植物学报 ›› 2025, Vol. 60 ›› Issue (2): 218-234.DOI: 10.11983/CBB24098 cstr: 32102.14.CBB24098
杨志刚1,*,†(), 张鹏程1,†, 常海文1, 康立茹1, 左毅2, 向浩鑫2, 韩凤英1
收稿日期:
2024-06-28
接受日期:
2025-01-20
出版日期:
2025-03-10
发布日期:
2025-01-21
通讯作者:
杨志刚
作者简介:
第一联系人:†共同第一作者
基金资助:
Zhigang Yang1,*,†(), Pengcheng Zhang1,†, Haiwen Chang1, Liru Kang1, Yi Zuo2, Haoxin Xiang2, Fengying Han1
Received:
2024-06-28
Accepted:
2025-01-20
Online:
2025-03-10
Published:
2025-01-21
Contact:
Zhigang Yang
About author:
First author contact:†These authors contributed equally to this paper
摘要: 分析了146份辣椒(Capsicum spp.)种质资源的形态学性状, 同时利用简单重复序列(SSR)标记分析了其遗传多样性和群体遗传结构。形态学性状多样性分析结果表明, 质量性状和数量性状的变异系数分别为8.22%-267.58%与14.35%- 72.51%, Shannon多样性指数分别为0.04-1.91与1.58-2.02, 说明辣椒种质资源多样性丰富。利用SSR标记从22对引物中检测出102个等位基因, 平均每对引物检测出4.636个等位基因, 有效等位基因变异范围为1.191-5.311, Shannon多样性指数为0.345-2.056, 多态性信息含量(PIC)为0.153-0.795, 146份辣椒种质资源平均遗传距离为0.429。基于表型和分子标记的聚类分析分别将辣椒种质资源分为6类和7类, 但2种聚类结果相关性较弱(r=0.396 7)。群体遗传结构分析将辣椒种质遗传结构分为2组, 不同组之间界限明显。研究阐明了146份辣椒种质资源的遗传多样性和群体遗传结构, 为后续种质鉴定及新品种选育奠定了理论基础。
杨志刚, 张鹏程, 常海文, 康立茹, 左毅, 向浩鑫, 韩凤英. 基于形态学性状和SSR标记的辣椒种质资源遗传多样性分析(长英文摘要). 植物学报, 2025, 60(2): 218-234.
Zhigang Yang, Pengcheng Zhang, Haiwen Chang, Liru Kang, Yi Zuo, Haoxin Xiang, Fengying Han. Genetic Diversity Analysis of Pepper Germplasms Based on Morphological Traits and SSR Markers. Chinese Bulletin of Botany, 2025, 60(2): 218-234.
Primer number | Primer name | Fluorescence labeling | Forward primer (5′-3′) | Reverse primer (5′-3′) |
---|---|---|---|---|
SPE13293 | SPE13293_Es330 | 5′-ROX | GTAGCCATGGCAGAATTGGAAG | TTCAGCAGGTTCTGGTTCTGGT |
SPE13295 | SPE13295_Esl05 | 5′-HEX | CGCATCTACATCAAGAATCAACCA | GATGTAGAACAAGGAAGCAGGGG |
SPE13297 | SPE13297_Es363 | 5′-TAMRA | GAGGAATTTTGGAGCCACACAC | AGGTGAAATGGGCAGTGGTAGA |
SPE13299 | SPE13299_Epms-923 | 5′-FAM | CAAAACCAAATAGGTCCCCC | CGCGCAATAATTCAATATCG |
SPE13301 | SPE13301_Hpmsl-214 | 5′-TAMRA | TGCGAGTACCGAGTTCTTTCTAG | GGCAGTCCTGGGACAACTCG |
SPE13303 | SPE13303_Epms697 | 5′-ROX | ATGTCGCTCGCAATTTCACT | CGTAGGGAGGAGCGATAGAG |
SPE13305 | SPE13305_Es201 | 5′-TAMRA | CGGCCAAATTATTTTTCCCAGT | TTCCCATAGTTGAAGAGCCTGC |
SPE13307 | SPE13307_Es110 | 5′-HEX | TACGGTTCCTCATCCCAGAAGA | AGGATGACCAATGTTTTGCCTC |
SPE13309 | SPE13309_Es212 | 5′-TAMRA | CCCTTCCCTTTTCTCCCTTCTT | CCAGAAACAGCCATTGATGATG |
SPE13311 | SPE13311_Es120 | 5′-ROX | GCGGCCTTTTGATTCATACAAT | CGTTTTACTGCCCTATCTGCTTG |
SPE13313 | SPE13313_Es285 | 5′-HEX | GCACGAGGCAACAAAAGAGAAT | CGCTGAGCGAGACAGAGAGAG |
SPE13315 | SPE13315_Es292 | 5′-TAMRA | TCCCATTTCGCAAGAAAGAAAA | TCCGATACAGCTGCAGTAGAAAAA |
SPE13317 | SPE13317_Es297 | 5′-FAM | TCAGCGATTAAGAATGCGATTG | CCAAATTGCCCTCTCTCTTCCT |
SPE13319 | SPE13319_Es395 | 5′-ROX | TGTAATTAATTGAGGTGCGCGA | TCTCTGGTTGACAATTAGGCCC |
SPE13321 | SPE13321_Hpmsl-106 | 5′-FAM | TCCAAACTACAAGCCTGCCTAACC | TTTTGCATTATTGAGTCCCACAGC |
SPE13323 | SPE13323_Epms712 | 5′-FAM | CCACAAAGGGTTTAAGCAGC | AAGGCAGGAGCAGAGTTCAA |
SPE13325 | SPE13325_Es417 | 5′-TAMRA | AATGCGGAGGAAGAAGAGGAAG | TAGTCCTTATCACCGACACGGC |
SPE13327 | SPE13327_Es321 | 5′-HEX | ACGAGGTCCACTTCCCCATTAT | TTAGAGAAGGAATAACCGGCAGC |
SPE13329 | SPE13329_Esl67 | 5′-HEX | CGCGATTCGATTGCTAAATCTC | CTAATTTCCCAGTTGCGTCTGC |
SPE13331 | SPE13331_Es64 | 5′-HEX | TTCGGCTATTTGAACAGAAGCA | TGATCCCTTCTTGTTTGATTTTTG |
SPE13333 | SPE13333_Esl33 | 5′-ROX | TTTTGGGGTTCAATAAAGCTGTG | TTCAACAAGATCATCAATTCACCA |
SPE13335 | SPE13335_Hpmsl-5 | 5′-FAM | CCAAACGAACCGATGAACACTC | GACAATGTTGAAAAAGGTGGAAGAC |
表1 SSR引物信息
Table 1 SSR primer information
Primer number | Primer name | Fluorescence labeling | Forward primer (5′-3′) | Reverse primer (5′-3′) |
---|---|---|---|---|
SPE13293 | SPE13293_Es330 | 5′-ROX | GTAGCCATGGCAGAATTGGAAG | TTCAGCAGGTTCTGGTTCTGGT |
SPE13295 | SPE13295_Esl05 | 5′-HEX | CGCATCTACATCAAGAATCAACCA | GATGTAGAACAAGGAAGCAGGGG |
SPE13297 | SPE13297_Es363 | 5′-TAMRA | GAGGAATTTTGGAGCCACACAC | AGGTGAAATGGGCAGTGGTAGA |
SPE13299 | SPE13299_Epms-923 | 5′-FAM | CAAAACCAAATAGGTCCCCC | CGCGCAATAATTCAATATCG |
SPE13301 | SPE13301_Hpmsl-214 | 5′-TAMRA | TGCGAGTACCGAGTTCTTTCTAG | GGCAGTCCTGGGACAACTCG |
SPE13303 | SPE13303_Epms697 | 5′-ROX | ATGTCGCTCGCAATTTCACT | CGTAGGGAGGAGCGATAGAG |
SPE13305 | SPE13305_Es201 | 5′-TAMRA | CGGCCAAATTATTTTTCCCAGT | TTCCCATAGTTGAAGAGCCTGC |
SPE13307 | SPE13307_Es110 | 5′-HEX | TACGGTTCCTCATCCCAGAAGA | AGGATGACCAATGTTTTGCCTC |
SPE13309 | SPE13309_Es212 | 5′-TAMRA | CCCTTCCCTTTTCTCCCTTCTT | CCAGAAACAGCCATTGATGATG |
SPE13311 | SPE13311_Es120 | 5′-ROX | GCGGCCTTTTGATTCATACAAT | CGTTTTACTGCCCTATCTGCTTG |
SPE13313 | SPE13313_Es285 | 5′-HEX | GCACGAGGCAACAAAAGAGAAT | CGCTGAGCGAGACAGAGAGAG |
SPE13315 | SPE13315_Es292 | 5′-TAMRA | TCCCATTTCGCAAGAAAGAAAA | TCCGATACAGCTGCAGTAGAAAAA |
SPE13317 | SPE13317_Es297 | 5′-FAM | TCAGCGATTAAGAATGCGATTG | CCAAATTGCCCTCTCTCTTCCT |
SPE13319 | SPE13319_Es395 | 5′-ROX | TGTAATTAATTGAGGTGCGCGA | TCTCTGGTTGACAATTAGGCCC |
SPE13321 | SPE13321_Hpmsl-106 | 5′-FAM | TCCAAACTACAAGCCTGCCTAACC | TTTTGCATTATTGAGTCCCACAGC |
SPE13323 | SPE13323_Epms712 | 5′-FAM | CCACAAAGGGTTTAAGCAGC | AAGGCAGGAGCAGAGTTCAA |
SPE13325 | SPE13325_Es417 | 5′-TAMRA | AATGCGGAGGAAGAAGAGGAAG | TAGTCCTTATCACCGACACGGC |
SPE13327 | SPE13327_Es321 | 5′-HEX | ACGAGGTCCACTTCCCCATTAT | TTAGAGAAGGAATAACCGGCAGC |
SPE13329 | SPE13329_Esl67 | 5′-HEX | CGCGATTCGATTGCTAAATCTC | CTAATTTCCCAGTTGCGTCTGC |
SPE13331 | SPE13331_Es64 | 5′-HEX | TTCGGCTATTTGAACAGAAGCA | TGATCCCTTCTTGTTTGATTTTTG |
SPE13333 | SPE13333_Esl33 | 5′-ROX | TTTTGGGGTTCAATAAAGCTGTG | TTCAACAAGATCATCAATTCACCA |
SPE13335 | SPE13335_Hpmsl-5 | 5′-FAM | CCAAACGAACCGATGAACACTC | GACAATGTTGAAAAAGGTGGAAGAC |
Order | Traits | Distribution frequency (%) | Coefficient of variation (%) | Shannon- Wiener diversity index | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | ||||
1 | PS | 4.8 | 14.4 | 80.8 | 19.17 | 0.60 | |||||||||
2 | RA | 51.4 | 41.8 | 6.9 | 30.26 | 0.89 | |||||||||
3 | MSC | 6.9 | 21.2 | 45.9 | 6.9 | 19.2 | 37.03 | 1.37 | |||||||
4 | SV | 60.3 | 26.0 | 11.0 | 2.7 | 141.78 | 1.00 | ||||||||
5 | MA | 21.9 | 39.7 | 38.4 | 24.06 | 1.07 | |||||||||
6 | PH | 24.7 | 56.9 | 18.5 | 33.86 | 0.98 | |||||||||
7 | CL | 1.4 | 9.6 | 47.3 | 41.8 | 21.14 | 1.00 | ||||||||
8 | LM | 93.8 | 6.2 | 22.73 | 0.23 | ||||||||||
9 | LSV | 85.6 | 13.0 | 0.7 | 0.7 | 267.58 | 0.47 | ||||||||
10 | FF | 89.7 | 10.3 | 27.63 | 0.33 | ||||||||||
11 | CC | 99.3 | 0.7 | 8.22 | 0.04 | ||||||||||
12 | AC | 0.7 | 2.7 | 5.5 | 15.1 | 40.4 | 35.6 | 20.93 | 1.31 | ||||||
13 | SC | 83.6 | 16.4 | 55.98 | 0.45 | ||||||||||
14 | NF | 96.6 | 3.4 | 17.64 | 0.15 | ||||||||||
15 | SL | 1.4 | 16.4 | 82.2 | 15.26 | 0.52 | |||||||||
16 | PP | 30.1 | 48.0 | 21.9 | 37.50 | 1.05 | |||||||||
17 | FT | 6.9 | 2.7 | 0.7 | 21.9 | 4.8 | 19.2 | 24.0 | 19.9 | 23.52 | 1.91 | ||||
18 | FTS | 82.2 | 12.3 | 3.4 | 2.1 | 49.41 | 0.61 | ||||||||
19 | GFC | 6.2 | 78.8 | 15.1 | 8.91 | 0.64 | |||||||||
20 | MF | 0.7 | 72.6 | 26.7 | 13.98 | 0.62 | |||||||||
21 | FTC | 42.5 | 56.9 | 0.7 | 32.15 | 0.72 | |||||||||
22 | FS | 89.0 | 6.9 | 4.1 | 39.98 | 0.42 | |||||||||
23 | FSR | 69.9 | 28.1 | 2.1 | 158.75 | 0.69 | |||||||||
24 | FBC | 7.5 | 43.2 | 49.3 | 26.05 | 0.91 | |||||||||
25 | FSC | 45.2 | 47.3 | 5.5 | 2.1 | 105.96 | 0.95 |
表2 146份辣椒种质的质量性状变化特点
Table 2 Variation pattern of qualitative traits of 146 pepper germplasms
Order | Traits | Distribution frequency (%) | Coefficient of variation (%) | Shannon- Wiener diversity index | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | ||||
1 | PS | 4.8 | 14.4 | 80.8 | 19.17 | 0.60 | |||||||||
2 | RA | 51.4 | 41.8 | 6.9 | 30.26 | 0.89 | |||||||||
3 | MSC | 6.9 | 21.2 | 45.9 | 6.9 | 19.2 | 37.03 | 1.37 | |||||||
4 | SV | 60.3 | 26.0 | 11.0 | 2.7 | 141.78 | 1.00 | ||||||||
5 | MA | 21.9 | 39.7 | 38.4 | 24.06 | 1.07 | |||||||||
6 | PH | 24.7 | 56.9 | 18.5 | 33.86 | 0.98 | |||||||||
7 | CL | 1.4 | 9.6 | 47.3 | 41.8 | 21.14 | 1.00 | ||||||||
8 | LM | 93.8 | 6.2 | 22.73 | 0.23 | ||||||||||
9 | LSV | 85.6 | 13.0 | 0.7 | 0.7 | 267.58 | 0.47 | ||||||||
10 | FF | 89.7 | 10.3 | 27.63 | 0.33 | ||||||||||
11 | CC | 99.3 | 0.7 | 8.22 | 0.04 | ||||||||||
12 | AC | 0.7 | 2.7 | 5.5 | 15.1 | 40.4 | 35.6 | 20.93 | 1.31 | ||||||
13 | SC | 83.6 | 16.4 | 55.98 | 0.45 | ||||||||||
14 | NF | 96.6 | 3.4 | 17.64 | 0.15 | ||||||||||
15 | SL | 1.4 | 16.4 | 82.2 | 15.26 | 0.52 | |||||||||
16 | PP | 30.1 | 48.0 | 21.9 | 37.50 | 1.05 | |||||||||
17 | FT | 6.9 | 2.7 | 0.7 | 21.9 | 4.8 | 19.2 | 24.0 | 19.9 | 23.52 | 1.91 | ||||
18 | FTS | 82.2 | 12.3 | 3.4 | 2.1 | 49.41 | 0.61 | ||||||||
19 | GFC | 6.2 | 78.8 | 15.1 | 8.91 | 0.64 | |||||||||
20 | MF | 0.7 | 72.6 | 26.7 | 13.98 | 0.62 | |||||||||
21 | FTC | 42.5 | 56.9 | 0.7 | 32.15 | 0.72 | |||||||||
22 | FS | 89.0 | 6.9 | 4.1 | 39.98 | 0.42 | |||||||||
23 | FSR | 69.9 | 28.1 | 2.1 | 158.75 | 0.69 | |||||||||
24 | FBC | 7.5 | 43.2 | 49.3 | 26.05 | 0.91 | |||||||||
25 | FSC | 45.2 | 47.3 | 5.5 | 2.1 | 105.96 | 0.95 |
Order | Traits | Means ± SD | Range | Coefficient of variation (%) | Shannon-Wiener diversity index |
---|---|---|---|---|---|
1 | LB (cm) | 13.00±2.76 | 7.94-22.88 | 21.25 | 2.02 |
2 | BW (cm) | 6.40±1.63 | 3.42-11.70 | 25.48 | 2.06 |
3 | PL (cm) | 6.87±1.92 | 3.22-12.70 | 27.95 | 1.98 |
4 | FFN | 10.45±2.78 | 5.00-18.00 | 26.62 | 2.00 |
5 | FRL (cm) | 7.92±1.16 | 5.08-11.87 | 14.70 | 1.91 |
6 | FW (cm) | 6.96±1.00 | 4.61-10.39 | 14.35 | 1.94 |
7 | FRW (g) | 19.82±14.37 | 1.86-80.00 | 72.51 | 1.84 |
8 | FTH (cm) | 0.25±0.08 | 0.09-0.23 | 34.04 | 1.93 |
9 | LN | 2.28±0.36 | 2.00-3.60 | 15.97 | 1.58 |
表3 146份辣椒种质的数量性状变化特点
Table 3 Variation pattern of quantitative traits of 146 pepper germplasms
Order | Traits | Means ± SD | Range | Coefficient of variation (%) | Shannon-Wiener diversity index |
---|---|---|---|---|---|
1 | LB (cm) | 13.00±2.76 | 7.94-22.88 | 21.25 | 2.02 |
2 | BW (cm) | 6.40±1.63 | 3.42-11.70 | 25.48 | 2.06 |
3 | PL (cm) | 6.87±1.92 | 3.22-12.70 | 27.95 | 1.98 |
4 | FFN | 10.45±2.78 | 5.00-18.00 | 26.62 | 2.00 |
5 | FRL (cm) | 7.92±1.16 | 5.08-11.87 | 14.70 | 1.91 |
6 | FW (cm) | 6.96±1.00 | 4.61-10.39 | 14.35 | 1.94 |
7 | FRW (g) | 19.82±14.37 | 1.86-80.00 | 72.51 | 1.84 |
8 | FTH (cm) | 0.25±0.08 | 0.09-0.23 | 34.04 | 1.93 |
9 | LN | 2.28±0.36 | 2.00-3.60 | 15.97 | 1.58 |
Traits | LB | BW | PL | FFN | FRL | FW | FRW | FTH | LN |
---|---|---|---|---|---|---|---|---|---|
LB | 1.00 | ||||||||
BW | 0.88** | 1.00 | |||||||
PL | 0.72** | 0.72** | 1.00 | ||||||
FFN | 0.23** | 0.10 | 0.28** | 1.00 | |||||
FRL | -0.28** | -0.29** | -0.23** | -0.07 | 1.00 | ||||
FW | 0.23** | 0.31** | 0.04 | -0.26** | -0.10 | 1.00 | |||
FRW | 0.18* | 0.22** | 0.05 | -0.25** | 0.24** | 0.81** | 1.00 | ||
FTH | 0.14 | 0.21* | 0.04 | -0.32** | 0.05 | 0.71** | 0.80** | 1.00 | |
LN | 0.13 | 0.15 | 0.06 | 0.02 | 0.06 | 0.47** | 0.42** | 0.31** | 1.00 |
表4 146份辣椒种质数量性状相关性分析
Table 4 Correlation coefficient of quantitative traits of 146 pepper germplasms
Traits | LB | BW | PL | FFN | FRL | FW | FRW | FTH | LN |
---|---|---|---|---|---|---|---|---|---|
LB | 1.00 | ||||||||
BW | 0.88** | 1.00 | |||||||
PL | 0.72** | 0.72** | 1.00 | ||||||
FFN | 0.23** | 0.10 | 0.28** | 1.00 | |||||
FRL | -0.28** | -0.29** | -0.23** | -0.07 | 1.00 | ||||
FW | 0.23** | 0.31** | 0.04 | -0.26** | -0.10 | 1.00 | |||
FRW | 0.18* | 0.22** | 0.05 | -0.25** | 0.24** | 0.81** | 1.00 | ||
FTH | 0.14 | 0.21* | 0.04 | -0.32** | 0.05 | 0.71** | 0.80** | 1.00 | |
LN | 0.13 | 0.15 | 0.06 | 0.02 | 0.06 | 0.47** | 0.42** | 0.31** | 1.00 |
Traits | Principal component | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
PC1 | PC2 | PC3 | PC4 | PC5 | PC6 | PC7 | PC8 | PC9 | PC10 | PC11 | |
FW | 0.876 | -0.315 | -0.119 | 0.048 | -0.052 | 0.039 | 0.106 | 0.105 | 0.008 | 0.053 | 0.055 |
FBC | -0.744 | 0.184 | 0.023 | -0.455 | 0.041 | 0.037 | -0.149 | -0.038 | 0.095 | 0.009 | -0.031 |
FSC | 0.712 | -0.234 | 0.005 | 0.487 | -0.033 | -0.161 | 0.145 | 0.095 | -0.128 | 0.001 | -0.019 |
FRW | 0.688 | -0.430 | 0.008 | -0.287 | -0.122 | 0.050 | 0.225 | 0.268 | 0.090 | 0.092 | 0.057 |
FTH | 0.658 | -0.262 | -0.151 | -0.266 | -0.306 | 0.072 | 0.190 | 0.237 | 0.188 | 0.099 | -0.007 |
FT | -0.626 | -0.042 | 0.133 | -0.397 | -0.034 | -0.031 | 0.018 | 0.034 | 0.059 | 0.056 | 0.045 |
LN | 0.512 | -0.295 | 0.320 | -0.039 | 0.060 | -0.021 | 0.043 | -0.291 | 0.237 | -0.019 | 0.277 |
FTC | 0.506 | 0.319 | -0.391 | 0.167 | 0.042 | -0.243 | 0.039 | -0.129 | 0.143 | 0.160 | -0.043 |
SL | -0.502 | 0.065 | -0.115 | 0.176 | -0.024 | -0.173 | 0.287 | 0.095 | 0.111 | 0.463 | 0.043 |
MA | -0.065 | 0.714 | 0.220 | 0.007 | -0.256 | -0.009 | 0.192 | 0.141 | -0.026 | -0.143 | -0.023 |
LB | 0.478 | 0.628 | 0.354 | -0.152 | 0.092 | -0.010 | 0.182 | 0.158 | -0.096 | 0.062 | -0.021 |
PL | 0.344 | 0.623 | 0.357 | -0.179 | 0.128 | 0.258 | 0.015 | 0.085 | -0.166 | 0.056 | -0.028 |
BW | 0.585 | 0.606 | 0.192 | -0.256 | 0.126 | 0.030 | 0.125 | 0.021 | -0.100 | 0.081 | -0.012 |
PS | 0.212 | 0.528 | 0.056 | -0.100 | -0.114 | -0.027 | 0.066 | 0.064 | 0.476 | -0.333 | 0.308 |
FRL | -0.298 | -0.525 | 0.113 | -0.455 | 0.222 | 0.074 | 0.230 | 0.189 | -0.028 | -0.010 | 0.119 |
PH | -0.343 | -0.518 | 0.260 | 0.141 | -0.141 | -0.036 | 0.043 | 0.171 | 0.203 | 0.001 | 0.031 |
FSR | 0.269 | -0.449 | 0.212 | 0.313 | 0.319 | 0.173 | -0.100 | -0.183 | -0.203 | 0.022 | 0.120 |
CL | -0.339 | 0.404 | -0.194 | 0.330 | 0.101 | 0.239 | 0.063 | 0.234 | 0.029 | -0.003 | 0.157 |
AC | -0.326 | 0.362 | -0.145 | 0.308 | 0.216 | 0.046 | 0.296 | 0.026 | 0.075 | -0.150 | 0.318 |
FFN | -0.141 | 0.267 | 0.655 | 0.278 | 0.008 | -0.047 | 0.155 | -0.146 | -0.078 | -0.143 | -0.043 |
MF | 0.115 | 0.411 | -0.555 | 0.025 | 0.322 | -0.039 | 0.190 | -0.157 | -0.018 | -0.104 | 0.035 |
FF | 0.318 | 0.117 | 0.554 | -0.115 | -0.025 | -0.083 | -0.080 | -0.262 | 0.204 | 0.191 | -0.238 |
SV | -0.182 | -0.341 | 0.417 | 0.303 | -0.075 | 0.089 | 0.337 | -0.190 | 0.067 | -0.112 | 0.182 |
FTS | 0.216 | -0.162 | -0.153 | -0.030 | 0.672 | 0.001 | -0.169 | 0.078 | 0.065 | -0.167 | 0.046 |
NF | 0.009 | 0.070 | 0.207 | 0.169 | 0.545 | 0.222 | -0.135 | 0.294 | 0.116 | 0.172 | -0.298 |
GFC | -0.106 | 0.115 | -0.033 | 0.272 | -0.517 | 0.366 | -0.002 | 0.184 | -0.084 | -0.070 | -0.123 |
RA | 0.186 | -0.107 | -0.100 | -0.051 | 0.201 | 0.694 | 0.001 | 0.157 | 0.112 | -0.086 | -0.014 |
LSV | -0.328 | -0.271 | 0.167 | 0.002 | -0.010 | 0.477 | 0.310 | -0.104 | -0.100 | 0.068 | 0.036 |
FS | -0.188 | -0.119 | 0.410 | 0.130 | 0.330 | -0.432 | 0.129 | 0.358 | -0.094 | 0.070 | -0.002 |
PP | 0.270 | 0.071 | 0.104 | 0.144 | -0.276 | 0.169 | -0.519 | -0.007 | -0.210 | -0.077 | 0.069 |
SC | -0.125 | 0.003 | -0.296 | -0.032 | -0.062 | 0.053 | 0.512 | -0.109 | -0.318 | 0.089 | -0.260 |
MSC | -0.197 | 0.119 | 0.047 | 0.391 | -0.117 | -0.013 | -0.224 | 0.407 | 0.287 | 0.236 | -0.004 |
LM | 0.008 | -0.235 | 0.042 | -0.125 | -0.061 | -0.317 | -0.019 | 0.418 | -0.336 | -0.492 | 0.001 |
CC | 0.011 | 0.184 | 0.022 | -0.136 | -0.065 | 0.001 | -0.205 | 0.075 | -0.380 | 0.433 | 0.631 |
Characteristic value | 5.67 | 4.24 | 2.44 | 1.99 | 1.85 | 1.52 | 1.44 | 1.27 | 1.12 | 1.09 | 1.01 |
Variance contribution rate (%) | 16.66 | 12.46 | 7.18 | 5.86 | 5.43 | 4.47 | 4.23 | 3.74 | 3.29 | 3.21 | 2.98 |
Cumulative contribution rate (%) | 16.66 | 29.13 | 36.31 | 42.17 | 47.60 | 52.07 | 56.30 | 60.04 | 63.33 | 66.54 | 69.52 |
表5 辣椒种质资源主成分分析
Table 5 Principal component analysis of pepper germplasm resources
Traits | Principal component | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
PC1 | PC2 | PC3 | PC4 | PC5 | PC6 | PC7 | PC8 | PC9 | PC10 | PC11 | |
FW | 0.876 | -0.315 | -0.119 | 0.048 | -0.052 | 0.039 | 0.106 | 0.105 | 0.008 | 0.053 | 0.055 |
FBC | -0.744 | 0.184 | 0.023 | -0.455 | 0.041 | 0.037 | -0.149 | -0.038 | 0.095 | 0.009 | -0.031 |
FSC | 0.712 | -0.234 | 0.005 | 0.487 | -0.033 | -0.161 | 0.145 | 0.095 | -0.128 | 0.001 | -0.019 |
FRW | 0.688 | -0.430 | 0.008 | -0.287 | -0.122 | 0.050 | 0.225 | 0.268 | 0.090 | 0.092 | 0.057 |
FTH | 0.658 | -0.262 | -0.151 | -0.266 | -0.306 | 0.072 | 0.190 | 0.237 | 0.188 | 0.099 | -0.007 |
FT | -0.626 | -0.042 | 0.133 | -0.397 | -0.034 | -0.031 | 0.018 | 0.034 | 0.059 | 0.056 | 0.045 |
LN | 0.512 | -0.295 | 0.320 | -0.039 | 0.060 | -0.021 | 0.043 | -0.291 | 0.237 | -0.019 | 0.277 |
FTC | 0.506 | 0.319 | -0.391 | 0.167 | 0.042 | -0.243 | 0.039 | -0.129 | 0.143 | 0.160 | -0.043 |
SL | -0.502 | 0.065 | -0.115 | 0.176 | -0.024 | -0.173 | 0.287 | 0.095 | 0.111 | 0.463 | 0.043 |
MA | -0.065 | 0.714 | 0.220 | 0.007 | -0.256 | -0.009 | 0.192 | 0.141 | -0.026 | -0.143 | -0.023 |
LB | 0.478 | 0.628 | 0.354 | -0.152 | 0.092 | -0.010 | 0.182 | 0.158 | -0.096 | 0.062 | -0.021 |
PL | 0.344 | 0.623 | 0.357 | -0.179 | 0.128 | 0.258 | 0.015 | 0.085 | -0.166 | 0.056 | -0.028 |
BW | 0.585 | 0.606 | 0.192 | -0.256 | 0.126 | 0.030 | 0.125 | 0.021 | -0.100 | 0.081 | -0.012 |
PS | 0.212 | 0.528 | 0.056 | -0.100 | -0.114 | -0.027 | 0.066 | 0.064 | 0.476 | -0.333 | 0.308 |
FRL | -0.298 | -0.525 | 0.113 | -0.455 | 0.222 | 0.074 | 0.230 | 0.189 | -0.028 | -0.010 | 0.119 |
PH | -0.343 | -0.518 | 0.260 | 0.141 | -0.141 | -0.036 | 0.043 | 0.171 | 0.203 | 0.001 | 0.031 |
FSR | 0.269 | -0.449 | 0.212 | 0.313 | 0.319 | 0.173 | -0.100 | -0.183 | -0.203 | 0.022 | 0.120 |
CL | -0.339 | 0.404 | -0.194 | 0.330 | 0.101 | 0.239 | 0.063 | 0.234 | 0.029 | -0.003 | 0.157 |
AC | -0.326 | 0.362 | -0.145 | 0.308 | 0.216 | 0.046 | 0.296 | 0.026 | 0.075 | -0.150 | 0.318 |
FFN | -0.141 | 0.267 | 0.655 | 0.278 | 0.008 | -0.047 | 0.155 | -0.146 | -0.078 | -0.143 | -0.043 |
MF | 0.115 | 0.411 | -0.555 | 0.025 | 0.322 | -0.039 | 0.190 | -0.157 | -0.018 | -0.104 | 0.035 |
FF | 0.318 | 0.117 | 0.554 | -0.115 | -0.025 | -0.083 | -0.080 | -0.262 | 0.204 | 0.191 | -0.238 |
SV | -0.182 | -0.341 | 0.417 | 0.303 | -0.075 | 0.089 | 0.337 | -0.190 | 0.067 | -0.112 | 0.182 |
FTS | 0.216 | -0.162 | -0.153 | -0.030 | 0.672 | 0.001 | -0.169 | 0.078 | 0.065 | -0.167 | 0.046 |
NF | 0.009 | 0.070 | 0.207 | 0.169 | 0.545 | 0.222 | -0.135 | 0.294 | 0.116 | 0.172 | -0.298 |
GFC | -0.106 | 0.115 | -0.033 | 0.272 | -0.517 | 0.366 | -0.002 | 0.184 | -0.084 | -0.070 | -0.123 |
RA | 0.186 | -0.107 | -0.100 | -0.051 | 0.201 | 0.694 | 0.001 | 0.157 | 0.112 | -0.086 | -0.014 |
LSV | -0.328 | -0.271 | 0.167 | 0.002 | -0.010 | 0.477 | 0.310 | -0.104 | -0.100 | 0.068 | 0.036 |
FS | -0.188 | -0.119 | 0.410 | 0.130 | 0.330 | -0.432 | 0.129 | 0.358 | -0.094 | 0.070 | -0.002 |
PP | 0.270 | 0.071 | 0.104 | 0.144 | -0.276 | 0.169 | -0.519 | -0.007 | -0.210 | -0.077 | 0.069 |
SC | -0.125 | 0.003 | -0.296 | -0.032 | -0.062 | 0.053 | 0.512 | -0.109 | -0.318 | 0.089 | -0.260 |
MSC | -0.197 | 0.119 | 0.047 | 0.391 | -0.117 | -0.013 | -0.224 | 0.407 | 0.287 | 0.236 | -0.004 |
LM | 0.008 | -0.235 | 0.042 | -0.125 | -0.061 | -0.317 | -0.019 | 0.418 | -0.336 | -0.492 | 0.001 |
CC | 0.011 | 0.184 | 0.022 | -0.136 | -0.065 | 0.001 | -0.205 | 0.075 | -0.380 | 0.433 | 0.631 |
Characteristic value | 5.67 | 4.24 | 2.44 | 1.99 | 1.85 | 1.52 | 1.44 | 1.27 | 1.12 | 1.09 | 1.01 |
Variance contribution rate (%) | 16.66 | 12.46 | 7.18 | 5.86 | 5.43 | 4.47 | 4.23 | 3.74 | 3.29 | 3.21 | 2.98 |
Cumulative contribution rate (%) | 16.66 | 29.13 | 36.31 | 42.17 | 47.60 | 52.07 | 56.30 | 60.04 | 63.33 | 66.54 | 69.52 |
SSR locus | Number of alleles per locus (Na) | Number of effective alleles per locus (Ne) | Proportion of Ne (%) | Shannon-Wiener diversity index (I) | Observed heterozygosity (Ho) | Expected heterozygosity (He) | Polymorphism information content |
---|---|---|---|---|---|---|---|
Epms697 | 3 | 1.847 | 61.57 | 0.701 | 0.082 | 0.459 | 0.365 |
Epms712 | 3 | 1.981 | 66.03 | 0.738 | 0.068 | 0.495 | 0.386 |
Epms923 | 6 | 2.282 | 38.03 | 0.965 | 0.082 | 0.562 | 0.469 |
Es110 | 4 | 1.528 | 38.20 | 0.589 | 0.103 | 0.346 | 0.297 |
Es120 | 8 | 3.816 | 47.70 | 1.509 | 0.137 | 0.738 | 0.696 |
Es201 | 4 | 1.383 | 34.58 | 0.525 | 0.048 | 0.277 | 0.250 |
Es212 | 4 | 1.191 | 29.78 | 0.354 | 0.007 | 0.160 | 0.153 |
Es285 | 3 | 1.404 | 46.80 | 0.507 | 0.014 | 0.288 | 0.253 |
Es292 | 3 | 2.067 | 68.90 | 0.863 | 0.041 | 0.516 | 0.446 |
Es297 | 4 | 1.974 | 49.35 | 0.786 | 0.082 | 0.493 | 0.397 |
Es321 | 7 | 1.949 | 27.84 | 0.884 | 0.116 | 0.487 | 0.417 |
Es330 | 3 | 2.061 | 68.70 | 0.889 | 0.062 | 0.515 | 0.461 |
Es363 | 6 | 2.443 | 40.72 | 1.010 | 0.139 | 0.591 | 0.505 |
Es395 | 3 | 1.730 | 57.67 | 0.749 | 0.057 | 0.422 | 0.379 |
Es417 | 5 | 1.380 | 27.60 | 0.557 | 0.041 | 0.275 | 0.253 |
Es64 | 5 | 1.600 | 32.00 | 0.723 | 0.062 | 0.375 | 0.338 |
Esl05 | 3 | 1.442 | 48.07 | 0.528 | 0.055 | 0.306 | 0.267 |
Esl33 | 3 | 1.408 | 46.93 | 0.546 | 0.062 | 0.290 | 0.265 |
Esl67 | 4 | 2.245 | 56.13 | 0.959 | 0.048 | 0.555 | 0.490 |
Hpmsl-106 | 2 | 1.914 | 95.70 | 0.671 | 0.048 | 0.478 | 0.364 |
Hpmsl-214 | 6 | 1.981 | 33.02 | 1.032 | 0.027 | 0.495 | 0.465 |
Hpmsl-5 | 13 | 5.311 | 40.85 | 2.056 | 0.097 | 0.812 | 0.795 |
Mean | 4.636 | 2.043 | 44.07 | 0.825 | 0.067 | 0.452 | 0.396 |
表6 22对SSR标记引物在146份辣椒种质中的多态性
Table 6 Polymorphism of 22 pair SSR markers in 146 pepper germplasms
SSR locus | Number of alleles per locus (Na) | Number of effective alleles per locus (Ne) | Proportion of Ne (%) | Shannon-Wiener diversity index (I) | Observed heterozygosity (Ho) | Expected heterozygosity (He) | Polymorphism information content |
---|---|---|---|---|---|---|---|
Epms697 | 3 | 1.847 | 61.57 | 0.701 | 0.082 | 0.459 | 0.365 |
Epms712 | 3 | 1.981 | 66.03 | 0.738 | 0.068 | 0.495 | 0.386 |
Epms923 | 6 | 2.282 | 38.03 | 0.965 | 0.082 | 0.562 | 0.469 |
Es110 | 4 | 1.528 | 38.20 | 0.589 | 0.103 | 0.346 | 0.297 |
Es120 | 8 | 3.816 | 47.70 | 1.509 | 0.137 | 0.738 | 0.696 |
Es201 | 4 | 1.383 | 34.58 | 0.525 | 0.048 | 0.277 | 0.250 |
Es212 | 4 | 1.191 | 29.78 | 0.354 | 0.007 | 0.160 | 0.153 |
Es285 | 3 | 1.404 | 46.80 | 0.507 | 0.014 | 0.288 | 0.253 |
Es292 | 3 | 2.067 | 68.90 | 0.863 | 0.041 | 0.516 | 0.446 |
Es297 | 4 | 1.974 | 49.35 | 0.786 | 0.082 | 0.493 | 0.397 |
Es321 | 7 | 1.949 | 27.84 | 0.884 | 0.116 | 0.487 | 0.417 |
Es330 | 3 | 2.061 | 68.70 | 0.889 | 0.062 | 0.515 | 0.461 |
Es363 | 6 | 2.443 | 40.72 | 1.010 | 0.139 | 0.591 | 0.505 |
Es395 | 3 | 1.730 | 57.67 | 0.749 | 0.057 | 0.422 | 0.379 |
Es417 | 5 | 1.380 | 27.60 | 0.557 | 0.041 | 0.275 | 0.253 |
Es64 | 5 | 1.600 | 32.00 | 0.723 | 0.062 | 0.375 | 0.338 |
Esl05 | 3 | 1.442 | 48.07 | 0.528 | 0.055 | 0.306 | 0.267 |
Esl33 | 3 | 1.408 | 46.93 | 0.546 | 0.062 | 0.290 | 0.265 |
Esl67 | 4 | 2.245 | 56.13 | 0.959 | 0.048 | 0.555 | 0.490 |
Hpmsl-106 | 2 | 1.914 | 95.70 | 0.671 | 0.048 | 0.478 | 0.364 |
Hpmsl-214 | 6 | 1.981 | 33.02 | 1.032 | 0.027 | 0.495 | 0.465 |
Hpmsl-5 | 13 | 5.311 | 40.85 | 2.056 | 0.097 | 0.812 | 0.795 |
Mean | 4.636 | 2.043 | 44.07 | 0.825 | 0.067 | 0.452 | 0.396 |
图3 样本在SSR位点Epms697上的扩增产物测序 (A) 杂合基因型AB (118 bp/121 bp); (B) 纯合基因型AA (118 bp); (C) 纯合基因型BB (121 bp)
Figure 3 Sequencing of amplification products of samples at the SSR locus Epms697 (A) Heterozygous genotype AB (118 bp/121 bp); (B) Homozygous genotype AA (118 bp); (C) Homozygous genotype BB (121 bp)
[1] |
Evanno G, Regnaut S, Goudet J (2005). Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study. Mol Ecol 14, 2611-2620.
DOI PMID |
[2] | Feng PL, Han R, Wang YY, Shao DK, Li QH, Zhong QW (2022). Construction of DNA fingerprints of pepper (Capsicum annuum L.) varieties based on SSR markers. Acta Agric Boreali-Occident Sin 31, 320-327. (in Chinese) |
冯鹏龙, 韩睿, 王亚艺, 邵登魁, 李全辉, 钟启文 (2022). 基于SSR标记辣椒品种DNA指纹图谱的构建. 西北农业学报 31, 320-327. | |
[3] | Fu HF, Lü XH, Chen JY, Li GJ (2018). Genetic diversity analysis of Capsicum germplasm based on phenotypic traits with SSR markers. J Nucl Agric Sci 32, 1309-1319. (in Chinese) |
傅鸿妃, 吕晓菡, 陈建瑛, 李国景 (2018). 辣椒种质表型性状与SSR分子标记的遗传多样性分析. 核农学报 32, 1309-1319.
DOI |
|
[4] | He JL, Shi TT, Chen L, Wang HG, Gao ZJ, Yang MH, Wang RY, Qiao ZJ (2019). The genetic diversity of common millet (Panicum miliaceum) germplasm resources based on the EST-SSR markers. Chin Bull Bot 54, 723-732. (in Chinese) |
何杰丽, 石甜甜, 陈凌, 王海岗, 高志军, 杨美红, 王瑞云, 乔治军 (2019). 糜子EST-SSR分子标记的开发及种质资源遗传多样性分析. 植物学报 54, 723-732.
DOI |
|
[5] | Hu LP (2015). SAS Common Statistical Analysis Tutorial. Beijing: Publishing House of Electronics Industry. pp. 203-452. (in Chinese) |
胡良平 (2015). SAS常用统计分析教程. 北京: 电子工业出版社. pp. 203-452. | |
[6] | Kim S, Park M, Yeom SI, Kim YM, Lee JM, Lee HA, Seo E, Choi J, Cheong K, Kim KT, Jung K, Lee GW, Oh SK, Bae C, Kim SB, Lee HY, Kim SY, Kim MS, Kang BC, Jo YD, Yang HB, Jeong HJ, Kang WH, Kwon JK, Shin C, Lim JY, Park JH, Huh JH, Kim JS, Kim BD, Cohen O, Paran I, Suh MC, Lee SB, Kim YK, Shin Y, Noh SJ, Park J, Seo YS, Kwon SY, Kim HA, Park JM, Kim HJ, Choi SB, Bosland PW, Reeves G, Jo SH, Lee BW, Cho HT, Choi HS, Lee MS, Yu Y, Do Choi Y, Park BS, van Deynze A, Ashrafi H, Hill T, Kim WT, Pai HS, Ahn HK, Yeam I, Giovannoni JJ, Rose JKC, Sørensen I, Lee SJ, Kim RW, Choi IY, Choi BS, Lim JS, Lee YH, Choi D (2014). Genome sequence of the hot pepper provides insights into the evolution of pungency in Capsicum species. Nat Genet 46, 270-278. |
[7] |
Lei ML, Liu X, Wang YZ, Cui GQ, Mu ZX, Liu LL, Li X, Lu LH, Li XL, Zhang XJ (2024). Genetic diversity analysis of winter wheat germplasm resources in Shanxi province based on 55K SNP array. Sci Agric Sin 57, 1845-1856. (in Chinese)
DOI |
雷梦林, 刘霞, 王艳珍, 崔国庆, 穆志新, 刘龙龙, 李欣, 逯腊虎, 李晓丽, 张晓军 (2024). 基于55K SNP芯片的山西冬小麦种质资源遗传多样性分析. 中国农业科学 57, 1845-1856.
DOI |
|
[8] | Li XX, Zhang BX (2006). Descriptors and Data Standard for Capsicum. Beijing: Chinese Agriculture Publishing House. pp. 1-98. (in Chinese) |
李锡香, 张宝玺 (2006). 辣椒种质资源描述规范和数据标准. 北京: 中国农业出版社. pp. 1-98. | |
[9] | Liu F, Zhao JT, Sun HH, Xiong C, Sun XP, Wang X, Wang ZY, Jarret R, Wang J, Tang BQ, Xu H, Hu BW, Suo H, Yang BZ, Ou LJ, Li XF, Zhou SD, Yang S, Liu ZB, Yuan F, Pei ZM, Ma YQ, Dai XZ, Wu S, Fei ZJ, Zou XX (2023). Genomes of cultivated and wild Capsicum species provide insights into pepper domestication and population differentiation. Nat Commun 14, 5487. |
[10] |
Liu KJ, Muse SV (2005). PowerMarker: an integrated analysis environment for genetic marker analysis. Bioinformatics 21, 2128-2129.
DOI PMID |
[11] | Liu LY, Huang YC, Yang N, Liu WX, Zhao YM, Long CF, Dang XM (2023). Genetic diversity of phenotypic traits in 81 Capsicum annuum germplasms. Chin J Trop Crops 44, 706-715. (in Chinese) |
刘林娅, 黄亚成, 杨那, 刘维侠, 赵艳妹, 龙彩凤, 党选民 (2023). 81份辣椒种质资源表型性状的遗传多样性分析. 热带作物学报 44, 706-715.
DOI |
|
[12] | Liu SR, Yang Y, Tian HL, Yi HM, Wang L, Kang DM, Fan YM, Ren J, Jiang B, Ge JR, Cheng GL, Wang FG (2021). Genetic diversity analysis of silage corn varieties based on agronomic and quality traits and SSR markers. Acta Agron Sin 47, 2362-2370. (in Chinese) |
刘少荣, 杨扬, 田红丽, 易红梅, 王璐, 康定明, 范亚明, 任洁, 江彬, 葛建镕, 成广雷, 王凤格 (2021). 基于农艺及品质性状与SSR标记的青贮玉米品种遗传多样性分析. 作物学报 47, 2362-2370.
DOI |
|
[13] | Lü W, Han JM, Ren GX, Wen F, Wang RP, Liu WP (2021). Genetic diversity analysis of sesame germplasm resources in Shanxi with SSR markers. J Nucl Agric Sci 35, 1495-1506. (in Chinese) |
吕伟, 韩俊梅, 任果香, 文飞, 王若鹏, 刘文萍 (2021). 山西芝麻种质资源SSR遗传多样性及群体结构分析. 核农学报 35, 1495-1506.
DOI |
|
[14] | Pei HX, Wu XX, Feng HP, Gao JX (2024). Genetic diversity analysis of morphological traits of 1000 pepper germplasms. Jiangsu Agric Sci 52(6), 173-190. (in Chinese) |
裴红霞, 武旭霞, 冯海萍, 高晶霞 (2024). 1000份辣椒种质形态学性状的遗传多样性分析. 江苏农业科学 52(6), 173-190. | |
[15] |
Qin C, Yu CS, Shen YO, Fang XD, Chen L, Min JM, Cheng JW, Zhao SC, Xu M, Luo Y, Yang YL, Wu ZM, Mao LK, Wu HY, Ling-Hu CY, Zhou HK, Lin HJ, González- Morales SG, Trejo-Saavedra DL, Tian H, Tang X, Zhao MJ, Huang ZY, Zhou AW, Yao XM, Cui JJ, Li WQ, Chen Z, Feng YQ, Niu YC, Bi SM, Yang XW, Li WP, Cai HM, Luo XR, Montes-Hernández S, Leyva-González MA, Xiong ZQ, He XJ, Bai LJ, Tan S, Tang XQ, Liu D, Liu JW, Zhang SX, Chen MS, Zhang L, Zhang L, Zhang YC, Liao WQ, Zhang Y, Wang M, Lv XD, Wen B, Liu HJ, Luan HM, Zhang YG, Yang S, Wang XD, Xu JH, Li XQ, Li SC, Wang JY, Palloix A, Bosland PW, Li YR, Krogh A, Rivera-Bustamante RF, Herrera-Estrella L, Yin Y, Yu JP, Hu KL, Zhang ZM (2014). Whole-genome sequencing of cultivated and wild peppers provides insights into Capsicum domestication and specialization. Proc Natl Acad Sci USA 111, 5135-5140.
DOI PMID |
[16] | Wang LH, Zhang BX, Zhang ZH, Cao YC, Yu HL, Feng XG (2021). Status in breeding and production of Capsicum spp. in China during ‘the thirteenth five-year plan’ period and future prospect. China Veg (2), 21-29. (in Chinese) |
王立浩, 张宝玺, 张正海, 曹亚从, 于海龙, 冯锡刚 (2021). “十三五”我国辣椒育种研究进展、产业现状及展望. 中国蔬菜 (2), 21-29. | |
[17] |
Wang XY, Zhang FY, Wan X, Wang CQ, Liu Y, Xiao BZ (2023). Diversity of rice landraces revealed by molecular markers and phenotypic traits. J Plant Genet Resour 24, 636-647. (in Chinese)
DOI |
王晓映, 张方玉, 万星, 王成琪, 刘燚, 肖本泽 (2023). 基于分子标记和表型性状的水稻地方品种遗传多样性研究. 植物遗传资源学报 24, 636-647.
DOI |
|
[18] | Xie LF, Li N, Li Y, Yao MH (2019). Genetic diversity and population structure of eggplant (Solanum melongena) germplasm resources based on SRAP method. Chin Bull Bot 54, 58-63. (in Chinese) |
谢立峰, 李宁, 李烨, 姚明华 (2019). 茄子种质遗传多样性及群体结构的SRAP分析. 植物学报 54, 58-63.
DOI |
|
[19] | Yuan JW, Jia L, Tang J, Zhai YQ, Wang S, Yan CS, Fang L, Zhang QA, Yu FF, Gan DF, Jiang HK (2024). Genetic diversity analysis of phenotypic characters in 275 pepper germplasm resources. J Anhui Agric Univ 51, 244-255. (in Chinese) |
袁娟伟, 贾利, 唐菁, 翟永琪, 汪胜, 严从生, 方凌, 张其安, 俞飞飞, 甘德芳, 江海坤 (2024). 275份辣椒种质资源表型性状的遗传多样性分析. 安徽农业大学学报 51, 244-255. | |
[20] | Zhang QQ, Liang S, Wang Y, Jia L, Fang L, Zhang QA, Jiang HK, Sui YH, Dong YX (2020). Genetic diversity analysis of 57 germplasms of Capsicum annuum based on phenotypic traits and SSR markers. J Trop Subtrop Bot 28, 356-366. (in Chinese) |
张强强, 梁赛, 王艳, 贾利, 方凌, 张其安, 江海坤, 隋益虎, 董言香 (2020). 基于表型性状和SSR标记的57份辣椒种质遗传多样性分析. 热带亚热带植物学报 28, 356-366. | |
[21] | Zhang XL, Zhu LL, Li FZ, Tang XM, Xia YL, You Y, Zhong RC (2023). Evaluation and analysis of agronomic and quality traits of 115 peanut germplasm resources. Acta Agric Zhejiang 35, 2033-2044. (in Chinese) |
张小利, 朱灵龙, 李付振, 唐秀梅, 夏友霖, 游宇, 钟瑞春 (2023). 115份花生种质资源农艺与品质性状鉴评及分析. 浙江农业学报 35, 2033-2044.
DOI |
|
[22] |
Zhang YZ, Zhang XJ, Liang D, Guo Q, Fan XQ, Nie ME, Wang HY, Zhao WB, Du WJ, Liu QS (2023). Genetic diversity analysis and comprehensive evaluation of sorghum breeding materials based on phenotypic traits. Sci Agric Sin 56, 2837-2852. (in Chinese)
DOI |
张一中, 张晓娟, 梁笃, 郭琦, 范昕琦, 聂萌恩, 王绘艳, 赵文博, 杜维俊, 柳青山 (2023). 基于表型性状的高粱育种材料遗传多样性分析及综合评价. 中国农业科学 56, 2837-2852.
DOI |
|
[23] | Zhang ZH, Wang YF, Wu HM, Yu HL, Cao YC, Feng XG, Wang LH (2024). Advandes in genetic mapping and candidate gene analysis of important traits in pepper (Capsicum spp.). Acta Hortic Sin 51, 669-696. (in Chinese) |
张正海, 王永富, 吴华茂, 于海龙, 曹亚从, 冯锡刚, 王立浩 (2024). 辣椒重要性状遗传定位与候选基因研究进展. 园艺学报 51, 669-696. | |
[24] | Zhao YH, Qi SN, Li AX, Zhao YX, Ma XR, Liu YX (2024). Genetic diversity analysis of hawthorn germplasm resources based on fruit phenotypic traits. J Shenyang Agric Univ 55, 395-404. (in Chinese) |
赵玉辉, 齐索尼, 李昂轩, 赵迎汐, 马欣然, 刘月学 (2024). 基于果实表型性状的山楂种质资源遗传多样性分析. 沈阳农业大学学报 55, 395-404. | |
[25] | Zou XX, Zhu F (2022). Origin, evolution and cultivation history of the pepper. Acta Hortic Sin 49, 1371-1381. (in Chinese) |
邹学校, 朱凡 (2022). 辣椒的起源、进化与栽培历史. 园艺学报 49, 1371-1381.
DOI |
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