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走馬胎種質資源遺傳多樣性的ISSR分析

2017-05-30 10:48:04毛世忠李景劍蔣小華丁莉趙博鄧濤馬虎生
廣西植物 2017年1期

毛世忠 李景劍 蔣小華 丁莉 趙博 鄧濤 馬虎生

摘要: 走馬胎(Ardisia gigantifolia)是紫金牛科(Myrsinaceae)紫金牛屬(Ardisia)多年生小灌木植物。走馬胎作為我國傳統中藥材,已有多年的藥用歷史。目前,走馬胎不再局限于臨床藥用,在食療和保健方面的開發利用嶄露頭角,大大擴展了其應用范圍。隨著走馬胎市場需求量的增大,野生走馬胎植物被過度采挖,導致野生走馬胎資源幾乎枯竭。人工栽培走馬胎逐漸成為供應藥用市場的主力軍,但是人工栽培走馬胎種質、種子來源混雜,常會造成質量和療效的不穩定,而利用分子標記技術可以從分子水平上對走馬胎進行種質的區分和評價。該研究利用ISSR分子標記技術,對來自廣西地區的36份走馬胎種質資源進行了遺傳多樣性分析,采用POPGEN32軟件進行數據分析,用UPGMA軟件繪制聚類圖。結果表明:14條ISSR引物共檢測到136個清晰的擴增位點,多態性位點112個,多態位點百分率為82.35%;Neis基因多樣性指數(H)為0.296 5,Shannon多樣性指數(I)為0.441 7,基因分化系數(Gst)為0.855 8。個體間的遺傳相似系數為0.667 8~0.838 2,平均為0.739 1。基于聚類分析可知,所有的個體被劃分為5類,其中絕大多數來自相同或者鄰近地區的個體嚴格按照地理位置聚為相同的一類或者亞類,只有少數個體在歸類上與地理位置相悖。研究證明ISSR分子標記技術在評價走馬胎種質資源親緣關系和遺傳變異等方面有很好的適用。該研究結果為該藥用植物的種質資源評估和引種栽培提供了科學依據。

關鍵詞: 走馬胎, 分子標記, ISSR分子檢測, 種質資源, 遺傳多樣性

Ardisia is the largest genus in the family of the Myrsinaceae, approximately consisting of 500 species of evergreen shrubs and trees throughout the subtropical and tropical regions of the world (Chen & Pipoly, 1996). Ardisia species have been used as sources for both food and folk medicine. Ardisia gigantifolia, is mainly distributed in Guangxi Zhuang Autonanous Region, Guangdong, Fujian and Jiangxi provinces, China (Feng et al, 2011). This plant has been used as an important traditional Chinese medicine to treat rheumatoid arthritis and inflammatory diseases in China for thousands of years as evident by ancient records (Mu et al, 2001). A. gigantifolia is also used for treatment of bruises sprains, blood stasis, tumors and chronic ulcers diseases. Recently, diverse types of compounds have been isolated from this medicinal plant, such as saponins, coumarins, and quinones (Kobayashi & De Mejía, 2005). In addition, very interesting bioactivities, such as antitumor, antiinflammation, antivirus, antiHIV, and antioxidation properties have been described for compounds isolated from this species (Kobayashi & De Mejía, 2005). A literature survey showed that A. gigantifolia contained dimeric 1, 4benzoquinone derivatives that are rarely found in nature (Liu et al, 2009). However, with the market demand increasing and destruction of wild resources intensifying, A. gigantifolia is being destroyed at an alarming rate, and has been listed as the rare medicinal plant (Mao et al, 2010). Investigation of germplasm resources and evaluation of genetic diversity of A. gigantifolia will help ascertain the present condition of this medicinal plant and thus offer practical advices for its further breeding, utilization and conservation.

Genetic diversity analysis has proven to be a useful strategy for revealing genetic backgrounds and relationships of germplasm resources. In the past decades, research on A. gigantifolia has been carried out. However, most of these studies focused on morphology, cytology and biochemistry, very little is known about the genetic diversity and genetic variation in A. gigantifolia (Gao et al, 2015; Tuo & Wang, 2012; Shu et al, 2011). Molecular markers based on polymerase chain reaction (PCR) are widely used since they require small amount of DNA and are effective and technically simple. The more popular markers are random amplified polymorphic DNA (RAPD) (Li & Nelson, 2002), simple sequence repeat (SSR) (Qi et al, 2004), and intersimple sequence repeat (ISSR) (Van der Nest et al, 2000). The principle of ISSR is similar to RAPD in that randomly sequence primers used. However, the ISSR primer sequences consist of a dior trinucleotide simple sequence repeat amplifying the regions between two microsatellite repeats. As compared with RAPD, ISSR markers are more reproducible (Semagn et al, 2006) with polymorphic bands produced (Reddy et al,2002). Since its establishment, ISSR has been widely used for analyses on genetic diversity, gene mapping and phylogenetic relationship in multiple species (Sun et al, 2014; Wei et al, 2014; Li et al, 2014; Li et al, 2015).

The identification and estimation of genetic diversity and relationships of elite varieties or promising varieties of A. gigantifolia is important because it provides the basic information for breeding programs and conservation and can ultimately have a direct effect on the production and quality of this medicinal plant. In this work, our aims were to construct the fingerprinting and assess the genetic diversity of A. gigantifolia germplasm resources from different places of Guangxi in China using ISSR markers. Our study will uncover valuable raw materials that provide crucial genetic diversity information for conservation and breeding of A. gigantifolia.

1Materials and Methods

Though wild A. gigantifolia is distributed in Guangxi Zhuang Autonornous Region, Guangdong, Jiangxi and Fujian provinces, etc. in China, among which Guangxi is the main distribution region. Unfortunately, the wild A. gigantifolia is dispersedly distributed with very small number of individuals so that it is very difficult to find and collect. To evaluate the sampling strategies, we surveyed, collected, selected, conserved and documented 52 germplasm resources of A. gigantifolia mainly by phenotypic traits over a period of five years. According to geographic origins, all accessions of germplasm resources have been planted and conserved in the germplasm repository in Guangxi Institute of Botany, Guilin, China. For molecular assays, a total of 36 samples were originally and randomly collected from these plants. Fresh leaves in squaring period were randomly collected and desiccated in silica gel for molecular analyses. The details of the studied samples are summarized in Table 1.

Extraction of DNA was performed with 0.1 g starting material of leaves by using the Plant Genomic DNA Extraction kit (Tiangen Biotech Co., China), according to the manufacturers instructions. The DNA concentration was estimated by standard spectrophotometric method at 260 and 280 nm UV lengths by Thermo Scientific Nanodrop 2 000 and the integrity by gel electrophoresis in a 0.8% agarose gel. DNA samples were then diluted to 30 ng·μL1 work concentration.

A total of 100 ISSR primers were synthesized by Sangon Biotech (Shanghai) Co., Ltd. (China), according to the public biotechnology website of University of British Columbia. These primers were then screened using a few DNA samples and the primers which yielded polymorphism bands were used initially for amplification to optimize the PCR conditions. Finally, fourteen of them yielded clearly, reproducible and relatively high polymorphism bands were used for ISSR analysis (Table 2). The PCR reaction was carried out in 25 μL of mixture containing 30 ng of genomic DNA, 2.0 mmol·L1 MgCl2, 0.2 mmol·L1 dNTP, 10 × PCR buffer, 1 mmol·L1 primer and 1 U Taq DNA polymerase (Sangon Biotech. Co., Ltd., Shanghai, China). The PCR cycling conditions were as follows: 94 ℃ for 3 min (initial denaturation), then followed by 39 cycles at 94 ℃ for 30 s (denaturation), annealing at optimal temperature for 45 s, 72 ℃ for 2 min (extension), with a final 7 min extension at 72 ℃ and then a cool down to 4 ℃. The amplified ISSR fragments along with DL2000 DNA marker (TaKaRa Co., Ltd., Dalian, China) were resolved in 1.5% agarose gels in TAE buffer at 110 V for 50 min. Gels with amplification fragments were visualized and photographed under UV light.

The amplified DNA fragments were identified as present (1) or absent (0). The dataset was converted into a mathematical matrix used by the POPGENE32

software to perform statistical analyses, and calculate the index of genetic diversity, the observed total number of alleles (Na), effective allele number (Ne), percentage of polymorphic bands (PPB), Nei gene diversity (He, Nei, 1973), and Shannons information index (I, Shannon & Weaver, 1949). A cluster dendrogram (UPGMA) was constructed to evaluate the genetic relationship for these accessions based on the average genetic distances using the NTSYS software (Yeh et al, 1997; Rohlf, 2000).

2Results and Analysis

The extent of genetic diversity among the thirtysix accessions of A. gigantifolia, a total of 100 ISSR primers were screened and fourteen primers yielded clearly, reproducible and relatively high polymorphism bands were selected for further ISSR analysis (Fig. 1). ISSR primers produced different numbers of DNA fragments, depending upon their simple sequence repeat motifs. The fourteen selected primers generated altogether 136 unambiguous and reproducible bands, of which 112 (82.35%) were polymorphic, the sizes ranging from 250 to 2 000 bp, the numbers of bands varied from eight to twelve, with an average of 9.7 bands per primer (Table 2).

The number of alleles is one of the most important genetic components for genetic diversification in populations. The percentage of polymorphicbands (PPB) for this species was 82.35% (Table 2). The mean observed number of alleles (Na) was 1.823 5, while the mean effective number of alleles (Ne) was 1.510 1. The Neis gene diversity (H) was 0.296 5, and Shannons indices (I) was 0.441 7. These results demonstrate that A. gigantifolia has a relatively high level of genetic diversity.

The total gene diversity (Ht) and the gene diversity within populations (Hs) were 0.274 1 and 0.039 5 respectively. According to Gst = Ht-Hs/Ht, all the samples of this species from different locations had a coefficient of genetic diversification (Gst) of 0.855 8.

Based on similarity coefficient among 36 samples, cluster analysis was carried out using UPGMA method and resulted in a phylogenetic dendrogram shown in Fig. 2. All the samples that could be classified into two

Fig. 3Threedimensional plot of the principal coordinate analysis (PCoA) of distance among 36 A. gigantifolia accessions

big groups and then further divided into five subgroups with a similarity coefficient value of 0.70. The clustering result of A. gigantifolia samples corresponded generally with the geographical distribution of their collections. However, there were still a few accessions could not be distinguished clearly. Generally, the result of PCoA was in accordance with that of genetic clustering analysis (Fig. 3). These findings clearly indicate a distinct differentiation between A. gigantifolia germplasms from various geographic origins.

3Discussion and Conclusion

In recent years, a number of quantitative measures of genetic diversity have been proposed in the context of species conservation (Krajewski, 1994). The studies of the genetic diversity do not only help us to understand the present condition and appreciate genetic structure of our resources, but also help conserve biodiversity, as well as development and utilization of germplasms. In China, there are countless medicinal plants that have been widely used for treatment of many kinds of diseases. Nevertheless, with the increasingly serious environmental damage and excessive collection, many wild germplasm resources are facing destruction and are in danger of extinction. It would be an unprecedented disaster if medical cures were lost due to the extinction of these plants. Although A. gigantifolia had a long cultivating history as medicinal plant, there is little research on evaluating its germplasm diversity and how to construct a core collection. We investigated and evaluated the wild and cultivated A. gigantifolia in the past few years. Our results showed that the wild resources had been excessively excavated in the past decade and the wild resources reserves were not sufficient to meet the growing demands of medical utilization and chemical extraction industry. The cultivating area of A. gigantifolia has been increasing in recent years but still inadequate to meet the supply and demand in China. Some old problems are still unresolved and new problems are arising, such as decline in genetic diversity, yield and quality, etc. All these problems need to be resolved in the future. The development of a core collection will help cultivators create lowcost strategies to evaluate this medicinal plant germplasm.

There are different sampling strategies to construct core collection for germplasm resources. Cluster and principal coordinate analysis have been widely used as an important tool to group samples for constructing core collections (Zhang et al, 2004; Hintum, 1995) and grouping data based on molecular markers (Chabane & Valkoun,2004). In the present study, we tested the usability of ISSR primers to investigate the level and distribution of genetic diversity in wild and cultivated populations of A. gigantifolia from Guangxi. We used fourteen out of the 100 ISSR primers tested, and 112 polymorphic bands in a total of 136 bands (PPB=82.35%) were identified in the 36 accessions. The analyzed results of genetic diversity parameters showed that the initial collection of A. gigantifolia germplasm resource had large genetic diversity at a molecular level (Na=1.823 5,Ne=1.510 1,He=0.296 5,I=0.441 7). The cluster dendrogram (UPGMA) and principal coordinate analysis (PCoA) clearly showed the genetic relationship among all germplasms. All the germplasms and genetic information not only provided valuable raw materials to construct core collection of A. gigantifolia, but also provided the information for selecting and perserving the quality of this medicinal plant.

In conclusion, the results in this study indicated a great level of genetic variation among Guangxi wild A. gigantifolia germplasm. The majority of these natural accessions from similar or adjacent regions were clustered into one group with a few exceptions. Those accessions growing in similar environment generally were also clustered together. This result indicated that differentiation of A. gigantifolia gene pools from different regions might have resulted from reproductive isolation and divergent natural selection arising from wide geographic separation. However, there were still a few accessions showed a great difference from the majority of accessions, which might be due to the diffusion of introduced species or the introgression. We assume that human activities maybe one possible reason for the anomaly. These accessions were collected from their original populations and may have been cultivated in different places. It is important to collect and protect natural populations of A. gigantifolia in Guangxi, and contamination or difusion of introduced species must be avoided. In addition, in order to broaden genetic bases and improve genetic depression of the cultivated accessions, it is necessary to select wild accessions with greater genetic differences as parent accessions for crossbreeding, and these combinations might have potential for improving the quality and yield of the cultivars.

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