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Article

Morphology and Mitochondrial Lineage Investigations Corroborate the Systematic Status and Pliocene Colonization of Suncus niger (Mammalia: Eulipotyphla) in the Western Ghats Biodiversity Hotspot of India

1
Department of Marine Biology, Pukyong National University, Busan 48513, Republic of Korea
2
Mammal and Osteology Section, Zoological Survey of India, M Block, New Alipore, Kolkata 700053, India
3
Western Ghat Regional Centre, Zoological Survey of India, Kozhikode 673006, India
4
Research Center for Marine Integrated Bionics Technology, Pukyong National University, Busan 48513, Republic of Korea
5
Marine Integrated Biomedical Technology Center, National Key Research Institutes in Universities, Pukyong National University, Busan 48513, Republic of Korea
*
Author to whom correspondence should be addressed.
Genes 2023, 14(7), 1493; https://doi.org/10.3390/genes14071493
Submission received: 14 June 2023 / Revised: 17 July 2023 / Accepted: 21 July 2023 / Published: 22 July 2023
(This article belongs to the Special Issue Population Genetics of Wildlife Animals)

Abstract

:

Simple Summary

The current study reassesses the systematic status of Suncus niger from its original geographical distribution in Southern India. Both morphology and mitochondrial genetic data clearly distinguish S. niger (endemic to India) from Suncus montanus (endemic to Sri Lanka) and substantiate the prior hypothesis of a distinct species. Furthermore, the present study adds new range extension, elevation records, and Pliocene colonization for this small mammal in the Western Ghats biodiversity hotspot. Given the matrilineal affinities between Indian and African lineages, and their recent transcontinental colonization, we believe that more in-depth genomic studies, including divergence time estimation, are crucial to clarify the global evolutionary trend of Soricomorphs.

Abstract

The Indian highland shrew, Suncus niger (Horsfield, 1851), is the least studied soricid species from its original range distribution in Southern India, with several systematics conundrums. Following its discovery in 1851, the species was synonymized with Suncus montanus (Kelaart, 1850) (endemic to Sri Lanka) and subsequently identified as a separate Indian population. However, the systematic status of S. niger from topotype specimens in Southern India has yet to be determined through an integrated approach. Both taxonomy and mitochondrial genetic data (Cytochrome b and 16S ribosomal RNA) were used to re-examine the systematics of S. niger. The mtCytb gene clearly distinguished topotypic S. niger from other Suncus species, with high genetic divergences varying from 8.49% to 26.29%. Further, the Bayesian and maximum likelihood topologies clearly segregated S. niger from other congeners and corroborated the sister relationship with S. stoliczkanus with expected divergence in the late Pliocene (2.62 MYA). The TimeTree analysis also exhibits a strong matrilineal affinity of S. dayi (endemic to India) toward the African species. The current study hypothesizes that the ancestor of the soricids evolved in Africa and that genetic lineages were subsequently shifted by plate tectonic events that subsequently colonized different continents as distinct species during the late Miocene (Tortonian) to the Holocene era. In addition to the new range expansion and elevation records of S. niger in the Central Western Ghats, we propose that additional sampling across its distribution, as well as the use of multiple genetic markers, may be useful in determining the genetic diversity and population structure of this endemic species. The present study also recommends that more molecular data on the Soricomorphs lineages, and estimates of their divergence times, will shed light on the evolution of these small mammals on Earth.

1. Introduction

The genus of shrews Suncus (family Soricidae) comprises 18 species that are broadly distributed in Africa, Europe, and Asia, according to the most recent systematics re-evaluation (Palawanosorex ater is elevated from the genus Suncus) [1,2]. This genus Suncus (four upper unicuspids) can be distinguished from the nearest genus Crocidura (three upper unicuspids) using a dental formula [3]. A total of five Suncus species, Day’s Shrew Suncus dayi, Etruscan Shrew Suncus etruscus, Asian Musk Shrew Suncus murinus, Indian Highland Shrew S. niger, and Anderson’s Shrew Suncus stoliczkanus are inhabiting India; among them, S. dayi and S. niger are endemic to the country. The Indian Highland Shrew, S. niger with type locality = Madras in southern India [4] was treated as a subspecies of Sorex montanus (=Suncus montanus) [5], based on the external morphology [1,6]. The most current systematics evaluation distinguished these two species, S. niger for the Indian populations and S. montanus for the Sri Lankan populations [7,8]. However, these studies were restricted to previously generated genetic data of the Suncus species known as S. montanus requiring reevaluation of topotypes from its original distribution.
In addition to traditional taxonomy, molecular methods have been extensively used to assess the systematics, evolutionary relationships, and zoogeographic genetic diversity of Suncus species in Africa, the Middle East, and Southeast Asia [2,7,8,9,10,11,12,13,14,15,16,17]. Particularly the mitochondrial genes (Cytb and 16S rRNA) were found to be useful in re-evaluating the phylogeny of Suncus species, mainly focusing on groups from Western Asia, Southeast Asia, and Africa [18,19,20,21,22,23,24,25,26]. Nonetheless, the population genetic structure and phylogeography of S. murinus were disclosed based on mitochondrial gene variations and protein electrophoresis from various localities in South Asia and Southeast Asia. [27,28,29]. In addition to partial loci and multiple loci, the entire mitogenome of Suncus was also examined to determine the genomic organization, as well as the evolutionary trend of placental mammals [30,31].
Apart from the systematics research, the IUCN SSC Small Mammal Specialist Group (SMSG) assessed and categorized the status of S. montanus in both Sri Lankan and Indian (S. niger) as vulnerable due to significant risks such as habitat loss, farming growth, pesticide use, and forest fires. Although the IUCN SSC SMSG has not individually assessed the severely endangered S. niger since 2008, it is extremely important to protect this endemic species in the Western Ghats biodiversity hotspot. Six priority regions (Cameroon, Albertine Rift, Tanzania, Ethiopia, South Western Ghats in India, and Sri Lanka) were identified as globally threatened eulipotyphlans, which comprise 39.5% of all extant eulipotyphlan species (18.2% critically endangered, 41.0% endangered, and 46.2% vulnerable) and 17.6% of all species [32]. This area (Western Ghats biodiversity hotspot) has also been designated as a UNESCO World Heritage Natural Site due to its extraordinary geo-physical features and tropical environment; therefore, special attention is needed to protect the living biodiversity of this biogeographic region. Hence, the current research aimed to investigate S. niger from its original distribution in Southern India, combining morphology and genetic data to re-evaluate its systematics classification and distribution, evolutionary relationship, and potential diversification. Hence, the current research aimed to investigate S. niger from Southern India, combining morphology and genetic data to re-evaluate its systematics classification and distribution, evolutionary relationship, and diversification. We are confident that such research will aid in species recognition and range distribution, genetic diversity estimation, and the development of exact conservation strategies for the studied species and other non-volant animals in the near future.

2. Materials and Methods

2.1. Sampling and Morphological Analyses

Three adult males of Suncus niger were captured near Hulikal camp, Mookambika Wildlife Sanctuary, Udupi, Karnataka, India (13.725 N 75.010 E) through a pitfall method (Figure 1). Due to the nocturnal and secretive behavior of Suncus species and their vulnerability, three wild living specimens were used for this study. The external measurements were taken in the field, including length of head and body (HBL), length of tail (TL), height of ear (EH), and length of hindfoot excluding claw (HFL), as per standard method [33]. The craniodental measurements (GL: greatest length of skull; BL: basal length; CL: condylobasal length; MTR: length of maxillary tooth row; PL: palatal length; LR: length of rostrum; BB: breadth of braincase; PW: breadth of palate between the buccal margins of second molars; HB: height of braincase; ML: mandible length; LDT: length of dentary teeth excluding incisors; and DD: depth of dentary) were taken after skull extraction [33]. The morphological analyses of S. niger were performed as per standard protocol and the external and craniodental measurements were compared with other closely related species from the available museum specimens at the National Zoological Collections of the Zoological Survey of India (S. murinus: 16523, 16531, 16536, 16533, 16613 and S. stoliczkanus: 16217, 16218, 21398, 21399) and previous studies [8,22,34,35]. Furthermore, due to the lack of relevant biological materials, only a few morphological measurements (HBL, TL, EH, and HFL) of S. zeylanicus could obtain from the Global Biodiversity Information Facility (GBIF) database (https://www.gbif.org/species/2435505, accessed on 6 June 2023). Both tissue samples and skulls were vouchered in the National Zoological Collections of the Western Ghat Regional Centre (WGRC), Zoological Survey of India (ZSI), Kozhikode, India, under the registration numbers ZSI/WGRC/V.3624, ZSI/WGRC/V.3636, and ZSI/WGRC/V.3637. The experimental protocols were approved by the host institutions and were exhibited in accordance with relevant guidelines in compliance with ARRIVE 2.0. Guidelines [36].

2.2. DNA Extraction and Amplification

The total genomic DNA was extracted from the muscle tissues of three specimens of S. niger by the standard phenol–chloroform isoamyl alcohol method [37]. The primer pairs, mcb 398 (5′-TACCATGAGGACAAATATCATTCTG-3′) and mcb 869 (5′-CCTCCTAGTTTGTTAGGGATTGATCG-3′) and L2510 (5′-CGCCTGTTTATCAAAAACAT-3′) and H3059 (5′-CCGGTCTGAACTCAGATCACGT-3′), were used to amplify a partial segment of Cytb and 16S rRNA genes [38,39]. The 30 mL PCR mix contains 10 pmol of each primer, 20 ng of template DNA, 1X PCR buffer, 1.0–1.5 mM of MgCl2, 0.25 mM of each dNTP, and 1 U of High-fidelity Platinum Taq DNA Polymerase (Invitrogen, Life Science Technologies). The PCR reaction was executed in Veriti Thermal Cycler (Applied Bio systems, Foster City, CA, USA) with the standard thermal profile. The PCR products were cleaned using a QIAquick Gel Extraction Kit (QIAGEN Inc., Germantown, MD, USA) with the usual protocol. The cycle sequencing was performed by using BigDye Terminator ver. 3.1 Cycle Sequencing Kit (Applied Biosystems, Foster City, CA, USA). The bi-directional Sanger sequencing was accomplished by the Genetic Analyzer (Applied Biosystems) housed at Rajiv Gandhi Centre for Biotechnology (RGCB), Thiruvananthapuram, Kerala, India.

2.3. Sequence Quality Check and Dataset Preparation

Both forward and reverse chromatograms were screened through the SeqScanner Version 1.0 (Applied Biosystems) to avoid the noisy part of each sequence. The consensus sequences were further checked through nucleotide BLAST search (https://blast.ncbi.nlm.nih.gov/Blast.cgi, accessed on 6 June 2023) and ORF finder (http://www.ncbi.nlm.nih.gov/gorf/gorf.html, accessed on 6 June 2023) to validate in comparison to the vertebrate amino acid sequence array. New sequences were deposited in the GenBank database (Table S1). Additionally, a total of 42 Cytb sequences of other Suncus species were gathered from GenBank for comparative analyses. Further, 21 16S rRNA sequences of S. murinus and S. montanus were also acquired from GenBank for dual confirmation (Table S1). Due to the incorrect annotation, we did not include the previously generated sequence of S. montanus (EF524776) in the present analyses [16]. The DNA sequences of Crocidura attenuata (MW815430) were used as outgroup taxa in the present analyses. The generated and database sequences were by ClustalX software to form two datasets [40]. The Kimura-2-parameter (K2P) genetic distances were calculated in MEGAX for both Cytb and 16S rRNA datasets [41].

2.4. Phylogenetic Analyses and Time Tree

To perform the phylogenetic analyses, two different datasets were constructed with Cytb and 16S rRNA genes, respectively. The best-fit models were estimated by using JModelTest v2 with the lowest BIC (Bayesian information criterion) scores [42]. The Bayesian inference topologies were built by Mr. Bayes 3.1.2 by choosing nst = 6 with one cold and three hot chains (Metropolis-coupled Markov chain Monte Carlo). The program was run for 10,000,000 generations with tree sampling at every 100 generations with 25% of samples rejected as burn-in [43]. The topologies were edited by iTOL v6.8 webserver (https://itol.embl.de/login.cgi, accessed on 6 June 2023) [44]. To estimate the divergence time, the TimeTree analysis was performed using the RelTime method [45,46]. The baseline maximum likelihood (ML) tree was built in MEGA X with TN93 + G + I substitution model (lowest BIC score) [47]. The TimeTree was computed with a single calibration constraint of the split between the basal African major Suncus clade and the Eurasian Suncus that occurred 10.8 MYA ago (range 7.6–14.0) as ensued in a previous study [9].

3. Results

3.1. Morphological Evidence

The external and cranial measurements of S. niger (HBL: 80–110 mm) allow us to differentiate it from its congeners distributed in India and Sri Lanka. Suncus niger is smaller than S. montanus (HBL: 87.3–121.5 mm), S. zeylanicus (HBL: 108–114 mm), and S. murinus (HBL: 100–160 mm), whereas it is larger than S. dayi (HBL: 70–78 mm), S. etruscus (HBL: 42.1–42.4 mm), S. fellowesgordoni (HBL: 44–49.4 mm) and S. stoliczkanus (HBL: 68–85 mm) (Table 1). S. niger is comparatively smaller in the length of head and body, tail, hindfoot, and craniodental characteristics than S. montanus, though there is overlap to some degree between the two species (Table 1). Further, all dimensions of external and craniodental characters show that S. niger is a larger size than S. stoliczkanus and considers two different species morphologically (Table 1, Figure 2 and Figure 3). In addition to the external morphometrics, S. niger has a blackish body throughout compared with other congeners.

3.2. Molecular Identification and Genetic Divergence

In the partial Cytb gene (427 bp), the overall mean genetic distance of the present dataset of Suncus species was 14.3%. Our specimens of S. niger showed 98.29–99.29% similarity with S. niger (S. montanus) (DQ630388, from Kotagiri, Tamil Nadu, India) through nucleotide BLAST search. The Cytb sequences comprise an average of 58.89% AT composition in Suncus species. A total of 38% variable sites were detected in the partial Cytb sequences among Suncus species, while 2% variable sites were found in S. niger. The targeted species, S. niger showed substantial genetic distances from other Suncus species ranging from 8.49% (S. stoliczkanus) to 26.29% (S. hututsi). Suncus niger also maintained an 8.66% genetic distance from S. montanus, which was considered the most closely related species. The intra-species genetic distance ranged from 0% to 1.65%, except for S. murinus. An exceptionally high intra-species genetic distance (3.68%) was observed in S. murinus. The inter-species genetic distance ranged from 3.15% to 26.29% (Table 2).
The genetic distinctiveness of S. niger was further tested by the mt 16S rRNA gene. The generated 16S rRNA sequence showed 99.08–99.82% similarity with S. montanus (DQ630304 and EF524884) from Tamil Nadu, India through nucleotide BLAST search. The 16S rRNA sequences (580 bp) comprise an average of 59.3% AT composition in all Suncus species with 58.9–59.2% in S. niger. A total of 6% variable sites were detected in the partial 16S rRNA gene among all Suncus species, while 1.2% variable sites were found in S. niger. The overall mean genetic distance (16S rRNA) of all three species was 1.9%. In the 16S rRNA gene, S. niger showed 3.37% and 3.39% genetic distance with S. montanus and S. murinus, respectively (Table 2). The intra-species genetic distance ranged from 0.52% (S. niger) to 1.26% (S. montanus). Overall, both Cytb and 16S rRNA sequences clearly discriminated S. niger from other Suncus species with high genetic divergence.

3.3. Matrilineal Phylogeny and Divergence Time

The Cytb and 16S rRNA genes unambiguously differentiated all Suncus species in the Bayesian phylogeny (Figure 4). Our sequences of S. niger showed distinct monophyletic clustering in both mitochondrial genes. Suncus niger maintained a close connection with S. stoliczkanus in the mtCytb tree, as shown in the previous study [7,25]. According to both Cytb and 16S rRNA species trees, S. niger early split from the basal node of S. montanus and S. murinus (Figure 4A,B). The mtCytb-based BA topology showed three major clades of Suncus: African clade (S. megalura, Suncus varilla, Suncus remyi, and S. hututsi), Eurasian clade (S. etruscus, S. madagascariensis, S. malayanus, and S. fellowesgordoni), and Asian clade (S. dayi, S. stoliczkanus, S. niger, S. murinus, and S. montanus) (Figure 4A). Except for S. etruscus and S. madagascariensis species complex, other Suncus species showed genetic distances between 3.68% to 7.77% in the mtCytb gene.
The current ML-based RelTime analysis in the Cytb gene revealed a similar topology with Bayesian inference, which is consistent with previous studies [9,10]. The TimeTree showed that S. niger diverged during the late Pliocene (≈2.62 MYA) (Figure 5). According to the current mitochondrial gene-based relaxed molecular clock, S. megalura is the most distantly related species to all Suncus members. On the other hand, the Asian species, S. dayi (endemic to India), showed significant affinity towards African species and separated from other Suncus during the Miocene (≈11.60 MYA) (Figure 5).

4. Discussion

The actual number of animal extinctions over the last 100 years informs us of the continuing worldwide sixth mass extinction caused by anthropogenic activity, climate change, and ecological decline [48,49]. As a result, life protection is a priority in order to support ecosystem and human well-being via a new unified idea and the execution of worthwhile conservation strategies [50]. Currently, evaluation teams are highly skewed toward launching numerous conservation initiatives for higher vertebrate and/or charismatic species. In this situation, we are pushing many putative species towards extinction before we even realize it [51,52]. In the zoological study, taxonomic confirmation is critical for any name-bearing taxa. Hence, incorporating molecular methods, in addition to conventional morphometric measurements, is now a fundamental prerequisite of systematics research. Such combined knowledge also aids in assessing the status of any species and developing conservation action plans to keep it in its ecosystem.
Small mammals, such as non-volant species, are less concentrated groups in terms of evaluation and protection than larger mammals. Among all Soricomorphs, Suncus is one of the barely studied groups compared to other groups such as Crocidura, requiring in-depth taxonomic assessment across their vast zoogeography [25]. The morphological characteristics of Suncus species often overlap, leading to misunderstandings during taxonomic evaluation. To address these issues, machine learning methods were recently employed to differentiate the S. murinus species complex in Peninsular Malaysia [53]. Prior to this study, although the identity and systematics of the Indian endemic eutherian (S. niger) were well accepted [7,8,54,55], it was necessary to reassess this taxon from its type locality. Both morphometric and molecular data verified the species status of S. niger in the current research, which is consistent with the prior hypothesis [7,8,25]. The external appearance of S. niger is mostly similar to the Asian Musk Shrew (S. murinus), but distinguished by the overall blackish body including its hands, feet, tail, ears, and muzzle, and relatively smaller. S. niger has a dark slender tail with black hairs and is extremely docile, and non-squeaky unlike S. murinus; with regards to habitat differentiation, S. niger is a forest-dwelling species and S. murinus lives near human habitation [34]. Except for the body color and habitat, S. niger is previously evidenced as a distinct species based on the differences in size in comparison with its relative species [1,6]. To corroborate the taxonomic identity of S. niger, both external and craniodental parameters were measured and compared with the closely related species (S. dayi, S. etruscus, S. fellowesgordoni, S. montanus, S. murinus, and S. stoliczkanus) distributed in India and Sri Lanka [8]. In small mammals, morphology alone cannot discriminate; therefore, discrete morphological characters are needed to investigate them at the species level. Furthermore, the molecular data clearly separated S. niger from S. montanus (restricted to Sri Lanka) and other species distributed in Asia, Africa, and Europe, which is consistent with pre-suggested genetic distance (≥8%) as significant for elucidating species level discrimination [56,57].
The separation of India–Madagascar–Seychelles from the African plate occurred during the Middle Jurassic through the latest Eocene (166–35 MYA) [58], long before soricids evolved. However, the evolutionary relationship of Asian Suncus (S. dayi) and African Suncus (S. varilla, S. hututsi, S. remyi, and S. megalura) hints at an ancestral link between these continents prior to prehistoric Gondwana vicariance, and that both landmasses exchanged ancestral genetic lineages that later evolved into distinct species through independent transcontinental colonization as depicted in previous studies [59,60]. However, we could not rule out the alternative explanation that the ancestor of soricids diverged before the separation of Laurasia and Gondwana and that both African and Asian lineages were later confined, respectively. Both Indian and Sri Lankan large-bodied mobile mammals are genetically similar, and their diversification has been significantly influenced by plate tectonic events following Pangea’s split and reconnection with Asia after the Paleocene [61]. However, the evolutionary pattern of Indian (endemic to Western Ghats) and Sri Lankan animals is debatable, with modern Indian mammals evolving through the ‘out-of-India’ or ‘out-of-Asia’ hypothesis [61,62,63]. The strong link between S. niger and S. stoliczkanus in the present TimeTree indicates that their diversification occurred independently on the Asian continent at the same time. This baseline data will spur further research using mitochondrial and nuclear genetic markers to determine the actual diversification of Suncus species. Furthermore, there is evidence of multiple populations of the Asiatic house shrew (S. murinus) and the Etruscan shrew (S. etruscans) spanning different continents (Africa, Europe, and Asia) and insular islands [23,24,27,28,29,64]. Hence, large-scale investigations using an integrated approach are needed for these two species, especially for Southern Europe and Southeast Asian countries, to better understand the hidden diversity and spectacular island radiations as observed in other Soricids species [65].
In terms of habits and habitats, S. niger is nocturnal, crepuscular, semi-fossorial, and lives far from human settlement [66,67]. This species is restricted to the wet, humid, and montane forests of southern India’s Western Ghats (Nilgiris, Palani hills, Coorg), at elevations ranging from 900 to 2400 m asl [66,68]. In a tropical montane environment in the Western Ghats, this endemic shrew prefers habitats with higher tree density and ground cover, and lower canopy height [69]. Although distinct patterns of various environments are evident, microhabitat selection and segregation are limited in these small animals, which may be influenced by intraspecific competition in these groups [69]. Based on the external morphology, a recent study recorded S. niger from the Bababudan Hills (13.437945 N 75.758163 E, 1707 m asl) in the state of Karnataka, India [54]. However, the current record at Mookambika Wildlife Sanctuary (85 km northwest of the latest record) in the state of Karnataka provides a new range extension and the lowest elevation (600 m asl) habitat of S. niger. This sanctuary encompasses tropical evergreen forests semi-evergreen forests, wet mixed deciduous forests, and dry grasslands (Government of Karnataka-Forest Department: Management Plan, Mookambika Wildlife Sanctuary, https://aranya.gov.in/downloads/Kollur_MgmtPlan.pdf, accessed on 6 June 2023). Thus, the current finding demonstrates the occurrence of S. niger in a wet mixed deciduous forest at the lowest elevation as well as inside and outside of the protected areas, which has to be investigated further. Aside from climate change, a slew of other threats, such as forest fragmentation, agricultural expansion, human encroachment, and road construction, put a strain on the current population of small mammals in this region [70,71]. The data provided here will aid in the evaluation of this restricted-range mammal species in the near future, as well as decipher information to support conservation action plans to safeguard them in the wild. The current research further promotes population structure studies of this vulnerable mammal in the insular habitat of the Western Ghats Biodiversity hotspot to protect its endemism and evolutionary potential.

5. Conclusions

The current research re-evaluates the species status of the Indian Highland Shrew, S. niger, from its type locality in the Western Ghats biodiversity hotspot in India. Suncus niger was readily delineated from other congeners based on morphometric and molecular data (Cytb and 16S rRNA genes). The present study also provides new range expansion and height records for this small mammal. The genetic distance and phylogeny are consistent with the genetic species concept for mammals. The present study reasserted that S. niger is genetically related to S. stoliczkanus rather than S. montanus. The estimated divergence times and evolutionary trends reveal that the ancestral genetic lineages of Suncus may have dispersed from Africa to other continents, and that these genetic components later differentiated into separate species by independent transcontinental colonization. However, we believe that large-scale efforts in taxonomic, ecological, and genomics research are required to fully understand the diversity, population structure, and evolutionary linkages of Suncus species throughout the world. Such a combined strategy will also aid in the development of effective conservation action plans for these small mammals in their environment.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/genes14071493/s1, Table S1. Details of the generated and GenBank sequences of S. species used in the present datasets [72,73].

Author Contributions

Conceptualization: S.K. and H.-W.K.; methodology: S.K. and M.K.; software: S.K. and A.R.K.; validation: S.K. and H.-W.K.; formal analysis: S.K., M.K., and A.R.K.; investigation: S.K. and M.K.; resources: D.B. and H.-W.K.; data curation: S.K., M.K., and V.D.H.; writing—original draft: S.K. and M.K.; writing—review and editing: S.K., M.K., V.D.H. and H.-W.K.; visualization: D.B., W.-K.J., Y.-M.K. and H.-W.K.; supervision: D.B. and H.-W.K.; project administration: S.K., W.-K.J., Y.-M.K. and H.-W.K.; funding acquisition: D.B. and H.-W.K. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF), funded by the Ministry of Education (2021R1A6A1A03039211) and partially supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF), funded by the Ministry of Education (2020R1I1A3072978), and core funding of Zoological Survey of India, Ministry of Environment, Forest and Climate Change (MoEF&CC), Govt. of India.

Institutional Review Board Statement

Prior permission was obtained from the Karnataka Forest Department for Survey at the Mookambika Wildlife Sanctuary in Karnataka, India. The studied species is neither listed in the IUCN Red List of Threatened Species nor the Indian Wildlife (Protection) Act, 1972. So, no specific permission was needed for sampling. The animal was handled as per the guidelines of the American Society of Mammalogists for the use of wild mammals in research (Robert S. Sikes, the Animal Care and Use Committee of the American Society of Mammalogists, 2016). The host institutions approved the molecular data generation and analyses (Pukyong National University and Zoological Survey of India).

Informed Consent Statement

Not applicable.

Data Availability Statement

The nucleotide sequence data that support the findings of this study are openly available in GenBank of NCBI at [https://www.ncbi.nlm.nih.gov] under accession Nos. OQ596434, OR088213, and OR088214 (Cytb) and OQ600602, OR077329, and OR077330 (16s rRNA).

Acknowledgments

The first author (S.K.) acknowledges the Global Postdoc Program fellowship grant received from the Pukyong National University, Republic of Korea. The authors are grateful to the Principle Chief Conservator of Forests (PCCF), Karnataka Forest Department for the necessary permission to carry out the survey and sampling at the Mookambika Wildlife Sanctuary, Karnataka, India.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Hutterer, R. Order Soricomorpha. In Mammal Species of the World: A Taxonomic and Geographic Reference; Wilson, D.E., Reeder, D.M., Eds.; The Johns Hopkins University Press: Baltimore, MD, USA, 2005; pp. 220–311. [Google Scholar]
  2. Nations, J.A.; Giarla, T.C.; Morni, M.A.; William Dee, J.; Swanson, M.T.; Hiller, A.E.; Khan, F.A.A.; Esselstyn, J.A. Molecular data from the holotype of the enigmatic Bornean Black Shrew, Suncus ater Medway, 1965 (Soricidae, Crocidurinae), place it in the genus Palawanosorex. Zookeys 2022, 1137, 17–31. [Google Scholar] [CrossRef] [PubMed]
  3. Kamalakannan, M.; Sivaperuman, C.; Kundu, S.; Gokulakrishnan, G.; Venkatraman, C.; Chandra, K. Discovery of a new mammal species (Soricidae: Eulipotyphla) from Narcondam volcanic island, India. Sci. Rep. 2021, 11, 9416. [Google Scholar] [CrossRef] [PubMed]
  4. Horsfield, T. A catalogue of the Mammalia in The Museum of the Hon; EastIndia Company. J. & H. Cox: London, UK, 1851; p. 135. [Google Scholar]
  5. Kelaart, E.F. Description of new species and varieties of mammals found in Ceylon. J. Ceylon Branch R. Asiat. Soc. 1850, 2, 321–328. [Google Scholar]
  6. Corbet, G.B.; Hill, J.E. Mammals of the Indomalayan Region. A Systematic Review; Oxford University Press: Oxford, UK, 1992; p. 488. [Google Scholar]
  7. Meegaskumbura, S.; Schneider, C.J. A taxonomic evaluation of the shrew Suncus montanus (Soricidae: Crocidurinae) of Sri Lanka and India. Ceylon J. Sci. 2008, 37, 129–136. [Google Scholar] [CrossRef] [Green Version]
  8. Meegaskumbura, S.; Meegaskumbura, M.; Schneider, C.J. Systematic relationships and taxonomy of Suncus montanus and S. murinus from Sri Lanka. Mol. Phylogenet. Evol. 2010, 55, 473–487. [Google Scholar] [CrossRef]
  9. Dubey, S.; Salamin, N.; Ohdachi, S.D.; Barrière, P.; Vogel, P. Molecular phylogenetics of shrews (Mammalia: Soricidae) reveal timing of transcontinental colonizations. Mol. Phylogenet. Evol. 2007, 44, 126–137. [Google Scholar] [CrossRef] [Green Version]
  10. Dubey, S.; Salamin, N.; Ruedi, M.; Barrière, P.; Colyn, M.; Vogel, P. Biogeographic origin and radiation of the old world Crocidurine shrews (Mammalia: Soricidae) inferred from mitochondrial and nuclear genes. Mol. Phylogenet. Evol. 2008, 48, 953–963. [Google Scholar] [CrossRef] [Green Version]
  11. Stanhope, M.J.; Waddell, V.G.; Madsen, O.; de Jong, W.; Blair Hedges, S.; Cleven, G.C.; Kao, D.; Springer, M. Molecular evidence for multiple origins of Insectivora and for a new order of endemic African insectivore mammals. Proc. Natl. Acad. Sci. USA 1998, 95, 9967–9972. [Google Scholar] [CrossRef]
  12. Onuma, M.; Cao, Y.; Hasegawa, M.; Kusakabe, S. A Close Relationship of Chiroptera with Eulipotyphla (Core Insectivora) Suggested by Four Mitochondrial Genes. Zool. Sci. 2000, 17, 1327–1332. [Google Scholar] [CrossRef] [Green Version]
  13. Shinohara, A.; Campbell, K.L.; Suzuki, H. Molecular phylogenetic relationships of moles, shrew moles, and desmans from the new and old worlds. Mol. Phylogenet. Evol. 2003, 27, 247–258. [Google Scholar] [CrossRef]
  14. Willows-Munro, S. The Molecular Evolution of African Shrews (Family Soricidae). Unpublished Ph.D. Thesis, Stellenbosch University, Stellenbosch, South Africa, 2008. [Google Scholar]
  15. Megaaskumbura, S.; Megaaskumbura, M.; Schneider, C.J. Re-evaluation of the taxonomy of the Sri Lanka pigmy shrew Suncus fellowesgordoni (Soricidae: Crocidurinae) and its phylogenetic relationship with S. etruscus. Zootaxa 2012, 3187, 57–68. [Google Scholar] [CrossRef] [Green Version]
  16. Jacquet, F.; Nicolas, V.; Bonillo, C.; Cruaud, C.; Denys, C. Barcoding, molecular taxonomy, and exploration of the diversity of shrews (Soricomorpha: Soricidae) on Mount Nimba (Guinea). Zool. J. Linn. Soc. 2012, 166, 672–687. [Google Scholar] [CrossRef] [Green Version]
  17. Darvish, J.; Mahmoudi, A.; Pehpuri, A.; Saeidzadeh, S. New data on distribution and taxonomy of the genus Suncus (Mammalia: Soricidae) in Iran; molecular evidence. Iran. J. Anim. Biosyst. 2017, 13, 229–235. [Google Scholar]
  18. Quérouil, S.; Hutterer, R.; Barrière, P.; Colyn, M.; Kerbis Peterhans, J.C.; Verheyen, E. Phylogeny and evolution of African shrews (Mammalia: Soricidae) inferred from 16s rRNA sequences. Mol. Phylogenet. Evol. 2001, 20, 185–195. [Google Scholar] [CrossRef]
  19. Ohdachi, S.D.; Hasegawa, M.; Iwasa, M.A.; Abe, H.; Vogel, P.; Oshida, T.; Lin, L.K. Molecular phylogenetics of soricid shrews (Mammalia) based on mitochondrial cytochrome b gene sequences: With special reference to the Soricinae. J. Zool. 2006, 270, 177–191. [Google Scholar] [CrossRef]
  20. Omar, H.; Adamson, E.A.S.; Bhassu, S.; Goodman, S.M.; Soarimalala, V.; Hashim, R.; Ruedi, M. Phylogenetic relationships of Malayan and Malagasy pygmy shrews of the genus Suncus (Soricomorpha: Soricidae) inferred from mitochondrial cytochrome b gene sequences. Raffles Bull. Zool. 2011, 59, 237–243. [Google Scholar]
  21. Willows-Munro, S.; Matthee, C.A. Exploring the diversity and molecular evolution of shrews (family Soricidae) using mtDNA cytochrome b data, Afr. Zool. 2011, 46, 246–262. [Google Scholar]
  22. Meegaskumbura, S.; Meegaskumbura, M.; Schneider, C. Phylogenetic position of Suncus fellowesgordoni with pigmy shrews from Madagascar and Southeast Asia inferred from cytochrome-b. Ceylon J. Sci. 2012, 41, 83–87. [Google Scholar] [CrossRef] [Green Version]
  23. Ohdachi, S.D.; Kinoshita, G.; Oda, S.; Motokawa, M.; Jogahara, T.; Arai, S.; Nguyen, S.T.; Suzuki, H.; Katakura, K.; Bawm, S.; et al. Intraspecific phylogeny of the house shrews, Suncus murinus-S. montanus species complex, based on the mitochondrial cyt b gene. Mammal. Study 2016, 41, 229–238. [Google Scholar] [CrossRef] [Green Version]
  24. Ohdachi, S.D.; Kinoshita, G.; Nasher, A.K.; Yonezawa, T.; Arai, S.; Kikuchi, F.; Lin, K.S.; Bawm, S. Re-evaluation of the phylogeny based on mitochondrial cytochrome b gene in the house shrew, Suncus murinus-S. montanus species complex, with special reference to Yemen and Myanmar populations. J. Wildl. Biodivers. 2017, 1, 79–87. [Google Scholar]
  25. Shpirer, E.; Haddas-Sasson, M.; Spivak-Glater, M.; Feldstein, T.; Meiri, S.; Huchon, D. Molecular relationships of the Israeli shrews (Eulipotyphla: Soricidae) based on cytochrome b sequences. Mammalia 2021, 85, 79–89. [Google Scholar] [CrossRef]
  26. Meegaskumbura, S.; Meegaskumbura, M.; Schneider, C.J. Phylogenetic Relationships of the Endemic Sri Lankan Shrew Genera: Solisorex and Feroculus. Ceylon J Sci (Biol.. Sci.) 2014, 43, 65–71. [Google Scholar] [CrossRef] [Green Version]
  27. Yamagata, T.; Ohishi, K.; Faruque, M.O.; Masangkay, J.S.; Ba-Loc, C.; Vu-Binh, D.; Mansjoer, S.S.; Ikeda, H.; Namikawa, T. Genetic variation and geographic distribution on the mitochondrial DNA in local population of the musk shrew, Suncus murinus. Jpn. J. Genet. 1995, 70, 321–337. [Google Scholar] [CrossRef] [Green Version]
  28. Ruedi, M.; Courvoisier, C.; Vogel, P.; Catzeflis, F.M. Genetic differentiation and zoogeography of Asian Suncus murinus (Mammalia: Soricidae). Biol. J. Linn. Soc. 1996, 57, 307–316. [Google Scholar] [CrossRef] [Green Version]
  29. Kurachi, M.; Chau, B.L.; Dang, V.B.; Dorji, T.; Yamamoto, Y.; Nyunt, M.M.; Maeda, Y.; Chhum-Phith, L.; Namikawa, T.; Yamagata, T. Population structure of wild musk shrew (Suncus murinus) in Asia based on mitochondrial DNA variation, with research in Cambodia and Bhutan. Biochem. Genet. 2007, 45, 165–183. [Google Scholar] [CrossRef]
  30. Chen, S.; Wei, H.; Peng, H.; Yong, B. The complete mitogenome of Asian House Shrews, Suncus murinus (Soricidae). Mitochondrial DNA Part A DNA Mapp. Seq. Anal. 2016, 27, 1127–1128. [Google Scholar] [CrossRef]
  31. Murphy, W.J.; Eizirik, E.; O’Brien, S.J.; Madsen, O.; Scally, M.; Douady, C.J.; Teeling, E.; Ryder, O.A.; Stanhope, M.J.; de Jong, W.W.; et al. Resolution of the early placental mammal radiation using bayesian phylogenetics. Science 2001, 294, 2348–2351. [Google Scholar] [CrossRef]
  32. Kennerley, R.J.; Lacher, T.E.; Hudson, M.A.; Long, B.; McCay, S.D.; Roach, N.S.; Turvey, S.T.; Young, R.P. Global patterns of extinction risk and conservation needs for Rodentia and Eulipotyphla. Divers. Distrib. 2021, 27, 1792–1806. [Google Scholar] [CrossRef]
  33. Hutterer, R.; Balete, D.S.; Giarla, T.C.; Heaney, L.R.; Esselstyn, J.A. A new genus and species of shrew (Mammalia: Soricidae) from Palawan Island, Philippines. J. Mammal. 2018, 99, 518–536. [Google Scholar] [CrossRef] [Green Version]
  34. Menon, V. Indian Mammals—A Field Guide; Hachette Book Publishing India Pvt. Ltd.: Gurgaon, India, 2014; pp. 336–341. [Google Scholar]
  35. Jenkins, P.; Ruedi, M.; Catzeflis, M. A biochemical and morphological investigation of Suncus dayi (Dobson, 1888) and discussion of relationship in Suncus Hemprich & Ehrenberg, 1833, Crocidura Wagler, 1832, and Sylvisorex Thomas, 1904 (Insectivora: Soricidae). Bonn. Zool. Bull. 1998, 47, 257–276. [Google Scholar]
  36. Percie du Sert, N.; Hurst, V.; Ahluwalia, A.; Alam, S.; Avey, M.T.; Baker, M.; Browne, W.J.; Clark, A.; Cuthill, I.C.; Dirnagl, U.; et al. The ARRIVE guidelines 2.0: Updated guidelines for reporting animal research. PLoS Biol. 2020, 18, e3000410. [Google Scholar]
  37. Sambrook, J.; Russell, D.W. Molecular Cloning: A Laboratory Manual, 3rd ed.; Cold Spring Harbor Laboratory Press: New York, NY, USA, 2001; Volume 1. [Google Scholar]
  38. Verma, S.K.; Singh, L. Novel universal primers establish identity of an enormous number of animal species for forensic application. Mol. Ecol. Notes 2002, 3, 28–31. [Google Scholar] [CrossRef]
  39. Palumbi, S.R. Nucleic Acids II: The Polymerase Chain Reaction. In Molecular Systematics; Hillis, D.M., Moritz, C., Mable, B.K., Eds.; Sinauer Associates: Sunderland, MA, USA, 1996; pp. 205–207. [Google Scholar]
  40. Thompson, J.D.; Gibson, T.J.; Plewniak, F.; Jeanmougin, F.; Higgins, D.G. The CLUSTAL_X windows interface: Flexible strategies for multiple sequence alignment aided by quality analysis tools. Nucleic Acids Res. 1997, 25, 4876–4882. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  41. Kumar, S.; Stecher, G.; Li, M.; Knyaz, C.; Tamura, K. MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms. Mol. Biol. Evol. 2018, 35, 1547–1549. [Google Scholar] [CrossRef]
  42. Darriba, D.; Taboada, G.L.; Doallo, R.; Posada, D. JModelTest 2: More models, new heuristics and parallel computing. Nat. Methods 2012, 9, 772. [Google Scholar] [CrossRef] [Green Version]
  43. Ronquist, F.; Huelsenbeck, J.P. MrBayes 3: Bayesian phylogenetic inference under mixed models. Bioinformatics 2003, 19, 1572–1574. [Google Scholar] [CrossRef] [Green Version]
  44. Letunic, I.; Bork, P. Interactive Tree Of Life (iTOL) v5: An online tool for phylogenetic tree display and annotation. Nucleic Acids Res. 2021, 49, W293–W296. [Google Scholar] [CrossRef] [PubMed]
  45. Tamura, K.; Battistuzzi, F.U.; Billing-Ross, P.; Murillo, O.; Filipski, A.; Kumar, S. Estimating Divergence Times in Large Molecular Phylogenies. Proc. Natl. Acad. Sci. USA 2012, 109, 19333–19338. [Google Scholar] [CrossRef] [PubMed]
  46. Tamura, K.; Tao, Q.; Kumar, S. Theoretical Foundation of the RelTime Method for Estimating Divergence Times from Variable Evolutionary Rates. Mol. Biol. Evol. 2018, 35, 1770–1782. [Google Scholar] [CrossRef] [PubMed]
  47. Tamura, K.; Nei, M. Estimation of the number of nucleotide substitutions in the control region of mitochondrial DNA in humans and chimpanzees. Mol. Biol. Evol. 1993, 10, 512–526. [Google Scholar]
  48. Teixeira, J.C.; Huber, C.D. The inflated significance of neutral genetic diversity in conservation genetics. Proc. Natl. Acad. Sci. USA 2021, 118, e2015096118. [Google Scholar] [CrossRef] [PubMed]
  49. Cowie, R.H.; Bouchet, P.; Fontaine, B. The Sixth Mass Extinction: Fact, fiction or speculation? Biol. Rev. Camb. Philos. Soc. 2022, 97, 640–663. [Google Scholar] [CrossRef] [PubMed]
  50. Pimm, S.L.; Jenkins, C.N.; Abell, R.; Brooks, T.M.; Gittleman, J.L.; Joppa, L.N.; Raven, P.H.; Roberts, C.M.; Sexton, J.O. The biodiversity of species and their rates of extinction, distribution, and protection. Science 2014, 344, 1246752. [Google Scholar] [CrossRef] [PubMed]
  51. Costello, M.J.; May, R.M.; Stork, N.E. Can we name Earth’s species before they go extinct? Science 2013, 339, 413–416. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  52. Lees, A.C.; Pimm, S.L. Species, extinct before we know them? Curr. Biol. 2015, 25, R177–R180. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  53. Abu, A.; Leow, L.K.; Ramli, R.; Omar, H. Classification of Suncus murinus species complex (Soricidae: Crocidurinae) in Peninsular Malaysia using image analysis and machine learning approaches. BMC Bioinform. 2016, 17, 505. [Google Scholar] [CrossRef] [Green Version]
  54. Sagar, H.S.S.C.; Girish, D.V.; Bharath, C.V.; Madhusudhan, M.C.; Sharath, I.M.; Kumar, K.; Amarnath, B.; Surya, M.M. Indian Shrew: First record of Hill Shrew Suncus niger from the Bababudan Hills, Chikkamagaluru District, Western Ghats, Karnataka, India. Small Mammal Mail#414. Zoo’s Print 2017, 32, 34–36. [Google Scholar]
  55. Burgin, C.J.; He, K. Family Soricidae (shrews). In Handbook of the Mammals of the World, Insectivores, Sloths, and Colugos; Wilson, D.E., Mittermeier, R.A., Eds.; Lynx Edicions: Barcelona, Spain, 2018; Volume 8, pp. 332–551. [Google Scholar]
  56. Bradley, R.D.; Baker, R.J. A Test of the Genetic Species Concept: Cytochrome-b Sequences and Mammals. J. Mammal. 2001, 82, 960–973. [Google Scholar] [CrossRef]
  57. Baker, R.J.; Bradley, R.D. Speciation in Mammals and the Genetic Species Concept. J. Mammal. 2006, 87, 643–662. [Google Scholar] [CrossRef] [Green Version]
  58. Ali, J.R.; Aitchison, J.C. Gondwana to Asia: Plate tectonics, paleogeography and the biological connectivity of the Indian sub-continent from the Middle Jurassic through latest Eocene (166–35 Ma). Earth Sci. Rev. 2008, 88, 145–166. [Google Scholar] [CrossRef]
  59. Dubey, S.; Koyasu, K.; Parapanov, R.; Ribi, M.; Hutterer, R.; Vogel, P. Molecular phylogenetics reveals Messinian, Pliocene, and Pleistocene colonizations of islands by North African shrews. Mol. Phylogenet. Evol. 2008, 47, 877–882. [Google Scholar] [CrossRef] [Green Version]
  60. Warren, B.H.; Strasberg, D.; Bruggemann, J.H.; Prys-Jones, R.P.; Thébaud, C. Why does the biota of the Madagascar region have such a strong Asiatic flavour? Cladistics 2010, 26, 526–538. [Google Scholar] [CrossRef] [PubMed]
  61. Dittus, W.P.J. The biogeography and ecology of Sri Lankan mammals point to conservation priorities. Ceylon J. Sci. 2017, 46, 33–64. [Google Scholar] [CrossRef]
  62. Bossuyt, F.; Milinkovitch, M.C. Amphibians as indicators of early Tertiary “out of India” dispersal of vertebrates. Science 2001, 292, 93–95. [Google Scholar] [CrossRef] [Green Version]
  63. Bossuyt, F.; Meegaskumbura, M.; Beenaerts, N.; Gower, D.J.; Pethiyagoda, R.; Roelants, K.; Mannaert, A.; Wilkinson, M.; Bahir, M.M.; Manamendra-Arachchi, K.; et al. Local endemism within the western Ghats-Sri Lanka Biodiversity hotspot. Science 2004, 306, 479–481. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  64. Pinya, S.; Bover, P.; Jurado-Rivera, J.A.; Trenado, S.; Parpal, L.; Férriz, I.; Talavera, A.; Hinckley, A.; Pons, J.; López-Fuster, M.J. Recent island colonization by an introduced shrew in the western Mediterranean. Hystrix Ital. J. Mammal. 2018, 29, 232–235. [Google Scholar]
  65. Esselstyn, J.A.; Achmadi, A.S.; Handika, H.; Swanson, M.T.; Giarla, T.C.; Rowe, K.C. Fourteen new, endemic species of shrew (genus Crocidura) from Sulawesi reveal a spectacular island radiation. Bull. Am. Mus. Nat. Hist. 2021, 454, 1–108. [Google Scholar] [CrossRef]
  66. Molur, S.; Srinivasulu, C.; Srinivasulu, B.; Walker, S.; Nameer, P.O.; Ravikumar, L. Status of Non-volant Small Mammals: Conservation Assessment and Management Plan (CAMP) Workshop Report; Zoo Outreach Organizaton/CBSG South Asia: Coimbatore, India, 2005; p. 618. [Google Scholar]
  67. Molur, S.; Singh, M. Non-volant small mammals of the Western Ghats of Coorg District, southern India. J. Threat. Taxa 2009, 1, 589–608. [Google Scholar] [CrossRef] [Green Version]
  68. Molur, S.; Nameer, P.O.; de A. Goonatilake, W.I.L.D.P.T.S. Suncus montanus. The IUCN Red List of Threatened Species 2008: E.T21147A9251556. 2008. Available online: https://www.iucnredlist.org/species/21147/9251556 (accessed on 6 June 2023).
  69. Shanker, K. The role of competition and habitat in structuring small mammal communities in a tropical montane ecosystem in southern India. J. Zool., Lond. 2001, 253, 15–24. [Google Scholar] [CrossRef]
  70. Wijesinghe, M.R.; del Brooke, M. Impact of habitat disturbance on the distribution of endemic species of small mammals and birds in a tropical rain forest in Sri Lanka. J. Trop. Ecol. 2005, 21, 661–668. [Google Scholar] [CrossRef]
  71. CEPF. Ecosystem Profile: Western Ghats and Sri Lanka Biodiversity Hotspot—Western Ghats Region; Critical Ecosystem Partnership Fund: Arlington, TX, USA, 2007; 100p. [Google Scholar]
  72. Nicolas, V.; Jacquet, F.; Hutterer, R.; Konečný, A.; Kouassi, S.K.; Durnez, L.; Lalis, A.; Colyn, M.; Denys, C. Multilocus Phylogeny of the Crocidura Poensis Species Complex (Mammalia, Eulipotyphla): Influences of the Palaeoclimate on Its Diversification and Evolution. J. Biogeogr. 2019, 46, 871–883. [Google Scholar] [CrossRef] [Green Version]
  73. Demos, T.C.; Kerbis Peterhans, J.C.; Agwanda, B.; Hickerson, M.J. Uncovering cryptic diversity and refugial persistence among small mammal lineages across the Eastern Afromontane biodiversity hotspot. Mol. Phylogenetics Evol. 2014, 71, 41–54. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Map showing the distribution pattern of S. niger and S. montanus in India and Sri Lanka. Pink pin showing the collection locality and range extension of S. niger in the Western Ghats biodiversity hotspots in India.
Figure 1. Map showing the distribution pattern of S. niger and S. montanus in India and Sri Lanka. Pink pin showing the collection locality and range extension of S. niger in the Western Ghats biodiversity hotspots in India.
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Figure 2. (A) Dorsolateral and (B) dorsal view of adult S. niger (photos taken by the second author, M.K.). (C) Cranium and mandible of S. niger: (i) dorsal, (ii) ventral, (iii) lateral views of the cranium, and (iv) occlusal and (v) lateral views of the mandible. (Note: the first four unicuspid teeth of the upper jaw and incisor of the lower jaw, and the condylar process of the left side mandible were unintendedly damaged during skull extraction.)
Figure 2. (A) Dorsolateral and (B) dorsal view of adult S. niger (photos taken by the second author, M.K.). (C) Cranium and mandible of S. niger: (i) dorsal, (ii) ventral, (iii) lateral views of the cranium, and (iv) occlusal and (v) lateral views of the mandible. (Note: the first four unicuspid teeth of the upper jaw and incisor of the lower jaw, and the condylar process of the left side mandible were unintendedly damaged during skull extraction.)
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Figure 3. Dorsal and ventral views of Suncus murinus (A,B) and S. stoliczkanus (C,D) housed in the National Zoological Collections (Mammal and Osteology Section) of Zoological Survey of India, Kolkata.
Figure 3. Dorsal and ventral views of Suncus murinus (A,B) and S. stoliczkanus (C,D) housed in the National Zoological Collections (Mammal and Osteology Section) of Zoological Survey of India, Kolkata.
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Figure 4. (A) The Bayesian phylogeny based on (A) Cytb and (B) 16S rRNA genes clearly delineated S. niger from other congeners. The posterior probability supports are represented by values with each branch.
Figure 4. (A) The Bayesian phylogeny based on (A) Cytb and (B) 16S rRNA genes clearly delineated S. niger from other congeners. The posterior probability supports are represented by values with each branch.
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Figure 5. Map showing the colonization of Suncus species during late Miocene to the Holocene (above). The maximum likelihood topology with relative times showed the approximate divergence time of the Suncus species (below). The TimeTree was computed with the calibration constraint (marked by an asterisk) determined from the previous study [9].
Figure 5. Map showing the colonization of Suncus species during late Miocene to the Holocene (above). The maximum likelihood topology with relative times showed the approximate divergence time of the Suncus species (below). The TimeTree was computed with the calibration constraint (marked by an asterisk) determined from the previous study [9].
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Table 1. External morphology and craniodental measurements (in mm) of S. niger and other congeners distributed in India and Sri Lanka. The comparative measurements of closely related species were obtained from the ZSI, previous studies [8,22,34,35], and the GBIF database. Abbreviations for measures are shown in Materials and Methods. S. niger = Sn; S. montanus = Smo; S. murinus = Smu; S. etruscus = Se; S. fellowesgordoni = Sf; S. dayi = Sd; S. stoliczkanus = Ss; S. zeylanicus = Sz; n = number of specimens; measurements are minimum to maximum.
Table 1. External morphology and craniodental measurements (in mm) of S. niger and other congeners distributed in India and Sri Lanka. The comparative measurements of closely related species were obtained from the ZSI, previous studies [8,22,34,35], and the GBIF database. Abbreviations for measures are shown in Materials and Methods. S. niger = Sn; S. montanus = Smo; S. murinus = Smu; S. etruscus = Se; S. fellowesgordoni = Sf; S. dayi = Sd; S. stoliczkanus = Ss; S. zeylanicus = Sz; n = number of specimens; measurements are minimum to maximum.
MeasurementsSn
[This Study]
Sn
[34]
Smo
[8]
Smu
[8]
Smu
[ZSI]
Se
[22]
Sf
[22]
Sd
[35]
Ss
[35]
Ss
[ZSI]
Sz
(GBIF)
IndiaIndiaSri LankaSri LankaIndiaSri LankaSri LankaIndiaSri LankaIndiaSri Lanka
(n = 3)(n ≥ 1)(n = 18)(n = 8)(n = 5)(n = 3)(n = 5)(n = 7)(n = 11)(n = 4)(n = 2)
HBL80–11080–10587.3–121.5100–160107–12042.1–42.444.0–49.470–7868–8559–75108–114
TL45–63.5145–6556.1–75.572–8562–6927.4–31.133.5–38.083–8844–5537–5492–97
EH11.2–12.69-8–12.611.4–13.60.9–135.9–6.25.6–7.0--0.9–1010–13
HFL14–1814–1715.6–19.120.1–23.416–18.57.4–7.69.6–11.015.5–16.510.5–1511–1420
GL26.3–27.3-23.1–27.827–34.324–27.311.912.9–13.7--14.4–15.2-
BL22.9–24.2-20.5–25.324.3–31.721.2–25.611.0–11.111.7–12.3--13.5–14.2-
CL26–27.5-22.9–27.827–34.724.1–28.712.0–12.112.7–13.618.9–20.218.6–22.218.6–22.2-
MTR6.9–7.9-6.8–8.17.5–9.46.9–7.82.8–3.13.6–3.98.5–8.88.1–10.36.1–6.6-
PL11.6–12.2-10.2–12.511.8–15.510.8–12.53.8–4.54.8–5.4,--8.2–9.1-
LR9.5–10.1-8.4–10.310.2–12.49.8–11.93.8–4.04.2–4.7--6.7–6.5-
BB11.3–12.1-9.7–12.311.3–15.310.7–13.35.35.5–5.78.3–9.88.9–9.68.9–9.6-
PW6.9–7.4-6.4–7.78.2–9.58.1–8.93.0–3.13.3–3.95.6–6.05.2–6.95.2–6.9-
HB5.8–6.1-5.4–6.56.3–7.96.2–7.52.5–2.63.0–3.25.0–5.33.9–5.03.9–5.0-
ML13.6–14.7-13.2–15.314.7–19.113.7–15.26.0–6.36.9–7.3--10.5–11.2-
LDT7.0–8.0-7.0–8.48.1–9.87.8–8.33.0–3.23.8–3.9--6.1–6.7-
DD6.4–7.7-5.9–8.58–117.9–9.12.7–3.03.2–3.5--5.6–5.8-
Table 2. Inter-species and intra-species Kimura-2-parameter (K2P) genetic divergence of Sucus species based on mtCytb. The intra-species genetic distance of S. megalura and S. remyi is not calculated (n/c) due to single sequence.
Table 2. Inter-species and intra-species Kimura-2-parameter (K2P) genetic divergence of Sucus species based on mtCytb. The intra-species genetic distance of S. megalura and S. remyi is not calculated (n/c) due to single sequence.
SpeciesInter-SpeciesIntra-Species
S. niger 1.14
S. montanus8.66 1.65
S. murinus9.857.87 3.68
S. stoliczkanus8.499.509.67 0.24
S. malayanus15.7814.5915.3217.25 1.47
S. madagascariensis16.1716.4216.1418.087.31 0.97
S. etruscus16.3015.4816.5017.668.663.15 0.16
S. fellowesgordoni16.4518.1217.3418.279.8510.8312.24 0.32
S. dayi18.1919.2019.4217.5021.5218.0215.8622.30 0.73
S. varilla21.1821.2222.2322.6622.1520.1717.8820.0722.06 0.00
S. megalura21.8519.8319.6121.0727.0323.8823.1826.1919.2322.60 n/c
S. remyi24.6323.6624.5922.0321.7122.3319.6921.3722.1720.6925.72 n/c
S. hututsi26.2924.4025.4524.9322.8824.3624.4924.5621.5823.4421.8614.110.00
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MDPI and ACS Style

Kundu, S.; Kamalakannan, M.; Kim, A.R.; Hegde, V.D.; Banerjee, D.; Jung, W.-K.; Kim, Y.-M.; Kim, H.-W. Morphology and Mitochondrial Lineage Investigations Corroborate the Systematic Status and Pliocene Colonization of Suncus niger (Mammalia: Eulipotyphla) in the Western Ghats Biodiversity Hotspot of India. Genes 2023, 14, 1493. https://doi.org/10.3390/genes14071493

AMA Style

Kundu S, Kamalakannan M, Kim AR, Hegde VD, Banerjee D, Jung W-K, Kim Y-M, Kim H-W. Morphology and Mitochondrial Lineage Investigations Corroborate the Systematic Status and Pliocene Colonization of Suncus niger (Mammalia: Eulipotyphla) in the Western Ghats Biodiversity Hotspot of India. Genes. 2023; 14(7):1493. https://doi.org/10.3390/genes14071493

Chicago/Turabian Style

Kundu, Shantanu, Manokaran Kamalakannan, Ah Ran Kim, Vishwanath D. Hegde, Dhriti Banerjee, Won-Kyo Jung, Young-Mog Kim, and Hyun-Woo Kim. 2023. "Morphology and Mitochondrial Lineage Investigations Corroborate the Systematic Status and Pliocene Colonization of Suncus niger (Mammalia: Eulipotyphla) in the Western Ghats Biodiversity Hotspot of India" Genes 14, no. 7: 1493. https://doi.org/10.3390/genes14071493

APA Style

Kundu, S., Kamalakannan, M., Kim, A. R., Hegde, V. D., Banerjee, D., Jung, W. -K., Kim, Y. -M., & Kim, H. -W. (2023). Morphology and Mitochondrial Lineage Investigations Corroborate the Systematic Status and Pliocene Colonization of Suncus niger (Mammalia: Eulipotyphla) in the Western Ghats Biodiversity Hotspot of India. Genes, 14(7), 1493. https://doi.org/10.3390/genes14071493

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