Abstract
Polymorphism of nine microsatellite loci in the Sikhote-Alin tiger population was analyzed in the modern and recent historical periods, using blood, excrement, and museum bone samples. Tests for excess heterozygosity to determine whether the population went through a period of low abundance and a low value of the Garza–Williamson coefficient indicated that such events were highly probable to occur in both recent and earlier history. The mean effective population size Ne of a current sample was 34.4 (95% confidence interval 17–106.8). This fact is of great interest in the contest of conservation and restoration of endangered large cat species.
Keywords: Sikhote-Alin population, historical and modern samples, bottleneck
INTRODUCTION
Substantial changed occurred in the Amur tiger (Panthera tigris altaica) Temminck, 1844)) population and its range in the 20th century. Data on Amur tiger recordings from various sources have been summarized to map the range of the subspecies and to analyze its dynamics over a 100-year period [1]. Historically, the tiger species range was rather broad (Fig. 1) and included Northeastern China, Primorsky krai, southern Khabarovsk krai, Jewish Autonomous Region, and Amurskaya Region; single tigers reached Transbaikalia. The range has been greatly reduced and become discontinuous by now.
Dramatic changes in Amur tiger population size accompanied the changes in the tiger range. There is established opinion that the tiger population size reached its minimum (30–40 tigers) as a result of killing in the 1940s [2] and then substantially increased over a short period of time to 500 tigers by 1990 [3] and 523–540 tigers by 2015 [4].
To what extent did the past events affect the genetic variation in Amur tiger? To answer the question, we compared the genetic variation of Amur tiger in historical retrospective, between the 20th and early 21st centuries.
MATERIALS AND METHODS
To perform molecular genetic analyses, DNA was isolated from Amur tiger sculls stored in the collections of the Zoological Museum (Moscow State University) and Zoological Institute (Russian Academy of Sciences) and fecal, hair, and blood samples, which we collected as part of the “Program of Amur Tiger Research in the Russian Far East,” within the framework of a permanent expedition of the Russian Academy of Sciences to investigate the animals included in the Red Book of the Russian Federation and other especially important animals of Russian fauna.
A historical sample included 61 specimens from Amur tiger sculls collected in Primorsky and Khabarovsk krais from 1938 to 1994 (Table 1). Molecular genetic data obtained with museum specimens of only 22 Amur tigers that had more comprehensive genetic profiles were used in further comparisons with the data that have been obtained for 44 tigers of a modern sample (from 2009 to 2013) and published previously [5]. Genetic variation of the subspecies in the period from 1938 to 1994 is reflected in the results of molecular genetic analyses of the historical specimens.
Table 1.
Specimen | Killing date | Killing and storage site |
---|---|---|
36 332 | Dec. 19, 1981 | Primorsky krai, Spassk raion, village Novovladimirovka |
36 333 | 1978 | Primorsky krai, Ternei raion |
36 335 | February 1980 | Primorsky krai, Olga raion |
36 336 | Jan. 14, 1987 | Primorsky krai, Khasanskii raion |
36 342 | Oct. 12, 1981 | Primorsky krai, Shkotovo raion |
36 345 | Nov. 27, 1991 | Primorsky krai, Partizansk raion, village Novoe |
36 347 | 1993–1994 | Primorsky krai, Lesozavodsk raion |
36 351 | February 1984 | Primorsky krai, Pozharskii raion, village Krasnyi Yar |
36 353 | Nov. 10, 1981 | Primorsky krai, Olga raion |
36 354 | 1983–1984 | Primorsky krai, Chuguevka raion |
36 358 | 1965 | Primorsky krai, Imanskii raion |
36 361 | Jan. 12, 1987 | Primorsky krai, Shkotovo raion, village Smolyaninovo |
36 367 | Nov. 17, 1982 | Primorsky krai, Chernigovka raion, village Gornyi Khutor |
36 371 | Jun. 21, 1986 | Primorsky krai, Ussuriisk Nature Reserve |
36 375 | April 1984 | Primorsky krai, Anuchino raion |
36 376 | January 1988 | Primorsky krai, Chuguevka raion |
36 379 | Apr. 7, 1984 | Primorsky krai, Partizansk raion |
36 380 | Dec. 28, 1986 | Primorsky krai, near Vladivostok |
s34 855 | 1938 |
Primorsky krai, Krasnoarmeisk raion, village Novopokrovka, collection of Zoological Museum |
s91 581 | 1966 | Primorsky krai, Nakhodka, collection of Zoological Museum |
s96 811 | 1972 | Primorsky krai, Lazo raion, collection of Zoological Museum |
s100 000 | February 1974 | Primorsky krai, Dal’nerechensk raion, collection of Zoological Museum |
Specimens 36332–36380 from the collection of the Zoological Institute were collected by V.G. Yudin.
The same microsatellite loci were examined in the historical and modern samples; sample localities were restricted to the region of the Sikhote-Alin subpopulation (Fig. 2).
Bone tissue samples were taken from the mandible with a Proxxon instrument (Germany) and a metal drill of 1–1.2 mm in diameter. Ground bone tissue samples were stored at –20°C. DNA was isolated using a QIAamp DNA investigator kit (Qiagen, Germany) according to a bone DNA isolation protocol.
Nuclear DNA was tested as described previously [5]. PCR with all primers was performed in four replicas. A generalized genotype was established when a heterozygous allele was repeated two times and a homozygous allele, three times. Changes in allele frequencies were evaluated using Fisher’s test and considered significant at p < 0.05. To find out if a bottleneck occurred in the population, tests for excess heterozygosity were carried out using Bottleneck, v. 1.2.0.2 and the IAM, TPM, and SMM mutation models [6]. The expected heterozygosity He, observed heterozygosity Ho, and M-statistic [7] were calculated using Arlequin v. 3.5.1.2 [8]. The effective population size Ne was calculated by the linkage disequilibrium (LD) method, using NeEstimator v. 2 [9]. The allelic richness was calculated using Fstat 294 [10].
RESULTS AND DISCUSSION
In total, genetic profiles were obtained for 22 museum and 44 modern specimens of Amur tigers.
The Amur tiger population was characterized with respect to allele frequencies of nine microsatellite loci (Table 2), effective number of alleles Ar, expected heterozygosity He, observed heterozygosity Ho, and Garza–Williamson coefficient M (Table 3).
Table 2.
Locus | Allele | Modern sample | Historical sample |
---|---|---|---|
e7 | 150 | 6.10 | 6.82 |
152 | 90.24 | 90.91 | |
156 | 3.66 | 2.27 | |
fca304 | 128 | 33.33 | 20.45 |
134 | 34.52 | 45.45 | |
136 | 32.14 | 34.09 | |
fca43 | 117 | 0 | 4.55 |
119 | 11.36 | 18.18 | |
123* | 59.09 | 38.64 | |
127 | 29.55 | 38.64 | |
e21b | 160 | 63.64 | 59.52 |
162 | 13.94 | 21.43 | |
164 | 22.73 | 19.05 | |
pun935 | 102 | 64 | 59.09 |
108 | 34.67 | 31.82 | |
120 | 1.33 | 2.27 | |
124 | 0 | 6.82 | |
fca5 | 139* | 38.64 | 61.36 |
141 | 36.36 | 25.00 | |
143* | 25.00 | 9.09 | |
145 | 0 | 4.55 | |
fca161 | 184 | 4.65 | 15.00 |
188 | 1.16 | 0 | |
190* | 70.93 | 45.00 | |
192* | 23.26 | 40.00 | |
fca91 | 134 | 2.50 | 0 |
140 | 73.75 | 86.84 | |
144 | 23.75 | 13.16 | |
fca441 | 144 | 15.85 | 15.91 |
148 | 30.49 | 36.36 | |
152 | 32.93 | 25.00 | |
156 | 3.66 | 0 | |
160 | 15.85 | 18.18 | |
164 | 1.22 | 4.55 |
* Alleles that significantly differ in frequency between the samples.
Table 3.
Locus | Ar (hist.) | Ar (mod.) | Ho (hist.) | He (hist.) | Ho (mod.) | He (mod.) | M (hist.) | M (mod.) |
---|---|---|---|---|---|---|---|---|
e7 | 2.862 | 2.999 | 0.09091 | 0.17230 | 0.19512 | 0.18278 | 0.42857 | 0.42857 |
fca304 | 3.000 | 3.000 | 0.36364 | 0.65011 | 0.69048 | 0.67441 | 0.33333 | 0.33333 |
fca43 | 3.984 | 3.000 | 0.50000 | 0.68182 | 0.59091 | 0.55695 | 0.36364 | 0.33333 |
e21b | 3.000 | 3.000 | 0.57143 | 0.57724 | 0.61364 | 0.53083 | 0.60000 | 0.60000 |
pun935 | 3.862 | 3.000 | 0.63636 | 0.55708 | 0.58333 | 0.47640 | 0.17391 | 0.15789 |
fca5 | 3.984 | 3.000 | 0.36364 | 0.56342 | 0.72727 | 0.66353 | 0.57143 | 0.60000 |
fca161 | 3.000 | 3.837 | 0.45000 | 0.63077 | 0.44186 | 0.44569 | 0.33333 | 0.44444 |
fca91 | 2.000 | 2.991 | 0.26316 | 0.23471 | 0.37500 | 0.40411 | 0.40000 | 0.27273 |
fca441 | 4.984 | 5.877 | 0.72727 | 0.76216 | 0.95122 | 0.75610 | 0.23810 | 0.28571 |
Mean | 0.44071 | 0.53662 | 0.57431 | 0.52120 | 0.38248 | 0.38400 | ||
s.d. | 0.19585 | 0.20011 | 0.21849 | 0.17184 | 0.13919 | 0.14885 |
A decrease allelic diversity (Ar) with a simultaneous dramatic decrease in population size reduces rare alleles [11]. Our analysis of the two samples showed an increase in Ar by one allele for three loci and a decrease for three loci (Table 3). The frequency of such an allele was lower than 7% in all cases. Opposite changes allelic diversity values indicate that our samples of specimens most likely failed to fully represent genetic diversity of the population in different periods of time. This is because migration, but not an accumulation of mutations in the genome, is the only factor that can explain an increase in allele number in the modern population compared with the historical population. A significant change in allele frequency between the two samples was observed for five alleles of three loci.
The effective population size Ne was calculated to be 11.4 (95% interval 5.1–28.8) for the historical sample and 34.4 (95% interval 17–106.8) for the modern sample. A comparable Ne value, 26 tigers (95% interval 12–79), has been calculated for a sample of 2001–2002 by the LD method [12]. A far lower effective population size obtained for the historical sample possibly indicates that the population size was substantially lower than modern in the respective period.
A check for excess of heterozygosity was performed with the modern sample by the Wilcoxon test to determine whether a bottleneck occurred in the population. Significant results were obtained with all of the mutation models: IAM (P = 0.00098), TPM (P = 0.00098), and SMM (P = 0.00098). Similar results were obtained with the historical sample: IAM (P = 0.00098), TPM (P = 0.00098), and SMM (P = 0.00195). Other tests confirmed a recent bottleneck. Likewise, a significant excess of heterozygosity by the Wilcoxon test (P < 0.001) has been observed for a modern sample of 15 tigers (1999–2000) [13].
The Garza–Williamson tests estimates the likelihood of a bottleneck for an earlier historical period (more than 100 generations ago). The coefficient M of both of the samples was 0.38, substantially lower than the threshold M = 0.68, which is characteristic of presumably stable populations [7]. A bottleneck occurring in that period has not been supported in other studies, where the coefficient M has been estimated at 0.67 [12] or 0.835 [13]. Three haplotypes have been observed in the modern population in a mitochondrial DNA analysis, the result supporting a bottleneck [14]. In addition, this might be associated with an initially small size of the founder population that migrated from Central Asia to the modern Amur tiger range approximately 10 000 years ago [15].
Thus, in contrast to other studies, two basically different models confirmed in our work that a low-abundance period occurred in the history of the population. The population was presumably bottlenecked twice, in the remote past (approximately 10 000 years ago [14]) and recently (in the mid-20th century [2]).
ACKNOWLEDGMENTS
We are grateful to G.F. Baryshnikov (Zoological Institute) and V.S. Lebedev (Zoological Museum, Moscow State University) for providing museum specimens for genetic analyses.
FUNDING
This work was performed within the framework of the permanent expedition of the Russian Academy of Sciences to investigate the animals included in the Red List of the Russian Federation and other especially important animals of Russian fauna, as part of the “Program of Amur Tiger Research in the Russian Far East,” which is carried out at Severtsov Institute of Ecology and Evolution and is supported by the Russian Geographical Society and a grant from the President of the Russian Federation (project no. MK-2553.2012.4).
COMPLIANCE WITH ETHICAL STANDARDS
Conflict of interest. The authors declare that they have no conflicts of interest.
Statement on the welfare of animals. All applicable international, national, and/or institutional guidelines for the care and use of animals were followed.
Footnotes
Translated by T. Tkacheva
Publisher’s Note.
Pleiades Publishing remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
REFERENCES
- 1.Rozhnov V.V., Naidenko S.V., Hernandez-Blanco J.A., Chistopolova M.D. Biol. Bull. 2021;48:1401–1423. doi: 10.1134/S1062359021080239. [DOI] [Google Scholar]
- 2.Kaplanov L.G. Tigr. Izyubr’. Los’ (Tiger. Manchurian Wapiti. Elk), Moscow: Mosk. O-vo. Ispyt. Prir. 1948;14:18–49. [Google Scholar]
- 3.Matyushkin, E.N., Pikunov, D.G., Dunishenko, Yu.M., Mikuell, D., et al., Redkie vidy mlekopitayushchikh Rossii i sopredel’nykh territorii (Rare Mammal Species of Russia and Adjacent Territories), Moscow: VTO Ross. Akad. Nauk, 1999, pp. 242–271.
- 4.Dunishenko, Yu.M. and Aramilev, S.V., Amurskii tigr: nekoronovannyi vlastelin taiga (Amur Tiger: The Uncrowned Lord of Taiga), Moscow: Tsentr Amurskii Tigr, 2020.
- 5.Sorokin P.A., Rozhnov V.V., Krasnenko A.U., Lukarevskiy V.S. Integr. Zool. 2016;11:25–32. doi: 10.1111/1749-4877.12175. [DOI] [PubMed] [Google Scholar]
- 6.Piry S., Luikart G., Cornuet J.M. J. Hered. 1999;90:502–503. doi: 10.1093/jhered/90.4.502. [DOI] [Google Scholar]
- 7.Garza J.C., Williamson E.G. Mol. Ecol. 2001;10:305–318. doi: 10.1046/j.1365-294X.2001.01190.x. [DOI] [PubMed] [Google Scholar]
- 8.Excoffier L.G., Lischer H.E.L. Mol. Ecol. Resour. 2010;10:564–567. doi: 10.1111/j.1755-0998.2010.02847.x. [DOI] [PubMed] [Google Scholar]
- 9.Do C., Waples R.S., Peel D., Macbeth G.M. Mol. Ecol. Resour. 2014;14:209–214. doi: 10.1111/1755-0998.12157. [DOI] [PubMed] [Google Scholar]
- 10.Goudet, J., FSTAT (Ver. 2.9.4), a program to estimate and test population genetics parameters, 2003. http://www.unil.ch/izea/softwares/fstat.html.
- 11.Peery M.Z., Kirby R., Reid B.N., Stoelting R. Mol. Ecol. 2012;21:3403–3418. doi: 10.1111/j.1365-294X.2012.05635.x. [DOI] [PubMed] [Google Scholar]
- 12.Henry P., Miquelle D., Sugimoto T., Mccullough D.R. Mol. Ecol. 2009;18:3173–3184. doi: 10.1111/j.1365-294X.2009.04266.x. [DOI] [PubMed] [Google Scholar]
- 13.Alasaad S., Soriguer R.C., Chelomina G., Sushi-tsky Y.P., Joerns Fickel J. Mamm. Biol. 2011;76:722–726. doi: 10.1016/j.mambio.2011.01.011. [DOI] [Google Scholar]
- 14.Russello M.A., Gladyshev E., Miquelle D., Caccone A. Conserv. Genet. 2004;5:707–713. doi: 10.1007/s10592-004-1860-2. [DOI] [Google Scholar]
- 15.Driscoll C.A., Yamaguchi N.C., Bar-Gal G.K., Roca A.L. PLoS One. 2009;4:1–8. doi: 10.1371/journal.pone.0004125. [DOI] [PMC free article] [PubMed] [Google Scholar]