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28 October 2022 Development of Genetic Markers for Sex and Individual Identification of the Japanese Giant Flying Squirrel (Petaurista leucogenys) by an Efficient Method Using High-Throughput DNA Sequencing
Aki Sugita, Mayumi Shigeta, Noriko Tamura, Hiroyuki Okazaki, Nobuyuki Kutsukake, Yohey Terai
Author Affiliations +
Abstract

DNA markers that detect differences in the number of microsatellite repeats can be highly effective for genotyping individuals that lack differences in external morphology. However, isolation of sequences with different microsatellite repeat numbers between individuals has been a time-consuming process in the development of DNA markers. Individual identification of Japanese giant flying squirrels (Petaurista leucogenys) has been challenging because this species is arboreal and nocturnal and exhibits little to no morphological variation between individuals. In this study, we developed DNA markers for sex and individual identification of this species by an efficient method using high-throughput DNA sequence data. Paired-end 5 Gb (2 × 250 bp) and 15 Gb (2 × 150 bp) genome sequences were determined from a female and a male Japanese giant flying squirrel, respectively. We searched SRY and XIST genes located on Y and X chromosomes, respectively, from high-throughput sequence data and designed primers to amplify these genes. Using these primer sets, we succeeded to identify the sex of individuals. In addition, we selected 12 loci containing microsatellites with different numbers of repeats between two individuals from the same data set, and designed primers to amplify these sequences. Twenty individuals from nine different locations were discriminated using these primer sets. Furthermore, both sex and microsatellite markers were amplified from DNA extracted non-invasively from single fecal pellet samples. Based on our results for flying squirrels, we expect our efficient method for developing non-invasive high-resolution individual- and sex-specific genotyping to be applicable to a diversity of mammalian species.

INTRODUCTION

Identification of individuals and sexes is essential to studies of behavior, ecology, and population structure of animals (Waits et al., 2001; Kusahara et al., 2006; Rutledge et al., 2009). Observational studies have identified individuals and sexes based on external characteristics, such as differences in fur pattern and body size (Berry and Shine, 1980; Miththapala et al., 1989; Badyaev, 2002; Higashide et al., 2012; Takada and Minami, 2021). However, there are many animal species that do not show such external characteristics. In such cases, artificial markers including collars, ear tags, hair staining, and removal of body parts have been used to identify individuals (Southern, 1948; Bradford, 1976; Koyama, 1988; Rémy et al., 2011; Larsen et al., 2014). However, collars and hair staining can only be used for a limited period because they degrade and sometimes are dropped by animals. Compared to these, DNA markers are an effective method for identifying individuals that lack differences of external characteristics among individuals (for example, wolf: Rutledge et al., 2009; brown bear: Barba et al., 2010; Sciuridae: Gorrell et al., 2012). DNA markers do not drop off, do not deteriorate, and can be used stably over a long period.

DNA marker analysis is possible with DNA extracted from feces, feathers, and hairs which can be collected non-invasively from animals (Rudnick et al., 2007; Brinkman and Hundertmark, 2009; Barba et al., 2010; Brinkman et al., 2011). DNA extracted from non-invasively sampled feces or other objects left by individuals allows researchers to collect information on animals without directly observing the individuals of interest (Beja-Pereira et al., 2009). This is particularly useful for studies of animals that are difficult to capture or observe. Therefore, the combination of non-invasive sampling and analysis with DNA markers is a powerful tool for the study of wild animal populations.

The Japanese giant flying squirrel (Petaurista leucogenys) is endemic to the Honshu, Shikoku, and Kyushu Islands of Japan. This species exhibits unique life history within the family of Sciuridae, such as arboreal (Ando and Imaizumi, 1982; Ando and Shiraishi, 1991; Stafford et al., 2003), nocturnal (Ando and Imaizumi, 1982; Baba et al., 1982; Funakoshi and Shiraishi, 1985), folivore ecology (Ando and Imaizumi, 1982; Baba et al., 1982; Funakoshi and Shiraishi, 1985; Sone et al., 1996; Kawamichi, 1997a; Shigeta et al., 2010), and gliding behavior (Ando and Shiraishi, 1991, 1993). Japanese giant flying squirrels are hard to observe continuously in their forest habitat because of their nocturnal and arboreal ecology. Individual Japanese giant flying squirrels are also hard to discriminate because they exhibit only small to no morphological differences between individuals and sexes. Individuals can only be identified when an individual has scars on the ears or distinctive coat colors on the tail (Kawamichi, 2015). The sex of adult animals can be determined by observing their reproductive organs during the breeding season (Kawamichi, 1997b). However, adults out of breeding condition and juveniles are difficult to identify sex using this method (Kawamichi, 1998). Because of these difficulties and the need for continuous observation and identification of individuals and sexes, studies of individual distribution, movement patterns, social structure, and population ecology of this species have been limited (Baba et al., 1982; Kawamichi, 2015). In recent years, forest fragmentation and an overall reduction of their available habitat have been reported (Okazaki, 1999; Aoki et al., 2006). For conservation planning and understanding of this species, further research using methods for individual discrimination and sex identification is required.

Feces of the Japanese giant flying squirrel are relatively easy to collect on the ground because Japanese giant flying squirrels excrete a large amount of pelleted feces under the canopies of large trees where they frequently stop during their gliding locomotion (Shigeta et al., 2010; Kawamichi, 2015). Accordingly, non-invasive DNA extraction and analysis using DNA markers is a suitable method to identify Japanese giant flying squirrels. However, no study has used Japanese giant flying squirrel DNA extracted from feces and markers for sex identification (Kusahara et al., 2006; Gorrell et al., 2012) or individual identification (Todd, 2000; Hale et al., 2001; Shibata et al., 2003; Gunn et al., 2005; Fike and Rhodes, 2009; Fike et al., 2013) that have been developed for placental mammals and species closely related to the Japanese giant flying squirrel.

DNA markers for individual identification detect differences in indels between individuals, mostly in the number of microsatellite repeats at multiple genomic loci. However, isolation of polymorphic sequences including microsatellites from genomic DNA has been a time-consuming process in the development of DNA markers. Even if a microsatellite-containing sequence is isolated, the number of repeats may be the same among individuals, making it impossible to discriminate among individuals. Although it is easy to isolate repeat sequences from assembled genomes in general, the genomes of species of interest are often unassembled. Many DNA markers are designed to amplify PCR products of around 100–300 bp (Sefc et al., 2003; Buchan et al., 2005; Broquet et al., 2007), and therefore long-assembled contigs are not always necessary to design primers. Recent studies have used high-throughput whole genome and cDNA sequencing to isolate targeted genomic regions including repeat sequences (Abdelkrim et al., 2009; Ariede et al., 2018; Fraga et al., 2020).

In most placentalia species, sex is determined by a combination of X and Y sex chromosomes. When the individual has a combination of XX, the sex is determined as female, and when the individual has XY, the sex is determined as male. The SRY and XIST genes are known to be located on the Y and X chromosomes, respectively (Gubbay et al., 1990; Sinclair et al., 1990; Borsani et al., 1991; Brockdorff et al., 1991; Herzing et al., 1997; Marahrens et al., 1998). Therefore, these genes can be used as DNA markers for sex identification (e.g., Dallas et al., 2000; Kusahara et al., 2006).

In this study, we developed DNA markers for sex and individual identification of the Japanese giant flying squirrel by an efficient method using high-throughput DNA sequence data. These DNA markers are expected to enable research that requires information for multiple individuals or continuous monitoring, such as distribution and dispersion, social structure, and population size estimation without the need to capture animals or observe them directly.

MATERIALS AND METHODS

Sample collection

We collected samples (tissues or feces) and extracted genomic DNA from 20 Japanese giant flying squirrels obtained from four breeding facilities and five field sites (Fig. 1). Tissue samples of four individuals were collected at Tama Forest Science Garden Hachioji and of one individual at Saitama children's Zoo Park (Fig. 1). Among them, three individuals collected at Tama Forest Science Garden were found dead at this site. The cause of death was presumed to be either predation or accidental collision. The entire specimens of two individuals and partial body (only skin) of one individual were stored at –80°C. Since one of these individuals was a partial body (K1), sex of this individual was not identifiable based on genital morphology. Sex of an adult male (K4) and an infant female (K3) were identified based on genital morphology. We note that the female sex of K3 should be interpreted with caution due to difficulty with morphological sex identification of infants. A fourth individual found at this location (K2) was also an infant and had fallen from a tree canopy but was kept alive. A tissue sample was obtained from this individual by swabbing the inside of its cheek with a cotton swab. The cotton swab was immediately soaked in Lysis buffer (0.1 M Tris-HCL, 0.1 M EDTA, 0.01 M NaCl, 0.5% SDS) and was stored at –30°C. Sex of this infant individual (K2) was not identifiable based on genital morphology. One female individual (S1) was collected at Saitama children's Zoo Park. A tissue sample was obtained from this individual by swabbing the inside of its cheek with a cotton swab.

Fig. 1.

Sample information. Samples were collected from four breeding facilities (1–4) and five field sites (5–9). Arabic numbers on the map correspond to the location numbers in the table.

fi_zs220045_001.jpg

Fecal samples of 16 individuals were collected from four breeding facilities and five field sites (Fig. 1). Fecal samples of five individuals (two males and three females) were collected from four breeding facilities (Chuo University Junior and Senior High School, Tama Zoological Park, Ueno Zoological Gardens, and Saitama Children's Zoo Park) (Fig. 1). All individuals were protected in a forest close to each facility when they were young. Fecal pellets defecated before night were collected from the floor of the breeding facility with disposable toothpicks or chop sticks. Samples were stored independently in 1.5 mL tubes with Lysis buffer (described above) and stored at –30°C. Because two individuals (one male and one female, T1 and T2 in Fig. 1) at Tama Zoological Park were kept in the same cage, it was unclear which feces belonged to which individual. Therefore, we identified defecating individuals by identifying the sex of the DNA samples extracted from each fecal pellet using sex identification markers. Feces collected from Tama Zoological Park were only used for testing of individual identification markers.

Fecal samples of 11 individuals were collected at five field sites (Tama Forest Science Garden, Mt. Takao, Mt. Tsukuba, Lake Tsukui Shiroyama Park and private forest site) from several different trees (Fig. 1). Each fecal sample was stored in separate 1.5 mL tubes containing Lysis buffer and stored at – 30°C. To separate unique individuals from unidentified individuals, we performed sex identification for all samples after development of sex identification markers. Then, we selected two fecal samples with different sex from each site and treated these selected samples as unique individuals. In addition, two to three feces collected from a sufficient distance (1.2 km) apart, which could be safely assumed to have been defecated by different individuals, were also treated as unique individuals. These feces collected from presumably separate individuals were only used for testing individual identification markers. The guidelines for experimental animal management of SOKENDAI were followed throughout the study. The Institutional Animal Care and Use Committee of SOKENDAI approved the animal protocols and procedures (permission #2017004ar and #2018005ar).

DNA extraction

From the stored body specimens, a piece of muscle tissue (∼5 mm square) was cut out with a scalpel and used for DNA extraction. Genomic DNA was extracted from tissue samples using a DNeasy Blood & Tissue Kit (QIAGEN, Hilden, Germany). Fecal DNA was extracted from a single fecal pellet sample using a Cica Geneus DNA Prep Kit for Stool (KANTO KAGAKU) following the manufacturer's instructions.

Development of DNA markers to identify individuals

The concentration of the genomic DNA extracted from tissue samples of the male (K4) and presumed female (K3) giant flying squirrels found at the Tama Forest Science Garden (Fig. 1) was measured using a Qubit Fluorometer 2.0 (Thermo Fisher Scientific). Sex of K3 was ambiguous because this individual was an infant. After development of a sex identification marker, this individual was confirmed to be female. The NEBNext Ultra II DNA Library Prep Kit for Illumina (New England Bio Labs, Ipswich, MA, USA) was used to construct libraries from genomic DNA. Paired-end (2 × 250 bp for a female [K3] and 2 × 150 bp for a male [K4]) sequencing was performed on the Illumina HiSeq X or Hiseq 2500 platform. In total, 5 Gb (2 × 250 bp) and 15 Gb (2 × 150 bp) sequences were determined from each individual. For sequences from a female (K3), the average length of DNA fragments was prepared to be less than 500 bp for Paired-end 2 × 250 bp sequences by Covaris M220 (Covaris. Inc., Woburn, MA, USA). When the paired-reads were overlapped, the two reads were merged as one sequence by the merge reads algorithm implemented in CLC Genomic Workbench 9.0 ( https://www.qiagenbioinformatics.com/). The merged sequences were used as a database for BLASTN searches (Altschul et al., 1990). We searched for the sequences containing trinucleotide repeats using nine types of trinucleotide repeat (AATn, AGCn, AGTn, ATCn, ATTn, CATn, GATn, TAAn, TATn) sequence motifs as query sequences (see  Supplementary Table S2 (zs220045_TableS2.xlsx)). The sequence reads from a male (K4) were mapped to merged sequences (K3) using CLC Genomic Workbench. Reads showing high similarity (> 90% in > 90% of read length) were mapped to merged sequences to avoid mapping the low similarity reads. When the number of repeats was different between merged sequences and the mapped reads, the sequence was selected as a candidate for development of a marker region. We selected 12 candidate sequences (accession numbers: LC726459–LC726470) and designed two pairs of primers on the flanking regions of the repeats in each candidate sequence. The sequences of primers are listed in  Supplementary Table S2 (zs220045_TableS2.xlsx).

Development of DNA markers to identify sex

SRY and XIST regions were searched from the sequences of the male (paired end 150 bp) and the female (paired end 250 bp) Japanese giant flying squirrels, using homologs of SRY (Gene ID 21674) and XIST (Gene ID 213742) from the house mouse (Mus musculus) as queries. To perform nested PCR, two sets of primers were designed on SRY and XIST sequences (accession numbers: LC726471, LC726472), respectively. The sequences of primers are listed in  Supplementary Table S1 (zs220045_TableS1.xlsx).

Test of DNA markers

Since the amounts of Japanese giant flying squirrel DNA extracted from fecal samples were expected to be low, we used nested PCR to obtain a sufficient amount of PCR products. Furthermore, for efficient amplification, nested PCR was performed independently for each locus. Nested PCR reactions were performed with final volume of 6 µl with concentration of KOD Fx Neo (TOYOBO, Osaka, Japan) (0.12 U), 1× KOD Fx Neo buffer, dNTPs (0.4 mM), and 0.2 µM forward and reverse primer, distilled water and template DNA to amplify SRY, XIST, and microsatellite regions. For template DNA, we used 1 µl of DNA (0.05∼376 ng) extracted from tissues or feces for the first round of nested PCR. For the second round of nested PCR, PCR products after the first round were diluted 100 times with water and 1 µl was used as a template. For the first and second round of nested PCR, different sets of primers were used (see  Supplementary Table S1 (zs220045_TableS1.xlsx) and  Supplementary Table S2 (zs220045_TableS2.xlsx): we used primers “F1” and “R1” for the first round of nested PCR and “F2” and “R2” for the second round of PCR. Primers without numbers (SRY_R and m6_R) were used for the first and the second rounds of PCR). The conditions of PCR were as follows: 94°C for 2 min of denaturation step, followed by 35 cycles of 98°C for 10 seconds of denaturation step, 58 – 62°C for 30 seconds of annealing step (listed in  Table S1 (zs220045_TableS1.xlsx) and  S2 (zs220045_TableS2.xlsx) for each locus), 68°C for 30 seconds of extension step, and final extension at 68°C for 1 minute. After the nested PCR, 3 µl of PCR product were electrophoresed on 2% agarose gels, with a size marker (φX174/HaeⅢ, Takara, Shiga, Japan). Samples were stained with DNA Fluorescent Staining Dye (SMOBIO, Hsinchu City, Taiwan).

Sex was identified by electrophoresis of PCR products. When both SRY and XIST regions were amplified, sex was assigned as male. When only XIST region was amplified, sex was assigned as female. To verify the sex identification, amplification of XIST and SRY regions was performed two or more times.

For microsatellite regions, we performed an additional round of PCR using second round primers tagged with a fluorescent label. The labeled PCR products were purified, and the fragment length was analyzed using a 3500 Genetic Analyzer and the Gene Mapper software 6 (Applied Biosystems). For efficiency, when we analyzed the fragment length, one to four PCR products with different color labels or different length ranges were mixed. To verify the results of amplification, PCR for each microsatellite region was performed two to seven times. We only genotyped the sample if a clear peak was observed two or more times by fragment analysis (Taberlet et al., 1996; Sefc et al., 2003). When peak observation was less than two times, the sample-specific locus was treated as failed amplification. Also, when we observed more than two peaks at a locus, the sample-specific locus was treated as a failed allele. We therefore excluded loci with either failed amplifications or failed alleles from the data analyses. Contamination was checked by negative controls for all PCR reactions.

Data analysis

To measure the discrimination efficiency of each individual identification marker, P(ID) and P(ID)sib values were calculated. P(ID) is the probability that two individuals chosen from a random mating population have the same alleles and P(ID)sib is the probability that two siblings chosen from a random mating population have the same alleles.

eq_zs220045_001.gif

pi and pj are ith and jth allele frequencies. i is not equal to j. (Paetkau and Strobeck, 1994)

eq_zs220045_002.gif

Cumulative P(ID) and total P(ID)sib were calculated by multiplying P(ID) or P(ID)sib values from the lowest P(ID) or P(ID)sib loci to obtain the discrimination efficiency when multiple markers were analyzed. Deviation from Hardy–Weinberg equilibrium was tested for each locus using the software Genepop (ver 4.7.5.) (Raymond and Rousset, 1995).

Availability of data

The nucleotide sequences were deposited in the DDBJ Sequenced Read Archive under accession numbers DRX346687 and DRX346688.

RESULTS

Development of sex identification markers

We isolated the sequences of the SRY and XIST genes and designed two sets of primers based on the sequences of these genes. We used these primers as sex identification markers. To assess the sex identification markers, we used each of two individuals of males and females of the Japanese giant flying squirrel (G1, U1, S1, K4: Fig. 1). DNAs extracted from two samples each of tissue and feces were used to amplify XIST and SRY regions. We predicted that the XIST region on the X chromosome is amplified from both males and females, whereas the SRY region on the Y chromosome is amplified from only males. Indeed, the XIST region (258 bp) was amplified from both males and females, while the SRY region (103 bp) was amplified only from males (Fig. 2). Therefore, sex of Japanese giant flying squirrel individuals could be identified using DNA markers on the X and Y chromosomes. Furthermore, both regions were amplified from DNA extracted from even a single fecal pellet, suggesting that DNA extracted from a fecal sample is sufficient to non-invasively identify sex.

Fig. 2.

Amplification of XIST and SRY genes from males and females of Japanese giant flying squirrels. Arrows indicate the expected length of XIST (258 bp) and SRY (103 bp) genes. Amplification from DNA extracted from tissue and feces are shown as (tissue) and (feces), respectively.

fi_zs220045_002.jpg

Individual identification markers

We isolated 12 sequences containing microsatellites with different numbers of repeats between two individuals, male (K4) and female (K3), and designed primers to amplify these sequences. To assess the efficiency of individual identification, DNA fragments were amplified from each of 12 microsatellite loci (see  Supplementary Table S2 (zs220045_TableS2.xlsx)) using DNA from 20 individuals (Fig. 1). Two to 10 DNA fragments with different lengths were amplified from each of 12 loci (Table 1). The frequencies of the DNA fragments with different lengths did not deviate from Hardy-Weinberg equilibrium (P > 0.05) for all loci, indicating that the DNA fragments were the alleles of each locus. Values of P(ID) and P(ID)sib were lowest on the 12th microsatellite locus (0.05 and 0.34) and highest on the 6th microsatellite locus (0.46 and 0.68) (Table 1). Cumulative P(ID) and Cumulative P(ID)sib values were calculated to obtain the probability of individual discrimination when multiple markers were used (Schwartz and Monfort, 2008). When three or more microsatellite markers were selected from the loci with lowest P(ID) values, Cumulative P(ID) became lower than 0.001 (Waits et al., 2001). Similarly, when four or more microsatellite markers selected from the loci with lowest P(ID) value, Cumulative P(ID)sib became lower than 0.05 (Woods et al., 1999). As shown in Table 2, PCR results showed that six individuals at seven loci were unreliable due to low amplification rate (labeled “-”) and eight individuals at eight loci were unreliable due to genotyping errors (labeled “FA”). We excluded these unreliable PCR results from our analysis.

Table 1.

Alleles, P(ID) and P(IS)sib values of 12 microsatellite loci.

ta_zs220045_001.gif

Table 2.

Amplification patterns of 12 microsatellite loci for each sample.

ta_zs220045_002.gif

Even after excluding the unreliable PCR results, none of the PCR products amplified from the 12 microsatellite loci of the 20 individuals showed the same amplification pattern as the others. Thus, all 20 individuals from five different field sites and four breeding facilities (Fig. 1) were discriminated by newly developed microsatellite markers (Table 2). These identifications were successfully analyzed from DNA extracted from a single fecal pellet.

DISCUSSION

The Japanese giant flying squirrel exhibits a unique life history within the family Sciuridae, such as arboreal and folivore ecology, and gliding behavior (Ando and Imaizumi, 1982; Baba et al., 1982; Funakoshi and Shiraishi, 1985; Ando and Shiraishi, 1991, 1993; Sone et al., 1996; Kawamichi, 1997a; Stafford et al., 2003; Shigeta et al., 2010). However, it is still not well understood how Japanese giant flying squirrels behave and adapt to the forest environment due to the difficulty of continuously observing individuals. In addition, the Japanese giant flying squirrel is a solitary animal (Kawamichi, 2015), and relationships and sociality between individuals, such as male-female, parent-offspring, and mating relationships, have not been well studied. If the information on individual distribution, use of nests and foraging sites, and patterns of individual distribution during breeding and non-breeding seasons is collected using DNA markers, it can reveal the social relationships and ecological factors related to survival and reproduction of the Japanese giant flying squirrel. DNA markers for sex identification and individual identification would help to study this species, but these markers have not been reported until now. In addition, no high-throughput DNA sequences of Japanese giant flying squirrels that could be used to isolate microsatellite sequences for novel marker development were available in the database. In this study, we used high-throughput DNA sequencing to determine the genome sequence of Japanese giant flying squirrels and developed DNA markers for sex and individual identification.

Ideally, primer sets designed in conserved regions on the X and Y chromosomes should be used to isolate orthologs of these genes by PCR. However, due to the low conservation of sex chromosome sequences in squirrels (Peakall et al., 2006; Gorrell et al., 2012), it was expected to be difficult to design primers in the conserved regions of these genes. Therefore, we searched for the sequences of SRY and XIST genes from the genome sequences of both female and male Japanese giant flying squirrels and designed the primers based on these sequences. Indeed, these markers successfully identified the sexes. According to these results, the method of isolating SRY and XIST genes from the high-throughput sequences of one male and one female is expected to be applicable to other mammalian species.

To identify individuals using microsatellite markers, the number of repeats must be different between individuals (Abdelkrim et al., 2009; Ariede et al., 2018; Fraga et al., 2020). Therefore, we expected that markers for individual identification would be efficiently developed by screening for microsatellite regions with different numbers of repeats between individuals. Thus, loci with different numbers of microsatellite repeats were selected by mapping sequences from a male to sequences containing repeats from a female. Indeed, all 12 microsatellite markers showed individual differences in the number of repeats. This method allowed us to avoid microsatellites with the same number of repeats between individuals, indicating efficient development of individual identification markers. Since microsatellite sequences are present in many organisms, not only in animals, it is also expected that this method will be applicable to a broad range of diverse species. In this study, we used (AGCn, AGTn, ATTn, CATn, TATn, TAAn, TGAn) as the query repeat sequences. Many more novel markers could be developed by using other tandem repeat motifs (e.g., GTCTn) for the query sequence.

We applied the DNA markers to 20 samples that were from different locations and thought to be from different local populations and successfully discriminated between the individuals. Since the newly developed DNA markers were applicable to individuals from different local populations, the individual identification markers are likely to be applicable not only to Japanese giant flying squirrel individuals in a particular area, but also to individuals from other local populations.

Individuals and sex were able to be identified from DNA extracted from a single fecal pellet, indicating that noninvasive sampling is effective for this species. In the case of non-invasive sampling from feces, the amount of DNA of the target species in the extracted DNA was estimated to be low because of the high content of DNA from bacteria and food remains in the feces and the degradation of target DNA over time due to exposure in the external environment (Murphy et al., 2003; Broquet et al., 2007; Santini et al., 2007; Brinkman et al., 2010; Woodruff et al., 2015). Indeed, nested PCR was necessary for sex identification and individual identification using DNA extracted from feces. Despite the nested PCR, PCR using DNA extracted from feces sometimes yielded unreliable data. This was presumably due to the low amount of target DNA which was caused by the low amount of fiber contained in foods consumed under captivity, degradation of target DNA, and contamination by DNA of other Japanese giant flying squirrels and other organisms in the feces. Therefore, collecting fresh and less-degraded feces for study should lead to a higher PCR success rate.

The method used in this study is suitable for the study of organisms that are difficult to observe but whose feces are easily sampled. Non-invasive collection of Japanese giant flying squirrel feces and the use of the markers developed in this study will lead to further research on the ecology and the social and population structure of Japanese giant flying squirrels.

ACKNOWLEDGMENTS

We thank Tama Zoological Park, Ueno Zoological Gardens, and Saitama children's Zoo Park for providing tissue and fecal samples.

COMPETING INTERESTS

The authors declare that they have no competing interests.

AUTHOR CONTRIBUTIONS

DNA extraction and PCR: AS. Data analysis: AS. Conceptualization: AS, NK, YT. Next-generation sequencing: AS, YT. Sampling: AS, MS, NT, HO. Writing (original draft): AS, YT. Editing manuscript: NK, YT, MS, NT.

SUPPLEMENTARY MATERIALS

Supplementary materials for this article are available online. (URL:  https://doi.org/10.2108/zs220045)

 Supplementary Table S1 (zs220045_TableS1.xlsx). Primer sequences of sex identification markers.

 Supplementary Table S2 (zs220045_TableS2.xlsx). Primer sequences of individual identification markers.

REFERENCES

1.

Abdelkrim J, Robertson BC, Stanton JAL, Gemmell NJ (2009) Fast, cost-effective development of species-specific microsatellite markers by genomic sequencing. Bio Tech 46: 185–192 Google Scholar

2.

Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ (1990) Basic local alignment search tool. J Mol Biol 215: 403–410 Google Scholar

3.

Ando M, Imaizumi Y (1982) Habitat utilization of the white-cheeked giant flying squirrel Petaurista leucogenys in a small shrine grove. J Mammal Soc Jpn 9: 70–81 (in Japanese with English abstract) Google Scholar

4.

Ando M, Shiraishi S (1991) Arboreal quadrupedalism and gliding adaptations in the Japanese giant flying squirrel, Petaurista leucogenys. Mammal Sci 30: 167–181 (in Japanese) Google Scholar

5.

Ando M, Shiraishi S (1993) Gliding flight in the Japanese giant flying squirrel Petaurista leucogenys. J Mammal Soc Jpn 18: 19–32 Google Scholar

6.

Aoki Y, Kasahi T, Shigeta M, Yanagawa M, Hasuda H, Yamaguchi N, et al. (2006) Distribution of the Japanese giant flying squirrel in Kanagawa prefecture, Japan. Nat His Rep Kanagawa 27: 27–40 (in Japanese) Google Scholar

7.

Ariede RB, Freitas MV, Hata ME, Matrochirico-Filho VA, Utsunomia R, Mendonça FF, et al. (2018) Development of microsatellite markers using next-generation sequencing for the fish Colossoma macropomum. Mol Biol Rep 45: 9–18 Google Scholar

8.

Baba M, Doi T, Ono Y (1982) Home range utilization and nocturnal activity of the giant flying squirrel, Petaurista leucogenys. Jpn J Ecol 32: 189–198 Google Scholar

9.

Badyaev AV (2002) Growing apart: an ontogenetic perspective on the evolution of sexual size dimorphism. Trends Ecol Evol 17: 369–378 Google Scholar

10.

Barba MD, Waits LP, Garton EO, Genovesi P, Randi E, Mustoni A, et al. (2010) The power of genetic monitoring for studying demography, ecology and genetics of a reintroduced brown bear population. Mol Ecol 19: 3938–3951 Google Scholar

11.

Beja-Pereira A, Oliveira R, Alves PC, Schwartz MK, Luikart G (2009) Advancing ecological understandings through technological transformations in noninvasive genetics. Mol Ecol Resour 9: 1279–1301 Google Scholar

12.

Berry JF, Shine R (1980) Sexual size dimorphism and sexual selection in turtles (Order Testudines). Oecologia 44: 185–191 Google Scholar

13.

Borsani G, Tonlorenzi R, Simmler MC, Dandolo L, Arnaud D, Capra V, et al. (1991) Characterization of a murine gene expressed from the inactive X chromosome. Nature 351: 325–329 Google Scholar

14.

Bradford DF (1976) Space utilization by rodents in Adenostoma chaparral. J Mammal 57: 576–579 Google Scholar

15.

Brinkman TJ, Hundertmark KJ (2009) Sex identification of northern ungulates using low quality and quantity DNA. Conserv Genet 10: 1189–1193 Google Scholar

16.

Brinkman TJ, Person DK, Schwartz MK, Pilgrim KL, Colson KE, Hundertmark KJ (2010) Individual identification of sitka black-tailed deer (Odocoileus hemionus sitkensis) using DNA from fecal pellets. Conserv Genet Resour 2: 115–118 Google Scholar

17.

Brinkman TJ, Person DK, Chapin III FS, Smith W, Hundertmark KJ (2011) Estimating abundance of Sitka black-tailed deer using DNA from fecal pellets. J Wildl Manage 75: 232–242 Google Scholar

18.

Brockdorff N, Ashworth A, Kay GF, Cooper P, Smith S, McCabe VM, et al. (1991) Conservation of position and exclusive expression of mouse Xist from the inactive X chromosome. Nature 351: 329–331 Google Scholar

19.

Broquet T, Ménard N, Petit E (2007) Noninvasive population genetics: a review of sample source, diet, fragment length and microsatellite motif effects on amplification success and genotyping error rates. Conserv Genet 8: 249–260 Google Scholar

20.

Buchan JC, Archie EA, van Horn RC, Moss CJ, Alberts SC (2005) Locus effects and sources of error in noninvasive genotyping. Mol Ecol Notes 5: 680–683 Google Scholar

21.

Dallas JF, Carss DN, Marshall F, Koepfli KP, Kruuk H, Piertney SB, et al. (2000) Sex identification of the Eurasian otter Lutra lutra by PCR typing of spraints. Conserv Genet 1: 181–183 Google Scholar

22.

Fike JA, Rhodes OE (2009) Characterization of twenty-six polymorphic microsatellite markers for the fox squirrel (Sciurus niger) and their utility in gray squirrels (Sciurus carolinensis) and red squirrels (Tamiasciurus hudsonicus). Conserv Genet 10: 1545–1548 Google Scholar

23.

Fike JA, Hennessy CA, Kennedy ML, Rhodes OE (2013) Eleven microsatellite markers for the eastern gray squirrel (Sciurus carolinensis) and their utility in eastern fox squirrels (Sciurus niger) and red squirrels (Tamiasciurus hudsonicus). Conserv Genet Resour 5: 679–681 Google Scholar

24.

Fraga DA, de Carvalho AF, Santana RS, Machado MC, Lacorte GA (2020) Development of microsatellite markers for the threatened species Coleocephalocereus purpureus (Cactaceae) using next-generation sequencing. Mol Biol Rep 47: 1485–1489 Google Scholar

25.

Funakoshi K, Shiraishi S (1985) Feeding activities in the Japanese giant flying squirrel, Petaurista leucogenys. Mamm Sci 10: 149–158 Google Scholar

26.

Gorrell JC, Boutin S, Raveh S, Neuhaus P, Côté SD, Coltman DW (2012) Sexing the Sciuridae: A simple and accurate set of molecular methods to determine sex in tree squirrels, ground squirrels and marmots. Mol Ecol Resour 12: 806–809 Google Scholar

27.

Graves JAM (2002) The rise and fall of SRY. Trends Genet 18: 259–264 Google Scholar

28.

Griffiths R, Tiwari B (1993) Primers for the differential amplification of the sex-determining region Y gene in a range of mammal species. Mol Ecol 2: 405–406 Google Scholar

29.

Gubbay J, Collignon J, Koopman P, Capel B, Economou A, Münsterberg A, et al. (1990) A gene mapping to the sex-determining region of the mouse Y chromosome is a member of a novel family of embryonically expressed genes. Nature 346: 245–250 Google Scholar

30.

Gunn MR, Dawson DA, Leviston A, Hartnup K, Davis CS, Strobeck C, et al. (2005) Isolation of 18 polymorphic microsatellite loci from the North American red squirrel, Tamiasciurus hudsonicus (Sciuridae, Rodentia), and their cross-utility in other species. Mol Ecol Notes 5: 650–653 Google Scholar

31.

Hale ML, Bevan R, Wolff K (2001) New polymorphic microsatellite markers for the red squirrel (Sciurus vulgaris) and their applicability to the grey squirrel (S. carolinensis). Mol Ecol Notes 1: 47–49 Google Scholar

32.

Herzing BKL, Roomer TJ, Horn MJ, Ashworth A (1997) Xist has properties of the X-chromosome inactivation centre. Nature 386: 272–275 Google Scholar

33.

Higashide D, Miura S, Miguchi H (2012) Are chest marks unique to Asiatic black bear individuals? J Zool 288: 199–206 Google Scholar

34.

Just W, Rau W, Vogel W, Akhverdian M, Fredga K, Marshall Graves AJ, et al. (1995) Absence of Sry in species of the vole Ellobius. Nat Genet 11: 117–118 Google Scholar

35.

Kawamichi T (1997a) Seasonal changes in the diet of Japanese giant flying squirrels in relation to reproduction. J Mammal 78: 204–212 Google Scholar

36.

Kawamichi T (1997b) The age of sexual maturity in Japanese giant flying squirrels, Petaurista leucogenys. Mammal Study 22: 81–87 Google Scholar

37.

Kawamichi T (1998) Seasonal change in the testis size of the Japanese giant flying squirrel, Petaurista leucogenys. Mammal Study 23: 79–82 Google Scholar

38.

Kawamichi T (2015) Musasabi. 1st ed, Tsukiji-Shokan Press, Tokyo (in Japanese) Google Scholar

39.

Koyama N (1988) Mating behavior of ring-tailed lemurs (Lemur catta) at Berenty, Madagascar. Primates 29: 163–175 Google Scholar

40.

Kusahara M, Kamimura Y, Tamura N, Hayashi F (2006) A new pair of primers for molecular sexing of the Pallas squirrel, Callosciurus erythraeus, and variation in fetal sex ratio. Mammal Study 31: 87–92 Google Scholar

41.

Larsen MJ, Sherwen SL, Rault JL (2014) Number of nearby visitors and noise level affect vigilance in captive koalas. Appl Anim Behav Sci 154: 76–82 Google Scholar

42.

Marahrens Y, Loring J, Jaenisch R (1998) Role of the Xist gene in X chromosome choosing. Cell 92: 657–664 Google Scholar

43.

Miththapala S, Seidensticker J, Phillip LG, Fernando SBU, Smallwood JA (1989) Identification of individual leopards (Panthera pardus kotiya) using spot pattern variation. J Zool 218: 527–536 Google Scholar

44.

Murphy MA, Waits LP, Kendall KC (2003) The influence of diet on faecal DNA amplification and sex identification in brown bears (Ursus arctos). Mol Ecol 12: 2261–2265 Google Scholar

45.

Nagamine CM, Morohashi K, Carlisle C, Chang DK (1999) Sex reversal caused by Mus musculus domesticus Y chromosomes linked to variant expression of the testis-determining gene Sry. Dev Biol 216: 182–194 Google Scholar

46.

Okazaki H (1999) Distribution and habitat fragmentation of Japanese giant flying squirrel (Petaurista leucogenys) in Tokyo. Mammal Sci 39: 169–173 (in Japanese) Google Scholar

47.

Paetkau D, Strobeck C (1994) Microsatellite analysis of genetic variation in black bear populations. Mol Ecol 3: 489–495 Google Scholar

48.

Peakall R, Ebert D, Cunningham R, Lindenmayer D (2006) Mark-recapture by genetic tagging reveals restricted movements by bush rats (Rattus fuscipes) in a fragmented landscape. J Zool 268: 207–216 Google Scholar

49.

Philip JM (1980) Sexual dimorphism in the body size of mustelids (Carnivora): the roles of food habits and breeding systems. Oikos 34: 147–158 Google Scholar

50.

Raymond M, Rousset F (1995) GENEPOP (version 1.2): population genetics software for exact tests and ecumenicism. J Hered 86: 248–249 Google Scholar

51.

Rémy A, le Galliard JF, Gundersen G, Steen H, Andreassen HP (2011) Effects of individual condition and habitat quality on natal dispersal behaviour in a small rodent. J Anim Ecol 80: 929–937 Google Scholar

52.

Rudnick JA, Katzner TE, Bragin EA, DeWoody JA (2007) Species identification of birds through genetic analysis of naturally shed feathers. Mol Ecol Notes 7: 757–762 Google Scholar

53.

Rutledge LY, Holloway JJ, Patterson BR, White BN (2009) An improved field method to obtain DNA for individual identification from wolf scat. J Wildl Manage 73: 1430–1435 Google Scholar

54.

Santini A, Lucchini V, Fabbri E, Randi E (2007) Ageing and environmental factors affect PCR success in wolf (Canis lupus) excremental DNA samples. Mol Ecol Notes 7: 955–961 Google Scholar

55.

Sefc KM, Payne RB, Sorenson MD (2003) Microsatellite amplification from museum feather samples: effects of fragment size and template concentration on genotyping errors. Auk 120: 982–989 Google Scholar

56.

Shibata K, Bandoh K, Yaekashiwa N, Matsuzaka T, Tamate HB (2003) A simple method for isolation of microsatellites from the Japanese squirrel, Sciurus lis, without constructing a genomic library. Mol Ecol Notes 3: 657–658 Google Scholar

57.

Shigeta M, Shigeta Y, Tamura N (2010) Habitat use of giant flying squirrels, Petaurista leucogenys, by collecting their field tracks. J Jpn Wildl Res Soc 35: 13–21 Google Scholar

58.

Sinclair AH, Berta P, Palmer MS, Hawkins JR, Griffiths BL, Smith MJ, et al. (1990) A gene from the human sex-determining region encodes a protein with homology to a conserved DNA-binding motif. Nature 346: 240–244 Google Scholar

59.

Sone K, Takano H, Tamura N (1996) Seasonal patterns of the feeding items of the giant flying squirrel, Petaurista leucogenys, and changes in its feeding sites due to the introduction of street lightings in Tama Forest Science Garden. J Jpn For Soc 78: 369–375 Google Scholar

60.

Southern HN (1948) Sexual and aggressive behaviour in the wild rabbit. Behaviour 1: 173–194 Google Scholar

61.

Stafford BJ, Thorington RW, Kawamichi T (2003) Positional behavior of Japanese giant flying squirrels (Petaurista leucogenys). J Mammal 84: 263–271 Google Scholar

62.

Taberlet P, Griffin S, Goossens B, Questiau S, Manceau V, Escaravage N, et al. (1996) Reliable genotyping of samples with very low DNA quantities using PCR. Nucleic Acids Res 24: 3189–3194 Google Scholar

63.

Takada H, Minami M (2021) Open habitats promote female group formation in a solitary ungulate: the Japanese serow. Behav Ecol Sociobiol: 75–60 Google Scholar

64.

Thorington RW, Koporowski JL, Steel MA, Whatton JF (2012) Squirrels of the World. The Johns Hopkins University Press, Baltimore, Maryland Google Scholar

65.

Todd R (2000) Microsatellite loci in the Eurasian red squirrel, Sciurus vulgaris L. Mol Ecol 9: 2165–2166 Google Scholar

66.

Waits LP, Luikart L, Taberlet P (2001) Estimating the probability of identity among genotypes in natural populations: cautions and guidelines. Mol Ecol 10: 249–256 Google Scholar

67.

Woodruff SP, Johnson TR, Waits LP (2015) Evaluating the interaction of faecal pellet deposition rates and DNA degradation rates to optimize sampling design for DNA-based mark-recapture analysis of Sonoran pronghorn. Mol Ecol Notes 15: 843–854 Google Scholar

68.

Woods JG, Paetkau D, Lewis D, Mclellan BN, Proctor M, Strobeck C (1999) Genetic tagging of free-ranging black and brown bears. Wildl Soc Bull 27: 616–627 Google Scholar
© 2022 Zoological Society of Japan
Aki Sugita, Mayumi Shigeta, Noriko Tamura, Hiroyuki Okazaki, Nobuyuki Kutsukake, and Yohey Terai "Development of Genetic Markers for Sex and Individual Identification of the Japanese Giant Flying Squirrel (Petaurista leucogenys) by an Efficient Method Using High-Throughput DNA Sequencing," Zoological Science 40(1), 24-31, (28 October 2022). https://doi.org/10.2108/zs220045
Received: 5 May 2022; Accepted: 12 September 2022; Published: 28 October 2022
KEYWORDS
fecal DNA
individual identification
Japanese giant flying squirrel
microsatellite marker
non-invasive sampling
sex identification
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