Development and evaluation of microsatellite markers for the critically endangered birch Betula chichibuensis (Betulaceae)

Abstract

Premise of the study:

Microsatellite markers were developed and characterized for the critically endangered birch Betula chichibuensis (Betulaceae) to investigate the genetic structure of this species for conservation purposes.

Methods and Results:

Sixteen microsatellite markers with di‐, tri‐, and tetranucleotide repeat motifs were developed and optimized using MiSeq paired‐end sequencing. Of these, 14 were polymorphic, with two to five alleles per locus, in 47 individuals from two newly discovered populations of B. chichibuensis in Japan. Observed and unbiased expected heterozygosities per locus ranged from 0.000 to 0.617 and from 0.000 to 0.629, respectively. These markers were tested for cross‐species amplification in B. maximowicziana, B. platyphylla var. japonica, and B. schmidtii.

Conclusions:

This set of microsatellite markers, the first developed for B. chichibuensis, will help elucidate spatial patterns of gene flow and levels of inbreeding in this species to aid its conservation.

The genus Betula L. (Betulaceae) comprises approximately 60 tree species distributed in boreal and cool‐temperate zones of the Northern Hemisphere (Furlow, 1990). Individuals of B. chichibuensis H. Hara (subgenus Aspera) are small trees endemic to Japan (Ashburner and McAllister, 2013). Partly because its habitat is limited to limestone outcrops, this species is narrowly confined to the Chichibu (McAllister, 1993; Igarashi and Yoshida, 2013) and Kitakami (Nagato and Shimai, 2007) mountains in central and northeastern Honshu, respectively. Because only a few small populations have been recorded in these locations, B. chichibuensis is listed as critically endangered on the IUCN Red List (Shaw et al., 2014). The small population sizes and restricted distribution of B. chichibuensis make this species susceptible to diseases and natural disasters, and seriously impede gene flow (Ministry of the Environment, 2015). Analysis of B. chichibuensis genetic structure and maintenance of its genetic diversity are therefore essential for both in situ and ex situ conservation.

In this study, we developed microsatellite markers for B. chichibuensis to investigate the current genetic status of the remaining populations. We also examined the transferability of these developed markers to three other Betula species: B. maximowicziana Regel (subgenus Acuminata), B. platyphylla Sukaczev var. japonica (Miq.) H. Hara (subgenus Betula), and B. schmidtii Regel (subgenus Aspera).

METHODS AND RESULTS

Plant material and DNA extraction

Plant materials of B. chichibuensis were collected from two newly discovered populations growing on limestone outcrops on western Futago Mountain (WF) and along the Oku‐Chichibu Forest Road (OC) in the Chichibu Mountains of Japan (Appendix 1). Shoots of 23 and 24 individuals were collected from WF and OC, respectively. Genomic DNA was extracted from freeze‐dried leaves and winter buds using a DNeasy Plant Mini Kit (QIAGEN, Hilden, Germany). The concentration of genomic DNA was determined with a Qubit 2.0 Fluorometer (Life Technologies, Carlsbad, California, USA) and by gel electrophoresis.

Microsatellite marker development

A total of 400 ng of genomic DNA from an individual OC sample was sheared with NEBNext dsDNA Fragmentase (New England Biolabs, Ipswich, Massachusetts, USA). A paired‐end library for MiSeq sequencing (Illumina, San Diego, California, USA) was generated using a NEBNext Ultra DNA Library Prep Kit for Illumina (New England Biolabs). A single 301‐bp paired‐end sequencing run yielded 20,746,148 reads (DNA Data Bank of Japan [DDBJ] Sequence Read Archive accession no.: DRA005642). Raw reads with quality scores less than 20 and lengths shorter than 20 bp were filtered using Sickle version 1.33 (Joshi and Fass, 2011). De novo assembly using Velvet version 1.2.10 (Zerbino and Birney, 2008) produced 204,911 contigs, where parameters were set as k‐mer as 91, auto coverage cut‐off, and minimum contig length of 300. The data sets were collated and filtered in QDD version 3.1 (Meglécz et al., 2014) to generate sequences containing microsatellites and to design PCR primers. A total of 125 perfect microsatellite loci consisting of di‐, tri‐, tetra‐, penta‐, and hexanucleotide repeat motifs were identified according to the following parameters: GC content of 40–60%, a melting temperature of 57°C to 63°C, and a maximum difference of 2°C between forward and reverse primers.

Microsatellite marker screening

For initial screening, of the 125 loci identified, 56 were selected based on repeat number and fragment size. For these loci, PCR amplification and polymorphism were tested using 10 samples. Individual primer pairs were assayed in 10‐μL reaction mixtures containing 4 ng of genomic DNA, 0.05 μM of M13–21‐tagged (5′‐TGTAAAACGACGGCCAGT‐3′) forward primer, 0.2 μM of reverse primer, 0.2 μM of universal primer labeled with 6‐FAM fluorescent dye (Applied Biosystems, Foster City, California, USA), 0.2 μL of PrimeSTAR GXL DNA polymerase (TaKaRa Bio Inc., Tokyo, Japan), 2 μL of 5× PrimeSTAR GXL Buffer, and 0.2 mM of dNTP mixture. Thermal cycling conditions consisted of 98°C for 5 min; followed by 38 cycles of 98°C for 20 s, touchdown annealing (65°C for four cycles, 63°C for four cycles, 60°C for 20 cycles, and 53°C for 10 cycles) for 20 s, and 68°C for 40 s; and a final step of 68°C for 2 min. Based on the test results, 16 primer pairs were selected (Table 1).

1

Characteristics of 16 microsatellite markers developed for Betula chichibuensis.^a

Locus	Primer sequences (5′–3′)	Repeat motif	Allele size range (bp)	Fluorescent dyeb (Multiplex set no.)	GenBank accession no.
Bcc3	F: CTTGTCCCTCATCAGCCTTG	(CT)12	281–283	PET2 (1)	LC214895
	R: GCCATTGGTGTTGCATATCTT
Bcc4	F: CCTGGTAACAAGATCATTGCAT	(CT)12	243–245	NED1 (1)	LC214896
	R: GGGTTCTCATCAAACCCTGA
Bcc7	F: GGAATAGCCCATTCGACCTT	(AG)11	277–283	FAM2 (1)	LC214897
	R: GAGATCACGCATTTCCCAGT
Bcc10	F: GACCCGGCACAAACTTAATC	(AG)11	230–234	VIC1 (1)	LC214898
	R: GGGAAGGATCGTGGAGAAAT
Bcc11	F: CATGCCTTGGAACTGGAAAG	(CT)11	254–256	PET1 (1)	LC214899
	R: CAATTGCAGAACCTGCTCCT
Bcc13	F: GGGACCACTTGAAGATGACA	(TC)11	234	PET1 (2)	LC214900
	R: TGAATGCCGTCCTTAGCTCT
Bcc16	F: CAACCAGGAGGGCGTATTAG	(AG)11	260–262	VIC2 (2)	LC214901
	R: GATCAGATCCGCAATGCTAT
Bcc18	F: GGACTCCCATCTGGTAGGAT	(AT)11	260–276	NED2 (2)	LC214902
	R: GCCACTCCCTAATCATCAACTT
Bcc22	F: GTGCAAACTGACTCTTGGCG	(CAA)8	302–305	PET2 (2)	LC214903
	R: ATATGCATGTCCGAGCCTGT
Bcc25	F: ACCATTGTTGTGGAGTTCCG	(AGA)8	156–160	FAM1 (2)	LC214904
	R: AAAGCGCGTAGAGCTCGTTT
Bcc27	F: CGTACACCCAAACTGACCCT	(CCA)7	203–215	NED1 (2)	LC214905
	R: CTTTCGCCATTGAGTTCTCC
Bcc30	F: GCGATAGCCGTTCTTCCATA	(AAG)7	221–224	FAM1 (1)	LC214906
	R: CGGCTTAATGCCATAGAAGG
Bcc34	F: GGGTGCAAGCAGCTAGAGAC	(AAG)7	200–205	VIC1 (2)	LC214907
	R: CCAACTTGGTGCCATTAGTGT
Bcc38	F: ACGTTGTGGCAAATTCATTG	(CTTT)6	241	FAM2 (2)	LC214908
	R: TTGCTGCATGAACCTCTTTC
Bcc46	F: GCACCGTTAAGTGCATCAAA	(GAAA)5	271–283	VIC2 (1)	LC214909
	R: ACATACGCACTTGAATCGCA
Bcc50	F: TACAGGTTGGGTTGCCAAAT	(TTAT)5	300–308	NED2 (1)	LC214910
	R: TCCCGTATTAAGGACCATCTG

a

Touchdown annealing temperatures (63°C to 57°C [−1°C every two cycles] for 14 cycles, 56°C for 15 cycles, 53°C to 51°C [−1°C every two cycles] for six cycles, and 50°C for 15 cycles) were used.

b

Sequences of fluorescent labels were as follows: FAM1 = 5′‐TGTAAAACGACGGCCAGT‐3′ (M13–21), VIC1 = 5′‐CGCATTCTCATTGCATAC‐3′ (CMV‐Fw), NED1 = 5′‐ATGCTAGTTATTGCTCAG‐3′ (pBAD‐F), PET1 = 5′‐CAGTAATCAGCTATGACG‐3′ (M13‐P5), FAM2 = 5′‐TGTAAAACGACAGATCGT‐3′ (modified M13–21), VIC2 = 5′‐CGCATTCTCAACTCTATG‐3′ (modified CMV‐Fw), NED2 = 5′‐ATGCTAGTTATCTGCAGT‐3′ (modified pBAD‐F), PET2 = 5′‐CAGTAATCAGGATCTGAC‐3′ (modified M13‐P5).

Polymorphism of the 16 markers was examined in 47 samples from the two distinct WF and OC populations (Appendix 1). Following a modified version of the efficient genotyping method described by Blacket et al. (2012), locus‐specific forward primers were tagged with 5′ sequences (Table 1), while universal primers were labeled with different fluorescent dyes (6‐FAM, VIC, NED, or PET; Applied Biosystems). Two sets of 8‐plex PCR amplifications were performed in 10‐μL reaction mixtures containing 10 ng of genomic DNA, 0.05 μM of forward primer, 0.2 μM of reverse primer, 0.2 μM of fluorescently labeled primer, 0.5 μL of PrimeSTAR GXL DNA polymerase (TaKaRa Bio Inc.), 2 μL of 5× PrimeSTAR GXL Buffer, and 0.3 mM of dNTP mixture. To obtain high‐quality amplification product, a modification of the touchdown PCR procedure of Korbie and Mattick (2008) was carried out using the following cycling conditions: 98°C for 5 min; followed by 50 cycles of 98°C for 30 s, touchdown annealing (63°C to 57°C [decreasing 1°C every two cycles] for 14 cycles, 56°C for 15 cycles, 53°C to 51°C [decreasing 1°C every two cycles] for six cycles, and 50°C for 15 cycles) for 90 s, and 68°C for 40 s; and a final step of 68°C for 15 min. Finally, 1 μL of PCR product was mixed with 0.5 μL of GeneScan 600 LIZ Size Standard (Applied Biosystems) and 8.5 μL Hi‐Di formamide (Applied Biosystems) and sequenced on an ABI 3730xl DNA Analyzer (Applied Biosystems). Genotypes were scored by analyzing fragment sizes using Peak Scanner version 2.0 (Applied Biosystems).

Microsatellite marker evaluation

Descriptive statistics were computed for the assayed markers using CERVUS version 3.0.7 (Kalinowski et al., 2007). Of the 16 loci tested, 14 were polymorphic, with two to five alleles per locus detected across 47 individuals from the WF and OC populations (Table 2). The mean number of alleles per locus was 2.438, with mean observed and unbiased expected heterozygosities per locus of 0.327 (0.000–0.617) and 0.350 (0.000–0.629), respectively. The mean number of alleles per locus was 2.250 in the WF population and 2.313 in the OC population. For the WF population, mean observed and unbiased expected heterozygosities per locus were 0.285 (0.000–0.652) and 0.295 (0.000–0.641), respectively; for the OC population, the corresponding values were 0.367 (0.000–0.708) and 0.367 (0.000–0.681). GENEPOP version 4.2 (Rousset, 2008) was used to test for deviations from Hardy–Weinberg equilibrium. No significant deviations (P < 0.05) were observed at any of the loci in either population. Null allele frequency estimates were nearly zero or negative except for Bcc10 and Bcc25 in the WF population and Bcc50 in the OC population. Cross‐amplifications were carried out to test marker transferability to closely related species (Appendix 1). Polymorphic variation was detected at six loci in B. maximowicziana and B. platyphylla var. japonica and at seven loci in B. schmidtii (Table 3). These results are consistent with the close phylogenetic relationship of B. chichibuensis and B. schmidtii (Wang et al., 2016).

2

Genetic variation of 16 microsatellite loci in two natural populations of Betula chichibuensis in central Honshu, Japan.^a

	Western Futago Mountain (n = 23)	Oku‐Chichibu Forest Road (n = 24)	Total (n = 47)
Locus	A	Hob	He	Null	A	Hob	He	Null	A	Hob	He	Null
Bcc3	2	0.478	0.414	−0.082	2	0.250	0.284	0.053	2	0.362	0.351	−0.021
Bcc4	2	0.391	0.322	−0.107	2	0.458	0.510	0.043	2	0.426	0.454	0.027
Bcc7	3	0.130	0.127	−0.024	3	0.542	0.513	−0.056	3	0.340	0.356	0.002
Bcc10	3	0.391	0.492	0.101	3	0.542	0.536	−0.020	3	0.468	0.563	0.092
Bcc11	1	0.000	0.000	―	2	0.250	0.223	−0.062	2	0.128	0.121	−0.024
Bcc13	1	0.000	0.000	―	1	0.000	0.000	―	1	0.000	0.000	―
Bcc16	2	0.043	0.043	−0.004	1	0.000	0.000	―	2	0.021	0.021	−0.001
Bcc18	2	0.304	0.264	−0.079	2	0.500	0.383	−0.142	2	0.404	0.326	−0.111
Bcc22	3	0.348	0.414	0.066	3	0.167	0.159	−0.035	3	0.255	0.298	0.059
Bcc25	3	0.304	0.425	0.167	3	0.708	0.681	−0.031	3	0.511	0.613	0.100
Bcc27	4	0.565	0.641	0.052	4	0.667	0.593	−0.067	5	0.617	0.628	0.006
Bcc30	2	0.391	0.414	0.018	2	0.417	0.496	0.077	2	0.404	0.461	0.060
Bcc34	2	0.043	0.043	−0.004	3	0.500	0.465	−0.074	3	0.277	0.284	−0.009
Bcc38	1	0.000	0.000	―	1	0.000	0.000	―	1	0.000	0.000	―
Bcc46	2	0.522	0.487	−0.046	2	0.417	0.422	−0.004	2	0.468	0.500	0.027
Bcc50	3	0.652	0.633	−0.033	3	0.458	0.606	0.133	3	0.553	0.629	0.058
Average	2.250	0.285	0.295	0.002	2.313	0.367	0.367	−0.014	2.438	0.327	0.350	0.019

Note: A = number of alleles; H_e = unbiased expected heterozygosity; H_o = observed heterozygosity; n = number of individuals sampled; Null = null allele frequency estimate.

a

Voucher and locality information are provided in Appendix 1.

b

No significant deviation from Hardy–Weinberg equilibrium was detected (P < 0.05).

3

Cross‐amplification of 16 microsatellite loci in three species closely related to Betula chichibuensis.^a

	B. maximowicziana (n = 5)	B. platyphylla var. japonica (n = 5)	B. schmidtii (n = 5)
Locus	A	Ho	He	A	Ho	He	A	Ho	He
Bcc3	2	0.400	0.356	2	0.200	0.200	2	0.200	0.200
Bcc4	―	―	―	―	―	―	―	―	―
Bcc7	1	0.000	0.000	1	0.000	0.000	2	0.400	0.356
Bcc10	1	0.000	0.000	2	0.200	0.200	―	―	―
Bcc11	2	0.400	0.356	3	0.400	0.600	―	―	―
Bcc13	2	0.200	0.200	2	0.200	0.200	1	0.000	0.000
Bcc16	―	―	―	―	―	―	―	―	―
Bcc18	1	0.000	0.000	4	0.600	0.711	―	―	―
Bcc22	1	0.000	0.000	―	―	―	―	―	―
Bcc25	1	0.000	0.000	―	―	―	1	0.000	0.000
Bcc27	―	―	―	―	―	―	2	0.000	0.533
Bcc30	1	0.000	0.000	1	0.000	0.000	2	0.400	0.356
Bcc34	―	―	―	1	0.000	0.000	2	0.400	0.533
Bcc38	5	1.000	0.844	1	0.000	0.000	2	0.400	0.356
Bcc46	2	0.200	0.556	3	0.400	0.600	1	0.000	0.000
Bcc50	2	0.000	0.356	1	0.000	0.000	2	0.200	0.200
Average	1.313	0.138	0.167	1.313	0.125	0.157	1.063	0.125	0.158

Note: ― = failed or nonspecific amplification (i.e., three or more polymorphic bands detected); A = number of alleles; H_e = unbiased expected heterozygosity; H_o = observed heterozygosity; n = number of individuals sampled.

a

Testing for Hardy–Weinberg equilibrium and estimation of null allele frequency were not performed because of small sample sizes.

CONCLUSIONS

We developed 16 microsatellite markers for the critically endangered birch B. chichibuensis using MiSeq paired‐end sequencing. These markers will facilitate understanding of spatial patterns of gene flow and levels of inbreeding, information essential for the conservation of the small isolated populations of this species. Some of the markers were successfully transferred to closely related Betula species.

Appendix 1.

Voucher information for species used in the development and evaluation of microsatellite markers for Betula chichibuensis.

Taxon	Population	Location	Geographic coordinatesa	N	Voucher no.b
B. chichibuensis H. Hara	Western Futago Mountain (WF)	Ogano, Saitama, Japan	36°04′N, 138°51′E	23	UTCFBC 00001–00015, 00017–00024
	Oku‐Chichibu Forest Rd. (OC)	Chichibu, Saitama, Japan	35°57′N, 138°44′E	24	UTCFBC 00073–00096
B. maximowicziana Regel	Tochimoto	Chichibu, Saitama, Japan	35°57′N, 138°49′E	5	UTCFFT 00039.1–00039.5
B. platyphylla Sukaczev var. japonica (Miq.) H. Hara	Tochimoto	Chichibu, Saitama, Japan	35°56′N, 138°49′E	5	UTCFFT 00040.1–00040.5
B. schmidtii Regel	Ochigawa	Chichibu, Saitama, Japan	35°54′N, 138°59′E	5	UTCFFT 00041.1–00041.5

Note: N = number of samples.

a

For conservation reasons, low‐resolution geographic coordinates are given.

b

All vouchers are stored at the Herbarium of the University of Tokyo Chichibu Forest (UTCF), The University of Tokyo, Saitama, Japan.