Scientia Silvae Sinicae ›› 2022, Vol. 58 ›› Issue (6): 66-78.doi: 10.11707/j.1001-7488.20220607
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Xinyu Li1,Minqiu Wang1,Meiling Yuan1,Ueno Saneyoshi2,Xingtong Wu1,Mengying Cai1,3,Tsumura Yoshihiko3,Yafeng Wen1,*
Received:
2021-07-17
Online:
2022-06-25
Published:
2022-09-24
Contact:
Yafeng Wen
CLC Number:
Xinyu Li,Minqiu Wang,Meiling Yuan,Ueno Saneyoshi,Xingtong Wu,Mengying Cai,Tsumura Yoshihiko,Yafeng Wen. Genetic Differentiation and Demographic History of Cryptomeria, A Relict Plant, in East Asia[J]. Scientia Silvae Sinicae, 2022, 58(6): 66-78.
Table 1
Locality information and sample size of Cryptomeria populations"
编号 NO. | 组群 Group | 种群 Population | 谱系 Lineage | 样本数量 Sample size | 样本来源 Location | 纬度 Latitude(N) | 经度 Longitude(E) | 海拔 Elevation/m |
1 | 柳杉 Cryptomeria japonica var. sinensis (CHN) | 黄山 Huangshan (WT) | CHS | 17 | 安徽黄山 Anhui Huangshan | 29.462 1° | 118.266 9° | 436 |
2 | 天目山 Tianmushan (XTM) | CHS | 23 | 浙江临安 Zhejiang Lin’an | 30.338 1° | 119.435 8° | 1 089 | |
3 | 天台山 Tiantaishan (TT) | CHS | 24 | 浙江天台 Zhejiang Tiantai | 29.2 495° | 121.0 948° | 897 | |
4 | 屏南 Pingnan (PNSL) | CHS | 23 | 福建屏南 Fujian Pingnan | 27.003 9° | 118.871 8° | 1 254 | |
5 | 福州 Fuzhou (FZ) | CHS | 21 | 福建福州 Fujian Fuzhou | 26.090 3° | 119.396 9° | 731 | |
6 | 天宝岩高海拔 Tianbaoyan high altitude (TB) | CHS | 10 | 福建永安 Fujian Yong’an | 25.918 3° | 117.557 5° | 1 500 | |
7 | 天宝岩 Tianbaoyan (TBY) | CHS | 20 | 福建永安 Fujian Yong’an | 25.965 6° | 117.512 3° | 1 132 | |
8 | 南平 Nanping (YTG) | CHS | 8 | 福建南平 Fujian Nanping | 26.738 4° | 118.146 8° | 846 | |
9 | 武夷山 Wuyishan (WYS) | CHS | 20 | 福建武夷山 Fujian Wuyishan | 27.759 8° | 117.693 6° | 892 | |
10 | 庐山 Lushan (LS) | LS | 23 | 江西庐山 Jiangxi Lushan | 29.549 7° | 115.966 8° | 895 | |
1 | 日本柳杉 Cryptomeria japonica var. japonica (JAN) | 青森 Ajigasawa (AJG) | Ura-sugi | 17 | 日本青森县 Japan Aomori | 40.675 6° | 140.205 3° | 319 |
2 | 秋田 Nibetsu (NBT) | Ura-sugi | 16 | 日本秋田县 Japan Akita | 39.806 1° | 140.260 0° | 315 | |
3 | 新泻 Donden (DND) | Ura-sugi | 16 | 日本新泻县 Japan Niigata | 38.139 7° | 138.383 3° | 725 | |
4 | 富山 Bijodaira (BJD) | Ura-sugi | 16 | 日本富山县 Japan Toyama | 36.576 1° | 137.458 9° | 628 | |
5 | 京都 Ashu (ASH) | Ura-sugi | 18 | 日本京都府 Japan Tokyo | 35.307 8° | 135.773 9° | 802 | |
6 | 宫崎 Oninome (ONN) | Ura-sugi | 6 | 日本宫崎县 Japan Miyazaki | 32.698 4° | 131.518 2° | 1 170 | |
7 | 鹿儿岛 Yakushima (YKU) | Omote-sugi | 7 | 日本鹿儿岛县 Japan Kagoshima | 30.303 5° | 130.573 1° | 1 071 | |
8 | 宫城 Ishinomaki (ISN) | Omote-sugi | 13 | 日本宫城县 Japan Miyagi-ken | 38.328 6° | 141.491 9° | 195 |
Table 2
Genetic diversity parameters of 14 nSSR loci"
序号 NO. | 位点 Locus | 等位基因数 Number of allele (Na) | 总的遗传变异 Total genetic diversity for the species (Ht) | 种群内遗传多样性 Genetic diversity within populations (Hs) | 种群间遗传分化系数 Genetic differentiation coefficient (FST) | 标准遗传分化系数 Gene differentiation factor (GST) | 多态性信息 含量Polymorphism information content (PIC) | 位点来源 Locus source |
1 | CS1895M | 29 | 0.715 | 0.664 | 0.093 | 0.072 | 0.594 | |
2 | BY900902 | 7 | 0.636 | 0.592 | 0.063 | 0.069 | 0.516 | |
3 | Cjgssr31 | 33 | 0.919 | 0.857 | 0.071 | 0.067 | 0.798 | |
4 | BY894091 | 3 | 0.038 | 0.038 | 0.010 | 0.003 | 0.034 | |
5 | CS1737M | 2 | 0.499 | 0.449 | 0.096 | 0.100 | 0.337 | |
6 | Cjgssr175 | 20 | 0.644 | 0.493 | 0.231 | 0.235 | 0.417 | Moriguchi Y. et al., (2005) |
7 | Cjgssr7 | 22 | 0.774 | 0.672 | 0.150 | 0.132 | 0.588 | |
8 | BY896143 | 3 | 0.315 | 0.290 | 0.068 | 0.079 | 0.234 | |
9 | BY898881 | 11 | 0.693 | 0.624 | 0.095 | 0.099 | 0.547 | |
10 | Cjgssr120 | 26 | 0.604 | 0.482 | 0.201 | 0.202 | 0.441 | |
11 | Cjgssr181 | 31 | 0.635 | 0.560 | 0.103 | 0.118 | 0.481 | |
12 | BJ939490 | 5 | 0.313 | 0.281 | 0.123 | 0.102 | 0.236 | |
13 | CS1522M | 18 | 0.597 | 0.541 | 0.098 | 0.094 | 0.490 | |
14 | BY909057 | 9 | 0.597 | 0.562 | 0.060 | 0.058 | 0.458 | |
均值 | Mean | 15.643 | 0.570 | 0.508 | 0.112 | 0.109 | 0.441 |
Table 3
Genetic diversity parameters of the Cryptomeria populations"
种群 Population | 等位基因数 Number of alleles(Na) | 观测杂合度 Observed heterozygosity (Ho) | 期望杂合度 Expected heterozygosity (He) | 近交系数 Inbreeding coefficient (FIS) | 等位基因丰富度 Allelic richness (Ar) | 私有等位基因丰富度 Private alleles richness (PAr) |
黄山Huangshan (WT) | 3.357 | 0.303 | 0.412 | 0.294 | 2.636 | 0.148 |
天目山Tianmushan (XTM) | 4.000 | 0.508 | 0.491 | -0.012 | 2.826 | 0.125 |
天台山Tiantaishan (TT) | 4.643 | 0.464 | 0.511 | 0.113 | 3.083 | 0.209 |
屏南Pingnan (PNSL) | 4.143 | 0.493 | 0.502 | 0.041 | 3.111 | 0.125 |
福州Fuzhou (FZ) | 4.643 | 0.439 | 0.486 | 0.121 | 3.158 | 0.143 |
天宝岩高海拔Tianbaoyan high altitude (TB) | 2.714 | 0.293 | 0.360 | 0.236 | 2.453 | 0.144 |
天宝岩Tianbaoyan (TBY) | 5.143 | 0.461 | 0.512 | 0.125 | 3.360 | 0.233 |
南平Nanping (YTG) | 2.857 | 0.439 | 0.431 | 0.050 | 2.752 | 0.065 |
武夷山Wuyishan (WYS) | 4.929 | 0.446 | 0.499 | 0.131 | 3.409 | 0.202 |
庐山Lushan (LS) | 9.286 | 0.575 | 0.695 | 0.194 | 5.271 | 0.976 |
中国平均值CHN Mean | 4.571 | 0.442 | 0.490 | 0.123 | 3.206 | 0.240 |
青森Ajigasawa (AJG) | 4.500 | 0.471 | 0.454 | -0.006 | 3.216 | 0.089 |
秋田Nibetsu (NBT) | 4.643 | 0.477 | 0.493 | 0.064 | 3.364 | 0.072 |
新泻Donden (DND) | 4.929 | 0.463 | 0.448 | -0.002 | 3.239 | 0.200 |
富山Bijodaira (BJD) | 4.786 | 0.536 | 0.493 | -0.055 | 3.316 | 0.217 |
京都Ashu (ASH) | 5.714 | 0.477 | 0.492 | 0.060 | 3.535 | 0.293 |
宫崎Oninome (ONN) | 3.071 | 0.536 | 0.450 | -0.100 | 3.071 | 0.107 |
鹿儿岛Yakushima (YKU) | 4.357 | 0.611 | 0.528 | -0.080 | 4.073 | 0.684 |
宫城Ishinomaki (ISN) | 5.071 | 0.511 | 0.529 | 0.073 | 3.672 | 0.284 |
日本平均值JAN Mean | 4.634 | 0.510 | 0.486 | 0.009 | 3.436 | 0.243 |
总平均值Total Mean | 4.599 | 0.472 | 0.488 | 0.060 | 3.308 | 0.240 |
Table 4
Analysis of molecular variance (AMOVA) of Cryptomeria populations"
变异来源 Source of variation | 自由度 df | 方差总和 Sum of squares | 变异组分 Variance components | 变异百分比 Percentage of variation (%) | P |
组间 Among groups | 1 | 70.972 | 0.199 | 4.85 | < 0.001 |
种群间 Among populations | 16 | 246.363 | 0.361 | 8.78 | < 0.001 |
种群内 Within populations | 578 | 2 052.437 | 3.551 | 86.37 | < 0.001 |
总计 Total | 595 | 2 369.772 | 4.092 | 100.00 | - |
FST=0.136 Nm=1.588 |
Fig.2
Results of STRUCTURE analysis of the Cryptomeria populations a: Relationship between Delta K and K value; b: Relationship between Mean LnK and K value; c: Histogram of the STRUCTURE analysis for the model with K=2, K=3 and K=4;; CHS: the populations of Southeastern China; LS: the populations of Lushan China; Ura-sugi: the populations of the Japan Sea coast; Omote-sugi: the populations of the Pacific coast."
Fig.7
The scenarios of Cryptomeria populations based on Approximate Bayesian Computation (K = 4) CHS: the populations of Southeastern China; LS: the populations of Lushan China; Ura-sugi: the populations of the Japan Sea coast; Omote-sugi: the populations of the Pacific coast; t1, t2, t3: the generation of scenario; N1, N2, N3, N4, NA: the size of effective population."
Table 5
Median estimation of posterior distributions for each scenario based on DIY ABC (K = 4)"
事件1 Scenario 1 | 事件2 Scenario 2 | 事件3 Scenario 3 | 事件4 Scenario 4 | |
后验概率Posterior probability (PP) | 0.000 8 | 0.000 0 | 0.991 9 | 0.007 3 |
种群大小Effective population size (N1) | 4 490 | 6 930 | 3 820 | 4 690 |
种群大小Effective population size (N2) | 8 870 | 9 700 | 7 840 | 8 800 |
种群大小Effective population size (N3) | 2 600 | 5 550 | 4 850 | 4 740 |
种群大小Effective population size (N4) | 2 950 | 6 870 | 7 350 | 7 190 |
种群大小Effective population size (NA) | - | 22.5 | 44.6 | 42.3 |
代数Generation (t1) | 720 | 2 540 | 1 140 | 1 450 |
代数Generation (t2) | 559 | 1 840 | - | 1 360 |
代数Generation (t3) | 205 | 1 790 | - | - |
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