Literature DB >> 27355212

Multiplex APLP System for High-Resolution Haplogrouping of Extremely Degraded East-Asian Mitochondrial DNAs.

Tsuneo Kakuda1, Hideki Shojo1, Mayumi Tanaka1, Phrabhakaran Nambiar2, Kiyoshi Minaguchi3, Kazuo Umetsu4, Noboru Adachi1.   

Abstract

Mitochondrial DNA (mtDNA) serves as a powerful tool for exploring matrilineal phylogeographic ancestry, as well as for analyzing highly degraded samples, because of its polymorphic nature and high copy numbers per cell. The recent advent of complete mitochondrial genome sequencing has led to improved techniques for phylogenetic analyses based on mtDNA, and many multiplex genotyping methods have been developed for the hierarchical analysis of phylogenetically important mutations. However, few high-resolution multiplex genotyping systems for analyzing East-Asian mtDNA can be applied to extremely degraded samples. Here, we present a multiplex system for analyzing mitochondrial single nucleotide polymorphisms (mtSNPs), which relies on a novel amplified product-length polymorphisms (APLP) method that uses inosine-flapped primers and is specifically designed for the detailed haplogrouping of extremely degraded East-Asian mtDNAs. We used fourteen 6-plex polymerase chain reactions (PCRs) and subsequent electrophoresis to examine 81 haplogroup-defining SNPs and 3 insertion/deletion sites, and we were able to securely assign the studied mtDNAs to relevant haplogroups. Our system requires only 1×10-13 g (100 fg) of crude DNA to obtain a full profile. Owing to its small amplicon size (<110 bp), this new APLP system was successfully applied to extremely degraded samples for which direct sequencing of hypervariable segments using mini-primer sets was unsuccessful, and proved to be more robust than conventional APLP analysis. Thus, our new APLP system is effective for retrieving reliable data from extremely degraded East-Asian mtDNAs.

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Year:  2016        PMID: 27355212      PMCID: PMC4927117          DOI: 10.1371/journal.pone.0158463

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Mitochondrial DNA (mtDNA) is a powerful tool for exploring matrilineal phylogeographic ancestry, as well as for analyzing highly degraded samples, because of its polymorphic nature and high copy numbers per cell. The recent advent of complete mitochondrial genome sequencing has led to improved techniques for phylogenetic analyses based on mtDNA, and many multiplex genotyping methods have been developed for the hierarchical analysis of phylogenetically important mutations [1-7]. However, few multiplex genotyping systems for analyzing East-Asian mtDNA lineage can be applied to extremely degraded samples [2, 5–7]. Even in these studies, haplogroup D, which exhibits the highest frequency and incidence of variations in many East-Asian populations, is not sufficiently classified. For example, Coutinho et al. [6] divided haplogroup D into 8 sub-haplogroups (the highest number among the above-mentioned studies). However, with the exception of sub-haplogroups D4b1 and D4e, these sub-haplogroups are exclusively observed in Native Americans; moreover, many sub-haplogroups of haplogroup D that are phylogenetically important in East-Asian populations are missing (e.g., haplogroup D4a). Therefore, there is a need to establish higher resolution multiplex systems for the hierarchical analysis of phylogenetically important mutations in East-Asian populations. Among the methods for analysis of single nucleotide polymorphisms in mtDNA (mtSNPs), amplified product-length polymorphism (APLP) [8, 9] is considered one of the simplest and most robust. To detect mtSNPs, APLP employs two allele-specific primers, one of which has a few non-complementary bases in the 5'-terminus. The detection consists of assessing the difference in the length of the amplicons, which are obtained by polymerase chain reaction (PCR) and subsequent electrophoresis. We previously showed the effectiveness of APLP-based multiplex mtSNP analyses [9] for highly degraded samples when we successfully clarified the genealogy of individuals, and the relationship between populations excavated from different archaeological sites [10-16]. However, with respect to the successful analysis of extremely degraded samples, the conventional mitochondrial APLP (mtAPLP) system [9] has at least four drawbacks. First, conventional mtAPLP systems examine 35 haplogroup-diagnostic mtSNPs and a 9-bp repeat variation in the non-coding cytochrome oxidase II/tRNALys intergenic region. This number of polymorphic sites is too small for classifying mtDNAs to sub-haplogroup level without using the sequence data of the hypervariable segments (HVS). Second, in each set of a conventional mtAPLP system, the mtSNPs are not selected in accordance with the phylogenetic order. For instance, the macro-haplogroup examined in set A is N despite the fact that seven out of nine haplogroups examined in this set stem from macro-haplogroup M: haplogroup D, its branches (D4, D4a, D4b, D4g, and D4e), and haplogroup M12. Third, the competitiveness of some primers is low. For example, haplogroup F mtDNA always shows an extra 66-bp band on gel. Fourth, the amplicon size is considered inappropriate. In practice, amplicons longer than 120 bp frequently disappear when analyzing extremely degraded samples. To overcome such limitations, a more accurate, detailed, and sensitive mtDNA haplogrouping system is required. Here, we present a novel multiplex inosine-flapped APLP system that is specifically designed for haplogrouping extremely degraded East-Asian mtDNAs.

Materials and Methods

DNA samples

To obtain modern-day DNA samples, intraoral epithelial cells were collected from eight healthy Japanese adults. Before cells were collected, volunteers were informed, in writing that their DNA would be anonymized and that it would be used only for haplogrouping of its mtDNA. Written consent was then obtained from each volunteer to use his or her DNA in the study. Both the consent procedure and, the written forms, were approved by the ethics committee of the Faculty of Medicine of the University of Yamanashi. In order to establish the current APLP system, in addition to the samples from the volunteers, we also used ancient and modern-day DNA samples for which the mtDNA haplogroups had been securely determined in previous studies [9-17]. DNA samples provided by the University of Malaya, Tokai University School of Medicine, and the Yamagata University had all been anonymized before arriving at our research facility at the University of Yamanashi. We obtained permission to conduct this study using these DNA samples from each of the respective universities. The intraoral epithelial cells were collected using a forensic swab (Sarstedt Inc., Nümbrecht, Germany). DNA extraction was performed using a MonoFas® Intraoral epithelial cells genome DNA extraction kit VIII (GL Science Inc., Tokyo, Japan), and the manufacturer’s protocol was followed. The quantity and purity of the DNA was evaluated by optical density (OD)260 and OD260/280 measurements, obtained using a spectrophotometer (Nano Drop 1000; Thermo Fisher Scientific Inc., Waltham, MA, USA). To determine the mtDNA haplogroups from these DNA samples, segments of mtDNA that cover parts of the tRNAPro gene, the hypervariable segments (HVS) 1 (nucleotide position (np) 15999–16366, relative to the revised Cambridge reference sequence (rCRS) [18]), and HVS 2 (np 128–256) were analyzed as described previously [12]. Moreover, to confirm our ability to identify mtDNA haplogroups from modern-day samples, we also analyzed haplogroup-diagnostic mtSNPs and a 9-bp repeat variation in the non-coding cytochrome oxidase II/tRNALys intergenic region by using the conventional mtAPLP system [9]. Nucleotide changes observed in eight modern-day samples are shown in Fig 1. Thereafter, we assigned each modern-day mtDNA under study to the relevant haplogroup by using Phylotree, the updated comprehensive phylogenetic tree of global human mitochondrial DNA variation (www.phylotree.org; mtDNA tree Build 17) [19]. Basically, Phylotree is built based on the Reconstructed Sapience Reference Sequence (RSRS) [20] to avoid inconsistencies, misinterpretations, and errors in medical, forensic, and population genetic studies. However, the description of nucleotide changes in the conventional mtAPLP system [9] is based on rCRS. Therefore, we used an rCRS-oriented version of mtDNA tree Build 17 [19] as a classification tree for the modern-day samples.
Fig 1

Nucleotide changes observed in modern-day DNA samples.

aAll polymorphic sites are numbered according to the rCRS [18]. CRS denotes that the sequence of the segment is identical to the rCRS. The suffix A indicates a transversion, and d indicates a deletion. Deletions are recorded at the last possible site. Diagnostic polymorphisms are emphasized by bold italic type. bAll polymorphic sites are numbered according to the rCRS. Diagnostic polymorphisms are emphasized by bold italic type. The sites that did not show polymorphisms are omitted.

Nucleotide changes observed in modern-day DNA samples.

aAll polymorphic sites are numbered according to the rCRS [18]. CRS denotes that the sequence of the segment is identical to the rCRS. The suffix A indicates a transversion, and d indicates a deletion. Deletions are recorded at the last possible site. Diagnostic polymorphisms are emphasized by bold italic type. bAll polymorphic sites are numbered according to the rCRS. Diagnostic polymorphisms are emphasized by bold italic type. The sites that did not show polymorphisms are omitted. Furthermore, in order to evaluate the effectiveness of our system for the analysis of extremely degraded samples, we also tested ancient DNA samples extracted from one early Kofun (approximately 1,600 years old) and 11 Middle Jomon (approximately 4,000 years old) skeletons excavated from the Kusakari shell midden site, Chiba, Japan. DNA was extracted from the teeth of these skeletons according to the method described by Adachi et al. [14].

Hierarchical analysis of phylogenetically important East-Asian mtSNPs

To securely assign East-Asian mtDNAs to the relevant haplogroups, we analyzed 81 haplogroup-diagnostic SNPs, and three deletion/insertion polymorphisms (Fig 2): for haplogroup B, a 9-bp deletion in the non-coding cytochrome oxidase II/tRNALys intergenic region; for haplogroup C5, a cytosine insertion just after nucleotide position 595 (595.1 C); for haplogroup C1, a 2-bp deletion at positions 290–291. Each nucleotide position is numbered according to the RSRS [20]. These mutation sites were selected based on the RSRS-oriented version of mtDNA tree Build 17 [19], in consideration of the frequency and significance of the haplogroups observed in modern-day and ancient East Asian populations, as suggested by previous studies [9, 13–17, 21–27].
Fig 2

Scheme of mitochondrial DNA haplogroup assignment based on the haplogroup-defining mutations.

The color coding of the frames is consistent with that employed to identify electrophoretograms in Figs 3 and 4. Superscript numbers correspond to the electrophoretogram lane numbers shown in Figs 3 and 4. The primer sets of multiplexes M-I to M-VIII and N-I to N-VI are shown in Tables 1 and 2, respectively.

Scheme of mitochondrial DNA haplogroup assignment based on the haplogroup-defining mutations.

The color coding of the frames is consistent with that employed to identify electrophoretograms in Figs 3 and 4. Superscript numbers correspond to the electrophoretogram lane numbers shown in Figs 3 and 4. The primer sets of multiplexes M-I to M-VIII and N-I to N-VI are shown in Tables 1 and 2, respectively.
Fig 3

Electrophoretogram of PCR products from multiplexes M-I to M-VIII.

The primer sets of multiplexes M-I to M-VIII are shown in Table 2. Yellow, light blue, light green, red, green, purple, orange, and blue frames indicate multiplexes M-I, II, III, IV, V, VI, VII, and VIII, respectively. This color coding corresponds to that given in Fig 2. LM indicates the 10-bp ladder marker.

Fig 4

Electrophoretogram of PCR products from multiplexes N-I to N-VI.

The primer sets of multiplexes N-I to N-VI are shown in Table 2.Yellow, light blue, light green, red, green, and purple frames indicate multiplexes N-I, II, III, IV, V, and VI, respectively. The color coding corresponds to that given in Fig 2. LM indicates the 10-bp ladder marker.

Table 1

Primers of multiplexes M-I to M-VIII used for haplogrouping mtDNAs that stem from macro-haplogroup M.

Multiplex M-I
HaplogroupPrimer nameSequenceConcentration (μM)Amplicon length (bp)
MM-15043AIIII ATC CGT AAT ATA GGC CTC GT0.2104
non-MM-15043GATC CGT AAT ATA GGC CTC GC0.2100
M-15043FGTA AAT TAT GGC TGA ATC ATC CGC0.2
G/M12G/M12- 14569AII TAA CAC ACC CGA CCA CAC CA0.294
non-G/M12G/M12- 14569GACA CAC CCG ACC ACA CCG0.290
G/M12- 14569RTTT AGT AAT GGG GTT TGT GGG GT0.2
M8M8-7196AII AAC TTT CTT CCC ACA ACA CTT TCT A0.284
non-M8M8-7196CCTT TCT TCC CAC AAC ACT TTC TC0.280
M8-7196RTCA TGT GGT GTA TGC ATC GGG0.2
M7M7-6455TIIII CAA TAC CAA ACG CCC CTC TTT0.174
non-M7M7-6455CCAA TAC CAA ACG CCC CTC TTC0.270
M7-6455RCTG GGA GAG ATA GGA GAA GTA G0.2
DD-5178AIII CTA TCT CGC ACC TGA AAC AAG A0.264
non-DD-5178CTAT CTC GCA CCT GAA ACA AGC0.260
D-5178RAGA GGA GGG TGG ATG GAA TTA A0.2
non-D4D4-3010GIII TAA TAG CGG CTG CAC CAT C0.154
D4D4-3010AAAT AGC GGC TGC ACC ATT0.250
D4-3010FTTT ACG ACC TCG ATG TTG GAT C0.2
Multiplex M-II
HaplogroupPrimer nameSequenceConcentration (μM)Amplicon length (bp)
non-M29/QM29/Q-13500TIII GGA ATA CCT TTC CTC ACA GGT0.2104
M29/QM29/Q-13500CGAA TAC CTT TCC TCA CAG GC0.2100
M29/Q-13500RGCG ATG AGA GTA ATA GAT AGG G0.2
non-M10M10-8793TIIII GTG GTT GGT GTA AAT GAG TGA0.294
M10M10-8793CGTG GTT GGT GTA AAT GAG TGG0.190
M10-8793FAAC CTG ATC TCT TAT ACT AGT ATC CTT AAT C0.2
non-M11M11-1095TIII GGA TTA GAT ACC CCA CTA TGC TT0.184
M11M11-1095CGAT TAG ATA CCC CAC TAT GCT C0.280
M11-1095RGTG GCT CGT AGT GTT CTG G0.2
M9M9-4491AIIII GCA AAG ATG GTA GAG TAG ATG AT0.274
non-M9M9-4491GGCA AAG ATG GTA GAG TAG ATG AC0.270
M9-4491FATG TTG GTT ATA CCC TTC CCG T0.2
non-M9aM9a-14308TIIII GTT GTG GTA AAC TTT AAT AGT GTA GGA0.264
M9aM9a-14308CGTT GTG GTA AAC TTT AAT AGT GTA GGG0.260
M9a-14308FCCC TGA CCC CTC TCC TTC A0.2
non-EE-3705GIII TGT TTG GGC TAC TGC TCG C0.0554
EE-3705AGTT TGG GCT ACT GCT CGT0.250
E-3705FTCA AAC TCA AAC TAC GCC CTG A0.2
Multiplex M-III
HaplogroupPrimer nameSequenceConcentration (μM)Amplicon length (bp)
non-D6D6-3714AIII CTT CAT ATG AGA TTG TTT GGG CT0.2104
D6D6-3714GTTC ATA TGA GAT TGT TTG GGC C0.2100
D6-3714FCCT AGC CGT TTA CTC AAT CCT0.2
non-D5D5-5301AII TTC ACA AAA AAC AAT AGC CTC ATC A0.294
D5D5-5301GCAC AAA AAA CAA TAG CCT CAT CG0.290
D5-5301RGTG GAG TAG ATT AGG CGT AGG0.2
D5bD5b -1048TIII GTT TGG GTC TTA GCT ATT GTG TA0.184
non-D5bD5b -1048CTTT GGG TCT TAG CTA TTG TGT G0.280
D5b -1048FTGT AAA AAA CTC CAG TTG ACA CAA A0.2
D5aD5a -752TIII AAT CAC CAC GAT CAA AAG GGA T0.274
non-D5aD5a -752CATC ACC ACG ATC AAA AGG GAC0.270
D5a -752RTGT GGC TAG GCT AAG CGT TTT0.2
non-D1D1-2092CIIII GCT GTT CCT CTT TGG ACT AAC AG0.264
D1D1-2092TGCT GTT CCT CTT TGG ACT AAC AA0.260
D1-2092FTGC CCA CAG AAC CCT CTA AAT C0.2
D4jD4j-11696AIII CGT GGG CGA TTA TGA GAA TGA T0.154
non-D4jD4j-11696GGTG GGC GAT TAT GAG AAT GAC0.250
D4j-11696FTCC AAA CCC CCT GAA GCT TC0.2
Multiplex M-IV
HaplogroupPrimer nameSequenceConcentration (μM)Amplicon length (bp)
non-GG-4833AIIII CCA GAG GTT ACC CAA GGC A0.2104
GG-4833GCCA GAG GTT ACC CAA GGC G0.2100
G-4833RGTG AGG GAG AGA TTT GGT ATA TG0.2
G2G2-5601TIIII TAA CAG CTA AGG ACT GCA AAA T0.294
non-G2G2-5601CTAA CAG CTA AGG ACT GCA AAA C0.290
G2-5601RCCC ATT GGT CTA GTA AGG GC0.2
G1G1-15323AIII AAT AGG AGG TGG AGT GCT GT0.284
non-G1G1-15323GATA GGA GGT GGA GTG CTG C0.280
G1-15323FTCC CAC CCT CAC ACG ATT CT0.2
G3G3 -16274AIII GGG TGG GTA GGT TTG TTG RTA TT0.174
non-G3G3 -16274GGGT GGG TAG GTT TGT TGR TAT C0.270
G3 -16274FAAC TAT CAC ACA TCA ACT GCA ACT0.2
G1aG1a-7867TIII GGC CAA TTG ATT TGA TGG TAA GA0.264
non-G1aG1a-7867CGCC AAT TGA TTT GAT GGT AAG G0.260
G1a-7867FCGC ATC CTT TAC ATA ACA GAC G0.2
non-G1bG1b-12361AII TAA CCA TGC ACA CTA CTA TAA CCA0.254
G1bG1b-12361GACC ATG CAC ACT ACT ATA ACC G0.250
G1b-12361RGGG GGA ATT AGG GAA GTC AG0.2
Multiplex M-V
HaplogroupPrimer nameSequenceConcentration (μM)Amplicon length (bp)
non-M7b1aM7b1a -6680TIII GGT TCT TTT TTT CCG GAG TAG TAA0.1104
M7b1aM7b1a -6680CGTT CTT TTT TTC CGG AGT AGT AG0.2100
M7b1a -6680FCTA TTC TGA TTT TTC GGT CAC CC0.2
non- M7b1a1a1M7b1a1a1-10345TIII CAG ACT TAG GGC TAG GAT GA0.194
M7b1a1a1M7b1a1a1-10345CAGA CTT AGG GCT AGG ATG G0.290
M7b1a1a1-10345FTTT ACC CCT ACC ATG AGC CC0.2
non-M7c1M7c1-5442TIII TGA ACA TAC AAA ACC CAC CCC AT0.184
M7c1M7c1-5442CGAA CAT ACA AAA CCC ACC CCA C0.280
M7c-5442RAGT ATA AAA GGG GAG ATA GGT AGG0.2
M7aM7a-2772TIIII GCA AAC AGT ACC TAA CAA ACC T0.174
non-M7aM7a-2772CGCA AAC AGT ACC TAA CAA ACC C0.270
M7a-2772RTCG CCC CAA CCG AAA TTT TTA AT0.2
M7a1M7a1-14364AIII CAT CAT ACT CTT TCA CCC ACA A0.264
non-M7a1M7a1-14364GATC ATA CTC TTT CAC CCA CAG0.260
M7a1-14364RAGT GTT TTA GTG GGG TTA GCG0.2
M7a2M7a2-15422GIIII CCG AGG GCG TCT TTG AC0.154
non-M7a2M7a2-15422AI CCG AGG GCG TCT TTG AT0.250
M7a2-15422FCCG ATA AAA TCA CCT TCC ACC C0.1
Multiplex M-VI
HaplogroupPrimer nameSequenceConcentration (μM)Amplicon length (bp)
M8aM8a-6179AI TAA TAA TCG GTG CCC CCG ATA TA0.1104
non-M8aM8a-6179GTAA TCG GTG CCC CCG ATA TG0.2100
M8a-6179RTCC ACT ATA GCA GAT GCG AGC0.2
non-CC-3552TIII ACC TTA GCT CTC ACC ATC GCT0.194
CC-3552ACCT TAG CTC TCA CCA TCG CA0.290
C-3552RGAA TAA ATA GGA GGC CTA GGT TGA0.2
non-ZZ-9090TIII AAT ATC AAC CAT TAA CCT TCC CTC T0.284
ZZ-9090CATA TCA ACC ATT AAC CTT CCC TCC0.280
Z-9090RGCG ACA GCG ATT TCT AGG ATA G0.2
non-C5C5-W/O 595.1CIII ACA GTT TAT GTA GCT TAC CTC CT0.174
C5C5-595.1CCAG TTT ATG TAG CTT ACC TCC C0.270
C5-595.1C-RATG GGG TGA TGT GAG CCC0.2
Z1aZ1a-10325AIII AAC TAA CCT GCC ACT AAT AGT TAT A0.264
non-Z1aZ1a-10325GACT AAC CTG CCA CTA ATA GTT ATG0.260
Z1a-10325RACT TAG GGC TAG GAT GAT GAT TAA TAA0.2
C1 or non-C1290-291d-FAGC CGC TTT CCA CAC AGA CA0.252 (non-C1) 50 (C1)
290-291d-RAGG GGG GGT TTG GTG GAA ATT0.2
Multiplex M-VII
HaplogroupPrimer nameSequenceConcentration (μM)Amplicon length (bp)
non-D4aD4a-14979TIII GCG TGA AGG TAG CGG ATG A0.1104
D4aD4a-14979CCGT GAA GGT AGC GGA TGG0.2100
D4a-14979FCTA GCC ATG CAC TAC TCA CC0.2
D4bD4b-8020AII TTA TAC GAA TGG GGG CTT CAA TT0.194
non-D4bD4b-8020GATA CGA ATG GGG GCT TCA ATC0.290
D4b-8020FACT TCC CCC ATT ATT CCT AGA AC0.2
D4eD4e-11215TIIII CAG GCA CAT ACT TCC TAT TCT AT0.184
non-D4eD4e-11215CCAG GCA CAT ACT TCC TAT TCT AC0.280
D4e-11215RTAG GGT GTT GTG AGT GTA AAT TAG0.2
non-D4gD4g-13104AIII CAA GCA CTA TAG TTG TAG CAG GA0.274
D4gD4g-13104GAAG CAC TAT AGT TGT AGC AGG G0.270
D4g-13104RTAG TGG GCT ATT TTC TGC TAG G0.2
D4oD4o-10646AIII CAC TCC CTC TTA GCC AAT ATT GTA0.264
non-D4oD4o-10646GACT CCC TCT TAG CCA ATA TTG TG0.260
D4o-10646RCTG CTT CGC AGG CGG CAA A0.2
non-D4hD4h-3336TIIII CCA ACC TCC TAC TCC TCA TT0.154
D4hD4h-3336CCCA ACC TCC TAC TCC TCA TC0.250
D4h-3336RTAG GAA TGC CAT TGC GAT TAG AAT0.2
Multiplex M-VIII
HaplogroupPrimer nameSequenceConcentration (μM)Amplicon length (bp)
non-D4a3D4a3-5466AIII ATA GGT AGG AGT AGC GTG GT0.1104
D4a3D4a3-5466GTAG GTA GGA GTA GCG TGG C0.2100
D4a3-5466FCCC ATA TCT AAC AAC GTA AAA ATA AAA TG0.2
non-D4a1D4a1-10410TIII GAT TAG ACT GAG CTG AAT TGG TAT0.294
D4a1D4a1-10410CATT AGA CTG AGC TGA ATT GGT AC0.290
D4a1-10410RAGG GGC ATT TGG TAA ATA TGA TTA TC0.2
non-D4b1D4b1-15951AIII AGA TGA AAA CCT TTT TCC AAG GA0.284
D4b1D4b1-15951GGAT GAA AAC CTT TTT CCA AGG G0.180
D4b1-15951RAAT TAG AAT CTT AGC TTT GGG TGC T0.2
non-D4b2D4b2-1382AIII GGC TAC ATT TTC TAC CCC AGA A0.274
D4b2D4b2-1382CGCT ACA TTT TCT ACC CCA GAC0.270
D4b2-1382RCTG CTA AAT CCA CCT TCG ACC0.2
D4h4D4h4-15022TIII CAA TGG CGC CTC AAT ATT CTT TAT T0.264
non-D4h4D4h4-15022CAAT GGC GCC TCA ATA TTC TTT ATC0.260
D4h4-15022RGTA ATA TAG GCC TCG CCC GA0.2
non-D4h2D4h2-15236AII TAC TGA GTA GCC TCC TCA GAT0.154
D4h2D4h2-15236GCTG AGT AGC CTC CTC AGA C0.250
D4h2-15236FCCC ATA CAT TGG GAC AGA CC0.2

The letter ‘I’ stands for inosine. Underlined letters indicate non-complementary bases. SNP sites are indicated in bold italics. Haplogroup C1 is detected by the 2-bp deletion at positions 290–291.

Table 2

Primers of multiplexes N-I to N-VI used for haplogrouping mtDNAs that stem from macro-haplogroup N.

Multiplex N-I
HaplogroupPrimer nameSequenceConcentration (μM)Amplicon length (bp)
B or non-B9 bp-FTGC CCA TCG TCC TAG AAT TAA TTC0.2110 (non-B) 101 (B)
9 bp-RGCT AAG TTA GCT TTA CAG TGG GC0.2
NN-10873TIII AGC CTA ATT ATT AGC ATC ATC CCT0.294
non-NN-10873CGCC TAA TTA TTA GCA TCA TCC CC0.290
N-10873RGGG GGT CGG AGG AAA AGG T0.2
non-RR-12705TIIII GGT AAC TAA GAT TAG TAT GGT AAT TAG GAA A0.284
RR-12705CGGT AAC TAA GAT TAG TAT GGT AAT TAG GAA G0.280
R-12705FATA TAA ACT CAG ACC CAA ACA TTA ATC AGT0.2
non-FF-6392TIII CTC TAT CTT AGG GGC CAT CAA T0.174
FF-6392CTCT ATC TTA GGG GCC ATC AAC0.270
F-6392RGGT ATT GGG TTA TGG CAG GG0.2
non-N9N9-5417GIIIII CAT ATC TAA CAA CGT AAA AAT AAA ATG ACA G0.264
N9N9-5417ACCA TAT CTA ACA ACG TAA AAA TAA AAT GAC AA0.260
N9-5417RGGA ATG GGG TGG GTT TTG TAT G0.2
non-AA-4248TIIII ACC CAT TAC AAT CTC CAG CAT T0.254
AA-4248CACC CAT TAC AAT CTC CAG CAT C0.250
A-4248RTCA GAC ATA TTT CTT AGG TTT GAG G0.2
Multiplex N-II
HaplogroupPrimer nameSequenceConcentration (μM)Amplicon length (bp)
non-II-10034TII TAC CGT TAA CTT CCA ATT AAC TAG T0.2104
II-10034CCCG TTA ACT TCC AAT TAA CTA GC0.2100
I-10034RATT AGT AGT AAG GCT AGG AGG GT0.2
WW-15884CIII ATT AGT TTA TAC TAC AAG GAC AGG G0.294
non-WW-15884GTTA GTT TAT ACT ACA AGG ACA GGC0.290
W-15884FTAC TTC ACA ACA ATC CTA ATC CTA ATA0.2
XX-6371TIII TTA CAC CTA GCA GGT GTC TCT0.1884
non-XX-6371CTAC ACC TAG CAG GTG TCT CC0.280
X-6371RTAT GGC AGG GGG TTT TAT ATT GAT0.2
non-L3L3-1018AII ATA TGT TAA AGC CAC TTT CGT AGT T0.174
L3L3-1018GATG TTA AAG CCA CTT TCG TAG TC0.270
L3-1018FAGC TAA AAC TCA CCT GAG TTG TAA0.2
Y2Y2-7859AII TAC ATA ACA GAC GAG GTC AAC A0.164
non-Y2Y2-7859GCAT AAC AGA CGA GGT CAA CG0.260
Y2-7859RTAC CAT TGG TGG CCA ATT GAT TTG0.2
N9aN9a-12358GIIII GAA GTT AGG GTT AGG GTG GC0.254
non-N9aN9a-12358AGAA GTC AGG GTT AGG GTG GT0.250
N9a-12358FATA AAA GTA ATA ACC ATG CAC ACT ACT AT0.2
Multiplex N-III
HaplogroupPrimer nameSequenceConcentration (μM)Amplicon length (bp)
YY-14178CIIIII CCG AGC AAT CTC AAT TAC AAC0.2104
non-YY-14178TCCC GAG CAA TCT CAA TTA CAA T0.2100
Y-14178RATT GGT GCG GGG GCT TTG TAT0.2
Y1Y1-3834AIII AGA ACA CCT CTG ATT ACT CCT A0.294
non-Y1Y1-3834GGAA CAC CTC TGA TTA CTC CTG0.290
Y1-3834RGTC GAA GGG GGT TCG GTT0.2
non-N9bN9b -13183AIII ACA CTA TGC TTA GGC GCT A0.184
N9bN9b -13183GCAC TAT GCT TAG GCG CTG0.280
N9b -13183RGGC TAC GAT TTT TTT GAT GTC ATT TT0.2
N9b2N9b2-16294TIIII ATA CCA ACA AAC CTA CCC AT0.274
non-N9b2N9b2-16294CATA CCA ACA AAC CTA CCC AC0.270
N9b2-16294RGTA ATG TGC TAT GTA CGG TAA ATG0.2
N9b3N9b3-14996AII TGA ATC ATC CGC TAC CTT CAC A0.164
non-N9b3N9b3-14996GAAT CAT CCG CTA CCT TCA CG0.260
N9b3-14996RTGT AGG AAG AGG CAG ATA AAG AAT A0.2
N9b1N9b1-12501AIII CTC TTC CCC ACA ACA ATA TTC ATA0.154
non-N9b1N9b1-12501GTCT TCC CCA CAA CAA TAT TCA TG0.250
N9b1-12501RCGA GAT AAT AAC TTC TTG GTC TAG G0.2
Multiplex N-IV
HaplogroupPrimer nameSequenceConcentration (μM)Amplicon length (bp)
non-R0R0-11719AII ATT CTC ATA ATC GCC CAC GGA0.2104
R0R0-11719GTCT CAT AAT CGC CCA CGG G0.2100
R0-11719RTCC TTG AGA GAG GAT TAT GAT GC0.2
non-HVHV-14766TIIII CAA TGA CCC CAA TAC GCA AAA T0.294
HVHV-14766CCAA TGA CCC CAA TAC GCA AAA C0.290
HV-14766RATG CGG AGA TGT TGG ATG GG0.2
UU-12372AIII CTA CTA TAA CCA CCC TAA CCC TA0.184
non-UU-12372GTAC TAT AAC CAC CCT AAC CCT G0.280
U-12372RATG AGT TTT TTT TGT TAG GGT TAA CGA0.2
JTJT-15452AIIII CCT CGG CTT ACT TCT CTT CA0.274
non-JTJT-15452CCCT CGG CTT ACT TCT CTT CC0.270
JT-15452RGTC GCC TAG GAG GTC TGG0.2
R9R9-13928CIIII ACA TAC TCG GAT TCT ACC CTA C0.264
non-R9R9-13928GACA TAC TCG GAT TCT ACC CTA G0.260
R9-13928RTAA GAA GGC CTA GAT AGG GGA T0.2
non-P/TP/T-15607AIII TCC GAT CCG TCC CTA ACA AA0.154
P/TP/T-15607GCCG ATC CGT CCC TAA CAA G0.250
P/T-15607RTGG ATA GTA ATA GGG CAA GGA C0.2
Multiplex N-V
HaplogroupPrimer nameSequenceConcentration (μM)Amplicon length (bp)
B5B5-8584AIII GGG AAA TAG AAT GAT CAG TAC TGT0.1104
non-B5B5-8584GGGA AAT AGA ATG ATC AGT ACT GC0.2100
B5-8584FAAC AAA CCC TGA GAA CCA AAA TGA0.2
non-B4cB4c-1119TIII AGC CCT AAA CCT CAA CAG TTA AAT0.194
B4cB4c-1119CGCC CTA AAC CTC AAC AGT TAA AC0.290
B4c-1119RTGA AGC ACC GCC AGG TCC0.2
B4aB4a-9123AIII CGA CAG CGA TTT CTA GGA TAG TT0.284
non-B4aB4a-9123GGAC AGC GAT TTC TAG GAT AGT C0.280
B4a-9123FCAA TAT CAA CCA TTA ACC TTC CCT0.2
B4bB4b-13590AIII CGA GTG CTA TAG GCG CTT GTT0.174
non-B4bB4b-13590GGAG TGC TAT AGG CGC TTG TC0.270
B4b-13590FGGA GTC CTA GGC ACA GCT0.2
B2B2-6473TII TA GGA GAA GTA GGA CTG CTG TA0.264
non-B2B2-6473CGGA GAA GTA GGA CTG CTG TG0.260
B2-6473FCCC AAT ACC AAA CGC CCC T0.2
non-B4B4-16217TIII GAT GTG TGA TAG TTG AGG GTT GA0.254
B4B4-16217CATG TGT GAT AGT TGA GGG TTG G0.250
B4-16217FCCC CCA TGC TTA CAA GCA AG0.2
Multiplex N-VI
HaplogroupPrimer nameSequenceConcentration (μM)Amplicon length (bp)
non-F1F1-10609TIII GGA GTG GGT GTT GAG GGT TA0.1104
F1F1-10609CGAG TGG GTG TTG AGG GTT G0.2100
F1-10609FTAG TAT ATC GCT CAC ACC TCA TAT C0.2
non-F2F2-1824TIIII GTA TAG GGG TTA GTC CTT GCT A0.294
F2F2-1824CGTA TAG GGG TTA GTC CTT GCT G0.290
F2-1824FAAT TGA AAC CTG GCG CAA TAG ATA TAG0.2
non-F4F4-15670TII TAG CAA TAA TCC CCA TCC TCC AT0.284
F4F4-15670CGCA ATA ATC CCC ATC CTC CAC0.280
F4-15670RAGG AGT CAA TAA AGT GAT TGG CTT A0.2
F3F3-10320AIII CAA ACA ACT AAC CTG CCA CTA ATA A0.274
non-F3F3-10320GAAA CAA CTA ACC TGC CAC TAA TAG0.270
F3-10320RGCC AGA CTT AGG GCT AGG AT0.2
F1aF1a-4086TIII GTC AGA AGT AGG GTC TTG GTA0.164
non-F1aF1a-4086CTCA GAA GTA GGG TCT TGG TG0.260
F1a-4086FATG ACG CAC TCT CCC CTG A0.2
F1bF1b-10976TIIII GCC ATG ATT GTG AGG GGT AA0.254
non-F1bF1b-10976CGCC ATG ATT GTG AGG GGT AG0.250
F1b-10976FACC CCC CTC CTA ATA CTA ACT ACC0.2

The letter ‘I’ stands for inosine. Underlined letters indicate non-complementary bases. SNP sites are indicated in bold italics. Haplogroup B is detected by the 9-bp deletion at positions 8281 to 8289.

Phylogenetically important mutations were examined using fourteen 6-plex PCR sets (Table 1 and Fig 3; Table 2 and Fig 4). We recently developed novel APLP primers with a short inosine extension added to the 5′-terminus. This modification improves the competitiveness of allele-specific primers to the template DNA, resulting in enhanced reliability of the analysis of SNPs [28]. In the present study, we designed the primers based on this inosine-flapped APLP method. Moreover, to maximize the robustness of the PCR, we used amplicons with a length of <110 bp, which is shorter than the amplicon length used in the conventional system (<151 bp) [9]; we also examined fewer polymorphic sites in each set (6 sites, compared to 9 in the conventional system) [9]. The letter ‘I’ stands for inosine. Underlined letters indicate non-complementary bases. SNP sites are indicated in bold italics. Haplogroup C1 is detected by the 2-bp deletion at positions 290–291. The letter ‘I’ stands for inosine. Underlined letters indicate non-complementary bases. SNP sites are indicated in bold italics. Haplogroup B is detected by the 9-bp deletion at positions 8281 to 8289.

Electrophoretogram of PCR products from multiplexes M-I to M-VIII.

The primer sets of multiplexes M-I to M-VIII are shown in Table 2. Yellow, light blue, light green, red, green, purple, orange, and blue frames indicate multiplexes M-I, II, III, IV, V, VI, VII, and VIII, respectively. This color coding corresponds to that given in Fig 2. LM indicates the 10-bp ladder marker.

Electrophoretogram of PCR products from multiplexes N-I to N-VI.

The primer sets of multiplexes N-I to N-VI are shown in Table 2.Yellow, light blue, light green, red, green, and purple frames indicate multiplexes N-I, II, III, IV, V, and VI, respectively. The color coding corresponds to that given in Fig 2. LM indicates the 10-bp ladder marker. First of all, reactions using primers of multiplexes M-I and N-I were performed for all samples, because most East-Asian mtDNAs stem from macro-haplogroups M and N, and these multiplexes can identify major branches of macro-haplogroups M and N that are widely observed in East-Asian populations. Following SNP typing using multiplexes M-I and N-I, each mtDNA under study was classified on the basis of the criteria shown in Fig 2, by using the mtDNA haplogroup nomenclature from Phylotree [19]. Thereafter, each mtDNA underwent subsequent haplogrouping based on the result of multiplexes M-I and N-I. For example, if an mtDNA was designated to haplogroup B, further haplogrouping of this mtDNA was performed using multiplex N-V. If the SNPs observed in a sample did not represent a haplogroup motif, i.e., they were apparently incongruent with Phylotree, the data was discarded because, as we reported previously [29], such incongruence often stems from contamination of the sample.

PCR conditions and detection of PCR products

The formula of the amplification reaction and the PCR condition were the same for all multiplexes; only the primers differed. Each reaction was performed in a total volume of 10 μl, containing a 1 μl aliquot of the sample DNA solution, optimum concentrations of each primer (Tables 1 and 2), and reagents of the QIAGEN multiplex PCR kit (QIAGEN, Hilden, Germany). The amplification reaction was conducted in a TaKaRa PCR Thermal Cycler FAST (TaKaRa, Shiga, Japan). The condition for PCR included: incubation at 95°C for 15 minutes; 5 cycles at 94°C for 30 seconds, and at 64°C for 5 minutes (ramp speed > 2.5°C/sec); 33 cycles at 94°C for 30 seconds, and at 64°C for 90 seconds (ramp speed > 2.5°C/sec); and a final extension at 72°C for 3 minutes. A 2 μl aliquot of the PCR product was separated by electrophoresis in a precast native polyacrylamide gel (10% T, 5% C) containing 1 × TBE buffer with running buffer (1 × TBE) (TEFCO, Tokyo, Japan) using an electrophoretic apparatus STC-808 (TEFCO). The voltage at electrophoresis was 150 V (constant voltage), and the electrophoretic time was approximately 98 minutes. PCR bands were visualized fluorographically after staining with SYBR Green (Bio-Rad Laboratories, Hercules, CA, USA).

Testing the sensitivity of the new APLP system

To evaluate the sensitivity of our new APLP system, various amounts of crude DNA (1.0 × 10−9–0.1 × 10−15 g), which included genomic DNA and mtDNA with known haplogroups (D4j and F2), were examined using multiplexes M-I and M-III for D4j mtDNA, and multiplexes N-I and N-VI for F2 mtDNA (Table 1 and Fig 3; Table 2 and Fig 4). The results of the experiments were confirmed by three independent assays. To detect the possibility of contamination, negative PCR controls were also analyzed.

Application to highly degraded samples

To validate the effectiveness of our new APLP system for highly degraded samples, we analyzed one early Kofun (approximately 1,600 years old) and 11 Middle Jomon (approximately 4,000 years old) skeletons. At first, the ancient DNAs were examined by using multiplexes M-I and N-I. Thereafter, the samples underwent subsequent haplogrouping using multiplexes M-V and N-III. The results of the experiments were confirmed by three independent assays. Before performing the analysis using our new APLP system, we checked the quality of the ancient DNA samples by using a conventional APLP system [9]; we also checked the direct sequencing of the hypervariable segment I (15999–16366) using our mini-primer sets [29], for which the amplicon length is shorter than 139 bp. The results of the preliminary analyses revealed that 3 out of 12 samples could be assigned to relevant haplogroups using the conventional APLP system: sample B192 assigned to haplogroup N9b, sample B516C to haplogroup M7a, and sample B516D to haplogroup M7a; only one sample (B192), which is ascribed to the early Kofun period, could be analyzed by direct sequencing (mutations identified at the nucleotide positions 15999–16366: A16183C-T16189C-C16223T, relative to rCRS [18]). Along with the ancient samples, negative extraction and negative PCR controls were also analyzed.

Results

Hierarchical analysis of mtSNPs

As shown in Figs 3 and 4, our new APLP system correctly identified the genealogy of the mtDNAs for which the haplogroups had been determined in advance.

Sensitivity of the new APLP system

Although the copy number of mtDNA exhibits some variation among individuals, the detection limit was 1.0 × 10−13 g of crude DNA for multiplexes M-I, M-III, and N-I, and 1.0 × 10−14 g for multiplex N-VI. Consequently, our new APLP system correctly identified haplogroups D4j and F2 from 1.0 × 10−13 g (100 fg) of crude DNA templates, which corresponds to less than 10 copy numbers of mtDNA (Fig 5). In the analysis of these samples, negative PCR controls were negative throughout the experiment.
Fig 5

Sensitivity test using progressively diluted crude DNA with known mtDNA haplogroups.

Samples 1 and 2 correspond to mtDNA haplogroups D4j and F2, respectively. Results obtained using multiplexes M-I and N-I are framed in yellow, while results obtained using multiplexes M-III and N-VI are framed in light green and purple, respectively. Dotted lines indicate detection limits. NC indicates negative PCR control. LM indicates the 10-bp ladder marker.

Sensitivity test using progressively diluted crude DNA with known mtDNA haplogroups.

Samples 1 and 2 correspond to mtDNA haplogroups D4j and F2, respectively. Results obtained using multiplexes M-I and N-I are framed in yellow, while results obtained using multiplexes M-III and N-VI are framed in light green and purple, respectively. Dotted lines indicate detection limits. NC indicates negative PCR control. LM indicates the 10-bp ladder marker.

Robustness of the new APLP system with respect to highly degraded mtDNA

By using our new APLP system, 10 out of 12 mtDNAs from the ancient skeletons were successfully assigned to relevant haplogroups (Fig 6). In the analysis of the ancient skeletons, negative extraction and negative PCR controls were negative throughout the experiment (data not shown).
Fig 6

Electrophoretograms of the multiplex PCR products for mtDNA of ancient skeletons.

Each lane gives results for a single sample: lane LM, 10-bp ladder marker; lane 1, B516C; lane 2, B516D; lane 3, B202C; lane 4, B228D; lane 5, B192; lane 6, B202A; lane 7, B202B; lane 8, B509A; lane 9, B516A; lane 10, B228C; lane 11, B511; lane 12, B585. Using the conventional APLP system, 3 out of 12 samples could be assigned to relevant haplogroups (B192 to N9b, B516C to M7a, and B516D to M7a). Arrows indicate subsequent haplogrouping flows based on the results obtained using multiplexes M-I and N-I. Yellow frames identify results obtained using multiplexes M-I and N-I, while results obtained using mutiplexes M-V and N-III are framed in green and light green, respectively (color coding corresponds to that given in Fig 2).

Electrophoretograms of the multiplex PCR products for mtDNA of ancient skeletons.

Each lane gives results for a single sample: lane LM, 10-bp ladder marker; lane 1, B516C; lane 2, B516D; lane 3, B202C; lane 4, B228D; lane 5, B192; lane 6, B202A; lane 7, B202B; lane 8, B509A; lane 9, B516A; lane 10, B228C; lane 11, B511; lane 12, B585. Using the conventional APLP system, 3 out of 12 samples could be assigned to relevant haplogroups (B192 to N9b, B516C to M7a, and B516D to M7a). Arrows indicate subsequent haplogrouping flows based on the results obtained using multiplexes M-I and N-I. Yellow frames identify results obtained using multiplexes M-I and N-I, while results obtained using mutiplexes M-V and N-III are framed in green and light green, respectively (color coding corresponds to that given in Fig 2).

Discussion

The results showed that, following a hierarchical analysis of 81 haplogroup-defining mtSNPs and 3 insertion/deletion sites performed using fourteen 6-plex multiplexes and subsequent electrophoresis, our new APLP system correctly identified the genealogy of the mtDNAs with known haplogroups. Previously, 15 to 36 mtSNPs and insertion/deletion polymorphisms were examined in East-Asian mtDNA by using conventional means such as SNaPshort minisequencing assays [2, 6, 7] or APLP [5, 9]. However, the number of mtSNPs examined in these previous studies is too small for detailed haplogrouping of East-Asian mtDNAs. In particular, haplogroup D, which is the predominant haplogroup in many East-Asian populations, was not sufficiently classified in the previously reported assays. By using our new APLP system, many major mtDNA lineages including haplogroup D can be securely classified to the sub-haplogroup level. Moreover, using our new APLP system, hierarchical examination of many mtSNPs can help identify contamination or misinterpretation of the results on the basis of congruence with Phylotree, the updated comprehensive phylogenetic tree of global human mitochondrial DNA variation. Therefore, as we reported previously [29], our new APLP system can improve the reliability of sequencing and SNP analysis of mtDNA. The recent advent of high throughput sequencing (HTS) technology based on so-called Next Generation Sequencers has allowed analyses of the complete mitochondrial and chromosomal genome sequences even in very degraded samples like those from archaeological skeletons [30, 31]. However, HTS is very costly, and thus it is difficult for most laboratories to perform such analyses routinely. Therefore, to maximize the success rate of HTS, it is important to evaluate the quality and quantity of DNA in the samples before subjecting them to HTS. Our new APLP system correctly identified the haplogroup of mtDNAs in only 100 fg (1.0 × 10−13 g) of crude DNA. This sensitivity is over 10 times higher than that reported in previous studies, where quantities of crude DNA in the order of at least pico (1.0 × 10−12) grams were required for accurate genotyping [3, 5–7]. This extremely high sensitivity may be ascribable to the reduced number of SNP sites analyzed in each multiplex in our system compared to that analyzed in other systems. Our new APLP system is thus expected to serve as a time- and cost-efficient tool to evaluate the quality and quantity of DNA in samples before HTS analysis. In the present study, we show how an inosine-flapped APLP system can be efficiently applied for the hierarchical multiplex analysis of mtSNPs. Adding a short inosine extension to the 5'-terminus of APLP primers improves the competitiveness of allele-specific primers to the template DNA, resulting in enhanced reliability of the SNP analysis [28]. Furthermore, the thermodynamics of the primers with inosine flaps have been proven to be less influenced by the sequence of PCR templates than the thermodynamics of the primers with 5' flaps containing ordinary bases [28]. These features of inosine-flapped primers are likely to have contributed to the high sensitivity observed for our new APLP system. The robustness of our APLP system was verified by the analysis of 12 archaeological skeletons; only 3 such samples could be successfully assigned to relevant haplogroups using the conventional APLP system, whereas a total of 10 samples were successfully assigned using our new APLP system. Our inosine-flapped APLP primers generated shorter amplicons (<110 bp) compared to those generated by conventional APLP primers (<151 bp), and we believe it is the shorter amplicon length that is the source for the higher success rate observed for our new APLP system. The haplogroups observed in the samples excavated from the Kusakari shell midden site were N9b and M7a. These haplogroups are observed in the Jomon people unearthed from Hokkaido, the northern island of Japan. Notably, haplogroup N9b is the most predominant haplogroup in these Hokkaido Jomon people (64.8%, 35 out of 54 individuals) [13]. The fact that these haplogroups are also observed in the Kusakari Jomon people, who were excavated from Honshu, the main island of Japan, indicates that these haplogroups are strong candidates for the so-called “Jomon genotype” as suggested by the previous studies [9, 12, 13]. Moreover, the fact that haplogroup N9b is observed in the Kofun sample (B192), excavated from the same site, may hint at genetic continuity in this site extending from the Jomon era to the Kofun era. In addition, at the sub-haplogroup level, one Kusakari Jomon sample (B516C) was assigned to M7a1, which was not observed in the Hokkaido Jomon people [13]. Intriguingly, this sub-haplogroup is the most predominant one found in modern-day Japanese and Korean M7a mtDNAs [22, 32, 33]. It has its highest frequency (44 out of 156 individuals) in Okinawa islanders living in the southern-most islands of Japan [32]. However, haplogroup M7a is rare in Southeast Asian populations, whereas the frequencies of its sister haplogroups (e.g., M7b and M7c) are relatively high in these populations [24, 27, 34]. We have previously hypothesized that haplogroup M7a may have diversified from its ancestral M7 haplogroup in the southern part of the Japanese archipelago [13]. Given the findings here, the fact that haplogroup M7a1 is observed in Honshu Jomon people, but is absent in Hokkaido Jomon individuals, gives some support to this hypothesis. Unfortunately, we could not compare the robustness of our new system with that of SNaPshot analysis or HTS, mainly because of the residual volume of the samples. However, our system generates short amplicons similar to those reported in the study of Coutinho et al. [6], which focuses on the ancient DNA analysis of the skeletons excavated from South America. Therefore, our system is expected to be as effective as that of Coutinho et al. [6] for the analysis of fragmented mtDNA. As described earlier, in the case of extremely degraded samples like archaeological skeletons, it is often very difficult to obtain reliable mtDNA sequences. Despite such difficulties, it is worth trying to obtain as much mtDNA data as possible from those samples, because such data is important for phylogeographic analysis, and, in some cases, personal identification. Therefore, our new APLP system is expected to be very useful in analyzing extremely difficult forensic samples, as well as for molecular anthropological studies of ancient populations.
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