Next Article in Journal
Unexpected Records of Newborn and Young Sharks in Ligurian and North Tyrrhenian Seas (North-Western Mediterranean Basin)
Previous Article in Journal
How Do Moth Clicks Decrease the Capture Success of Horseshoe Bats?
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

New Insights into the Taxonomy of Myotis Bats in China Based on Morphology and Multilocus Phylogeny

1
College of Life Science, Jilin Agricultural University, Changchun 130118, China
2
Jilin Provincial Key Laboratory of Animal Resource Conservation and Utilization, Northeast Normal University, Changchun 130117, China
3
Key Laboratory of Vegetation Ecology, Ministry of Education, Changchun 130024, China
4
Key Laboratory of Conservation and Application in Biodiversity of South China, School of Life Sciences, Guangzhou University, Guangzhou 510182, China
5
School of Karst Sciences, Guizhou Normal University, Guiyang 550003, China
*
Authors to whom correspondence should be addressed.
Diversity 2023, 15(7), 805; https://doi.org/10.3390/d15070805
Submission received: 8 May 2023 / Revised: 13 June 2023 / Accepted: 21 June 2023 / Published: 24 June 2023
(This article belongs to the Section Animal Diversity)

Abstract

:
The genus Myotis is one of the most diverse and widely distributed mammals, providing a good model for studies of speciation and diversification across large geographic scales. However, the classification within this genus has long been chaotic. Taxonomic revisions based on multiple data sources are essential and urgent. In this study, morphometrics and genetic markers with different modes of inheritance were used to clarify the taxonomy of Myotis distributed in China. Based on 173 mitochondrial Cytb sequences and five morphological characteristics, 114 specimens collected nationwide over the past 20 years were assigned to 11 Myotis species. All Chinese samples classified into M. davidii and M. longipes were revised to M. alticraniatus and M. laniger. Then, two nuclear fragments (Rag2 and Chd1) and Cytb sequences from representative individuals of Chinese Myotis were used for multilocus phylogeny reconstruction and genetic divergence evaluation. The phylogenetic relationships were clearly demonstrated in the species tree: M. alticraniatus and M. laniger; M. fimbriatus, M. pilosus, M. macrodactylus, and M. petax; and M. pequinius, M. chinensis, and M. blythii formed three strongly supported monophyletic clades. Mitochondrial divergence was almost 10 times that of nuclear divergence, with interspecific K2P distances ranging from 8% to 20% for Cytb and 0.3% to 2.3% for concatenated nuclear genes. Low levels of genetic divergence were observed between M. alticraniatus and M. laniger, as well as M. fimbriatus and M. pilosus. These results provide new insights into the taxonomy and phylogeny of Myotis bats in China and are important for the future research and conservation of Chinese Myotis.

1. Introduction

Bats (Order Chiroptera) have been of increased concern in recent years. Chiroptera is one of the most widely distributed and successfully evolved mammalian orders [1,2]. Innovations, such as powered flight and laryngeal echolocation, allow bats to successfully occupy diverse nocturnal niches and form rich species diversity with rapid radiations. Until now, more than 1400 existing bat species have been identified, accounting for a quarter of all mammalian species [3,4,5].
Myotis is the most diverse chiropteran genus, with more than 126 known extant species [6,7]. It is the only mammalian genus naturally distributed on every continent except Antarctica [8]. The genus of Myotis provides an excellent model system for the investigation of speciation and diversification at a large geographic scale [8,9]. Early morphology-based studies divided the genus Myotis into three [10], four [11,12], or even seven subgenera [13]. However, subsequent research found the subgenera mentioned above were not genetically monophyletic [14,15,16]. The similarity in morphologies is more likely to reflect convergent adaptation or likeness in predation behavior rather than close phylogenetic relationships [7,16,17,18].
Accurate identification of evolutionary relationships among species is difficult but essential for the study of speciation and diversification. The systematics of genus Myotis have been studied based on mitochondrial markers, such as Cytb, ND1, and COI genes [14,15,16]. With the widespread use of nuclear markers, Rag2 gene, self-developed anonymous nuclear loci, and UCE loci were used in Myotis phylogenetic inference [7,8,9,19,20]. Although much work has been carried out on the genus Myotis, inaccurate specimen identification and wrongly labelled GenBank sequences made the phylogenetic relationships more complicated [21]. Meanwhile, the published research on Myotis is primarily concentrated in North America and Europe. There is poor knowledge of the species diversity, phylogenetic relationship, and the degree of differentiation of Myotis distributed in East Asia, which could be a critical origin center of all Myotis lineages [8].
The taxonomy of Myotis species in China remains largely confused and needs to be revised based on multiple source data. Only one research studied the phylogenetic status of Myotis in China, including six species (M. fimbriatus, M. longipes, M. siligorensis, M. altarium, and two unknown species) [22]. However, according to a recent study that critically evaluated the small Myotinae’s systematic position in the Himalayas [21], the species delimitation in Zhang et al. [22] was problematic and outdated. In addition, due to rapid urbanization and environmental changes, the populations of some Myotis species are declining. Three Myotis species, M. pilosus, M. blythii, and M. chinensis, which are widely distributed in China, are listed as vulnerable species on the IUCN Red List. Thus, it is urgently necessary to study the Chinese Myotis to clarify their taxonomic status, determine their phylogenetic relationships, and help with conservation.
In this study, we collected hundreds of Myotis samples across China, revised their taxonomy with morphological and genetic data, and reconstructed the phylogenetic tree based on an updated species classification. We aimed to (a) clarify the taxonomic status of collected specimens, (b) determine the phylogenetic relationships among Myotis species based on multilocus datasets, and (c) evaluate the genetic differentiation of Chinese Myotis. The results will help elucidate the taxonomic status and phylogenetic relationships among Chinese Myotis and provide a good basis for Myotis conservation in China.

2. Materials and Methods

2.1. Samples Collection

Morphological and genetic data of 195 bats were used in this study, including 114 samples of Chinese Myotis collected nationwide over the past 20 years and 81 specimens recorded in literature (Table S1). All the genetic data generated in this study were based on wing membrane biopsies. All the studies were reviewed and approved by the Laboratory Animal Welfare and Ethics Committee of Jilin Agricultural University.

2.2. Genetic and Morphological Data Acquisition

Genomic DNA was extracted using UNIQ-10 column animal genomic DNA extraction kit (Sangon Biotech, Shanghai, China), and then the DNA quality was detected by 1% agarose gel electrophoresis. Mitochondrial cytochrome b gene (Cytb) and two nuclear genes (Rag2 and Chd1) were amplified with primers L14724 and H15915 [23], 179F and 1458R [8], and EX26F and EX27R [24], respectively. The PCR amplification products were qualified by electrophoresis and sent to Shanghai Sangon Biotech for Sanger sequencing. In addition, we downloaded a set of published and unpublished sequences from GenBank (Table S1). SeqMan v.7 [25], Bioedit v.7 [26], and Geneious v.8 [27] were used to edit and align DNA sequences. DnaSP v.6 [28] was implemented to identify haplotypes. The Iss index in DAMBE v.6 [29] was evaluated to measure substitution saturation.
Morphological characteristics, including forearm length (FA), tibial length (TIB), hindfoot length (FL), ear length (EH), and tail length (TAIL), were collected from 97 specimens by measuring in the field or retrieving literature (Table S2). Because we focused on the overall morphological difference among species, no age, sex, or geographic variations were controlled. Principal component analysis (PCA) was performed on the standardized morphological data, and the first two principal components were extracted to draw a scatterplot to visualize morphological variation among Myotis species. All analyses above were implemented in R v.4.2.1 [30].

2.3. Phylogenetic Analysis

The Bayesian inference (BI) and maximum likelihood (ML) approaches were employed for phylogenetic reconstruction from the mitochondrial Cytb gene and concatenated nuclear genes (Rag2 and Chd1). The BI tree was reconstructed with MrBayes v.3.2 [31]. Five million generations were run with a sampling frequency of 100 generations and burn in of the first 25% iterations. IQ-TREE2 [32] was used to infer ML tree with 1000 ultrafast bootstrap replicates. Most specimens were successfully amplified in Cytb gene, and some downloaded Cytb sequences were recently revised by Ruedi et al. [21], so the BI and ML trees based on Cytb were used for taxonomic revision.
Mitochondrial (Cytb) and nuclear (Rag2 and Chd1) sequences of representative specimens with revised taxonomy were used for species tree estimation. The species tree was reconstructed with the multispecies coalescent model of *BEAST in BEAST v.1.8 [33]. The site models, clock models, and gene trees were set to unlinked across loci. An uncorrelated relaxed clock and Yule prior were used. Ten million generations were run in BEAST with a sampling frequency of 1000 generations. Convergence was tested in Tracer [34] to ensure all ESS values exceeded 200. The same method was applied to two nuclear genes to compare with the BI and ML trees constructed from the concatenated nuclear dataset.
Bayesian and maximum likelihood methods are sensitive to nucleotide substitution models, so we selected optimal nucleotide substitution models using BIC criteria in ModelFinder [35]. For the mitochondrial Cytb gene, the optimal model for each of the codon positions is TIM2e + G4, TPM2u + F + I + G4, and TN + F + I + G4, respectively. The optimal models for nuclear Rag2 and Chd1 are HKY + F + G4 and HKY + F, respectively. The sequences of Eptesicus fuscus were downloaded as outgroups. The final phylogenetic tree was visualized and edited in FigTree v.1.4.4 [36].

2.4. Genetic Divergence Evaluation

Level of genetic divergence among Myotis species was evaluated using the Kimura two-parameter (K2P) model with 1000 bootstrap replications in MEGA v.10.0.5 [37]. Both mitochondrial and nuclear divergence were estimated. The concatenated nuclear dataset was used for nuclear divergence estimation.

3. Results

3.1. Taxonomic Revision

Mitochondrial phylogeny and morphological data were used for taxonomic revision. One hundred and four Cytb sequences were successfully amplified in this study. Combined with the sequences downloaded from GenBank, 174 sequences (including two outgroups) were used for mitochondrial phylogenetic reconstruction. A consistent topology was obtained from different methods (BI and ML, Figure S1). Individuals of M. siligorensis (“C4”), M. frater (“C5”), M. fimbriatus (“C7”), M. macrodactylus (“C8”), M. petax (“C9”), M. pequinius (“C10”), M. chinensis (“C11”), M. blythii (“C12”), and M. muricola (“C14”) formed strongly supported monophyletic clades (PP/BP = 1.00/100, Figure 1).
The individuals of M. davidii were placed in two very distinct clades (Figure 1). One clade (“C13”) includes all the genuine M. davidii sequences mentioned in Ruedi et al. [21] and near the base of the tree. The other clade consists of two sister clades, “C1” and “C2”. Clade “C1” includes sequences initially identified as M. davidii, M. badius, and M. alticraniatus. According to Ruedi et al. [21], all Chinese sequences available in the GenBank labelled as “M. davidii” were actually “M. alticraniatus”, which is the same species as “M. badius”. For the sequences in clade “C1”, those grouped with M. badius or M. alticraniatus were assigned to “M. alticraniatus”, and the others were labelled as “M. cf. alticraniatus”.
Clade “C2” comprised the samples of M. davidii, M. laniger, and M. longipes, and formed two well-supported subclades (Figure 1). In the first subclade, all individuals and sequences were classified as M. laniger, except two individuals of unknown origin were grouped with two sequences downloaded from GenBank labelled “M. longipes”. The genuine M. longipes sequences revised by Ruedi et al. [21] were monophyletic (clade “C3”) and close to the clade “C2”. Therefore, the two unknown individuals were labelled “M. cf. longipes”. The second subclade includes individuals and GenBank sequences identified as M. laniger and M. davidii. Considering most sequences in clade “C2” were from M. laniger, and the genuine M. davidii was placed in a distant clade, we labelled those “M. davidii” sequences as “M. cf. laniger”. In addition, in the highly supported clade “C6”, another two specimens of unknown origin were sister to M. pilosus and labelled as “M. cf. pilosus”.
According to the morphological analysis, M. blythii, M. chinensis, M. frater, M. pequinius, and M. pilosus were different from each other, whereas the M. alticraniatus, M. laniger, M. macrodactylus, and M. fimbriatus were relatively similar (Figure 2). Individuals of M. cf. alticraniatus, M. cf. laniger, and M. cf. longipes overlapped with those M. laniger and M. alticraniatus. Two specimens of M. cf. pilosus were much smaller than M. pilosus (Table S2) and distinct from the individuals of M. pilosus but close to its closely related species, M. fimbriatus. However, the four individuals of M. fimbriatus were pretty scattered.

3.2. Phylogeny of Chinese Myotis

According to the revised taxonomy presented above, representative samples of 11 Chinese Myotis species were chosen for phylogenetic relationship inference based on the nuclear genes. Rag2 and Chd1 sequences were successfully amplified from 30 and 26 samples, respectively (Table S1). The BI and ML trees constructed based on concatenated nuclear genes were consistent in topology (Figure S2). In the BI/ML tree, sequences of each species formed highly supported monophyletic clades (PP/BP ≥ 0.98/79, Figure 3A), and the phylogenetic relationships among those species were mostly congruent with the tree inferred by *BEAST based on the same datasets, only the phylogenetic location of M. petax and M. muricola shows difference (Figure 3B).
In the BI/ML tree, M. petax was sister to a group of closely related species, including M. alticraniatus, M. laniger, M. fimbriatus, M. pilosus, and M. macrodactylus (Figure 3A). While in the results of *BEAST, M. petax clustered with a well-supported clade that included M. fimbriatus, M. pilosus, and M. macrodactylus, and formed a sister group relationship with another highly supported alticraniatus–laniger clade (Figure 3B). The BI/ML tree was divided into two clades, M. muricola was at the basal position of one clade, but in the *BEAST tree, M. muricola was distantly related to all other assayed Myotis species and at the base of the tree (Figure 3).
Thirty-three Cytb sequences were chosen from the same individuals as Rag2 and Chd1 sequences to reconstruct the multilocus species tree (Figure 4A). Most clades were highly supported (PP ≥ 0.98) and suggested a close relationship between M. alticraniatus and M. laniger; M. fimbriatus, M. pilosus, M. macrodactylus, and M. petax; and M. pequinius, M. chinensis, and M. blythii (Figure 4A). Myotis frater was close to the strongly supported alticraniatus–laniger clade and its sister clade. The latter includes four species, as M. fimbriatus and M. pilosus formed a strongly monophyletic clade that was sister to the well-supported macrodactylus–petax clade. All these four species were grouped together with high support value (PP = 1.00). Myotis muricola was at the basal position of the species tree and supported with a posterior probability of 1.00.

3.3. The Level of Genetic Divergence

Mitochondrial divergence was almost ten times of nuclear divergence (Figure 4B). For mitochondrial Cytb, the interspecific K2P distances among species ranged from 8% to 20%. Most mitochondrial distances were higher than 10%, except for alticraniatuslaniger and fimbriatus–pilosus. The highest values were observed between M. muricola and other species. For concatenated nuclear genes, the interspecific K2P distances among species ranged from 0.3% to 2.3%. The lowest value was found between M. fimbriatus and M. pilosus.

4. Discussion

This study presents the first phylogenetic analysis focusing on the Myotis in China based on comprehensive sampling and integrated morphological and genetic data. Importantly, we reconstructed the phylogeny of Chinese Myotis with a revised and updated taxonomy according to Ruedi et al. [21]. The results of this study clarified the species status and relationships among Myotis bats in China and provided a reasonable basis for the research and conservation of the genus Myotis.
Accurate species delimitation is an essential premise for evolutionary research and plays a fundamental role in understanding biodiversity [38]. Traditional taxonomic identification is mainly based on morphological and other phenotypic characteristics as indicators of reproductive isolation. With the development of sequencing technologies, genetic markers are widely used in species identification and classification. However, many studies have found that inconsistency may be between phenotypic and genetic data and genetic markers of different inheritance patterns [39]. Genus Myotis has undergone rapid species diversification and is one of the most successful species radiations among extant mammals [20]. Discordances between genetic and morphological characters have been identified in this genus [8,9,20] and caused years of taxonomic controversy.
Morphological characters are easy to measure, while in many cases, they do not reflect actual relatedness. Even in the same species, geographic variation would lead to discordance between morphology and genetics, which has been reported in many organisms, such as the Blandfordia grandiflora [40], Drosophila [41], snakes [42], and primates [43]. In this study, two individuals of unknown origin were labelled as “M. cf. pilosus” because of their genetic similarity with M. pilosus, but they were clearly distinguished in morphology (Figure 1 and Figure 2, Table S2). However, in this case, the discordance seems unrelated to the geographic variation as the other individuals of M. pilosus were collected from different localities and well-grouped in PCA analysis (Figure 2). Errors in the measurement and genetic introgression could also lead to inconsistency. To determine the taxonomy of those two specimens, morphological and genetic data from more M. cf. pilosus samples of the same locality are required.
In another case, distantly related species showed some morphological similarity due to convergent adaptation, such as the evolution of sensitive hearing to high-frequency sounds between echolocating bats and cetaceans [44]. Convergent adaptations have been reported in many taxa, including carnivorous plants [45], marine tetrapods [46], frogs [47], etc. In Myotis, multiple studies found that the phenotype is more likely to be a convergent adaptation in a specific situation, which may be related to predation behavior and could not fully reflect the proximity of kinship [16,17,18]. In this study, we found that M. pilosus and M. fimbriatus were similar in genetics but different in morphology (Figure 1 and Figure 2). Myotis pilosus is the only known piscivorous bat in East Asia, while M. fimbriatus is a trawling insectivorous bat. The differences in morphology are likely related to predation behavior. According to Chang et al. [48], the morphological advantages of M. pilosus, such as the giant forearm, hind foot, and body size, help it forage on fish.
Discordance between morphological and genetic data was also detected in M. longipes. The genuine M. longipes collected from India formed a monophyletic mtDNA clade (“C3”). In contrast, in the morphology, the four voucher specimens of M. longipes collected from the Guangdong and Hunan Provinces of China [49,50] were mixed with M. alticraniatus and M. laniger in Figure 2. Four voucher specimens were smaller than the topotypes collected from India [51]. They were classified as M. longipes based on their close phylogenetic relationships to the M. longipes from Laos reported by Ruedi et al. [8]. However, Ruedi et al. [21] revised this sample to M. laniger in the recently published paper. Thus, the M. longipes and M. cf. longipes collected from China, which were nested in the clade “C2”, belong to M. laniger. According to Topál [52], M. longipes is likely endemic to Afghanistan and India. The records of M. longipes in China (such as Guangxi, Hunan, Guangdong, and Guizhou [53]) were most likely to be M. laniger and require further validation.
Myotis laniger and M. alticraniatus represent two different feeding-foraging modalities [7]. Myotis laniger is a trawling bat with large feet, while M. alticraniatus is an aerial hawking bat with tiny feet [7,21]. All the individuals of M. cf. laniger have relatively long feet (FL: 9.77–11.36 mm) and high foot/tibia ratios (range from 60–68%), while the individuals of M. cf. alticraniatus have relatively small-sized feet (FL: 7.70–8.95 mm) and low foot/tibia ratios (range from 54–59%). However, the five external morphological characteristics used in this study were insufficient to distinguish those two species (Figure 2). Craniodental characteristics could provide critical information in species delimitation, especially for the morphology conserved Myotis, while only biopsy samples were obtained in this study, and no wet specimens nor skulls were included. In future studies, we should better consider more external and craniodental characteristics of the small-sized Myotis for a more accurate and reliable species delimitation, and more importantly, the voucher specimens, topotypes, and/or holotypes should be incorporated.
According to Baker and Bradley [54], the genetic variations from mitochondrial Cytb among bats were 1.4–1.9% for intraspecific divergence, 3.3–14.7% for interspecific differentiation of sister taxa, and 8.4–15.7% for interspecific differentiation of non-sister species. For the clade “C1”, although the morphological characteristics of M. alticraniatus and M. cf. alticraniatus were similar, their mitochondrial K2P genetic distance was 5.85%, suggesting an interspecific differentiation. Further taxonomic scrutiny was required for the individuals of M. cf. alticraniatus. The individuals of M. alticraniatus were diverged from M. laniger with a mitochondrial K2P genetic distance of 8%, indicating an interspecific differentiation of sister taxa. Based on the morphological and genetic evidence, we updated the distribution information of these two closely related Myotis species and confirmed that M. laniger and M. alticraniatus are widely distributed in southern China and overlap to a large extent (Table S1).
In addition, M. alticraniatus and M. davidii were often confused in many studies, such as Kawai et al. [15], You et al. [55], and You et al. [56]. Ruedi et al. [21] found that M. alticraniatus and M. davidii are distinct in craniodental and mandibular morphologies by reexamining the museum specimens of these two species, including the holotype of M. davidii from Beijing (MNHN 1987–296). According to our genetic results, all Chinese sequences initially identified as M. davidii were M. alticraniatus and M. laniger, and distantly placed from the sequences of genuine M. davidii, which were in the clade “C13” near the base of the mitochondrial tree (Figure 1). This finding is consistent with the results of Ruedi et al. [21], who found all Chinese “M. davidii” sequences available in the GenBank exceed 13% genetic divergence compared to the genuine M. davidii but within 5% divergence to M. alticraniatus. However, the genetic sequences of genuine M. davidii used in Ruedi et al. [21] and this study were generated from M. davidii as redefined by Benda et al. [57]. Genetic data from the holotype or topotypes of M. davidii from Beijing were required for further confirmation.
The phylogenetic relationships of the genus Myotis have been explored in several studies, such as Kawai et al. [15], Zhang et al. [22], Ruedi et al. [8], Morales et al. [7], and Ruedi et al. [21]. All the studies using Cytb or Rag2 as genetic markers supported a closer relationship between M. laniger and M. alticraniatus, while in Morales et al. [7], who used 1610 UCEs, a closer relationship was observed among M. laniger, M. fimbriatus, and M. petax; M. alticraniatus and M. pilosus had relatively distant relationships with the above three species. None of these studies yield consistent phylogenetic relationships, especially for the basal relationships. Compared with previous studies, we focused on the Myotis distributed in China and generated a highly supported species tree with one mitochondrial and two nuclear markers. Our results provided some useful phylogenetic information for the Chinese Myotis, such as the lowest genetic distance between M. laniger and M. alticraniatus, and close relationships within four trawling bats (M. fimbriatus, M. petax, M. pilosus, and M. macrodactylus) or three gleaning bats (M. pequinius, M. chinensis, and M. blythii). However, there are still two weakly supported clades that are likely to be incorrect topologies. More genetic/genomic and phenotypic data, especially the craniodental characteristics, should be considered to reconstruct a more convincing species tree.
Large-scale wildlife diversity monitoring and investigation are being carried out worldwide. Still, the taxonomic research on bats is lagging due to their particularity of flying and nighttime activity [58]. Until now, studies on Chinese Myotis have been primarily focusing on single species, such as the phylogeographic studies of M. pequinius [59] and M. pilosus [60]. The interspecific phylogenetic relationships among Chinese Myotis remain chaotic. The results of this study provide new insights into the taxonomy and phylogeny of Myotis bats in China and are essential for the future research and conservation of Chinese Myotis. However, there are still many unknown species and taxonomic controversies within the Myotis genus. Multiple sources of data, such as genetic markers, genomic SNPs, external morphological and craniodental characteristics, evolutionary history, and geographical and ecological information, should be incorporated in species delimitation to obtain more accurate and reliable taxonomy.

5. Conclusions

In conclusion, this study combined morphological and genetic data to investigate the taxonomy and phylogeny of Chinese Myotis. With the broad geographic scale sampling and data collection, we revised the taxonomic status of 114 Chinese Myotis specimens. All individuals initially identified as M. davidii and M. longipes were reassigned to M. alticraniatus and M. laniger. The phylogenetic relationships of Chinese Myotis were reconstructed with the updated taxonomy and multiple genetic markers and showed three highly supported monophyletic clades. One includes M. laniger and M. alticraniatus, which have low genetic distance, one contains four trawling bats (M. fimbriatus, M. petax, M. pilosus, and M. macrodactylus), and the other one includes three gleaning bats (M. pequinius, M. chinensis, and M. blythii). This study emphasizes the importance of using an updated taxonomy in species classification and phylogeny reconstruction and provides essential background information for the conservation of Myotis in China.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/d15070805/s1, Table S1: Sampling information of specimens and sequences used in this study; Table S2: Morphological data used in this study; Table S3: Haplotypes of mitochondrial Cytb sequences; Table S4: Haplotypes of nuclear sequences; Figure S1: Phylogenetic trees reconstructed based on 123 mitochondrial Cytb haplotypes. Values on the branches represent posterior probability obtained with MrBayes (A) and bootstrap percentage obtained with IQ-TREE (B). Geometries of different colors and shapes represent Myotis species. The information on mitochondrial haplotypes was described in Table S3; Figure S2: Phylogenetic trees reconstructed based on 20 nuclear Rag2 haplotypes (A,B), 13 nuclear Chd1 haplotypes (C,D), and concatenated nuclear sequences (E,F). Values on the branches represent posterior probability obtained with MrBayes (BI) and bootstrap percentage obtained with IQ-TREE (ML). Geometries of different colors and shapes represent Myotis species. The information on nuclear haplotypes was described in Table S4.

Author Contributions

Methodology, T.L., J.J., L.L., J.W., G.M., Y.N., and W.G.; Software, J.J., W.C., W.G., and K.Z.; Investigation, J.J., L.L., J.W., W.C., and Y.N.; Data curation, G.M. and Y.N.; Resources, K.S., W.Y., J.Z., and J.F.; Writing—original draft, T.L.; Visualization, T.L.; Writing—review and editing, K.Z., K.S., and J.F.; Funding acquisition, T.L. and J.F. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by the Special Foundation for National Science and Technology Basic research program of China (2021FY100301), the National Natural Science Foundation of China (32201262), and Jilin Provincial Natural Science Foundation (20230101268JC).

Institutional Review Board Statement

Not applicable.

Data Availability Statement

All newly obtained DNA sequences were deposited in GenBank. Cytb gene accession numbers: OR096732–OR096835; Rag2 gene accession numbers: OR096836–OR096866; Chd1 gene accession numbers: OR096867–OR096893.

Acknowledgments

We thank Limin Shi, Tinglei Jiang, Guanjun Lu, Lei Wang, Tao Luo, and Lei Feng for their assistance in specimen collection. We thank the editor and anonymous reviewers for the constructive criticism of the original manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Altringham, J.D. Bats: From Evolution to Conservation; Oxford University Press: Oxford, UK, 2011. [Google Scholar]
  2. Frick, W.F.; Kingston, T.; Flanders, J. A review of the major threats and challenges to global bat conservation. Ann. N. Y. Acad. Sci. 2020, 1469, 5–25. [Google Scholar] [CrossRef]
  3. Dool, S.E. Conservation genetic studies in bats. In Conservation Genetics in Mammals; Ortega, J., Maldonado, J.E., Eds.; Springer International Publishing: Cham, Switzerland, 2020; pp. 29–62. [Google Scholar]
  4. Adams, R.A.; Pedersen, S.C. Bat Evolution, Ecology, and Conservation; Springer: Berlin/Heidelberg, Germany, 2013. [Google Scholar]
  5. Zachos, F.E. Bats. In Handbook of the Mammals of the World; Wilson, D.E., Mittermeier, R.A., Eds.; Lynx Edicions: Barcelona, Spain, 2020; Volume 9. [Google Scholar]
  6. Burgin, C.J.; Colella, J.P.; Kahn, P.L.; Upham, N.S. How many species of mammals are there? J. Mammal. 2018, 99, 1–14. [Google Scholar] [CrossRef] [Green Version]
  7. Morales, A.E.; Ruedi, M.; Field, K.; Carstens, B.C. Diversification rates have no effect on the convergent evolution of foraging strategies in the most speciose genus of bats, Myotis. Evolution 2019, 73, 2263–2280. [Google Scholar] [CrossRef] [PubMed]
  8. Ruedi, M.; Stadelmann, B.; Gager, Y.; Douzery, E.J.P.; Francis, C.M.; Lin, L.-K.; Guillén-Servent, A.; Cibois, A. Molecular phylogenetic reconstructions identify East Asia as the cradle for the evolution of the cosmopolitan genus Myotis (Mammalia, Chiroptera). Mol. Phylogenetics Evol. 2013, 69, 437–449. [Google Scholar] [CrossRef] [PubMed]
  9. Stadelmann, B.; Lin, L.-K.; Kunz, T.; Ruedi, M. Molecular phylogeny of New World Myotis (Chiroptera, Vespertilionidae) inferred from mitochondrial and nuclear DNA genes. Mol. Phylogenetics Evol. 2007, 43, 32–48. [Google Scholar] [CrossRef]
  10. Findley, J.S. Phenetic relationships among bats of the genus Myotis. Syst. Biol. 1972, 21, 31–52. [Google Scholar] [CrossRef]
  11. Rautenbach, I.; Bronner, G.; Schlitter, D. Karyotypic data and attendant systematic implications for the bats of southern Africa. Koedoe 1993, 36, 87–104. [Google Scholar] [CrossRef]
  12. Koopman, K.F. Chiroptera: Systematics. Handbook Zool. 1994, 8, 1–217. [Google Scholar]
  13. Tate, G.H.H.; Archbold, R. A Review of the Genus Myotis (Chiroptera) of Eurasia: With Special Reference to Species Occurring in the East Indies; American Museum of Natural History: New York, NY, USA, 1941. [Google Scholar]
  14. Bickham, J.W.; Patton, J.C.; Schlitter, D.A.; Rautenbach, I.L.; Honeycutt, R.L. Molecular phylogenetics, karyotypic diversity, and partition of the genus Myotis (Chiroptera: Vespertilionidae). Mol. Phylogenetics Evol. 2004, 33, 333–338. [Google Scholar] [CrossRef]
  15. Kawai, K.; Nikaido, M.; Harada, M.; Matsumura, S.; Lin, L.-K.; Wu, Y.; Hasegawa, M.; Okada, N. The status of the Japanese and East Asian bats of the genus Myotis (Vespertilionidae) based on mitochondrial sequences. Mol. Phylogenetics Evol. 2003, 28, 297–307. [Google Scholar] [CrossRef]
  16. Ruedi, M.; Mayer, F. Molecular systematics of bats of the Genus Myotis (Vespertilionidae) suggests deterministic ecomorphological convergences. Mol. Phylogenetics Evol. 2001, 21, 436–448. [Google Scholar] [CrossRef] [PubMed]
  17. Fenton, M.B.; Bogdanowicz, W. Relationships between external morphology and foraging behaviour: Bats in the genus Myotis. Can. J. Zool. 2002, 80, 1004–1013. [Google Scholar] [CrossRef]
  18. Ghazali, M.; Moratelli, R.; Dzeverin, I. Ecomorph evolution in Myotis (Vespertilionidae, Chiroptera). J. Mamm. Evol. 2017, 24, 475–484. [Google Scholar] [CrossRef]
  19. Carstens, B.C.; Dewey, T.A. Species delimitation using a combined coalescent and information-theoretic approach: An example from North American Myotis bats. Syst. Biol. 2010, 59, 400–414. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  20. Platt, R.N.; Faircloth, B.C.; Sullivan, K.A.; Kieran, T.J.; Glenn, T.C.; Vandewege, M.W.; Lee, T.E.; Baker, R.J.; Stevens, R.D.; Ray, D.A. Conflicting evolutionary histories of the mitochondrial and nuclear genomes in New World Myotis bats. Syst. Biol. 2018, 67, 236–249. [Google Scholar] [CrossRef] [Green Version]
  21. Ruedi, M.; Saikia, U.; Thabah, A.; Görföl, T.; Thapa, S.; Csorba, G. Molecular and morphological revision of small Myotinae from the Himalayas shed new light on the poorly known genus Submyotodon (Chiroptera: Vespertilionidae). Mamm. Biol. 2021, 101, 465–480. [Google Scholar] [CrossRef]
  22. Zhang, Z.; Tan, X.; Sun, K.; Liu, S.; Xu, L.; Feng, J. Molecular systematics of the Chinese Myotis (Chiroptera, Vespertilionidae) inferred from cytochrome-b sequences. Mammalia 2009, 73, 323–330. [Google Scholar] [CrossRef]
  23. Irwin, D.M.; Kocher, T.D.; Wilson, A.C. Evolution of the cytochrome b gene of mammals. J. Mol. Evol. 1991, 32, 128–144. [Google Scholar] [CrossRef]
  24. Lim, B.K.; Engstrom, M.D.; Bickham, J.W.; Patton, J.C. Molecular phylogeny of New World sheath-tailed bats (Emballonuridae: Diclidurini) based on loci from the four genetic transmission systems in mammals. Biol. J. Linn. Soc. 2007, 93, 189–209. [Google Scholar] [CrossRef]
  25. Swindell, S.R.; Plasterer, T.N. Seqman. In Sequence Data Analysis Guidebook; Springer: Berlin/Heidelberg, Germany, 1997; pp. 75–89. [Google Scholar]
  26. Hall, T.; Biosciences, I.; Carlsbad, C. BioEdit: An important software for molecular biology. GERF Bull. Biosci. 2011, 2, 60–61. [Google Scholar]
  27. Kearse, M.; Moir, R.; Wilson, A.; Stones-Havas, S.; Cheung, M.; Sturrock, S.; Buxton, S.; Cooper, A.; Markowitz, S.; Duran, C. Geneious Basic: An integrated and extendable desktop software platform for the organization and analysis of sequence data. Bioinformatics 2012, 28, 1647–1649. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  28. Rozas, J.; Ferrer-Mata, A.; Sánchez-DelBarrio, J.C.; Guirao-Rico, S.; Librado, P.; Ramos-Onsins, S.E.; Sánchez-Gracia, A. DnaSP 6: DNA sequence polymorphism analysis of large data sets. Mol. Biol. Evol. 2017, 34, 3299–3302. [Google Scholar] [CrossRef] [PubMed]
  29. Xia, X. DAMBE5: A comprehensive software package for data analysis in molecular biology and evolution. Mol. Biol. Evol. 2013, 30, 1720–1728. [Google Scholar] [CrossRef] [Green Version]
  30. Team RC. R: A Language and Environment for Statistical Computing; R Foundation for Statistical Computing: Vienna, Austria. 2016. Available online: http://www.R-project.org/ (accessed on 25 October 2022).
  31. Ronquist, F.; Teslenko, M.; Van Der Mark, P.; Ayres, D.L.; Darling, A.; Höhna, S.; Larget, B.; Liu, L.; Suchard, M.A.; Huelsenbeck, J.P. MrBayes 3.2: Efficient Bayesian phylogenetic inference and model choice across a large model space. Syst. Biol. 2012, 61, 539–542. [Google Scholar] [CrossRef] [Green Version]
  32. Lam-Tung, N.; Schmidt, H.A.; Arndt, V.H.; Quang, M.B. IQ-TREE: A fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies. Mol. Biol. Evol. 2015, 32, 268–274. [Google Scholar]
  33. Drummond, A.J.; Suchard, M.A.; Xie, D.; Rambaut, A. Bayesian phylogenetics with BEAUti and the BEAST 1.7. Mol. Biol. Evol. 2012, 29, 1969–1973. [Google Scholar] [CrossRef] [Green Version]
  34. Rambaut, A.; Suchard, M.; Xie, W.; Drummond, A. Tracer v. 1.6; Institute of Evolutionary Biology, University of Edinburgh: Edinburgh, UK, 2014. [Google Scholar]
  35. Subha, K.; Bui, Q.M.; Thomas, K.F.W.; Arndt, V.H.; Lars, S.J. ModelFinder: Fast model selection for accurate phylogenetic estimates. Nat. Methods 2017, 14, 587–589. [Google Scholar]
  36. Rambaut, A. FigTree-v1.4.4. 2018. Available online: https://tree.bio.ed.ac.uk/software/Figtree/ (accessed on 19 August 2021).
  37. Kumar, S.; Stecher, G.; Tamura, K. MEGA7: Molecular evolutionary genetics analysis version 7.0 for bigger datasets. Mol. Biol. Evol. 2016, 33, 1870–1874. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  38. Sites, J.W., Jr.; Marshall, J.C. Delimiting species: A Renaissance issue in systematic biology. Trends Ecol. Evol. 2003, 18, 462–470. [Google Scholar] [CrossRef] [Green Version]
  39. Toews, D.P.; Brelsford, A. The biogeography of mitochondrial and nuclear discordance in animals. Mol. Ecol. 2012, 21, 3907–3930. [Google Scholar] [CrossRef]
  40. Ramsey, M.W.; Cairns, S.C.; Vaughton, G.V. Geographic variation in morphological and reproductive characters of coastal and tableland populations of Blandfordia grandiflora (Liliaceae). Plant Syst. Evol. 1994, 192, 215–230. [Google Scholar] [CrossRef]
  41. Singh, R.S.; Long, A.D. Geographic variation in Drosophila: From molecules to morphology and back. Trends Ecol. Evol. 1992, 7, 340–345. [Google Scholar] [CrossRef] [PubMed]
  42. How, R.; Schmitt, L.; Suyanto, A. Geographical variation in the morphology of four snake species from the Lesser Sunda Islands, eastern Indonesia. Biol. J. Linn. Soc. 1996, 59, 439–456. [Google Scholar] [CrossRef]
  43. Albrecht, G.H.; Miller, J. Geographic variation in primates. In Species, Species Concepts and Primate Evolution; Springer: Berlin/Heidelberg, Germany, 1993; pp. 123–161. [Google Scholar]
  44. Liu, Y.; Cotton, J.A.; Shen, B.; Han, X.; Rossiter, S.J.; Zhang, S. Convergent sequence evolution between echolocating bats and dolphins. Curr. Biol. 2010, 20, R53–R54. [Google Scholar] [CrossRef] [Green Version]
  45. Ellison, A.M.; Gotelli, N.J. Energetics and the evolution of carnivorous plants—Darwin’s ‘most wonderful plants in the world’. J. Exp. Bot. 2009, 60, 19–42. [Google Scholar] [CrossRef]
  46. Kelley, N.P.; Motani, R. Trophic convergence drives morphological convergence in marine tetrapods. Biol. Lett. 2015, 11, 20140709. [Google Scholar] [CrossRef] [Green Version]
  47. Moen, D.S.; Irschick, D.J.; Wiens, J.J. Evolutionary conservatism and convergence both lead to striking similarity in ecology, morphology and performance across continents in frogs. Proc. R. Soc. B Biol. Sci. 2013, 280, 20132156. [Google Scholar] [CrossRef] [Green Version]
  48. Chang, Y.; Song, S.; Li, A.; Zhang, Y.; Li, Z.; Xiao, Y.; Jiang, T.; Feng, J.; Lin, A. The roles of morphological traits, resource variation and resource partitioning associated with the dietary niche expansion in the fish-eating bat Myotis pilosus. Mol. Ecol. 2019, 28, 2944–2954. [Google Scholar] [CrossRef]
  49. Zhang, Q.; Liu, Q.; Yang, C.; Liu, H.; Peng, Z.; Liang, J.; Peng, X.; He, X.; Ma, S.; Xiang, Z.; et al. Discovery of Kashmir Cave Myotis Myotis longipes in Guangdong Province (China) and its echolocation calls. Chin. J. Zool. 2017, 52, 521–529. [Google Scholar]
  50. Yu, Z.; Wu, Q.; Shi, S.; Ren, R.; Liu, Y.; Feng, L.; Deng, X. The Kashmir Cave Myotis (Myotis longipes) was found in Hengdong County Hunan Province, China. Chin. J. Zool. 2018, 53, 701–708. [Google Scholar]
  51. Bates, P. Bats of the Indian Subcontinent; Harrison Zoological Museum: Sevenoaks, UK, 1997; 258p. [Google Scholar]
  52. Topal, G. A new mouse-eared bat species, from Nepal, with statistical analyses of some other species of subgenus Leuconoe (Chiroptera, Vespertilionidae). Acta Zool. Acad. Sci. Hung. 1997, 43, 375–402. [Google Scholar]
  53. Smith, A.T.; Xie, Y.; Hoffmann, R.S.; Lunde, D.; MacKinnon, J.; Wilson, D.E.; Wozencraft, W.C.; Gemma, F. A Guide to the Mammals of China; Princeton University Press: Princeton, NJ, USA, 2008. [Google Scholar]
  54. Baker, R.; Bradley, R. Speciation in mammals and the genetic species concept. J. Mammal. 2006, 87, 643–662. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  55. You, Y.; Sun, K.; Xu, L.; Wang, L.; Jiang, T.; Liu, S.; Lu, G.; Berquist, S.W.; Feng, J. Pleistocene glacial cycle effects on the phylogeography of the Chinese endemic bat species, Myotis davidii. BMC Evol. Biol. 2010, 10, 208. [Google Scholar] [CrossRef] [Green Version]
  56. You, Y.; Du, J.; Wang, L.; Jiang, T. Morphology variation among eleven local populations of the endemic Myotis davidii in China. Life Sci. J. 2021, 18, 54–63. [Google Scholar]
  57. Benda, P.; Gazaryan, S.; Vallo, P. On the distribution and taxonomy of bats of the Myotis mystacinus morphogroup from the Caucasus region (Chiroptera: Vespertilionidae). Turk. J. Zool. 2016, 40, 842–863. [Google Scholar] [CrossRef]
  58. Tinglei, J.; Huabin, Z.; Biao, H.; Libiao, Z.; Jinhong, L.; Ying, L.; Keping, S.; Wenhua, Y.; Yi, W.; Jiang, F. Research progress of bat biology and conservation strategies in China. Acta Theriol. Sin. 2020, 40, 539. [Google Scholar]
  59. Jones, G.; Parsons, S.; Zhang, S.; Stadelmann, B.; Benda, P.; Ruedi, M. Echolocation calls, wing shape, diet and phylogenetic diagnosis of the endemic Chinese bat Myotis pequinius. Acta Chiropterologica 2006, 8, 451–463. [Google Scholar] [CrossRef]
  60. Lu, G.; Lin, A.; Luo, J.; Blondel, D.V.; Meiklejohn, K.A.; Sun, K.; Feng, J. Phylogeography of the Rickett’s big-footed bat, Myotis pilosus (Chiroptera: Vespertilionidae): A novel pattern of genetic structure of bats in China. BMC Evol. Biol. 2013, 13, 241. [Google Scholar] [CrossRef] [Green Version]
Figure 1. Mitochondrial phylogenetic tree reconstructed based on 123 Cytb haplotypes. Values on the branches represent posterior probability (PP) and bootstrap percentage (BP). Geometries with different colors and shapes represent Myotis species. “Initial” represents the initially filed identification or the species information labelled in GenBank. “Revised” means the revised species names. The information on mitochondrial haplotypes was described in Table S3.
Figure 1. Mitochondrial phylogenetic tree reconstructed based on 123 Cytb haplotypes. Values on the branches represent posterior probability (PP) and bootstrap percentage (BP). Geometries with different colors and shapes represent Myotis species. “Initial” represents the initially filed identification or the species information labelled in GenBank. “Revised” means the revised species names. The information on mitochondrial haplotypes was described in Table S3.
Diversity 15 00805 g001
Figure 2. Principal component analysis based on five morphological characteristics. The first two principal components explained 88.77% and 6.77% of the total variance, respectively. Geometries with different colors and shapes represent Myotis species.
Figure 2. Principal component analysis based on five morphological characteristics. The first two principal components explained 88.77% and 6.77% of the total variance, respectively. Geometries with different colors and shapes represent Myotis species.
Diversity 15 00805 g002
Figure 3. (A) Phylogenetic tree based on concatenated nuclear genes. Values on the branches represent posterior probability (PP) and bootstrap percentage (BP). (B) Species tree constructed in *BEAST based on nuclear Rag2 and Chd1 genes. Values on the branch represent posterior probability. Geometries with different colors and shapes represent Myotis species.
Figure 3. (A) Phylogenetic tree based on concatenated nuclear genes. Values on the branches represent posterior probability (PP) and bootstrap percentage (BP). (B) Species tree constructed in *BEAST based on nuclear Rag2 and Chd1 genes. Values on the branch represent posterior probability. Geometries with different colors and shapes represent Myotis species.
Diversity 15 00805 g003
Figure 4. (A) Species tree constructed in *BEAST based on Cytb, Rag2, and Chd1 genes. Values on the branch represent posterior probability. (B) Heatmap of K2P genetic distance calculated based on mitochondrial Cytb gene (lower triangular) and concatenated nuclear genes (upper triangular). Geometries with different colors and shapes represent Myotis species and corresponds to the species on the left side.
Figure 4. (A) Species tree constructed in *BEAST based on Cytb, Rag2, and Chd1 genes. Values on the branch represent posterior probability. (B) Heatmap of K2P genetic distance calculated based on mitochondrial Cytb gene (lower triangular) and concatenated nuclear genes (upper triangular). Geometries with different colors and shapes represent Myotis species and corresponds to the species on the left side.
Diversity 15 00805 g004
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Liu, T.; Jia, J.; Liu, L.; Wang, J.; Chen, W.; Miao, G.; Niu, Y.; Guo, W.; Zhang, K.; Sun, K.; et al. New Insights into the Taxonomy of Myotis Bats in China Based on Morphology and Multilocus Phylogeny. Diversity 2023, 15, 805. https://doi.org/10.3390/d15070805

AMA Style

Liu T, Jia J, Liu L, Wang J, Chen W, Miao G, Niu Y, Guo W, Zhang K, Sun K, et al. New Insights into the Taxonomy of Myotis Bats in China Based on Morphology and Multilocus Phylogeny. Diversity. 2023; 15(7):805. https://doi.org/10.3390/d15070805

Chicago/Turabian Style

Liu, Tong, Jiachen Jia, Lingyu Liu, Jie Wang, Wenjie Chen, Guiyin Miao, Yilin Niu, Wei Guo, Kangkang Zhang, Keping Sun, and et al. 2023. "New Insights into the Taxonomy of Myotis Bats in China Based on Morphology and Multilocus Phylogeny" Diversity 15, no. 7: 805. https://doi.org/10.3390/d15070805

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop