | *1 | *1 | – | – | – | "Allele E" |
| 71 | – | AB085726 | – | H22 | I | 2 | Japan | *1 | *1 | – | – | – | "Allele F" |
| 72 | – | AB085727 | – | H23 | I | 1 | Japan | *1 | *1 | – | – | – | "Allele G" |
| 73 | – | AB085728 | – | H24 | I | 1 | Japan | *1 | *1 | – | – | – | "Allele H" |
| 74 | – | AB085729 | – | H25 | I | 1 | Japan | *1 | *1 | – | – | – | "Allele I" |
| 75 | – | AB085730 | – | H26 | I | 1 | Japan | *1 | *1 | – | – | – | "Allele J" |
| 76 | – | AB085731 | – | H27 | I | 1 | Japan | *1 | *1 | – | – | – | "Allele K" |
| 77 | – | EF544400 | – | H28 | CE China | 1 | CE China | Henan | – | – | – | – | – |
| 78 | – | EF544401 | – | H29 | CE China | 1 | CE China | Henan | – | – | – | – | – |
| 79 | – | EF544406 | – | H30 | CE China | 1 | CE China | Henan | – | – | – | – | – |
| 80 | – | EF544408 | – | H31 | CE China | 1 | CE China | Henan | – | – | – | – | – |
| 81 | – | EF544409 | – | H32 | CE China | 1 | CE China | Henan | – | – | – | – | – |
| 82 | – | EF544417 | – | H33 | CE China | 1 | CE China | Henan | – | – | – | – | – |
| 83 | – | EU434935 | – | H3 | III | 1 | NE China | Jilin | – | – | – | – | – |
| 84 | – | EU434936 | – | H34 | SW China | 1 | SW China | Yunnan | – | – | – | – | – |
| 85 | – | DQ297575 | – | H35 | SW China | 1 | SW China | Yunnan | – | – | – | – | – |
| 86 | – | DQ351847 | – | H3 | III | 1 | NE China | Jilin | – | – | – | – | – |
| 87 | – | DQ351848 | – | H35 | SW China | 1 | SW China | Yunnan | – | – | – | – | – |
| 88 | KUZM17283 | LC605946 | LC605979 | outgroup | outgroup | 1 | Japan | eastern Japan | Kyoto | 35.24 | 135.49 | 276 | – |
Abbreviations: CE, central eastern; NE, northeastern; SW, southwestern.
*1 was listed in Table 2.
2.2. DNA extraction, polymerase chain reaction, and sequencing
Genomic DNA was extracted from bat liver tissues preserved in 99% ethanol using the DNeasy Blood & Tissue Kit (Qiagen). MtDNA fragments from the cytochrome b and the D‐loop regions were amplified by polymerase chain reaction (PCR) using the newly designed primer pairs RhGluL1 (5'‐AAT CAC CGT TGT ATT TCA AC‐3’) and RhThrH1 (5'‐CTT TTC TGG TTT ACA AGA CC‐3’) for cytochrome b, and the universal primer pairs P and E for the D‐loop (Wilkinson & Chapman, 1991). RhGluL1 and RhThrH1 were designed with reference to the complete mitochondrial genome sequence of R. ferrumequinum (KT779432; Xiao et al., 2017). PCR amplifications were performed in a 12.5 µl reaction volume using an Ex Taq Kit (TaKaRa Bio) and a PCR Thermal Cycler Dice Gradient (TaKaRa Bio), with the following program: an initial denaturing step at 94.0℃ for 5 min; 35 cycles of denaturing at 64.0℃ for 30 s, annealing at 54.5℃ for 30 s, and extension at 72.0℃ for 1 min; and a final extension step at 72.0℃ for 7 min. The PCR products were purified using ExoSAP–IT Express PCR Product Cleanup Reagent (Thermo Fisher Scientific K.K.), and the purified products were sequenced by Macrogen Japan Co.
The sequences were edited and trimmed using GAP 4 (Staden et al., 2003), and aligned using ClustalW (Thompson et al., 1994) in MEGA X version 10.1.8 (Kumar et al., 2018). The sequences were then assembled by eye.
2.3. Phylogenetic analysis
A concatenated dataset comprising the cytochrome b and the D‐loop fragments was used to estimate the phylogeography of R. nippon. The D‐loop sequences of individuals with only the cytochrome b sequence (e.g., AB085721–AB085731, Table 1) were treated as missing data. The dataset was partitioned into four parts based on the codon evolutionary rates in cytochrome b and the relatively rapid rate in the D‐loop: the first, second, and third triplet positions of cytochrome b; and the D‐loop. The haplotype diversity (h) and nucleotide diversity (π) of the cytochrome b and the D‐loop were calculated in DnaSP version 6.12.03 (Rozas et al., 2017).
To assess the divergence times of R. nippon in Northeast Asia, a time‐calibrated phylogenetic tree of the cytochrome b and the D‐loop was estimated by Bayesian inference (BI) in BEAST version 2.6.3 (Bouckaert et al., 2019). BI was based on a partitioned substitution model (K80 for the first, HKY+I for the second, TRN for the third triplet positions of cytochrome b, and HKY+G for the D‐loop) selected by the Bayesian information criterion and performed with PartitionFinder version 2.1.1 (Lanfear et al., 2017). BI was run with four Markov Chain Monte Carlo analyses with 100,000,000 iterations and sampling every 50,000 states. Substitution rates of 1.3% per million years for cytochrome b (Liu et al., 2016) and 20% for the D‐loop (Kimprasit et al., 2021; Petit et al., 1999), and a generation time of 2 years (Flanders et al., 2009) were used. As a tree prior, the coalescent constant population and strict molecular clock models, and default settings for all other parameters, were selected. The convergence of the runs and the effective sample size was checked in Tracer version 1.7.1 (Rambaut et al., 2018). A consensus tree and posterior probability (PP) were calculated in TreeAnnotator version 2.6.3 (part of the BEAST package) using the maximum clade credibility tree and median heights. The initial 10% of runs was discarded as burn‐in. R. cornutus (cytochrome b, LC605946; D‐loop, LC605979) was used as the outgroup for the BI analyses. A time‐calibrated phylogenetic tree was visualized in FigTree version 1.4.4 (https://github.com/rambaut/figtree/releases), and individuals were gathered into unique haplotypes.
To seek evidence of population growth based on the cytochrome b sequences, Tajima's D (Tajima, 1989) and Fu's F s (Fu, 1997) were tested with 10,000 coalescent simulations in Arlequin version 3.5.2.2 (Schneider et al., 2000). In addition, a median‐joining method (Bandelt et al., 1999) was implemented in NETWORK version 10.2.0.0 (Fluxus Technology, http://www. fluxus‐engineering.com) to construct the maximum parsimony networks of cytochrome b and the D‐loop, respectively. The Marine Isotope Stages (MIS) and substages in the following text are based on Oba and Irino (2012).
3. RESULTS
3.1. Sequencing and haplotypes
First, 1140 bp of cytochrome b and 465 bp of the D‐loop were sequenced for all 33 R. nippon and one R. cornutus samples. The sequence data were deposited in GenBank (accession nos. LC605914–LC605946 for cytochrome b, LC605947–LC605979 for D‐loop). We incorporated the sequence data from GenBank and a previous study, resulting in the analysis of data from a total of 88 sequences (Table 1). In the analyzed cytochrome b and D‐loop fragments, 146 and 68 polymorphic sites were detected, and 66 and 33 were parsimony informative, respectively. In Northeast Asia, the nucleotide diversity (π) of the total of 74 sequences based on the cytochrome b was 0.00191 (±0.00012), and the diversity of all 27 haplotypes (h) was 0.827 (±0.023). The nucleotide diversity of the total of 55 sequences based on the D‐loop was 0.02036 (±0.00308), and the diversity of all 23 haplotypes was 0.890 (±0.034). We joined cytochrome b haplotype and D‐loop haplotype as shown in “Haplotype” column in Table 1. For example, “H3‐2” denotes cytochrome b haplotype No. 3 and D‐loop haplotype No. 2; “H3” has only cytochrome b haplotype No. 3 (lacked the D‐loop). Twenty‐one haplotypes were identified from 32 individuals of R. nippon newly sequenced in this study. Four haplotypes (H3‐1, H3‐2, H3‐3, and H4‐1) were found in Kumamoto (Kyushu Island): H3 was also found in South Korea and northeastern China (H3, H3‐4, H3‐5, and H3‐6), whereas H4 was unique to Kumamoto. H1 was shared between Kyoto and Ibaraki (H1‐1, H1‐2, H1‐3, H1‐4, J1‐5, and H1‐6), and was consistent with AB085721 (n = 33; H3) widely collected from eastern Japan by Sakai et al. (2003). H6 was shared between Fukuoka and Yamaguchi (H6‐1, H6‐2, H6‐3, and H6‐4), and was consistent with AB085723 (n = 5). AB085723 were collected from Miyazaki, Aichi, and Shizuoka (Table 2, Figure 1). The other haplotypes were regarded unique to Kyoto (H2‐1), Fukuoka (H5‐1), Hyogo (H7‐1 and H8‐1), and Kagawa (H9‐1, H10‐1, and H11‐1), respectively.
TABLE 2.
Detail information of sequences examined by Sakai et al. (2003)
| No. | Accession | Haplotype | Region | Locality | City | n |
|---|---|---|---|---|---|---|
| 66 | AB085721 | H1 | eastern Japan | Miyagi | Kashimadai | 1 |
| 66 | AB085721 | H1 | eastern Japan | Miyagi | Sendai | 4 |
| 66 | AB085721 | H1 | eastern Japan | Gunma | Matsuida | 4 |
| 66 | AB085721 | H1 | eastern Japan | Tokyo | Okutama | 1 |
| 66 | AB085721 | H1 | eastern Japan | Tokyo | Oshima | 2 |
| 66 | AB085721 | H1 | eastern Japan | Yamanashi | Fuhinomiya | 2 |
| 66 | AB085721 | H1 | eastern Japan | Shizuoka | Matsuzaki | 5 |
| 66 | AB085721 | H1 | eastern Japan | Shizuoka | Shizuoka | 2 |
| 66 | AB085721 | H1 | eastern Japan | Shizuoka | Tenryu | 1 |
| 66 | AB085721 | H1 | eastern Japan | Niigata | Kashiwazaki | 1 |
| 66 | AB085721 | H1 | eastern Japan | Toyama | Toyama | 3 |
| 66 | AB085721 | H1 | eastern Japan | Ishikawa | Oguchi | 4 |
| 66 | AB085721 | H1 | eastern Japan | Shiga | Taga | 1 |
| 66 | AB085721 | H1 | eastern Japan | Fukui | Ohno | 1 |
| 66 | AB085721 | H1 | western Japan | Nagasaki | Tsushima | 1 |
| 67 | AB085722 | H19 | eastern Japan | Tokyo | Oshima | 11 |
| 68 | AB085723 | H6 | eastern Japan | Shizuoka | Tenryu | 2 |
| 68 | AB085723 | H6 | eastern Japan | Aichi | Toyohashi | 1 |
| 68 | AB085723 | H6 | western Japan | Miyazaki | Miyazaki | 2 |
| 69 | AB085724 | H20 | eastern Japan | Shiga | Taga | 4 |
| 70 | AB085725 | H21 | eastern Japan | Miyagi | Kashimadai | 2 |
| 71 | AB085726 | H22 | eastern Japan | Shizuoka | Tenryu | 2 |
| 72 | AB085727 | H23 | eastern Japan | Toyama | Toyama | 1 |
| 73 | AB085728 | H24 | eastern Japan | Aichi | Toyohashi | 1 |
| 74 | AB085729 | H25 | eastern Japan | Miyagi | Kashimadai | 1 |
| 75 | AB085730 | H26 | eastern Japan | Fukui | Ohno | 1 |
| 76 | AB085731 | H27 | eastern Japan | Miyagi | Kashimadai | 1 |
Abbreviations: n, number of individuals.
3.2. Time‐calibrated phylogeny in Northeast Asia, determined using cytochrome b and the D‐loop
Phylogenetic reconstructions of the BI analyses based on 1605 bp of cytochrome b and the D‐loop produced time‐calibrated trees (Figure 2). The monophyly of the Northeast Asian lineage (Figure 2, brown square) was supported by high PP values (1.000). Three clades were supported by high PP values (1.000 for clade I, 0.988 for clades II and III, 0.978 for clade II, 0.961 for clade III). Clade I (Figure 2, blue bar) consisted of individuals from eastern Japan including Kyoto and Ibaraki. Clade II (Figure 2, green bar) consisted of individuals from western Japan including Hyogo, Kagawa, Yamaguchi, and Fukuoka. Clade III (Figure 2, red bar) consisted of individuals from the continent and southern Kyushu including Kumamoto. Two cytochrome b and 14 D‐loop mutational steps were found between clade I and clades II and III (Figure 3, between H1‐5 and H3‐6), and at least one cytochrome b and six D‐loop mutational steps were found between clade II and clade III (Figure 3, between H3‐6 and H6‐4).
FIGURE 2.

A time‐calibrated phylogenetic tree constructed using Bayesian inference (BI) method based on cytochrome b and the D‐loop. A number along each branch is posterior probability based on BI. Blue horizontal bars on nodes indicate 95% HPD intervals for node heights. Branches with posterior probabilities >0.95 are shown as bold lines. Identified haplotypes are listed in Table 1
FIGURE 3.

Median‐joining networks based on the mitochondrial cytochrome b (upper left) and the D‐loop (middle). Circle size represents haplotype frequency. Identified haplotypes are listed in Table 1
The time‐calibrated phylogeny indicates that R. nippon in Northeast Asia has experienced at least two divergences after split from Central and East China lineage in 457,700 years ago (320,900–606,400). These divergences are estimated to have occurred during the last two glacial periods [MIS 2.2 (20,000 year ago) and MIS 6.2 (140,000 years ago)] and the interglacial cycles. The divergence between clade I and clades II and III occurred in 142,900 years ago (89,700–200,400 years ago), during the second most recent glaciation in MIS 6.2 and subsequent interglacial periods (MISs 5.2–6.4). The divergence between clade II and clade III occurred in 81,600 years ago (47,300–120,400 years ago), the interglacial period during the last two glacial maxima (MISs 3.0–5.5).
3.3. Haplotype network and demographic analysis in Northeast Asia
The obtained median‐joining networks of the cytochrome b (Figure 3, upper left) and the cytochrome b and the D‐loop (Figure 3) for the samples from Northeast Asia were concordant with the time‐calibrated tree (Figure 2). The cytochrome b and the D‐loop‐based network (Figure 3) had three subnetworks corresponding to clade I (blue), clade II (green), and clade III (red).
The haplotype and nucleotide diversities were used to interpret the population's demographic history (Grant & Bowen, 1998). Haplotype and nucleotide diversities based on the D‐loop were high in every clade (h > 0.5, π > 0.005) because of the high evolutionary rate. By contrast, the haplotype and nucleotide diversities based on cytochrome b differed among clades (Table 3). Northeast Asia lineage, clade I, and clade II showed high haplotype diversity and low nucleotide diversity (h = 0.827, π = 0.00191 for Northeast Asia; h = 0.582, π = 0.00070 for clade I; h = 0.667, π = 0.00117 for clade II), suggesting rapid growth and the accumulation of mutations after a bottleneck (Grant & Bowen, 1998). Clade III had low haplotype and nucleotide diversities (h = 0.474, π = 0.00068), suggesting the recent occurrence of a bottleneck or founder event (Grant & Bowen, 1998). Tajima's D test yielded significant negative values for Northeast Asia, clade I, and clade III (D = −1.69842, p = .017 for Northeast Asia; D = −1.53190, p = .037 for clade I; D = −1.99359, p = .007 for clade III), suggesting population expansion. Tajima's D value of clade II was not significant (D = −1.33113, p = .087). Fu's F s test also yielded significant negative values for all clades (F s = −27.07348, p < .001 for Northeast Asia; F s = −18.91700, p < .001 for clade I; F s = −8.40300, p < .001 for clade II; F s = −17.83900, p < .001 for clade III), suggesting population expansion (Table 3).
TABLE 3.
Genetic diversity and the neutrality tests of Rhinolophus nippon in Northeast Asia based on mitochondrial cytochrome b
| Clade | n | nh | π | h | D | p | FS | p |
|---|---|---|---|---|---|---|---|---|
| Northeast Asia | 128 | 27 | 0.00191 | 0.827 | −1.69842 | .017 | −27.07348 | <.001 |
| Clade I | 67 | 11 | 0.00070 | 0.582 | −1.53190 | .037 | −18.91700 | <.001 |
| Clade II | 21 | 7 | 0.00117 | 0.667 | −1.33113 | .087 | −8.40300 | <.001 |
| Clade III | 40 | 9 | 0.00068 | 0.474 | −1.99359 | .007 | −17.83900 | <.001 |
Abbreviations: D, Tajima's D; F s, Fu's F s; h, haplotype diversity; n, number of individuals; nh, number of haplotypes; p, p value; π, nucleotide diversity.
4. DISCUSSION
Our findings support the monophyly of the Northeast Asian lineage of R. nippon, and it is consistent with previous studies. Moreover, our estimated divergence time for this lineage (320,900–606,400 years ago) was stricter than that of Liu et al. (2016; 220,000–870,000 years ago). This estimate indicates that R. nippon in Northeast Asia diverged from other East Asian populations in the middle Pleistocene, termed the Chibanian (Cohen et al., 2020) by the International Union of Geological Sciences. The Chibanian (126,000–770,000 years ago) extended from the last geomagnetic reversal to MIS 5 (Dahl‐Jensen et al., 2013).
The Northeast Asian lineage is the most recently diverged lineage of R. nippon (Flanders et al., 2011; Liu et al., 2016; Rossiter et al., 2007) in the middle Pleistocene (about 430,000 years ago). Rossiter et al. (2007) suggested that the Japanese population experienced genetic isolation and/or founder effects associated with island effects. The results of genetic diversity and the neutrality tests of the Northeast Asian lineage support the occurrence of bottleneck or founder effects associated with the migration of the Northeast Asian ancestors to the Japanese Archipelago, and subsequent population expansion. Within the Northeast Asian lineage, the results of genetic diversity indicates that clade III (the continental and southern Kyushu populations) experienced bottle neck and founder effect more recently than clade I (the eastern Japanese populations) and clade II (the western Japanese populations). The results of neutrality tests indicate all three clades are expanding; however, values of clade II are relatively low. It suggests that the population expansion of clade II is more gentle than other clades. Therefore, in Northeast Asian lineage, it suggests that clade II is the most stable populations, and clade III is the most recently diverged populations.
Flanders et al. (2009) and Liu et al. (2016) suggested that the Japanese populations of R. nippon were monophyletic clades of the Northeast Asian lineage. Our results, however, elucidate the complex paraphyletic relationships of the Japanese populations. In agreement with Flanders et al. (2009) and Liu et al. (2016), the population from eastern Honshu (the westernmost population is Kyoto) supported monophyly, with clade I as a sister clade to the other Northeast Asian samples. Populations in western Honshu, northern Kyushu, and Shikoku (Hyogo, Yamaguchi, Fukuoka, and Kagawa) form clade II, and those in Kumamoto (southern Kyushu), Jeju, the Korean Peninsula, and northeastern China form clade III. These findings suggest that the Japanese populations are not monophyly.
When continental lineages are imbedded within clades restricted to islands or archipelagos, one can infer “reverse colonization” as the most likely scenario (Bellemain & Ricklefs, 2008). We found that continental clade III is imbedded within Japanese Archipelago clades I and II, suggesting reverse colonization from the Japanese Archipelago to the Eurasian continent. Reverse colonization generates biodiversity and promotes the assembly of continental biota (Patiño et al., 2017). In the Japanese Archipelago, the alpine plant Primula cuneifolia recolonized northward to the Kamchatka Peninsula and Alaska after divergence in the less‐glaciated mountains in Japan at the LGM, suggesting that the Japanese Archipelago plays important roles in the diversity and distribution of alpine plants in the northern Pacific region (Ikeda, Yakubov, et al., 2020). Our findings support reverse colonization of bats from the Japanese Archipelago to the continent via the Korean Peninsula (Figure 4). It is certain that the R. nippon bats flew across between the Japanese Archipelago and the continent. After the last emergence of the land bridge between the Korean Peninsula and the Japanese Archipelago in the middle Pleistocene, the level of the Japan Sea in the glacial periods (MISs 2.2 and 6.2) was 90–100 m lower than in the present, and the Korean Strait width was about one‐third of the present 120 km (Oba & Irino, 2012). The sister species R. ferrumequinum can fly up to 30 km between summer roosts and hibernacula (Dietz et al., 2009), and R. nippon in Kyushu recorded the distance 130 km (Sano, 2015). Therefore, R. nippon seems to be able to fly over the narrow, shallow Korean Strait during a glacial period.
FIGURE 4.

The migration history of Rhinolophus nippon in Northeast Asia proposed in this study. Elevation was mapped in grayscale
We estimated that clade I in eastern Honshu and clade II in western Honshu bordered in Kinki District (Figure 1). Such a phylogeographic pattern of divergence between eastern and western Honshu is also seen in some Japanese middle and large mammals, such as the sika deer Cervus nippon (Ba et al., 2015; Nagata et al., 1999; Yamada et al., 2007), the Asian black bear Ursus thibetanus (Ohnishi et al., 2009), and the Japanese macaque Macaca fuscata (Kawamoto et al., 2007). Two hypotheses have been proposed to explain the distribution boundary for Japanese middle and large mammals in Kinki district: the multiple‐colonization hypothesis and the refugia hypotheses (Tamate, 2015). Rhinolophus Nippon is not distributed along the coast of Far East Russia, the multiple‐colonization hypothesis assuming multiple migrations into the Japanese Archipelago via Korean Peninsula and Sakhalin Island is not applicable. In the refugia hypothesis, organisms evacuated to relatively warm refugia in glacial periods (Bennett & Provan, 2008; Haffer, 1969). In Japan, the southern coasts of Honshu and Shikoku, southern Kyushu, and the southern peripheral islands are considered to have been refugia for plants and animals (Iwasaki et al., 2012; Tamate, 2015; Yamada et al., 2021; Figure 4). We propose that the common ancestor of the Northeast Asian R. nippon was separated into two or more refugia located in the Japanese Archipelago (Figure 4), suggesting that the refugia hypothesis is applicable to R. nippon. Moreover, flight dispersal is a crucial difference between bats and other mammals. This difference might enable the reverse colonization from the Japanese Archipelago to the continent. Many terrestrial animals colonized Japan across the land bridge during the glacial periods MIS 16 and 12 (Aimi, 2002; Ba et al., 2015; Dobson & Kawamura, 1998; Millien‐Parra & Jaeger, 1999), and became endemic species. After that, the land bridge had not reappeared, and the Korean Strait prevents the swimming dispersal of terrestrial animals. In contrary, we suggest that bats were able to fly over the strait.
In this study, we targeted the mtDNA cytochrome b and D‐loop and revealed that the Japanese populations are paraphyletic and split into three clades. To understand such complicated evolutionary history with revealing demographic and historical background of R. nippon in Northeast Asia, phylogenetic and population genetic analyses based on other mtDNA and nuclear markers are needed. Additional samples from Tsushima Island are also expected, as Tsushima is located between the Japanese Archipelago and the Korean Peninsula, and close to the Korean Strait. As well Sakai et al. (2003) analyzed mtDNA cytochrome b of one individual from Tsushima, which shared a haplotype with the eastern Japan population (AB085721, H1). In Northeast Asia, many phylogeographic studies have been conducted for terrestrial animals, but never for bats which have the unique flight dispersal ability (Sato, 2017). Most organisms migrated in the Japanese Archipelago were adapted to the unique island environment, and became the endemic species. On the other hand, our results indicated that the Japanese populations of R. nippon would have reverse‐colonized to the continent. There are several other bat species having a distribution area in Northeast Asia similar to R. nippon. Future studies for demographic and historical background of these bats might bring us the answer why various species can inhabit in Northeast Asia, and propose a new concept that a portion of the biodiversity of Northeast Asian animals was created in the Japanese Archipelago and subsequently returned back to the continent as “reverse colonization.”
5. CONCLUSIONS
Northeast Asian lineage of R. nippon has experienced two divergences at least after the middle Pleistocene. The Japanese populations consist with three main clades and not monophyletic; the continental populations are embedded into one of the clades. Our result suggests that the most likely scenario for Northeast Asian R. nippon involves reverse colonization from the Japanese Archipelago to the continent. The population transition of R. nippon within the Japanese Archipelago is consistent with patterns observed for middle and large terrestrial mammals.
CONFLICT OF INTEREST
The authors declare that they have no conflict of interest.
AUTHOR CONTRIBUTION
Yugo Ikeda: Conceptualization (equal); Data curation (equal); Formal analysis (equal); Investigation (equal); Methodology (equal); Project administration (equal); Resources (equal); Validation (equal); Visualization (lead); Writing – original draft (equal); Writing – review & editing (equal). Masaharu Motokawa: Conceptualization (equal); Funding acquisition (equal); Project administration (equal); Visualization (supporting); Writing – review & editing (equal).
ACKNOWLEDGMENTS
The authors are grateful to T. Okamoto and T. Nakano for their support on the research. They thank U. Matsushita, D. Fukui, M. Ishida, S. Yachimori, S. Yasui, T. Kamijo, T. Maki, G. Kokubugata, S. Kawada, and T. Teshiba for their kind help in collecting samples. They also thank T. Satoh, G. Kinoshita, T. Makino, and S. Okabe for their technical advice. This study was partly granted by JSPS Kakenhi grant JP18H03602.
Ikeda, Y. , & Motokawa, M. (2021). Phylogeography of the Japanese greater horseshoe bat Rhinolophus nippon (Mammalia: Chiroptera) in Northeast Asia: New insight into the monophyly of the Japanese populations. Ecology and Evolution, 11, 18181–18195. 10.1002/ece3.8414
DATA AVAILABILITY STATEMENT
All sequences newly added on this study are usable in GenBank under accession numbers LC605914–LC605979.
REFERENCES
- Aimi, M. (2002). The oldest fossil macaque from Japan (in Japanese with English summary). Primate Research, 18, 239–245. 10.2354/psj.18.239 [DOI] [Google Scholar]
- Ba, H. , Yang, F. , Xing, X. , & Li, C. (2015). Classification and phylogeny of sika deer (Cervus nippon) subspecies based on the mitochondrial control region DNA sequence using an extended sample set. Mitochondrial DNA, 26(3), 373–379. 10.3109/19401736.2013.836509 [DOI] [PubMed] [Google Scholar]
- Bandelt, H.‐J. , Forster, P. , & Röhl, A. (1999). Median‐joining networks for inferring intraspecific phylogenies. Molecular Biology and Evolution, 16(1), 37–48. 10.1007/978-94-009-1207-6_2 [DOI] [PubMed] [Google Scholar]
- Bellemain, E. , & Ricklefs, R. E. (2008). Are islands the end of the colonization road? Trends in Ecology and Evolution, 23(8), 461–468. 10.1016/j.tree.2008.05.001 [DOI] [PubMed] [Google Scholar]
- Bennett, K. D. , & Provan, J. (2008). What do we mean by “refugia”? Quaternary Science Reviews, 27(27–28), 2449–2455. 10.1016/j.quascirev.2008.08.019 [DOI] [Google Scholar]
- Bouckaert, R. , Vaughan, T. G. , Barido‐Sottani, J. , Duchêne, S. , Fourment, M. , Gavryushkina, A. , Heled, J. , Jones, G. , Kühnert, D. , De Maio, N. , Matschiner, M. , Mendes, F. K. , Müller, N. F. , Ogilvie, H. A. , du Plessis, L. , Popinga, A. , Rambaut, A. , Rasmussen, D. , Siveroni, I. , … Drummond, A. J. (2019). BEAST 2.5: An advanced software platform for Bayesian evolutionary analysis. PLoS Computational Biology, 15(4), 1–28. 10.1371/journal.pcbi.1006650 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Burgin, C. J. (2019). Species accounts of Rhinolophidae. In Wilson D. E. & Mittermeier R. A. (Eds.), Handbook of the mammals of the world: Bats, Vol. 9 (pp. 280–332). Lynx Editions. [Google Scholar]
- Burns, K. J. , Hackett, S. J. , & Klein, N. K. (2002). Phylogenetic Relationships and Morphological Diversity in Darwin’s Finches and Their Relatives. Evolution, 56(6), 1240–1252. 10.1554/0014-3820(2002)056005B1240:PRAMDI005D2.0.CO;2 [DOI] [PubMed] [Google Scholar]
- Cohen, K. M. , Finney, S. C. , Gibbard, P. L. , & Fan, J. X. (2020). International Chronostratigraphic chart. International Commission on Stratigraphy. https://stratigraphy.org/ICSchart/ChronostratChart2020‐01.pdf [Google Scholar]
- Csorba, G. , Ujhelyi, P. , & Thomas, N. (2003). Horseshoe Bats of the World: (Chiroptera: Rhinolophidae). Alana Books. [Google Scholar]
- Dahl‐Jensen, D. , Albert, M. R. , Aldahan, A. , Azuma, N. , Balslev‐Clausen, D. , Baumgartner, M. , Berggren, A.‐M. , Bigler, M. , Binder, T. , Blunier, T. , Bourgeois, J. C. , Brook, E. J. , Buchardt, S. L. , Buizert, C. , Capron, E. , Chappellaz, J. , Chung, J. , Clausen, H. B. , Cvijanovic, I. , … Zheng, J. (2013). Eemian interglacial reconstructed from a Greenland folded ice core. Nature, 493, 489–494. 10.1038/nature11789 [DOI] [PubMed] [Google Scholar]
- Dietz, C. , Von Helversen, O. , & Nill, D. (2009). Bats of Britain, Europe & Northwest Africa (pp. 400). A&C Black. [Google Scholar]
- Dobson, M. , & Kawamura, Y. (1998). Origin of the Japanese land mammal fauna: Allocation of extant species to historically‐based categories. The Quaternary Research (Daiyonki‐Kenkyu), 37(5), 385–395. 10.4116/jaqua.37.385 [DOI] [Google Scholar]
- Flanders, J. , Jones, G. , Benda, P. , Dietz, C. , Zhang, S. , Li, G. , Sharifi, M. , & Rossiter, S. J. (2009). Phylogeography of the greater horseshoe bat, Rhinolophus ferrumequinum: Contrasting results from mitochondrial and microsatellite data. Molecular Ecology, 18(2), 306–318. 10.1111/j.1365-294X.2008.04021.x [DOI] [PubMed] [Google Scholar]
- Flanders, J. , Wei, L. , Rossiter, S. J. , & Zhang, S. (2011). Identifying the effects of the Pleistocene on the greater horseshoe bat, Rhinolophus ferrumequinum, in East Asia using ecological niche modelling and phylogenetic analyses. Journal of Biogeography, 38(3), 439–452. 10.1111/j.1365-2699.2010.02411.x [DOI] [Google Scholar]
- Fu, Y. X. (1997). Statistical tests of neutrality of mutations against population growth, hitchhiking and background selection. Genetics, 147(2), 915–925. 10.1093/genetics/147.2.915 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Grant, W. S. , & Bowen, B. W. (1998). Shallow population histories in deep evolutionary lineages of marine fishes: Insights from sardines and anchovies and lessons for conservation. The Journal of Heredity, 89(5), 415–426. 10.1093/jhered/89.5.415 [DOI] [Google Scholar]
- Haffer, J. (1969). Speciation in Amazonian forest birds. Science, 165(3889), 131–138. [DOI] [PubMed] [Google Scholar]
- Harvey, J. A. , Chernicky, K. , Simons, S. R. , Verrett, T. B. , Chaves, J. A. , & Knutie, S. A. (2021). Urban living influences the reproductive success of Darwin’s finches in the Galápagos Islands. Ecology and Evolution, 00, 1–11. 10.1101/2020.07.08.193623 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Huston, A. M. , Rossiter, S. J. , & Csorba, G. (2019). Family Rhinolophidae (horseshoe bats). In Wilson D. E. & Mittermeier R. A. (Eds.), Handbook of the mammals of the world: Bats, Vol. 9 (pp. 260–279). Lynx Editions. [Google Scholar]
- Ikeda, Y. , Jiang, T. , Oh, H. , Csorba, G. , & Motokawa, M. (2020). Geographic variations of skull morphology in the Rhinolophus ferrumequinum species complex (Mammalia: Chiroptera). Zoologischer Anzeiger, 288, 125–138. 10.1016/j.jcz.2020.08.004 [DOI] [Google Scholar]
- Ikeda, H. , Yakubov, V. , Barkalov, V. , Sato, K. , & Fujii, N. (2020). East Asian origin of the widespread alpine snow‐bed herb, Primula cuneifolia (Primulaceae), in the northern Pacific region. Journal of Biogeography, 47(10), 2181–2193. 10.1111/jbi.13918 [DOI] [Google Scholar]
- Iwasaki, T. , Aoki, K. , Seo, A. , & Murakami, N. (2012). Comparative phylogeography of four component species of deciduous broad‐leaved forests in Japan based on chloroplast DNA variation. Journal of Plant Research, 125(2), 207–221. 10.1007/s10265-011-0428-8 [DOI] [PubMed] [Google Scholar]
- Jo, Y. S. , Baccus, J. T. , & Koprowski, J. L. (2018). Mammals of Korea. Life Science Publishing Co. [Google Scholar]
- Kawamoto, Y. , Shotake, T. , Nozawa, K. , Kawamoto, S. , Tomari, K.‐I. , Kawai, S. , Shirai, K. , Morimitsu, Y. , Takagi, N. , Akaza, H. , Fujii, H. , Hagihara, K. O. , Aizawa, K. , Akachi, S. , Oi, T. , & Hayaishi, S. (2007). Postglacial population expansion of Japanese macaques (Macaca fuscata) inferred from mitochondrial DNA phylogeography. Primates, 48(1), 27–40. 10.1007/s10329-006-0013-2 [DOI] [PubMed] [Google Scholar]
- Kimprasit, T. , Nunome, M. , Iida, K. , Murakami, Y. , Wong, M.‐L. , Wu, C.‐H. , Kobayashi, R. , Hengjan, Y. , Takemae, H. , Yonemitsu, K. , Kuwata, R. , Shimoda, H. , Si, L. , Sohn, J.‐H. , Asakawa, S. , Ichiyanagi, K. , Maeda, K. , Oh, H.‐S. , Mizutani, T. , … Hondo, E. (2021). Dispersal history of Miniopterus fuliginosus bats and their associated viruses in east Asia. PLoS One, 16(1), e0244006. 10.1371/journal.pone.0244006 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Koh, H. S. , Jo, J. E. , Oh, J. G. , Kweon, G. H. , Ahn, N. H. , Sin, W. H. , & Sin, D. S. (2014). Little genetic divergence of the greater horseshoe bat Rhinolophus ferrumequinum from far‐eastern Asia, with a preliminary report on genetic differentiation of R. ferrumequinum from Eurasia and northern Africa examined from cytochrome b sequences. Russian Journal of Theriology, 13(2), 97–103. 10.15298/rusjtheriol.13.2.05 [DOI] [Google Scholar]
- Kumar, S. , Stecher, G. , Li, M. , Knyaz, C. , & Tamura, K. (2018). MEGA X: Molecular evolutionary genetics analysis across computing platforms. Molecular Biology and Evolution, 35(6), 1547–1549. 10.1093/molbev/msy096 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lack, D. (1945). The Galapagos finches (Geospizinae): a study in variation. Occasional Papers of the California Academy of Sciences, 21(i–vii), 1–152. [Google Scholar]
- Lamichhaney, S. , Han, F. , Berglund, J. , Wang, C. , Almén, M. S. , Webster, M. T. , Grant, B. R. , Grant, P. R. , & Andersson, L. (2016). A beak size locus in Darwin’s finches facilitated character displacement during a drought. Science, 352(6284), 470–474. 10.1126/science.aad8786 [DOI] [PubMed] [Google Scholar]
- Lanfear, R. , Frandsen, P. B. , Wright, A. M. , Senfeld, T. , & Calcott, B. (2017). Partitionfinder 2: New methods for selecting partitioned models of evolution for molecular and morphological phylogenetic analyses. Molecular Biology and Evolution, 34(3), 772–773. 10.1093/molbev/msw260 [DOI] [PubMed] [Google Scholar]
- Liu, T. , Sun, K. , Park, Y. C. , & Feng, J. (2016). Phylogenetic relationships and evolutionary history of the greater horseshoe bat, Rhinolophus ferrumequinum, in Northeast Asia. PeerJ, 4, e2472. 10.7717/peerj.2472 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Millien‐Parra, V. , & Jaeger, J. J. (1999). Island biogeography of the Japanese terrestrial mammal assemblages: An example of a relict fauna. Journal of Biogeography, 26(5), 959–972. 10.1046/j.1365-2699.1999.00346.x [DOI] [Google Scholar]
- Motokawa, M. (2015). Distribution patterns and zoogeography of Japanese mammals. In Ohdachi S. D., Ishibashi Y., Iwasa M. A., Fukui D., & Saitoh T. (Eds.), The wild mammals of Japan (2nd ed., pp. 44–46). Shoukadoh Book Sellers. [Google Scholar]
- Motokawa, M. (2017). “Land Emergence” and “Elevation Shift” affect Diversification: a new perspective toward understanding the high species diversity of terrestrial animals in japan. In Motokawa M. & Kajihara H. (Eds.), Species diversity of animals in Japan. Diversity and Commonality in Animals (pp. 3–23). Springer Japan. 10.1007/978-4-431-56432-4_1 [DOI] [Google Scholar]
- Nagata, J. , Masuda, R. , Tamate, H. B. , Hamasaki, S. I. , Ochiai, K. , Asada, M. , Tatsuzawa, S. , Suda, K. , Tado, H. , & Yoshida, M. C. (1999). Two genetically distinct lineages of the sika deer, Cervus nippon, in Japanese Islands: Comparison of mitochondrial d‐loop region sequences. Molecular Phylogenetics and Evolution, 13(3), 511–519. 10.1006/mpev.1999.0668 [DOI] [PubMed] [Google Scholar]
- Oba, T. , & Irino, T. (2012). Sea level at the last glacial maximum, constrained by oxygen isotopic curves of planktonic foraminifera in the Japan Sea. Journal of Quaternary Science, 27(9), 941–947. 10.1002/jqs.2585 [DOI] [Google Scholar]
- Ohnishi, N. , Uno, R. , Ishibashi, Y. , Tamate, H. B. , & Oi, T. (2009). The influence of climatic oscillations during the Quaternary Era on the genetic structure of Asian black bears in Japan. Heredity, 102(6), 579–589. 10.1038/hdy.2009.28 [DOI] [PubMed] [Google Scholar]
- Patiño, J. , Whittaker, R. J. , Borges, P. A. V. , Fernández‐Palacios, J. M. , Ah‐Peng, C. , Araújo, M. B. , Ávila, S. P. , Cardoso, P. , Cornuault, J. , de Boer, E. J. , de Nascimento, L. , Gil, A. , González‐Castro, A. , Gruner, D. S. , Heleno, R. , Hortal, J. , Illera, J. C. , Kaiser‐Bunbury, C. N. , Matthews, T. J. , … Emerson, B. C. (2017). A roadmap for island biology: 50 fundamental questions after 50 years of The Theory of Island Biogeography. Journal of Biogeography, 44(5), 963–983. 10.1111/jbi.12986 [DOI] [Google Scholar]
- Petit, E. , Excoffier, L. , & Mayer, F. (1999). No evidence of bottleneck in the postglacial recolonization of Europe by the noctule bat (Nyctalus noctula). Evolution, 53(4), 1247–1258. 10.1111/j.1558-5646.1999.tb04537.x [DOI] [PubMed] [Google Scholar]
- Rambaut, A. , Drummond, A. J. , Xie, D. , Baele, G. , & Suchard, M. A. (2018). Posterior summarization in Bayesian phylogenetics using Tracer 1.7. Systematic Biology, 67(5), 901–904. 10.1093/sysbio/syy032 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rossiter, S. J. , Benda, P. , Dietz, C. , Zhang, S. , & Jones, G. (2007). Rangewide phylogeography in the greater horseshoe bat inferred from microsatellites: Implications for population history, taxonomy and conservation. Molecular Ecology, 16(22), 4699–4714. 10.1111/j.1365-294X.2007.03546.x [DOI] [PubMed] [Google Scholar]
- Rozas, J. , Ferrer‐Mata, A. , Sanchez‐DelBarrio, J. C. , Guirao‐Rico, S. , Librado, P. , Ramos‐Onsins, S. E. , & Sanchez‐Gracia, A. (2017). DnaSP 6: DNA sequence polymorphism analysis of large data sets. Molecular Biology and Evolution, 34(12), 3299–3302. 10.1093/molbev/msx248 [DOI] [PubMed] [Google Scholar]
- Sakai, T. , Kikkawa, Y. , Tsuchiya, K. , Harada, M. , Kanoe, M. , Yoshiyuki, M. , & Yonekawa, H. (2003). Molecular phylogeny of Japanese Rhinolophidae based on variations in the complete sequence of the mitochondrial cytochrome b gene. Genes & Genetic Systems, 78(2), 179–189. 10.1266/ggs.78.179 [DOI] [PubMed] [Google Scholar]
- Sano, A. (2015). Rhinolophus ferrumequinum. In Ohdachi S. D., Ishibashi Y., Iwasa M. A., Fukui D., & Saitoh T. (Eds.), The wild mammals of Japan, 2nd ed. (pp. 58–59). Shoukadoh Book Sellers. [Google Scholar]
- Sato, A. , O'hUigin, C. , Figueroa, F. , Grant, P. R. , Grant, B. R. , Tichy, H. , & Klein, J. (1999). Phylogeny of Darwin’s finches as revealed by mtDNA sequences. Proceedings of the National Academy of Sciences of the United States of America, 96(9), 5101–5106. 10.1073/pnas.96.9.5101 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sato, J. J. (2017). A review of the processes of mammalian faunal assembly in Japan: Insights from molecular phylogenetics. In Motokawa M. & Kajihara H. (Eds.), Species diversity of animals in Japan. Diversity and Commonality in Animals (pp. 49–116). Springer Japan. 10.1007/978-4-431-56432-4_3 [DOI] [Google Scholar]
- Schneider, S. , Roessli, D. , & Excoffier, L. (2000). Arlequin: A software for population genetics data analysis. University of Geneva. [Google Scholar]
- Smith, A. T. (2008). Taxonomic descriptions: class Mammalia. In Smith A. T. & Xie Y. (Eds.), The guide to the mammals of China (pp. 115–484). Princeton University Press. [Google Scholar]
- Staden, R. , Judge, D. P. , & Bonfield, J. K. (2003). Managing Sequencing Projects in the GAP4 Environment. In Krawetz S. A. & Womble D. D. (Eds.), Introduction to bioinformatics (pp. 327–344). Humana Press. [Google Scholar]
- Tajima, F. (1989). Statistical method for testing the neutral mutation hypothesis by DNA polymorphism. Genetics, 123, 585–595. 10.1093/genetics/123.3.585 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tamate, H. (2015). Comparative phylogeography of sika deer, Japanese macaques, and black bears reveals unique population history of large mammals in Japan. In Ohdachi S. D., Ishibashi Y., Iwasa M. A., Fukui D., & Saitoh T. (Eds.), The wild mammals of Japan, 2nd ed. (pp. 142–145). Shoukadoh Book Sellers. [Google Scholar]
- Thompson, J. D. , Higgins, D. G. , & Gibson, T. J. (1994). CLUSTAL W: Improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position‐specific gap penalties and weight matrix choice. Nucleic Acids Research, 22(22), 4673–4680. 10.1093/nar/22.22.4673 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Weir, J. T. , Bermingham, E. , & Schluter, D. (2009). The Great American Biotic Interchange in birds. Proceedings of the National Academy of Sciences of the United States of America, 106(51), 21737–21742. 10.1073/pnas.0903811106 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wilkinson, G. S. , & Chapman, A. M. (1991). Length and sequence variation in evening bat D‐loop mtDNA. Genetics, 128(3), 607–617. 10.1093/genetics/128.3.607 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wilson, D. E. , & Mittermeier, R. A. (2019). Handbook of the mammals of the world: Bats, Vol. 9. Lynx Editions. [Google Scholar]
- Xiao, Y. , Sun, K. , & Feng, J. (2017). Complete mitochondrial genomes of two subspecies (Rhinolophus ferrumequinum nippon and Rhinolophus ferrumequinum tragatus) of the greater horseshoe bat (Chiroptera: Rhinolophidae). Mitochondrial DNA Part A: DNA Mapping, Sequencing, and Analysis, 28(1), 96–97. 10.3109/19401736.2015.1110815 [DOI] [PubMed] [Google Scholar]
- Yamada, M. , Hosoi, E. , Nagata, J. , Tamate, H. B. , & Tado, H. (2007). Phylogenetic relationship of the southern Japan lineages of the sika deer (Cervus nippon) in Shikoku and Kyushu Islands, Japan. Mammal Study, 32(3), 121. 10.3106/1348-6160(2007)32005B121:protsj005D2.0.co;2 [DOI] [Google Scholar]
- Yamada, T. , Kokubugata, G. , Fujii, S. , Chen, C. F. , Asakawa, A. , Ito, T. , & Maki, M. (2021). Refugia during the last glacial period and the origin of the disjunct distribution of an insular plant. Journal of Biogeography, 48(6), 1460–1474. 10.1111/jbi.14090 [DOI] [Google Scholar]
- Yoshiyuki, M. (1989). A systematic study of the Japanese Chiroptera. National Science Museum. [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
All sequences newly added on this study are usable in GenBank under accession numbers LC605914–LC605979.
