基于SSR标记的麻栎天然群体遗传多样性分析

doi:10.12302/j.issn.1000-2006.202101025

国家林草科技领军期刊
中国精品科技期刊
中国高校百佳科技期刊
江苏省新闻出版政府奖期刊奖
RCCSE林学权威期刊（A+）
CSCD核心期刊
Scopus数据库收录期刊
中文核心期刊
SCD核心期刊

作者加群：102861116

微信公众号：南京林业大学学报

高级检索

南京林业大学学报（自然科学版） ›› 2022, Vol. 46 ›› Issue (3): 109-116.doi: 10.12302/j.issn.1000-2006.202101025

基于SSR标记的麻栎天然群体遗传多样性分析

吕锋¹(), 解孝满¹^,², 韩彪², 鲁仪增², 王磊², 董昕², 王艳², 陆璐², 刘莉¹, 宗绍宁², 李文清¹^,²^,^*()

1.山东师范大学生命科学学院,山东济南 250014
2.山东省林草种质资源中心,山东济南 250102

收稿日期:2021-01-19 接受日期:2021-07-13 出版日期:2022-05-30 发布日期:2022-06-10
通讯作者: 李文清
基金资助:
山东省农业良种工程(2019LZGC01805);国家林业和草原局科技发展中心生物安全与遗传资源管理项目(KJZXSA202111)

Genetic diversity analyses of Quercus acutissima based on SSR markers

LYU Feng¹(), XIE Xiaoman¹^,², HAN Biao², LU Yizeng², WANG Lei², DONG Xin², WANG Yan², LU Lu², LIU Li¹, ZONG Shaoning², LI Wenqing¹^,²^,^*()

1. College of Life Science, Shandong Normal University, Ji’nan 250014, China
2. Shandong Forest and Grass Germplasm Resources Center, Ji’nan 250102, China

Received:2021-01-19 Accepted:2021-07-13 Online:2022-05-30 Published:2022-06-10
Contact: LI Wenqing

摘要/Abstract

摘要：

【目的】基于SSR分子标记对麻栎天然群体遗传多样性与遗传结构进行分析,为麻栎种质资源的保护和利用提供理论基础。【方法】以分布于我国7个省8个麻栎天然群体的150个个体为研究对象,利用筛选出的18对SSR引物,使用GenAIEx 6.51、MEGA 7.0.26和Structure 2.3.4等软件,采用AMOVA分析、主成分分析、聚类分析和Structure分析等方法,对麻栎群体及相应个体的遗传多样性、分子方差、遗传距离及遗传结构进行研究。【结果】18个SSR位点的等位基因数(N_a)平均为5.625个,有效等位基因数(N_e)平均为4.104个,Shannon指数(I)平均为1.338,观测杂合度(H_o)平均为0.895,期望杂合度(H_e)平均为0.645,筛选出的18对麻栎SSR引物具有丰富的多态性。8个麻栎群体的遗传距离为0.222~1.587,遗传一致度为0.205~0.801,遗传分化系数(F_st)平均为0.252,基因流(N_m)平均为1.140,固定指数(F)均为负值且平均为-0.441。麻栎群体的遗传多样性水平较高,遗传分化小,且群体间存在杂合子剩余;其98%的变异来自群体内, 2%的变异来自群体间。UPGMA聚类分析、Structure分析均将8个群体分为2组,二者的个体组成成分存在一定差异;主成分分析结果与上述基本一致,存在一定的交叉引种及基因渐渗现象。【结论】麻栎群体遗传多样性水平较高,遗传分化水平较低,遗传差异主要存在于群体内部,并呈现出沿“西南—东北”方向地理变异规律。因此,对麻栎天然群体的保护应该采取原地保护和异地繁育保存相结合的措施。

关键词: 麻栎, 天然群体, SSR分子标记, 遗传多样性, 遗传结构

Abstract:

【Objective】To provide a theoretical basis for the protection and use of Quercus acutissima germplasm resources, 150 individuals of Q. acutissima from eight natural populations distributed in seven provinces of China were selected as the research objects. Their genetic diversity and genetic structure were analyzed based on SSR molecular markers.【Method】A total of 18 pairs of SSR primers were screened and used to study the genetic diversity, molecular variance, genetic distance and genetic structure of Q. acutissima populations and corresponding individuals using AMOVA analysis, principal component analysis, cluster analysis and structure analysis. Software such as GenAIEx 6.51, MEGA 7.0.26 and Structure 2.3.4 were used in the data analysis.【Result 】 The average number of alleles (N_a), effective alleles (N_e), the Shannon index (I) and observed heterozygosity (H_o) of the 18 SSR loci were 5.625, 4.104, 1.338 and 0.895, respectively. The average expected heterozygosity (H_e) was 0.645, and the 18 pairs of SSR primers that were screened showed abundant polymorphism. The genetic distance of the eight populations ranged from 0.222 to 1.587. The genetic consistency ranged from 0.205 to 0.801, the average coefficient of genetic differentiation (F_st) was 0.252, the average gene flow (N_m) was 1.140, and the average fixed index (F) was negative and was -0.441. The genetic diversity of the populations was high, the genetic differentiation was small, and there was heterozygote residues among the populations. A total of 98% of the variation came from within the population and 2% came from among the populations. UPGMA cluster analysis and structure analysis divided the eight populations into two groups, respectively. There were some differences in the individual composition of the two groups. The results of the principal component analysis were consistent with other results. The phenomena of cross introduction and gene introgression was present between the groups.【Conclusion】 The level of genetic diversity of Q. acutissima population is high, and the level of genetic differentiation is low. The genetic difference mainly exists in the population and presents the law of geographical variations in a southwest to northeast direction. For the protection of this species, areas with high genetic diversity should be protected as a priority, and the protection strategy of in situ conservation should be combined with ex situ breeding and preservation is proposed.

Key words: Quercus acutissima, natural population, simple-sequence-repeat (SSR), genetic diversity, genetic structure

中图分类号:

吕锋,解孝满,韩彪,等. 基于SSR标记的麻栎天然群体遗传多样性分析[J]. 南京林业大学学报（自然科学版）, 2022, 46(3): 109-116.

LYU Feng, XIE Xiaoman, HAN Biao, LU Yizeng, WANG Lei, DONG Xin, WANG Yan, LU Lu, LIU Li, ZONG Shaoning, LI Wenqing. Genetic diversity analyses of Quercus acutissima based on SSR markers[J].Journal of Nanjing Forestry University (Natural Science Edition), 2022, 46(3): 109-116.DOI: 10.12302/j.issn.1000-2006.202101025.

图/表 9

表1

表2

表3

表4

表5

表6

图1

图2

图3

参考文献 34

[1]	DENK T, GRIMM G W, MANOS P S, et al. An updated infrageneric classification of the iaks:review of previous taxonomic schemes and synthesis of evolutionary patterns[C]// Oaks physiological ecology exploring functional diversity genus Quercus L. Switzerland: Springer International Publishing, 2017:13-38.DOI: 10.1007/978-3-319-69099-5_2. doi: 10.1007/978-3-319-69099-5_2
[2]	徐立安. 栎属群体与进化遗传研究进展[J]. 南京林业大学学报(自然科学版), 2002, 26(6):73-77.
	XU L A. Developments in population and evolutionary genetics within the genus Quercus L[J]. J Nanjing For Univ (Nat Sci Ed), 2002, 26(6):73-77.DOI: 10.3969/j.issn.1000-2006.2002.06.019. doi: 10.3969/j.issn.1000-2006.2002.06.019
[3]	刘志龙, 虞木奎, 唐罗忠, 等. 麻栎资源研究进展及开发利用对策[J]. 中国林副特产, 2009(6):93-96.
	LIU Z L, YU M K, TANG L Z, et al. Progress and utilization countermeasure of Quercus acutissima[J]. For Prod Speciality China, 2009(6):93-96.DOI: 10.3969/j.issn.1001-6902.2009.06.045. doi: 10.3969/j.issn.1001-6902.2009.06.045
[4]	袁久志, 孙启时. 麻栎叶的化学成分研究[J]. 沈阳药科大学学报, 1999, 16(1):60-62.
	YUAN J Z, SUN Q S. A study on the chemical constituents of the leaves of Quercus acutissima Carruth[J]. J Shenyang Pharm Univ, 1999, 16(1):60-62.DOI: 10.3969/j.issn.1006-2858.1999.01.015. doi: 10.3969/j.issn.1006-2858.1999.01.015
[5]	赵丹. 麻栎组培和扦插繁殖技术研究[D]. 南京: 南京林业大学, 2010.
	ZHAO D. The research of propagation technique of tissue culture and cutting of Quercus acutissima[D]. Nanjing: Nanjing Forestry University, 2010.
[6]	董章凯, 邢世岩, 王亚明, 等. 麻栎半同胞家系苗期特性分析[J]. 东北林业大学学报, 2011, 39(4):27-28,36.
	DONG Z K, XING S Y, WANG Y M, et al. Seedling traits of Quercus acutissima from different half-sib families[J]. J Northeast For Univ, 2011, 39(4):27-28,36.DOI: 10.13759/j.cnki.dlxb.2011.04.036. doi: 10.13759/j.cnki.dlxb.2011.04.036
[7]	董玉峰. 麻栎群体内变异性和优良家系、无性系选择研究[D]. 泰安: 山东农业大学, 2008.
	DONG Y F. Study on variation among Quercus acutissima population and selection of its families and clones[D]. Taian: Shandong Agricultural University, 2008.
[8]	叶青雷, 曾宪云. 麻栎SRAP-PCR体系优化与遗传多样性分析[J]. 生物技术, 2009, 19(3):24-27.
	YE Q L, ZENG X Y. Optimization of SRAP-PCR system and genetic diversity analysis in Quercus acutissima Carr[J]. Biotechnology, 2009, 19(3):24-27.DOI: 10.16519/j.cnki.1004-311x.2009.03.028. doi: 10.16519/j.cnki.1004-311x.2009.03.028
[9]	彭礼琼, 金则新, 祁彩虹, 等. 麻栎ISSR-PCR扩增条件的优化[J]. 江苏农业科学, 2011, 39(4):30-32.
	PENG L Q, JIN Z X, QI C H, et al. Optimization of ISSR-PCR amplification conditions of Quercus acutissima[J]. Jiangsu Agric Sci, 2011, 39(4):30-32.DOI: 10.15889/j.issn.1002-1302.2011.04.180. doi: 10.15889/j.issn.1002-1302.2011.04.180
[10]	孟旭. 麻栎的谱系地理学和遗传多样性研究[D]. 西安: 西北大学, 2017.
	MENG X. Study on phylogeography and population genetics structure of Quercus acutissima Carr[D]. Xi’an: Northwest University, 2017.
[11]	徐小林, 徐立安, 黄敏仁, 等. 栓皮栎天然群体SSR遗传多样性研究[J]. 遗传, 2004, 26(5):683-688.
	XU X L, XU L A, HUANG M R, et al. Genetic diversity of microsatellites(SSRs)of natural populations of Quercus variabilis[J]. Hereditas, 2004, 26(5):683-688.DOI: 10.16288/j.yczz.2004.05.023. doi: 10.16288/j.yczz.2004.05.023
[12]	秦英英, 韩海荣, 康峰峰, 等. 基于SSR标记的山西省辽东栎自然居群遗传多样性分析[J]. 北京林业大学学报, 2012, 34(2):61-65.
	QIN Y Y, HAN H R, KANG F F, et al. Genetic diversity in natural populations of Quercus liaotungensis in Shanxi Province based on nuclear SSR markers[J]. J Beijing For Univ, 2012, 34(2):61-65.DOI: 10.13332/j.1000-1522.2012.02.022. doi: 10.13332/j.1000-1522.2012.02.022
[13]	王雁红, 俞琦, 杨佳, 等. 基于核微卫星的短柄枹栎居群遗传多样性和遗传结构[J]. 林业科学, 2015, 51(12):121-131.
	WANG Y H, YU Q, YANG J, et al. Genetic diversity and population structure of Quercus serrata var.brevipetiolata revealed by nSSR markers[J]. Sci Silvae Sin, 2015, 51(12):121-131.DOI: 10.11707/j.1001-7488.20151215. doi: 10.11707/j.1001-7488.20151215
[14]	李文英, 顾万春, 周世良. 蒙古栎天然群体遗传多样性的AFLP分析[J]. 林业科学, 2003, 39(5):29-36.
	LI W Y, GU W C, ZHOU S L. AFLP analysis on genetic diversity of Quercus mongolica populations[J]. Sci Silvae Sin, 2003, 39(5):29-36.DOI: 10.3321/j.issn:1001-7488.2003.05.005. doi: 10.3321/j.issn:1001-7488.2003.05.005
[15]	陈怀琼, 隋春, 魏建和. 植物SSR引物开发策略简述[J]. 分子植物育种, 2009, 7(4):845-851.
	CHEN H Q, SUI C, WEI J H. Summary of strategies for developing SSR primer[J]. Mol Plant Breed, 2009, 7(4):845-851.DOI: 10.3969/mpb.007.000845. doi: 10.3969/mpb.007.000845
[16]	SULLIVAN A R, LIND J F, MCCLEARY T S, et al. Development and characterization of genomic and gene-based microsatellite markers in north American red oak species[J]. Plant Mol Biol Report, 2013, 31(1):231-239.DOI: 10.1007/s11105-012-0495-6. doi: 10.1007/s11105-012-0495-6
[17]	PEAKALL R, SMOUSE P E. GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research: an update[J]. Bioinformatics, 2012, 28(19): 2537-2539. DOI: 10.1093/bioinformatics/bts460. doi: 10.1093/bioinformatics/bts460
[18]	SLATKIN M, BARTON N H. A comparison of three indirect methods for estimating average levels of gene flow[J]. Evolution, 1989, 43(7):1349-1368. DOI: 10.2307/2409452. doi: 10.2307/2409452
[19]	PRITCHARD J K, STEPHENS M, DONNELLY P. Inference of Population structure using multilocus genotype data[J]. Genetics, 2000, 155(4):9197-9201. DOI: 10.1093/genetics/155.2.945. doi: 10.1093/genetics/155.2.945
[20]	SUDHIR K, GLEN S, KOICHIRO T. MEGA7: Molecular evolutionary genetics analysis version 7.0 for bigger datasets[J]. Mo Biol & Evol, 2016(7):1870. DOI: 10.1093/molbev/msw054. doi: 10.1093/molbev/msw054
[21]	张昊. 中国栎属麻栎组三个近缘物种的群体遗传学和种群动态历史研究[D]. 西安: 西北大学, 2018.
	ZHANG H. Study on population genetics and demographic history of the three closely related species of Section Aegilops occurred in China[D]. Xi’an: Northwest University, 2018.
[22]	GAO J, LIU Z L, ZHAO W, et al. Combined genotype and phenotype analyses reveal patterns of genomic adaptation to local environments in the subtropical oak Quercus acutissima[J]. J Syst Evol, 2021, 59(3):541-556.DOI: 10.1111/jse.12568. doi: 10.1111/jse.12568
[23]	杨梅, 张敏, 师守国, 等. 武当木兰种群遗传结构的ISSR分析[J]. 林业科学, 2014, 50(1):76-81.
	YANG M, ZHANG M, SHI S G, et al. Analysis of genetic structure of Magnolia sprengeri populations based on ISSR markers[J]. Sci Silvae Sin, 2014, 50(1):76-81.DOI: 10.11707/j.1001-7488.20140112. doi: 10.11707/j.1001-7488.20140112
[24]	巨苗苗. 基于SLAF-seq技术的高山栎组植物系统发育和群体遗传学研究[D]. 西安: 西北大学, 2020.
	JU M M. Research on the phylogeny and population genetics of Quercus Sect. Heterobalanus based on the SLAF-seq[D]. Xi’an: Northwest University, 2020.
[25]	MURAWSKI D A, HAMRICK J L. The effect of the density of flowering individuals on the mating systems of nine tropical tree species[J]. Heredity, 1991, 67(2):167-174.DOI: 10.1038/hdy.1991.76. doi: 10.1038/hdy.1991.76
[26]	MURAWSKI D A, HAMRICK J L. The mating system of Cavanillesia platanifolia under extremes of flowering-tree density: a test of predictions[J]. Biotropica, 1992, 24(1):99.DOI: 10.2307/2388478. doi: 10.2307/2388478
[27]	文亚峰, UCHIYAMA K, 韩文军, 等. 微卫星标记中的无效等位基因[J]. 生物多样性, 2013, 21(1):117-126. doi: 10.3724/SP.J.1003.2013.10133
	WEN Y F, UCHIYAMA K, HAN W J, et al. Null alleles in microsatellite markers[J]. Biodivers Sci, 2013, 21(1):117-126.DOI: 10.3724/SP.J.1003.2013.10133. doi: 10.3724/SP.J.1003.2013.10133
[28]	JACQUEMYN H, HONNAY O, GALBUSERA P, et al. Genetic structure of the forest herb Primula elatior in a changing landscape[J]. Mol Ecol, 2004, 13(1):211-219.DOI: 10.1046/j.1365-294x.2003.02033.x. doi: 10.1046/j.1365-294x.2003.02033.x.
[29]	KREMER A, PETIT R J. Gene diversity in natural populations of oak species[J]. Ann For Sci, 1993,50(Supplement):186s-202s.DOI: 10.1051/forest:19930717. doi: 10.1051/forest:19930717
[30]	HAMRICK J, GODT M. Allozyme diversity in plant species[C]// BROWN A,CLEGG M.Plant population genetics, breeding and genetic resources, Sunderland M A: Sinauer, 1990:43-63.
[31]	伊贤贵, 陈洁, 尤禄祥, 等. 山樱花群体遗传多样性的SSR分析[J]. 南京林业大学学报(自然科学版), 2018, 42(5):25-31.
	YI X G, CHEN J, YOU L X, et al. Genetic divertsity of Cerasus serrulata populations assessed by SSR markers[J]. J Nanjing For Univ (Nat Sci Ed), 2018, 42(5):25-31.DOI: 10.3969/j.issn.1000-2006.201702036. doi: 10.3969/j.issn.1000-2006.201702036
[32]	臧明月, 李璇, 方炎明. 基于SSR标记的白栎天然居群遗传多样性分析[J]. 南京林业大学学报(自然科学版), 2021, 45(1):63-69.
	ZANG M Y, LI X, FANG Y M. Genetic diversity analysis among natural populations of Quercus fabri based on SSR markers[J]. J Nanjing For Univ (Nat Sci Ed), 2021, 45(1):63-69.DOI: 10.12302/j.issn.1000-2006.202004049. doi: 10.12302/j.issn.1000-2006.202004049
[33]	SHI X M, WEN Q, CAO M, et al. Genetic diversity and structure of natural Quercus variabilis population in China as revealed by microsatellites markers[J]. Forests, 2017, 8(12):495.DOI: 10.3390/f8120495. doi: 10.3390/f8120495
[34]	徐小林. 栓皮栎群体遗传结构研究[D]. 南京: 南京林业大学, 2003.
	XU X L. Study on genetic structure of Quercus variabilis natural populations[D]. Nanjing: Nanjing Forestry University, 2003.

编号 ID	群体 population	东经/(°) longitude (E)	北纬/(°) latitude (N)	样本个数 samples size
HN	河南南阳	113.23	32.49	12
LN	辽宁大连、鞍山	121.52	39.46	30
SX	山西运城	111.52	35.02	3
JD	山东1(鲁东)	121.20	36.86	19
YN	云南大理	100.92	25.35	3
LZN	山东2(鲁中南)	117.02	36.14	42
HB	河北秦皇岛	119.46	39.82	32
JS	江苏连云港、新沂、南京	118.34	34.20	9

位点 locus	引物序列(5'-3') primer sequence(5'-3')	退火温度/℃ annealing temperature	位点 locus	引物序列(5'-3') primer sequence(5'-3')	退火温度/℃ annealing temperature
MSQ13	F:TGGCTGCACCTATGGCTCTTAG R: ACACTCAGACCCACCATTTTTCC	54	QV11	F:ACCAATGTGAAAAGGGAAG R:TGGGTTTGGTTTCTTCTTCT	55
MSQ16	F:GGAACAACTAGAGAGAAC R:TTGCCTATCCTGCCCCGTAT	52	QV12	F:CAGCTCTGGATGGATATAATG R:ACATGCATGGAGAGAAATAGA	55
QM58TGT	F:GGTCAGTGTATTTTGTTGGT R:AAATGTATTTTGCTTGCTCA	52	QV14	F:AGAGCAATTCCCAACTAACTT R:TAGTTCAAGATCTGAGCCAAA	55
QpZAG36	F:GATCAAAATTTGGAATATTAAGAGAG R:ACTGTGGTGGTGAGTCT AACATGTAG	57	QrZAG112	F:TTCTTGCTTTGGTGCGCG R:GTGGTCAGAGACTCGGTAAGTATTC	45
QpZAG110	F:GGAGGCTTCCTTCAACCTACT R:GATCTCTTGTGTGCTGTATTT	49	QV3	F:TATCTTTTGTGGGGGAAGATA R:AGAAGGCCTCATCTTTCTTTA	55
QrZAG7	F:CAACTTGGTGTTCGGATCAA R:GTGCATTTCTTTTATAGCATTCAC	51	QV10	F:TGCCTTATTGTTGATGCTG R:CAAAATCCAAAAGGCCAAAC	55
QV4	F:ATTCATTTTTCTCCACCAAA R:CCATTATGATTGGATTAGGG	55	GA-1H14	F:GCTTGGGCTTGTTCCTACT R:CAACACTTCTCATGGATTAGAGA	58
QV6	F:CGCTTGCCACAATAGTAATAA R:AAGTACCAAAAATGACAATG	55	GA-Oi21	F:ATATGGTCCCGATTAATTC R: GGGCAACATTCAAATGTATCTA	50
QV8	F:CCTGCTTCCAATATTCTCATA R:GCAAAATCACTCATCAAGAAC	55	QM67-3Ml	F:GCGTCGGTGGCGGCTTAGAGATT R: TGGCTTATCCAATGTTTGTGATT	55

位点 locus	样本量 sample size	N_a	N_e	I	H_o	H_e	F	F_st	N_m
QV8	5.500	3.625	2.675	0.985	0.742	0.514	-0.484	0.399	0.377
QV10	9.750	5.500	3.733	1.312	0.875	0.629	-0.458	0.298	0.589
MSQ13	3.000	3.125	2.771	0.911	0.750	0.495	-0.583	0.437	0.323
MSQ16	9.375	9.875	6.944	2.025	1.000	0.841	-0.193	0.070	3.312
QV11	8.625	4.500	3.429	1.292	1.000	0.691	-0.473	0.175	1.176
QrZAG7	13.625	6.250	3.916	1.451	0.875	0.673	-0.304	0.218	0.897
GA-1H14	5.750	7.250	5.889	1.654	0.875	0.719	-0.224	0.229	0.842
QV6	2.750	2.875	2.217	0.852	0.625	0.448	-0.397	0.511	0.240
QM67-3M1	8.750	2.000	1.778	0.632	0.875	0.444	-0.974	0.288	0.619
QPZAG36	2.375	3.125	2.764	0.936	0.750	0.503	-0.560	0.452	0.303
QRZAG112	11.625	4.875	3.670	1.356	1.000	0.711	-0.432	0.134	1.620
QPZAG110	11.625	8.625	5.292	1.713	1.000	0.749	-0.404	0.134	1.622
QV3	12.375	7.000	4.675	1.626	1.000	0.760	-0.335	0.108	2.073
QV4	8.500	5.375	3.791	1.398	1.000	0.709	-0.445	0.134	1.616
QM58TGT	12.375	13.125	9.547	2.267	1.000	0.861	-0.176	0.092	2.465
QV14	8.000	7.625	5.587	1.748	1.000	0.775	-0.333	0.141	1.525
GA-Oi21b	10.125	3.500	2.559	0.976	0.750	0.519	-0.460	0.397	0.380
QV12	2.500	3.000	2.643	0.949	1.000	0.579	-0.784	0.319	0.534
平均mean	8.146	5.625	4.104	1.338	0.895	0.645	-0.441	0.252	1.140

群体 popula- tion	样本量 sample size	N_a	N_e	I	H_o	H_e	F	P_PPL/%
HB	12.833	6.611	4.497	1.483	0.944	0.696	-0.403	94.44
HN	5.111	5.278	4.080	1.427	0.944	0.696	-0.389	94.44
JD	7.611	6.333	4.586	1.514	1.000	0.724	-0.437	100.00
JS	3.611	4.333	3.595	1.202	0.833	0.600	-0.432	83.33
LN	13.778	7.333	5.162	1.569	0.944	0.711	-0.372	94.44
LZN	19.556	10.389	6.405	1.929	0.996	0.805	-0.256	100.00
SX	1.278	2.444	2.407	0.831	0.778	0.491	-0.648	77.78
YN	1.389	2.278	2.102	0.748	0.722	0.441	-0.694	72.22
平均 mean	8.146	5.625	4.104	1.338	0.895	0.645	-0.441	89.58

变异来源 source of variation	自由度 df	均方和 SS	均方偏差 MS	变异方差分量 variance componets	方差分量占比/% percentage of variation
群体间among populations	7	77.171	11.024	0.113	2
群体内within populations	292	2 071.659	7.095	7.095	98
总计total	299	2 148.830	18.119	7.208	100

基于SSR标记的麻栎天然群体遗传多样性分析

Genetic diversity analyses of Quercus acutissima based on SSR markers

RichHTML

PDF

可视化

摘要/Abstract

引用本文

使用本文

图/表 9

参考文献 34

相关文章 15

编辑推荐

Metrics

本文评价

作者

读者

审稿

群体 population	HB	HN	JD	JS	LN	LZN	SX	YN
HB	—	0.501	0.657	0.624	0.775	0.755	0.314	0.246
HN	0.691	—	0.508	0.436	0.529	0.619	0.435	0.474
JD	0.420	0.677	—	0.555	0.751	0.775	0.347	0.291
JS	0.471	0.830	0.589	—	0.616	0.702	0.231	0.205
LN	0.255	0.637	0.286	0.484	—	0.801	0.321	0.281
LZN	0.281	0.480	0.255	0.354	0.222	—	0.413	0.343
SX	1.159	0.833	1.057	1.465	1.135	0.885	—	0.311
YN	1.403	0.746	1.235	1.587	1.271	1.071	1.167	—

[1]	王芝懿, 李振芳, 彭婵, 陈英, 张新叶. 基于荧光SSR标记的紫薇遗传多样性分析[J]. 南京林业大学学报（自然科学版）, 2023, 47(2): 61-69.
[2]	王欢利, 严灵君, 黄犀, 王仲伟, 汤诗杰. 南京椴群体遗传多样性和遗传结构分析[J]. 南京林业大学学报（自然科学版）, 2023, 47(1): 145-153.
[3]	李惠芝, 关庆伟, 赵家豪, 李俊杰, 王磊, 李凤凤, 左兴平, 陈斌. 地形对麻栎人工林土壤肥力质量的影响[J]. 南京林业大学学报（自然科学版）, 2022, 46(5): 161-168.
[4]	冯一宁, 李因刚, 祁铭, 周鹏燕, 周琦, 董乐, 徐立安. 基于SSR标记的福建省闽楠代表性群体遗传多样性分析[J]. 南京林业大学学报（自然科学版）, 2022, 46(4): 102-108.
[5]	葛大朋, 任媛, 赵俊, 王玉婷, 刘学庆, 苑兆和. 西藏石榴野生群体的SSR遗传多样性分析[J]. 南京林业大学学报（自然科学版）, 2022, 46(3): 127-133.
[6]	何旭东, 郑纪伟, 教忠意, 窦全琴, 黄利斌. 基于SLAF-seq技术的舒玛栎群体遗传多样性与遗传结构分析[J]. 南京林业大学学报（自然科学版）, 2022, 46(2): 81-87.
[7]	高景斌, 徐六一, 叶建仁. 马尾松松材线虫病抗性无性系的筛选和遗传多样性分析[J]. 南京林业大学学报（自然科学版）, 2021, 45(5): 109-118.
[8]	陈兴彬, 徐海宁, 肖复明, 孙世武, 娄永峰, 邹元熹, 徐小强. 陈山红心杉1.5代种子园遗传多样性和子代父本分析[J]. 南京林业大学学报（自然科学版）, 2021, 45(3): 87-92.
[9]	臧明月, 李璇, 方炎明. 基于SSR标记的白栎天然居群遗传多样性分析[J]. 南京林业大学学报（自然科学版）, 2021, 45(1): 63-69.
[10]	范洪旺, BUI Van Thang, 陶晓, 管致玮, 许克福. 城乡空间差异对麻栎林土壤活性有机碳的影响[J]. 南京林业大学学报（自然科学版）, 2020, 44(4): 151-158.
[11]	乔东亚, 王鹏, 王淑安, 李林芳, 高露璐, 杨如同, 汪庆, 李亚. 基于SNP标记的紫薇遗传多样性分析[J]. 南京林业大学学报（自然科学版）, 2020, 44(4): 18-25.
[12]	孙岩啸,王贤荣,孙蕾,贾明. 无花果栽培品种遗传多样性分析及SSR指纹图谱构建[J]. 南京林业大学学报（自然科学版）, 2018, 61(06): 197-202.
[13]	冯源恒,杨章旗,李火根,徐慧兰. 马尾松育种进程中的遗传增益与遗传多样性变化[J]. 南京林业大学学报（自然科学版）, 2018, 61(05): 196-200.
[14]	伊贤贵,陈洁,尤禄祥,从睿,王华辰,段一凡,王贤荣. 山樱花群体遗传多样性的SSR分析[J]. 南京林业大学学报（自然科学版）, 2018, 61(05): 25-31.
[15]	周长品,翁启杰,甘四明,姬红霞,陈升侃,王莉,李发根. 应用SNaPshot技术对桉树SNP的检测[J]. 南京林业大学学报（自然科学版）, 2018, 61(04): 83-88.