24份古荔枝種質(zhì)資源ISSR遺傳多樣性分析（英文）

陸貴鋒 黃川 劉鈺 廖慧茜 丁峰 羅紅衛(wèi) 李冬波 李鴻莉 彭宏祥 朱建華 黃鳳珠 徐寧 秦獻泉

Abstract：【Objective】The present study explored the genetic diversity and relationships of Guangxi ancient litchi germplasm resources in order to provide references for utilization of germplasm resources and variety breeding. 【Method】The genetic relationships of 24 ancient litchi varieties were analyzed using ISSR molecular marker. 【Result】Thirteen primers with clear bands and favorable repeatability were selected from 100 ISSR primers； 96 bands were amplified altogether and 43 of them were polymorphic bands with a polymorphism proportion of 44.79%， and 7.4 bands were amplified by each primer on average. The genetic similarity coefficients among the tested ancient litchi germplasm resources ranged from 0.43 to 1.00 with average relative genetic similarity coefficient of 0.61. UPGMA cluster analysis results indicated that， the 24 tested germplasm resources of ancient litchi could be classified into three groups when genetic similarity coefficient was 0.66. Group Ⅰ came from Lingshan county， Guangxi； Group Ⅱ derived from Guiping city， Beiliu cuty， Yulin city， Lingshan county and Daxin county in Guangxi； Group Ⅲ came from Beiliu city and Lingshan county in Guangxi. 【Conclusion】The hereditary basis among the 24 varieties of ancient litchi in Guangxi is extensive， and they can serve as excellent materials for cross breeding of litchi in the future.

Key words： ancient litchi； ISSR molecular marker； genetic diversity； cluster analysis

CLC number： S667.1 Document code： A Article：2095-1191（2017）02-0197-05

摘要：【目的】了解廣西古荔枝種質(zhì)資源的遺傳多樣性及其親緣關(guān)系，為其種質(zhì)資源利用和品種選育等提供參考?！痉椒ā坎捎肐SSR分子標(biāo)記技術(shù)對24份古荔枝種質(zhì)資源的遺傳多性及親緣關(guān)系進行分析?！窘Y(jié)果】從100條ISSR引物中篩選出13條帶形清晰、重復(fù)性好的引物，共擴增出96條條帶，其中有43條為多態(tài)性條帶，多態(tài)性比例為44.79%，平均每條引物擴增的條帶數(shù)為7.4條。供試古荔枝種質(zhì)資源間的遺傳相似系數(shù)范圍為0.43～1.00，平均相對遺傳相似系數(shù)為0.61。UPGMA法聚類分析結(jié)果表明，在遺傳相似系為0.66處供試的24份古荔枝種質(zhì)資源被分為三大類群。類群Ⅰ均來自廣西靈山縣，類群Ⅱ來自廣西桂平市、北流市、玉林市、靈山縣和大新縣，類群Ⅲ來自廣西北流市和靈山縣。【結(jié)論】24個廣西古荔枝品種資源間的遺傳基礎(chǔ)寬，可作為今后荔枝雜交選育的優(yōu)良種質(zhì)資源。

關(guān)鍵詞：古荔枝；ISSR分子標(biāo)記；遺傳多樣性；聚類分析

0 Introduction

【Research significance】Litchi（Litchi chinesis Sonn）， belonging to Sapindaceae family， Litchi genus， is a typical subtropical evergreen fruit tree native to and widely distributed in southern China. With the reputation of“Fruit King in South of the Five Ridges”， litchi is renowned throughout the world for its bright color， juicy and tender flesh. Litchis carry abundant germplasm resources from the diversified environments they live in， and such resources include wild， semi-wild and cultivated ancient litchi trees distribute in different areas. ISSR（Inter-simple sequence repeat） is a new type of DNA molecular marker based on SSR sequence information in plant genomes created by Zietkiewicz et al.（1994）. Its main advantages are as follows： no DNA sequence information is required， easy to utilize with favorable repeatability and rich polymorphism. The analysis of genetic diversity and relationship of ancient litchi germplasm resources with ISSR can help with understanding of diversity and genetic relationship of litchi germplasm resources， germplasm innovation and variety breeding of litchi. 【Research progresses】Currently， ISSR marker has been widely applied to variety identification， genetic diversity analysis and drawing of plant genomes in plant genetics and breeding. Yang et al.（2013） analyzed the genetic relationships of 13 varieties of Camellia semiserrata Chi with ISSR， and the results indicated that the 13 varieties（series） of C. semiserrata Chi could be classified into three groups and hereditary basis among the variety resources of C. semiserrata Chi in Guangxi was extensive. Lu et al. （2013） analyzed genetic diversity of Dendrobium germplasm resources in different areas with ISSR， and 24 Dendrobium samples from different areas were classified into six groups with rich genetic diversity. Feng et al.（2014） analyzed genetic diversity and relationship of germplasm resources of Chinese chestnut with ISSR. The results indicated that the 49 varieties of Chinese chestnut could be classified into two main groups， and the first of which can be divided into two sub-groups； varieties coming from the same region were almost in the same group. Vu et al.（2011） analyzed genetic diversity of corn germplasm resources with ISSR， and the 21 corn varieties could be classified into three main groups with the similarity coefficients ranging from 0.52 to 0.90.【Research breakthrough point】Currently， the genetic diversity analysis of litchi mainly focused on cultivated varieties， and few was analyzed on germplasm resources of hundred-year-old ancient litchi. Furthermore， the related researches of ancient litchi mostly focused on the flowering characteristics and fruit quality， and no studies on germplasm resources and genetic diversity of ancient litchi from molecular level have been reported. 【Solving problems】With 24 varieties of ancient litchi in Guangxi as the samples， ISSR molecular marker was adopted to analyze their genetic diversity and relationship in order to provide theoretical guidance for protection of germplasm resources of ancient litchi and lay foundation for their effective utilization and breeding of new litchi varieties.

1 Materials and methods

1. 1 Experimental materials

The 24 tested ancient litchi germplasm resources were taken from wild， semi-wild and cultivated ancient litchi trees over 100-year-old in various litchi-producing areas in Guangxi. They are all locally representative or of excellent features such as large fruit， early blossoming， aborted seeds and good quality （Table 1）.

The used reagents SDS， Tris， EDTA， CTAB and β-mercaptoethanol were all imported analytical reagents purchased from Beijing Solarbio Science & Technology Co.，Ltd.； the conventional chemical reagents were domestic analytical reagents； and dNTP， DL2000 DNA Marker and Taq enzyme were purchased from Sangon Biotech（Shanghai） Co.， Ltd.

1. 2 Experimental methods

1. 2. 1 Sample collection Young and mature leaves with no diseases or insect pests were collected from strong ancient litchi trees growing in different areas of Guangxi ， and they were quick-frozen by liquid nitrogen and stored under -20 ℃ for total DNA extraction.

1. 2. 2 Extraction of litchi genome DNA The modified CTAB method（Lichtenstein and Draper，1985） was adopted to extract genome DNA from healthy litchi leaves. Its mass was tested by 0.8% agarose gel electrophoresis（AGE） and the concentration and purity were tested by ultraviolet spectrophotometer； in the end， the DNA was diluted to 100 ng/μL and put into a refrigerator under -20 ℃.

1. 2. 3 Primer selection and ISSR amplification The DNA templates of four typical varieties（series） were selected from the 24 ancient litchi resources for PCR amplification of 100 universal ISSR primers to select those with favorable polymorphism. The 20.00 μL ISSR-PCR reaction system included 1.00 μL of 40 ng/μL template DNA， 0.50 μL of 2.5 mmol/L dNTPs， 0.16 μL of 5.0 U/μL Taq polymerase， 1.00 μL of 10 μmol/L primer， 2.50 μL of 10×PCR Buffer solution， and ddH2O was increased to 20.00 μL. The PCR reaction procedure was as follows： 3 min of initial denaturation under 95 ℃； 40 s of that under 95 ℃， 40 s of that under 55 ℃ and 2.5 min of that under 72 ℃ for 35 cycles； and then 10 min of extension under 72 ℃. The amplification products were added with 4.00 μL 6× loading Buffer and separated by electrophoresis with 1.8% agarose gel（5.00 μL of Gold ViewTM DNA dye was added to each 100 mL）； DL2000 DNA Ladder was adopted as the standard molecular weight for comparison； the electrophoretic voltage and current were 120 V and 48 mA， respectively； and observation and photographing were conducted in the gel imaging system.

1. 3 Statistical analysis

The amplification products from the same primer with the same electrophoretic mobility were considered homologous. The obtained images were counted manua-

lly； 1 was marked if there was a band at the same sized band location， while 0 if not to establish the Excel tabular database； DICE method in NTSYS 2.10e was adopted to calculate the genetic similarity coefficient and cluster analysis was conducted using unweighted pair group method arithmetic averages（UPGMA）.

2 Results and analysis

2. 1 Extraction and test results of litchi genome DNA

High-quality DNA was crucial for the stability and reliability of experiment results. The electro-

phoretic detection results indicated that CTAB method in this experiment could steadily extract the genome DNA of litchi leaves， whose OD260/OD230 measured by ultraviolet spectrophotometer was larger than 2.0 and OD260/OD280 was about 1.8. The results of 0.8% agarose gel electrophoretic detection indicated that the DNA bands were clear and integral with no trail（Fig.1）. The above results suggested that genome DNA of litchi leaves extracted by the modified CTAB method was of pure and high quality， thus it could meet the requirements of subsequent experiments.

2. 2 Analysis on polymorphism of primer amplification

Through the optimized reaction system，13 primers with clear band form and favorable repeatability were selected from 100 ISSR primers for statistical analysis. The results indicated that 96 bands were amplified from the 13 primers， and 43 of them（44.79%） were polymorphic bands. Each primer could amplify 5 to 11 bands， 7.4 on average， with the most（11 bands） from UBC844 and the least（4 bands） from UBC815（Table 2）； the amplification products ranged from 300 to 2000 bp. Most of the amplified fragments varied from 350 to 1600 bp. The amplification results of primers UBC817 and UBC818 were shown in Fig.2. The above results indicated that ancient litchi in China enjoyed high genetic diversity which was possibly related to the complex genetic background due to long-term cross pollination and diversified ecological environments.

2. 3 Cluster analysis on genetic similarity

NTSYS 2.10e was adopted to calculate ISSR amplification of germplasm resources of 24 ancient litchi resources. The results indicated that the genetic similarity coefficient between each two tested resources of ancient litchi ranged from 0.43 to 1.00 with the ave-

rage of 0.61. It suggested that hereditary basis between the resources was extensive. The dendrogram of gene-

tic relationship was established by UPGMA. According to the results of Fig.3， the 24 litchi resources could be classified into three groups with similarity of 0.66. The first group included Dendrobenthamia japonica var. chinensis， Millennium litchi， Nuomici， Huazhi litchi and Dashui litchi from Lingshan county， Qinzhou. The second group included Dingxiang， He litchi， Water litchi from Madong town， Guiping， Guigang； He litchi， Dingxiang， Sour litchi and He litchi from Beiliu， Yulin； Y-6 from Daxin； Y-2， Y-1， Y-3 and Y-5 from Jiangning town， Bobai county of Yulin city； Y-4 from Anning township， Jingxi as well as Jinfeng and Areca-nut litchi from Lingshan county. The third group included Dazao， Dahongpao and Red litchi from Beiliu city， and Dazao from Lingshan of Yulin city.

3 Discussion

Based on SSR， ISSR marker is a new molecular marker with the advantages of both RAPD and SSR （Zietkiewicz et al.， 1994； Daniel et al.， 2002）. ISSR marker is widely adopted because of good repeatability and being more stable than RAPD（Ge and Sun， 1999）， and it also presented higher polymorphism by detec-

ting the differences among multiple genetic loci（Zietkiewicz et al.， 1994； Blair et al.， 1999）. Studies on the genetic diversity of plant germplasm resources such as corn（Vu et al.， 2011）， walnut（Chen et al.， 2012） and dendrobe（Lu et al.， 2013） indicated that ISSR is very sensitive， reliable and easy to operate. Litchi has a long cultivation history and enjoys abundant germplasm resources in China. According to Litchi Record of Guangxi（1986） and previous investigations by us， seedling litchi resources are widely distributed in southwestern Guangxi and ancient litchi tree resources are also concentrated in this area. However， there is a lack of ancient trees with advantageous hereditary features despite the abundant germplasm resources. It is of great significance to the preservation and utilization of germplasm resources to conduct analysis on the genetic diversity of ancient litchi resources with molecular marker. In the present study， 13 ISSR primers were adopted to analyze the genetic diversity of 24 ancient litchi resources in Guangxi and 96 bands in total were amplified，43 of which（44.79%） were of polymorphic bands， indicating the polymorphism of genome DNA in ancient litchi groups. The variation amplitude of genetic similarity coefficients among the 24 varieties of ancient litchi resources was higher， suggesting that the hereditary basis among ancient litchi resources in Guangxi was extensive.

It was also found that different kinds of Dazao collected from different areas had close genetic distance， thus they were placed in the same group； the genetic distances among litchi from different areas were far from each other； the several varieties of wild litchi with close genetic distances in this experiment were placed in the same group； Dendrobenthamia japonica var. Chinensi， Millennium litchi， Nuomici， Huazhi litchi and Dashui litchi were placed in the same group for their close genetic distances. Furthermore， ISSR analysis indicated that the complex genotype was found among different ancient litchi resources which collected from different areas of Guangxi， and multiple polymorphism genetic loci were also found in them. These analysis results of the genetic diversity of ancient litchi in Guangxi， the main litchi producing area， could provide research foundation for the collection， identification， evaluation and innovation of germplasm resources， and expand the hereditary basis of breeding materials by introduction， seedling variation selection and mutation breeding with the support of abundant ancient litchi resources in Guangxi， in order to provide germplasm resources for the breeding of new and improved litchi varieties.

4 Conclusion

There are abundant ancient litchi resources with high genetic diversity in Guangxi. The 24 varieties of ancient litchi resources collected in this experiment can be classified into three main groups by ISSR molecular marker， suggesting that the hereditary basis is extensive among the germplasm resources of ancient litchi in Guangxi， and they can serve as excellent materials for cross breeding of litchi in the future.

References：

Blair M W，Panaud O，Mccouch S R. 1999. Inter-simple sequence repeat（ISSR） amplification for analysis of microsatellite motif frequency and fingerprinting in rice（Oryza sativa L.）[J]. Theoretical and Applied Genetics， 98（5）：780-792.

Chen S Y， Zhang Y， Chen X， Mao Y L， Dong R Q. 2012. Genetic relationship of 27 walnut germplasm resources based on ISSR Markers[J]. Journal of Northwest Forestry University， 27（4）：108-112.

Daniel P， Gao F Y， Giovanna A. 2002. Inter-simple sequence repeat markers for finger printing and determining genetic relationship of walnut（Juglansregia） cultivars[J]. Journal of the American Society for Horticultural Science，127（1）：75-81.

Feng D， Zhang Y L， Ning D L， Chen S Y， Wu T， Wang Y. 2014. Genetic diversity and relative analysis of superior chesnut（Castane mollissima） cultivars based on ISSR Markers in Yunnan[J]. Journal of West China Forestry Science， 43（5）： 117-121.

Ge X J， Sun M. 1999. Reproductive biology and genetic diversity of a cryptoviviparous mangrove Aegiceras corniculatum （Myrtinaceae） using allozyme and inter simple sequence repeat（ISSR） analysis[J]. Molecular Ecology， 8（12）：2061-2069.

Lu J S， Bu C Y， Lv W L， Su J M， Huang C Y， Li C N. 2013. ISSR analysis on genetic diversity of germplasms resources in Dendrobium SW. from different habitats[J]. Chinese Traditional and Herbal Drugs， 44（1）：96-100.

Lichtenstein C P， Draper J. 1985. Genetic engineering of plants[M]//Glover D M. DNA Cloning： A Practical approach. Oxford， UK： IRL Press： 67-119.

Vu V L， Nguyen T T L， Nguyen T T， Vu T B H， Pham Q T， Nguyen T P T. 2011. Genetic diversity of maize（Zea mays L.） accessions using inter-simple sequence repeat（ISSR） markers[J]. Journal of Southern Agriculture， 42（9）： 1029-1034.

Yang C F， Chen B L， Huang C M， Lv W L. 2013. ISSR analysis on genetic relation among 13 species of Camellia crepnelliana Tutch.[J]. Journal of Southern Agriculture， 44（9）：1421-1425.

WU Ren-shan. 1986. Litchi Record of Guangxi[M]. Nanning： Guangxi Science and Technology Press.

Zietkiewicz E，Rafalski A，Labuda D. 1994. Genome fingerprint-

ing by simple sequence repeat（ISSR） anchored polymerase chain reaction amplification[J]. Genomics， 20（2）：176-183.

（責(zé)任編輯 陳德元）